AECE - Advances in Electrical and Computer Engineering Journal http://www.aece.ro/ AECE - Advances in Electrical and Computer Engineering Journal RSS feed en-us Copyright (C) 2019 www.aece.ro Simulation Analyses of Behaviours of Spatially Extended Predator-Prey Systems with Random Fluctuations http://dx.doi.org/10.4316/aece.2008.01001 http://dx.doi.org/10.4316/aece.2008.01001 M., ISHIKAWA, We often observe some kind or another of random fluctuations in physical, chemical and social phenomena to a greater or lesser extent. The analysis of influence of such fluctuations on phenomena is very important as a basic problem in various fields including design and planning of controlled systems in control engineering and analysis of option pricing in economics. In this paper, focusing on biological communities, we study the influence of the random fluctuations on predator-prey systems with diffusion. Noting that interaction of phytoplankton and zooplankton is the basis of a food chain in the lake and the ocean, we consider the two-species predator-prey systems consists of phytoplankton and zooplankton. We analyze the influence of the random fluctuations on the spatio-temporal patterns generated by phytoplankton and zooplankton by the numerical simulations. Wed, 02 Apr 2008 00:00:00 +0300 Temperature Optimization of a Naphtha Splitter Unit http://dx.doi.org/10.4316/aece.2008.01002 http://dx.doi.org/10.4316/aece.2008.01002 A., NEVADO, L. M., ONATE, J., SANZ, R., ALCALDE, K., SLAVEN, A fully reliable and efficient adaptive control methodology has been long awaited in industry due to the time-varying nature of industrial plants. This paper demonstrates that this kind of adaptive solution is now available and simple to apply by presenting the first application of a methodology called Adaptive Predictive Expert (ADEX) Control in a petrochemical production unit. A description of the plant and the ADEX solution is followed by a comparative analysis of the results obtained with those of the existing conventional PID control. The objectives of the application involving the naphtha splitter at the Puertollano Refinery of Repsol were to establish the viability of ADEX in this environment, increase the quality of the naphtha products by achieving closer compliance with desired specification and maximizing the economic yield. To achieve these objectives it was necessary to enhance the stability of the naphtha splitter by improving control of the principal variables and eliminating a degree of interaction between them which was causing a resonance problem in the column. The application of the ADEX system confirm its viability, demonstrated a marked increase in column stability, significant improvements in levels of control and the elimination of the resonance problems. Wed, 02 Apr 2008 00:00:00 +0300 The Role of Weather Indicators in Energy Consumption http://dx.doi.org/10.4316/aece.2008.01003 http://dx.doi.org/10.4316/aece.2008.01003 C., NITU, A. S., DOBRESCU, This paper presents a method for predicting the consumption of energy. The prediction is realized for the energy used for heating, where the thermal comfort has an important role. The equations that define the thermal comfort in function of the weather indicators are also mandatory for the research. Wed, 02 Apr 2008 00:00:00 +0300 Speed Control of Switched Reluctance Motor Using Fuzzy Sliding Mode http://dx.doi.org/10.4316/aece.2008.01004 http://dx.doi.org/10.4316/aece.2008.01004 A., TAHOUR, H., ABID, A. G., AISSAOUI, In this paper, a fuzzy logic controller (FLC) is designed, based on the similarity between the FLC and the sliding mode control (SMC), for a class of nonlinear system to tackle the nonlinear control problems with modelling uncertainties, plant parameters variations and external disturbances. The proposed scheme gives fast dynamic response with no overshoot and zero steady-state error. To show the validity and the effectiveness of the control method, simulations are performed for the speed control of a switched reluctance motor. The simulation results show that the controller designed is more effective than the conventional sliding mode controller in enhancing the robustness of control systems with high accuracy. Wed, 02 Apr 2008 00:00:00 +0300 Correct Application of the Discrete Fourier Transform in Harmonics http://dx.doi.org/10.4316/aece.2008.01005 http://dx.doi.org/10.4316/aece.2008.01005 V., MAIER, S. G., PAVEL, C. D., MAIER, I., BIROU, The importance of the harmonic analysis and its frequent utilization in different applications impose a complete accuracy. The conditions which provide a correct harmonic analysis are emphasized and analytically justified in this paper. By using an efficient algorithm, a virtual instrument for the harmonics analysis has been realised in LabVIEW by the authors. This program was a very useful and efficient tool in order to emphasize, from the practical point of view, all the errors analytically outlined. The translation of some superior harmonics to inferior order ones represents a possible and harmful phenomenon pointed out as well. Wed, 02 Apr 2008 00:00:00 +0300 Spectral Shaping for Codes with P.S.D. Expressed by Rational Functions http://dx.doi.org/10.4316/aece.2008.01006 http://dx.doi.org/10.4316/aece.2008.01006 N. D., ALEXANDRU, M. L., ALEXANDRU, Based on the fact that spectral shaping of digital data signals is obtained by encoding and that there exist spectrally equivalent digital filters, the method of Justesen was applied to derive digital filters that approximate the power spectral density (p.s.d.) of a code. The (2,2,3) code, which belongs to the class of FAS (Finite Autocorrelation Sequence) codes showing a limited number of values of the autocorrelation function that are not zero, was used as an example. The spectral properties of the (2,2,3) code are thoroughly investigated in terms of autocorrelation function values and p.s.d. both as a function of normalised frequency fn and the probability of a mark p. The prediction coefficients for the digital filter implementations are derived using approximations by Markov processes of the third, fourth and fifth order. The resulting spectra are compared with those of (2,2,3) code. Wed, 02 Apr 2008 00:00:00 +0300 Client Provider Collaboration for Service Bundling http://dx.doi.org/10.4316/aece.2008.01007 http://dx.doi.org/10.4316/aece.2008.01007 I. A., LETIA, A., MARGINEAN, The key requirement for a service industry organization to reach competitive advantages through product diversification is the existence of a well defined method for building service bundles. Based on the idea that the quality of a service or its value is given by the difference between expectations and perceptions, we draw the main components of a frame that aims to support the client and the provider agent in an active collaboration meant to co-create service bundles. Following e3-value model, we structure the supporting knowledge around the relation between needs and satisfying services. We deal with different perspectives about quality through an ontological extension of Value Based Argumentation. The dialog between the client and the provider takes the form of a persuasion whose dynamic object is the current best configuration. Our approach for building service packages is a demand driven approach, allowing progressive disclosure of private knowledge. Wed, 02 Apr 2008 00:00:00 +0300 Dynamically Integrating Knowledge in Applications An Online Scoring Engine Architecture http://dx.doi.org/10.4316/aece.2008.01008 http://dx.doi.org/10.4316/aece.2008.01008 D., GOREA, The paper presents an method for dynamically integrating knowledge capabilities into applications.The method consists in the applications cooperating with a dedicated system that provides knowledge via Web Services. We propose such a system, called DeVisa, which collects prediction models from one or more producers and provides prediction services to consumers. The prediction services are further used in decision making or business intelligence processes within the consumer applications. Wed, 02 Apr 2008 00:00:00 +0300 Onto-SimFCA: A Two-step Mapping Method for Ontologies in MAS http://dx.doi.org/10.4316/aece.2008.01009 http://dx.doi.org/10.4316/aece.2008.01009 I. A., LETIA, M., COSTIN, The problem of ontology mapping is tackled in the context of MAS and real life ontologies, context that requires an increased degree of dynamism and the ability to handle high amounts of data. Our solution follows the guidelines of lazy mapping, striving to map only what is necessary and only when it is necessary by using lexical based mapping methods combined with proxy ontologies. However, we are not omitting from this endeavor the accuracy of mapping since our twolayer process has FCA as the second mapping step. Wed, 02 Apr 2008 00:00:00 +0300 Ontology-Based Knowledge Organization for the Radiograph Images Segmentation http://dx.doi.org/10.4316/aece.2008.01010 http://dx.doi.org/10.4316/aece.2008.01010 O., MATEI, The quantity of thoracic radiographies in the medical field is ever growing. An automated system for segmenting the images would help doctors enormously. Some approaches are knowledge-based; therefore we propose here an ontology for this purpose. Thus it is machine oriented, rather than human-oriented. That is all the structures visible on a thoracic image are described from a technical point of view. Wed, 02 Apr 2008 00:00:00 +0300 User Head Movement Recognition and Interpretation System for Computer Interaction http://dx.doi.org/10.4316/aece.2008.01011 http://dx.doi.org/10.4316/aece.2008.01011 C. O., UNGUREAN, The aim of the paper is to describe a system for the head gesture recognition developed in the frame of INTEROB project1. The goal of this project consists in developing an interaction based on gestures with information on robotic systems. In the paper we discussed a method for controlling the mouse pointer movements on the screen by recognizing the operator head movements captured by a video camera. In the second part of the paper it is described a fast and accurate method for hand posture recognition in video sequences. Wed, 02 Apr 2008 00:00:00 +0300 Modeling Shapes for Pattern Recognition: A Simple Low-Cost Spline-based Approach http://dx.doi.org/10.4316/aece.2008.01012 http://dx.doi.org/10.4316/aece.2008.01012 R. D., VATAVU, S. G., PENTIUC, L., GRISONI, C., CHAILLOU, We present a simple procedure for modeling shapes and trajectories of points using cubic polynomial splines. The procedure may prove useful for researchers working in the field of pattern recognition that are in the search of a simple functional representation for shapes and which are not particularly interested in diving into the hightheoretical aspects of more complex representations. The use of splines brings in a few advantages with regards to data dimensionality, speed and accuracy of processing, with minimal effort required for the implementation part. We describe several algorithms for data reduction, spline creation and query for which we provide pseudo code procedures in order to demonstrate the ease of implementation. We equally provide measurements on the approximation error and rate of data reduction. Wed, 02 Apr 2008 00:00:00 +0300 The Automated System for Identification of License Plates of Cars http://dx.doi.org/10.4316/aece.2008.01013 http://dx.doi.org/10.4316/aece.2008.01013 V., FRATAVCHAN, D., SHKILNJUK, The paper focuses on the automated traffic rule control system. It examines the basic scheme of the system, basic constituents, principles of constituent interactions, search methods of moving objects, localization, and identification of the license plate. Wed, 02 Apr 2008 00:00:00 +0300 Integration of Simulink Models with Component-based Software Models http://dx.doi.org/10.4316/aece.2008.02001 http://dx.doi.org/10.4316/aece.2008.02001 N., MARIAN, S., TOP, Model based development aims to facilitate the development of embedded control systems by emphasizing the separation of the design level from the implementation level. Model based design involves the use of multiple models that represent different views of a system, having different semantics of abstract system descriptions. Usually, in mechatronics systems, design proceeds by iterating model construction, model analysis, and model transformation. Constructing a MATLAB/Simulink model, a plant and controller behavior is simulated using graphical blocks to represent mathematical and logical constructs and process flow, then software code is generated. A Simulink model is a representation of the design or implementation of a physical system that satisfies a set of requirements. A software component-based system aims to organize system architecture and behaviour as a means of computation, communication and constraints, using computational blocks and aggregates for both discrete and continuous behaviour, different interconnection and execution disciplines for event-based and time-based controllers, and so on, to encompass the demands to more functionality, at even lower prices, and with opposite constraints. COMDES (Component-based Design of Software for Distributed Embedded Systems) is such a component-based system framework developed by the software engineering group of Mads Clausen Institute for Product Innovation (MCI), University of Southern Denmark. Once specified, the software model has to be analyzed. One way of doing that is to integrate in wrapper files the model back into Simulink S-functions, and use its extensive simulation features, thus allowing an early exploration of the possible design choices over multiple disciplines. The paper describes a safe translation of a restricted set of MATLAB/Simulink blocks to COMDES software components, both for continuous and discrete behaviour, and the transformation of the software system into the S-functions. The general aim of this work is the improvement of multi-disciplinary development of embedded systems with the focus on the relation between control engineering and software engineering. Mon, 02 Jun 2008 00:00:00 +0300 Structure for Improving Short-Circuit Capability and the Method for Protecting the IGBT Devices http://dx.doi.org/10.4316/aece.2008.02002 http://dx.doi.org/10.4316/aece.2008.02002 A., HALLOUCHE, A., TILMATINE, A short-circuit is a serious situation in a circuit. That is why the determination of the fault current during the operation of the IGBT requires suitable gestures in order to realise a better and reliable operation for the power converters. Thus, it is necessary to know the extreme operating limits for these devices since the use of the IGBT in power converters often subjects them to certain significant electric constraints such as, the short-circuit and the turn OFF on the inductive load. This paper presents then a means of protection for a safe and precise shutdown of the fault current in the device. This circuit allows the IGBT to operate without risks, and permits a reduction of the conduction losses in the device without compromising the characteristics of protection of the short-circuit. Mon, 02 Jun 2008 00:00:00 +0300 Modeling and Sizing of Supercapacitors http://dx.doi.org/10.4316/aece.2008.02003 http://dx.doi.org/10.4316/aece.2008.02003 D., PETREUS, D., MOGA, R., GALATUS, R. A., MUNTEANU, Faced with numerous challenges raised by the requirements of the modern industries for higher power and higher energy, supercapacitors study started playing an important role in offering viable solutions for some of these requirements. This paper presents the surface redox reactions based modeling in order to study the origin of high capacity of EDLC (electrical double-layer capacitor) for better understanding the working principles of supercapacitors. Some application-dependent sizing methods are also presented since proper sizing can increase the efficiency and the life cycle of the supercapacitor based systems. Mon, 02 Jun 2008 00:00:00 +0300 Transformer Internal Faults Simulation http://dx.doi.org/10.4316/aece.2008.02004 http://dx.doi.org/10.4316/aece.2008.02004 A., KOOCHAKI, S. M., KOUHSARI, G., GHANAVATI, This paper presents a novel method of modeling internal faults in a power transformer. The method leads to a model which is compatible with commercial phasor-based software packages. Consequently; it enables calculation of fault currents in any branch of the network due to a winding fault of a power transformer. These currents can be used for evaluation of protective relays' performance and can lead to better setting of protective functions. Mon, 02 Jun 2008 00:00:00 +0300 Automated Nuclear Quadruple Resonance Spectrometer http://dx.doi.org/10.4316/aece.2008.02005 http://dx.doi.org/10.4316/aece.2008.02005 M., IVANCHUK, V., BRAJLOVSKYJ, Improvement of an autodyne Nuclear quadruple resonance spectrometer is offered. The change of frequency of oscillatory LC circuit of the spectrometer is carried out in two ways: by varicap and variable capacitor. A processor module for the capacitor and varicap control is developed. The unit allows to scan and measure the level and frequency of the NQR-signal. The unit is controlled by the personal computer. Mon, 02 Jun 2008 00:00:00 +0300 Wireless System for Remote Tilt Measurement in Monitoring and Control Applications http://dx.doi.org/10.4316/aece.2008.02006 http://dx.doi.org/10.4316/aece.2008.02006 D., MOGA, R. A., MUNTEANU, M., DUMITREAN, M., DOBRA, R., MOGA, The wireless system for remote measurement of tilt measures the tilt angles of an object with respect to the local g-vector and communicates the measurements toward a mobile device able to display them or to transfer them further to a PC or to a PDA. A low cost implementation solution is presented, with references to both the hardware platform and to the main ideas behind the algorithms present in the software. Higher versatility is achieved through avoidance of the need to calibrate the sensor to the local value of the g acceleration, using algorithms in which this value does not appear in the computation process. Mon, 02 Jun 2008 00:00:00 +0300 Virtual Lab for Wireless Sensor Networks http://dx.doi.org/10.4316/aece.2008.02007 http://dx.doi.org/10.4316/aece.2008.02007 D., PICOVICI, A. V., CONTIU, A., TOPA, J., NELSON, This article details an experimental system developed to enhance the education and research in the area of wireless networks technologies. The system referred, as Virtual Lab (VL) is primarily targeting first time users or users with limited experience in programming and using wireless sensor networks. The VL enables a set of predefined sensor networks to be remotely accessible and controlled for constructive and time-efficient experimentation. In order to facilitate the user's wireless sensor applications, the VL is using three main components: a) a Virtual Lab Motes (VLM), representing the wireless sensor, b) a Virtual Lab Client (VLC), representing the user's tool to interact with the VLM and c) a Virtual Lab Server (VLS) representing the software link between the VLM and VLC. The concept has been proven using the moteiv produced Tmote Sky modules. Initial experimental use clearly demonstrates that the VL approach reduces dramatically the learning curve involved in programming and using the associated wireless sensor nodes. In addition the VL allows the user's focus to be directed towards the experiment and not towards the software programming challenges. Mon, 02 Jun 2008 00:00:00 +0300 A Genetic Algorithm Approach to DNA Microarrays Analysis of Pancreatic Cancer http://dx.doi.org/10.4316/aece.2008.02008 http://dx.doi.org/10.4316/aece.2008.02008 N. T., MELITA, I., POPESCU, S., HOLBAN, We address the problem of collecting and analyzing vast amount of information in medicine and biology, in the light of the revolutionary technological evolution during the last decades. Currently, the methods of achieving information challenge our capacity to sort and process that data. However, we use the methods of machine learning to sort and analyze this information. In this comprehensive review we describe an experiment of analyzing DNA microarrays using a Genetic Algorithm for feature selection. We study how we can establish a causal relationship between a pattern of genic expression and the evolution of pancreatic cancer using a Genetic Algorithm. Mon, 02 Jun 2008 00:00:00 +0300 Static Test Compaction for VLSI Tests An Evolutionary Approach http://dx.doi.org/10.4316/aece.2008.02009 http://dx.doi.org/10.4316/aece.2008.02009 D., LOGOFATU, The test compaction is one of most important requirement regarding the large scale integration (LSI) testing. The overall cost of a VLSI circuit's testing depends on the length of its test sequence; therefore the reduction of this sequence, keeping the coverage of error prone points, will lead to a reduction of used resources in the testing process. This problem is NP-complete. Consequently an optimal algorithm doesn't have applicability in practice. In this paper we describe an evolutionary algorithm (GATC) and we introduce the term of compaction factor (cf), i.e. the expected percentage of compacted test sequence. GATC provides in praxis better results than a greedy approach (GR) for many configurations. This improvement comes from the freedom to merge randomly pairs of compatible tests for different candidates to solution and keeps the ones with more Don't care positions, thus there is an increased probability to find for them compatible tests in the next stage. Also the C++ implementation was optimized, using compact data structures and the Standard Template Library. Mon, 02 Jun 2008 00:00:00 +0300 Methodological Principles of Pyramidal and Parallel-Hierarchical Image Processing on the Base of Neural-Like Network Systems http://dx.doi.org/10.4316/aece.2008.02010 http://dx.doi.org/10.4316/aece.2008.02010 V., KOZHEMYAKO, L., TIMCHENKO, A., YAROVYY, The scientific research deals with organization principles of parallel-hierarchical transform for multistage perception and processing, compression and recognition of information in informational structure and computational systems which make use of computational scheme similar to neural. Unified methodological approach was developed for analysis of parallel processes. This approach considers influence of structural hierarchy in dynamics, in other words it tracks processes of spatial areas transformation of correlated and generation of uncorrelated in time elements of generated network, at the time of transition of the network from one stable stage to another. Mon, 02 Jun 2008 00:00:00 +0300 Detecting and Tracking Multiple Users in the Proximity of Interactive Tabletops http://dx.doi.org/10.4316/aece.2008.02011 http://dx.doi.org/10.4316/aece.2008.02011 C. A., TANASE, R. D., VATAVU, S. G., PENTIUC, A., GRAUR, Interactive tabletops allow various opportunities for collaborative work as multiple users may interact simultaneously with the same multimedia content. Despite the fact that the interaction is shared and work is carried out collaboratively by multiple users, it is not always clear who interacts and where as there is no way of knowing where users position themselves at the table. We describe in this paper a method for detecting and tracking multiple users around the physical table using a simple solution implemented with a few short-range distance optical sensors. We are thus able to properly address the following questions: How many users are there? Where are they located around the table? Has a new user approached the tabletop or has someone just left? Are two users close to each other? We believe that answering these questions provides new interaction opportunities enriching thus the overall tabletop experience. We discuss possible applications and describe several implementations. Mon, 02 Jun 2008 00:00:00 +0300 Training Neural Networks Using Input Data Characteristics http://dx.doi.org/10.4316/aece.2008.02012 http://dx.doi.org/10.4316/aece.2008.02012 C., CERNAZANU, Feature selection is often an essential data processing step prior to applying a learning algorithm. The aim of this paper consists in trying to discover whether removal of irrelevant and redundant information improves the performance of neural network training results. The present study will describe a new method of training the neural networks, namely, training neural networks using input data features. For selecting the features, we used a filtering technique (borrowed from data mining) which consists in selecting the best features from a training set. The technique is made up of two components: a feature evaluation technique and a search algorithm for selecting the best features. When applied as a data preprocessing step for one common neural network training algorithms, the best data results obtained from this network are favorably comparable to a classical neural network training algorithms. Nevertheless, the first one requires less computation. Mon, 02 Jun 2008 00:00:00 +0300 The Uniform Engineering of Distributed Control Systems Using the OPC Specification http://dx.doi.org/10.4316/aece.2008.02013 http://dx.doi.org/10.4316/aece.2008.02013 V. G., GAITAN, V., POPA, C., TURCU, N. C., GAITAN, I., UNGUREANU, OPC specifications have considerably contributed to the uniformization and standardization procedures for the software applications gathering process data and exchanging it in a unitary manner. However, this specification does not provide instructions or guidelines on how to achieve the interconnection with field devices. The present article proposes a standardization solution in field networks, which will enable users to gain access to a server with a communication component and several network drivers. Consequently, all engineering aspects related to implementation will be given a uniform interpretation. We will get a uniform engineering of distributed control systems. Mon, 02 Jun 2008 00:00:00 +0300 Indoor Room Location Estimation http://dx.doi.org/10.4316/aece.2008.02014 http://dx.doi.org/10.4316/aece.2008.02014 K., D'HOE, G., OTTOY, J.-P., GOEMAERE, L., De STRYCKER, This paper presents an indoor location estimation system, especially to locate people or objects at room level. First of all a theoretical approach is given. Secondly, a practical case, using our own system, is presented. Our system consists of a ZigBee-based wireless sensor network connected to a central PC. Using the signpost algorithm and considering the behavior of the received signal strength (RSS) through walls, floors and ceilings, we succeeded in developing a reliable indoor room localization system. Mon, 02 Jun 2008 00:00:00 +0300 Efficient Methods for Fast Shading http://dx.doi.org/10.4316/aece.2008.02015 http://dx.doi.org/10.4316/aece.2008.02015 A., ROMANYUK, A., HAST, Y., LYASHENKO, On devices without battery consuming and specialized hardware for rendering, it is important to improve the speed and quality so that these methods are suitable for real-time rendering. Furthermore such algorithms are needed on the coming multicore architectures. We show how the methods by Gouraud and Phong, the commonly most used methods for shading, can be improved and made faster for both software rendering as well as simple low energy consuming hardware implementations. Moreover, this paper summarizes the authors' achievements in increasing shading speed and performance and a Bidirectional Reflectance Distribution Function is simplified for faster computing and hardware implementation. Mon, 02 Jun 2008 00:00:00 +0300 High-Level Models for Transformation-Oriented Design of Hardware and Embedded Systems http://dx.doi.org/10.4316/aece.2008.02016 http://dx.doi.org/10.4316/aece.2008.02016 R., DAMASEVICIUS, V., STUIKYS, Evolution of design methodologies follows a common trail: technology scaling leads to growing design complexity and rising abstraction level in the domain. Introduction of new (higher) abstraction levels emphasizes the importance of reuse and transformations. The design process can be seen as a sequence of high-level transformations from the higher-level specification to the lower-level one. We analyze high-level modeling and metaprogramming techniques for supporting transformations based on domain variability models. Next, we present a reuse evolution model for domain component design at a higher abstraction level to support the transformation-oriented approaches. Finally, high-level modeling techniques (UML-domain language metamodels for domain code generation, parameterized UML classes for template metaprogramming, feature models for explicit representation of variability) for specification of transformations and metaprograms are analyzed. Mon, 02 Jun 2008 00:00:00 +0300 Minimum Field Requirements for Spin-Polarized Current Assisted Switching of Magnetization in Nanostructures with Uniaxial Anisotropy http://dx.doi.org/10.4316/aece.2009.01001 http://dx.doi.org/10.4316/aece.2009.01001 M., DIMIAN, A., GINDULESCU, C., ACHOLO, The present paradigm of magnetic data storage is approaching its fundamental limits for areal storage density, as well as for speed in data processing. As a result, several magnetic recording alternatives, such as spin polarized current assisted recording, precessional switching, toggle switching, heat assisted recording are currently under intense research efforts. This article is aimed at providing a pertinent theoretical analysis of the spin polarized current assisted recording, emphasizing its performance with respect to minimum requirements for switching field. The first analytical derivation of the critical field curve in the presence of spin polarized currents is presented and the results are compared to the classical Stoner-Wohlfarth astroid. The analysis is performed under the framework of the Landau-Lifshitz-Gilbert-Slonczewski equation for describing the magnetization dynamics driven by external magnetic fields and spin polarized currents. Tue, 03 Feb 2009 00:00:00 +0200 A Knowledge Management Scenario to Support Knowledge Applications Development in Small and Medium Enterprises http://dx.doi.org/10.4316/aece.2009.01002 http://dx.doi.org/10.4316/aece.2009.01002 S. M., ROSU, G., DRAGOI, M., GURAN, Nowadays, in the European countries more than 95% of the companies are small and medium-sized enterprises (SMEs) and majority of the European Union employees work in these companies. In order to develop intelligent business to become competitive, the enterprises must increase the quality and technologic level of products and services, to have permanent new product or to make old products bettering and to have a good prices policy. These activities request first a large amount of data, information and knowledge collected from all sources and then request transferring knowledge at each enterprise level. Therefore, this work analyses the state of art of the knowledge and knowledge management (KM) and propose KM scenario to support knowledge applications (KApps) development in SMEs. In addition, the paper presents how can be knowledge bases built at the enterprise level. Tue, 03 Feb 2009 00:00:00 +0200 Calculus of the Power Spectral Density of Ultra Wide Band Pulse Position Modulation Signals Coded with Totally Flipped Code http://dx.doi.org/10.4316/aece.2009.01003 http://dx.doi.org/10.4316/aece.2009.01003 T. N., DURNEA, N. D., ALEXANDRU, UWB-PPM systems were noted to have a power spectral density (p.s.d.) consisting of a continuous portion and a line spectrum, which is composed of energy components placed at discrete frequencies. These components are the major source of interference to narrowband systems operating in the same frequency interval and deny harmless coexistence of UWB-PPM and narrowband systems. A new code denoted as Totally Flipped Code (TFC) is applied to them in order to eliminate these discrete spectral components. The coded signal transports the information inside pulse position and will have the amplitude coded to generate a continuous p.s.d. We have designed the code and calculated the power spectral density of the coded signals. The power spectrum has no discrete components and its envelope is largely flat inside the bandwidth with a maximum at its center and a null at D.C. These characteristics make this code suited for implementation in the UWB systems based on PPM-type modulation as it assures a continuous spectrum and keeps PPM modulation performances. Tue, 03 Feb 2009 00:00:00 +0200 Pulse width Modulation Command Systems Used for the Optimization of Three Phase Inverters http://dx.doi.org/10.4316/aece.2009.01004 http://dx.doi.org/10.4316/aece.2009.01004 O., URSARU, C., AGHION, M., LUCANU, L., TIGAERU, This paper deals with a novel pulse width modulation (PWM) switching strategy for a voltage source inverter through carrier modification. The proposed discontinuous sine carrier PWM (DPWM1) method, which uses two modified sine waves, has a better spectral quality and a higher fundamental component. This improved waveform has been derived from the original sine PWM technique through the addition of the 17-percent third-harmonic component to the original sine reference. Tue, 03 Feb 2009 00:00:00 +0200 Cogging Torque Reduction in Brushless DC Motors Using Slot-Opening Shift http://dx.doi.org/10.4316/aece.2009.01005 http://dx.doi.org/10.4316/aece.2009.01005 S. A., SAIED, K., ABBASZADEH, In this paper, two new methods for the stator skew are introduced. In contrary with the conventional stator skew, this paper is concentrate on the slot-opening skew. The simula-tion result by finite element shows a considerable reduction in the cogging torque of the motors, the new methods are applied to. Moreover the simulations justify that the back-EMF shape remains trapezoidal for various skew angles in contrary with that in the conventional skew, this fact makes the method highly applicable in BLDC motors. Tue, 03 Feb 2009 00:00:00 +0200 Optimal Power Flow Solution Using Ant Manners for Electrical Network http://dx.doi.org/10.4316/aece.2009.01006 http://dx.doi.org/10.4316/aece.2009.01006 B., ALLAOUA, A., LAOUFI, This paper presents ant manners and the collective intelligence for electrical network. Solutions for Optimal Power Flow (OPF) problem of a power system deliberate via an ant colony optimization metaheuristic method. The objective is to minimize the total fuel cost of thermal generating units and also conserve an acceptable system performance in terms of limits on generator real and reactive power outputs, bus voltages, shunt capacitors/reactors, transformers tap-setting and power flow of transmission lines. Simulation results on the IEEE 30-bus electrical network show that the ant colony optimization method converges quickly to the global optimum. Tue, 03 Feb 2009 00:00:00 +0200 Experimental Modelling of the Breakdown Voltage of Air Using Design of Experiments http://dx.doi.org/10.4316/aece.2009.01007 http://dx.doi.org/10.4316/aece.2009.01007 M., REZOUGA, A., TILMATINE, R., OUIDDIR, K., MEDLES, Many experimental and numerical studies were devoted to the electric discharge of air, and some mathematical models were proposed for the critical breakdown voltage. As this latter depends on several parameters, it is difficult to find a formula, theoretical or experimental, which considers many factors. The aim of this paper is to model the critical breakdown voltage in a Sphere-Sphere electrodes system by using the methodology of experimental designs. Several factors were considered, such as geometrical factors (inter-electrodes interval, diameter of the electrodes) and climatic factors (temperature, humidity). Two factorial centred faces experimental designs (CCF) were carried out, a first one for the geometrical factors and a second one for the climatic factors. The obtained results made it possible to propose mathematical models and to study the interactions between the various factors. Tue, 03 Feb 2009 00:00:00 +0200 Energy Based Correlation Method for Location of Partial Discharge in Transformer Winding http://dx.doi.org/10.4316/aece.2009.01008 http://dx.doi.org/10.4316/aece.2009.01008 V., JEYABALAN, S., USA, Partial discharge (PD) is the major source of insulation failure in power transformer. When transformers are subjected to electrical stress during operation, PD can occur. PD identification is an important diagnostic tool for the reliable operation of transformers. The PD signal detection and location is one of the main challenges for system utilities and equipment manufacturers. In this paper energy based correlation method is proposed for locating the source of PD for different pulse durations. Simulation and experiment are performed on lumped physical layer winding to prove the feasibility of the method and also verified with distributed model of 22kV prototype interleaved winding. Tue, 03 Feb 2009 00:00:00 +0200 Radiofrequency Field Distribution Assessment in Indoor Areas Covered by Wireless Local Area Networks http://dx.doi.org/10.4316/aece.2009.01009 http://dx.doi.org/10.4316/aece.2009.01009 S., MICLAUS, P., BECHET, I., BOULEANU, R., HELBET, Electromagnetic environment becomes day by day more congested. Radio communication systems in the short range are now part of everyday life, and there is a need to also assess the pollution level due to their emission if we take into account human health and protection. There is consistent scientific evidence that environmental electromagnetic field may cause undesirable biological effects or even health hazards. Present paper aims at giving a view on exposure level due to wireless local area networks (WLAN) emission solely, as part of environmental radiofrequency pollution. Highly accurate measurements were made indoor by using a frequency-selective measurement system and identifying the correct settings for an error-minimum assessment. We focused on analysis of the electric flux density distribution inside a room, in the far field of the emitting antennas, in case of a single network communication channel. We analyze the influence the network configuration parameters have on the field level. Distance from the source and traffic rate are also important parameters that affect the exposure level. Our measurements indicate that in the immediate vicinity of the WLAN stations the average field may reach as much as 13% from the present accepted reference levels given in the human exposure standards. Tue, 03 Feb 2009 00:00:00 +0200 Cooperative Technique Based on Sensor Selection in Wireless Sensor Network http://dx.doi.org/10.4316/aece.2009.01010 http://dx.doi.org/10.4316/aece.2009.01010 M. R., ISLAM, J., KIM, An energy efficient cooperative technique is proposed for the IEEE 1451 based Wireless Sensor Networks. Selected numbers of Wireless Transducer Interface Modules (WTIMs) are used to form a Multiple Input Single Output (MISO) structure wirelessly connected with a Network Capable Application Processor (NCAP). Energy efficiency and delay of the proposed architecture are derived for different combination of cluster size and selected number of WTIMs. Optimized constellation parameters are used for evaluating derived parameters. The results show that the selected MISO structure outperforms the unselected MISO structure and it shows energy efficient performance than SISO structure after a certain distance. Tue, 03 Feb 2009 00:00:00 +0200 Clustering Techniques in Load Profile Analysis for Distribution Stations http://dx.doi.org/10.4316/aece.2009.01011 http://dx.doi.org/10.4316/aece.2009.01011 E. C., BOBRIC, G., CARTINA, G., GRIGORAS, The demand characteristic is the most important one in analyzing customer information. In a distribution network, there is in any moment certain degree of uncertainty about busses loads, and consequently, about load level of network, busses voltage level, and power losses. Therefore, it is very important to estimate first of all the load profiles of buses, using available data (measurements effectuated in distribution stations). The results obtained for various distribution stations demonstrate the effectiveness of the present method in overcoming the difficulties encountered in optimal planning and operation of distribution networks. Tue, 03 Feb 2009 00:00:00 +0200 The Application of Flow Injection Technology to Automating Cold Vapor Mercury Analyses in Aquatic Ecosystems http://dx.doi.org/10.4316/aece.2009.01012 http://dx.doi.org/10.4316/aece.2009.01012 L., TEODOROF, C., NASTASE, I., ANUTI, M., STROE, Based on flow injection techniques, FIMS is fully automated, fast, and cost-effective. The FIMS uses a high-performance single-beam optical system with a low pressure mercury lamp and solar-blind detector for maximum performance. The FIMS-400 has two stepper motor-driven peristaltic pumps for greater flexibility when used with optional accessories. FIMS is fully controlled from a personal computer using WinLab32 for AA software, a true Microsoft Windows-based program with an unparalleled offering of standard features, including a full range of analytical checks and quality control functions. Tue, 03 Feb 2009 00:00:00 +0200 Induction Motor Speed Estimator Using Rotor Slot Harmonics http://dx.doi.org/10.4316/aece.2009.01013 http://dx.doi.org/10.4316/aece.2009.01013 G., RATA, M., RATA, I., GRAUR, D. L., MILICI, This paper presents a solution for the estimation of induction machine rotor speed utilizing harmonic saliencies created by rotor and stator slotting. This solution purposes to add a carrier-signal voltage at the fundamental excitation. We obtain a carrier-signal current that contains the spatial information. The PWM reference voltage is calculated with DSP - ADMC401, from Analog Device. Tue, 03 Feb 2009 00:00:00 +0200 Speech Therapy Based on Expert System http://dx.doi.org/10.4316/aece.2009.01014 http://dx.doi.org/10.4316/aece.2009.01014 M. H., ZAHARIA, F., LEON, In this paper the design and implementation of an expert speech therapy system is presented. A brief presentation of involved speech therapy process is made. Also the base for designing and implementations of this system is presented too. Tue, 03 Feb 2009 00:00:00 +0200 Preliminary Design of Reluctance Motors for Light Electric Vehicles Driving http://dx.doi.org/10.4316/aece.2009.01015 http://dx.doi.org/10.4316/aece.2009.01015 V., TRIFA, C., MARGINEAN, The paper presents the aspects regarding FEM analysis of a reluctant motor for direct driving of the light electric vehicles. The reluctant motor take into study is of special construction suitable for direct drive of a light electric vehicle. It is an inverse radial reluctant motor, with a fixed stator mounted on front wheel shaft and an external toothed rotor fixed on the front wheel itself. A short presentation of preliminary design is continued with the FEM analysis in order to provide the optimal geometry of the motor and adequate windings. Tue, 03 Feb 2009 00:00:00 +0200 Influence of Different Types of Metal Plates on a High Frequency RFID Loop Antenna: Study and Design http://dx.doi.org/10.4316/aece.2009.02001 http://dx.doi.org/10.4316/aece.2009.02001 K., D'HOE, A., Van NIEUWENHUYSE, G., OTTOY, L., De STRYCKER, L., De BACKER, J.-P., GOEMAERE, B., NAUWELAERS, This paper presents our research on the influence of metal plates on a radio frequency identification (RFID) loop antenna operating at 13.56MHz. More specific we have tested different types of metal plates near a loop antenna in terms of resonance frequency. The performance of an RFID system strongly depends on the configuration of the antenna. The study shows that the resonance frequency will shift up in a metallic environment, resulting in a failing performance. A solution is presented to avoid the influence of a changing environment around a loop antenna. As an example a loop antenna is designed to prove the increase of stability. Tue, 02 Jun 2009 00:00:00 +0300 Data Complexity Metrics for XML Web Services http://dx.doi.org/10.4316/aece.2009.02002 http://dx.doi.org/10.4316/aece.2009.02002 D., BASCI, S., MISRA, Web services that are based on eXtensible Markup Language (XML) technologies enable integration of diverse IT processes and systems and have been gaining extraordinary acceptance from the basic to the most complicated business and scientific processes. The maintainability is one of the important factors that affect the quality of the Web services that can be seen a kind of software project. The effective management of any type of software projects requires modelling, measurement, and quantification. This study presents a metric for the assessment of the quality of the Web services in terms of its maintainability. For this purpose we proposed a data complexity metric that can be evaluated by analyzing WSDL (Web Service Description Language) documents used for describing Web services. Tue, 02 Jun 2009 00:00:00 +0300 Knowledge Acquisition from Historical Documents for Preserving Transylvanian Cultural Heritage http://dx.doi.org/10.4316/aece.2009.02003 http://dx.doi.org/10.4316/aece.2009.02003 I., SALOMIE, M., DINSOREANU, C., POP, S., SUCIU, This paper proposes a solution for preserving the cultural heritage by performing knowledge acquisition from historical documents. We developed a system that gathers knowledge by processing the content of historical documents to enable knowledge retrieval as response to ontologically-guided queries. Knowledge acquisition, one of the main workflows in our system, aims to semantically annotate the content of historical documents and to enrich the domain ontology through lexical annotation and knowledge extraction processes. We use two types of rules in knowledge extraction, one dealing with extracting the relevant information from the documents' content and another one for mapping the extracted information to ontology concepts and properties. Our work was validated on documents available in the Cluj County National Archives addressing the Transylvanian medieval history. Tue, 02 Jun 2009 00:00:00 +0300 A Comparative Study between Two Control Strategies for Matrix Converter http://dx.doi.org/10.4316/aece.2009.02004 http://dx.doi.org/10.4316/aece.2009.02004 G., BACHIR, A., BENDIABDELLAH, The authors compare two control strategies for direct AC-AC matrix converters; namely the Venturini method and the scalar strategy control method. The performance comparison of the two strategies is made under unbalanced distorted torque, rotor speed and stator current operation. The simulation of the three-phase matrix converter feeding an induction motor was accomplished by means of the Matlab/Simulink software. This package makes it possible to simulate the dynamic systems in a simple way and in graphic environment. Tue, 02 Jun 2009 00:00:00 +0300 A High Performance Space Vector Modulation - Direct Torque Controlled Induction Machine Drive based on Stator Flux Orientation Technique http://dx.doi.org/10.4316/aece.2009.02005 http://dx.doi.org/10.4316/aece.2009.02005 M., BOUNADJA, A. W., BELARBI, B., BELMADANI, This paper proposes the design and implementation of a novel direct torque controlled induction machine drive system. The control system enjoys the advantages of stator vector control and conventional direct torque control and avoids some of the implementation difficulties of either of the two control methods. The stator vector control principal is used to keep constant the amplitude of stator flux vector at rated value, and to develop the relationship between the machine torque and the rotating speed of the stator flux vector. Thus, the machine torque can be regulated to generate the stator angular speed, which becomes a command signal and permits to overcome the problem of its estimation. Furthermore, with the combined control methods, the reference stator voltage vector can be generated and proportional-integral controllers and space vector modulation technique can be used to obtain fixed switching frequency and low torque ripple. Simulation experiments results indicate that, with the proposed scheme, a precise control of the stator flux and machine torque can be achieved. Compared to conventional direct torque control, presented method is easily implemented, and the steady performances of ripples of both torque and flux are considerably improved. Tue, 02 Jun 2009 00:00:00 +0300 About a New Type of Fuse Based on the Controllable Fusing Effect http://dx.doi.org/10.4316/aece.2009.02006 http://dx.doi.org/10.4316/aece.2009.02006 A., PLESCA, Fuses are among the best known of electrical devices and there are an extremely large number in use throughout the world. Beside of the advantageous features, the nowadays fuses have certain drawbacks. Therefore, a new type of fuse based on controllable fusing concept is proposed and a study as regards the total clearing time is done. The new concept has been validated through many experimental tests at different current values. The new type of fuse based on controllable fusing concept can be integrated within an overcurrent protection system especially to protect power semiconductors where the Joule integral criterion is better satisfied. Tue, 02 Jun 2009 00:00:00 +0300 Improving Power System Risk Evaluation Method Using Monte Carlo Simulation and Gaussian Mixture Method http://dx.doi.org/10.4316/aece.2009.02007 http://dx.doi.org/10.4316/aece.2009.02007 O. A., MOUSAVI, M. S., FARASHBASHI-ASTANEH, G. B., GHAREHPETIAN, The analysis of the risk of partial and total blackouts has a crucial role to determine safe limits in power system design, operation and upgrade. Due to huge cost of blackouts, it is very important to improve risk assessment methods. In this paper, Monte Carlo simulation (MCS) was used to analyze the risk and Gaussian Mixture Method (GMM) has been used to estimate the probability density function (PDF) of the load curtailment, in order to improve the power system risk assessment method. In this improved method, PDF and a suggested index have been used to analyze the risk of loss of load. The effect of considering the number of generation units of power plants in the risk analysis has been studied too. The improved risk assessment method has been applied to IEEE 118 bus and the network of Khorasan Regional Electric Company (KREC) and the PDF of the load curtailment has been determined for both systems. The effect of various network loadings, transmission unavailability, transmission capacity and generation unavailability conditions on blackout risk has been investigated too. Tue, 02 Jun 2009 00:00:00 +0300 A New Linearization Technique Using Multi-sinh Doublet http://dx.doi.org/10.4316/aece.2009.02008 http://dx.doi.org/10.4316/aece.2009.02008 R. G., BOZOMITU, V., CEHAN, V., POPA, In this paper a new linearization technique using multi-sinh doublet, implemented with a second generation current conveyor is presented. This new linearization technique is compared with the one based on multi-tanh doublets with linearization series connected diodes on the branches. The comparative study of the two linearization techniques is carried out using both dynamic range analysis, expressed by linearity error and the THD value calculation of output current, and the noise behavior of the two analyzed doublets. For the multi-sinh linearization technique proposed in the paper a method which assures the increase of the dynamic range, keeping the transconductance value constant is presented. This is done by using two design parameters: the number of series connected diodes N, which specifies the desired linear operating range and the k emitters areas ratio of the input stage transistors, which establishes the transconductance value. In the paper is also shown that if the transconductances of the two analyzed doublets are identical, and for the same values of N and k parameters, respectively, the current consumption of the multi-sinh doublet is always smaller than for the multi-tanh doublet. Tue, 02 Jun 2009 00:00:00 +0300 FEM Optimal Design of Energy Efficient Induction Machines http://dx.doi.org/10.4316/aece.2009.02009 http://dx.doi.org/10.4316/aece.2009.02009 T., TUDORACHE, L., MELCESCU, This paper deals with a comparative numerical analysis of performances of several design solutions of induction machines with improved energy efficiency. Starting from a typical cast aluminum cage induction machine this study highlights the benefit of replacing the classical cast aluminum cage with a cast copper cage in the manufacture of future generation of high efficiency induction machines used as motors or generators. Then the advantage of replacement of standard electrical steel with higher grade steel with smaller losses is pointed out. The numerical analysis carried out in the paper is based on 2D plane-parallel finite element approach of the induction machine, the numerical results being discussed and compared with experimental measurements. Tue, 02 Jun 2009 00:00:00 +0300 Practical Procedures in Determining the Differential Mode Characteristics of EMI Power Supply Filters http://dx.doi.org/10.4316/aece.2009.02010 http://dx.doi.org/10.4316/aece.2009.02010 H., BALAN, R., MUNTEANU, M., BUZDUGAN, I., VADAN, There are virtually no electronic products today that can comply with the conducted emission regulatory requirements without the use of some form of power supply filter being inserted where the power cord exits the product. Sometimes, properly designed transformers can provide inherent filtering, and so can obviate the need for an intentional filter. Mains EMI (electromagnetic interference) filters carry potentially high currents at dangerously high voltages, so care is essential in their choice. The working voltage and current rating of components can be decided once the specification is known. The basic specification should also include mechanical details such as the enclosure size, and the limit of weight. The electrical specification should include the voltage and current rating. In addition the EMC performance and the allowable leakage current should be specified. The electrical specification must also comply with national safety standards. In the Electrical Equipment Laboratory of the Technical University from Cluj-Napoca, we have made studies on several types of EMI filters and have performed procedures for determining their main differential mode characteristics, presented in the paper for a study of case. Tue, 02 Jun 2009 00:00:00 +0300 Calculation of Reactances for Ring Windings to Toroidal Inductors of Hybrid Induction Machine http://dx.doi.org/10.4316/aece.2009.02011 http://dx.doi.org/10.4316/aece.2009.02011 R., PENTIUC, G., BALUTA, C., POPA, G., MAHALU, The linear induction motors of hybrid structure have a series of particularities and their most precise estimation of practical flows and outlets has a high level of complexity, especially due to the different form of inductor. The personal contribution on theoretical ground is the justification of the relations for the calculation of practical reactances and outlets, which were also validated by the experimental results using the method of effects' overlapping. The theoretical and experimental results confirm the accuracy of methods and greatly confirm the proposed methods. Tue, 02 Jun 2009 00:00:00 +0300 Rotor Pole Shape Optimization of Permanent Magnet Brushless DC Motors Using the Reduced Basis Technique http://dx.doi.org/10.4316/aece.2009.02012 http://dx.doi.org/10.4316/aece.2009.02012 A., JABBARI, M., SHAKERI, A. S., GHOLAMIAN, In this paper, a magnet shape optimization method for reduction of cogging torque and torque ripple in Permanent Magnet (PM) brushless DC motors is presented by using the reduced basis technique coupled by finite element and design of experiments methods. The primary objective of the method is to reduce the enormous number of design variables required to define the magnet shape. The reduced basis technique is a weighted combination of several basis shapes. The aim of the method is to find the best combination using the weights for each shape as the design variables. A multi-level design process is developed to find suitable basis shapes or trial shapes at each level that can be used in the reduced basis technique. Each level is treated as a separated optimization problem until the required objective is achieved. The experimental design of Taguchi method is used to build the approximation model and to perform optimization. This method is demonstrated on the magnet shape optimization of a 6-poles/18-slots PM BLDC motor. Tue, 02 Jun 2009 00:00:00 +0300 Original Approaches for Solving Electromagnetic Interference Problems http://dx.doi.org/10.4316/aece.2009.02013 http://dx.doi.org/10.4316/aece.2009.02013 D. D., MICU, R., MUNTEANU jr., G. C., CHRISTOFORIDIS, B., MANEA, A., CECLAN, The accurate calculation of the current densities induced in layered soil by HV transmission lines in normal conditions is one of the most important steps in the study of the electromagnetic interference between transmission lines and underground metallic structures (i.e. metallic gas pipelines). In electromagnetic interference problems, the best way to investigate the soil's behavior as conducting media is to determine the current distribution within ground. The aim of the present paper is to examine the level of influence that soil layers with different resistivity have on the induced current densities. New analytical formulas for the induced current densities in the two-layer soil case are derived. The determined formulas contain semi-infinite integral terms which are calculated through a stable and efficient numerical integration scheme, in order to overcome the problems arising from the oscillate form of the infinite integrals. In the second part of the paper, the author's contribution relates to the exposure and implementation of a robust Monte Carlo simulation method, in an original approach, for solving ill-posed synthesis magnetic or electric field problems. Tue, 02 Jun 2009 00:00:00 +0300 Application of Functional Analysis on a SCADA System of a Thermal Power Plant http://dx.doi.org/10.4316/aece.2009.02014 http://dx.doi.org/10.4316/aece.2009.02014 M. N., LAKHOUA, The aim of this paper is to present firstly the functionality of a supervisory system for complex processes, and secondly to present the concepts of SCADA (supervisory control and data acquisition) systems. A functional analysis technique SADT (Structured Analysis and Design Technique) has been applied on an example of a SCADA system of a thermal power plant. This technique allows a functional description of a SCADA system. The paper briefly discusses the functions of a SCADA system and some advantages of the application of functional analysis for the design of a human centered supervisory system. Then the basic principles of the SADT technique applied on the SCADA system are presented. Finally, the different results obtained from the SADT technique are discussed. Tue, 02 Jun 2009 00:00:00 +0300 Heavy Metals Extraction and Analysis in Aquatic Ecosystems with Automated Techniques http://dx.doi.org/10.4316/aece.2009.02015 http://dx.doi.org/10.4316/aece.2009.02015 L., TEODOROF, C., NASTASE, I., ANUTI, M., STROE, The proper choice of a measurement technique is only one step in the development of a successful application. All steps leading up to the measurement are equally important to the sampling and the sample preparation process begins at the point of collection and extends to the measurement step. The sample preparation method used to convert the sample into a form suitable for the measurement step can have a greater effect on the overall accuracy and reability of the results and the measurement itself. Sample preparation is one of the important problems in analytical process. The microwave digestion coupled with ICP MS measurements, for the heavy metals analysis is a very useful tools for the environmental samples. Tue, 02 Jun 2009 00:00:00 +0300 Improved Nyquist Filters with a Transfer Characteristic Derived from a Staircase Characteristic Interpolated with Sine Functions http://dx.doi.org/10.4316/aece.2009.02016 http://dx.doi.org/10.4316/aece.2009.02016 N. D., ALEXANDRU, S., POHOATA, This paper investigates a novel approach for constructing a family of ISI-free pulses produced by improved Nyquist filters with a transfer characteristic derived from an ideal staircase frequency characteristic using interpolation with sine functions. They equal or outperform some recently proposed pulses in terms of ISI performance in the presence of sampling errors. The results for error probability outperform the 4th degree polynomial pulse for a reasonable number of interpolation intervals. The proposed pulses were also investigated for OFDM use including DVB systems in order to reduce their sensitivity to frequency offset. The results presented in this paper equal those of recently found pulses in terms of intercarrier interference (ICI) power. Tue, 02 Jun 2009 00:00:00 +0300 Study and Design of a Linear Compressor of Voice-Coil Type http://dx.doi.org/10.4316/aece.2009.02017 http://dx.doi.org/10.4316/aece.2009.02017 I., VADAN, H., BALAN, R., MUNTEANU, The paper presents the design and Finite Element (FEM) analysis of a Linear compressor of voice coil type (LCVCT). This kind of linear compressor will be used in a refrigerator equipment. It is well-known that the replacing of the rotating compressor from a classical refrigerator by a linear compressor leads to an efficiency improving wit about 5% by avoiding the piston side friction, which is very important because of the huge number of refrigerators in operation world-wide. The linear compressor refrigerator is already commercially available in South Korea, equipped with an electromagnetic (fix coil and moving permanent magnet) linear compressor. This paper presents a new type of linear compressor - a voice-coil type (fixed permanent magnet and moving coil). The operation principle is the same as for electrodynamic vibrator or electro-dynamic loud-speaker. The designing with rare earth permanent magnet is not a simple problem, because of the nonlinear characteristic of rare earth magnets. A magneto-static FEM analysis has been performed in order to validate the design methodology proposed in the paper. Tue, 02 Jun 2009 00:00:00 +0300 Study of a Mini-Actuator with Permanent Magnets http://dx.doi.org/10.4316/aece.2009.03001 http://dx.doi.org/10.4316/aece.2009.03001 C., PETRESCU, R., OLARU, The paper presents an analytical method for the determination of the magnetic force produced by a mini - actuator with permanent magnets. The results are compared with those obtained by performing a numerical field analysis with COMSOL Multiphysics, showing a very good agreement. The study reveals that the actuator has two equilibrium points, one of which is stable and the other one unstable. Mon, 26 Oct 2009 00:00:00 +0200 GEOBARN: A Practical Grid Geospatial Database System http://dx.doi.org/10.4316/aece.2009.03002 http://dx.doi.org/10.4316/aece.2009.03002 Z., HUANG, Y., FANG, X., XIE, M., PAN, Recently, more and more geospatial data are generated and distributed with the promising data acquirement techniques like satellite imaging and digital cartography. So, it is an important issue to effectively make use of these huge geospatial data resources. This means that effective data processing technologies need to be developed to support distributed query and analysis operations onto the distributed resources. The emergence of grid computing technology offers a good solution to accomplish this goal. To combine the grid computing technique with geospatial database we design and implement a GGDS (Grid Geospatial Database System) prototype named GEOBARN. Key modules and detailed implementation methods of GEOBARN are discussed in this paper. By using the GEOBARN system, both reliable data management and effective distributed geospatial query can be achieved. Mon, 26 Oct 2009 00:00:00 +0200 Graphical User Interface Aided Online Fault Diagnosis of Electric Motor - DC motor case study http://dx.doi.org/10.4316/aece.2009.03003 http://dx.doi.org/10.4316/aece.2009.03003 S., POSTALCIOGLU OZGEN, This paper contains graphical user interface (GUI) aided online fault diagnosis for DC motor. The aim of the research is to prevent system faults. Online fault diagnosis has been studied. Design of fault diagnosis has two main levels: Level 1 comprises a traditional control loop; Level 2 contains knowledge based fault diagnosis. Fault diagnosis technique contains feature extraction module, feature cluster module and fault decision module. Wavelet analysis has been used for the feature extraction module. For the feature cluster module, fuzzy cluster has been applied. Faults effects are examined on the system using statistical analysis. In this study Fault Diagnosis technique obtains fault detection, identification and halting the system. In the meantime graphical user interface (GUI) is opened when fault is detected. GUI shows the measurement value, fault time and fault type. This property gives some information about the system to the personnel. As seen from the simulation results, faults can be detected and identified as soon as fault appears. In summary, if the system has a fault diagnosis structure, system dangerous situations can be avoided. Mon, 26 Oct 2009 00:00:00 +0200 Simulations and Analysis and Operating Regime as Rectifier with Power Factor Correction of Two - Quadrant Converter with RNSIC http://dx.doi.org/10.4316/aece.2009.03004 http://dx.doi.org/10.4316/aece.2009.03004 I.V., PLETEA, M., PLETEA, D., ALEXA, N., LUCANU, In this paper, a new topology for a two-quadrant converter is presented. In the AC/DC transfer mode, the converter works as a rectifier with near sinusoidal input currents (RNSIC), while in the DC/AC transfer mode it works as a square-wave pulse switching inverter. We offer some suggestions for the converter design and realize a comparison with a two-quadrant PWM converter. The new converter is characterized by smaller power losses, reduced EMI problems and higher reliability. Mon, 26 Oct 2009 00:00:00 +0200 A New Randomized Algorithm for Handling Scheduling Conflicts in Grids http://dx.doi.org/10.4316/aece.2009.03005 http://dx.doi.org/10.4316/aece.2009.03005 H., VAHDAT-NEJAD, K., ZAMANIFAR, As the scale of Grid platforms grows, the idea of a centralized scheduler loses its efficiency, and it is replaced with the scheme of decentralized schedulers. However, a new problem emerges in distributed scheduling systems, which is how to coordinate the autonomous schedulers to avoid the occurrence of conflicting schedules. In this paper, by exploiting the idea of randomized algorithms, a new scheduling scheme has been proposed, which addresses the problem of scheduling conflicts. The proposed algorithm is thoroughly decentralized in the sense that there is no central point of contact in the system. In addition, our approach is a suitable way toward reaching scalability and autonomy in future Grids. We prove the feasibility and effectiveness of the proposed algorithm through statistical analysis. Mon, 26 Oct 2009 00:00:00 +0200 Information Structuring and Retrieval with Topic Maps for Medical E-Learning http://dx.doi.org/10.4316/aece.2009.03006 http://dx.doi.org/10.4316/aece.2009.03006 L., STANESCU, D., BURDESCU, The paper presents original ways of using topic maps for information structuring and retrieval in medical e-learning domain. The topic map is mainly used for graphical visualization of the MeSH thesaurus containing medical terms. The hierarchical structure of the descriptors from MeSH thesaurus that has also multiple associative and equivalence relationships between medical terms can be properly visualized in this way. The topic map is built and populated using an original algorithm, by mapping an xml file that can be downloaded for free to an xtm file that contains the topic map. The paper also presents how to use the topic map for semantic querying of a multimedia database with medical images that are accompanied by diagnosis and treatment as important information. For retrieving the interest information for student, this access path can be combined with another modern solution: the content-based visual query on the multimedia medical database using primitive features like color and texture. Mon, 26 Oct 2009 00:00:00 +0200 A Power-Efficient LC Quadrature VCO for RFID, Zigbee and Bluetooth Standards http://dx.doi.org/10.4316/aece.2009.03007 http://dx.doi.org/10.4316/aece.2009.03007 P., TORKZADEH, M., ATARODI, A multi-band CMOS LC Quadrature Voltage Control Oscillator (QVCO) with minimum power consumption is developed to meet the phase noise and frequency band requirements of RFID, Zigbee and Bluetooth standards. To accomplish the multi-band receiving architecture at low power consumption, current switching technique with optimized cross-coupled transistor sizes has been used. A comprehensive analysis of small signal model for complementary architecture including transistor noise sources and their effects on output phase noise amount has been discussed. Using extracted small signal model, coupled and coupling transistor sizes for minimum power consumption and the least achievable phase noise have been optimized. Designed QVCO has been implemented using TSMC 0.18um CMOS technology operating at 1.8V supply voltage. Proposed QVCO generates two separated frequency bands of 1.65-1.85GHz and 2.4-2.5GHz with phase noise of -125dBc/Hz at frequency offset of 3MHz. The total current drawn by QVCO is 7.5mA which makes the power consumption as low as 13.5mW. Mon, 26 Oct 2009 00:00:00 +0200 Robust and Low-Complexity Timing Synchronization Algorithm and its Architecture for ADSRC Applications http://dx.doi.org/10.4316/aece.2009.03008 http://dx.doi.org/10.4316/aece.2009.03008 J., KIM, H., TRONG ANH, 5.9 GHz advanced dedicated short range communications (ADSRC) is a short-to-medium range communication standard that supports both public safety and private operations in roadside-to-vehicle and vehicle-to-vehicle communication environments. The core technology of physical layer in ADSRC is orthogonal frequency division multiplexing (OFDM), which is sensitive to timing synchronization error. In this paper, a robust and low-complexity timing synchronization algorithm suitable for ADSRC system and its efficient hardware architecture are proposed. The implementation of the proposed architecture is performed with Xilinx Vertex-II XC2V1000 Field Programmable Gate Array (FPGA). The proposed algorithm is based on cross-correlation technique, which is employed to detect the starting point of short training symbol and the guard interval of the long training symbol. Synchronization error rate (SER) evaluation results and post-layout simulation results show that the proposed algorithm is efficient in high-mobility environments. The post-layout results of implementation demonstrate the robustness and low-complexity of the proposed architecture. Mon, 26 Oct 2009 00:00:00 +0200 Considerations on VoIP Throughput in 802.11 Networks http://dx.doi.org/10.4316/aece.2009.03009 http://dx.doi.org/10.4316/aece.2009.03009 A. D., POTORAC, Voice data packets have to arrive at the destination in time, with a defined cadence and with low and constant delay in order to allow the real time voice reconstruction. From this point of view, transmitting voice over IP networks is the most sensitive category of applications, especially when wireless medium is involved. The paper discusses the possibilities of transmitting the maximum number of simultaneous voice streams over 802.11 wireless networks considering the main factors which impact with VoIP throughput, in a basic scenario. Starting from a proposed communication model, the number of simultaneous possible VoIP sessions is calculated, taking into consideration the contribution of the protocol overheads, the security overheads, the PHY level timings and the CODEC proprieties. Numerical results are generated and compared. Mon, 26 Oct 2009 00:00:00 +0200 Single-phased Fault Location on Transmission Lines Using Unsynchronized Voltages http://dx.doi.org/10.4316/aece.2009.03010 http://dx.doi.org/10.4316/aece.2009.03010 M., ISTRATE, A., MIRON, C., ISTRATE, M., GUSA, D., MACHIDON, The increased accuracy into the fault's detection and location makes it easier for maintenance, this being the reason to develop new possibilities for a precise estimation of the fault location. In the field literature, many methods for fault location using voltages and currents measurements at one or both terminals of power grids' lines are presented. The double-end synchronized data algorithms are very precise, but the current transformers can limit the accuracy of these estimations. The paper presents an algorithm to estimate the location of the single-phased faults which uses only voltage measurements at both terminals of the transmission lines by eliminating the error due to current transformers and without introducing the restriction of perfect data synchronization. In such conditions, the algorithm can be used with the actual equipment of the most power grids, the installation of phasor measurement units with GPS system synchronized timer not being compulsory. Only the positive sequence of line parameters and sources are used, thus, eliminating the incertitude in zero sequence parameter estimation. The algorithm is tested using the results of EMTP-ATP simulations, after the validation of the ATP models on the basis of registered results in a real power grid. Mon, 26 Oct 2009 00:00:00 +0200 Multi-Motor Drives for Crane Application http://dx.doi.org/10.4316/aece.2009.03011 http://dx.doi.org/10.4316/aece.2009.03011 N., MITROVIC, V., KOSTIC, M., PETRONIJEVIC, B., JEFTENIC, This paper focuses on the application of adjustable speed induction motor drives for gantry cranes. Modern solution considers application of frequency converters for all drives. Multi-motor drives are standard solutions in crane application and requirements of load sharing are present. Presented algorithm provides load sharing proportional to the rated motor power on the simple and practically applicable method on the basis of estimated torques by frequency converters, and controller realized in PLC. Special attention is devoted to wide span gantry drive and algorithm for skew elimination. Solutions for load distribution in multi-motor drive, as well as mode of gantry drive skew elimination, are described. Suggested solution concept is confirmed by the experimental results. Mon, 26 Oct 2009 00:00:00 +0200 Feature Extraction for Facial Expression Recognition based on Hybrid Face Regions http://dx.doi.org/10.4316/aece.2009.03012 http://dx.doi.org/10.4316/aece.2009.03012 S.M., LAJEVARDI, Z. M., HUSSAIN, Facial expression recognition has numerous applications, including psychological research, improved human computer interaction, and sign language translation. A novel facial expression recognition system based on hybrid face regions (HFR) is investigated. The expression recognition system is fully automatic, and consists of the following modules: face detection, facial detection, feature extraction, optimal features selection, and classification. The features are extracted from both whole face image and face regions (eyes and mouth) using log Gabor filters. Then, the most discriminate features are selected based on mutual information criteria. The system can automatically recognize six expressions: anger, disgust, fear, happiness, sadness and surprise. The selected features are classified using the Naive Bayesian (NB) classifier. The proposed method has been extensively assessed using Cohn-Kanade database and JAFFE database. The experiments have highlighted the efficiency of the proposed HFR method in enhancing the classification rate. Mon, 26 Oct 2009 00:00:00 +0200 The Unit Histogram Concept for Scarce Statistical Information http://dx.doi.org/10.4316/aece.2009.03013 http://dx.doi.org/10.4316/aece.2009.03013 R. D., RUGESCU, The new unit histogram concept is described as increasing with one order of magnitude the amount of statistical information extracted from experimental data. The new statistical technology is particularly suited for very scarce population samples, when it dramatically increases the information extracted from the available data. Otherwise, existing features of the population would remain inaccessible. The method could prove useful also for signal processing, when a high level of accuracy in detail rendition is required. The efficiency of the method is demonstrated in examples of experimental measurement of the combustion heat delivered by rocket propellants. Populations as small as of six readings, where the regular statistics is useless, are successfully processed and characterized. Mon, 26 Oct 2009 00:00:00 +0200 A Fluent Calculus Approach to Automatic Web Service Composition http://dx.doi.org/10.4316/aece.2009.03014 http://dx.doi.org/10.4316/aece.2009.03014 V., CHIFU, I., SALOMIE, Web service composition is mandatory when complex functional requirements cannot be satisfied by a single Web service. Because of the exponential growth of available Web services, their automatic discovery and composition are highly desirable tasks. This paper presents a new approach for automatic Web service composition based on the formalism of Fluent Calculus using semantic service descriptions. In our approach, the Web service composition process is viewed as an AI planning problem in the Fluent Calculus formalism. To semantically describe Web services, we have used a Web service domain ontology which is then translated into a Fluent Calculus knowledge base, necessary for the composition planning phase. For verifying the composed services, the Label Transition System Analyzer (LTSA) formalism is used. The paper also presents an experimental prototype for the Fluent Calculus based Web service composition and demonstrates its effectiveness with the help of an application scenario from the social event planning domain. Mon, 26 Oct 2009 00:00:00 +0200 Simplified Design and Optimization of Slotless Synchronous PM Machine for Micro-Satellite Electro-Mechanical Batteries http://dx.doi.org/10.4316/aece.2009.03015 http://dx.doi.org/10.4316/aece.2009.03015 B., ABDI, J., MILIMONFARED, J., SHOKROLLAHI MOGHANI, A., KASHEFI KAVIANI, Electro-mechanical batteries have important advantages as compared with chemical batteries, especially in low earth orbit satellites applications. High speed slotless external rotor permanent magnet machines are used in these systems as Motor/Generator. Proper material and structure for space applications are introduced. A simplified analytic design method is given for this type of machines. Finally, the optimization of machine in order to have maximum efficiency and minimum volume and weight are given in this paper. Particle swarm optimization is used as the optimization algorithm and the finite element-based simulations are used to confirm the design and optimization process and show less than 1.2% error in parametric design. Mon, 26 Oct 2009 00:00:00 +0200 An Efficient Technique for Classification of Electrocardiogram Signals http://dx.doi.org/10.4316/aece.2009.03016 http://dx.doi.org/10.4316/aece.2009.03016 A., EBRAHIMZADEH, A., KHAZAEE, This work describes a Radial Basis Function (RBF) neural network method used to analyze ECG signals for diagnosing cardiac arrhythmias effectively. The proposed method can accurately classify and differentiate normal (Normal) and abnormal heartbeats. Abnormal heartbeats include left bundle branch block (LBBB), right bundle branch block (RBBB), atrial premature contractions (APC) and premature ventricular contractions (PVC). This paper proposes a three stage, preprocessing, feature extraction and classification method for the detection of ECG beat types. In the first stage, ECG beats is normalized to a mean of zero and standard deviation of unity. Feature extraction module extracts wavelet approximate coefficients of ECG signals in conjunction with three timing interval features. Then a number of radial basis function (RBF) neural networks with different value of spread parameter are designed. We compared the classification ability of five different classes of ECG signals that were achieved over eight files from the MIT/BIH arrhythmia database. Mon, 26 Oct 2009 00:00:00 +0200 Modelling Imprecise Arguments in Description Logic http://dx.doi.org/10.4316/aece.2009.03017 http://dx.doi.org/10.4316/aece.2009.03017 I.A., LETIA, A., GROZA, Real arguments are a mixture of fuzzy linguistic variables and ontological knowledge. This paper focuses on modelling imprecise arguments in order to obtain a better interleaving of human and software agents argumentation, which might be proved useful for extending the number of real life argumentative-based applications. We propose Fuzzy Description Logic as the adequate technical instrumentation for filling the gap between human arguments and software agents arguments. A proof of concept scenario has been tested with the fuzzyDL reasoner. Mon, 26 Oct 2009 00:00:00 +0200 Workload Characterization an Essential Step in Computer Systems Performance Analysis - Methodology and Tools http://dx.doi.org/10.4316/aece.2009.03018 http://dx.doi.org/10.4316/aece.2009.03018 R.T., CHEVERESAN, S., HOLBAN., Computer system performance is a very complex process in which the hardware and software manufacturers invest important human and financial resources. Workload characterization represents an essential component of performance analysis. This paper presents a trace based methodology for software applications evaluation. It introduces a new analysis concept designed to significantly ease this process and it presents a set of experimental data collected using the new analysis structure on a representative set of scientific and commercial applications. Several important conclusions are drawn regarding workload characteristics, classifications and runtime behavior. This type of data is used by the computer architects in their efforts to maximize the performance of the hardware platforms these applications are going to execute on. Mon, 26 Oct 2009 00:00:00 +0200 Implementation of a Fuzzy Logic System to Tune a PI Controller Applied to an Induction Motor http://dx.doi.org/10.4316/aece.2009.03019 http://dx.doi.org/10.4316/aece.2009.03019 K., LAROUSSI, M., ZELMAT, M., ROUFF, The simplicity of traditional regulators makes them popular and the most used solution in the nowadays industry. However, they suffer from some limitations and cannot deal with nonlinear dynamics and system parameters variation. In the literature, several strategies of adaptation are developed to alleviate these limitations. In this paper, we propose a combination of two strategies for PI parameters supervision and adaptation. We apply the obtained structure to the control of induction machine speed. Simulation and experimental results of the proposed schema show good performances as compared to two strategies. Mon, 26 Oct 2009 00:00:00 +0200 Construction and Design of a Modular Permanent Magnet Transverse Flux Generator http://dx.doi.org/10.4316/aece.2010.01001 http://dx.doi.org/10.4316/aece.2010.01001 I.-A., VIOREL, L., STRETE, K., HAMEYER, A simple construction of a modular transverse flux generator with permanent magnets in the rotor is proposed in the paper. The specific technology is detailed and an analytical design algorithm is developed. A simplified model is proposed for calculating the machine heating and three dimensions magnetic flux calculation via finite element method (FEM) is carried on in order to check the main generator characteristics. Sat, 27 Feb 2010 00:00:00 +0200 Adaptive Automatic Gauge Control of a Cold Strip Rolling Process http://dx.doi.org/10.4316/aece.2010.01002 http://dx.doi.org/10.4316/aece.2010.01002 N., ROMAN, E., CEANGA, I., BIVOL, S., CARAMAN, The paper tackles with thickness control structure of the cold rolled strips. This structure is based on the rolls position control of a reversible quarto rolling mill. The main feature of the system proposed in the paper consists in the compensation of the errors introduced by the deficient dynamics of the hydraulic servo-system used for the rolls positioning, by means of a dynamic compensator that approximates the inverse system of the servo-system. Because the servo-system is considered variant over time, an on-line identification of the servo-system and parameter adapting of the compensator are achieved. The results obtained by numerical simulation are presented together with the data taken from real process. These results illustrate the efficiency of the proposed solutions. Sat, 27 Feb 2010 00:00:00 +0200 Fundamental Frequency Estimation of the Speech Signal Compressed by MP3 Algorithm Using PCC Interpolation http://dx.doi.org/10.4316/aece.2010.01003 http://dx.doi.org/10.4316/aece.2010.01003 Z. N., MILIVOJEVIC, M. D., MIRKOVIC, S. M., MILIVOJEVIC, In this paper the fundamental frequency estimation results of the MP3 modeled speech signal are analyzed. The estimation of the fundamental frequency was performed by the Picking-Peaks algorithm with the implemented Parametric Cubic Convolution (PCC) interpolation. The efficiency of PCC was tested for Catmull-Rom, Greville and Greville two-parametric kernel. Depending on MSE, a window that gives optimal results was chosen. Sat, 27 Feb 2010 00:00:00 +0200 Thermal Aspects Related to Power Assemblies http://dx.doi.org/10.4316/aece.2010.01004 http://dx.doi.org/10.4316/aece.2010.01004 A., PLESCA, A., SCINTEE, In many cases when a power assembly based on power semiconductors is used, catastrophic failure is the result of steep temperature gradient in the localized temperature distribution. Hence, an optimal heatsink design for certain industrial applications has become a real necessity. In this paper, the Pro/ENGINEER software with the thermal simulation integrated tool, Pro/MECHANICA, has been used for thermal study of a specific power semiconductor assembly. A series of steady-state and transient thermal simulations have been performed. The experimental tests have confirmed the simulation results. Therefore, the use of specific 3D modeling and simulation software allows to design special power semiconductor assemblies with a better thermal transfer between its heatsink and power electronic components at given operating conditions. Sat, 27 Feb 2010 00:00:00 +0200 Recent Research Progress in Fault Analysis of Complex Electric Power Systems http://dx.doi.org/10.4316/aece.2010.01005 http://dx.doi.org/10.4316/aece.2010.01005 Z., WANG, Y., ZHANG, J., ZHANG, J., MA, In this paper, we adopt a novel approach to the fault analysis of complex electric power systems. Electric power system is one of the most complex artificial systems in the world. Its safe, steady, economical and reliable operating plays a very important part in guaranteeing socioeconomic development, and even in safeguarding social stability. The complexity of electric power system is determined by its characteristics about constitution, configuration, operation, organization, etc. No matter if, we adopt new analytical methods or technical means, we must have a distinct recognition of electric power system itself and its complexity, and increase analysis continuously, operation and control level. In this paper, utilizing real-time measurements of phasor measurement unit, based on graph theory and multivariate statistical analysis theory, we are using mainly Breadth-first search, Depth-first search and cluster analysis. Then, we seek for the uniform laws of marked changes of electrical quantities. Then we can carry out fast and exact analysis of fault component. Finally, we can accomplish fault isolation. According to line fault and bus-bar fault (single-phase fault, phase-to-phase fault and three-phase fault) in complex electric power systems, we have carried out a great deal of simulation experiments and obtained ideal results. These researches have proven that the faults in complex electric power systems can be explored successfully by analysis and calculation based on graph theory and multivariate statistical analysis theory. Sat, 27 Feb 2010 00:00:00 +0200 Study of the Induction Machine Unsymmetrical Condition Using In Total Fluxes Equations http://dx.doi.org/10.4316/aece.2010.01006 http://dx.doi.org/10.4316/aece.2010.01006 A., SIMION, On the basis of the mathematical model, called in total fluxes in a previous paper, and which is proper for the analysis of transient operation of the two-phase induction machine, one obtains the symmetrical steady-state equations, which are valid for three-phase machines, as well. The obtained mathematical expressions are much more simple and easier to use than the consecrated ones, which are generally applied in scientific literature. Moreover, considerations are to be made upon the space-time rotational vectors, emphasizing their importance in understanding the physical phenomena that characterize induction machines. The use of these space vectors is further tested out for the study of unsymmetrical supply, which gives a much faster method in obtaining the electromagnetic torque expression. Finally, the results are compared with the ones that come out from the traditional methods, more exactly, the symmetric component method. Sat, 27 Feb 2010 00:00:00 +0200 Improvement of Dynamical Stability Using Interline Power Flow Controller http://dx.doi.org/10.4316/aece.2010.01007 http://dx.doi.org/10.4316/aece.2010.01007 M. R., BANAEI, A.-R., KAMI, This paper presents a novel linearized Phillips-Heffron model of a power system installed with an Interline Power Flow Controller (IPFC) in order to studying power system stability. In addition, a supplementary controller for a novel modeling IPFC to damp low frequency oscillations with considering four alternative damping controllers is proposed. In this paper selection of effectiveness damping control signal for the design of robust IPFC damping controller to variations in system loading and fault in the power system are discussed. The presented control scheme not only performs damping oscillations but also the independent interline power flow control can be achieved. MATLAB simulation results verify the effectiveness of the IPFC and its control strategy to enhance dynamical stability. Sat, 27 Feb 2010 00:00:00 +0200 Digital Adaptive Echo-Canceller for Room Acoustics Improvement http://dx.doi.org/10.4316/aece.2010.01008 http://dx.doi.org/10.4316/aece.2010.01008 M. D., TOPA, I., MURESAN, B. S., KIREI, I., HOMANA, This paper presents a method to cancel the echoes generated by reflections in a room. The starting point is the full-band adaptive system identification method, where the unknown system is the room, providing several reflections of the sound. A sub-band filtering method is proposed and all the aspects regarding the filter banks, the structure, the number of sub-bands and the order of the required filters are analyzed. The performance is studied with respect to the provided error and the echo return loss enhancement. The asymmetric structure sub-band filtering offers a better performance than the full-band implementation. Increasing the number of sub-bands will also enhance the performance of the system. Sat, 27 Feb 2010 00:00:00 +0200 A Simple and Efficient Control Strategy for Four-Switch Three-Phase Power Converters http://dx.doi.org/10.4316/aece.2010.01009 http://dx.doi.org/10.4316/aece.2010.01009 M., MONFARED, H., RASTEGAR, H. M., KOJABADI, In this paper a simple and high performance power control strategy for four-switch three-phase converters is developed. Compared to already available control schemes, the proposed controller is very simple to derive and implement; however, it is established on a strong mathematical approach based on the knowledge of the system model. The required converter voltage in each sampling period is directly calculated based on reference and measured values of reactive and active powers, system parameters, and the measured voltage of AC source. Then, the reference voltage is synthesized by a PWM block. Simulation results confirm the effectiveness of the proposed method in providing precise power control with minimum distortion and harmonic noises (THDi), and at the same time, low distortion in active and reactive powers. Sat, 27 Feb 2010 00:00:00 +0200 Power Factor Improvement in Switched Reluctance Motor Drive http://dx.doi.org/10.4316/aece.2010.01010 http://dx.doi.org/10.4316/aece.2010.01010 G., VENKATESAN, R., ARUMUGAM, A Switched Reluctance Motor (SRM) drive is a variable speed motor drive system with unique characteristics. The switching of voltage into the phase winding and pulsating AC input current leads to low power factor and high harmonic contents. In this paper, the power factor is improved using boost converter. The hardware results are taken for a DC input voltage of 60 V to the SRM with different load currents. From the results, it is found that the total current harmonic distortion and individual current harmonics are less with Power Factor Controller (PFC). The power factor of the circuit is improved with the proposed power factor controller. Sat, 27 Feb 2010 00:00:00 +0200 A Comparison of Double Convex and Double Concave Improved Nyquist Filters http://dx.doi.org/10.4316/aece.2010.01011 http://dx.doi.org/10.4316/aece.2010.01011 N. D., ALEXANDRU, M. L., ALEXANDRU, This paper presents a comparative analysis of two families of improved Nyquist filters with a piece-wise parabolic frequency characteristic. Their construction is based on a novel approach and produces ISI-free pulses that shows comparable or better ISI performance in the presence of sampling errors, as compared with some recently proposed pulses. The coordinates of the junction points that delimit the parabolic pieces were determined in order to produce a minimal value of the error probability when the impulse response is sampled with a fixed time offset that accounts for the imperfect synchronization in the receiver. With a minor exception both families outperform the poly filter, so far considered the best one. Sat, 27 Feb 2010 00:00:00 +0200 Iron Pole Shape Optimization of IPM Motors Using an Integrated Method http://dx.doi.org/10.4316/aece.2010.01012 http://dx.doi.org/10.4316/aece.2010.01012 A., JABBARI, M., SHAKERI, A., NABAVI NIAKI, An iron pole shape optimization method to reduce cogging torque in Interior Permanent Magnet (IPM) motors is developed by using the reduced basis technique coupled by finite element and design of experiments methods. Objective function is defined as the minimum cogging torque. The experimental design of Taguchi method is used to build the approximation model and to perform optimization. This method is demonstrated on the rotor pole shape optimization of a 4-poles/24-slots IPM motor. Sat, 27 Feb 2010 00:00:00 +0200 Basic Consideration for Signal Processing Solutions Used in Sigma-delta Based ADC and DAC Converters http://dx.doi.org/10.4316/aece.2010.01013 http://dx.doi.org/10.4316/aece.2010.01013 G., ANTONESEI, C., TURCU, A., GRAUR, During the last decade there was an explosion in the field of mobile multimedia devices that led to the emergence of new and very complex requirements for the producers of integrated circuits (IC's). Practically, many of the difficulties localized in the systems made with multiple discrete IC's have moved one level down, inside the IC itself (this is how the concept of System on Chip came up). This paper presents exactly such an example in which the audio section of a mobile phone must coexist with the intermediate radio frequency section in a single IC. It starts by mentioning the technical challenges facing this request, followed by an introduction of the fundamental theories used in finding the most efficient solution. Sat, 27 Feb 2010 00:00:00 +0200 Designing of Rescue Multi Agent System Based on Soft Computing Techniques http://dx.doi.org/10.4316/aece.2010.01014 http://dx.doi.org/10.4316/aece.2010.01014 S. S., SHAMSHIRBAND, H., SHIRGAHI, S., SETAYESHI, The goal of rescuer Multi agent's project is to simulate urban unpleasant incidents and events to reduce the rate of detriment of this event. The various rescuer forces attempt to do their best duties. One of the most important problems in multi agent system is communication among agents. Most of the various algorithms in multi agent system so far has share of duties, negotiation, learning and searching need to various forms of communication among agents. In the paper we attempt to rescue the most wounded using Reinforcement learning to be able to gain the shortest time. Sat, 27 Feb 2010 00:00:00 +0200 Extending the Use of PLC Simulator Software in Student Laboratory Works http://dx.doi.org/10.4316/aece.2010.01015 http://dx.doi.org/10.4316/aece.2010.01015 C.-G., HABA, This paper presents a system that can extend the use of PLC simulator software in real world experiments. The system is composed of a software and a hardware part. The software is designed to monitor the simulator user interface, to provide user-like inputs to this interface and to exchange data with the hardware part. The hardware is used to interface the simulator running on a PC with external input and output devices. Input signals are converted into inputs for the simulated design; outputs from the simulated design are converted into output signals that control output devices connected to the hardware part. The system can work with various types of simulators and can be used in university labs to design and test digital control systems with low to moderate complexity. Sat, 27 Feb 2010 00:00:00 +0200 Cluster Classification of Partial Discharges in Oil-impregnated Paper Insulation http://dx.doi.org/10.4316/aece.2010.01016 http://dx.doi.org/10.4316/aece.2010.01016 S. D. R., SURESH, S., USA, Recognition of multiple partial discharge (PD) sources in high voltage equipment has been a challenging task until now. The work reported here, aims to recognize multiple PD sources in oil-impregnated paper using Cluster Analysis (CA) and Fuzzy Logic (FL). The typical sources of PD in transformer are identified and the corresponding single source PD defect laboratory models are fabricated. From the measured PD signals, the necessary statistical parameters are extracted by applying CA for classification. A Fuzzy based algorithm has been developed to recognize single source PDs. The developed algorithm has also been applied to recognize multiple PD sources. Sat, 27 Feb 2010 00:00:00 +0200 Elite Based Multiobjective Genetic Programming in Nonlinear Systems Identification http://dx.doi.org/10.4316/aece.2010.01017 http://dx.doi.org/10.4316/aece.2010.01017 A., PATELLI, L., FERARIU, The nonlinear systems identification method described in the paper is based on genetic programming, a robust tool, able to ensure the simultaneous selection of model structure and parameters. The assessment of potential solutions is done via a multiobjective approach, making use of both accuracy and parsimony criteria, in order to encourage the selection of accurate and compact models, characterized by expected good generalization capabilities. The evolutionary process is implemented from an elitist standpoint, and upgraded by means of two original contributions, namely an adaptive niching mechanism and an elite clustering procedure. The authors have also suggested a set of enhancements to aid the genetic operators in effectively exploring the space of possible model structures. In symbiosis with the customized genetic operators, a QR local optimization procedure was integrated within the algorithm. It exploits the nonlinear, linear in parameter form that the working models are generated in, for providing a faster parameter computation. The performances of the proposed methodology were revealed on two applications, of different complexity levels: the identification of a simulated nonlinear system and the identification of an industrial plant. Sat, 27 Feb 2010 00:00:00 +0200 Modelling of Switched Mode Fly-back Supply for Engineering Education http://dx.doi.org/10.4316/aece.2010.01018 http://dx.doi.org/10.4316/aece.2010.01018 N. D., TRIP, S., LUNGU, V., POPESCU, This paper presents a modelling method useful in the education process for the study of DC-DC power conversion principles using pulse width modulation converters. In this paper, the proposed modelling method is applied to a switched mode Fly-back supply. The model of the supply circuit includes the main parasitic elements of its component parts. To analyze the operation mode of the switched mode Fly-back supply its model is implemented with the help of MATLAB programming environment. The implementation of the model is used to simulate the behaviour of the Fly-back supply for both continuous conduction and discontinuous conduction modes, in transient and steady state conditions. The model and its implementation offer to the users an easier way to understand and analyze the operation principle of the switched mode power supplies. Moreover, the authors developed a graphic user interface dedicated to this study. The paper includes simulation and experimental results that validate the model of the supply. Sat, 27 Feb 2010 00:00:00 +0200 New Code Matched Interleaver for Turbo Codes with Short Frames http://dx.doi.org/10.4316/aece.2010.01019 http://dx.doi.org/10.4316/aece.2010.01019 G. A., LAZAR, N. R., BUZATU, E., COJOCARIU, L., TRIFINA, Turbo codes are a parallel concatenation of two or more convolutional codes, separated by interleavers, therefore their performance is not influenced just by the constituent encoders, but also by the interleaver. For short frame turbo codes, the selection of a proper interleaver becomes critical. This paper presents a new algorithm of obtaining a code matched interleaver leading to a very high minimum distance and improved performance. Sat, 27 Feb 2010 00:00:00 +0200 Path Loss Exponent Influence on Distance Estimation between Wireless Sensor Nodes http://dx.doi.org/10.4316/aece.2010.01020 http://dx.doi.org/10.4316/aece.2010.01020 G., BUTA, E., COCA, A., GRAUR, Wireless Sensor Networks (WSN) are challenging and efficient in a large field of applications like object location or distance determination between sensor nodes. In this paper are presented some considerations concerning the method of distance estimation between WSN nodes using the RF power level received by one sensor node. The experimental determinations were made using a WSN system composed of ten wireless modules (one coordinator module and nine WSN nodes). The RF power level received by a sensor node was measured at variable distances, and the dBm values recorded were then used in the distance determination formula. The tests were made in a 3 meters semi-anechoic chamber - in order the results not to be affected by other radio frequency emissions from the surrounding environment - using a 20 Hz - 26.5 GHz EMI Test Receiver, a log-periodic antenna and RF cables. Sat, 27 Feb 2010 00:00:00 +0200 Indirect Vector Control of an Induction Motor with Fuzzy-Logic based Speed Controller http://dx.doi.org/10.4316/aece.2010.01021 http://dx.doi.org/10.4316/aece.2010.01021 I., BIROU, V., MAIER, S., PAVEL, C., RUSU, The aim of this paper is to present a new speed control structure for induction motors (IM) by using fuzzy-logic based speed controllers. A fuzzy controller is designed to achieve fast dynamic response and robustness for low and high speeds. Different types of membership functions of the linguistic variables and output/input characteristics are analyzed. A simple but robust structure enables a wide range speed control of the driving system. The rotor flux field oriented control (FOC) is realized by using a flux observer based on the IM model with nonlinear parameters. The control is extended to operate also in the field weakening region with an optimal rotor flux regulation. The control structure was implemented on a computer system, based on a fixed point digital signal processor (DSP). To verify the performances of the proposed driving system, simulated and experimental results are presented. Sat, 27 Feb 2010 00:00:00 +0200 Scalar Control for Six Phase Matrix Converter Fed Double Star Induction Motor http://dx.doi.org/10.4316/aece.2010.01022 http://dx.doi.org/10.4316/aece.2010.01022 G., BACHIR, A., BENDIABDELLAH, Two different control strategies applied to a direct AC-AC six phase matrix converter are investigated in the present paper. The first strategy is derived from the Venturini method and the second approach is practically an extension of the scalar strategy control. Both strategies were originally applied to the three phase matrix converter. The current investigation deals with a comparative performance study of a double star induction motor fed from a six-phase matrix converter using the two above modified control strategies. After a theoretical introduction of the six-phase matrix converter, a detailed description of the strategies implementation is presented followed by a discussion of results obtained simulation results. Sat, 27 Feb 2010 00:00:00 +0200 Corrections to "GEOBARN: A Practical Grid Geospatial Database System" http://dx.doi.org/10.4316/aece.2010.01023 http://dx.doi.org/10.4316/aece.2010.01023 Z., HUANG, Y., FANG, X., XIE, M., PAN, No abstract available. Sat, 27 Feb 2010 00:00:00 +0200 Power-Electronics Issues of Modern Electric Railway Systems http://dx.doi.org/10.4316/aece.2010.02001 http://dx.doi.org/10.4316/aece.2010.02001 A., STEIMEL, After de-regulation of the former state-owned railways and severe restructuring of the railway industry in the last 15 years, more innovative vehicle concepts saw the light of the day. Power electronics, already formerly being a pacemaker for progress of traction vehicles, brought forth an utmost standardization of the main drive by means of the IGBT-converter-fed induction motor drive. This is independent of the railway supply voltage system or of a diesel prime mover, for locomotives, high-speed and mass-transit trains as well as for tramways. Vehicles able to operate on all four European railway voltage systems have become feasible and are used now widely. New trends as Permanent-Magnet Synchronous Motors or Medium-Frequency Transformers are discussed, and a short overlook over actual field-oriented high-performance motor control systems - including a speed-sensorless variant - is given. Power electronics dominates the field of conversion of the 16.7-Hz railway supply power, typical for Central Europe, from the 50-Hz three-phase utility grid. Mon, 31 May 2010 00:00:00 +0300 Dynamic Analysis of Permanent Magnet Synchronous Generator with Power Electronics http://dx.doi.org/10.4316/aece.2010.02002 http://dx.doi.org/10.4316/aece.2010.02002 Y., ONER, N., BEKIROGLU, S., OZCIRA, Permanent magnet DC motor-generators (PMDC, PMSG) have been widely used in industrial and energy sectors recently. Power control of these systems can be achieved by controlling the output voltage. In this study, PMDC-PMSG systems are mathematically modeled and simulated in MATLAB and Simulink software. Then the results are discussed. A low power permanent magnet synchronous generator is driven by a permanent magnet DC motor and the output voltage is controlled by a frequency cycle-converter. The output of a half-wave uncontrolled rectifier is applied to an SPWM inverter and the power is supplied to a 300V, 50Hz load. The load which is connected to an LC filter is modeled by state-space equations. LC filter is utilized in order to suppress the voltage oscillations at the inverter output. Mon, 31 May 2010 00:00:00 +0300 New Techniques for Implementation of Hardware Algorithms inside FPGA Circuits http://dx.doi.org/10.4316/aece.2010.02003 http://dx.doi.org/10.4316/aece.2010.02003 A. D., IOAN, This work presents a less known theoretical method for the synthesis of complex hardware automata by using the transition matrix, together with a new practical method for visual implementation inside FPGA circuits, with library schematic symbols from the Altium Designer software environment. Because these techniques need to be presented by example, the classical shift and add unsigned multiply algorithm was chosen for review. Obviously, this is not the most efficient algorithm, but it serves the declared purpose and it can still be used in a real system when the hardware must be minimal. Furthermore, an essential correction to the optimal version of this algorithm was made. The techniques are exemplified by doing an original implementation: starting from the initial organigram, passing through transition matrix synthesis stage and reaching to the final fully functional system on a Digilent Spartan-3 FPGA development board, which includes the user interface too. Mon, 31 May 2010 00:00:00 +0300 Development of Reliability Model for Wind Farm Power Generation http://dx.doi.org/10.4316/aece.2010.02004 http://dx.doi.org/10.4316/aece.2010.02004 C., NEMES, F., MUNTEANU, The objective of the present paper is to estimate the electric power distribution of a wind farm using the output power distribution and the probability of simultaneously running of wind turbines. In this paper, a methodology for the electric power distribution of a wind turbine, using the characteristic output power-wind and the Weibull distribution of wind speed was given first. The methodology was applied to a region from north-east of Romania, and finally, the analytic distributions were compared to Monte-Carlo simulation. Mon, 31 May 2010 00:00:00 +0300 Kalman Filter Based Tracking in an Video Surveillance System http://dx.doi.org/10.4316/aece.2010.02005 http://dx.doi.org/10.4316/aece.2010.02005 C., SULIMAN, C., CRUCERU, F., MOLDOVEANU, In this paper we have developed a Matlab/Simulink based model for monitoring a contact in a video surveillance sequence. For the segmentation process and corect identification of a contact in a surveillance video, we have used the Horn-Schunk optical flow algorithm. The position and the behavior of the correctly detected contact were monitored with the help of the traditional Kalman filter. After that we have compared the results obtained from the optical flow method with the ones obtained from the Kalman filter, and we show the correct functionality of the Kalman filter based tracking. The tests were performed using video data taken with the help of a fix camera. The tested algorithm has shown promising results. Mon, 31 May 2010 00:00:00 +0300 Static Simulation of a Linear Switched Reluctance Actuator with the Flux Tube Method http://dx.doi.org/10.4316/aece.2010.02006 http://dx.doi.org/10.4316/aece.2010.02006 A. E., SANTO, M. R., CALADO, C., CABRITA, The linear counterpart of the rotational switched reluctance drive is receiving increasing attention from academic and industrial societies. The special characteristics of this driving technology, that normally works in a highly magnetic saturation regimen, make the development of efficient design methodologies more difficult. This paper proposes a new numerical model of a Linear Switched Reluctance Actuator based on the flux tube method. For validation purposes, simulation results obtained from the application of presented model are compared with the ones obtained from the application of a commercial finite element tool. The modulation technique proposed here makes possible, with minimal computational effort, the evaluation of the impact in actuator behaviour caused by the changes on the magnetic circuit geometries. Mon, 31 May 2010 00:00:00 +0300 About the Coupling Factor Influence on the Ground Fault Current Distribution on Overhead Transmission Lines http://dx.doi.org/10.4316/aece.2010.02007 http://dx.doi.org/10.4316/aece.2010.02007 M., VINTAN, A phase-to-ground fault occurring on a transmission line divides the line into two sections, each extending from the fault towards one end of the line. These two sections of the line may be considered infinite if some certain conditions are met; otherwise, they must be regarded as finite. This paper treats the case when those two sections of the line are both very long and allows the determination of the ground fault current distribution in power networks. The influence of the coupling factor between the faulted phase and the ground wire on the ground fault current distribution is studied. Mon, 31 May 2010 00:00:00 +0300 Translation of the Speech Therapy Programs in the Logomon Assisted Therapy System http://dx.doi.org/10.4316/aece.2010.02008 http://dx.doi.org/10.4316/aece.2010.02008 S. G., PENTIUC, I., TOBOLCEA, O. A., SCHIPOR, M., DANUBIANU, D. M., SCHIPOR, This interdisciplinary research was developed with a view to create and implement an intelligent informatics system for the treatment of dyslalic disorders, specific to the Romanian language (CBTS system - computer-based speech therapy), as a complementary speech therapy method, customised and client-oriented. The rules of the logotherapeutic guide have been expressed in pseudocode programs in order to allow a greater flexibility in expressing the logotherapeutic procedures in an informatics system. The pseudocode logopedic programs comprise the succession of stages of the therapeutic program from a speech therapy perspective, and based on what the expert system can achieve. The LOGOMON system is conceived in order to assist the physical therapist and the child during the entire therapeutic period, recording the main data related to the child, which proved to be useful in diagnosis and treatment. The experimental validation of the system proved that assisted therapy contributes to the improvement of classical therapy, to obtaining optimal results in correcting the dyslalic person's speech. Mon, 31 May 2010 00:00:00 +0300 Conceptual Implementation of Sample Rate Convertors for DACs http://dx.doi.org/10.4316/aece.2010.02009 http://dx.doi.org/10.4316/aece.2010.02009 G., ANTONESEI, C., TURCU, A., GRAUR, One of most common and difficult challenge when creating a single SoC with digital (sub)sections is caused by the various master clock (MCLK) frequencies that each individual IC had originally. There are several methods to solve this, but when constraint by price and power consumption, the design engineers must find the optimum one. The sample rate converters (SRC) are an example of solution that can simplify the architecture in some of these cases. However, even for the SRCs themselves, we need to come up with novel and efficient architectures. This paper presents such an example from mobile phones chips on how to successfully mix on the same silicon, an audio sigma-delta DAC which should support all the standard audio rates using a 13MHz MCLK frequency imposed by the RF section incorporated inside the same chip. The document will go from showing the top-level digital signal processing down to the actual hardware implementation. Mon, 31 May 2010 00:00:00 +0300 Strategies for Power/Energy Saving in Distribution Networks http://dx.doi.org/10.4316/aece.2010.02010 http://dx.doi.org/10.4316/aece.2010.02010 G., GRIGORAS, G., CARTINA, E. C., BOBRIC, The power/energy losses reduction in distribution systems is an important issue during planning and operation, with important technical and economical implications. Thus, the energy losses minimization implies not only the technical improvement of the network, through its renewal with the introduction of the technological innovations in the equipment and circuit components as well as the optimal planning of the design and development of the network, but also requires the use of the methods and software tools to facilitate the operation process. The paper presents a strategy for power/energy saving which replacement of the 6 kV voltage level with 20 kV voltage level in correlation with the extent of using efficient transformers. In this line, different urban distribution networks were analyzed using fuzzy techniques. Mon, 31 May 2010 00:00:00 +0300 Time of Arrival Based on Chirp Pulses as a means to Perform Localization in IEEE 802.15.4a Wireless Sensor Networks http://dx.doi.org/10.4316/aece.2010.02011 http://dx.doi.org/10.4316/aece.2010.02011 A., Van NIEUWENHUYSE, J., WYFFELS, J.-P., GOEMAERE, L., De STRYCKER, B., NAUWELAERS, This paper introduces the technology Time of Arrival (TOA) based on chirp pulses (according to IEEE 802.15.4a) as a means to perform localization in Wireless Sensor Networks (WSN's) active at 2.4 GHz. Advantages and disadvantages of the technology are discussed and act as a guideline for improving localization accuracy. Tests concerning TOA are performed by means of the location engine of Nanotron. Adapting this engine leads to improved localization results. It is shown that TOA measurements are susceptible to reflections and dynamic environments. Mon, 31 May 2010 00:00:00 +0300 Induction Machine with Improved Operating Performances for Electric Trucks. A FEM-Based Analysis http://dx.doi.org/10.4316/aece.2010.02012 http://dx.doi.org/10.4316/aece.2010.02012 A., SIMION, L., LIVADARU, S., MIHAI, A., MUNTEANU, C. G., CANTEMIR, The paper presents a study concerning the performance developed by induction motors destined for motorization of heavy electric vehicles such as trucks. Taking into consideration the imposed restrictions, one presents, in a comparative manner, the main geometrical parameters which come of the classical design algorithms. A special attention is dedicated to the winding design, since it has to ensure two synchronous speeds corresponding to 16 and 8 poles, respectively. Moreover, the influence of the rotor slots shape for the improvement of the start-up is analyzed. Finally, a FEM-based study (approach based on finite element method) is performed to put in view specific torque and slip values such as rated, start-up and pull-out ones. Mon, 31 May 2010 00:00:00 +0300 Genetic Algorithm based Servo System Parameter Estimation during Transients http://dx.doi.org/10.4316/aece.2010.02013 http://dx.doi.org/10.4316/aece.2010.02013 A., REZAZADEH, The application of Genetic Optimization Algorithm in estimation of the parameters of servo electrical drives is proposed. In comparison with this planned method, least squared error (LSE) estimation method is considered as an expedient method for parameter estimation. Regardless of LSE estimation, Genetic Algorithm method is not restricted to the linear systems with respect to the parameters. GA is imported as an optimization method in comparison with conventional optimization methods because of its power in searching whole solution space with more probability to finding the global optimum. As a condition for convergence, transient excitation is considered instead of persistent excitation. Finally, comparison between LSE and GA based parameter estimation is presented to indicate robustness and resolution of GA identification method. It will be shown that the GA method of estimation has better results in the startup and transients of the system where there is a lack of persistent excitation. Mon, 31 May 2010 00:00:00 +0300 Cache Pattern with Multi-Queries http://dx.doi.org/10.4316/aece.2010.02014 http://dx.doi.org/10.4316/aece.2010.02014 N. L., TUDOR, This article proposes a cache pattern with multi-queries and describes the multi-query optimization with scheduling, caching and pipelining. A set of cache patterns is derived from a set of class of multi-queries that are loaded into the cache. Each cache pattern represents a unique equivalence class in the set of patterns. The multi-query optimization with scheduling, caching and pipelining provides efficient heuristics, for a good queries ordering using a single invocation on the entire batch of queries. Multi-query optimization chooses the results of sub-expression that should be admitted to or discarded from cache, when it executes queries. We introduce the heuristic of pair queries and define the equivalence class of multi-queries from cache pattern. We show that the union of all equivalence classes of queries from the cache patterns is the set of cache patterns. Mon, 31 May 2010 00:00:00 +0300 Cellular Genetic Algorithm with Communicating Grids for Assembly Line Balancing Problems http://dx.doi.org/10.4316/aece.2010.02015 http://dx.doi.org/10.4316/aece.2010.02015 O., BRUDARU, D., POPOVICI, C., COPACEANU, This paper presents a new approach with cellular multigrid genetic algorithms for the I-shaped and U-shaped assembly line balancing problems, including parallel workstations and compatibility constraints. First, a cellular hybrid genetic algorithm that uses a single grid is described. Appropriate operators for mutation, hypermutation, and crossover and two devoration techniques are proposed for creating and maintaining groups based on similarity. This monogrid algorithm is extended for handling many populations placed on different grids. In the multigrid version, the population of each grid is organized in clusters using the positional information of the chromosomes. A similarity preserving communication protocol between the clusters placed on different grids is introduced. The experimental evaluation shows that the multigrid cellular genetic algorithm with communicating grids is better than the hybrid genetic algorithm used for building it, whereas it dominates the monogrid version in all cases. Absolute performance is evaluated using classical benchmarks. The role of certain components of the cellular algorithm is explained and the effect of some parameters is evaluated. Mon, 31 May 2010 00:00:00 +0300 Hysteresis Modelling of Soft Magnetic Materials using LabVIEW Programs http://dx.doi.org/10.4316/aece.2010.02016 http://dx.doi.org/10.4316/aece.2010.02016 S., MOTOASCA, G., SCUTARU, The paper deals with an analytical model for hysteresis cycle representation. The hysteresis curve is decomposed in a series of arcs of circles and segments of lines. Each arc of circle or segment of line is expressed using analytical geometry as a function of some given parameters or calculated ones. The easiness of the model proposed is given by the small amount of input data needed to represent the hysteresis cycle in a satisfactory way. Using an inverse mapping function from major hysteresis branches the minor cycles, reversal curve of the first kind or curve of first magnetization can be obtained. Finally a comparison between the measured data and modelled ones was made. Mon, 31 May 2010 00:00:00 +0300 HL7 Messaging Engine with Customizable Translation System http://dx.doi.org/10.4316/aece.2010.02017 http://dx.doi.org/10.4316/aece.2010.02017 M., CERLINCA, C., TURCU, T., CERLINCA, R., PRODAN, This paper introduces a new client-server messaging engine used to exchange clinical data between various medical software applications. Our portal uses the HL7 (Health Level Seven) messaging standard to provide translated clinical data to HL7 and non-HL7 client applications. We used HL7 because this standard is worldwide used to facilitate the communication between clinical applications. Mon, 31 May 2010 00:00:00 +0300 Hybrid Electric Vehicle Experimental Model with CAN Network Real Time Control http://dx.doi.org/10.4316/aece.2010.02018 http://dx.doi.org/10.4316/aece.2010.02018 G., LIVINT, V., HORGA, D., STICEA, M., RATOI, M., ALBU, In this paper an experimental model with a distributed control system of a hybrid electrical vehicle is presented. A communication CAN network of high speed (1 Mbps) assures a distributed control of the all components. The modeling and the control of different operating regimes are realized on an experimental test-bench of a hybrid electrical vehicle. The experimental results concerning the variations of the mains variables (currents, torques, speeds) are presented. Mon, 31 May 2010 00:00:00 +0300 Simulation of LTE Signaling http://dx.doi.org/10.4316/aece.2010.02019 http://dx.doi.org/10.4316/aece.2010.02019 F., SANDU, S., CSEREY, E., MILE-CIOBANU, This article aims to present a simulation and emulation software that was developed to simulate the call flows of a LTE (Long Term Evolution) network. LTE is the latest Mobile Telecommunications technology being currently in development and testing phase. The simulator can be used as an e-Learning software, for teaching the procedures and phases of different LTE scenarios. Call flows can be visualized trough the simulation panel, where signaling messages can be run continuously or step-by-step, for the purpose of detailed analysis. The simulator has the capability to generate real signaling packets, that are being sent to a virtual loopback adapter and captured / dissected using the Wireshark software. In this way a whole simulation environment is created that is very useful for teaching the latest mobile telecommunications technology, the LTE (Long Term Evolution) system. Mon, 31 May 2010 00:00:00 +0300 Argumentative Support for Structured HACCP Plans http://dx.doi.org/10.4316/aece.2010.02020 http://dx.doi.org/10.4316/aece.2010.02020 I. A., LETIA, A., GROZA, This research presents an argumentation based decision support system for implementing the Hazard Analysis at Critical Control Points (HACCP) standard in food industry. Our analysis starts by identifying the adequate technical instrumentation needed for supporting different aspects of the HAACP system. An integrated architectural solution is presented. The framework is built around concept maps and it exploits the integration of ontologies with argumentation theory by using the Argument Interchange Format ontology. Mon, 31 May 2010 00:00:00 +0300 Middleware Based Model of Heterogeneous Systems for SCADA Distributed Applications http://dx.doi.org/10.4316/aece.2010.02021 http://dx.doi.org/10.4316/aece.2010.02021 N. C., GAITAN, V. G., GAITAN, S. G., PENTIUC, I., UNGUREAN, E., DODIU, Infrastructure underlying the distributed information systems is heterogeneous and very complex. Middleware allows the development of distributed information systems, without knowing the functioning details of an infrastructure, by its abstracting. An essential issue on designing such systems is represented by choosing the middleware technologies. An architectural model of a SCADA system based on middleware is proposed in this paper. This system is formed of servers that centralize data and clients, which receive information from a server, thus allowing the chart displaying of such information. All these components own a specific functionality and can exchange information, by means of a middleware bus. A middleware bus signifies a software bus, where more middleware technologies can coexist. Mon, 31 May 2010 00:00:00 +0300 New High Performance Deterministic Interleavers for Turbo Codes http://dx.doi.org/10.4316/aece.2010.02022 http://dx.doi.org/10.4316/aece.2010.02022 G. A., LAZAR, N. R., BUZATU, E., COJOCARIU, L., TRIFINA, R., VIERU, Turbo codes offer extraordinary performance, especially at low signal to noise ratios, due to a low multiplicity of low weight code words. The interleaver design is critical in order to realize an apparent randomness of the code, thus further enhancing its performance, especially for short block frames. This paper presents four new deterministic interleaver design methods, that lead to highly performing turbo coding systems, namely the block-spread, the block-backtracking and their variations the linearly-spread and linearly-backtracking interleavers. The design methods are explained in depth and the results are compared against some of the most wide-spread turbo code interleavers. Furthermore, the selection method of the generator polynomials used in the simulations is explained. Mon, 31 May 2010 00:00:00 +0300 Audio Source Localization using a Network of Embedded Devices http://dx.doi.org/10.4316/aece.2010.02023 http://dx.doi.org/10.4316/aece.2010.02023 L., FRANGU, M., MAZAREL, C., CHICULITA, In this paper, a problem of audio source localization is solved, using a network of embedded devices. The intensive computing procedures (such as the crosscorrelation functions) are performed by the embedded devices, which have enough speed and memory for this task. A central computer computes the position in a fast procedure, using the data transmitted by the network nodes, and plays the role of operator interface. The paper also contains the description of the embedded devices, which are designed and manufactured by the authors. They prove to be suited for this kind of application, as they perform fast computation and require low power and small space for installing. Mon, 31 May 2010 00:00:00 +0300 Assessment of Distributed Generation Source Impact on Electrical Distribution System Performance http://dx.doi.org/10.4316/aece.2010.02024 http://dx.doi.org/10.4316/aece.2010.02024 S., MANJUNATHA, K. V., PANDURANGA, The recent trends in electrical power distribution system operation and management are aimed at improving system conditions in order to render good service to the customer. The reforms in distribution sector have given major scope for employment of distributed generation (DG) resources which will boost the system performance. This paper proposes a heuristic technique for allocation of distribution generation source in a distribution system. The allocation is determined based on overall improvement in network performance parameters like reduction in system losses, improvement in voltage stability, improvement in voltage profile. The proposed Network Performance Enhancement Index (NPEI) along with the heuristic rules facilitate determination of feasible location and corresponding capacity of DG source. A Priority list is prepared with decreasing values of NPEI so that the designer can select most feasible location. The developed approach is tested with different test systems to ascertain its effectiveness. Mon, 31 May 2010 00:00:00 +0300 Modeling and Simulation of a 12 MW Wind Farm http://dx.doi.org/10.4316/aece.2010.02025 http://dx.doi.org/10.4316/aece.2010.02025 L., MIHET-POPA, V., GROZA, The installation of wind turbines in power systems has developed rapidly through the last 20 years. In this paper a complete simulation model of a 6 x 2 MW wind turbines is presented using data from a wind farm installed in Denmark. A model of the wind turbine with cage-rotor induction generator is presented in details. A set of simulations are performed and they show that it is possible to simulate a complete wind farm from wind to the grid. The simulation tool can also be used to simulate bigger wind farms connected to the grid. Mon, 31 May 2010 00:00:00 +0300 Walking Robots Dynamic Control Systems on an Uneven Terrain http://dx.doi.org/10.4316/aece.2010.02026 http://dx.doi.org/10.4316/aece.2010.02026 L., VLADAREANU, G., TONT, I., ION, M. S., MUNTEANU, D., MITROI, The paper presents ZPM dynamic control of walking robots, developing an open architecture real time control multiprocessor system, in view of obtaining new capabilities for walking robots. The complexity of the movement mechanism of a walking robot was taken into account, being a repetitive tilting process with numerous instable movements and which can lead to its turnover on an uneven terrain. The control system architecture for the dynamic robot walking is presented in correlation with the control strategy which contains three main real time control loops: balance robot control using sensorial feedback, walking diagram control with periodic changes depending on the sensorial information during each walk cycle, predictable movement control based on a quick decision from the previous experimental data. The results obtained through simulation and experiments show an increase in mobility, stability in real conditions and obtaining of high performances related to the possibility of moving walking robots on terrains with a configuration as close as possible to real situations, respectively developing new technological capabilities of the walking robot control systems for slope movement and walking by overtaking or going around obstacles. Mon, 31 May 2010 00:00:00 +0300 A modified Adaptive Wavelet PID Control Based on Reinforcement Learning for Wind Energy Conversion System Control http://dx.doi.org/10.4316/aece.2010.02027 http://dx.doi.org/10.4316/aece.2010.02027 M., SEDIGHIZADEH, A., REZAZADEH, Nonlinear characteristics of wind turbines and electric generators necessitate complicated and nonlinear control of grid connected Wind Energy Conversion Systems (WECS). This paper proposes a modified self-tuning PID control strategy, using reinforcement learning for WECS control. The controller employs Actor-Critic learning in order to tune PID parameters adaptively. These Actor-Critic learning is a special kind of reinforcement learning that uses a single wavelet neural network to approximate the policy function of the Actor and the value function of the Critic simultaneously. These controllers are used to control a typical WECS in noiseless and noisy condition and results are compared with an adaptive Radial Basis Function (RBF) PID control based on reinforcement learning and conventional PID control. Practical emulated results prove the capability and the robustness of the suggested controller versus the other PID controllers to control of the WECS. The ability of presented controller is tested by experimental setup. Mon, 31 May 2010 00:00:00 +0300 An Effective Framework for Distributed Geospatial Query Processing in Grids http://dx.doi.org/10.4316/aece.2010.03001 http://dx.doi.org/10.4316/aece.2010.03001 Z., HUANG, Y., FANG, B., CHEN, M., PAN, The emergence of Internet has greatly revolutionized the way that geospatial information is collected, managed, processed and integrated. There are several important research issues to be addressed for distributed geospatial applications. First, the performance of geospatial applications is needed to be considered in the Internet environment. In this regard, the Grid as an effective distributed computing paradigm is a good choice. The Grid uses a series of middleware to interconnect and merge various distributed resources into a super-computer with capability of high performance computation. Secondly, it is necessary to ensure the secure use of independent geospatial applications in the Internet environment. The Grid just provides the utility of secure access to distributed geospatial resources. Additionally, it makes good sense to overcome the heterogeneity between individual geospatial information systems in Internet. The Open Geospatial Consortium (OGC) proposes a number of generalized geospatial standards e.g. OGC Web Services (OWS) to achieve interoperable access to geospatial applications. The OWS solution is feasible and widely adopted by both the academic community and the industry community. Therefore, we propose an integrated framework by incorporating OWS standards into Grids. Upon the framework distributed geospatial queries can be performed in an interoperable, high-performance and secure Grid environment. Tue, 31 Aug 2010 00:00:00 +0300 Heading Control System for a Multi-body Vehicle with a Virtual Test Driver http://dx.doi.org/10.4316/aece.2010.03002 http://dx.doi.org/10.4316/aece.2010.03002 S., POSTALCIOGLU OZGEN, This paper includes a Heading Control (HC) system for a multi-body vehicle. HC system helps reducing the required torque from the driver and improves the lane keeping efficiency. HC system is important for safety and driver comfort in traffic. The controller performance is examined on a virtual test drive platform. The optimal control theory is applied to HC system and examined on a curved path and under a side wind disturbance. Different assistance levels are applied to see the characteristics of the controller with different virtual test drivers. The results are analyzed based on three performance indices; lane keeping performance (LKP) index, assist torque performance (ATP) index and driver torque performance (DTP) index. As seen from the results while using HC system the lateral displacement decreases as the lane keeping performance increases and the driver torque performance decreases as the assist torque performance increases. Tue, 31 Aug 2010 00:00:00 +0300 A New Protection Scheme for High Impedance Fault Detection using Wavelet Packet Transform http://dx.doi.org/10.4316/aece.2010.03003 http://dx.doi.org/10.4316/aece.2010.03003 N., GHAFFARZADEH, B., VAHIDI, This paper proposed a novel technique to effectively discriminate between the HIF and the normal system operation events in distribution by combining a preprocessing module based on wavelet packet transform with an artificial neural network(ANN). Wavelet packet is firstly applied to extract of distinctive feature of current signals. Then this information is introduced to training ANN for identifying an HIF from the normal system operation events. The simulated results clearly show that the proposed technique can accurately identify the HIF in overhead distribution feeder. Tue, 31 Aug 2010 00:00:00 +0300 Indoor Inter-Robot Distance Measurement in Collaborative Systems http://dx.doi.org/10.4316/aece.2010.03004 http://dx.doi.org/10.4316/aece.2010.03004 M. V., MICEA, A., STANCOVICI, D., CHICIUDEAN, C., FILOTE, This paper focuses on the problem of autonomous distance calculation between multiple mobile robots in collaborative systems. We propose and discuss two distinct methods, specifically developed under important design and functional constraints, such as the speed of operation, accuracy, energy and cost efficiency. Moreover, the methods are designed to be applied to indoor robotic systems and are independent of fixed landmarks. The measurement results, performed on the CORE-TX case study, show that the proposed solutions meet the design requirements previously specified. Tue, 31 Aug 2010 00:00:00 +0300 Experimental Study and Comparative Analysis of Transients of Induction Motor with Soft Starter Startup http://dx.doi.org/10.4316/aece.2010.03005 http://dx.doi.org/10.4316/aece.2010.03005 S. I., DEACONU, M., TOPOR, G. N., POPA, D., BISTRIAN, This paper investigates the influence of the parameters of the machine and of the soft starter on the dynamics of the induction machine start. In order to evaluate the effects of this variation we have used a design of experiments (DOE). The situations may reproduce actual situations occurred in practice, for example the variation of initial voltage Ui , modification of the start time and load value. In the present paper we have investigated the relation between the inrush current, voltage dip at the startup of one industrial soft starter. Using an already predefined fire angle characteristic the influence of the initial voltage was also evaluated. Tue, 31 Aug 2010 00:00:00 +0300 A New MLP Approach for the Detection of the Incipient Bearing Damage http://dx.doi.org/10.4316/aece.2010.03006 http://dx.doi.org/10.4316/aece.2010.03006 T., SENGULER, E., KARATOPRAK, S., SEKER, In this study, it is aimed to track the aging trend of the incipient bearing damage in an induction motor which is subjected to an accelerated aging process. For this purpose, a new Multilayer perceptron (MLP) neural network approach is introduced. The input signals are extracted from power spectral densities (PSD) of the vibration signals taken from a 5-HP induction motor. Principal component analysis (PCA) has been applied to select the best possible feature vectors as a dimensionality reduction purpose. Variance and entropy values are used as the targets of the MLP network. The healthy motor condition was modelled by the MLP network considering all load conditions. The results showed that the incipient bearing damage was clearly extracted by the oscillations of the MLP output error. Tue, 31 Aug 2010 00:00:00 +0300 Photovoltaic System with Smart Tracking of the Optimal Working Point http://dx.doi.org/10.4316/aece.2010.03007 http://dx.doi.org/10.4316/aece.2010.03007 D., PETREUS, D., MOGA, A., RUSU, T., PATARAU, M., MUNTEANU, A photovoltaic (PV) system, based on a Maximum Power Point Tracking (MPPT) controller that extracts the maximum possible output power from the solar panel is described. Output efficiency of a PV energy system can be achieved only if the system working point is brought near the maximum power point (MPP). The proposed system, making use of several MPPT control algorithms (Perturb and Observe, Incremental conductance, Fuzzy Logic), demonstrates in simulations as well as in real experiments good tracking of the optimal working point. Tue, 31 Aug 2010 00:00:00 +0300 Detailed Simulation of Transformer Internal Fault in Power System by Diakoptical Concept http://dx.doi.org/10.4316/aece.2010.03008 http://dx.doi.org/10.4316/aece.2010.03008 A., KOOCHAKI, S. M., KOUHSARI, This paper presents a novel method for modeling internal faults in a power transformer. This method uses a distributed computing approach for analysis of internal fault in transient stability (T/S) studies of electrical networks using Diakoptics and large change sensitivity (LCS) concepts. The combination of these concepts by phase frame model of transformer will be used here to develop an internal fault simulation of transformers. This approach leads to a model which is compatible with commercial phasor-based software packages. Consequently, it enables calculation of fault currents in any branch of the network due to a winding fault of a power transformer. The proposed method is implemented successfully and validated by time domain software and GEC group measurement results. Tue, 31 Aug 2010 00:00:00 +0300 LCL Interface Filter Design for Shunt Active Power Filters http://dx.doi.org/10.4316/aece.2010.03009 http://dx.doi.org/10.4316/aece.2010.03009 A., BITOLEANU, M., POPESCU, D., MARIN, M., DOBRICEANU, This paper is focused on finding the parameters of a second order interface filter connected between the power system and the shunt active filter based on switching frequency of the active filter. Many publications on power active filters include various design methods for the interface inductive filter which take into account the injected current and its dynamic. Compared to these ones, the approach presented in this paper is oriented toward the design of the interface filter starting from filter transfer functions by imposing the performances of the filter. Tue, 31 Aug 2010 00:00:00 +0300 Control Strategy for Three Phase Voltage Source PWM Rectifier Based on the Space Vector Modulation http://dx.doi.org/10.4316/aece.2010.03010 http://dx.doi.org/10.4316/aece.2010.03010 K., HARTANI, Y., MILOUD, This paper proposes the space vector pulse width modulation (SVPWM) control scheme for three-phase voltage source PWM rectifier. The control system based on SVPWM includes two PI controllers which are used to regulate the AC currents and DC-link voltage. The proposed control can stabilize the minimum of the systems storage function at the desired equilibrium point determined by unity power factor and sinusoidal current on the AC side, and constant output voltage on the DC side. So the stable state performance and robustness against the load's disturbance of PWM rectifiers are both improved. The simulation result shows feasibility of this strategy. Tue, 31 Aug 2010 00:00:00 +0300 Static Frequency Converter with RNSIC Converter and Double Branch Inverter for Supplying Three-Phase Asynchronous Motors http://dx.doi.org/10.4316/aece.2010.03011 http://dx.doi.org/10.4316/aece.2010.03011 N. R., BUZATU, A., LAZAR, D., ALEXA, G. A., LAZAR, M., MOISA, The paper presents the design and analysis of a three-phase static converter, composed of a Rectifier with Near Sinusoidal Input Currents (RNSIC), which ensures the DC bus voltage level for a three phase Incomplete Bridge Inverter (IBI), used to drive an asynchronous motor. The proposed circuit has a low input current harmonic content, can ensure the load overcurrent protection and has a better reliability. The converter can be designed to provide any required output maximum power under a desired DC link bus voltage. Tue, 31 Aug 2010 00:00:00 +0300 Effect of Circuit Breaker Shunt Resistance on Chaotic Ferroresonance in Voltage Transformer http://dx.doi.org/10.4316/aece.2010.03012 http://dx.doi.org/10.4316/aece.2010.03012 H., RADMANESH, M., ROSTAMI, Ferroresonance or nonlinear resonance is a complex electrical phenomenon, which may cause over voltages and over currents in the electrical power system which endangers the system reliability and continuous safe operating. This paper studies the effect of circuit breaker shunt resistance on the control of chaotic ferroresonance in a voltage transformer. It is expected that this resistance generally can cause ferroresonance dropout. For confirmation this aspect Simulation has been done on a one phase voltage transformer rated 100VA, 275kV. The magnetization characteristic of the transformer is modeled by a single-value two-term polynomial with q=7. The simulation results reveal that considering the shunt resistance on the circuit breaker, exhibits a great mitigating effect on ferroresonance over voltages. Significant effect on the onset of chaos, the range of parameter values that may lead to chaos along with ferroresonance voltages has been obtained and presented. Tue, 31 Aug 2010 00:00:00 +0300 Observerless Scheme for Sensorless Speed Control of PMSM Using Direct Torque Control Method With LP Filter http://dx.doi.org/10.4316/aece.2010.03013 http://dx.doi.org/10.4316/aece.2010.03013 N., BEKIROGLU, S., OZCIRA, In this study, direct torque control (DTC) of a permanent magnet synchronous motor is realized with a sensorless speed control technique without using an observer. Space vector pulse width modulation (SVPWM) technique is applied in order to determine the switching sequence of the voltage source inverter. Torque and flux, the main variables of the DTC, are estimated by using the mathematical model of the motor. Estimated torque and flux values are compared with their references in every control cycle. Then, according to the torque and flux demand, the voltage vector is constituted. In the proposed control scheme, speed is estimated by using flux calculations and a PI controller is used to process the torque and flux errors. Furthermore, a low-pass (LP) filter is implemented within the proposed system for voltage and current harmonics suppression. The results proved that proposed scheme for the DTC provides the speed control under various torque demands without employing a sensor. The proposed system performs very well for a sensorless operation and effectively eliminates the harmonics due to the LP filter. Tue, 31 Aug 2010 00:00:00 +0300 Adaptive Power Control with Overhearing Avoidance for Wireless Sensor Networks http://dx.doi.org/10.4316/aece.2010.03014 http://dx.doi.org/10.4316/aece.2010.03014 M., RAMAKRISHNAN, V. P., RANJAN, In this paper, Adaptive Power Control with Overhearing Avoidance (APC+OA) has been proposed. The proposed power control algorithm has been implemented in PICSENSE wireless sensor nodes. The energy consumption of proposed MAC has been compared with that of On Demand Transmission Power Control (ODTPC) protocol and it is shown that the Adaptive Power Control with Overhearing Avoidance gives higher energy conservation compared to ODTPC. The power level convergence towards the optimal power for APC-OA is two times faster than the ODTPC. Tue, 31 Aug 2010 00:00:00 +0300 Measurement Settings Influence upon Energy Detection of TETRA Signals http://dx.doi.org/10.4316/aece.2010.03015 http://dx.doi.org/10.4316/aece.2010.03015 R., MITRAN, P., BECHET, The present paper aims to determine the optimum parameters for the detection of downlink TETRA signals, through energy measurement. In order to optimize the detection parameters we have assessed the probabilities of detection and of false alarm, based on the estimated power distributions, measured by the Parzen method. The TETRA signals power has been measured with an experimental system, the data having been processed by MATLAB software. The obtained results could contribute to the improvement of TETRA mobile station algorithms with the aim of base stations broadcasting channels detection and to the improvement of the measurement system settings in order to obtain the coverage maps of the TETRA base stations. Tue, 31 Aug 2010 00:00:00 +0300 A Robust Blind Image Watermarking Method Using Local Maximum Amplitude Wavelet Coefficient Quantization http://dx.doi.org/10.4316/aece.2010.03016 http://dx.doi.org/10.4316/aece.2010.03016 M., HAJIZADEH, M. S., HELFROUSH, M. J., DEHGHANI, A., TASHK, In this paper, an innovative blind watermarking algorithm has been proposed for imagery applications. This algorithm has used the coefficients of the discrete wavelet transform of the host image in the form of super trees to embed the predefined binary watermark in the host image. In this scheme, a pseudo random sequence is generated to determine the exact wavelet super trees used for embedding procedure. In the next step, after choosing the maximum and second maximum amplitude coefficients of each super tree, the distance vector between two coefficients is computed. For embedding bit zero of the specified watermark, the values of the distance vector elements are decreased, while for embedding bit 1, those values will be increased based on the proposed formulas. The experimental results show that the proposed algorithm has significant robustness against image processing attacks, especially JPEG compression and also the PSNR value for the watermarked images generated by the proposed method is more than 42 dB. Tue, 31 Aug 2010 00:00:00 +0300 PCA Fault Feature Extraction in Complex Electric Power Systems http://dx.doi.org/10.4316/aece.2010.03017 http://dx.doi.org/10.4316/aece.2010.03017 Y., ZHANG, Z., WANG, J., ZHANG, J., MA, Electric power system is one of the most complex artificial systems in the world. The complexity is determined by its characteristics about constitution, configuration, operation, organization, etc. The fault in electric power system cannot be completely avoided. When electric power system operates from normal state to failure or abnormal, its electric quantities (current, voltage and angles, etc.) may change significantly. Our researches indicate that the variable with the biggest coefficient in principal component usually corresponds to the fault. Therefore, utilizing real-time measurements of phasor measurement unit, based on principal components analysis technology, we have extracted successfully the distinct features of fault component. Of course, because of the complexity of different types of faults in electric power system, there still exists enormous problems need a close and intensive study. Tue, 31 Aug 2010 00:00:00 +0300 Shunt Active Filter in Damping Harmonics Propagation http://dx.doi.org/10.4316/aece.2010.03018 http://dx.doi.org/10.4316/aece.2010.03018 H., TEDJINI, Y., MESLEM, M., RAHLI, B., BERBAOUI, This paper deals with a hybrid shunt active power filter applied on 500 kV HVDC, after a description of the causes and effects harmonic pollution which may damage equipments and interrupt electric power customers service; in this paper we present the deferent solutions of this problem among one has to study the two most recent types of filtering: passive and hybrid filter. The hybrid filter consists of active filter connected in shunt with passive filter. The hybrid shunt active filter proposed is based on three levels PWM inverter and characterized by detecting the harmonic current flowing into the passive filter and controlled by notch algorithm. This structure has been applied on a test HVDC power system, is presented as a technical solution makes it possible to eliminate the disadvantages from passive filtering, and also economic price of active filtering part. The simulation results justified the effectiveness of this type of filter face of the classic passive filter. Tue, 31 Aug 2010 00:00:00 +0300 Approaches in High Impedance Fault Detection - A Chronological Review http://dx.doi.org/10.4316/aece.2010.03019 http://dx.doi.org/10.4316/aece.2010.03019 M., SEDIGHIZADEH, A., REZAZADEH, N. I., ELKALASHY, This paper reviews the major contributions to the high impedance fault (HIF) detection field throughout a 48-year period, from 1960 up to 2008, from classic approaches to heuristic algorithms. After surveying around 225 papers in the field, the amount of existing works for each method is identified and classified. The paper concludes with comparative tables and graphs demonstrating the frequency of each high impedance fault detection methods, and so it can be used as a guideline for researchers in this field. Tue, 31 Aug 2010 00:00:00 +0300 Performance Analysis of Microcellular Mobile Radio Systems with Selection Combining in the Presence of Arbitrary Number of Cochannel Interferences http://dx.doi.org/10.4316/aece.2010.04001 http://dx.doi.org/10.4316/aece.2010.04001 N. M., SEKULOVIC, M. C., STEFANOVIC, D. L., DRACA, A. S., PANAJOTOVIC, D. M., STEFANOVIC, In this paper, the performance of dual selection combining (SC) receiver in communications systems with a Rician desired signal affected by multiple Nakagami-m cochannel interferences (CCIs) is studied. This investigation is important since such environment seems to be the most realistic in microcellular radio communications systems. The performance analysis includes the channel correlation effect since in practice diversity is usually applied in small terminals so antenna elements can not be placed sufficiently apart to achieve independent fading channels. With assumption that CCIs are mutually independent and identically distributed, analytical expressions for the probability density function (PDF) and cumulative distribution function (CDF) of dual SC output signal-to-interference ratio (SIR) are derived and used to investigate important system performance measures, such as the average bit error probability (ABEP), channel capacity and outage probability. The proposed mathematical analysis is complemented by various graphically presented numerical results to show the effects of various system's parameters. In addition, the impact of diversity to the microcellular system's performance is also explored. Tue, 30 Nov 2010 00:00:00 +0200 A New Controller for FES-Assisted Sitting Down in Paraplegia http://dx.doi.org/10.4316/aece.2010.04002 http://dx.doi.org/10.4316/aece.2010.04002 M. S., POBORONIUC, D. E., WOOD, R., RIENER, N. N., DONALDSON, A new control strategy that supports the sitting down phase in FES-assisted standing in paraplegia is proposed. It is an adaptation of a well established closed-loop On/Off controller that uses trajectories within the state space of knee angle and knee angular velocity, but defines a zone between the On and Off sub-spaces for gradual change in the stimulation levels. This new controller has been experimentally tested on two paraplegic patients and it is concluded that compared to the conventional On/Off controller it better controls the lowering of the person toward the seat, by reducing knee-end velocity and handle reaction forces. It has a certain degree of interaction with the user's voluntary effort. Keeping the system simple in respect to the required number of sensors, only the knee angle measurements are required as feedback signal making the strategy simple and, thus, particularly useful for daily standing exercises in home environments. Tue, 30 Nov 2010 00:00:00 +0200 Direct Torque Control of Induction Motor with Direct Calculation of Voltage Vector http://dx.doi.org/10.4316/aece.2010.04003 http://dx.doi.org/10.4316/aece.2010.04003 P., BRANDSTETTER, P., CHLEBIS, P., PALACKY, Direct torque control is one of modern methods of A.C. machines control. The direct torque control methods with direct calculation of the vector voltage and vector pulse width modulator were developed and experimentally tested at the Department of Electronics. The paper describes the theoretical assumptions of developed control methods and differences from classical direct torque methods. In the paper, important quantities are shown which were measured on a real induction motor drive with digital signal processor control system. Tue, 30 Nov 2010 00:00:00 +0200 On ECG Compressed Sensing using Specific Overcomplete Dictionaries http://dx.doi.org/10.4316/aece.2010.04004 http://dx.doi.org/10.4316/aece.2010.04004 M., FIRA, L., GORAS, C., BARABASA, N., CLEJU, The paper presents a number of results regarding the construction of specific overcomplete dictionaries for ECG compressed sensing (CS). The dictionaries were built using normal and patological cardiac patterns extracted from 24 recordings of the MIT-BIH Arrhythmia Database. It has been shown that the compression results obtained using the CS concept based on specific dictionaries are better that those using the wavelet overcomplete dictionaries. Starting from the concept of sparse signal with respect to a given overcomplete dictionary the paper present several results regarding the possibility of simple pattern classification as well. Tue, 30 Nov 2010 00:00:00 +0200 The Analysis of the Polaroid Optocoupler Mechanical-electrical Sensor http://dx.doi.org/10.4316/aece.2010.04005 http://dx.doi.org/10.4316/aece.2010.04005 I. M., CIURUS, M., DIMIAN, A., GRAUR, This paper presents the results of the analysis of Polaroid optocoupler mechanical-electrical sensor static characteristics. Our paper achieves analysis on distance adjustment Polaroid optocouplers of LED-photoresistor and LED-phototransistor types. These optocouplers analysis was performed in two distinct cases by using 0.2 mm and 0.7 mm thick Polaroid filters. At present, this Polaroid optocoupler mechanical-electrical sensor is only a prototype. Tue, 30 Nov 2010 00:00:00 +0200 Orthogonal Functions Applied in Antenna Positioning http://dx.doi.org/10.4316/aece.2010.04006 http://dx.doi.org/10.4316/aece.2010.04006 S., NIKOLI, D., ANTIC, B., DANKOVIC, M., MILOJKOVIC, Z., JOVANOVIC, S., PERIC, In this paper, we present a method for designing orthogonal, Legendre type filters. Realization of these filters is very simple and they are very fast, robust and precise. They can be used for generating the sequence of Legendre orthogonal functions. We have also developed a new method for positioning an antenna system, based on these filters, where the filter is applied in detection of electromagnetic field gradient. Control algorithm is based on improved method of gradients. Proposed control algorithm has been verified on practically realized, experimental antenna system and compared with some others tracking control algorithms. Performed experiments have verified efficiency, speed and accuracy of the proposed control method. Tue, 30 Nov 2010 00:00:00 +0200 Investigation and Calculation of Magnetic Field in Tubular Linear Reluctance Motor Using FEM http://dx.doi.org/10.4316/aece.2010.04007 http://dx.doi.org/10.4316/aece.2010.04007 A., MOSALLANEJAD, A., SHOULAIE, In this paper the magnetic flux density of tubular linear reluctance motor (TLRM) in open type magnetic circuit is studied. Also, all magnetic flux density calculation methods in winding of tubular linear reluctance motor are described. The effect of structure parameters on magnetic flux density is also discussed. Electromagnetic finite-element analysis is used for simulation of magnetic field, and simulation results of the magnetic field analysis with DC voltage excitation are compared with results obtained from calculation methods. The comparison yields a good agreement. Tue, 30 Nov 2010 00:00:00 +0200 From Content-Based Image Retrieval by Shape to Image Annotation http://dx.doi.org/10.4316/aece.2010.04008 http://dx.doi.org/10.4316/aece.2010.04008 I., MOCANU, In many areas such as commerce, medical investigations, and others, large collections of digital images are being created. Search operations inside these collections of images are usually based on low-level features of objects contained in an image: color, shape, texture. Although such techniques of content-based image retrieval are useful, they are strongly limited by their inability to consider the meaning of images. Moreover, specifying a query in terms of low level features may not be very simple. Image annotation, in which images are associated with keywords describing their semantics, is a more effective way of image retrieval and queries can be naturally specified by the user. The paper presents a combined set of methods for image retrieval, in which both low level features and semantic properties are taken into account when retrieving images. First, it describes some methods for image representation and retrieval based on shape, and proposes a new such method, which overcomes some of the existing limitations. Then, it describes a new method for image semantic annotation based on a genetic algorithm, which is further improved from two points of view: the obtained solution value - using an anticipatory genetic algorithm, and the execution time - using a parallel genetic algorithm. Tue, 30 Nov 2010 00:00:00 +0200 End-User Recommendations on LOGOMON - a Computer Based Speech Therapy System for Romanian Language http://dx.doi.org/10.4316/aece.2010.04009 http://dx.doi.org/10.4316/aece.2010.04009 D. M., SCHIPOR, S. G., PENTIUC, O. A., SCHIPOR, In this paper we highlight the relations between LOGOMON - a Computer Based Speech Therapy System and dyslalia's training steps. Dyslalia is a speech disorder that affects pronunciation of one or many sounds. This presentation of the system is completed by a research regarding end-user (i.e. teachers and parents) attitude about the speech assisted therapy in general and about LOGOMON System in particular. The results of this research allow the improvement of our CBST system because the obtained information can be a source of adaptability to different expectations of the beneficiaries. Tue, 30 Nov 2010 00:00:00 +0200 Development of IR-Based Short-Range Communication Techniques for Swarm Robot Applications http://dx.doi.org/10.4316/aece.2010.04010 http://dx.doi.org/10.4316/aece.2010.04010 F., ARVIN, K., SAMSUDIN, A. R., RAMLI, This paper proposes several designs for a reliable infra-red based communication techniques for swarm robotic applications. The communication system was deployed on an autonomous miniature mobile robot (AMiR), a swarm robotic platform developed earlier. In swarm applications, all participating robots must be able to communicate and share data. Hence a suitable communication medium and a reliable technique are required. This work uses infrared radiation for transmission of swarm robots messages. Infrared transmission methods such as amplitude and frequency modulations will be presented along with experimental results. Finally the effects of the modulation techniques and other parameters on collective behavior of swarm robots will be analyzed. Tue, 30 Nov 2010 00:00:00 +0200 Multi-Objective PSO- and NPSO-based Algorithms for Robot Path Planning http://dx.doi.org/10.4316/aece.2010.04011 http://dx.doi.org/10.4316/aece.2010.04011 E., MASEHIAN, D., SEDIGHIZADEH, In this paper two novel Particle Swarm Optimization (PSO)-based algorithms are presented for robot path planning with respect to two objectives, the shortest and smoothest path criteria. The first algorithm is a hybrid of the PSO and the Probabilistic Roadmap (PRM) methods, in which the PSO serves as the global planner whereas the PRM performs the local planning task. The second algorithm is a combination of the New or Negative PSO (NPSO) and the PRM methods. Contrary to the basic PSO in which the best position of all particles up to the current iteration is used as a guide, the NPSO determines the most promising direction based on the negative of the worst particle position. The two objective functions are incorporated in the PSO equations, and the PSO and PRM are combined by adding good PSO particles as auxiliary nodes to the random nodes generated by the PRM. Both the PSO+PRM and NPSO+PRM algorithms are compared with the pure PRM method in path length and runtime. The results showed that the NPSO has a slight advantage over the PSO, and the generated paths are shorter and smoother than those of the PRM and are calculated in less time. Tue, 30 Nov 2010 00:00:00 +0200 Analysis of Linear Block Codes as Sources with Memory http://dx.doi.org/10.4316/aece.2010.04012 http://dx.doi.org/10.4316/aece.2010.04012 V., MUNTEANU, D., TARNICERIU, G., ZAHARIA, The linear, binary, block codes with no equally likely probabilities for the binary symbols are analyzed. The encoding graph for systematic linear block codes is proposed. These codes are seen as sources with memory and the information quantities H(S,X), H(S), H(X), H(X|S), H(S|X), I(S,X) are derived. On the base of these quantities, the code performances are analyzed. Tue, 30 Nov 2010 00:00:00 +0200 Genetic Algorithm-based Dynamic Vehicle Route Search using Car-to-Car Communication http://dx.doi.org/10.4316/aece.2010.04013 http://dx.doi.org/10.4316/aece.2010.04013 B., OH, Y., NA, J., YANG, S., PARK, J., NANG, J., KIM, Suggesting more efficient driving routes generate benefits not only for individuals by saving commute time, but also for society as a whole by reducing accident rates and social costs by lessening traffic congestion. In this paper, we suggest a new route search algorithm based on a genetic algorithm which is more easily installable into mutually communicating car navigation systems, and validate its usefulness through experiments reflecting real-world situations. The proposed algorithm is capable of searching alternative routes dynamically in unexpected events of system malfunctioning or traffic slow-downs due to accidents. Experimental results demonstrate that our algorithm searches the best route more efficiently and evolves with universal adaptability. Tue, 30 Nov 2010 00:00:00 +0200 An Approach to Synthesis of a Class of Electric Drives with Dual-Zone Speed Control http://dx.doi.org/10.4316/aece.2010.04014 http://dx.doi.org/10.4316/aece.2010.04014 M., MIKHOV, T., GEORGIEV, An approach to dual-zone speed control of DC motor electric drives is presented in this paper. The new point is that in the syntheses of controllers a combination between setting of closed-loop system poles (modal control) and optimal control through the quadratic quality criterion minimization is applied. Optimal modal control is achieved whereat a new type of complex criterion for selection of the functional is used. This approach allows taking into consideration the controlled object parameters' change at determination of the optimal modal controller coefficients when speed is regulated above the rated value. The research carried out as well as the results obtained can be used in the design, optimization and tuning of such types of drive systems. Tue, 30 Nov 2010 00:00:00 +0200 DPCM with Forward Gain-Adaptive Quantizer and Simple Switched Predictor for High Quality Speech Signals http://dx.doi.org/10.4316/aece.2010.04015 http://dx.doi.org/10.4316/aece.2010.04015 V. M., DESPOTOVIC, Z. H., PERIC, L., VELIMIROVIC, V. D., DELIC, In this article DPCM (Differential Pulse Code Modulation) speech coding scheme with a simple switched first order predictor is presented. Adaptation of the quantizer to the signal variance is performed for each particular frame. Each frame is classified as high or low correlated, based on the value of the correlation coefficient, then the selection of the appropriate predictor coefficient and bitrate is performed. Low correlated frames are encoded with a higher bitrate, while high correlated frames are encoded with a lower bitrate without the objectionable loss in quality. Theoretical model and experimental results are provided for the proposed algorithm. Tue, 30 Nov 2010 00:00:00 +0200 Design of Saving Circuit with Fuzzy Logic Control for Residences and Small Scale Enterprises http://dx.doi.org/10.4316/aece.2010.04016 http://dx.doi.org/10.4316/aece.2010.04016 F., BASCIFTCI, O. F., HATAY, One of the most effective methods of achieving savings in electrically-operated systems and increasing the efficiency is reactive power compensation. With the presently enforced regulation, compensation is mandatory for industrial consumers and it is done at certain power intervals, there is no regulation for residences and small scale enterprises on this subject. In this study, measurement of the reactive power in single-phase systems has been developed, as well as calculation for directing for energy saving through a microcontroller. In the implemented system, the phase difference between the current and voltage is measured, the outputs are made fuzzy according to the amount of the consumed reactive power and directing to saving is done Implementation results demonstrated that the designed system has a simple structure and small dimensions, it brings up the power coefficient of the system to the optimum level, it reduces the faults to minimum and reduces the cost. Furthermore, the portability feature of the system makes it possible to prevent adverse situations that may happen when no reactive power is consumed or when no device is being used. Tue, 30 Nov 2010 00:00:00 +0200 An advanced strategy for wind speed forecasting using expert 2-D FIR filters http://dx.doi.org/10.4316/aece.2010.04017 http://dx.doi.org/10.4316/aece.2010.04017 A. A., MOGHADDAM, A. R., SEIFI, Renewable energies such as wind and solar have become the most attractive means of electricity generation nowadays. Social and environmental benefits as well as economical issues result in further utilization of such these energy resources. In this regard, wind energy plays an important roll in operation of small-scale power systems like Micro Grid. On the other hand, wind stochastic nature in different time and place horizons, makes accurate forecasting of its behavior an inevitable task for market planners and energy management systems. In this paper an advanced strategy for wind speed estimation has been purposed and its superior performance is compared to that of conventional methods. The model is based on linear predictive filtering and image processing principles using 2-D FIR filters. To show the efficiency of purposed predictive model different FIR filters are designed and tested through similar data. Wind speed data have been collected during the period January 1, 2009 to December 31, 2009 from Casella automatic weather station at Plymouth. It is observed that 2-D FIR filters act more accurately in comparison with 1-D conventional representations; however, their prediction ability varies considerably through different filter sizing. Tue, 30 Nov 2010 00:00:00 +0200 Adaptive Passivity-Based Control of PEM Fuel Cell/Battery Hybrid Power Source for Stand-Alone Applications http://dx.doi.org/10.4316/aece.2010.04018 http://dx.doi.org/10.4316/aece.2010.04018 A., TOFIGHI, A., KALANTAR, In this paper, a DC hybrid power source composed of PEM fuel cell as main source, Li-ion battery storage as transient power source and their power electronic interfacing is modelled based on Euler-Lagrange framework. Subsequently, adaptive passivity-based controllers are synthesized using the energy shaping and damping injection technique. Local asymptotic stability is insured as well. In addition, the power management system is designed in order to manage power flow between components. Evaluation of the proposed system and simulation of the hybrid system are accomplished using MATLAB/Simulink. Afterwards, linear PI controllers are provided for the purpose of comparison with proposed controllers responses. The results show that the outputs of hybrid system based on adaptive passivity-based controllers have a good tracking response, low overshoot, short settling time and zero steady-state error. The comparison of results demonstrates the robustness of the proposed controllers for reference DC voltage and resistive load changes. Tue, 30 Nov 2010 00:00:00 +0200 Influence of parameters detuning on induction motor NFO shaft-sensorless scheme http://dx.doi.org/10.4316/aece.2010.04019 http://dx.doi.org/10.4316/aece.2010.04019 D., OROS, V., VASIC, D., MARCETIC, F., KULIC, In this paper, the parameter sensitivity analysis of shaft-sensorless induction motor drive with natural field orientation (NFO) scheme is performed. NFO scheme calculates rotor flux position using the rotor flux vector reference only, does not require significant processor power and therefore it is suitable for low cost shaft sensorless drives. This concept also eliminates the need for sensitive stator voltage vector integration and it is usable in low rotor speed range. However, low speeds are coupled with low stator voltage amplitudes, which inflate the NFO scheme sensitivity to an error in stator resistance parameter. Similar problems can also take place if mutual inductance parameter is detuned, but this time in whole speed range. This paper investigates the influence of each parameter error on the NFO control steady state characteristics and dynamic performance. Tue, 30 Nov 2010 00:00:00 +0200 Searching Appropriate Mother Wavelets for Hyperanalytic Denoising http://dx.doi.org/10.4316/aece.2010.04020 http://dx.doi.org/10.4316/aece.2010.04020 I., FIROIU, C., NAFORNITA, J. M., BOUCHER, A., ISAR, The aim of this paper is the association of a new variant of Hyperanalytic Wavelet Transform (HWT) with a maximum a posteriori (MAP) filter, named bishrink for the denoising of images affected by additive white Gaussian noise (AWGN). The best results are obtained with the biorthogonal mother wavelets Daubechies 9/7. Tue, 30 Nov 2010 00:00:00 +0200 Force Profiles of a Linear Switched Reluctance Motor Having Special Pole Face Shapes http://dx.doi.org/10.4316/aece.2010.04021 http://dx.doi.org/10.4316/aece.2010.04021 N. C., LENIN, R., ARUMUGAM, V., CHADRESEKAR, In this paper, the results of a finite element analysis are carried out on an new stator geometry of a three phase longitudinal flux Linear Switched Reluctance Motor (LSRM). In the new geometry, pole shoes are affixed to the stator poles. Static and dynamic characteristics for the proposed structure have been highlighted. Motor performance for variable load conditions is discussed. Frequency spectrum analyses of force profile using the fast Fourier transform (FFT) are described to predict the vibration frequencies. The 2-Dimensional (2-D) finite element analysis (FEA) and the experimental results of this paper prove that LSRMs are one of the strong candidates for linear propulsion drives. Tue, 30 Nov 2010 00:00:00 +0200 Dynamic shielding of the magnetic fields http://dx.doi.org/10.4316/aece.2010.04022 http://dx.doi.org/10.4316/aece.2010.04022 O., BALTAG, D., COSTANDACHE, M., RAU, A., IFTEMIE, I., RAU, The paper presents a comparative study of the methods used to control and compensate the direct and alternative magnetic fields. Two frequently used methods in the electromagnetic compatibility of the complex biomagnetism installations were analyzed. The two methods refer to the use of inductive magnetic field sensors (only for alternative fields) and of fluxgate magnetometers as active transducers which measures both the direct and alternative components of the magnetic field. The applications of the dynamic control of the magnetic field are: control of the magnetic field of the military ships, control of parasite magnetic field produced by power transformers and the electrical networks, protection of the mass spectrometers, electronic microscopes, SQUID and optical pumping magnetometers for applications in biomagnetism. Tue, 30 Nov 2010 00:00:00 +0200 Effects of Photovoltaic and Fuel Cell Hybrid System on Distribution Network Considering the Voltage Limits http://dx.doi.org/10.4316/aece.2010.04023 http://dx.doi.org/10.4316/aece.2010.04023 Y. K., RENANI, B., VAHIDI, H. A., ABYANEH, Development of distribution network and power consumption growth, increase voltage drop on the line impedance and therefore voltage drop in system buses. In some cases consumption is so high that voltage in some buses exceed from standard. In this paper, effect of the fuel cell and photovoltaic hybrid system on distribution network for solving expressed problem is studied. For determining the capacity of each distributed generation source, voltage limitation on the bus voltages under different conditions is considered. Simulation is done by using DIgSILENT software on the part of the 20 kV real life Sirjan distribution system. In this article, optimum location with regard to system and environmental conditions are studied in two different viewpoints. Tue, 30 Nov 2010 00:00:00 +0200 Continuous DTC of the Induction Motor http://dx.doi.org/10.4316/aece.2010.04024 http://dx.doi.org/10.4316/aece.2010.04024 S., IVANOV, In the case of the classical direct torque control (DTC) of the induction motor, the minimum switching period of the inverter is equal with the sampling period of the control system. Due to this intrinsic characteristic, competitive real time control can be achieved only by using high performance control systems. If moderate performances system is used, the behavior of the drive is unsatisfactory, even inacceptable. The paper proposes continuous variants of the DTC, obtained by replacing the discrete controllers specific to the classical DTC with two or three continuous controllers, one of them being the speed controller. Thus, the sampling period of the control system is decoupled by the switching period of the inverter and a moderate performance real time control system can be used. Tue, 30 Nov 2010 00:00:00 +0200 Real Time and Multiple Location Radon (222Rn) Monitoring System http://dx.doi.org/10.4316/aece.2010.04025 http://dx.doi.org/10.4316/aece.2010.04025 P. L., OGRUTAN, M., ROMANCA, C., GERIGAN, G., MORARIU, L. E., ACIU, The paper presents a Radon monitoring system. The system is designed for real time multiple location monitoring. The paper presents in the first part a method and an instrument for measuring radon concentration in air. Simulink simulations and implementation of the measurement principle are presented. Instrument position is determined by GPS and transmitted over GPRS along with the measurements results. Data management is accomplished by a software component of the system. The paper presents as an application, an investigation on nanomaterials to be used for Radon mitigation. Tue, 30 Nov 2010 00:00:00 +0200 Statistical and Fractal Processing of Phase Images of Human Biological Fluids http://dx.doi.org/10.4316/aece.2010.04026 http://dx.doi.org/10.4316/aece.2010.04026 Y. O., USHENKO, Y. Y., TOMKA, Y. I., MARCHUK, V. O., BALANETCKA, Performed in this work are complex statistical and fractal analyses of phase properties inherent to birefringence networks of liquid crystals consisting of optically-thin layers prepared from human bile. Within the framework of a statistical approach, the authors have investigated values and ranges for changes of statistical moments of the 1-st to 4-th orders that characterize coordinate distributions for phase shifts between orthogonal components of amplitudes inherent to laser radiation transformed by human bile with various pathologies. Using the Gramm-Charlie method, ascertained are correlation criteria for differentiation of phase maps describing pathologically changed liquid-crystal networks. In the framework of the fractal approach, determined are dimensionalities of self-similar coordinate phase distributions as well as features of transformation of logarithmic dependences for power spectra of these distributions for various types of human pathologies. Tue, 30 Nov 2010 00:00:00 +0200 Variable Structure Control of DFIG for Wind Power Generation and Harmonic Current Mitigation http://dx.doi.org/10.4316/aece.2010.04027 http://dx.doi.org/10.4316/aece.2010.04027 D., KAIRUS, R., WAMKEUE, B., BELMADANI, M., BENGHANEM, This paper focuses on wind energy conversion system (WECS) analysis and control for power generation along with problems related to the mitigation of harmonic pollution in the grid using a variable-speed structure control of the doubly fed induction generator (DFIG). A control approach based on the so-called sliding mode control (SMC) that is both efficient and suitable is used for power generation control and harmonic-current compensation. The WECS then behaves as an active power filter (APF). The method aims at improving the overall efficiency, dynamic performance and robustness of the wind power generation system. Simulation results obtained on a 20-kW, 380-V, 50-Hz DFIG confirm the effectiveness of the proposed approach. Tue, 30 Nov 2010 00:00:00 +0200 Polarization-singular Processing of Phase-inhomogeneous Layers Laser Images to Diagnose and Classify their Optical Properties http://dx.doi.org/10.4316/aece.2011.01001 http://dx.doi.org/10.4316/aece.2011.01001 Y. O., USHENKO, Y. Y., TOMKA, I. Z., MISEVICH, A.-P., ANGELSKY, V. T., BACHINSKY, Adduced in this work are the results of investigation aimed at analysis of coordinate distributions for azimuths and ellipticity of polarization (polarization maps) in laser images of three types of phase-inhomogeneous layers (PhIL), namely: rough, ground and bulk scattering layers. To characterize polarization maps for all the types of PhIL, the authors have offered to use three groups of parameters: statistical moments of the first to fourth orders, autocorrelation functions, logarithmic dependences for power spectra related to distributions of azimuths and ellipticity of polarization inherent to PhIL laser images. Ascertained are the criteria for diagnostics and classification of PhIL optical properties. Sun, 27 Feb 2011 00:00:00 +0200 Optimization Algorithms Testing and Convergence by Using a Stacked Histogram http://dx.doi.org/10.4316/aece.2011.01002 http://dx.doi.org/10.4316/aece.2011.01002 K., ZAPLATILEK, M., TALPA, J., LEUCHTER, The article describes an original method of optimization algorithms testing and convergence. The method is based on so-called stacked histogram. Stacked histogram is a histogram with its features marked by a chosen colour scheme. Thus, the histogram maintains the information on the input digital sequence. This approach enables an easy identification of the hidden defects in the random process statistical distribution. The stacked histogram is used for the testing of the convergent quality of various optimization techniques. Its width, position and colour scheme provides enough information on the chosen algorithm optimization trajectory. Both the classic iteration techniques and the stochastic optimization algorithm with the adaptation were used as examples. Sun, 27 Feb 2011 00:00:00 +0200 The Study of the Electromagnetic Shielding Properties of a Textile Material with Amorphous Microwire http://dx.doi.org/10.4316/aece.2011.01003 http://dx.doi.org/10.4316/aece.2011.01003 M., RAU, A., IFTEMIE, O., BALTAG, D., COSTANDACHE, The paper presents the results concerning the utilization of a new class of composite textile materials with electromagnetic properties and the possibility of their utilization in the production of electromagnetic field protective equipment. The experimental and theoretical results concerning the electromagnetic characterization of a new textile material with composite structure are presented also considering the following aspects: - evaluation of the possibilities to use amorphous magnetic microwires in electromagnetic shielding; - study of the electromagnetic properties of the composite textile material, especially the electromagnetic field shielding, reflection and polarization; - determination of the frequency range within which these properties can be used in the realization of materials for the protection against electromagnetic fields. The experimental results of a material sample and a phantom for applications are connected with shielding in the frequency range used in mobile communications. Sun, 27 Feb 2011 00:00:00 +0200 A VLSI Implementation of a New Low Voltage 5th Order Differential Gm-C Low-Pass Filter with Auto-Tuning Loop in CMOS Technology http://dx.doi.org/10.4316/aece.2011.01004 http://dx.doi.org/10.4316/aece.2011.01004 R. G., BOZOMITU, N., COJAN, In this paper a new low voltage 5th order Gm-C Bessel type low-pass filter (LPF) with auto-tuning loop and higher dynamic range, designed in CMOS technology, is presented. The cut-off frequency can be tuned in (10-42)MHz range by modifying the values of the grounded capacitors using a digital logic. The proposed structure is based on an auto-tuning loop in order to maintain the Gm/C ratio independent of the process, supply voltage and temperature variations, assuring the cut-off frequency of the LPF independently of these factors. The proposed 5th order Gm-C Bessel type low-pass filter provides 5% variation of the cut-off frequency in all critical corners, a 400mVpp(diff) dynamic range, THD less than 1% and 21.6mW power consumption from 1.8V supply voltage. The simulations performed in 65nm CMOS process confirm the theoretical results. Sun, 27 Feb 2011 00:00:00 +0200 Delay-bound Admission Control for Real-time Traffic in Fourth Generation IMT-Advanced Networks based on 802.16m http://dx.doi.org/10.4316/aece.2011.01005 http://dx.doi.org/10.4316/aece.2011.01005 N., POUDYAL, H. C., LEE, Y. J., KWON, B. S., LEE, In this paper a novel schedulability criteria is developed to provide Quality of Service (QoS) guarantees in terms of both minimum available bandwidth and maximum tolerated packet delay as required by the real-time traffic class. The contribution makes use of a measurement based admission control scheme at the base station of the 802.16m based 4G IMT-advanced network by considering the effects of various kinds of delays including the channel access delay, queuing delay and MAC layer transmission delay on the system's end to end delay. The paper also provides a way for the mobile station to proactively increase the chances of success of bandwidth grants by predicting in advance whether its bandwidth request will be approved by the base station, and then modifying or suspending its bandwidth request in case the chances of success is not favorable at that instant. Sun, 27 Feb 2011 00:00:00 +0200 Beamformer for Cylindrical Conformal Array of Non-isotropic Antennas http://dx.doi.org/10.4316/aece.2011.01006 http://dx.doi.org/10.4316/aece.2011.01006 L., ZOU, J., LASEBY, Z., HE, The principal objective of this investigation is to facilitate minimum variance distortionless response (MVDR) beamforming technique for a cylindrical conformal array geometry. An array of directional radiating elements is postulated to cover a surface typical of the cylinder of an aircraft or missile. Borrowing the analysis of conformal array antennas, the authors first derive a deterministic expression that describes the beam pattern of arbitrary weighted cylindrical conformal array. Then, making use of the MVDR beamforming, we derive the beamformer for uniform linear array (ULA) of directional antennas which are different from the traditional omnidirectional elements. Thus, the pattern of a directional element is synthesized by the antennas on the same ring array, and we design the MVDR beamformer, which uses MVDR beamforming for ULA of the synthesized pattern. To demonstrate the validity of the method, and cylinder arrays are constructed and experimental results agree well with theoretical expectations. Sun, 27 Feb 2011 00:00:00 +0200 A Generalized DRM Architectural Framework http://dx.doi.org/10.4316/aece.2011.01007 http://dx.doi.org/10.4316/aece.2011.01007 V. V., PATRICIU, I., BICA, M., TOGAN, S. V., GHITA, Online digital goods distribution environment lead to the need for a system to protect digital intellectual property. Digital Rights Management (DRM) is the system born to protect and control distribution and use of those digital assets. The present paper is a review of the current state of DRM, focusing on architectural design, security technologies, and important DRM deployments. The paper primarily synthesizes DRM architectures within a general framework. We also present DRM ecosystem as providing a better understanding of what is currently happening to content rights management from a technological point of view. This paper includes conclusions of several DRM initiative studies, related to rights management systems with the purpose of identifying and describing the most significant DRM architectural models. The basic functions and processes of the DRM solutions are identified. Sun, 27 Feb 2011 00:00:00 +0200 Optimal Fuzzy Controller Tuned by TV-PSO for Induction Motor Speed Control http://dx.doi.org/10.4316/aece.2011.01008 http://dx.doi.org/10.4316/aece.2011.01008 F., KULIC, D., MATIC, B., DUMNIC, V., VASIC, This paper reports an automated procedure for the design of an optimal fuzzy logic controller to be used as an induction motor speed controller. The procedure consists of selection of a suitable well known fuzzy logic controller and tuning via particle swarm optimization optimal for the selected criteria. In this way the time required for tuning of the controller is significantly reduced in comparison with trial and error methods. As a benchmark a proportional-integral (PI) controller is used. The PI controller is tuned via the symmetrical optimum procedure, the standard procedure for tuning a speed controller of an induction motor. Simulation results are obtained via a mathematical model developed in Matlab/Simulink. Experimental verification is carried out with a laboratory model based on the DS1104 digital control card. To minimize iron losses and to provide better motor performance for low loads, flux is reduced from nominal and speed is kept below nominal. Results are presented in tables and graphics. The optimal fuzzy logic controller provides a slight practical advantage. Sun, 27 Feb 2011 00:00:00 +0200 Parameter Identification for Nonlinear Circuit Models of Power BAW Resonator http://dx.doi.org/10.4316/aece.2011.01009 http://dx.doi.org/10.4316/aece.2011.01009 F., CONSTANTINESCU, A. G., GHEORGHE, M., NITESCU, A., FLOREA, O., LLOPIS, P., TARAS, The large signal operation of the bulk acoustic wave (BAW) resonators is characterized by the amplitude-frequency effect and the intermodulation effect. The measurement of these effects, together with that of the small signal frequency characteristic, are used in this paper for the parameter identification of the nonlinear circuit models developed previously by authors. As the resonator has been connected to the measurement bench by wire bonding, the parasitic elements of this connection have been taken into account, being estimated solving some electrical and magnetic field problems. Sun, 27 Feb 2011 00:00:00 +0200 Blind Source Separation for Convolutive Mixtures with Neural Networks http://dx.doi.org/10.4316/aece.2011.01010 http://dx.doi.org/10.4316/aece.2011.01010 B. S., KIREI, M. D., TOPA, I., MURESAN, I., HOMANA, N., TOMA, Blind source separation of convolutive mixtures is used as a preprocessing stage in many applications. The aim is to extract individual signals from their mixtures. In enclosed spaces, due to reverberation, audio signal mixtures are considered to be convolutive ones. Time domain algorithms (as neural network based blind source separation) are not suitable for signal recovery from convolutive mixtures, thus the need of frequency domain or subband processing arise. We propose a subband approach: first the mixtures are split to several subbands, next time-domain blind source separation is carried out in each subband, finally the recovered sources are recomposed from the subbands. The major drawback of the subband approach is the unknown order of the recovered sources. Regardless of this undesired phenomenon the subband approach is faster and more stable than the simple time domain algorithm. Sun, 27 Feb 2011 00:00:00 +0200 On Line Current Monitoring and Application of a Residual Method for Eccentricity Fault Detection http://dx.doi.org/10.4316/aece.2011.01011 http://dx.doi.org/10.4316/aece.2011.01011 A., METATLA, S., BENZAHIOUL, T., BAHI, D., LEFEBVRE, This work concerns the monitoring and diagnosis of faults in induction motors. We develop an approach based on residual analysis of stator currents to detect and diagnose faults eccentricity static, dynamic and mixed in three phase induction motor. To simulate the behavior of motor failure, a model is proposed based on the approach of magnetically coupled coils. The simulation results show the importance of the approach applied for the detection and diagnosis of fault in three phase induction motor. Sun, 27 Feb 2011 00:00:00 +0200 Performances of Gopinath Flux Observer Used in Direct Field Oriented Control of Induction Machines http://dx.doi.org/10.4316/aece.2011.01012 http://dx.doi.org/10.4316/aece.2011.01012 G., CRACIUNAS, In this paper there are outlined the automatic speed adjusting control system performances of a two-phase induction machine (TPIM) with direct field oriented control and using adaptive methods for the estimation of the rotoric flux spatial vector. Starting from the linear model of the two-phase induction machine, there are studied in comparison two solutions used in automatic speed adjusting control: one using the deduction of the spatial vector components of the rotoric flux by indirect field determination and the second using adaptive methods for rotoric flux spatial vector estimation from the two-phase components of the stator voltage and current. Thus there are emphasized the performances of the reduced order Gopinath observer. The operation of the automatic speed adjusting control system, based on solid adaptive estimation of the rotoric flux and indirect determination of the field, was studied using Matlab/SIMULINK real time simulation. Sun, 27 Feb 2011 00:00:00 +0200 Domain Independent Vocabulary Generation and Its Use in Category-based Small Footprint Language Model http://dx.doi.org/10.4316/aece.2011.01013 http://dx.doi.org/10.4316/aece.2011.01013 K.-H., KIM, J.-H., KIM, The work in this paper pertains to domain independent vocabulary generation and its use in category-based small footprint Language Model (LM). Two major constraints of the conventional LMs in the embedded environment are memory capacity limitation and data sparsity for the domain-specific application. This data sparsity adversely affects vocabulary coverage and LM performance. To overcome these constraints, we define a set of domain independent categories using a Part-Of-Speech (POS) tagged corpus. Also, we generate a domain independent vocabulary based on this set using the corpus and knowledge base. Then, we propose a mathematical framework for a category-based LM using this set. In this LM, one word can be assigned assign multiple categories. In order to reduce its memory requirements, we propose a tree-based data structure. In addition, we determine the history length of a category n-gram, and the independent assumption applying to a category history generation. The proposed vocabulary generation method illustrates at least 13.68% relative improvement in coverage for a SMS text corpus, where data are sparse due to the difficulties in data collection. The proposed category-based LM requires only 215KB which is 55% and 13% compared to the conventional category-based LM and the word-based LM, respectively. It successively improves the performance, achieving 54.9% and 60.6% perplexity reduction compared to the conventional category-based LM and the word-based LM in terms of normalized perplexity. Sun, 27 Feb 2011 00:00:00 +0200 Influence of Extrinsic Information Scaling Coefficient on Double-Iterative Decoding Algorithm for Space-Time Turbo Codes with Large Number of Antennas http://dx.doi.org/10.4316/aece.2011.01014 http://dx.doi.org/10.4316/aece.2011.01014 L., TRIFINA, D., TARNICERIU, A.-M., ROTOPANESCU, This paper analyzes the extrinsic information scaling coefficient influence on double-iterative decoding algorithm for space-time turbo codes with large number of antennas. The max-log-APP algorithm is used, scaling both the extrinsic information in the turbo decoder and the one used at the input of the interference-canceling block. Scaling coefficients of 0.7 or 0.75 lead to a 0.5 dB coding gain compared to the no-scaling case, for one or more iterations to cancel the spatial interferences. Sun, 27 Feb 2011 00:00:00 +0200 Challenges in the Design of Microwave Imaging Systems for Breast Cancer Detection http://dx.doi.org/10.4316/aece.2011.01015 http://dx.doi.org/10.4316/aece.2011.01015 V., ZHURBENKO, Among the various breast imaging modalities for breast cancer detection, microwave imaging is attractive due to the high contrast in dielectric properties between the cancerous and normal tissue. Due to this reason, this modality has received a significant interest and attention from the microwave community. This paper presents the survey of the ongoing research in the field of microwave imaging of biological tissues, with major focus on the breast tumor detection application. The existing microwave imaging systems are categorized on the basis of the employed measurement concepts. The advantages and disadvantages of the implemented imaging techniques are discussed. The fundamental tradeoffs between the various system requirements are indicated. Some strategies to overcome these limitations are outlined. Sun, 27 Feb 2011 00:00:00 +0200 Speed Regulated Continuous DTC Induction Motor Drive in Field Weakening http://dx.doi.org/10.4316/aece.2011.01016 http://dx.doi.org/10.4316/aece.2011.01016 P., MATIC, S. N., VUKOSAVIC, The paper describes sensorless speed controlled continuous Direct Torque Control (DTC) Induction Motor (IM) drive in the field weakening regime. Drive comprises an inner torque loop and an outer speed loop. Torque control is based on Proportional - Integral (PI) controller with adaptive Gain Scheduling (GS) parameters. The GS PI control provides full DC link voltage utilization and a robust disturbance rejection along with a fast torque response. Outer speed loop has a PI regulator with the gains selected so as to obtain a fast and strictly aperiodic response. Proposed drive fully utilizes the available DC bus voltage. The paper comprises analytical considerations, simulation results, and detailed description of the implementation steps. Experimental verification of the proposed solution is conducted on a fixed point Digital Signal Processor (DSP) platform. Sun, 27 Feb 2011 00:00:00 +0200 The Impact of the Load Side Parameters on PC Cluster's Harmonics Emission http://dx.doi.org/10.4316/aece.2011.01017 http://dx.doi.org/10.4316/aece.2011.01017 V. A., KATIC, S. V., MUJOVIC, V. M., RADULOVIC, J. S., RADOVIC, Harmonics current emission from personal computers (PCs) is of special interest to power quality researchers, due to their wide spread application and the fact that they are usually concentrated in large groups (clusters). The input current total harmonic distortion (THDI) dependence on number of connected PCs in a cluster (NPC) is affected by network parameters and load side parameters of each cluster's PC simultaneously. As the impact of grid parameters on the THDI=f(NPC) dependence is analyzed in the author's previous papers, special emphasis is given on the impact of the DC side smoothing capacitor (C) in PCs power supply unit. For engineering application it is convenient to present the THDI=f(NPC) function with simple mathematical expressions which include these effects. In the paper authors are proposing an improved mathematical expression to presents impact of load side (DC capacitance) parameters. To achieve this goal, results of the measurements of harmonic emission from a large computer center with 167 clustered PCs and the computer simulation for even larger number of PCs are used. Sun, 27 Feb 2011 00:00:00 +0200 A Novel Analytical Model for Network-on-Chip using Semi-Markov Process http://dx.doi.org/10.4316/aece.2011.01018 http://dx.doi.org/10.4316/aece.2011.01018 J., WANG, Y., LI, Q., PENG, Network-on-Chip (NoC) communication architecture is proposed to resolve the bottleneck of Multi-processor communication in a single chip. In this paper, a performance analytical model using Semi-Markov Process (SMP) is presented to obtain the NoC performance. More precisely, given the related parameters, SMP is used to describe the behavior of each channel and the header flit routing time on each channel can be calculated by analyzing the SMP. Then, the average packet latency in NoC can be calculated. The accuracy of our model is illustrated through simulation. Indeed, the experimental results show that the proposed model can be used to obtain NoC performance and it performs better than the state-of-art models. Therefore, our model can be used as a useful tool to guide the NoC design process. Sun, 27 Feb 2011 00:00:00 +0200 Queueing Theory-based Path Delay Analysis of Wireless Sensor Networks http://dx.doi.org/10.4316/aece.2011.02001 http://dx.doi.org/10.4316/aece.2011.02001 T., QIU, F., XIA, L., FENG, G., WU, B., JIN, Path planning is one of the important factors that affect data transmission and processing in wireless sensor networks (WSNs). This paper addresses this issue by means of the paths delay analysis. Considering that WSNs are used for temperature monitoring, we model the WSNs using the open queueing network theory and analyze the paths delay based on the model. An iterative approximation algorithm is proposed for the qualitative analysis of the packet arrival rate of sensor nodes. According to the capacity and redundancy of nodes along the path, the destination node search trees are created for pre-selecting the transmission paths. Then the end-to-end delays of the pre-selected node paths and the average delay of sub-queueing networks are calculated. The optimal path and the assistant path for data transmission in WSNs could be obtained on the basis of the delay analysis. Numerical results demonstrate the effectiveness of the proposed approach. Mon, 30 May 2011 00:00:00 +0300 Wireless Meter Reading Based Energy-Balanced Steady Clustering Routing Algorithm for Sensor Networks http://dx.doi.org/10.4316/aece.2011.02002 http://dx.doi.org/10.4316/aece.2011.02002 Y., TIAN, Z., TANG, According to the characteristics of wireless meter reading system, an energy-balanced and energy-efficient steady clustering routing algorithm (EBSC, Energy-Balanced Steady Clustering) is proposed. In the clustering mechanism, the current cluster head nodes determine cluster head nodes for next round according to the residual energy of the cluster members. In the next round, each non-cluster head node decides the cluster to which it will belong according to energy-distance function. The cluster head nodes send data to base station by the communication model of single hop and multi-hop that is decided according to the criterion of minimum energy consumption. In EBSC algorithm, the number of cluster head nodes generated in each round is very steady, and EBSC combines the advantage both distributed and centralized clustering algorithm. Experimental results show that the proposed routing algorithm not only efficiently uses limited energy of network nodes, but also well balances energy consumption of all nodes, and significantly prolongs network lifetime. Mon, 30 May 2011 00:00:00 +0300 Small Speed Asymptotic Stability Study of an Induction Motor Sensorless Speed Control System with Extended Gopinath Observer http://dx.doi.org/10.4316/aece.2011.02003 http://dx.doi.org/10.4316/aece.2011.02003 T., PANA, O., STOICUTA, The paper presents a synthesis of an extended Gopinath observer (EGO) and analyzes the asymptotic stability of a squirrel-cage induction motor vector control system with an EGO in its loop. The considered control system is based on the direct rotor flux orientation method (DFOC) and the study of stability is based upon the linearization theorem applied around the equilibrium points of the control system, emphasizing the estimated variation domain of the rotor resistance for which the control system remains asymptotically stable. Mon, 30 May 2011 00:00:00 +0300 A New Method for Detection and Evaluation of Winding Mechanical Faults in Transformer through Transfer Function Measurements http://dx.doi.org/10.4316/aece.2011.02004 http://dx.doi.org/10.4316/aece.2011.02004 M., BIGDELI, M., VAKILIAN, E., RAHIMPOUR, Transfer function (TF) is an acknowledged method for power transformer mechanical faults detection. However the past published works mostly discovered how to specify the faults levels and paid less attention to detection of the type of faults using comparison of TFs. whereas, it seems important for most of the applications to specify the type of fault without opening the unit. This paper presents a new method based on vector fitting (VF) to compare the TFs and specify the type, level and location of the fault. For development of the method, and its verification the required measurements are carried out on four model transformers; under intact condition, and under different fault conditions (axial displacement, radial deformation, disc space variation and short circuit of winding) and the TFs are determined. Employing VF, the coefficients of TFs are determined with the required accuracy. Using those coefficients, a new index is introduced to specify the type, level and location of the fault in the winding. Convincingly good results were obtained. Therefore it is believed that this finding could be helpful in fault diagnosis in actual power transformer windings. Mon, 30 May 2011 00:00:00 +0300 A New Asymmetrical Current-fed Converter with Voltage Lifting http://dx.doi.org/10.4316/aece.2011.02005 http://dx.doi.org/10.4316/aece.2011.02005 M., DELSHAD, This paper presents a new zero voltage switching current-fed DC-DC converter with high voltage gain. In this converter all switches (main and auxiliary) turn on under zero voltage switching and turn off under almost zero voltage switching due to snubber capacitor. Furthermore, the voltage spike across the main switch due to leakage inductance of forward transformer is absorbed. The flyback transformer which is connected to the output in series causes to high voltage gain and less voltage stress on the power devices. Considering high efficiency and voltage gain of this converter, it is suitable for green generated systems such as fuel cells or photovoltaic systems. The presented experimental results verify the integrity of the proposed converter. Mon, 30 May 2011 00:00:00 +0300 Improving the Delay of Residue-to-Binary Converter for a Four-Moduli Set http://dx.doi.org/10.4316/aece.2011.02006 http://dx.doi.org/10.4316/aece.2011.02006 A. S., MOLAHOSSEINI, The residue number system (RNS) is an unconventional number system which can be used to achieve high-performance hardware implementations of special-purpose computation systems such as digital signal processors. The moduli set {2n-1, 2n, 2n+1, 22n+1-1} has been recently suggested for RNS to provide large dynamic range with low-complexity, and enhancing the speed of internal RNS arithmetic circuits. But, the residue-to-binary converter of this moduli set relies on high conversion delay. In this paper, a new residue-to-binary converter for the moduli set {2n-1, 2n, 2n+1, 22n+1-1} using an adder-based implementation of new Chinese remainder theorem-1 (CRT-I) is presented. The proposed converter is considerably faster than the original residue-to-binary converter of the moduli set {2n-1, 2n, 2n+1, 22n+1-1}; resulting in decreasing the total delay of the RNS system. Mon, 30 May 2011 00:00:00 +0300 Voltage Sags Matching to Locate Faults for Underground Distribution Networks http://dx.doi.org/10.4316/aece.2011.02007 http://dx.doi.org/10.4316/aece.2011.02007 H., MOKHLIS, H., MOHAMAD, H., LI, A. H. A., BAKAR, A voltage sags matching to locate a fault for underground distribution network is presented in this paper. Firstly the method identifies the faulted section by matching a voltage sags measured at the primary substation during a fault with pre-developed voltage sag database. From the identified faulted section, the distance of a fault from sending-end is calculated. The problem of multiple sections is addressed by ranking approach. Test results on an underground distribution network shows most faults can be located by the first attempt within high accuracy distance. Only few faulted sections found by the second attempt. Since the method is using only voltage sag data, monitored at the primary substation, the method is considers economical to be implemented for a rural distribution network. Mon, 30 May 2011 00:00:00 +0300 Variable Power, Short Microwave Pulses Generation using a CW Magnetron http://dx.doi.org/10.4316/aece.2011.02008 http://dx.doi.org/10.4316/aece.2011.02008 V., SURDUCAN, E., SURDUCAN, R., CIUPA, Fine control of microwave power radiation in medical and scientific applications is a challenging task. Since a commercial Continuous Wave (CW) magnetron is the most inexpensive microwave device available today on the market, it becomes the best candidate for a microwave power generator used in medical diathermy and hyperthermia treatments or high efficiency chemical reactions using microwave reactors as well. This article presents a new method for driving a CW magnetron with short pulses, using a modified commercial Zero Voltage Switching (ZVS) inverter, software driven by a custom embedded system. The microwave power generator designed with this method can be programmed for output microwave pulses down to 1% of the magnetron's power and allows microwave low frequency pulse modulation in the range of human brain electrical activity, intended for medical applications. Microwave output power continuous control is also possible with the magnetron running in the oscillating area, using a dual frequency Pulse Width Modulation (PWM), where the low frequency PWM pulse is modulating a higher resonant frequency required by the ZVS inverter's transformer. The method presented allows a continuous control of both power and energy (duty-cycle) at the inverter's output. Mon, 30 May 2011 00:00:00 +0300 Wavelet-analysis for Laser Images of Blood Plasma http://dx.doi.org/10.4316/aece.2011.02009 http://dx.doi.org/10.4316/aece.2011.02009 Y. O., USHENKO, Y. Y., TOMKA, O. V., DUBOLAZOV, V. O., BALANETSKA, A. V., KARACHEVTSEV, A.-P., ANGELSKY, The possibilities of the local wavelet-analysis of polarization-inhomogeneous laser image of human blood plasma were considered. The set of statistics, correlation and fractal parameters of the distributions of wavelet-coefficients that are characterize different scales of the polarization maps of polycrystalline networks of amino acids of blood plasma were defined. The criteria for the differentiation of the transformation of birefringence optical-anisotropic structures of blood plasma at different scales of their geometric dimensions were determined. Mon, 30 May 2011 00:00:00 +0300 Accurate Analytical Multiple-Access Performance of Time-Hopping Biorthogonal PPM IR-UWB Systems http://dx.doi.org/10.4316/aece.2011.02010 http://dx.doi.org/10.4316/aece.2011.02010 M., HERCEG, R., GRBIC, T., SVEDEK, In this paper, the characteristic function (CF) method is used to derive the symbol error rate (SER) expression for time-hopping impulse radio ultra-wideband (TH-IR-UWB) systems with a biorthogonal pulse position modulation (BPPM) scheme in the presence of a multi-user interference (MUI). The derived expression is validated with the Monte-Carlo simulation and compared with orthogonal PPM. Moreover, the analytical results are compared with the Gaussian approximation (GA) of MUI which is shown to be inaccurate for a medium and large signal-to-noise ratio (SNR). It is also shown that the BPPM scheme outperforms the PPM scheme for all SNR. At the end, the influence of different system parameters on the BPPM performance is analyzed. Mon, 30 May 2011 00:00:00 +0300 TCP Congestion Control for the Networks with Markovian Jump Parameters http://dx.doi.org/10.4316/aece.2011.02011 http://dx.doi.org/10.4316/aece.2011.02011 A. H., ABOLMASOUMI, H. R., MOMENI, This paper is concerned with the problem of TCP congestion control for the class of communication networks with random parameters. The linear dynamic model of TCP New Reno in congestion avoidance mode is considered which contains round trip delays in both state and input. The randomness of link capacity, round trip time delay and the number of TCP sessions is modeled with a continuous-time finite state Markov process. An Active Queue Management (AQM) technique is then used to adjust the queue level of the congested link to a predefined value. For this purpose, a dynamic output feedback controller with mode dependent parameters is synthesized to stochastically stabilize the TCP/AQM dynamics. The procedure of the control synthesis is implemented by solving a linear matrix inequality (LMI). The results are tested within a simulation example and the effectiveness of the proposed design method is verified. Mon, 30 May 2011 00:00:00 +0300 Power Grids' Dynamic Enlargement Calculus Using Petri Nets http://dx.doi.org/10.4316/aece.2011.02012 http://dx.doi.org/10.4316/aece.2011.02012 R., MUNTEANU, V., DUB, The robustness of power grids characterizes the behavior of grids in situations of serial failures and/or human errors. A coherent method of evaluating vulnerability is to quantify this attribute in terms of the scale-free graph theory. One way of increasing power grid robustness consists of adding new electric lines between the existing nodes. Once the target scale-free network is found, the real network must be enlarged to the graph of the target network. The choice of a reasonable solution is made difficult by the great number of topological solutions, because this number increases as the number of the network nodes becomes bigger. Thus, the first aim is to make an inventory of all these solutions. The second necessary step is to build correct algorithms able to find the nodes of the real grid which will be connected respecting economical criteria. In continuation of our previous research, our paper proposes a Petri net-based method of building all enlargement variants, starting from non-robust networks to the nearest free-scale, robust network. Starting from some distinctive characteristics of elementary enlargements introduced in our earlier works, this allows us to obtain a mathematically unique, robustness-oriented enlargement solution. Mon, 30 May 2011 00:00:00 +0300 Optimal Power Flow Control by Rotary Power Flow Controller http://dx.doi.org/10.4316/aece.2011.02013 http://dx.doi.org/10.4316/aece.2011.02013 A. M., HADDADI, A., KAZEMI, This paper presents a new power flow model for rotary power flow controller (RPFC). RPFC injects a series voltage into the transmission line and provides series compensation and phase shifting simultaneously. Therefore, it is able to control the transmission line impedance and the active power flow through it. An RPFC is composed mainly of two rotary phase shifting transformers (RPST) and two conventional (series and shunt) transformers. Structurally, an RPST consists of two windings (stator and rotor windings). The rotor windings of the two RPSTs are connected in parallel and their stator windings are in series. The injected voltage is proportional to the vector sum of the stator voltages and so its amplitude and angle are affected by the rotor position of the two RPSTs. This paper, describes the steady state operation and single-phase equivalent circuit of the RPFC. Also in this paper, a new power flow model, based on power injection model of flexible ac transmission system (FACTS) controllers, suitable for the power flow analysis is introduced. Proposed model is used to solve optimal power flow (OPF) problem in IEEE standard test systems incorporating RPFC and the optimal settings and location of the RPFC is determined. Mon, 30 May 2011 00:00:00 +0300 DSP Based Control Implementation of an AC/DC Converter with Improved Input Current Distortion http://dx.doi.org/10.4316/aece.2011.02014 http://dx.doi.org/10.4316/aece.2011.02014 P., WISUTMETHEEKORN, V., CHUNKAG, This paper presents a digital signal processor based control of an AC/DC converter with nearly unity power factor. Normally, the output voltage of a single-phase AC/DC converter comprises a voltage ripple with twice line-frequency. This affects the voltage control loop and leads to the converter input current distortion. The purposed method is designed to avoid the effect of the output voltage ripple. To verify the proposed control method, MATLAB/Simulink is used for system simulation. A hardware prototype is setup. A low cost digital signal processing chip dsPIC30F4011 is employed as a digital controller to control a CUK AC/DC converter. The converter specifications are 48V output voltage and 250W output power. From the simulation and the experimental results shown that the input current distortion of the purposed system is reduced and lower than the AC/DC converter that controlled by the conventional proportional-integral controller. Mon, 30 May 2011 00:00:00 +0300 A New Filter Design Method for Disturbed Multilayer Hopfield Neural Networks http://dx.doi.org/10.4316/aece.2011.02015 http://dx.doi.org/10.4316/aece.2011.02015 C. K., AHN, This paper investigates the passivity based filtering problem for multilayer Hopfield neural networks with external disturbance. A new passivity based filter design method for multilayer Hopfield neural networks is developed to ensure that the filtering error system is exponentially stable and passive from the external disturbance vector to the output error vector. The unknown gain matrix is obtained by solving a linear matrix inequality (LMI), which can be easily facilitated by using some standard numerical packages. An illustrative example is given to demonstrate the effectiveness of the proposed filter. Mon, 30 May 2011 00:00:00 +0300 Social Welfare Improvement by TCSC using Real Code Based Genetic Algorithm in Double-Sided Auction Market http://dx.doi.org/10.4316/aece.2011.02016 http://dx.doi.org/10.4316/aece.2011.02016 S. M. H., NABAVI, A., KAZEMI, M. A. S., MASOUM, This paper presents a genetic algorithm (GA) to maximize total system social welfare and alleviate congestion by best placement and sizing of TCSC device, in a double-sided auction market. To introduce more accurate modeling, the valve loading effects is incorporated to the conventional quadratic smooth generator cost curves. By adding the valve point effect, the model presents nondifferentiable and nonconvex regions that challenge most gradient-based optimization algorithms. In addition, quadratic consumer benefit functions integrated in the objective function to guarantee that locational marginal prices charged at the demand buses is less than or equal to DisCos benefit, earned by selling that power to retail customers. The proposed approach makes use of the genetic algorithm to optimal schedule GenCos, DisCos and TCSC location and size, while the Newton-Raphson algorithm minimizes the mismatch of the power flow equations. Simulation results on the modified IEEE 14-bus and 30-bus test systems (with/without line flow constraints, before and after the compensation) are used to examine the impact of TCSC on the total system social welfare improvement. Several cases are considered to test and validate the consistency of detecting best solutions. Simulation results are compared to solutions obtained by sequential quadratic programming (SQP) approaches. Mon, 30 May 2011 00:00:00 +0300 Energy Optimization of Field Oriented Six-Phase Induction Motor Drive http://dx.doi.org/10.4316/aece.2011.02017 http://dx.doi.org/10.4316/aece.2011.02017 A., TAHERI, A., RAHMATI, S., KABOLI, This paper deals with the efficiency optimization of Field Oriented Control (FOC) of a six-Phase Induction Motor (6PIM) by adaptive flux search control. The six-phase induction motor is supplied by Space Vector PWM (SVPWM) and voltage source inverter. Adaptive flux search controller is fast than ordinary search control technique and easy to implement. Adaptive flux Search Control (SC) technique decreases the convergence time by proper change of flux variation steps and increases accuracy of the SC technique. A proper loss model of 6PIM in conjunction with the proposed method is used. The six-phase induction machine has large zero sequence harmonic currents that can be reduced by SVPWM technique. Simulation and experimental results are carried out and they verify the effectiveness of the proposed approach. Mon, 30 May 2011 00:00:00 +0300 Induction Motor with Switchable Number of Poles and Toroidal Winding http://dx.doi.org/10.4316/aece.2011.02018 http://dx.doi.org/10.4316/aece.2011.02018 S., MIHAI, A., SIMION, L., LIVADARU, A., MUNTEANU, This paper presents a study of an induction motor provided with toroidal stator winding. The ring-type coils offer a higher versatility in obtaining a different number of pole pairs by means of delta/star and series/parallel connections respectively. As consequence, the developed torque can vary within large limits and the motor can be utilized for applications that require, for example, high load torque values for a short time. The study involves experimental tests and FEM simulation for an induction machine with three configurations of pole pairs. The conclusions attest the superiority of the toroidal winding for certain applications such as electric vehicles or lifting machines. Mon, 30 May 2011 00:00:00 +0300 Adaptive Non-singular Terminal Sliding Mode Control for DC-DC Converters http://dx.doi.org/10.4316/aece.2011.02019 http://dx.doi.org/10.4316/aece.2011.02019 L., FAN, Y., YU, DC-DC converters have some inherent characteristics such as high nonlinearity and time-variation, which often result in some difficulties in designing control schemes. An adaptive non-singular terminal sliding mode control method is presented in this paper. Non-singular terminal sliding mode control is used to make the converter reach steady state within a limited time, and an adaptive law is integrated to the non-singular terminal sliding mode control scheme to make the proposed control method have adaptive ability to disturbances, and overcome the limitation on non-singular terminal sliding mode control scheme caused by disturbance boundary value. Simulation results show the validity of this adaptive non-singular terminal sliding mode control approach. Mon, 30 May 2011 00:00:00 +0300 Some Observations on the Dielectric Breakdown and the Importance of Cavities in Insulating Materials used for Cables and Electrical Machines http://dx.doi.org/10.4316/aece.2011.02020 http://dx.doi.org/10.4316/aece.2011.02020 M. G., DANIKAS, A. D., KARLIS, Partial discharges (PD) contribute greatly to the ageing and the breakdown of solid insulating materials. In the present paper, some conductivity measurements are performed relating the conductivity of inner walls of an enclosed cavity to the behaviour of PD in the case of polyethylene and of epoxy resin. The temporary decrease of the PD magnitude is explained in terms of the increase of the cavity inner wall conductivity. The PD behaviour is studied in epoxy resin samples and is explained with the aid of Pedersen's model. Scanning Electron Microscope (SEM) photographs indicate the sort of damage suffered by the cavity walls under electrical stress. Mon, 30 May 2011 00:00:00 +0300 Stray Capacitance Calculation of a Magneto Cumulative Generator Coil with Round Conductor http://dx.doi.org/10.4316/aece.2011.02021 http://dx.doi.org/10.4316/aece.2011.02021 M. R., BESMI, M. E., MOSLEH, This paper presents a new method to calculate stray capacitance between conductor wire filaments. The new proposed method is called vespiary regular hexagonal (VRH) model. In this paper conductor of magneto cumulative generator (MCG) coil has a multilayer wire. So the proposed model is used to calculate stray capacitance between two adjacent wire filaments (WFs) and capacitance between the wire filaments and central cylindrical liner in one turn of coil (OTC). The presented method in this paper is based on an analytical method and geometrical structure. In one turn of coil, the wire filaments in VRH method are separated into many very small similar elementary cells. In this structure, an equilateral lozenge-shape basic cell (ELBC) with two trapezium-shape regions has been considered between two adjacent wire filaments. This method is applied to calculate the total stray capacitance of N-turns of coil (NTC) with multi WFs in round cross-section. Simulation results show that the proposed method is very useful for designing a geometrical structure of the MCG coil. Mon, 30 May 2011 00:00:00 +0300 Capacity Approximations for a Deterministic MIMO Channel http://dx.doi.org/10.4316/aece.2011.03001 http://dx.doi.org/10.4316/aece.2011.03001 I. S., MOSKOWITZ, P., COTAE, M. H., KANG, P. N., SAFIER, In this paper, we derive closed form approximations for the capacity of a point-to-point, deterministic Gaussian MIMO communication channel. We focus on the behavior of the inverse eigenvalues of the Gram matrix associated with the gain matrix of the MIMO channel, by considering small variance and large power assumptions. We revisit the concept of deterministic MIMO capacity by pointing out that, under transmitter power constraint, the optimal transmit covariance matrix is not necessarily diagonal. We discuss the water filling algorithm for obtaining the optimal eigenvalues of the transmitter covariance matrix, and the water fill level in conjunction with the Karush-Kuhn-Tucker optimality conditions. We revise the Telatar conjecture for the capacity of a non-ergodic channel. We also provide deterministic examples and numerical simulations of the capacity, which are discussed in terms of our mathematical framework. Wed, 31 Aug 2011 00:00:00 +0300 An Optimal Spectrum Handoff Scheme for Cognitive Radio Mobile Ad Hoc Networks http://dx.doi.org/10.4316/aece.2011.03002 http://dx.doi.org/10.4316/aece.2011.03002 J., DUAN, Y., LI, Spectrum handoff procedures occur when the primary users appear in the licensed band temporary occupied by the cognitive radio (CR) users and aim to help the CR users to vacate the spectrum rapidly and find available channel to resume the transmission. However, a spectrum handoff scheme that comprehensively considers channel selection, handoff decision as well as space domain handoff is yet undeveloped. In this paper we present a complete optimal spectrum handoff scheme for cognitive radio mobile ad hoc networks. First, we design a spectrum selection mechanism to allow CR users optimally choose the appropriate channel. The spectrum idleness prediction algorithm is utilized based on developing a cooperative spectrum searching approach. Through combining the estimated transmission time, the PU appearance probability and the mean spectrum availability time are integrated to develop the optimal spectrum handoff scheme. Moreover, as one part of the proposed scheme, a geo-location approach is utilized to deal with the space domain handoff. The complete scheme is evaluated through a comprehensive simulation study, and results reveal significant improvements in handoff times and transmission efficiency over conventional approaches. Wed, 31 Aug 2011 00:00:00 +0300 Fault Tolerant Neural Network for ECG Signal Classification Systems http://dx.doi.org/10.4316/aece.2011.03003 http://dx.doi.org/10.4316/aece.2011.03003 M., MERAH, A., OUAMRI, A., NAIT-ALI, M., KECHE, The aim of this paper is to apply a new robust hardware Artificial Neural Network (ANN) for ECG classification systems. This ANN includes a penalization criterion which makes the performances in terms of robustness. Specifically, in this method, the ANN weights are normalized using the auto-prune method. Simulations performed on the MIT - BIH ECG signals, have shown that significant robustness improvements are obtained regarding potential hardware artificial neuron failures. Moreover, we show that the proposed design achieves better generalization performances, compared to the standard back-propagation algorithm. Wed, 31 Aug 2011 00:00:00 +0300 Evaluating GPS Data in Indoor Environments http://dx.doi.org/10.4316/aece.2011.03004 http://dx.doi.org/10.4316/aece.2011.03004 H., MOTTE, J., WYFFELS, L., DE STRYCKER, J.-P., GOEMAERE, With the latest generation of ultra-sensitive GPS-receivers, satellite signals can often be picked up even indoors, resulting in (inaccurate) indoor GPS-localization. A covered position will therefore no longer be characterized by the absence of satellite signals, creating the need for another way of categorizing this data as potentially inaccurate. This paper describes the use of GPS-based localization in an indoor environment. Only high level, generally available, GPS-data (NMEA-0183 GNSS-subset) are taken into account. Applications of ubiquitous location awareness, where the use of several RTLS (Real Time Location System) combinations is feasible, may benefit from this information to discriminate between GPS and other available localization data. A quality indicating parameter is readily available in GPS-data; the DOP (Dilution Of Precision) data field, which indicates the accuracy of the GPS localization based on the current satellite geometry. However since in indoor environments the roof and possible overlying floors often cause more signal attenuation compared to (outer) walls or windows, the probability of a better reception of 'low' orbiting satellite signals increases, giving rise to an unjustified good horizontal DOP value. Standard NMEA-0183 GPS strings are therefore analyzed in search of other indicators for malicious GPS-data. Wed, 31 Aug 2011 00:00:00 +0300 The Hybrid Method for On-line Harmonic Analysis http://dx.doi.org/10.4316/aece.2011.03005 http://dx.doi.org/10.4316/aece.2011.03005 J. M., KNEZEVIC, V. A., KATIC, The novel hybrid method of the Discrete Fourier Transform (DFT) and the Enhanced Phase-Locked Loop (EPLL) has been presented. The original well-known methods and the Hybrid method have been analysed and tested in several simulations and experiments. The methods are implemented on the Digital Signal Processor and compared in a real time power quality application. Although it requires a bit higher computational effort, the Hybrid method compared to original methods shows advantages for on-line harmonic analysis. Wed, 31 Aug 2011 00:00:00 +0300 A Combined Feedback and Noise Cancellation Algorithm for Binaural Hearing Aids http://dx.doi.org/10.4316/aece.2011.03006 http://dx.doi.org/10.4316/aece.2011.03006 H.-W., LEE, M.-Y., JEON, This paper proposes an adaptive algorithm for the combined acoustic feedback and noise cancellation in the binaural hearing aids. The proposed algorithm is based on dual microphones for feedback cancellation and the beamforming method for noise cancellation. The coefficients of feedback canceller are updated after subtracting the speech signal from the input signal by dual microphones. And the noise canceller reduces the noise signal in the residual signal excluding the speech by the beamforming method. Firstly, the feedback canceller operates to cancel the feedback signal in the microphone signal, and then the noise canceller operates to reduce the noise in the residual signal. Also, to assure the stable convergence of binaural hearing aids in the training mode, the coefficients of the left hearing aid are firstly updated, then the coefficients of the right hearing aid are updated. In the normal mode, the feedback and the noise canceller are operated without updating coefficients except an unstable case. To verify performances of the proposed algorithm, we analyzed its convergence behavior and simulated for real speech. From the results of simulations, it was proved that we can advance 14.43dB SFR(speech-to-feedback ratio) on average in the feedback canceller, 10.19dB SNR(speech-to-noise ratio) improvement on average in the noise canceller, in the case of applying the proposed algorithm. Wed, 31 Aug 2011 00:00:00 +0300 Self-Organizing Maps For Identifying Impaired Speech http://dx.doi.org/10.4316/aece.2011.03007 http://dx.doi.org/10.4316/aece.2011.03007 O., GRIGORE, V., VELICAN, This paper presents a method of identifying heavily impaired pronunciations of 'r' consonant in Romanian language using Kohonen neural networks. The study focused on words that contain 'r' as the first letter and used signals recorded mainly from children, as mispronunciations occur most of the time at young age persons. Parameters of the alternating component of each speech sample's envelope are used as feature vectors in the classification stage. Wed, 31 Aug 2011 00:00:00 +0300 Practical Evaluation of Stateful NAT64/DNS64 Translation http://dx.doi.org/10.4316/aece.2011.03008 http://dx.doi.org/10.4316/aece.2011.03008 N., SKOBERNE, M., CIGLARIC, It is often suggested that the approach to IPv6 transition is dual-stack deployment; however, it is not feasible in certain environments. As Network Address Translation -- Protocol Translation (NAT-PT) has been deprecated, stateful NAT64 and DNS64 RFCs have been published, supporting only IPv6-to-IPv4 translation scenario. Now the question of usability in the real world arises. In this paper, we systematically test a number of widely used application-layer network protocols to find out how well they traverse Ecdysis, the first open source stateful NAT64 and DNS64 implementation. We practically evaluated 18 popular protocols, among them HTTP, RDP, MSNP, and IMAP, and discuss the shortcomings of such translations that might not be apparent at first sight. Wed, 31 Aug 2011 00:00:00 +0300 Alleviating Border Effects in Wavelet Transforms for Nonlinear Time-varying Signal Analysis http://dx.doi.org/10.4316/aece.2011.03009 http://dx.doi.org/10.4316/aece.2011.03009 H., SU, Q., LIU, J., LI, Border effects are very common in many finite signals analysis and processing approaches using convolution operation. Alleviating the border effects that can occur in the processing of finite-length signals using wavelet transform is considered in this paper. Traditional methods for alleviating the border effects are suitable to compression or coding applications. We propose an algorithm based on Fourier series which is proved to be appropriate to the application of time-frequency analysis of nonlinear signals. Fourier series extension method preserves the time-varying characteristics of the signals. A modified signal duration expression for measuring the extent of border effects region is presented. The proposed algorithm is confirmed to be efficient to alleviate the border effects in comparison to the current methods through the numerical examples. Wed, 31 Aug 2011 00:00:00 +0300 ADPCM Using a Second-order Switched Predictor and Adaptive Quantizer http://dx.doi.org/10.4316/aece.2011.03010 http://dx.doi.org/10.4316/aece.2011.03010 V., DESPOTOVIC, Z., PERIC, Adaptive differential pulse code modulation (ADPCM) with forward gain-adaptive quantizer and second-order switched predictor based on correlation is presented in this article. Predictor consists of a bank of predetermined predictors for each block of speech samples, avoiding the need to solve, or quantize predictor coefficients during the coding process. The adaptation consists of switching to one of this predictors based on the values of the first and second order correlation coefficients. The theoretical model is generalization of the DPCM with the first order switched predictor for an arbitrary prediction order. Experimental results for ADPCM with the second-order four/eight state switched prediction based on correlation are provided. Wed, 31 Aug 2011 00:00:00 +0300 Wind Generators Test Bench. Optimal Design of PI Controller http://dx.doi.org/10.4316/aece.2011.03011 http://dx.doi.org/10.4316/aece.2011.03011 T., TUDORACHE, V., BOSTAN, This paper proposes a novel and robust strategy for the optimal design of the drive system integrated in a wind generators test bench. The PI regulator coefficients used in control systems are usually computed based on simplified hypotheses and then tuned manually so as the system response meet certain specifications in terms of stability, accuracy and speed. The proposed methodology permits the automatic identification of PI regulator coefficients using intelligent optimization algorithms, the initial guess for the search procedure being determined based on particular simplified hypotheses. The proposed procedure can help the design engineers to drastically reduce the effort for finding the best PI regulator coefficients offering a range of feasible solutions depending on the imposed optimum criteria. The characteristics and performances of the optimization strategy are highlighted by using it for the design of a DC motor drive system used to simulate the wind prime mover integrated in a wind generators test bench. Wed, 31 Aug 2011 00:00:00 +0300 An Effective Distributed Model for Power System Transient Stability Analysis http://dx.doi.org/10.4316/aece.2011.03012 http://dx.doi.org/10.4316/aece.2011.03012 B. M., MUTHU, R., VEILUMUTHU, L., PONNUSAMY, The modern power systems consist of many interconnected synchronous generators having different inertia constants, connected with large transmission network and ever increasing demand for power exchange. The size of the power system grows exponentially due to increase in power demand. The data required for various power system applications have been stored in different formats in a heterogeneous environment. The power system applications themselves have been developed and deployed in different platforms and language paradigms. Interoperability between power system applications becomes a major issue because of the heterogeneous nature. The main aim of the paper is to develop a generalized distributed model for carrying out power system stability analysis. The more flexible and loosely coupled JAX-RPC model has been developed for representing transient stability analysis in large interconnected power systems. The proposed model includes Pre-Fault, During-Fault, Post-Fault and Swing Curve services which are accessible to the remote power system clients when the system is subjected to large disturbances. A generalized XML based model for data representation has also been proposed for exchanging data in order to enhance the interoperability between legacy power system applications. The performance measure, Round Trip Time (RTT) is estimated for different power systems using the proposed JAX-RPC model and compared with the results obtained using traditional client-server and Java RMI models. Wed, 31 Aug 2011 00:00:00 +0300 Application of Rosette Pattern for Clustering and Determining the Number of Cluster http://dx.doi.org/10.4316/aece.2011.03013 http://dx.doi.org/10.4316/aece.2011.03013 A., SADR, A. K., MOMTAZ, Clustering is one of the most important research topics which has many practical applications such as medical imaging and Non-Destructive Testing (NDT). Most clustering algorithms like K-means, fuzzy C-Means (FCM) and their derivatives require the number of clusters as one of the initializing parameters. This paper proposes an algorithm for image clustering with no need to any initializing parameter. In this state-of-the-art, an image is sampled based on a rosette pattern and according to the pattern characteristics, the extracted samples are clustered and then the number of clusters is determined. The centroids of classes are computed by means of a method based on calculation of distribution function. Based on different data sets, the results show that the algorithm improves the capability of the clustering by a minimum of 62.26% and 87.62% in comparison with FCM and K-means algorithms, respectively. Moreover, in dealing with high resolution data sets, the efficiency of the algorithm in clusters detection and run time improvement increases considerably. Wed, 31 Aug 2011 00:00:00 +0300 Content-Based Image Retrieval Method using the Relative Location of Multiple ROIs http://dx.doi.org/10.4316/aece.2011.03014 http://dx.doi.org/10.4316/aece.2011.03014 J., LEE, J., NANG, Recently the method of specifying multiple regions of interest (ROI) based image retrieval has been suggested. However it measures the similarity of the images without proper consideration of the spatial layouts of the ROIs and thus fails to accurately reflect the intent of the user. In this paper, we propose a new similarity measurement using the relative layouts of the ROIs. The proposed method divides images into blocks of certain size and extracted MPEG-7 dominant colors from the blocks overlapping with the user-designated ROIs to measure their similarities with the target images. At this point, similarity was weighted when the relative location of the ROIs in the query image and the target image was the same. The relative location was calculated by four directions (i.e. up, down, left and right) of the basis ROI. The proposed method by an experiment using MPEG-7 XM shows that its performance is higher than the global image retrieval method or the retrieval method that does not consider the relative location of ROIs. Wed, 31 Aug 2011 00:00:00 +0300 Codebook Generation Using Partition and Agglomerative Clustering http://dx.doi.org/10.4316/aece.2011.03015 http://dx.doi.org/10.4316/aece.2011.03015 C.-T., CHANG, J. Z. C., LAI, M.-D., JENG, In this paper, we present a codebook generation algorithm to produce a codebook with lower distortion. Our method combines a fast codebook generation algorithm (CGAUCD) with doubling technique and fast agglomerative clustering algorithm (FACA) to generate a codebook with less computing time and lower distortion. Instead of using FACA directly to divide training vectors into M clusters, our proposed method first generates qM clusters from these training vectors, where q>1 is an integer, and then applies FACA to merge these qM clusters into M cells. This is due to the computational complexity of CGAUCD with doubling technique is less than that of FACA. These M cluster centers are used as the initial codebook for CGAUCD. Using three real images as the training set, our method can reduce the MSE and computing time of FPNN+CGAUCD, which is the available best method to our knowledge, by 0.19 to 0.38 and 74.6% to 84.3%, respectively. Wed, 31 Aug 2011 00:00:00 +0300 Visualization of Segmented Structures in 3D Multimodal Medical Data Sets http://dx.doi.org/10.4316/aece.2011.03016 http://dx.doi.org/10.4316/aece.2011.03016 P., HERGHELEGIU, M., GAVRILESCU, V., MANTA, The simultaneous inspection of images obtained using different medical scanning methods represents a common practice for accurate medical diagnosis. The term multimodality refers to multiple medical data sets obtained by scanning a patient with the same method at different time moments or with different scanning techniques. Recent research efforts in computer graphics have attempted to solve the problem of visualizing multimodal data in the same scene, for a better understanding of human anatomy or for pathology tracking. This paper proposes a method of integrating segmented structures from a contrast enhanced MRI sequence into the volume reconstructed from the slices of another MRI sequence obtained with different scanning parameters. A direct volume rendering (DVR) approach is used to represent focus and context information from the 3D data. The presented approach aims to help physicians in understanding pathologies and in the process of accurate diagnosis establishment. Wed, 31 Aug 2011 00:00:00 +0300 Applying of an Ontology based Modeling Approach to Cultural Heritage Systems http://dx.doi.org/10.4316/aece.2011.03017 http://dx.doi.org/10.4316/aece.2011.03017 D.-M., POPOVICI, C.-M., BOGDAN, M., POLCEANU, R., QUERREC, Any virtual environment (VE) built in a classical way is dedicated to a very specific domain. Its modification or even adaptation to another domain requires an expensive human intervention measured in time and money. This way, the product, that means the VE, returns at the first phases of the development process. In a previous work we proposed an approach that combines domain ontologies and conceptual modeling to construct more accurate VEs. Our method is based on the description of the domain knowledge in a standard format and the assisted creation (using these pieces of knowledge) of the VE. This permits the explanation within the virtual reality (VR) simulation of the semantic of the whole context and of each object. This knowledge may be then transferred to the public users. In this paper we prove the effectiveness of our method on the construction process of an VE that simulates the organization of a Greek-Roman colony situated on the Black Sea coast and the economic and social activities of its people. Wed, 31 Aug 2011 00:00:00 +0300 Digital filter optimization for C language http://dx.doi.org/10.4316/aece.2011.03018 http://dx.doi.org/10.4316/aece.2011.03018 A., BARLEANU, V., BAITOIU, A., STAN, A method for transforming C code with floating-point values into C code with integer variables is developed. The objective is to avoid any operations with floating-point data types, thereby increasing the execution speed of the program on a microprocessor without a math coprocessor. The original C code must be a dot product with floating-point literals and integer variables with known interval bounds. The transformation algorithm remodels the dot product form into a tree structure, to maximize the accuracy, but, on the other side, keeps the number of shift operations reduced. The integer code that is generated is ANSI C compliant. It is tested on 8-bit and 32-bit microprocessors using different compilers. The results show that the integer code is several times faster than the floating-point code, the only loss being a very low accuracy drop. Wed, 31 Aug 2011 00:00:00 +0300 Accurate Modeling of a Transverse Flux Permanent Magnet Generator Using 3D Finite Element Analysis http://dx.doi.org/10.4316/aece.2011.03019 http://dx.doi.org/10.4316/aece.2011.03019 S., HOSSEINI, J. S., MOGHANI, B. B., JENSEN, This paper presents an accurate modeling method that is applied to a single-sided outer-rotor transverse flux permanent magnet generator. The inductances and the induced electromotive force for a typical generator are calculated using the magnetostatic three-dimensional finite element method. A new method is then proposed that reveals the behavior of the generator under any load. Finally, torque calculations are carried out using three dimensional finite element analyses. It is shown that although in the single-phase generator the cogging torque is very high, this can be improved significantly by combining three single-phase modules into a three-phase generator. Wed, 31 Aug 2011 00:00:00 +0300 Line Spectral Frequency-based Noise Suppression for Speech-Centric Interface of Smart Devices http://dx.doi.org/10.4316/aece.2011.04001 http://dx.doi.org/10.4316/aece.2011.04001 G. J., JANG, J. S., PARK, J. H., KIM, Y. H., SEO, This paper proposes a noise suppression technique for speech-centric interface of various smart devices. The proposed method estimates noise spectral magnitudes from line spectral frequencies (LSFs), using the observation that adjacent LSFs correspond to peak frequencies of spectrum, whereas isolated LSFs are close to flattened valley frequencies retaining noise components. Over a course of segmented time frames, the logarithms of spectral magnitudes at respective LSFs are computed, and their distribution is then modeled by the Rayleigh probability density function. The standard deviation from the Rayleigh function approximates the noise spectral magnitude. The model is updated at every frame in an online manner so that it can deal with real-time inputs. Once the noise spectral magnitude is estimated, a time-domain Wiener filter is derived for the suppression of the estimated noise spectral magnitude, and this is then applied to the input noisy speech signals. Our proposed approach operates well on most smart devices owing to its low computational complexity and real-time implementation. Speech recognition experiments, conducted to evaluate the proposed technique, show that our method exhibits superior performance, with less distortion of original speech, when compared to conventional noise suppression techniques. Wed, 30 Nov 2011 00:00:00 +0200 FEM-based Analysis of a Hybrid Synchronous Generator with Skewed Stator Slots http://dx.doi.org/10.4316/aece.2011.04002 http://dx.doi.org/10.4316/aece.2011.04002 A., MALANCIUC, A., SIMION, L., LIVADARU, A., MUNTEANU, C., AFANASOV, The paper presents a simulation study of a hybrid synchronous generator (dual excitation system - permanent magnets and electromagnets) with skewed stator slots. The main goal is to establish if the skewing of the slots brings a significant improvement of the air-gap flux density and of the induced stator voltage. The skewness angle is the parameter in discussion. The study is based on finite element method analysis. Due to the particular geometry of the stator slots, a multilayer approach is employed. Wed, 30 Nov 2011 00:00:00 +0200 Robust Stereo-Vision Based 3D Object Reconstruction for the Assistive Robot FRIEND http://dx.doi.org/10.4316/aece.2011.04003 http://dx.doi.org/10.4316/aece.2011.04003 D., RISTIC-DURRANT, S. M., GRIGORESCU, A., GRASER, Z., COJBASIC, V., NIKOLIC, A key requirement of assistive robot vision is the robust 3D object reconstruction in complex environments for reliable autonomous object manipulation. In this paper the idea is presented of achieving high robustness of a complete robot vision system against external influences such as variable illumination by including feedback control of the object segmentation in stereo images. The approach used is to change the segmentation parameters in closed-loop so that object features extraction is driven to a desired result. Reliable feature extraction is necessary to fully exploit a neuro-fuzzy classifier which is the core of the proposed 2D object recognition method, predecessor of 3D object reconstruction. Experimental results on the rehabilitation assistive robotic system FRIEND demonstrate the effectiveness of the proposed method. Wed, 30 Nov 2011 00:00:00 +0200 PID Neural Network Based Speed Control of Asynchronous Motor using Programmable Logic Controller http://dx.doi.org/10.4316/aece.2011.04004 http://dx.doi.org/10.4316/aece.2011.04004 V. A., MARABA, A. E., KUZUCUOGLU, This paper deals with the structure and characteristics of PID Neural Network controller for single input and single output systems. PID Neural Network is a new kind of controller that includes the advantages of artificial neural networks and classic PID controller. Functioning of this controller is based on the update of controller parameters according to the value extracted from system output pursuant to the rules of back propagation algorithm used in artificial neural networks. Parameters obtained from the application of PID Neural Network training algorithm on the speed model of the asynchronous motor exhibiting second order linear behavior were used in the real time speed control of the motor. Programmable logic controller (PLC) was used as real time controller. The real time control results show that reference speed successfully maintained under various load conditions. Wed, 30 Nov 2011 00:00:00 +0200 A Neuron Model for FPGA Spiking Neuronal Network Implementation http://dx.doi.org/10.4316/aece.2011.04005 http://dx.doi.org/10.4316/aece.2011.04005 L., TIGAERU, G., BONTEANU, We propose a neuron model, able to reproduce the basic elements of the neuronal dynamics, optimized for digital implementation of Spiking Neural Networks. Its architecture is structured in two major blocks, a datapath and a control unit. The datapath consists of a membrane potential circuit, which emulates the neuronal dynamics at the soma level, and a synaptic circuit used to update the synaptic weight according to the spike timing dependent plasticity (STDP) mechanism. The proposed model is implemented into a Cyclone II-Altera FPGA device. Our results indicate the neuron model can be used to build up 1K Spiking Neural Networks on reconfigurable logic suport, to explore various network topologies. Wed, 30 Nov 2011 00:00:00 +0200 Design of Piecewise Uniform Scalar Quantizer with Geometric Progression of Segment Width http://dx.doi.org/10.4316/aece.2011.04006 http://dx.doi.org/10.4316/aece.2011.04006 Z., PERIC, J., NIKOLIC, In this paper, the design procedure of the piecewise uniform scalar quantizer having segments with widths that form a geometric progression is presented. The proposed quantizer design optimization for the Laplacian source of the unit variance is performed by optimizing the distortion in respect to the support region threshold and the scaling factor which defines the geometric progression of the consecutive segment widths. For the proposed quantizer model and its forward adaptive version, the signal to quantization noise ratio robustness analysis in a wide variance range is also presented in the paper. Regarding the performance comparision of the proposed quantizer, the uniform quantizer and the G.711 quantizer, the conclusion of the proposed quantizer significance is distinctly shown in the paper. Wed, 30 Nov 2011 00:00:00 +0200 An Optimal Initial Partitioning of Large Data Model in Utility Management Systems http://dx.doi.org/10.4316/aece.2011.04007 http://dx.doi.org/10.4316/aece.2011.04007 D., CAPKO, A., ERDELJAN, M., POPOVIC, G., SVENDA, Modern Utility Management Systems which utilize multiprocessor systems for efficient processing of large data model are considered in this paper. The necessary preconditions for the efficient calculation are optimal load balancing of processors and data model partitioning among processors. The novel multilevel Super-Roots (SR) algorithm was developed to improve existing algorithms (e. i. METIS) for initial partitioning of data model. The proposed algorithms are applied on data model describing large electricity power distribution network. Experiments show that SR algorithm achieves better results than METIS multilevel algorithm in many cases. Wed, 30 Nov 2011 00:00:00 +0200 Low Complexity Encoder of High Rate Irregular QC-LDPC Codes for Partial Response Channels http://dx.doi.org/10.4316/aece.2011.04008 http://dx.doi.org/10.4316/aece.2011.04008 M., KUPIMAI, A., MEESOMBOON, V., IMTAWIL, High rate irregular QC-LDPC codes based on circulant permutation matrices, for efficient encoder implementation, are proposed in this article. The structure of the code is an approximate lower triangular matrix. In addition, we present two novel efficient encoding techniques for generating redundant bits. The complexity of the encoder implementation depends on the number of parity bits of the code for the one-stage encoding and the length of the code for the two-stage encoding. The advantage of both encoding techniques is that few XOR-gates are used in the encoder implementation. Simulation results on partial response channels also show that the BER performance of the proposed code has gain over other QC-LDPC codes. Wed, 30 Nov 2011 00:00:00 +0200 Automatic Tools for Diagnosis Support of Total Hip Replacement Follow-up http://dx.doi.org/10.4316/aece.2011.04009 http://dx.doi.org/10.4316/aece.2011.04009 L., FLOREA, C., FLOREA, C., VERTAN, A., SULTANA, Total hip replacement is a common procedure in today orthopedics, with high rate of long-term success. Failure prevention is based on a regular follow-up aimed at checking the prosthesis fit and state by means of visual inspection of radiographic images. It is our purpose to provide automatic means for aiding medical personnel in this task. Therefore we have constructed tools for automatic identification of the component parts of the radiograph, followed by analysis of interactions between the bone and the prosthesis. The results form a set of parameters with obvious interest in medical diagnosis. Wed, 30 Nov 2011 00:00:00 +0200 CHEERUP: A General Software-Environment for Building, Using and Administering Predictive Monitoring Portals http://dx.doi.org/10.4316/aece.2011.04010 http://dx.doi.org/10.4316/aece.2011.04010 S., MUSSI, The intended meaning of the term predictive monitoring used in the paper is the following. A population of subjects (living beings, machines, works of art, etc.) is monitored by a domain expert with regard to the possible occurrence of an undesired/desired event E. More precisely, an expert periodically (e.g. every two years, every week, etc. depending on the specific application) examines the single subjects and, for each of them, enters examination outcomes in a database where statistical data are automatically processed in order to produce probabilistic inferences about the occurrence in the future of E for the subject under examination (individualized prediction). This allows the expert to take suitable measures in advance in order to prevent/favour the occurrence of E for the subject. Such an approach to predictive monitoring requires that the expert who monitors subjects has at his/her disposal a suitable software system provided with database and algorithms for both properly managing monitoring-processes and producing probabilistic predictions. The paper presents CHEERUP : a prototype product, usable via Internet, that consists in a general software-environment for building, using and administering specific predictive monitoring software-systems (in the paper called portals). Wed, 30 Nov 2011 00:00:00 +0200 A Novel Algorithm to Perform Precalculated Tables for the Real-Time Image Processing: Illustration with Image Rotation http://dx.doi.org/10.4316/aece.2011.04011 http://dx.doi.org/10.4316/aece.2011.04011 Z., IRKI, M., DEVY, In this paper, we present an approach which makes uses of precalculated tables in order to carry out a real time image processing task. This approach is very useful when the relation between the input image and the output image (after treatment) is given in the backward direction (the input image is expressed using the output image). We illustrate this approach in the case of the rotation of an image around its center. We illustrate how theses precalculated tables should be built and the influence of some parameters on the size of theme. By the end, we discuss how this approach could be implemented on a reconfigurable hardware as an FPGA. Wed, 30 Nov 2011 00:00:00 +0200 Optimal Design Solutions for Permanent Magnet Synchronous Machines http://dx.doi.org/10.4316/aece.2011.04012 http://dx.doi.org/10.4316/aece.2011.04012 T., TUDORACHE, M., POPESCU, This paper presents optimal design solutions for reducing the cogging torque of permanent magnets synchronous machines. A first solution proposed in the paper consists in using closed stator slots that determines a nearly isotropic magnetic structure of the stator core, reducing the mutual attraction between permanent magnets and the slotted armature. To avoid complications in the windings manufacture technology the stator slots are closed using wedges made of soft magnetic composite materials. The second solution consists in properly choosing the combination of pole number and stator slots number that typically leads to a winding with fractional number of slots/pole/phase. The proposed measures for cogging torque reduction are analyzed by means of 2D/3D finite element models developed using the professional Flux software package. Numerical results are discussed and compared with experimental ones obtained by testing a PMSM prototype. Wed, 30 Nov 2011 00:00:00 +0200 Behavioral Model of Photovoltaic Panel in Simulink http://dx.doi.org/10.4316/aece.2011.04013 http://dx.doi.org/10.4316/aece.2011.04013 K., ZAPLATILEK, J., LEUCHTER, This article deals with creation and application of a model of photovoltaic panel in the MATLAB and Simulink environments. An original model of the real PV panel is applied using the model based design technique. A so-called physical model is also developed using the SimPowerSystems library. The described PV panel model is applied for maximum power optimization in the one-shot and the continuous modes. A few illustrating examples and source code parts are also presented. Wed, 30 Nov 2011 00:00:00 +0200 Potential Solar Irradiance Assessment based on a Digital Elevation Model http://dx.doi.org/10.4316/aece.2011.04014 http://dx.doi.org/10.4316/aece.2011.04014 C., NEMES, F., MUNTEANU, The sun is an extremely powerful energy source and solar radiation is by far the largest source of energy received by the earth. Assessment of solar radiation can be based upon measured data, where are available, or results of mathematical models. In this paper is presented a model, developed on the clear sky conditions, which allows calculation of solar radiation intensity at any location on the earth surface, considering the geographical coordinates of location and local time of every day of the year. Based on the SRTM database, in the paper it is developed a digital elevation model, which together with presented model allows computation of the potential of solar radiation over the Iasi county territory. For validation, the results have been compared with data obtained from SoDa project, the results from both database being fairly close, these proving satisfactory accuracy for a preliminary evaluation of solar radiation. Wed, 30 Nov 2011 00:00:00 +0200 Application of the Filippov Method for the Stability Analysis of a Photovoltaic System http://dx.doi.org/10.4316/aece.2011.04015 http://dx.doi.org/10.4316/aece.2011.04015 C., MOREL, D., PETREUS, A., RUSU, This paper describes bifurcation phenomena of a photovoltaic system. The studied photovoltaic (PV) system includes a solar panel, a boost converter, a maximum power point tracking (MPPT) controller and a storage device. Computer simulations are performed to capture the effects of variation of some chosen parameters on the qualitative behavior of the system. The impact of the maximum power point (MPP) current and voltage variations due to luminosity changes is determinate, as well as the load variation. The stability of the system is analyzed using the state transition matrix over one switching cycle (the monodromy matrix) including the state transition matrices during each switching (the saltation matrices). This investigation is important to predict nonlinear phenomena and for the components dimensioning for a proper functioning. Wed, 30 Nov 2011 00:00:00 +0200 Accelerating Solution Proposal of AES Using a Graphic Processor http://dx.doi.org/10.4316/aece.2011.04016 http://dx.doi.org/10.4316/aece.2011.04016 R. D., TOMOIAGA, M., STRATULAT, The main goal of this work is to analyze the possibility of using a graphic processing unit in non graphical calculations. Graphic Processing Units are being used nowadays not only for game engines and movie encoding/decoding, but also for a vast area of applications, like Cryptography. We used the graphic processing unit as a cryptographic coprocessor in order accelerate AES algorithm. Our implementation of AES is on a GPU using CUDA architecture. The performances obtained show that the CUDA implementation can offer speedups of 11.95Gbps. The tests are conducted in two directions: running the tests on small data sizes that are located in memory and large data that are stored in files on hard drives. Wed, 30 Nov 2011 00:00:00 +0200 Impact on Generator Reactive Power Limits on a Static Voltage Stability http://dx.doi.org/10.4316/aece.2011.04017 http://dx.doi.org/10.4316/aece.2011.04017 J. G., CALDERON-GUIZAR, E. A., TOVAR-GONZALEZ, Voltage stability margin in a power system is closely related with the availability of reactive power in the system. Therefore, adequate modeling of the reactive power sources becomes an important issue in this type of studies. The Minimum Singular Value of the load flow Jacobian matrix has been commonly used as a static voltage stability index. In this paper, such index is used to assess the influence on the static voltage stability limit of modeling the generators reactive power limits by its capability curve. Simulation results on a test system indicate that modeling the reactive power limits of the generating units by the simplified Qmin/Qmax approach, commonly used by most of the load flow programs, yields optimistic values for this voltage stability index. Wed, 30 Nov 2011 00:00:00 +0200 New Method to Detect Salient Objects in Image Segmentation using Hypergraph Structure http://dx.doi.org/10.4316/aece.2011.04018 http://dx.doi.org/10.4316/aece.2011.04018 E., GANEA, D. D., BURDESCU, M., BREZOVAN, This paper presents a method for detection of salient objects from images. The proposed algorithms for image segmentation and objects detection use a hexagonal representation of the image pixels and a hypergraph structure to process this hierarchal structure. The main goal of the method is to obtain salient regions, which may be associated with semantic labels. The designed algorithms use color characteristic and syntactic features for image segmentation. The object-oriented model used for storing the results of the segmentation and detection allows directly annotation of regions without a processing of these. The experiments showed that the presented method is robust and accurate comparing with others public methods used for salient objects detection. Wed, 30 Nov 2011 00:00:00 +0200 A Low Cost Approach to Large Smart Shelf Setups http://dx.doi.org/10.4316/aece.2011.04019 http://dx.doi.org/10.4316/aece.2011.04019 F., HREBENCIUC, N., STROIA, D., MOGA, Z., BARABAS, Recent years showed a growing interest in the use of RFID technology in applications like distribution and storage of goods, supply chain and inventory. This paper analyses the current smart shelf solutions and presents the experience of developing an automatic reading system for smart shelves. The proposed system addresses the problem of reading RFID tags from items placed on multiple shelves. It allows the use of standard low cost readers and tags and uses a single antenna that can be positioned in specific locations at repeatable positions. The system proposes an alternative to the approaches with multiple antennas placed in fixed position inside the shelf or around the shelves, offering a lower cost solution by means of dedicated electromechanical devices able to carry the antenna and the reader to the locations of interest along a rail system. Moreover, antenna position can be controlled for three axis of movement allowing for extra flexibility and complete coverage of the shelves. The proposed setup is a fully wireless one. It contains a standard reader, electromechanical positioning actuators and wireless communication and control hardware offering power from integrated batteries. Wed, 30 Nov 2011 00:00:00 +0200 Cluster-based Data Gathering in Long-Strip Wireless Sensor Networks http://dx.doi.org/10.4316/aece.2012.01001 http://dx.doi.org/10.4316/aece.2012.01001 W., FANG, S., LI, X., LIANG, Z., LI, This paper investigates a special class of wireless sensor networks that are different from traditional ones in that the sensor nodes in this class of networks are deployed along narrowly elongated geographical areas and form a long-strip topology. According to hardware capabilities of current sensor nodes, a cluster-based protocol for reliable and efficient data gathering in long-strip wireless sensor networks (LSWSN) is proposed. A well-distributed cluster-based architecture is first formed in the whole network through contention-based cluster head election. Cluster heads are responsible for coordination among the nodes within their clusters and aggregation of their sensory data, as well as transmission the data to the sink node on behalf of their own clusters. The intra-cluster coordination is based on the traditional TDMA schedule, in which the inter-cluster interference caused by the border nodes is solved by the multi-channel communication technique. The cluster reporting is based on the CSMA contention, in which a connected overlay network is formed by relay nodes to forward the data from the cluster heads through multi-hops to the sink node. The relay nodes are non-uniformly deployed to resolve the energy-hole problem which is extremely serious in the LSWSN. Extensive simulation results illuminate the distinguished performance of the proposed protocol. Tue, 28 Feb 2012 00:00:00 +0200 Wave Concept Iterative Method Validation for 2D Metallic Obstacles Scattering http://dx.doi.org/10.4316/aece.2012.01002 http://dx.doi.org/10.4316/aece.2012.01002 N., LUCANU, I. V., PLETEA, I., BOGDAN, H., BAUDRAND, The paper presents an application of the Wave Concept Iterative Process (WCIP) in the case of the study of the scattering of an electromagnetic plane wave by two metallic 2D obstacles. The application is made in order to validate the original method for two classical metallic obstacles diffraction. The case of an infinite circular cylinder is treated first. Modal and iterative convergences are studied. Current density is calculated and compared with the exact solution available for this particular case. The second studied obstacle is an infinite square section scattering obstacle. The 4 faces of the structure are studied independently, mutual influence being not taken into account. Current density results are presented and compared with those issued by the use of other scattering methods for several particular cases. Tue, 28 Feb 2012 00:00:00 +0200 Study of the communication distance of a MEMS Pressure Sensor Integrated in a RFID Passive Tag http://dx.doi.org/10.4316/aece.2012.01003 http://dx.doi.org/10.4316/aece.2012.01003 I., FERNANDEZ, A., ASENSIO, I., GUTIERREZ, J., GARCIA, I., REBOLLO, J., de NO, The performance of a MEMS (Micro Electro-Mechanical Systems) Sensor in a RFID system has been calculated, simulated and analyzed. It documents the viability - from the power consumption point of view - of integrating a MEMS sensor in a passive tag maintaining its long range. The wide variety of sensors let us specify as many applications as the imagination is able to create. The sensor tag works without battery, and it is remotely powered through a commercial reader accomplishing the EPC standard Class 1 Gen 2. The key point is the integration in the tag of a very low power consumption pressure MEMS sensor. The power consumption of the sensor is 12.5 uW. The specifically developed RFID CMOS passive module, with an integrated temperature sensor, is able to communicate up to 2.4 meters. Adding the pressure MEMS sensor - an input capacity, a maximum range of 2 meters can be achieved between the RFID sensor tag and a commercial reader (typical reported range for passive pressure sensors are in the range of a few centimeters). The RFID module has been fabricated with a CMOS process compatible with a bulk micromachining MEMS process. So, the feasibility of a single chip is presented. Tue, 28 Feb 2012 00:00:00 +0200 Universal Signal Conditioning System for Amperometric Sensors http://dx.doi.org/10.4316/aece.2012.01004 http://dx.doi.org/10.4316/aece.2012.01004 D. G., CRISTEA, M. E., BASCH, H., BEN-YOAV, V., TIPONUT, Y., SHACHAM-DIAMAND, In this article the research for developing whole-cell biochips has been presented using both bioluminescent and electrochemical methods. The research was on integrating an electrode cell with both electrochemical and bioluminescent detection using a single VLSI chip. The authors have investigated the signal conditioning system that can work with any kind of amperometric and bioluminescent sensor. During this research the authors focused on the analog front-end unit. The work includes investigating the electronic model for simulation for an electrochemical cell and conceiving a fully integrated 8X8 electrochemical sensor array. The authors are focusing on signal conditioning system and its functionality. The main concern for the authors was to maintain the complexity and the number of electronic devices as low as possible. Tue, 28 Feb 2012 00:00:00 +0200 Elitist Ant System with 2-opt Local Search for the Traveling Salesman Problem http://dx.doi.org/10.4316/aece.2012.01005 http://dx.doi.org/10.4316/aece.2012.01005 G., MARTINOVIC, D., BAJER, The Traveling Salesman Problem is one of the most famous problems in combinatorial optimization. The paper presents an algorithm based upon the elitist ant system for solving the traveling salesman problem. 2-opt local search is incorporated in the elitist ant system, and it is used for improvement of a given number of solutions previously constructed by artificial ants. A simple mechanism for avoiding a too early stagnation of the search is also proposed. The aforementioned is based on depositing strong pheromones on solution edges of randomly selected ants called random elitist ants. The aim is to encourage exploration in a greater area of the solution space. Experimental analysis shows how high-quality solutions can be achieved by using the considered algorithm instead of the usual elitist ant system with incorporated 2-opt local search. Tue, 28 Feb 2012 00:00:00 +0200 Cyber Physical Systems: A New Approach to Power Electronics Simulation, Control and Testing http://dx.doi.org/10.4316/aece.2012.01006 http://dx.doi.org/10.4316/aece.2012.01006 N. L., CELANOVIC, I. L., CELANOVIC, Z. R., IVANOVIC, This paper presents a Cyber Physical Systems approach to power electronics simulation, control and testing. We present a new framework based on generalized hybrid automaton and application specific ultra-low latency high-speed processor architecture that enables high fidelity real-time power electronics model computation. To illustrate the performance of this approach we experimentally demonstrate two extremely computationally demanding power electronics applications: real-time emulation for Hardware-in-the-Loop (HIL) testing, and hybrid system observers for fault detection and isolation. Tue, 28 Feb 2012 00:00:00 +0200 Phase-Synchronizer based on gm-C All-Pass Filter Chain http://dx.doi.org/10.4316/aece.2012.01007 http://dx.doi.org/10.4316/aece.2012.01007 G. S., JOVANOVIC, D. B., MITIC, M. K., STOJCEV, D. S., ANTIC, The use of analog CMOS circuits at high frequency has gained much attention in the last several years. At the heart of rapid prototyping of these circuits is the concept of using a versatile library of common RF function blocks. The blocks (cells) must be designed to be flexible in terms of drive requirements and loading. This paper presents the results of on-going research in development of phase-synchronizer as common RF function block, used in frequency and phase modulation, frequency synthesis, clock generation recovery, filtering, etc. The proposed circuit is based on series of voltage-controlled all-pass filter as delay chain, and enables phase regulation of analog input signals in wide range. Other characteristics of the input signal, such as amplitude and waveform are not deteriorated. The gm-C voltage-controlled all-pass filter is crucial block of the proposal. The IHP 0.25 um SiGe BiCMOS technology was used for design and verification of the circuit. Simulation results indicate that it is possible to obtain phase regulation in the wide frequency range, from 100 kHz up to 200 MHz. Tue, 28 Feb 2012 00:00:00 +0200 Enabling Semantic Queries Against the Spatial Database http://dx.doi.org/10.4316/aece.2012.01008 http://dx.doi.org/10.4316/aece.2012.01008 X., PENG, Z., HUANG, The spatial database based upon the object-relational database management system (ORDBMS) has the merits of a clear data model, good operability and high query efficiency. That is why it has been widely used in spatial data organization and management. However, it cannot express the semantic relationships among geospatial objects, making the query results difficult to meet the user's requirement well. Therefore, this paper represents an attempt to combine the Semantic Web technology with the spatial database so as to make up for the traditional database's disadvantages. In this way, on the one hand, users can take advantages of ORDBMS to store and manage spatial data; on the other hand, if the spatial database is released in the form of Semantic Web, the users could describe a query more concisely with the cognitive pattern which is similar to that of daily life. As a consequence, this methodology enables the benefits of both Semantic Web and the object-relational database (ORDB) available. The paper discusses systematically the semantic enriched spatial database's architecture, key technologies and implementation. Subsequently, we demonstrate the function of spatial semantic queries via a practical prototype system. The query results indicate that the method used in this study is feasible. Tue, 28 Feb 2012 00:00:00 +0200 Implementation of the Lattice Boltzmann Method on Heterogeneous Hardware and Platforms using OpenCL http://dx.doi.org/10.4316/aece.2012.01009 http://dx.doi.org/10.4316/aece.2012.01009 P. M., TEKIC, J. B., RADJENOVIC, M., RACKOVIC, The Lattice Boltzmann method (LBM) has become an alternative method for computational fluid dynamics with a wide range of applications. Besides its numerical stability and accuracy, one of the major advantages of LBM is its relatively easy parallelization and, hence, it is especially well fitted to many-core hardware as graphics processing units (GPU). The majority of work concerning LBM implementation on GPU's has used the CUDA programming model, supported exclusively by NVIDIA. Recently, the open standard for parallel programming of heterogeneous systems (OpenCL) has been introduced. OpenCL standard matures and is supported on processors from most vendors. In this paper, we make use of the OpenCL framework for the lattice Boltzmann method simulation, using hardware accelerators - AMD ATI Radeon GPU, AMD Dual-Core CPU and NVIDIA GeForce GPU's. Application has been developed using a combination of Java and OpenCL programming languages. Java bindings for OpenCL have been utilized. This approach offers the benefits of hardware and operating system independence, as well as speeding up of lattice Boltzmann algorithm. It has been showed that the developed lattice Boltzmann source code can be executed without modification on all of the used hardware accelerators. Performance results have been presented and compared for the hardware accelerators that have been utilized. Tue, 28 Feb 2012 00:00:00 +0200 A Motion Planning System for Mobile Robots http://dx.doi.org/10.4316/aece.2012.01010 http://dx.doi.org/10.4316/aece.2012.01010 A., TUNCER, M., YILDIRIM, K., ERKAN, In this paper, a motion planning system for a mobile robot is proposed. Path planning tries to find a feasible path for mobile robots to move from a starting node to a target node in an environment with obstacles. A genetic algorithm is used to generate an optimal path by taking the advantage of its strong optimization ability. Mobile robot, obstacle and target localizations are realized by means of camera and image processing. A graphical user interface (GUI) is designed for the motion planning system that allows the user to interact with the robot system and to observe the robot environment. All the software components of the system are written in MATLAB that provides to use non-predefined accessories rather than the robot firmware has, to avoid confusing in C++ libraries of robot's proprietary software, to control the robot in detail and not to re-compile the programs frequently in real-time dynamic operations. Tue, 28 Feb 2012 00:00:00 +0200 Formal Model for Data Dependency Analysis between Controls and Actions of a Graphical User Interface http://dx.doi.org/10.4316/aece.2012.01011 http://dx.doi.org/10.4316/aece.2012.01011 D., SKVORC, I., ZUZAK, S., SRBLJIC, End-user development is an emerging computer science discipline that provides programming paradigms, techniques, and tools suitable for users not trained in software engineering. One of the techniques that allow ordinary computer users to develop their own applications without the need to learn a classic programming language is a GUI-level programming based on programming-by-demonstration. To build wizard-based tools that assist users in application development and to verify the correctness of user programs, a computer-supported method for GUI-level data dependency analysis is necessary. Therefore, formal model for GUI representation is needed. In this paper, we present a finite state machine for modeling the data dependencies between GUI controls and GUI actions. Furthermore, we present an algorithm for automatic construction of finite state machine for arbitrary GUI application. We show that proposed state aggregation scheme successfully manages state explosion in state machine construction algorithm, which makes the model applicable for applications with complex GUIs. Tue, 28 Feb 2012 00:00:00 +0200 Generation of Quasi-Gaussian Pulses Based on Correlation Techniques http://dx.doi.org/10.4316/aece.2012.01012 http://dx.doi.org/10.4316/aece.2012.01012 S., POHOATA, A., POPA, N. D., ALEXANDRU, The Gaussian pulses have been mostly used within communications, where some applications can be emphasized: mobile telephony (GSM), where GMSK signals are used, as well as the UWB communications, where short-period pulses based on Gaussian waveform are generated. Since the Gaussian function signifies a theoretical concept, which cannot be accomplished from the physical point of view, this should be expressed by using various functions, able to determine physical implementations. New techniques of generating the Gaussian pulse responses of good precision are approached, proposed and researched in this paper. The second and third order derivatives with regard to the Gaussian pulse response are accurately generated. The third order derivates is composed of four individual rectangular pulses of fixed amplitudes, being easily to be generated by standard techniques. In order to generate pulses able to satisfy the spectral mask requirements, an adequate filter is necessary to be applied. This paper emphasizes a comparative analysis based on the relative error and the energy spectra of the proposed pulses. Tue, 28 Feb 2012 00:00:00 +0200 Phase Angle Control of Three Level Inverter Based D-STATCOM Using Neuro-Fuzzy Controller http://dx.doi.org/10.4316/aece.2012.01013 http://dx.doi.org/10.4316/aece.2012.01013 R., COTELI, E., DENIZ, B., DANDIL, S., TUNCER, F., ATA, Distribution Static Compensator (D-STATCOM) is a shunt compensation device used to improve electric power quality in distribution systems. It is well-known that D-STATCOM is a nonlinear, semi-defined and time-varying system. Therefore, control of D-STATCOM by the conventional control techniques is very difficult task. In this paper, the control of D-STATCOM is carried out by the neuro-fuzzy controller (NFC) which has non-linear and robust structure. For this aim, an experimental setup based on three-level H-bridge inverter is constructed. Phase angle control method is used for control of D-STATCOM's output reactive power. Control algorithm for this experimental setup is prepared in MATLAB/Simulink and downloaded to DS1103 controller card. A Mamdani type NFC is designed for control of D-STATCOM's reactive current. Output of NFC is integrated to increase tracking performance of controller in steady state. The performance of D-STATCOM is experimentally evaluated by changing reference reactive current as on-line. The experimental results show that the proposed controller gives very satisfactory performance under different loading conditions. Tue, 28 Feb 2012 00:00:00 +0200 Fuzzy Sliding Mode Control for Hyper Chaotic Chen System http://dx.doi.org/10.4316/aece.2012.01014 http://dx.doi.org/10.4316/aece.2012.01014 M., SARAILOO, Z., RAHMANI, B., REZAIE, In this paper, a fuzzy sliding mode control method is proposed for stabilizing hyper chaotic Chen system. The main objective of the control scheme is to stabilize unstable equilibrium point of the system by controlling the states of the system so that they converge to a pre-defined sliding surface and remain on it. A fuzzy control technique is also utilized in order to overcome the main disadvantage of sliding mode control methods, i.e. chattering problem. It is shown that the equilibrium point of the system is stabilized by using the proposed method. A stability analysis is also performed to prove that the states of the system converge to the sliding surface and remain on it. Simulations show that the control method can be effectively applied to Chen system when it performs hyper chaotic behavior. Tue, 28 Feb 2012 00:00:00 +0200 Bayes-Based Fault Discrimination in Wide Area Backup Protection http://dx.doi.org/10.4316/aece.2012.01015 http://dx.doi.org/10.4316/aece.2012.01015 Z., WANG, J., ZHANG, Y., ZHANG, Multivariate statistical analysis is an effective tool to finish the fault location for electric power system. In Bayesian discriminant analysis as a subbranch, by the research of several populations, one can calculate the conditional probability that some samples belong to these populations, and compare the corresponding probability. The sample will be classified as population with maximum probability. In this paper, based on Bayesian discriminant analysis principle, a great number of simulation examples have confirmed that the results of Bayesian fault discriminant in wide area backup protection are accurate and reliable. Tue, 28 Feb 2012 00:00:00 +0200 Numerical Analysis of the Dynamic Behavior of a High Power Salient Pole Synchronous Machine by using a Corrected Model http://dx.doi.org/10.4316/aece.2012.01016 http://dx.doi.org/10.4316/aece.2012.01016 A., CAMPEANU, I., VLAD, S., ENACHE, In the paper is shown that, by using the circuit theory which operates with lumped parameters, it is possible to derive mathematical models of a high power salient pole synchronous machine (SPSM), that can take into account the basic processes of the machine. It offers results regarding the electromagnetic and mechanical stresses for a given practical application. The quantitative determinations were performed on an 8000 kW synchronous motor. The results of quantitative determinations are of essential interest in the designing stage, for dynamic characteristics and parameters derivation and for constructive solutions to be chosen. Tue, 28 Feb 2012 00:00:00 +0200 Novel Approach for Electromagnetic Actuators Analysis in Transient Behavior http://dx.doi.org/10.4316/aece.2012.01017 http://dx.doi.org/10.4316/aece.2012.01017 I. G., SIRBU, M., IORDACHE, L., MANDACHE, L., DUMITRIU, A new model of the actuator is proposed in this paper. It considers the nonlinear electromagnetic phenomena in the ferromagnetic core, as well as the influence of the mechanical load during the plunger movement. According to our approach, the entire system that includes the magnetic circuit, the electric circuit and the mechanical parts is mathematically modeled through a differential algebraic equation system (DAE). Therefore, a corresponding analog nonlinear electric circuit described by a similar mathematical model is conceived and implemented in an electric circuit simulation program capable to analyze its behavior in steady state or dynamic regimes. The SPICE simulator has been chosen as implementation platform and a case study has been performed to prove the feasibility and efficiency of our approach. The simulation result contains electromagnetic and mechanical quantities that were represented as time-domain functions. The method is remarkable through an extremely short computation time when compared with the classical methods based on the discretization of the domain. Tue, 28 Feb 2012 00:00:00 +0200 Performance Analysis of Cell-Phone Worm Spreading in Cellular Networks through Opportunistic Communications http://dx.doi.org/10.4316/aece.2012.02001 http://dx.doi.org/10.4316/aece.2012.02001 W., YAHUI, S., DENG, H., HUANG, Y., DENG, Worms spreading directly between cell-phones over short-range radio (Bluetooth, WiFi, etc.) are increasing rapidly. Communication by these technologies is opportunistic and has very close relation with the social characteristics of the phone carriers. In this paper, we try to evaluate the impact of different characteristics on the spreading performance of worms. On the other hand, the behaviors of worms may have certain impact, too. For example, worms may make phones be completely dysfunctional and these phones can be seen as killed. We study the impact of the killing speed. Using the Markov model, we propose some theoretical models to evaluate the spreading performance in different cases. Simulation results show the accuracy of our models. Numerical results show that if users do not believe the data coming from others easily, the worms may bring less damage. Surprisingly, if the users are more willing to install the anti-virus software, the worms may bring bigger damage when the software becomes to be outdated with high probability. Though the worms can bring big damage on the network temporarily by killing phones rapidly, numerical results show that this behavior may decrease the total damage in the long time. Therefore, killing nodes more rapidly may be not optimal for worms. Wed, 30 May 2012 00:00:00 +0300 Enabling Frame-Based Adaptive Video Transmission in a Multilink Environment http://dx.doi.org/10.4316/aece.2012.02002 http://dx.doi.org/10.4316/aece.2012.02002 E., PUSCHITA, P., KANTOR, G., MANULIAC, T., PALADE, J., BITO, In order to increase the user Quality of Experience (QoE), transport functions could exploit the presence of multiple communication channels. Combining multilink architecture developed by the CELTIC MARCH project and adaptive video transmission can be an effective solution for transmitting video streams. Our multilink gateway method aims to increase the quality of the video transmission by splitting and merging the video stream in accord with the importance of the different parts of the video stream into multiple access networks ranked adaptively to the network performance. Our method guarantees the transmission of the highest priority MPEG-2 frames trough the best network available instantaneously. Wed, 30 May 2012 00:00:00 +0300 Speech Segregation based on Pitch Track Correction and Music-Speech Classification http://dx.doi.org/10.4316/aece.2012.02003 http://dx.doi.org/10.4316/aece.2012.02003 H.-G., KIM, G.-J., JANG, J.-S., PARK, J.-H., KIM, Y.-H., OH, A novel approach for pitch track correction and music-speech classification is proposed in order to improve the performance of the speech segregation system. The proposed pitch track correction method adjusts unreliable pitch estimates from adjacent reliable pitch streaks, in contrast to the previous approach using a single pitch streak which is the longest among the reliable pitch streaks in a sentence. The proposed music and speech classification method finds continuous pitch streaks of the mixture, and labels each streak as music-dominant or speech-dominant based on the observation that music pitch seldom changes in a short-time period whereas speech pitch fluctuates a lot. The speech segregation results for mixtures of speech and various competing sound sources demonstrated that the proposed methods are superior to the conventional method, especially for mixtures of speech and music signals. Wed, 30 May 2012 00:00:00 +0300 A Novel Fault Identification Using WAMS/PMU http://dx.doi.org/10.4316/aece.2012.02004 http://dx.doi.org/10.4316/aece.2012.02004 Y., ZHANG, Z., WANG, J., ZHANG, The important premise of the novel adaptive backup protection based on wide area information is to identify the fault in a real-time and on-line way. In this paper, the principal components analysis theory is introduced into the field of fault detection to locate precisely the fault by mean of the voltage and current phasor data from the PMUs. Massive simulation experiments have fully proven that the fault identification can be performed successfully by principal component analysis and calculation. Our researches indicate that the variable with the biggest coefficient in principal component usually corresponds to the fault. Under the influence of noise, the results are still accurate and reliable. So, the principal components fault identification has strong anti-interference ability and great redundancy. Wed, 30 May 2012 00:00:00 +0300 Control of the Bed Temperature of a Circulating Fluidized Bed Boiler by using Particle Swarm Optimization http://dx.doi.org/10.4316/aece.2012.02005 http://dx.doi.org/10.4316/aece.2012.02005 H., AYGUN, H., DEMIREL, M., CERNAT, Circulating fluidized bed boilers are increasingly used in the power generation due to their higher combustion efficiency and lower pollutant emissions. Such boilers require an effective control of the bed temperature, because it influences the boiler combustion efficiency and the rate of harmful emissions. A Particle-Swarm-Optimization-Proportional-Integrative-Derivative (PSO-PID) controller for the bed temperature of a circulating fluidized bed boiler is presented. In order to prove the capability of the proposed controller, its performances are compared at different boiler loads with those of a Fuzzy Logic (FL) controller. The simulation results demonstrate some advantages of the proposed controller. Wed, 30 May 2012 00:00:00 +0300 WAMS Based Damping Control of Inter-area Oscillations Employing Energy Storage System http://dx.doi.org/10.4316/aece.2012.02006 http://dx.doi.org/10.4316/aece.2012.02006 J., MA, T., WANG, J. S., THORP, Z., WANG, Q., YANG, A. G., PHADKE, This paper presents a systematic design procedure for a wide-area damping controller (WADC) employing Energy Storage Systems (ESSs). The WADC is aimed at enhancing the damping of multiple inter-area modes in a large scale power system. Firstly, geometric measures of controllability and obsevability are used to select the control locations for ESSs and most effective stabilizing signals, respectively. Then, the WADC coordinates these signals to achieve multiple-input-multiple-output (MIMO) controllers with the least Frobenius norm feedback gain matrix. The simulation results of frequency and time domains verify the effectiveness of the wide-area damping controller for various operating conditions. Furthermore, the robustness of the wide-area damping controller is also tested with respect to time delay and uncertainty of models. Wed, 30 May 2012 00:00:00 +0300 A Fast Method for the Alignment of the Displacement of Voxel Data http://dx.doi.org/10.4316/aece.2012.02007 http://dx.doi.org/10.4316/aece.2012.02007 D., SPELIC, F., NOVAK, B., ZALIK, A fast algorithm for the alignment of the displacement of voxel data is presented. In contrast to the existing solutions, the proposed algorithm achieves a less accurate alignment, but in a much shorter time. The algorithm consists of two parts: a translation and a rotation. While the translation part of the alignment process is error free, the rotation part introduces a small inherent error due to the finite arithmetic and discretization. Experimental results based on three datasets are presented. Wed, 30 May 2012 00:00:00 +0300 Toward Automatic Recognition of Children's Affective State Using Physiological Parameters and Fuzzy Model of Emotions http://dx.doi.org/10.4316/aece.2012.02008 http://dx.doi.org/10.4316/aece.2012.02008 O.-A., SCHIPOR, S.-G., PENTIUC, M.-D., SCHIPOR, Affective computing - the ability of a system to recognize, understand and simulate human emotional intelligence - is one of the most dynamic fields of HCI - Human Computer Interaction. These characteristics find their applicability in those areas where it is necessary to extend traditional cognitive communication with emotional features. That is why, Computer Based Speech Therapy Systems (CBST), and especially those involving children with speech disorders, require this qualitative shift. So in this paper we propose an original emotional framework recognition as an extension for our previous developed system - Logomon. A fuzzy model is used in order to interpret the values of specific physiological parameters and to obtain the emotional state of the subject. Moreover, an experiment that indicates the emotion pattern (average fuzzy sets) for each therapeutic sequence is also presented. The obtained results encourage us to continue working on automatic emotion recognition and provide important clues regarding the future development of our CBST. Wed, 30 May 2012 00:00:00 +0300 A Method for Designing FIR Filters with Arbitrary Magnitude Characteristic Used for Modeling Human Audiogram http://dx.doi.org/10.4316/aece.2012.02009 http://dx.doi.org/10.4316/aece.2012.02009 E., SZOPOS, M., NEAG, I., SARACUT, H., HEDESIU, L., FESTILA, This paper presents an iterative method for designing FIR filters that implement arbitrary magnitude characteristics, defined by the user through a set of frequency-magnitude points (frequency samples). The proposed method is based on the non-uniform frequency sampling algorithm. For each iteration a new set of frequency samples is generated, by processing the set used in the previous run; this implies changing the samples location around the previous frequency values and adjusting their magnitude through interpolation. If necessary, additional samples can be introduced, as well. After each iteration the magnitude characteristic of the resulting filter is determined by using the non-uniform DFT and compared with the required one; if the errors are larger than the acceptable levels (set by the user) a new iteration is run; the length of the resulting filter and the values of its coefficients are also taken into consideration when deciding a re-run. To demonstrate the efficiency of the proposed method a tool for designing FIR filters that match human audiograms was implemented in LabVIEW. It was shown that the resulting filters have smaller coefficients than the standard one, and can also have lower order, while the errors remain relatively small. Wed, 30 May 2012 00:00:00 +0300 The Effects of the Acute Hypoxia to the Fundamental Frequency of the Speech Signal http://dx.doi.org/10.4316/aece.2012.02010 http://dx.doi.org/10.4316/aece.2012.02010 Z. N., MILIVOJEVIC, M., MILIVOJEVIC, D., BRODIC, When people that live at the small altitudes (up to 400 m above the sea level) climb on the mountain, they are exposed to the effects of an acute hypoxia. As a consequence, theirs oxygen concentration decreases in the tissue. This paper presents the analysis of the acute hypoxia effects to the speech signal at the altitudes up to 2600 m above the sea level. For the experiment, the articulation of vowels (A, E, I, O, U) from the test group of persons was recorded at different altitudes, which creates the speech signal database. The speech signal from database is processed by the original algorithm. As the results, the fundamental frequency and the energy of dissonant intervals of speech signal are obtained. Furthermore, the acute hypoxia effect to the energy distribution in the dissonant intervals of the speech signal is analyzed. At the end, the comparative analysis of the acute hypoxia effects shows that the level of the hypoxia can be determined by the change of the fundamental frequency and the energy of the dissonant intervals of speech signal. Hence, it is possible to bring conclusions about the degree of hypoxia, which in many situations can be of importance for avoiding catastrophic consequences. Wed, 30 May 2012 00:00:00 +0300 Optimized Simulation Framework for Spiking Neural Networks using GPU's http://dx.doi.org/10.4316/aece.2012.02011 http://dx.doi.org/10.4316/aece.2012.02011 R., MIRSU, S., MICUT, C., CALEANU, D. B., MIRSU, This paper presents a hardware accelerated model of a spiking neural network implemented in CUDA C. It does a short description of the mathematical model for the neural network and presents the implementation on the GPU. Additionally, it presents three methods of further accelerating the model by eliminating excess kernel launch overhead time, efficiently using shared memory and overlapping computation with data transfer. Finally, the implementation is benchmarked against an existing C++ equivalent model. Wed, 30 May 2012 00:00:00 +0300 Automated Testing System for a CAN Communication Circuit http://dx.doi.org/10.4316/aece.2012.02012 http://dx.doi.org/10.4316/aece.2012.02012 F., PRUTIANU, V., POPESCU, D., LASCU, The paper presents a method for validation/testing a control area network (CAN) communication circuit used in all electronic control units (ECUs) developed in automotive industry after 2000. Using a specific hardware configuration and remotely controlled by LabVIEW. The author's presents their own vision regarding operational software algorithm implementation and integration / execution of some test cases in order to validate a CAN circuit. Using this method, it is possible to validate/test CAN hardware circuits in a short time and with the possibility of saving the test results. Human operator is interfering with the system only through the graphical user interface. The error sources for this system are reduced to minimum. Wed, 30 May 2012 00:00:00 +0300 Modeling Road Traffic Using Service Center http://dx.doi.org/10.4316/aece.2012.02013 http://dx.doi.org/10.4316/aece.2012.02013 I.-M., HARAGOS, C., CERNAZANU-GLAVAN, Transport systems have an essential role in modern society because they facilitate access to natural resources and they stimulate trade. Current studies aimed at improving transport networks by developing new methods for optimization. Because of the increase in the global number of cars, one of the most common problems facing the transport network is congestion. By creating traffic models and simulate them, we can avoid this problem and find appropriate solutions. In this paper we propose a new method for modeling traffic. This method considers road intersections as being service centers. A service center represents a set consisting of a queue followed by one or multiple servers. This model was used to simulate real situations in an urban traffic area. Based on this simulation, we have successfully determined the optimal functioning and we have computed the performance measures. Wed, 30 May 2012 00:00:00 +0300 Modeling and Operational Testing of an Isolated Variable Speed PMSG Wind Turbine with Battery Energy Storage http://dx.doi.org/10.4316/aece.2012.02014 http://dx.doi.org/10.4316/aece.2012.02014 L., BAROTE, C., MARINESCU, This paper presents the modeling and operational testing of an isolated permanent magnet synchronous generator (PMSG), driven by a small wind turbine with a battery energy storage system during wind speed and load variations. The whole system is initially modeled, including the PMSG, the boost converter and the storage system. The required power for the connected loads can be effectively delivered and supplied by the proposed wind turbine and energy storage systems, subject to an appropriate control method. Energy storage devices are required for power balance and power quality in stand alone wind energy systems. The main purpose is to supply 230 V / 50 Hz domestic appliances through a single-phase inverter. The experimental waveforms, compared to the simulation results, show a good prediction of the electrical variable parameters. Furthermore, it can be seen that the results validate the stability of the supply. Wed, 30 May 2012 00:00:00 +0300 Computer-Aided Design in Electromagnetics - the Case for Surface Impedance Boundary Conditions http://dx.doi.org/10.4316/aece.2012.03001 http://dx.doi.org/10.4316/aece.2012.03001 N., IDA, L., Di RIENZO, S., YUFEREV, Surface impedance boundary conditions (SIBCs) have been successfully used for over 70 years in both analytical and numerical computation. With the need to model increasingly complex geometries and smaller artifacts, its importance in computer-aided design of electromagnetic devices has become prominent. High frequency SIBCs have been particularly successful because of the minimal penetration of electromagnetic fields in conductors and lossy dielectrics. SIBCs based on the skin depth have also been used although these have been limited to the first order (Leontovich) condition and Leontovich-like conditions. Little has been done in incorporating second order SIBCs and higher. A general method of derivation of SIBCs of arbitrary order is presented here and shown to apply to low frequency power structures including electric machines, transmission lines and nondestructive testing of materials. The proposed SIBCs are universally applicable and the order of the SIBC allows control of errors in design. Whereas low order SIBCs apply to classical flat surfaces and perpendicular diffusion, higher order conditions take into account curvatures and lateral diffusion of fields as well. Results shown include transmission line parameters, eddy current testing and other power applications in which they contribute to speed and accuracy of the design. In some cases, the use of SIBCs is not only possible but rather is critical to the very ability to obtain an acceptable design. Fri, 31 Aug 2012 00:00:00 +0300 Parallel-Hierarchical Computing System for Multi-Level Transformation of Masked Digital Signals http://dx.doi.org/10.4316/aece.2012.03002 http://dx.doi.org/10.4316/aece.2012.03002 A. A., YAROVYY, L. I., TIMCHENKO, N. I., KOKRIATSKAIA, Paper deals with organization principles of parallel-hierarchical (PH) transform for multistage perception and processing, compression and recognition of information in computational systems which make use of computational scheme similar to neural. Unified methodological approach was developed for analysis of parallel processes. This approach considers influence of structural hierarchy in dynamics. It tracks processes of spatial areas transformation of correlated and generation of uncorrelated in time elements of generated PH network, at the time of transition of the network from one stable stage to another. The main feature of the proposed method is the studying of the dynamics of spatial-correlated procedure for transformation between current and output units in PH network. This procedure gives an opportunity to present processing in PH network as the process of parallel-sequential transformation of diverse image components and consideration of temporal characteristics of transformation. The features analysis of structural-functional organization of networking model of PH transformation of the information environments and corresponding masks generation methods is realized in the given research. On the base of research carried out the method of optimized masks formation while information coding in PH transformation is proposed. The software package, characterized by increased efficiency of direct and reverse PH transformation is developed. Fri, 31 Aug 2012 00:00:00 +0300 High Performance Wideband CMOS CCI and its Application in Inductance Simulator Design http://dx.doi.org/10.4316/aece.2012.03003 http://dx.doi.org/10.4316/aece.2012.03003 E., ARSLAN, B., METIN, N., HERENCSAR, J., KOTON, A., MORGUL, O., CICEKOGLU, In this paper, a new, differential pair based, low-voltage, high performance and wideband CMOS first generation current conveyor (CCI) is proposed. The proposed CCI has high voltage swings on ports X and Y and very low equivalent impedance on port X due to super source follower configuration. It also has high voltage swings (close to supply voltages) on input and output ports and wideband current and voltage transfer ratios. Furthermore, two novel grounded inductance simulator circuits are proposed as application examples. Using HSpice, it is shown that the simulation results of the proposed CCI and also of the presented inductance simulators are in very good agreement with the expected ones. Fri, 31 Aug 2012 00:00:00 +0300 Increasing the Performance of Energy-Detection Based UWB Demodulator with a Supplementary Integration Block http://dx.doi.org/10.4316/aece.2012.03004 http://dx.doi.org/10.4316/aece.2012.03004 A., POPA, In this paper it is investigated the non-coherent demodulation of the 2PPM modulated UWB signal, based on energy-detection. This type of demodulation leads to a simple receiver architecture, low power consumption and the benefit of multipath energy capture. However, this technique is very sensitive to noise and channel interference. To minimize this drawback, optimizations have been proposed with respect to the reduction of the integration windows size and bandwidth of input matched filter. An appropriate ultra-wideband multipath channel model such as IEEE 802.15.3a may be considered for this optimization process. Basic method uses a single integration window with a constant gain, capturing only significant useful power of the signal replicas presented in the front of the received signal, and neglecting later signal. Instead of a rectangular integration window, it is proposed to use an integration window with a linear descending gain. This may be simply obtained by adding a supplementary integration block. In this way, the front-side useful signal power is integrated with a better gain in comparison with later, predominant noise, received signal. The simulations show an improvement in bit error rate performance relative to the basic method of energy-detection. Fri, 31 Aug 2012 00:00:00 +0300 The Analysis of the FCM and WKNN Algorithms Performance for the Emotional Corpus SROL http://dx.doi.org/10.4316/aece.2012.03005 http://dx.doi.org/10.4316/aece.2012.03005 M., ZBANCIOC, S. M., FERARU, The purpose of this research is to find a set of relevant parameters for the emotion recognition. In this study we used the recordings from the emotion database SROL which is part of the project 'Voiced Sounds of Romanian Language'. The database was validated by human listeners. The recognition accuracy of the correct expressed emotion (neutral tone, joy, fury and sadness) for the entire database was 63.97%. We used for the classification of input data the Recurrent Fuzzy C-Means (FCM) and WKNN algorithms. We compared the cluster position with the statistical parameters extracted from vowels in order to establish the relevance of each parameter in the recognition of the emotions. For the extracted parameters for each vowel (mean, median and standard deviation of fundamental frequency - F0 and F1-F4 formants, jitter, and shimmer) the FCM algorithm gave satisfactory results in the phonemes recognition, but not to the emotions. For this reason we used WKNN algorithm in classification, which provided the errors around 20-30% comparing with FCM algorithm when the classification errors are around 40-50%. Fri, 31 Aug 2012 00:00:00 +0300 A Structure-Based Coarse-Fine Approach for Diversity Tuning in Cellular GAs http://dx.doi.org/10.4316/aece.2012.03006 http://dx.doi.org/10.4316/aece.2012.03006 A., MORALES-REYES, A. T., ERDOGAN, This article empirically assesses a coarse-fine approach for diversity tuning in cellular Genetic Algorithms (cGAs). The coarse tuning is performed through the constant reconfiguration of the grid while the fine tuning is locally achieved through dynamic anisotropic selection which considers individuals' locations in the local neighborhood. Benchmark problems including continuous, real-world and combinatorial problems are evaluated. The experimental results show an improvement in cGAs performance when compared to having a fixed topology configuration or to independently applying dynamic lattice reconfiguration or dynamic anisotropic. Fri, 31 Aug 2012 00:00:00 +0300 An Algorithm for Induction Motor Stator Flux Estimation http://dx.doi.org/10.4316/aece.2012.03007 http://dx.doi.org/10.4316/aece.2012.03007 D. M., STOJIC, A new method for the induction motor stator flux estimation used in the sensorless IM drive applications is presented in this paper. Proposed algorithm advantageously solves problems associated with the pure integration, commonly used for the stator flux estimation. An observer-based structure is proposed based on the stator flux vector stationary state, in order to eliminate the undesired DC offset component present in the integrator based stator flux estimates. By using a set of simulation runs it is shown that the proposed algorithm enables the DC-offset free stator flux estimated for both low and high stator frequency induction motor operation. Fri, 31 Aug 2012 00:00:00 +0300 Design of a Solar Motor Drive System Fed by a Direct-Connected Photovoltaic Array http://dx.doi.org/10.4316/aece.2012.03008 http://dx.doi.org/10.4316/aece.2012.03008 O., AYDOGMUS, A solar motor pump drive system is modeled and simulated. The proposed drive system does not require any kind of energy storage system and dc-dc converter. The system is connected directly to a photovoltaic (PV) array. Thus, a low cost solar system can be achieved. A vector controlled Permanent Magnet Synchronous Motor (PMSM) is used as a solar motor to increase the efficiency of system. The motor is designed for a low rated voltage level about 24V. The hill climbing MPPT method is used for balanced the motor power and PV power to obtain a high efficiency. The results are performed by using MATLAB/SimPowerSystem blocks. In addition, the PV array is modeled to allow for the possibility of running as on-line adjustable in simulation environment without using lookup table. The performances of motor, MPPT and drive system are analyzed in different conditions as temperature and irradiation of PV array. Fri, 31 Aug 2012 00:00:00 +0300 Improved Mathematical Model of PMSM Taking Into Account Cogging Torque Oscillations http://dx.doi.org/10.4316/aece.2012.03009 http://dx.doi.org/10.4316/aece.2012.03009 T., TUDORACHE, I., TRIFU, C., GHITA, V., BOSTAN, This paper presents an improved mathematical model of Permanent Magnet Synchronous Machine (PMSM) that takes into account the Cogging Torque (CT) oscillations that appear due to the mutual attraction between the Permanent Magnets (PMs) and the anisotropic stator armature. The electromagnetic torque formula in the proposed model contains an analytical expression of the CT calibrated by Finite Element (FE) analysis. The numerical calibration is carried out using a data fitting procedure based on the Simplex Downhill optimization algorithm. The proposed model is characterized by good accuracy and reduced computation effort, its performance being verified by comparison with the classical d-q model of the machine using Matlab/Simulink environment. Fri, 31 Aug 2012 00:00:00 +0300 State-Space GMDH Neural Networks for Actuator Robust Fault Diagnosis http://dx.doi.org/10.4316/aece.2012.03010 http://dx.doi.org/10.4316/aece.2012.03010 M., MRUGALSKI, M., WITCZAK, Most fault diagnosis methods focus on the fault detection of the system or sensors and do not take into account the problem of the fault detection and isolation of the actuators, which are an important part of the contemporary industrial systems. To solve such a problem, the system outputs and inputs estimator based on a dynamic Group Method of Data Handling neural network in the state-space representation is proposed. In particular, the methodology of the adaptive thresholds calculation for system inputs and outputs is presented. The approach is based on the application of the Unscented Kalman Filter and Unknown Input Filter is presented. This result enables performing robust fault detection and isolation of the actuators. The final part of the paper presents an application study, which confirms the effectiveness of the proposed approach. Fri, 31 Aug 2012 00:00:00 +0300 Object Extraction from Architecture Scenes through 3D Local Scanned Data Analysis http://dx.doi.org/10.4316/aece.2012.03011 http://dx.doi.org/10.4316/aece.2012.03011 X., NING, Y., WANG, Terrestrial laser scanning becomes a standard way for acquiring 3D data of complex outdoor objects. The processing of huge number of points and recognition of different objects inside become a new challenge, especially in the case where objects are included. In this paper, a new approach is proposed to classify objects through an analysis on shape information of the point cloud data. The scanned scene is constructed using k Nearest Neighboring (k-NN), and then similarity measurement between points is defined to cluster points with similar primitive shapes. Moreover, we introduce a combined geometrical criterion to refine the over-segmented results. To achieve more detail information, a residual based segmentation is adopted to refine the segmentation of architectural objects into more parts with different shape properties. Experimental results demonstrate that this approach can be used as a robust way to extract different objects in the scenes. Fri, 31 Aug 2012 00:00:00 +0300 Automatic Recognition of Improperly Pronounced Initial 'r' Consonant in Romanian http://dx.doi.org/10.4316/aece.2012.03012 http://dx.doi.org/10.4316/aece.2012.03012 V., VELICAN, R., STRUNGARU, O., GRIGORE, Correctly assessing the degree of mispronunciation and deciding upon the necessary treatment are fundamental activities for all speech disorder specialists. Obviously, the experience and the availability of the specialists are essentials in order to assure an efficient therapy for the speech impaired. To overcome this deficiency a more objective approach would include the existence of a tool that independent of the specialist's abilities could be used to establish the diagnostics. A complete automated system based on speech processing algorithms capable of performing the recognition task is therefore thoroughly justified and can be viewed as a goal that will bring many benefits to the field of speech pronunciation correction. This paper presents further results of the authors' work on developing speech processing algorithms able to identify mispronunciations in Romanian language, more exactly we propose the use of the Walsh-Hadamard Transform (WHT) as feature selection tool in the case of identifying rhotacism. The results are encouraging with a best recognition rate of 92.55%. Fri, 31 Aug 2012 00:00:00 +0300 An Efficient Solution for Hand Gesture Recognition from Video Sequence http://dx.doi.org/10.4316/aece.2012.03013 http://dx.doi.org/10.4316/aece.2012.03013 R.-C., PRODAN, S.-G., PENTIUC, R.-D., VATAVU, The paper describes a system of hand gesture recognition by image processing for human robot interaction. The recognition and interpretation of the hand postures acquired through a video camera allow the control of the robotic arm activity: motion - translation and rotation in 3D - and tightening/releasing the clamp. A gesture dictionary was defined and heuristic algorithms for recognition were developed and tested. The system can be used for academic and industrial purposes, especially for those activities where the movements of the robotic arm were not previously scheduled, for training the robot easier than using a remote control. Besides the gesture dictionary, the novelty of the paper consists in a new technique for detecting the relative positions of the fingers in order to recognize the various hand postures, and in the achievement of a robust system for controlling robots by postures of the hands. Fri, 31 Aug 2012 00:00:00 +0300 Ranging Property of the Dual-Band Band Limited Signal (DBBLS) http://dx.doi.org/10.4316/aece.2012.03014 http://dx.doi.org/10.4316/aece.2012.03014 P., KOVAR, P., KACMARIK, The Dual-Band Band Limited Signal (DBBLS) is a signal with its power spectral density consisting of two separate lobes. Signals that can be considered as DBBLS are for example signals with BOC, AltBOC modulation, signals modulated on two close carriers and many other signals, which are used in modern satellite navigation systems. This signal advantage is its excellent ranging property. The parted power spectral density enables processing the DBBLS as a single wideband signal in single-channel receiver or as two narrow band signals in two-channel receiver. The signal processing of the ranging signals is based on the calculation of the cross-correlation function, which can be calculated from the signal measured by the two-channel receiver by the derived method more efficiently than from the whole signal. The two-channel processing has nearly optimal performance, but the hardware and computation complexity is much lower. The developed method can by applied, for instance, for the processing of the Galileo E5 signal or pair of the Compass L1 signals. Fri, 31 Aug 2012 00:00:00 +0300 Nonlinear Adaptive NeuroFuzzy Wavelet Based Damping Control Paradigm for SSSC http://dx.doi.org/10.4316/aece.2012.03015 http://dx.doi.org/10.4316/aece.2012.03015 R., BADAR, L., KHAN, Static Synchronous Series Compensator (SSSC) is a series compensating Flexible AC Transmission System (FACTS) controller with primary objective of power flow control on a line by injecting a voltage in series with transmission line. However, it can efficiently be used for improving the system stability by using a supplementary damping control system. In this work, Adaptive Neurofuzzy Wavelet Control (ANFWC) paradigm for SSSC supplementary damping control system has been proposed and successfully applied to a Single Machine Infinite Bus (SMIB) power system. Gradient descent based back propagation algorithm, being simple with sufficient efficiency, has been used to update the controller parameters. The robustness of the proposed control strategy has been validated using nonlinear time domain simulations for different faults and various operating conditions of power system. Finally, the results have been compared with Conventional Adaptive Takagi-Sugino Controller (CATC) on the basis of different performance indices. Fri, 31 Aug 2012 00:00:00 +0300 Speed and Current Control of Permanent Magnet Synchronous Motor Drive Using IMC Controllers http://dx.doi.org/10.4316/aece.2012.04001 http://dx.doi.org/10.4316/aece.2012.04001 P., BRANDSTETTER, T., KRECEK, The paper describes a current and speed control of the permanent magnet synchronous motor with vector control. For a current and speed controller, the Internal Model Control (IMC) method was chosen for its good tracking capability and demands on the controllers. A short analysis of the IMC method for design of the current and speed controller has been made. The paper contains mathematical description of the IMC controller design. Simulation and experimental results of the vector controlled AC drive with interior permanent magnet synchronous motor are shown to present features of the current and speed controller. Fri, 30 Nov 2012 00:00:00 +0200 A New Color Space Based Constellation Diagram and Modulation Scheme for Color Independent VLC http://dx.doi.org/10.4316/aece.2012.04002 http://dx.doi.org/10.4316/aece.2012.04002 P., DAS, B.-Y., KIM, Y., PARK, K.-D., KIM, In this paper, generation of a constellation diagram, data to light intensity mapping, and light intensity to data demapping are introduced for the visible light communication (VLC) systems. We propose a new constellation diagram and modulation scheme named generalized color modulation (GCM) based on light color space which can be uniquely applied to modulate the light signals used to deliver data information regardless of target colors of VLC signals. At first, we describe the generation of a constellation in a light color space considering the target color of VLC signals. Then we represent the data symbols as constellation points, resulting in every data symbol having a specific position and corresponding color in the light color space. After that, we determine the position of received signal points in the light color space at the receiver by manipulating the intensities of received signals from the photo detectors. Finally, we convert these received points to data symbols by matching them to the constellation points generated by the receiver. We consider both single color and multiple colors scenarios and investigate two cases to obtain the color information at the receiver. Simulation results show that our proposed scheme can be applied to the development of a more efficient VLC system. Fri, 30 Nov 2012 00:00:00 +0200 A Performance Analytical Strategy for Network-on-Chip Router with Input Buffer Architecture http://dx.doi.org/10.4316/aece.2012.04003 http://dx.doi.org/10.4316/aece.2012.04003 J., WANG, Y., LI, H., LI, In this paper, a performance analytical strategy is proposed for Network-on-Chip router with input buffer architecture. First, an analytical model is developed based on semi-Markov process. For the non-work-conserving router with small buffer size, the model can be used to analyze the schedule delay and the average service time for each buffer when given the related parameters. Then, the packet average delay in router is calculated by using the model. Finally, we validate the effectiveness of our strategy by simulation. By comparing our analytical results to simulation results, we show that our strategy successfully captures the Network-on-Chip router performance and it performs better than the state-of-art technology. Therefore, our strategy can be used as an efficiency performance analytical tool for Network-on-Chip design. Fri, 30 Nov 2012 00:00:00 +0200 Ordered Statistics Vertex Extraction and Tracing Algorithm (OSVETA) http://dx.doi.org/10.4316/aece.2012.04004 http://dx.doi.org/10.4316/aece.2012.04004 B., VASIC, We propose an algorithm for identifying vertices from three dimensional (3D) meshes that are most important for a geometric shape creation. Extracting such a set of vertices from a 3D mesh is important in applications such as digital watermarking, but also as a component of optimization and triangulation. In the first step, the Ordered Statistics Vertex Extraction and Tracing Algorithm (OSVETA) estimates precisely the local curvature, and most important topological features of mesh geometry. Using the vertex geometric importance ranking, the algorithm traces and extracts a vector of vertices, ordered by decreasing index of importance. Fri, 30 Nov 2012 00:00:00 +0200 A Novel Method for Inverter Faults Detection and Diagnosis in PMSM Drives of HEVs based on Discrete Wavelet Transform http://dx.doi.org/10.4316/aece.2012.04005 http://dx.doi.org/10.4316/aece.2012.04005 M., AKTAS, The paper proposes a novel method, based on wavelet decomposition, for detection and diagnosis of faults (switch short-circuits and switch open-circuits) in the driving systems with Field Oriented Controlled Permanent Magnet Synchronous Motors (PMSM) of Hybrid Electric Vehicles. The fault behaviour of the analyzed system was simulated by Matlab/SIMULINK R2010a. The stator currents during transients were analysed up to the sixth level detail wavelet decomposition by Symlet2 wavelet. The results prove that the proposed fault diagnosis system have very good capabilities. Fri, 30 Nov 2012 00:00:00 +0200 Method of Parallel-Hierarchical Network Self-Training and its Application for Pattern Classification and Recognition http://dx.doi.org/10.4316/aece.2012.04006 http://dx.doi.org/10.4316/aece.2012.04006 L., TIMCHENKO, N., KOKRIATSKAIA, V., MELNIKOV, R., MAKARENKO, N., PETROVSKYI, Propositions necessary for development of parallel-hierarchical (PH) network training methods are discussed in this article. Unlike already known structures of the artificial neural network, where non-normalized (absolute) similarity criteria are used for comparison, the suggested structure uses a normalized criterion. Based on the analysis of training rules, a conclusion is made that application of two training methods with a teacher is optimal for PH network training: error correction-based training and memory-based training. Mathematical models of training and a combined method of PH network training for recognition of static and dynamic patterns are developed. Fri, 30 Nov 2012 00:00:00 +0200 New Methods of Detecting Voluntary Blinking Used to Communicate with Disabled People http://dx.doi.org/10.4316/aece.2012.04007 http://dx.doi.org/10.4316/aece.2012.04007 R.-G., BOZOMITU, In this paper two new methods of detecting a voluntary blinking and neglecting involuntary blinks are comparatively presented. This technique is used to communicate with disabled people by using the EOG acquisition system. The proposed methods are based on Hilbert transform and envelope detection of the low frequency differential EOG signals. To safely detect voluntary blinking pulses, these methods use an adaptive threshold depending on the level of the low frequency EOG signal. The prototype of the proposed system has been designed, constructed and tested for different subjects from medical care centers, hospitals and treatment units. The experiments that we made with patients have confirmed the performing operation of the proposed EOG acquisition system. Fri, 30 Nov 2012 00:00:00 +0200 Implicit Approximation of Photovoltaic Panel Characteristics Using a Stochastic Approach http://dx.doi.org/10.4316/aece.2012.04008 http://dx.doi.org/10.4316/aece.2012.04008 K., ZAPLATILEK, J., LEUCHTER, In this article, an original system is described for an implicit approximation of photovoltaic panel characteristics. Photovoltaic panels (PV panel) are considered stochastic systems. Long-term measured basic characteristics are input data of the system. Each measurement is one of the stochastic PV realizations. Basic 2-D PV characteristics are approximated using implicit circle equations. Calculated circle passes through the three chosen points of a so-called stochastic cloud and it is an quasi-average PV model. The described approximation system includes all of practice influences over the PV, e.g. solar irradiation, temperature, PV wear, random events, etc. An original 3-D implicit final approximation is also introduced. The mentioned method is unambiguous and it also enables the user to intervene. The method is strictly based on measured data and it was developed and verified in MATLAB environment. Fri, 30 Nov 2012 00:00:00 +0200 A Practical Solution for Time Synchronization in Wireless Sensor Networks http://dx.doi.org/10.4316/aece.2012.04009 http://dx.doi.org/10.4316/aece.2012.04009 E., COCA, V., POPA, Time synchronization in wireless sensor node networks is a hot topic. Many papers present various software algorithms and hardware solutions to keep accurate time information on mobile nodes. In terms of real life applications wireless sensor nodes are preferred in many domains, starting with simple room monitoring and finishing with pipeline surveillance projects. Positioning applications are far more restrictive on timekeeping accuracy, as for the velocity of nodes calculations precise time or time difference values are needed. The accuracy of time information on nodes has to be always correlated with the application requirements. In this paper, we present some considerations regarding time synchronization linked with specific needs for individual practical applications. A practical low energy method of time keeping at node level is proposed and tested. The performances of the proposed solution in terms of short and long term stability and energy requirements are analyzed and compared with existing solutions. Simulation and experimental results, some advantages and disadvantages of the method are presented at the end of the paper. Fri, 30 Nov 2012 00:00:00 +0200 Guidelines for Protection against Overcurrent in Photovoltaic Generators http://dx.doi.org/10.4316/aece.2012.04010 http://dx.doi.org/10.4316/aece.2012.04010 O., GARCIA, J.-C., HERNANDEZ, F., JURADO, This paper gives the scientific background and basic premises that should guide the design of overcurrent protection in photovoltaic generators (PVGs). Overcurrent protection first requires a thorough knowledge of potential risk scenarios and how to evaluate them. Accordingly, this paper describes electrical faults that may pose a risk to PVG because of overcurrents. It also evaluates these faults with a dynamic PVG model. This simulation model provides a realistic vision of the thermal and electrical behavior of the PVG from which implications of overcurrent protection can be drawn. A field test on a functioning 68-kWp PVG showed the accuracy of the simulation results regarding the risk of overcurrents, and validated the model used in our study. Within this context, this paper discusses how protective measures in the IEC 60364-4-43 can be applied to PVG. Since the measures in this standard were specifically conceived for alternating current low voltage (AC LV) systems, the unique operational characteristics of a PVG now make it necessary to revise and adapt them. Fri, 30 Nov 2012 00:00:00 +0200 A New Method for EEG Compressive Sensing http://dx.doi.org/10.4316/aece.2012.04011 http://dx.doi.org/10.4316/aece.2012.04011 M., FIRA, L., GORAS, The paper investigates the possibility of using compressive sensing techniques for the acquisition and reconstruction of EEG signals containing the evoked potential P300. A method of EEG compressive sensing based on the physiological correlation of EEG channels is proposed. The reconstruction of 55 EEG channels signals acquired by compressive sensing uses a dictionary consisting of EEG signals from other nine channels with normal acquisition. Fri, 30 Nov 2012 00:00:00 +0200 Detecting Power Voltage Dips using Tracking Filters - A Comparison against Kalman http://dx.doi.org/10.4316/aece.2012.04012 http://dx.doi.org/10.4316/aece.2012.04012 I.-R., STANCIU, F., MOLNAR-MATEI, Due of its significant economical impact, Power-Quality (PQ) analysis is an important domain today. Severe voltage distortions affect the consumers and disturb their activity. They may be caused by short circuits (in this case the voltage drops significantly) or by varying loads (with a smaller drop). These two types are the PQ currently issues. Monitoring these phenomena (called dips or sags) require powerful techniques. Digital Signal Processing (DSP) algorithms are currently employed to fulfill this task. Discrete Wavelet Transforms, (and variants), Kalman filters, and S-Transform are currently proposed by researchers to detect voltage dips. This paper introduces and examines a new tool to detect voltage dips: the so-called tracking filters. Discovered and tested during the cold war, they can estimate a parameter of interest one-step-ahead based on the previously observed values. Two filters are implemented. Their performance is assessed by comparison against the Kalman filters results. Fri, 30 Nov 2012 00:00:00 +0200 Parameter Identification for a New Circuit Model Aimed to Predict Body Water Volume http://dx.doi.org/10.4316/aece.2012.04013 http://dx.doi.org/10.4316/aece.2012.04013 A.-G., GHEORGHE, C.-V., MARIN, F., CONSTANTINESCU, M., NITESCU, Intracellular and extracellular water volumes in the human body have been computed using a sequence of models starting with a linear first order RC circuit (Cole model) and finishing with the De Lorenzo model. This last model employs a fractional order impedance whose parameters are identified using the frequency characteristics of the impedance module and phase, the latter being not unique. While the Cole model has a two octaves frequency validity range, the De Lorenzo model can be used for three decades. A new linear RC model, valid for a three decades frequency range, is proposed. This circuit can be viewed as an extension of the Cole model for a larger frequency interval, unlike similar models proposed by the same authors. Fri, 30 Nov 2012 00:00:00 +0200 Design of Processor Array Based on an Optimized Multiprojection Approach http://dx.doi.org/10.4316/aece.2012.04014 http://dx.doi.org/10.4316/aece.2012.04014 J.-M, CAMPOS, R., CUMPLIDO, Parallelization methodologies allow to automate the process of designing optimal processor arrays based on mathematical representations of the algorithm to be implemented. In this work, an optimized multiprojection approach based on the Polytope model is proposed as well as an automated way for getting the scheduler and the allocator vectors. Using a recurrence equations representation, three key criteria for choosing the characteristics of the final implementation are also proposed. As a case of study, the methodology is applied on a matrix-vector multiplication example. Results and relevance of the proposed methodology are finally discussed. Fri, 30 Nov 2012 00:00:00 +0200 Automatic and Parallel Optimized Learning for Neural Networks performing MIMO Applications http://dx.doi.org/10.4316/aece.2013.01001 http://dx.doi.org/10.4316/aece.2013.01001 F. R., FULGINEI, A., LAUDANI, A., SALVINI, M., PARODI, An automatic and optimized approach based on multivariate functions decomposition is presented to face Multi-Input-Multi-Output (MIMO) applications by using Single-Input-Single-Output (SISO) feed-forward Neural Networks (NNs). Indeed, often the learning time and the computational costs are too large for an effective use of MIMO NNs. Since performing a MISO neural model by starting from a single MIMO NN is frequently adopted in literature, the proposed method introduces three other steps: 1) a further decomposition; 2) a learning optimization; 3) a parallel training to speed up the process. Starting from a MISO NN, a collection of SISO NNs can be obtained by means a multi-dimensional Single Value Decomposition (SVD). Then, a general approach for the learning optimization of SISO NNs is applied. It is based on the observation that the performances of SISO NNs improve in terms of generalization and robustness against noise under suitable learning conditions. Thus, each SISO NN is trained and optimized by using limited training data that allow a significant decrease of computational costs. Moreover, a parallel architecture can be easily implemented. Consequently, the presented approach allows to perform an automatic conversion of MIMO NN into a collection of parallel-optimized SISO NNs. Experimental results will be suitably shown. Thu, 28 Feb 2013 00:00:00 +0200 Ant System-Corner Insertion Sequence: An Efficient VLSI Hard Module Placer http://dx.doi.org/10.4316/aece.2013.01002 http://dx.doi.org/10.4316/aece.2013.01002 C.-S., HOO, K., JEEVAN, V., GANAPATHY, H., RAMIAH, Placement is important in VLSI physical design as it determines the time-to-market and chip's reliability. In this paper, a new floorplan representation which couples with Ant System, namely Corner Insertion Sequence (CIS) is proposed. Though CIS's search complexity is smaller than the state-of-the-art representation Corner Sequence (CS), CIS adopts a preset boundary on the placement and hence, leading to search bound similar to CS. This enables the previous unutilized corner edges to become viable. Also, the redundancy of CS representation is eliminated in CIS leads to a lower search complexity of CIS. Experimental results on Microelectronics Center of North Carolina (MCNC) hard block benchmark circuits show that the proposed algorithm performs comparably in terms of area yet at least two times faster than CS. Thu, 28 Feb 2013 00:00:00 +0200 Simulation of Higher-Order Electrical Circuits with Stochastic Parameters via SDEs http://dx.doi.org/10.4316/aece.2013.01003 http://dx.doi.org/10.4316/aece.2013.01003 L., BRANCIK, E., KOLAROVA, The paper deals with a technique for the simulation of higher-order electrical circuits with parameters varying randomly. The principle consists in the utilization of the theory of stochastic differential equations (SDE), namely the vector form of the ordinary SDEs. Random changes of both excitation voltage and some parameters of passive circuit elements are considered, and circuit responses are analyzed. The voltage and/or current responses are computed and represented in the form of the sample means accompanied by their confidence intervals to provide reliable estimates. The method is applied to analyze responses of the circuit models of optional orders, specially those consisting of a cascade connection of the RLGC networks. To develop the model equations the state-variable method is used, afterwards a corresponding vector SDE is formulated and a stochastic Euler numerical method applied. To verify the results the deterministic responses are also computed by the help of the PSpice simulator or the numerical inverse Laplace transforms (NILT) procedure in MATLAB, while removing random terms from the circuit model. Thu, 28 Feb 2013 00:00:00 +0200 A New Privacy-preserving Path Authentication Scheme using RFID for Supply Chain Management http://dx.doi.org/10.4316/aece.2013.01004 http://dx.doi.org/10.4316/aece.2013.01004 Y., LEE, Y., PARK, This paper presents a privacy-preserving path-authentication method for supply chain management using RFID. Compared with previous works, our scheme employs only symmetric encryption and message authentication codes. This reduces computation and communication overhead. The proposed method also supports high-level privacy without the need for tamper-proof tags as compared with the previous methods. Performance analysis demonstrates that the proposed scheme requires far less computation resource than recent works, proving that less than 1 minute is enough to verify 100000 RFIDs in a conventional reader environment. Thu, 28 Feb 2013 00:00:00 +0200 Performance Analysis and Modelling of a Radio Frequency Energy Harvesting System http://dx.doi.org/10.4316/aece.2013.01005 http://dx.doi.org/10.4316/aece.2013.01005 C., CIRSTEA, T., PETRITA, V., POPESCU, A., GONTEAN, The development of autonomous battery powered systems which can be deployed in inaccessible locations for sensing applications has determined the development of various energy harvesting systems. Such an energy harvester is the one developed by Powercast which can convert the energy of radio frequency signals into useful power. A model of the harvested power can prove to be a useful tool for simulation purposes as it can provide, to some extent, prior knowledge of available energy resources when optimally deploying sensor networks. To obtain an accurate model of the harvested energy we have developed an experimental setup which has been used to determine the harvested power in two different environments, a hallway and a parking lot. We have developed the experimental setup to determine the amount of power available at the output of the radio frequency harvester which consists of a current measurement system and a data acquisition system. We have also modeled through simulations the harvested power based on the characteristics of the transmitter and receiver antennas and those of the environment. We have compared the results obtained through in field measurement with the ones obtained through simulation and we have shown that within certain margins of error of maximum 2 dBm one can successfully predict the amount of energy the system can harvest. However the RF-DC and Boost converter efficiency are also key factors in the quantity of harvested energy. Thu, 28 Feb 2013 00:00:00 +0200 Digital Sliding Mode Control of Anti-Lock Braking System http://dx.doi.org/10.4316/aece.2013.01006 http://dx.doi.org/10.4316/aece.2013.01006 D. B., MITIC, S. Lj., PERIC, D. S., ANTIC, Z. D., JOVANOVIC, M. T., MILOJKOVIC, S. S., NIKOLIC, The control of anti-lock braking system is a great challenge, because of the nonlinear and complex characteristics of braking dynamics, unknown parameters of vehicle environment and system parameter variations. Using some of robust control methods, such as sliding mode control, can be a right solution for these problems. In this paper, we introduce a novel approach to design of ABS controllers, which is based on digital sliding mode control with only input/output measurements. The relay term of the proposed digital sliding mode control is filtered through digital integrator, reducing the chattering phenomenon in that way, and the additional signal of estimated modelling error is introduced into control algorithm to enhance the system steady-state accuracy. The given solution was verified in real experimental framework and the obtained results were compared with the results of implementation of two other digital sliding mode control algorithms. It is shown that it gives better system response, higher steady-state accuracy and smaller chattering. Thu, 28 Feb 2013 00:00:00 +0200 Parkinson's disease Assessment using Fuzzy Expert System and Nonlinear Dynamics http://dx.doi.org/10.4316/aece.2013.01007 http://dx.doi.org/10.4316/aece.2013.01007 O., GEMAN, C. O., TURCU, A., GRAUR, This paper proposes a new screening system for quantitative evaluation and analysis, designed for the early stage detection of Parkinson disease. This has been carried out in the view of improving the diagnosis currently established upon a basis of subjective scores. Parkinsons disease (PD) appears as a result of dopamine loss, a chemical mediator that is responsible for the bodys ability to control movements. The symptoms reflect the loss of nerve cells, due to an unknown. The input parameters of the system are represented by amplitude, frequency, the spectral characteristic and trembling localization. The main symptoms include trembling of hand, arms, movement difficulties, postural instability, disturbance of coordination and equilibrium, sleep disturbance, difficulties in speaking, reducing of voice volume. The medical knowledge in PD field is characterized by imprecision, uncertainty and vagueness. The proposed system (fuzzy expert systems) is non-invasive and, easy to use by both physicians and patients at home. Thu, 28 Feb 2013 00:00:00 +0200 Novel Interface for Simulation of Assembly Operations in Virtual Environments http://dx.doi.org/10.4316/aece.2013.01008 http://dx.doi.org/10.4316/aece.2013.01008 E.-G., CRACIUN, L., GRISONI, S.-G., PENTIUC, I., RUSU, The objective of this paper is to propose a new interface based on human gestures for simulation of assembly operation inside virtual environments. Using as a guide the current context for assembly simulation, we have analyzed the existing techniques used in developing gesture-based interface and extracted the constituent elements for an assembly gesture interface. The interface we propose offers support for assembly/disassembly operation, replace or delete components inside a virtual scene. To improve the current practice in virtual assembly simulation, our interface is an efficient method for assembly operations and a competitive approach for the current assembly simulation techniques. Thu, 28 Feb 2013 00:00:00 +0200 Analysis of Magnetization Switching via Vortex Formation in Soft Magnetic Nanoparticles http://dx.doi.org/10.4316/aece.2013.01009 http://dx.doi.org/10.4316/aece.2013.01009 M., DIMIAN, C., LEFTER, This paper illustrates quasi-static magnetization switching via vortex formation in soft magnetic nanoparticles of various shapes and sizes. The research is motivated by the rapid development of novel alternatives to the current paradigm of magnetic recording, which approaches its fundamental limits. The study is performed by using NMAG simulation environment which is a finite-element micro-magnetic simulation package based on Python scripts running on a Linux virtual machine. Various shapes and sizes are considered in this analysis of hysteresis phenomena and vortex formations in nanoparticles subject to different orientations of the magnetic field. Thu, 28 Feb 2013 00:00:00 +0200 New Space Vector Selection Scheme for VSI Supplied Dual Three-Phase Induction Machine http://dx.doi.org/10.4316/aece.2013.01010 http://dx.doi.org/10.4316/aece.2013.01010 D., MILICEVIC, V., KATIC, Z., CORBA, M., GRECONICI, This paper presents a novel space vector selection scheme applicable for the control of dual three-phase induction motor drives supplied from a six-phase voltage source inverter (VSI). The vector selection method is based on the vector space decomposition technique (VSD). Unique vector selection pattern simplifies problems related to complicated implementation of standard VSD in commercially available digital signals processors (DSP). The proposed vector selection scheme is verified through a theoretical analysis, computer simulations and practical experimental results conducted on a dual three-phase test rig prototype with control algorithm implemented in Texas Instruments TMS320F2808 DSP. Thu, 28 Feb 2013 00:00:00 +0200 An Effect of Noise in Printed Character Recognition System Using Neural Network http://dx.doi.org/10.4316/aece.2013.01011 http://dx.doi.org/10.4316/aece.2013.01011 S., GHEORGHITA, R., MUNTEANU, A., GRAUR, In this article we present the implementation of a neural network model trained with a high noise level using a backpropagation algorithm and the experimental results for printed character recognition, based on the idea of using the primary information by reorganising it in a different format. The values obtained at the outputs of each network are processed by using analysis algorithms designed for this purpose. The suggested model is made up of two neural networks and two analysis modules. In M1 Module we designed a value analysis algorithm for all the outputs of the two neural networks in order to select the best values provided by the networks. The M2 Module also contains a designed algorithm, which assesses the data based on the fact that the highest values are directly correlated with the probability of correctly identifying the characters entered into the networks. Results are obtained for noise of up to 50% applied to the input data. The values obtained at the outputs of the two modules emphasises the increase of the printed character recognition level up to 89.1% for the M1 module and up to 89.8% for the M2 module, the number of errors decreasing vis-a-vis the RNA2 network response from 12.5% to 10.9%, and 10.2%, respectively. In order to set up the hidden layer of 90 neurons, a value of 92% was obtained at the output of the M2 analysis module.The performed model increased the printed character recognition rate by using the same primary information in a different manner. The validity and functionality of the suggested model are confirmed by experimental results. Thu, 28 Feb 2013 00:00:00 +0200 Phase Coordinate System and p-q Theory Based Methods in Active Filtering Implementation http://dx.doi.org/10.4316/aece.2013.01012 http://dx.doi.org/10.4316/aece.2013.01012 M., POPESCU, A., BITOLEANU, V., SURU, This paper is oriented towards implementation of the main theories of powers in the compensating current generation stage of a three-phase three-wire shunt active power system. The system control is achieved through a dSPACE 1103 platform which is programmed under the Matlab/Simulink environment. Four calculation blocks included in a specifically designed Simulink library are successively implemented in the experimental setup. The first two approaches, namely those based on the Fryze-Buchholz-Depenbrock theory and the generalized instantaneous reactive power theory, make use of phase quantities without any transformation of the coordinate system and provide the basis for calculating the compensating current when total compensation is desired. The others are based on the p-q theory concepts and require the direct and reverse transformation to/from the two-phases stationary reference frame. They are used for total compensation and partial compensation of the current harmonic distortion. The experimental results, in terms of active filtering performances, validate the control strategies implementation and provide arguments in choosing the most appropriate method. Thu, 28 Feb 2013 00:00:00 +0200 Design and Analysis of an Axially Laminated Reluctance Motor for Variable-Speed Applications http://dx.doi.org/10.4316/aece.2013.01013 http://dx.doi.org/10.4316/aece.2013.01013 E. K., BESER, S., CAMUR, B., ARIFOGLU, E., BESER, In this paper, an axially laminated reluctance motor is presented. First, a set of a finite element analysis (FEA) on three different axially laminated rotor geometries was carried out and torque profiles of the rotors were predicted. The effect of the stator slot skewing on the torque profiles were also examined in the analysis. After deciding the rotor geometry, the mathematical model of the proposed motor was formed in terms of a,b,c variables and simulations were performed. Motor prototype and motor drive were introduced. Torque profiles of the motor were measured for different current values and load test were realized. Experimental results were compared to analysis and simulation results. There is a good accordance between experimental and simulation results. When the proposed motor is operated with electrical 120? mode as a brushless DC motor, the torque versus speed characteristic shows a DC series motor characteristic and speed of the motor can be easily controlled by regulating the bus voltage. These features make the proposed motor convenient for variable-speed applications such as electrical vehicles. Thu, 28 Feb 2013 00:00:00 +0200 Filter Influence on Rotor Losses in Coreless Axial Flux Permanent Magnet Machines http://dx.doi.org/10.4316/aece.2013.01014 http://dx.doi.org/10.4316/aece.2013.01014 J., SANTIAGO, J. G., OLIVEIRA, H., BERNHOFF, This paper investigates the eddy current losses induced in the rotor of coreless Axial-Flux machines. The calculation of eddy currents in the magnets requires the simulation of the inverter and the filter to obtain the harmonic content of the stator currents and FEM analysis of the magnets in the rotor. Due to the low inductance in coreless machines, the induced eddy current losses in the rotor remain lower than in traditional slotted machines. If only machine losses are considered, filters in DC/AC converters are not required in machines with wide airgaps as time harmonic losses in the rotor are very low.The harmonic content both from simulations and experimental results of a DC/AC converter are used to calculate the eddy currents in the rotor magnets. The properties of coreless machine topologies are investigated and some simplifications are proposed for time efficient 3D-FEM analysis. The time varying magnetic field can be considered constant over the magnets when the pole is divided in several magnets.The simplified FEM method to calculate eddy current losses is applicable to coreless machines with poles split into several magnets, although the conclusions are applicable to all coreless and slotless motors and generators. Thu, 28 Feb 2013 00:00:00 +0200 Segmentation of Bone Structure in X-ray Images using Convolutional Neural Network http://dx.doi.org/10.4316/aece.2013.01015 http://dx.doi.org/10.4316/aece.2013.01015 C., CERNAZANU-GLAVAN, S., HOLBAN, The segmentation process represents a first step necessary for any automatic method of extracting information from an image. In the case of X-ray images, through segmentation we can differentiate the bone tissue from the rest of the image. There are nowadays several segmentation techniques, but in general, they all require the human intervention in the segmentation process. Consequently, this article proposes a new segmentation method for the X-ray images using a Convolutional Neural Network (CNN). In present, the convolutional networks are the best techniques for image segmentation. This fact is demonstrated by their wide usage in all the fields, including the medical one. As the X-ray images have large dimensions, for reducing the training time, the method proposed by the present article selects only certain areas (maximum interest areas) from the entire image. The neural network is used as pixel classifier thus causing the label of each pixel (bone or none-bone) from a raw pixel values in a square area. We will also present the method through which the network final configuration was chosen and we will make a comparative analysis with other 3 CNN configurations. The network chosen by us obtained the best results for all the evaluation metrics used, i.e. warping error, rand error and pixel error. Thu, 28 Feb 2013 00:00:00 +0200 Integrated System Based on Wireless Sensors Network for Cardiac Arrhythmia Monitoring http://dx.doi.org/10.4316/aece.2013.01016 http://dx.doi.org/10.4316/aece.2013.01016 C., ROTARIU, V., MANTA, R., CIOBOTARIU, This paper describes the research carried out for designing and producing an integrated system for monitoring patients suffering from cardiac arrhythmias. Our system is based on a wireless sensors network (WSN) and can be used in hospital or at home. It is able to measure and transmit the patient's heart rate (HR) by radio to a central telemonitoring station. The HR is continuously computed from the electrocardiographic signals using custom developed devices. These devices are attached to the patient and are based on low power microcontrollers and wireless transceivers. The data is uploaded through WSN on the central telemonitoring station. The software running on the telemonitoring station receives the HRs from monitored patients through WSN, displays them as temporal waveforms and activates the alerts when HR arrhythmia is detected. An experimental system for cardiac arrhythmia has been designed, implemented and tested. Thu, 28 Feb 2013 00:00:00 +0200 Karatsuba-Ofman Multiplier with Integrated Modular Reduction for GF(2m) http://dx.doi.org/10.4316/aece.2013.02001 http://dx.doi.org/10.4316/aece.2013.02001 E., CUEVAS-FARFAN, M., MORALES-SANDOVAL, A., MORALES-REYES, C., FEREGRINO-URIBE, I., ALGREDO-BADILLO, P., KITSOS, R., CUMPLIDO, In this paper a novel GF(2m) multiplier based on Karatsuba-Ofman Algorithm is presented. A binary field multiplication in polynomial basis is typically viewed as a two steps process, a polynomial multiplication followed by a modular reduction step. This research proposes a modification to the original Karatsuba-Ofman Algorithm in order to integrate the modular reduction inside the polynomial multiplication step. Modular reduction is achieved by using parallel linear feedback registers. The new algorithm is described in detail and results from a hardware implementation on FPGA technology are discussed. The hardware architecture is described in VHDL and synthesized for a Virtex-6 device. Although the proposed field multiplier can be implemented for arbitrary finite fields, the targeted finite fields are recommended for Elliptic Curve Cryptography. Comparing other KOA multipliers, our proposed multiplier uses 36% less area resources and improves the maximum delay in 10%. Fri, 31 May 2013 00:00:00 +0300 System Modeling and Operational Characteristic Analysis for an Orbital Friction Vibration Actuator Used in Orbital Vibration Welding http://dx.doi.org/10.4316/aece.2013.02002 http://dx.doi.org/10.4316/aece.2013.02002 F., XU, J., HU, Y., LI, J., ZOU, Y., XU, J., SHANG, Orbital Friction Vibration Actuator (OFVA) is a core component of Orbital Friction Welding (OFW), which is a novel apertureless welding technology utilizing friction heat to implement solid-state joining. In this paper, topology and operational principle of OFVA are introduced, the analytical formulas of the electromagnetic force for the x and y directions, which can drive the mover to generate a circular motion trajectory, are derived, and the characteristic of static electromagnetic force is predicted by analytical method and 2-D (two-dimensional) FEM (finite element method), 3-D and measurement. The coupled magnetic field-circuit-motion simulation models which are driven by current and voltage source are established, respectively, and some of its operational characteristics are analyzed. Simulation and experiment validate theoretical analysis and the feasibility of the fabricated prototype, demonstrate the good performance of the OFVA, and provide valuable reference for engineering applications. Fri, 31 May 2013 00:00:00 +0300 Analog Frequency Tracking Filter http://dx.doi.org/10.4316/aece.2013.02003 http://dx.doi.org/10.4316/aece.2013.02003 A., ISAR, D., ISAR, This paper propose a new type of analog adaptive filter derived as a generalization of the concept of matched filter. We conceive such a filter to track the instantaneous frequency of frequency modulated signals. Some properties of the proposed analog frequency tracking filter are established using the time-frequency representations theory. A constructive solution, based on common analog integrated circuits, is also proposed. The performance of the analog frequency tracking filter built is evaluated by measurements. Finally, some possible applications are highlighted. Fri, 31 May 2013 00:00:00 +0300 STFTP: Secure TFTP Protocol for Embedded Multi-Agent Systems Communication http://dx.doi.org/10.4316/aece.2013.02004 http://dx.doi.org/10.4316/aece.2013.02004 G., HORVAT, D., ZAGAR, G., MARTINOVIC, Today's embedded systems have evolved into multipurpose devices moving towards an embedded multi-agent system (MAS) infrastructure. With the involvement of MAS in embedded systems, one remaining issues is establishing communication between agents in low computational power and low memory embedded systems without present Embedded Operating System (EOS). One solution is the extension of an outdated Trivial File Transfer Protocol (TFTP). The main advantage of using TFTP in embedded systems is the easy implementation. However, the problem at hand is the overall lack of security mechanisms in TFTP. This paper proposes an extension to the existing TFTP in a form of added security mechanisms: STFTP. The authentication is proposed using Digest Access Authentication process whereas the data encryption can be performed by various cryptographic algorithms. The proposal is experimentally tested using two embedded systems based on micro-controller architecture. Communication is analyzed for authentication, data rate and transfer time versus various data encryption ciphers and files sizes. STFTP results in an expected drop in performance, which is in the range of similar encryption algorithms. The system could be improved by using embedded systems of higher computational power or by the use of hardware encryption modules. Fri, 31 May 2013 00:00:00 +0300 Self-Configurable FPGA-Based Computer Systems http://dx.doi.org/10.4316/aece.2013.02005 http://dx.doi.org/10.4316/aece.2013.02005 A., MELNYK, V., MELNYK, Method of information processing in reconfigurable computer systems is formulated and its improvements that allow an information processing efficiency to increase are proposed. New type of high-performance computer systems, which are named self-configurable FPGA-based computer systems and perform information processing according to this improved method, is proposed. The structure of self-configurable FPGA-based computer systems, rules of application of computer software and hardware means, which are necessary for these systems implementation, are described and their execution time characteristics are estimated. The directions for further works are discussed. Fri, 31 May 2013 00:00:00 +0300 Asymmetrical Two-Level Scalar Quantizer with Extended Huffman Coding for Compression of Laplacian Source http://dx.doi.org/10.4316/aece.2013.02006 http://dx.doi.org/10.4316/aece.2013.02006 Z., PERIC, J., NIKOLIC, L., VELIMIROVIC, M., STANKOVIC, D., ALEKSIC, This paper proposes a novel model of the two-level scalar quantizer with extended Huffman coding. It is designed for the average bit rate to approach the source entropy as close as possible provided that the signal to quantization noise ratio (SQNR) value does not decrease more than 1 dB from the optimal SQNR value. Assuming the asymmetry of representation levels for the symmetric Laplacian probability density function, the unequal probabilities of representation levels are obtained, i.e. the proper basis for further implementation of lossless compression techniques is provided. In this paper, we are concerned with extended Huffman coding technique that provides the shortest length of codewords for blocks of two or more symbols. For the proposed quantizer with extended Huffman coding the convergence of the average bit rate to the source entropy is examined in the case of two to five symbol blocks. It is shown that the higher SQNR is achieved by the proposed asymmetrical quantizer with extended Huffman coding when compared with the symmetrical quantizers with extended Huffman coding having equal average bit rates. Fri, 31 May 2013 00:00:00 +0300 Antenna Radiation Pattern Influence on the Localization Accuracy in Wireless Sensor Networks http://dx.doi.org/10.4316/aece.2013.02007 http://dx.doi.org/10.4316/aece.2013.02007 E., COCA, V., POPA, Localization or position determination is one of the most common applications for the wireless sensor networks. Many investigations have been made during the last decade, most of the effort being concentrated in the direction of improving the accuracy of the positioning results by using complex filtering and correction algorithms, and other techniques such as radio maps or directive antennas for the reference nodes. The most common sources of errors include reflections on nearby objects, radio frequency noise, and variable characteristics of the communication channel. In the vast majority of cases, several assumptions have been made in order to simplify the computing algorithms or the complexity of nodes, and finally their cost. The omnidirectional radiation pattern of the node antennas is such an assumption. In this paper we investigate theoretically and validate by measurements the influence of the radiation pattern on the localization accuracy of a wireless sensor node network. By taking into consideration the orientation of nodes, which could be provided by a local digital compass on each node, we demonstrate that the position accuracy could be improved with a minimum of resources. All measurements were made in radio emissions controlled environment - a semi-anechoic chamber, without affecting the generality of the proposed solution. Fri, 31 May 2013 00:00:00 +0300 Inter ISO Market Coordination by Calculating Border Locational Marginal Prices http://dx.doi.org/10.4316/aece.2013.02008 http://dx.doi.org/10.4316/aece.2013.02008 A. B., BABIC, A. T., SARIC, In this paper the methodology for solving Locational Marginal Price (LMP) differences (inconsistency of LMPs) that arise at the boundary buses between separate power markets is proposed. The algorithm developed enables us to obtain consistent LMP values at the boundary buses between interconnected ISOs. A Primal-Dual Interior Point based optimal power flow (OPF) is applied, with complete set of power system physical limit constraints, to solve a regional spot market. The OPF is implemented such that producer and consumer behaviors are modeled simultaneously, while the welfare is maximized. In this paper a generalized methodology for multiple ISOs case is proposed and later it is practically applied on two interconnected independent entities. The algorithm for approximation of cost coefficients of generators and dispatchable loads for neighboring ISOs is proposed. The developed algorithm enables participating ISOs to obtain LMPs at the boundary buses with other interconnected ISOs. By controlling interchange of electric power at the scheduled level, regional spot markets are resolved eliminating possible exercise of market power by individual interconnected ISOs. Results of proposed methodology are tested on the IEEE 118-bus power system. Fri, 31 May 2013 00:00:00 +0300 Dual Cage High Power Induction Motor with Direct Start-up. Design and FEM Analysis http://dx.doi.org/10.4316/aece.2013.02009 http://dx.doi.org/10.4316/aece.2013.02009 L., LIVADARU, A., SIMION, A., MUNTEANU, M., COJAN, O., DABIJA, This paper presents an investigation on the design of high-power induction motor with special constraints. Direct online start-up and pull-up torque of rather high value represent two of the imposed requirements. Three different structures are analyzed, which involve deep bars, magnetic wedges and double cage respectively. The proposed solution advances a new rotor structure with two different rotor cages. The first cage acts mainly during start-up and is made of iron with both electric and magnetic properties. The second one is made of copper and represents the main rotor winding. It has a particular cross-section of the bars in order to carry into effect the required constraints both during start-up and steady-state. The proposed models are finally evaluated by means of finite element method analysis. Fri, 31 May 2013 00:00:00 +0300 Comparing the Robustness of Evolutionary Algorithms on the Basis of Benchmark Functions http://dx.doi.org/10.4316/aece.2013.02010 http://dx.doi.org/10.4316/aece.2013.02010 E., DENIZ ULKER, A., HAYDAR, In real-world optimization problems, even though the solution quality is of great importance, the robustness of the solution is also an important aspect. This paper investigates how the optimization algorithms are sensitive to the variations of control parameters and to the random initialization of the solution set for fixed control parameters. The comparison is performed of three well-known evolutionary algorithms which are Particle Swarm Optimization (PSO) algorithm, Differential Evolution (DE) algorithm and the Harmony Search (HS) algorithm. Various benchmark functions with different characteristics are used for the evaluation of these algorithms. The experimental results show that the solution quality of the algorithms is not directly related to their robustness. In particular, the algorithm that is highly robust can have a low solution quality, or the algorithm that has a high quality of solution can be quite sensitive to the parameter variations. Fri, 31 May 2013 00:00:00 +0300 Design of Novel Precise Quadrature Oscillators Employing ECCIIs with Electronic Control http://dx.doi.org/10.4316/aece.2013.02011 http://dx.doi.org/10.4316/aece.2013.02011 R., SOTNER, A., LAHIRI, A., KARTCI, N., HERENCSAR, J., JERABEK, K., VRBA, In this paper, an interesting design of precise quadrature oscillator employing electronically controllable current conveyors of the second generation (ECCII) is presented. The main purpose of this paper is to show advantages and features of direct electronic control of application by an adjustable current gain where help of signal flow graph approach was used to clearer and visual understanding of the design. The discussed circuit and its presented modification have several favorable features such as grounded capacitors, independent electronic adjusting of oscillation frequency and condition of oscillation by the current gain and easy automatic gain control circuit (AGC) implementation (non-ideal effects of tuning process on output amplitudes are suppressed). Oscillator was designed for frequency band of units of MHz and tested with two types of inertial AGCs. Theoretical presumptions were confirmed by laboratory experiments. Fri, 31 May 2013 00:00:00 +0300 System Optimization Using a Parallel Stochastic Approach http://dx.doi.org/10.4316/aece.2013.02012 http://dx.doi.org/10.4316/aece.2013.02012 K., ZAPLATILEK, J., LEUCHTER, This paper describes an original stochastic algorithm based on a parallel approach. The algorithm is suitable especially for a real technical system optimization. A few independent pseudorandom generators are used. They generate independent variable vectors along all of the optimized system axes. Local optimal values are used to define a final pseudorandom generator with a narrower interval around the global optimum. Theoretical foundations are introduced and a few practical experiments are presented. The described method is also suitable for the quality classification of the pseudorandom generators using the selected RGB color scheme. Main advantages of this approach are discussed. The algorithm was developed in the MATLAB environment. Fri, 31 May 2013 00:00:00 +0300 On the Influence of the Extrinsic Information Scaling Coefficient on the Performance of Single and Double Binary Turbo Codes http://dx.doi.org/10.4316/aece.2013.02013 http://dx.doi.org/10.4316/aece.2013.02013 H., BALTA, C., DOUILLARD, This paper presents a study on the influence of the extrinsic information scaling coefficient value (eic) on the bit and frame error rate (BER/FER), for single and double binary turbo codes (S/DBTC) decoded with maximum a posteriori (MAP) and maximum logarithmic MAP (MaxLogMAP) component algorithms. Firstly, we estimate the distance spectrum of the code with the so-called error impulse method (EIM), and we analyze its dependence as well as the dependence of the asymptotic FER on eic. Secondly, we estimate the actual FER using Monte Carlo simulations with eic as a parameter. The comparison of the FER(eic) curves obtained by the two methods allows us, on the one hand, to assess the quality of the decoding algorithms, and on the other hand, to estimate the very low BER/FER performance of TCs, where the Monte Carlo method is practically unusable. The results presented also provide a practical guide for the appreciation of the optimal value of the scaling factor, eic. We may notice that also the MAP algorithm performance could be improved using eic<1. Fri, 31 May 2013 00:00:00 +0300 Autonomous Three-Phase Induction Generator Supplying Unbalanced Loads http://dx.doi.org/10.4316/aece.2013.02014 http://dx.doi.org/10.4316/aece.2013.02014 C. P., ION, C., MARINESCU, This paper presents a control method for a stand-alone micro hydro with induction generator (IG) supplying unbalanced three-phase loads. Besides voltage and frequency regulation, the phase balancing is ensured for this particular operating regime. The proposed control topology relies on a combination between a voltage source inverter (VSI) and a dump load (DL). The VSI imposes the system frequency and performs the unbalances compensation, while the DL deals with the voltage regulation. Experiments have yielded the reliability of this configuration during generator loading and unbalanced loads supply. Fri, 31 May 2013 00:00:00 +0300 HDTV System for Parkinson's Disease Diagnosis http://dx.doi.org/10.4316/aece.2013.02015 http://dx.doi.org/10.4316/aece.2013.02015 S., POHOATA, A., GRAUR, Health care is facing major challenges and information technologies play an important role in disease management. Cost issues raised by many medical problems that society has to face involve a superior approach to the diagnosis of the diseases that characterize the modern world. In this paper, we suggest the implementation of a high definition video system in the early management of Parkinson's disease. The High-Definition Television Video System (HDTV) is designed to record suspicious patients, on their inhabitancy, in order to detect tremor and analyze its evolution. Also, after testing HDTV system functionality, an alternative method is proposed for video sequences assessing in order to eliminate uncertainty and provide an adequate telediagnosis. Fri, 31 May 2013 00:00:00 +0300 Logarithmic Type Image Processing Framework for Enhancing Photographs Acquired in Extreme Lighting http://dx.doi.org/10.4316/aece.2013.02016 http://dx.doi.org/10.4316/aece.2013.02016 C., FLOREA, L., FLOREA, The Logarithmic Type Image Processing (LTIP) tools are mathematical models that were constructed for the representation and processing of gray tones images. By careful redefinition of the fundamental operations, namely addition and scalar multiplication, a set of mathematical properties are achieved. Here we propose the extension of LTIP models by a novel parameterization rule that ensures preservation of the required cone space structure. To prove the usability of the proposed extension we present an application for low-light image enhancement in images acquired with digital still camera. The closing property of the named model facilitates similarity with human visual system and digital camera processing pipeline, thus leading to superior behavior when compared with state of the art methods. Fri, 31 May 2013 00:00:00 +0300 Aspects Concerning the Torque Ripple Control of the Brushless DC Motor http://dx.doi.org/10.4316/aece.2013.02017 http://dx.doi.org/10.4316/aece.2013.02017 G., BALUTA, G., URSANU, This paper deals with two advanced numerical structures to control the electromagnetic torque ripple of Brushless Direct Current Motors (BLDCM), indirectly achieved by phase currents control and directly by the Direct Torque Control (DTC) technique. In DTC there was implemented an observer to increase the rudimentary transducer resolution, containing three Hall Effect sensors. The experimental results describe the evolution of torque in both situations of control and are obtained by applying a control strategy for an electric drive system with BLDCM with trapezoidal Back-EMF in Two-Phase Mode. Fri, 31 May 2013 00:00:00 +0300 Experimental System for Monitoring and Diagnosis of a Static Power Converter http://dx.doi.org/10.4316/aece.2013.02018 http://dx.doi.org/10.4316/aece.2013.02018 V. I., IVANOV, M. D., BROJBOIU, S. S., IVANOV, The evolution of the computer aided design and control technologies in the field of static power converters leads also to diagnosis systems which include modules based on artificial intelligence. In order to achieve satisfactory reliability, the static power converters must even be assembled by using high reliability devices and/or be conceived as redundant topologies. The paper presents a dedicated monitoring and diagnosis system of the static power converters. It can be used both for the diagnosis of the transistors within an inverter as well as for the analysis and diagnosis of a power bridge rectifier. The diagnosis system dedicated to the power rectifiers uses the fault tree method. Based on the symptoms observed in the behavior of the power rectifiers, the diagnosis and the functional test performed by the developed system is based on consideration of the abnormal comportments and the faults which determine these. The experimental system dedicated to the bridge rectifiers analyses and identifies the causes of the faults which occur during the operation and reduces the displayed results if two sets of values of the sources which determine the same answer, differ by a single input. Fri, 31 May 2013 00:00:00 +0300 Efficient Use of Preisach Hysteresis Model in Computer Aided Design http://dx.doi.org/10.4316/aece.2013.02019 http://dx.doi.org/10.4316/aece.2013.02019 V., IONITA, L., PETRESCU, A., BORDIANU, O., TABARA, The paper presents a practical detailed analysis regarding the use of the classical Preisach hysteresis model, covering all the steps, from measuring the necessary data for the model identification to the implementation in a software code for Computer Aided Design (CAD) in Electrical Engineering. An efficient numerical method is proposed and the hysteresis modeling accuracy is tested on magnetic recording materials. The procedure includes the correction of the experimental data, which are used for the hysteresis model identification, taking into account the demagnetizing effect for the sample that is measured in an open-circuit device (a vibrating sample magnetometer). Fri, 31 May 2013 00:00:00 +0300 Multi-Layer Real-Time Support for JVM-based Smart Phone Systems http://dx.doi.org/10.4316/aece.2013.03001 http://dx.doi.org/10.4316/aece.2013.03001 Y., WOO, D., LIM, Y., JUNG, E., SEO, Employing the Java virtual machine (JVM) architecture provides smart phone systems stability and security by sandboxing third-party applications and controlling their behavior. However, the JVM layer hinders applications from notifying the operating system scheduler about their timeliness requirements; therefore, applications sometimes fail to respond on time. In order to improve the responsiveness of smart phone applications, this paper proposes two schemes. First, for existing applications that cannot be rebuilt, we modify the kernel scheduler to value task priorities over fairness. Second, we propose cross-layer real-time support APIs to deliver applications' priorities to the kernel scheduler, which will help developers to add real-time scheduling support to their applications. Our prototype demonstrates that the suggested schemes dramatically improve response times and throughputs of prioritized applications. Sat, 31 Aug 2013 00:00:00 +0300 Automatic Building Extraction from Terrestrial Laser Scanning Data http://dx.doi.org/10.4316/aece.2013.03002 http://dx.doi.org/10.4316/aece.2013.03002 W., HAO, Y., WANG, X., NING, M., ZHAO, J., ZHANG, Z., SHI, X., ZHANG, The extraction of building from the huge amount of point clouds with different local densities, especially in the presence of random noisy points, is still a formidable challenge. In this paper, we present a complete strategy for building extraction from terrestrial laser scanning data. First, a novel segmentation method is proposed to facilitate the task of building extraction. The points are grouped based on the normals and the adjacency relationships. Second, the planar surfaces are recognized from the segmentation results based on the properties of the Gaussian image. Finally, the buildings are extracted from the urban point clouds based on a collection of characteristics of point cloud segments like shape, normal direction and topological relationship. Experimental results demonstrate that the proposed method can be used as a robust way to extract buildings from terrestrial laser scanning data. At the same time, the buildings are decomposed into several patches which lay a good foundation for building reconstruction. Sat, 31 Aug 2013 00:00:00 +0300 Stability Analysis of a Microgrid System based on Inverter-Interfaced Distributed Generators http://dx.doi.org/10.4316/aece.2013.03003 http://dx.doi.org/10.4316/aece.2013.03003 F., ANDRADE, K., KAMPOUROPOULOS, J., CUSIDO, L., ROMERAL, This paper presents a phase-plane trajectory analysis and the appliance of Lyapunov's methodology to evaluate the stability limits of a small signal model of a Microgrid system. The work done is based on a non-linear tool and several computer simulations. The study indicates how to analyze a Microgrid system that is subjected to a severe transient disturbance by using its large signal model without the necessity of the small signal analysis as it is commonly applied. Sat, 31 Aug 2013 00:00:00 +0300 Building a Module for Inserting Microformats into Moodle http://dx.doi.org/10.4316/aece.2013.03004 http://dx.doi.org/10.4316/aece.2013.03004 I., ERMALAI, B., DRAGULESCU, A., TERNAUCIUC, R., VASIU, Information found nowadays on the World Wide Web is generally regarded as limitless. Hence emerged the need to find methods for organizing data in order to get better information retrieval. Organizing web content does not implicitly mean structuring data by attaching meaning to the information published on the web - at least not yet. For instance, content management systems (CMS) are tools that provide means of organizing web data. Nevertheless only a handful of CMSs have a semantic layer. The following paper offers an in-depth description of the logic and the implementation behind the method used to integrate microformats - also known as the lower-case semantic web- into the widely known learning content management system Moodle, personalized to suit the needs of students attending the Politehnica University of Timisoara. It is an easy to use, easy to integrate solution that does not require any changes in the core of Moodle and, moreover, it does not overrun the server, as the decision block runs on the users' computer. Sat, 31 Aug 2013 00:00:00 +0300 New Fault Discrimination under the Influence of Rayleigh Noise http://dx.doi.org/10.4316/aece.2013.03005 http://dx.doi.org/10.4316/aece.2013.03005 Y., ZHANG, Z., WANG, The researches in this paper mainly provide service for wide area adaptive backup protection. A new fault discriminant technology based on the criterion for fault category and non-fault category will be explored. In the researches, for the common fault types in power system, fully considering the influence of wind power, we have discussed the new fault discriminant technology under Rayleigh noise. Simulation results have shown that even there are random disturbances from Rayleigh noise, the criterion for fault category and non-fault category can still accurately identify system faults. Sat, 31 Aug 2013 00:00:00 +0300 Simulation Model of the ANC System for Noise Reduction in the Real Ambient http://dx.doi.org/10.4316/aece.2013.03006 http://dx.doi.org/10.4316/aece.2013.03006 Z. N., MILIVOJEVIC, V. O., STOJANOVIC, The simulation model of ANC system for noise reduction caused by rotating machines in a room was described in the first part of this paper. This simulation model was presented in an acoustic-electrical diagram. The detailed mathematical analysis of the adaptive algorithm was performed. The second part of the paper presents the simulation results of the application of the ANC system for the noise reduction of fans in a room intended for a classroom. Simulation was performed for sine and real aroused signal. The results are presented both numerically and graphically and the comparative analysis was also done. Sat, 31 Aug 2013 00:00:00 +0300 A Time Delay Estimation Method Based on Wavelet Transform and Speech Envelope for Distributed Microphone Arrays http://dx.doi.org/10.4316/aece.2013.03007 http://dx.doi.org/10.4316/aece.2013.03007 Z., CHEN, S., WANG, F., YIN, A time delay estimation method based on wavelet transform and speech envelope is proposed for distributed microphone arrays. This method first extracts the speech envelopes of the signals processed with multi-level discrete wavelet transform, and then makes use of the speech envelopes to estimate a coarse time delay. Finally it searches for the accurate time delay near the coarse time delay by the cross-correlation function calculated in time domain. The simulation results illustrate that the proposed method can accurately estimate the time delay between two distributed microphone array signals. Sat, 31 Aug 2013 00:00:00 +0300 Rapid Prototyping of Sub-band Acoustic Echo Cancellers on FPGA Platforms http://dx.doi.org/10.4316/aece.2013.03008 http://dx.doi.org/10.4316/aece.2013.03008 I., MURESAN, B. S., KIREI, C., CONTAN, M. D., TOPA, The paper focuses on a rapid prototyping technique of an acoustic echo canceller implemented on an FPGA platform. The goal is to reduce design, optimization and implementation cost and execution time. In complex signal processing applications, high-order adaptive filter structures suffer from decreased convergence speed and high computational complexity. The sub-band adaptive filtering technique is able to eliminate these disadvantages. The execution time of the echo cancellation in an acoustic enclosure is decreased using multi-rate digital signal processing. To speed-up the execution time of a common acoustic echo canceller, the sub-band decomposition of the source signal is proposed. Here, this procedure is implemented using the Xilinx System Generator library. The hardware implementation of the well-known NLMS adaptive algorithm was carried out. Moreover, the FIR filters in the analysis and synthesis banks are designed with the window method (using the Kaiser window), as the determination of the filter's coefficients is an important procedure to eliminate the alias. The alias occurs due to the usage of multi-rate systems. Hardware implementations that test the behavior of the proposed system were tested for nonstationary input signals. Results show superior tracking abilities of the designed system. Also, an estimation of the FPGA resources is established in each case. The ML501 Xilinx FPGA development board was used for its specific digital signal processing facilities. Sat, 31 Aug 2013 00:00:00 +0300 Group Elevator Peak Scheduling Based on Robust Optimization Model http://dx.doi.org/10.4316/aece.2013.03009 http://dx.doi.org/10.4316/aece.2013.03009 J., ZHANG, Q., ZONG, Scheduling of Elevator Group Control System (EGCS) is a typical combinatorial optimization problem. Uncertain group scheduling under peak traffic flows has become a research focus and difficulty recently. RO (Robust Optimization) method is a novel and effective way to deal with uncertain scheduling problem. In this paper, a peak scheduling method based on RO model for multi-elevator system is proposed. The method is immune to the uncertainty of peak traffic flows, optimal scheduling is realized without getting exact numbers of each calling floor's waiting passengers. Specifically, energy-saving oriented multi-objective scheduling price is proposed, RO uncertain peak scheduling model is built to minimize the price. Because RO uncertain model could not be solved directly, RO uncertain model is transformed to RO certain model by elevator scheduling robust counterparts. Because solution space of elevator scheduling is enormous, to solve RO certain model in short time, ant colony solving algorithm for elevator scheduling is proposed. Based on the algorithm, optimal scheduling solutions are found quickly, and group elevators are scheduled according to the solutions. Simulation results show the method could improve scheduling performances effectively in peak pattern. Group elevators' efficient operation is realized by the RO scheduling method. Sat, 31 Aug 2013 00:00:00 +0300 Design Solutions for Reducing the Cogging Torque of PMSM http://dx.doi.org/10.4316/aece.2013.03010 http://dx.doi.org/10.4316/aece.2013.03010 T., TUDORACHE, M., MODREANU, This paper analyzes design solutions able to reduce the Cogging Torque (CT) amplitude of Permanent Magnet Synchronous Machines (PMSMs). The common point of these solutions is the particular constructions of the stator magnetic core from two concentric steel lamination stacks that leads to a closed stator slots structure in the air-gap region. The efficiency of the studied solutions is evaluated by Finite Element (FE) analysis for two different types of PMSMs: the first one with Surface Permanent Magnets (SPMs) and the second one with Interior Permanent Magnets (IPMs). The influence of the special stator constructions on the performances of the two types of machines is emphasized also in the paper, with positive and negative effects. This study proves that a PMSM whose stator magnetic core is designed as shown, leads to an important decrease of CT amplitude in comparison with a classical machine. Moreover, the studied design solutions may be mixed with other CT reduction methods so as to optimize the overall PMSM performance. A part of the numerical model results were experimentally validated. Sat, 31 Aug 2013 00:00:00 +0300 Interval Type-2 Fuzzy Logic Controller Based Maximum Power Point Tracking in Photovoltaic Systems http://dx.doi.org/10.4316/aece.2013.03011 http://dx.doi.org/10.4316/aece.2013.03011 N., ALTIN, In this paper, interval type-2 fuzzy logic controller based maximum power point tracking method is proposed for photovoltaic systems. The proposed interval type-2 fuzzy logic controller has two inputs and one output. Rate of change in photovoltaic system output power and rate of change in photovoltaic system terminal voltage are selected as input variables and change in duty cycle as output variable. Seven type-2 membership functions are used for determined input and output variables of fuzzy logic controller. Since type-2 fuzzy sets are used, effect of uncertainties on maximum power point tracking capability is removed. Operation point of the photovoltaic system is controlled via a boost type DC-DC converter. Simulation results show that the proposed maximum power point tracking method provides fast dynamic response, and it is also useful for rapidly changing atmospheric conditions. Sat, 31 Aug 2013 00:00:00 +0300 3D Hand Gesture Recognition using the Hough Transform http://dx.doi.org/10.4316/aece.2013.03012 http://dx.doi.org/10.4316/aece.2013.03012 S., OPRISESCU, E., BARTH, This paper presents an automatic 3D dynamic hand gesture recognition algorithm relying on both intensity and depth information provided by a Kinect camera. Gesture classification consists of a decision tree constructed on six parameters delivered by the Hough transform of projected 3D points. The Hough transform is originally applied, for the first time, on the projected gesture trajectories to obtain a reliable decision. The experimental data obtained from 300 video sequences with different subjects validate the proposed recognition method. Sat, 31 Aug 2013 00:00:00 +0300 Quantum Image Filtering in the Frequency Domain http://dx.doi.org/10.4316/aece.2013.03013 http://dx.doi.org/10.4316/aece.2013.03013 S., CARAIMAN, V. I., MANTA, In this paper we address the emerging field of Quantum Image Processing. We investigate the use of quantum computing systems to represent and manipulate images. In particular, we consider the basic task of image filtering. We prove that a quantum version for this operation can be achieved, even though the quantum convolution of two sequences is physically impossible. In our approach we use the principle of the quantum oracle to implement the filter function. We provide the quantum circuit that implements the filtering task and present the results of several simulation experiments on grayscale images. There are important differences between the classical and the quantum implementations for image filtering. We analyze these differences and show that the major advantage of the quantum approach lies in the exploitation of the efficient implementation of the quantum Fourier transform. Sat, 31 Aug 2013 00:00:00 +0300 A Comparison of X-Ray Image Segmentation Techniques http://dx.doi.org/10.4316/aece.2013.03014 http://dx.doi.org/10.4316/aece.2013.03014 C., STOLOJESCU-CRISAN, S., HOLBAN, Image segmentation operation has a great importance in most medical imaging applications, by extracting anatomical structures from medical images. There are many image segmentation techniques available in the literature, each of them having advantages and disadvantages. The extraction of bone contours from X-ray images has received a considerable amount of attention in the literature recently, because they represent a vital step in the computer analysis of this kind of images. The aim of X-ray segmentation is to subdivide the image in various portions, so that it can help doctors during the study of the bone structure, for the detection of fractures in bones, or for planning the treatment before surgery. The goal of this paper is to review the most important image segmentation methods starting from a data base composed by real X-ray images. We will discuss the principle and the mathematical model for each method, highlighting the strengths and weaknesses. Sat, 31 Aug 2013 00:00:00 +0300 Stator Design and Air Gap Optimization of High Speed Drag-Cup Induction Motor using FEM http://dx.doi.org/10.4316/aece.2013.03015 http://dx.doi.org/10.4316/aece.2013.03015 M. V., TERZIC, D. S., MIHIC, S. N., VUKOSAVIC, A huge number of modern applications nowadays require the use of high speed electrical machines which need to be highly optimized in order to achieve the best efficiency and the lowest mass and price. The low rotor inertia is also an important requirement in order to reduce rotor kinetic energy. The subject of this paper is high speed drag-cup induction motor (IM) with low inertia which is designed for use as an auxiliary motor in automotive systems such as Kinetic Energy Recovery System (KERS) in Formula 1. This work presents the procedure for stator design and optimization of the air gap length and rotor thickness of this kind of motor in order to achieve the highest efficiency in the speed range of interest. Simple procedure for stator dimensioning was developed and it was shown how the optimal number of stator conductors could be calculated. The effect of change in rotor thickness and air gap lengths on motor performance is demonstrated through some analytical considerations. The machine is then modeled in FEM software by means of which the optimization of the air gap and rotor thickness was performed. At the end, the simulation results were presented and analyzed and conclusions were drawn. Sat, 31 Aug 2013 00:00:00 +0300 Enhanced Segment Compression Steganographic Algorithm http://dx.doi.org/10.4316/aece.2013.03016 http://dx.doi.org/10.4316/aece.2013.03016 I. G., BUCUR, D., STANESCU, M., STRATULAT, Steganography is the science and art of concealing messages using techniques that allow only the sender and receiver to know of the messages existence and be able to decipher it. In this article, we would like to present a new steganographic technique for concealing digital images: the Enhanced Segment Compression Steganographic Algorithm (ESCSA). We start by mentioning several desired properties that we have taken into consideration for our algorithm. Next, we define some quality metrics with which we can measure how well / to what extent those properties are achieved. A detailed presentation of the component parts of the algorithm follows, accompanied by quantitative analyses of parameters of interest. Finally, we discuss the strengths and weaknesses of our algorithm. In addition, we make a few suggestions regarding possible further refinements of the ESCSA. Sat, 31 Aug 2013 00:00:00 +0300 A New Method for Calculating the Transfer Functions in Quasiresonant Converters http://dx.doi.org/10.4316/aece.2013.03017 http://dx.doi.org/10.4316/aece.2013.03017 M., LASCU, A matrix method for deriving the audiosusceptibility and the control to output transfer functions in quasiresonant converters (QRCs) is presented. The method is based on the state-space description of the parent converter and it has the advantage of generality in the sense it can be applied to any topology. Moreover, it can be easily absorbed in MATLAB under Symbolic Toolbox, substantially reducing the calculation effort and time. Using this method the control to output transfer function of the QRC Cuk converter is calculated for the first time. The method is verified compared to other tools and perfect agreement is observed for second order classical converters. Sat, 31 Aug 2013 00:00:00 +0300 Estimating Probability of Gas Breakdown Using Grey-Fuzzy Logic http://dx.doi.org/10.4316/aece.2013.03018 http://dx.doi.org/10.4316/aece.2013.03018 M.-J., CHEN, Y.-C., WU, K.-L., WEN, M.-T., TSAI, Designing the protection system of high voltage power systems involves elucidating the properties of gas breakdown. This work presents a simplified mathematical approach based on grey and fuzzy methods to estimate the probability of gas breakdown, which differs from other grey-fuzzy methods. With the help of the data normalization process and a linear fuzzy membership function in determining the proper value of the distinguishing coefficient, the proposed approach outperforms other grey-fuzzy-based methods, the curve fitting method, and the neural network method in terms of estimation accuracy. The average relative error of test cases 1 and 2 with the normalization processing is 6.43%, which is 2.53 lower than that of the neural network method, 4.35% lower than that of the curve fitting method, 17.64 lower than that of the 5-interval max-max fuzzy-grey method, 1.51% lower than that of the 5-interval min-min fuzzy-grey method, 13.87% lower than that of the 3-interval max-max method, and 2.72% lower than that of the 3-interval min-min method. Sat, 31 Aug 2013 00:00:00 +0300 Threads Pipelining on the CellBE Systems http://dx.doi.org/10.4316/aece.2013.03019 http://dx.doi.org/10.4316/aece.2013.03019 C. A., TANASE, V. G., GAITAN, This article aims to describe a model to accelerate the execution of a parallel algorithm implemented on a Cell B.E. processor. The algorithm implements a technique of finding a moving target in a maze with dynamic architecture, using another technique of pipelining the data transfers between the PPU and SPU threads. We have shown that by using the pipelining technique, we can achieve an improvement of the computing time (around 40%). It can be also seen that the pipelining technique with one SPU is about as good as the parallel technique with four SPUs. Sat, 31 Aug 2013 00:00:00 +0300 Rich: Region-based Intelligent Cluster-Head Selection and Node Deployment Strategy in Concentric-based WSNs http://dx.doi.org/10.4316/aece.2013.04001 http://dx.doi.org/10.4316/aece.2013.04001 C.-S., FAN, In a random deployment, sensor nodes are scattered randomly in the sensing field. Hence, the coverage can not be guaranteed. In contrast, the coverage of uniformly deployment is in general larger than the random deployment. However, uniformly deployment strategy may cause unbalanced traffic pattern in wireless sensor networks (WSNs). In this situation, larger load may be imposed to CHs (cluster heads) around the sink. Therefore, CHs close to the sink use up their energy earlier than those farther away from the sink. To overcome this problem, we propose a novel node deployment strategy in the concentric model, namely, Region-based Intelligent Cluster-Head selection and node deployment strategy (called Rich). The coverage, energy consumption and data routing issues are well investigated and taken into consideration in the proposed Rich scheme. The simulation results show that the proposed Rich alleviates the unbalanced traffic pattern significantly, prolongs network lifetime and achieves satisfactory coverage ratio. Sat, 30 Nov 2013 00:00:00 +0200 Group-ID based RFID Mutual Authentication http://dx.doi.org/10.4316/aece.2013.04002 http://dx.doi.org/10.4316/aece.2013.04002 Y., PARK, Y., LEE, For passive type RFID tags, EPCglobal Class 1 Generation-2 Revision is used widely as a de facto standard. As it was designed for low cost, it is quite vulnerable to security issues, such as privacy concerns. This paper presents a new RFID mutual authentication protocol, which is designed to be configured on EPC Gen2 platform and to meet various security requirements while providing efficiency using PRNG (Pseudo Random Number Generator). Group-ID is used to minimize the authentication time. Security analysis of the proposed protocol is discussed. Sat, 30 Nov 2013 00:00:00 +0200 A Cell Sizing Technique for Mitigating Logic Soft Errors in Gate-level Designs http://dx.doi.org/10.4316/aece.2013.04003 http://dx.doi.org/10.4316/aece.2013.04003 J. K., PARK, J. T., KIM, The effect of logic soft errors on the degradation of the reliability becomes more crucial in the case of nano-meter semiconductor designs. Several hardening techniques have been reported from the transistor- to system-level. In order to suppress the single event transients originating from logic gates, this paper presents an improved heuristic search utilizing the gate-sizing technique. The algorithm re-orders the gate-traversal to maintain the reduced soft error rates of the preceding logic gates. The preferential candidates for the two successive algorithms are the logic gates near the primary outputs and flip-flops, rather than those of the higher portions of block soft error rate. The proposed technique reduces the logic soft error rate by more than 60% compared to the existing method in 45nm CMOS cell designs. Sat, 30 Nov 2013 00:00:00 +0200 Self-Biasing High Precision CMOS Current Subtractor for Current-Mode Circuits http://dx.doi.org/10.4316/aece.2013.04004 http://dx.doi.org/10.4316/aece.2013.04004 E., ARSLAN, In this study, a novel, differential pair based, high performance and high bandwidth current subtractor is proposed. Very low equivalent impedances are obtained at input ports n and p by using source follower transistors. Furthermore, the proposed circuit is self-biasing which makes it resistant to process, supply voltage and temperature variations. The proposed current subtractor can be used as an input stage for current-mode active circuits like current differencing buffered amplifier (CDBA), operational transresistance amplifier (OTRA) and current differencing transconductance amplifier (CDTA) which employ current subtractors. A numeric figure-of-merit is defined and it is used to demonstrate the superior performance of the proposed circuit. Sat, 30 Nov 2013 00:00:00 +0200 Post-processing of Deep Web Information Extraction Based on Domain Ontology http://dx.doi.org/10.4316/aece.2013.04005 http://dx.doi.org/10.4316/aece.2013.04005 L., LIU, T., PENG, Many methods are utilized to extract and process query results in deep Web, which rely on the different structures of Web pages and various designing modes of databases. However, some semantic meanings and relations are ignored. So, in this paper, we present an approach for post-processing deep Web query results based on domain ontology which can utilize the semantic meanings and relations. A block identification model (BIM) based on node similarity is defined to extract data blocks that are relevant to specific domain after reducing noisy nodes. Feature vector of domain books is obtained by result set extraction model (RSEM) based on vector space model (VSM). RSEM, in combination with BIM, builds the domain ontology on books which can not only remove the limit of Web page structures when extracting data information, but also make use of semantic meanings of domain ontology. After extracting basic information of Web pages, a ranking algorithm is adopted to offer an ordered list of data records to users. Experimental results show that BIM and RSEM extract data blocks and build domain ontology accurately. In addition, relevant data records and basic information are extracted and ranked. The performances precision and recall show that our proposed method is feasible and efficient. Sat, 30 Nov 2013 00:00:00 +0200 Microphone Clustering and BP Network based Acoustic Source Localization in Distributed Microphone Arrays http://dx.doi.org/10.4316/aece.2013.04006 http://dx.doi.org/10.4316/aece.2013.04006 Q., ZHANG, Z., CHEN, F., YIN, A microphone clustering and back propagation (BP) neural network based acoustic source localization method using distributed microphone arrays in an intelligent meeting room is proposed. In the proposed method, a novel clustering algorithm is first used to divide all microphones into several clusters where each one corresponds to a specified BP network. Afterwards, the energy-based cluster selecting scheme is applied to select clusters which are small and close to the source. In each chosen cluster, the time difference of arrival of each microphone pair is estimated, and then all estimated time delays act as input of the corresponding BP network for position estimation. Finally, all estimated positions from the chosen clusters are fused for global position estimation. Only subsets rather than all the microphones are responsible for acoustic source localization, which leads to less computational cost; moreover, the local estimation in each selected cluster can be processed in parallel, which expects to improve the localization speed potentially. Simulation results from comparison with other related localization approaches confirm the validity of the proposed method. Sat, 30 Nov 2013 00:00:00 +0200 CA-MAC: A Novel MAC Protocol to Alleviate Congestion in Wireless Sensor Networks http://dx.doi.org/10.4316/aece.2013.04007 http://dx.doi.org/10.4316/aece.2013.04007 L., QIAN, C., FANG, O. A., DOBRE, H., LIU, J., WU, Even if the traffic pattern is known and the network topology is simple, a strong congestion can take place in wireless sensor networks (WSNs) due to the data gathering effect and the duty-cycle operation. In this paper, we propose a novel medium access control (MAC) protocol to alleviate the congestion, which is referred to as the congestion alleviation-MAC (CA-MAC). It adopts an adaptive contention window (ACW), which allows the nodes with more buffered packets to transmit with a higher probability, as well as an intelligent burst packet transmission when the congested nodes seize the channel. Simulations are performed in NS-2, and results show that the proposed CA-MAC protocol achieves a good performance in terms of the packet delivery ratio (PDR), power consumption, throughput, and average latency. Sat, 30 Nov 2013 00:00:00 +0200 Fast Regular Circuits for Network-based Parallel Data Processing http://dx.doi.org/10.4316/aece.2013.04008 http://dx.doi.org/10.4316/aece.2013.04008 V., SKLYAROV, I., SKLIAROVA, This paper is dedicated to the design, implementation, and evaluation of fast circuits executing operations that are frequently required in data processing which are: 1) discovering the maximum and minimum values in a given set of data; and 2) sorting data items. We found that minimizing the number of circuit components does not guarantee minimal hardware resources. This is because interconnections also influence the complexity significantly. Network-based circuits are often considered to be combinational. However, this does not mean that they are faster than sequential circuits solving the same problem because propagation delays can be considerable. We revised the existing network-based solutions and proposed regular circuits which provide a good compromise between hardware resources and performance. Sat, 30 Nov 2013 00:00:00 +0200 Computer Aided Design of a Hyper-redundant Manipulator http://dx.doi.org/10.4316/aece.2013.04009 http://dx.doi.org/10.4316/aece.2013.04009 S., DUMITRU, D., COJOCARU, D., MARGHITU, Bioinspired solution can support significant improvements across various fields of robotics, offering solutions to basic problems such as locomotion and manipulation in unstructured environments. This paper deals with the problem of using a bioinspired solution in building a hyper-redundant robotic arm. In the recent period, were developed an important number of application using like an octopus or like snake or like a trunk of elephant solutions for robotic arms. Such kind of projects must solve difficult problems on the way from design to implementation. The problems are mainly linked with the actuation solution, with the control of the structure, with sensors to close the control loop, technology for the implementation. In this paper we focus on the process of modelling, simulating, and designing of hyper-redundant robotic arm. Sat, 30 Nov 2013 00:00:00 +0200 A Hybrid Method for Fast Finding the Reduct with the Best Classification Accuracy http://dx.doi.org/10.4316/aece.2013.04010 http://dx.doi.org/10.4316/aece.2013.04010 M., HACIBEYOGLU, A., ARSLAN, S., KAHRAMANLI, Usually a dataset has a lot of reducts finding all of which is known to be an NP hard problem. On the other hand, different reducts of a dataset may provide different classification accuracies. Usually, for every dataset, there is only a reduct with the best classification accuracy to obtain this best one, firstly we obtain the group of attributes that are dominant for the given dataset by using the decision tree algorithm. Secondly we complete this group up to reducts by using discernibility function techniques. Finally, we select only one reduct with the best classification accuracy by using data mining classification algorithms. The experimental results for datasets indicate that the classification accuracy is improved by removing the irrelevant features and using the simplified attribute set which is derived from proposed method. Sat, 30 Nov 2013 00:00:00 +0200 Vector Functionally-Oriented Processors with Vertical Parallelism for Operations on Quaternions http://dx.doi.org/10.4316/aece.2013.04011 http://dx.doi.org/10.4316/aece.2013.04011 Y., KLYATCHENKO, V., TARASENKO, J., BOYARINOVA, Y., KALYNOVSKIY, The paper deals with approaches for creation and algorithmically-structural features of the hardware for direct hardware implementation of operations on hypercomplex numbers (for example, quaternions). There are described basic list of operations on quaternions and features of hardware implementation of these operations by processing elements that belong to the class of functionally-oriented processors. Sat, 30 Nov 2013 00:00:00 +0200 Low Complexity Approach for High Throughput Belief-Propagation based Decoding of LDPC Codes http://dx.doi.org/10.4316/aece.2013.04012 http://dx.doi.org/10.4316/aece.2013.04012 B., BELEAN, M., BORDA, A., BOT, S., NEDEVSCHI, The paper proposes a low complexity belief propagation (BP) based decoding algorithm for LDPC codes. In spite of the iterative nature of the decoding process, the proposed algorithm provides both reduced complexity and increased BER performances as compared with the classic min-sum (MS) algorithm, generally used for hardware implementations. Linear approximations of check-nodes update function are used in order to reduce the complexity of the BP algorithm. Considering this decoding approach, an FPGA based hardware architecture is proposed for implementing the decoding algorithm, aiming to increase the decoder throughput. FPGA technology was chosen for the LDPC decoder implementation, due to its parallel computation and reconfiguration capabilities. The obtained results show improvements regarding decoding throughput and BER performances compared with state-of-the-art approaches. Sat, 30 Nov 2013 00:00:00 +0200 Linearization of Optimal Compressor Function and Design of Piecewise Linear Compandor for Gaussian Source http://dx.doi.org/10.4316/aece.2013.04013 http://dx.doi.org/10.4316/aece.2013.04013 J., NIKOLIC, Z., PERIC, D., ALEKSIC, D., ANTIC, The constraints on the quantizer model are usually related to how complex the model can be designed and implemented. For the given bit rate, it is desirable to provide the highest possible signal to quantization noise ratio (SQNR) with reasonable complexity of a quantizer model. In order to avoid the influence of compressor function nonlinearity and the difficulties appearing in implementing and designing, especially in the Gaussian probability density function case, in this paper we linearize the optimal compressor function within the segments. We take advantage of piecewise linearization of the optimal compressor function, as a convenient solution for less complex designing compared to the asymptotically optimal compandor, and we provide performances close to the ones of the asymptotically optimal compandor. This makes our model useful in applications where the design and implementation complexity is a decisive factor. We propose a piecewise linear compandor (PLC) with an equal number of reproduction levels per nonuniformly spaced segments, where the segment thresholds are allotted to the equidistant optimal compressor function values. We study how the number of segments affects SQNR of the PLC. Features of the proposed PLC indicate its theoretical and practical significance in quantization of Gaussian source signals. Sat, 30 Nov 2013 00:00:00 +0200 Combined Sparsifying Transforms for Compressive Image Fusion http://dx.doi.org/10.4316/aece.2013.04014 http://dx.doi.org/10.4316/aece.2013.04014 C., WU, H., WANG, X., XU, L., ZHAO, In this paper, we present a new compressive image fusion method based on combined sparsifying transforms. First, the framework of compressive image fusion is introduced briefly. Then, combined sparsifying transforms are presented to enhance the sparsity of images. Finally, a reconstruction algorithm based on the nonlinear conjugate gradient is presented to get the fused image. The simulations demonstrate that by using the combined sparsifying transforms better results can be achieved in terms of both the subjective visual effect and the objective evaluation indexes than using only a single sparsifying transform for compressive image fusion. Sat, 30 Nov 2013 00:00:00 +0200 Improved Low Power FPGA Binding of Datapaths from Data Flow Graphs with NSGA II -based Schedule Selection http://dx.doi.org/10.4316/aece.2013.04015 http://dx.doi.org/10.4316/aece.2013.04015 D. S. H., RAM, M. C., BHUVANESWARI, S., UMADEVI, FPGAs are increasingly being used to implement data path intensive algorithms for signal processing and image processing applications. In High Level Synthesis of Data Flow Graphs targeted at FPGAs, the effect of interconnect resources such as multiplexers must be considered since they contribute significantly to the area and switching power. We propose a binding framework for behavioral synthesis of Data Flow Graphs (DFGs) onto FPGA targets with power reduction as the main criterion. The technique uses a multi-objective GA, NSGA II for design space exploration to identify schedules that have the potential to yield low-power bindings from a population of non-dominated solutions. A greedy constructive binding technique reported in the literature is adapted for interconnect minimization. The binding is further subjected to a perturbation process by altering the register and multiplexer assignments. Results obtained on standard DFG benchmarks indicate that our technique yields better power aware bindings than the constructive binding approach with little or no area overhead. Sat, 30 Nov 2013 00:00:00 +0200 A Low Cost System for Testing and Monitoring the Performance of Photovoltaic Module http://dx.doi.org/10.4316/aece.2013.04016 http://dx.doi.org/10.4316/aece.2013.04016 I.-M., POP-CALIMANU, T., ANNA, V., POPESCU, G., MUNTEAN, The purpose of this paper is to develop a low cost system for testing and monitoring the performance of PV modules in outdoor conditions. In order to do this, we improved and adapted another measuring system. This system was developed by us and enables us to ensure the performance of the PV module through testing and monitoring, as well as saving collected data to a database. This database can be accessed through a graphical interface on a laptop connected to the system using serial interface. The error sources of this system are reduced to minimum because of human operators interfering with the system only through the graphical user interface. The Two Diode Model with series and parallel resistances was used to estimate the parameters of the electrical equivalent circuit for the PV module. This model will be simulated in CASPOC 2009. The performances of PV module were obtained in outdoor conditions and were saved to the database. They will be compared with the performances obtained through simulation, to prove the efficiency of the model. Sat, 30 Nov 2013 00:00:00 +0200 New ELIN Systems Using CMOS Transistors in Weak Inversion Operation http://dx.doi.org/10.4316/aece.2013.04017 http://dx.doi.org/10.4316/aece.2013.04017 R. G., BOZOMITU, V., CEHAN, In this paper new ELIN systems implemented by using CMOS transistors in weak inversion operation are presented. The proposed systems exploit the exponential-law characteristics of the subthreshold CMOS transistors. New operational transconductance amplifiers in CMOS technology, providing elementary tanh and sinh/cosh functions with high accuracy are proposed. These elementary cells are used to design first order CMOS ELIN filters. For a bias current of 1A, the dynamic range of the predistorted input voltage is 220mVpp and the current consumption is about 20uA from a 3.3V supply voltage. The simulations performed in 0.18um CMOS technology confirm the theoretically obtained results. Sat, 30 Nov 2013 00:00:00 +0200 An Enhanced Binary Space Partitioning Algorithm for Indoor Radio Propagation http://dx.doi.org/10.4316/aece.2013.04018 http://dx.doi.org/10.4316/aece.2013.04018 A. S. M. Z., KAUSAR, A. W., REZA, K. A., NOORDIN, M. J., ISLAM, H., RAMIAH, Precise multipath propagation modeling is the fundamental prerequisite to design indoor wireless radio networks. In recent years, ray tracing based propagation prediction algorithms have been successfully used in prediction of indoor radio propagation. Even though these algorithms have its own noticeable benefits, it suffers from lack of accuracy and sluggish performance. To overcome these shortcomings, a new three dimensional (3D) ray tracing algorithm is presented here. This algorithm is based on balanced Binary Space Partitioning (BSP). For optimization purposes, novel concepts of Nearest Object Priority (NOP) and In Contact Surface (ICS) are combined with this BSP. Using of BSP as well as optimization techniques make the algorithm faster and more accurate. The obtained results show that, among all of the scenarios of five considered environments, the maximum accuracy increase can be 87.27% and the maximum computation time reduction can be 33.60% than the existing algorithms. Sat, 30 Nov 2013 00:00:00 +0200 Predictive Trailing-Edge Modulation Average Current Control in DC-DC Converters http://dx.doi.org/10.4316/aece.2013.04019 http://dx.doi.org/10.4316/aece.2013.04019 D., DRAGHICI, D., LASCU, The paper investigates predictive digital average current control (PDACC) in dc/dc converters using trailing-edge modulation (TEM). The study is focused on the recurrence duty cycle equation and then stability analysis is performed. It is demonstrated that average current control using trailing-edge modulation is stable on the whole range of the duty cycle and thus design problems are highly reduced. The analysis is carried out in a general manner, independent of converter topology and therefore the results can then be easily applied for a certain converter (buck, boost, buck-boost, etc.). The theoretical considerations are confirmed for a boost converter first using the MATLAB program based on state-space equations and finally with the CASPOC circuit simulation package. Sat, 30 Nov 2013 00:00:00 +0200 Fountain-code Aided File Transfer in Vehicular Delay Tolerant Networks http://dx.doi.org/10.4316/aece.2013.04020 http://dx.doi.org/10.4316/aece.2013.04020 S. M. M., LANGARI, S., YOUSEFI, S., JABBEHDARI, We propose a mechanism for facilitating file transferring in Vehicular Delay Tolerant Networks. The proposed architecture includes using Fountain coding in the application layer, UDP in the transport layer and a proposed DTN routing algorithm in the network layer. It is assumed that files are coded based on a sample of Fountain codes which does not need in-order reception of packets. As a result, there is no need of using close-loop reliable protocols such as TCP, hence suffering from their different overheads; as a result, UDP can be used in the transport layer. In the network layer, we propose a novel DTN routing algorithm based on AODV and Store-Carry and Forward policy. This algorithm (named as AODV-DTN) uses a cross layer interaction between the network and the application layer. Results of extensive simulations study for highway scenarios show that the proposed architecture leads to a better performance in terms of file delivery ratio and byte throughput when compared with FOUNTAIN and classic FTP scenarios. Furthermore, the negative effect of increasing file size is mitigated in comparison to other alternatives. It is also shown that for delay tolerant and long-distanced inter-RSU communications the proposed architecture behaves sufficiently well. Sat, 30 Nov 2013 00:00:00 +0200 Software Tool for Real-Time Power Quality Analysis http://dx.doi.org/10.4316/aece.2013.04021 http://dx.doi.org/10.4316/aece.2013.04021 A., MIRON, M. D., CHINDRIS, A. C., CZIKER, A software tool dedicated for the analysis of power signals containing harmonic and interharmonic components, unbalance, voltage dips and voltage swells is presented. The software tool is a virtual instrument, which uses innovative algorithms based on time and frequency domains analysis to process power signals. In order to detect the temporary disturbances, edge detection is proposed, whereas for the harmonic analysis Gaussian filter banks are implemented. Considering that a signal recovery algorithm is applied, the harmonic analysis can be made even if voltage dips or swells appear. The virtual instrument input data can be recorded or online signals; the last ones being get through a data acquisition board. The virtual instrument was tested using both virtually created and real signals from measurements performed in distribution networks. The paper contains a numeric example made on a synthetic digital signal and an analysis made in real-time. Sat, 30 Nov 2013 00:00:00 +0200 Least Squares Modeling of Voltage Harmonic Distortion Due to PC Cluster Operation http://dx.doi.org/10.4316/aece.2013.04022 http://dx.doi.org/10.4316/aece.2013.04022 S., MUJOVIC, S., DJUKANOVIC, V., RADULOVIC, V., KATIC, M., RASOVIC, Regarding the possibility of harmonic generation, personal computers (PCs) are very significant within the category of non-linear low power loads. In modern distribution systems, the number of PCs simultaneously connected to distribution grid constantly increases. This PC clustering can negatively affect the quality of supply. The paper deals with mathematical modeling of the voltage total harmonic distortion (THDU) caused by operation of PC cluster. The proposed model is based on the power quality measurements carried out in a computer centre and computer simulations. It takes into account the THDU dependence on the PC cluster size and grid stiffness. Model parameters are derived in the least squares sense. The influences of cable cross-section and pre-existing THDU of the phase voltage are also discussed. The accuracy of the proposed model is confirmed by additional measurements performed in a commercial building. Sat, 30 Nov 2013 00:00:00 +0200 The Reliability Research of DF-D2D Underlaying Cellular Networks http://dx.doi.org/10.4316/aece.2014.01001 http://dx.doi.org/10.4316/aece.2014.01001 C., HUAN, C., LIU, In this paper, we propose a novel Device-to-Device (D2D) communication model, i.e., DF-D2D where the D2D communication is aided by a relay using the decode-and-forward (DF) strategy. Based on this model, we firstly analyze the outage probability and thereby obtain its exact expression. Then, we compare this probability with that of D2D. Finally, we obtain a threshold in which the reliability of DF-D2D is better than that of D2D based on the distances between different DF-D2D users. Analysis and simulation results show that DF-D2D could dramatically improve the reliability of conventional D2D systems when the location of the relay user changes within the threshold. Fri, 28 Feb 2014 00:00:00 +0200 A Combined Methodology of Adaptive Neuro-Fuzzy Inference System and Genetic Algorithm for Short-term Energy Forecasting http://dx.doi.org/10.4316/aece.2014.01002 http://dx.doi.org/10.4316/aece.2014.01002 K., KAMPOUROPOULOS, F., ANDRADE, A., GARCIA, L., ROMERAL, This document presents an energy forecast methodology using Adaptive Neuro-Fuzzy Inference System (ANFIS) and Genetic Algorithms (GA). The GA has been used for the selection of the training inputs of the ANFIS in order to minimize the training result error. The presented algorithm has been installed and it is being operating in an automotive manufacturing plant. It periodically communicates with the plant to obtain new information and update the database in order to improve its training results. Finally the obtained results of the algorithm are used in order to provide a short-term load forecasting for the different modeled consumption processes. Fri, 28 Feb 2014 00:00:00 +0200 Adaptive Neuro-fuzzy Inference System as Cache Memory Replacement Policy http://dx.doi.org/10.4316/aece.2014.01003 http://dx.doi.org/10.4316/aece.2014.01003 Y. M., CHUNG, Z. A., HALIM, To date, no cache memory replacement policy that can perform efficiently for all types of workloads is yet available. Replacement policies used in level 1 cache memory may not be suitable in level 2. In this study, we focused on developing an adaptive neuro-fuzzy inference system (ANFIS) as a replacement policy for improving level 2 cache performance in terms of miss ratio. The recency and frequency of referenced blocks were used as input data for ANFIS to make decisions on replacement. MATLAB was employed as a training tool to obtain the trained ANFIS model. The trained ANFIS model was implemented on SimpleScalar. Simulations on SimpleScalar showed that the miss ratio improved by as high as 99.95419% and 99.95419% for instruction level 2 cache, and up to 98.04699% and 98.03467% for data level 2 cache compared with least recently used and least frequently used, respectively. Fri, 28 Feb 2014 00:00:00 +0200 Identification of Random Material Parameters in Eddy Current Problems http://dx.doi.org/10.4316/aece.2014.01004 http://dx.doi.org/10.4316/aece.2014.01004 A., SLUZALEC, Stochastic identification of material parameters in eddy current problems is presented. A method has been developed for computing eddy currents in materials with random magnetic properties. The electromagnetic field is formulated in terms of finite elements. The numerical solutions for deterministic as well as stochastic direct and inverse problems have been described. The proposed direct and inverse formulation describes probabilistic distributions of material data. As an example the stochastic identification of material data in an infinitely long conductor with a circular cross-section is presented. The stochastic solutions are obtained by application of the Monte Carlo method. Fri, 28 Feb 2014 00:00:00 +0200 Human Exposure to Electromagnetic Fields Produced by Distribution Electric Power Installations http://dx.doi.org/10.4316/aece.2014.01005 http://dx.doi.org/10.4316/aece.2014.01005 M., COSTEA, N., GOLOVANOV, I. M., GRINTESCU, E.-L., STANCIULESCU, S., GHEORGHE, The long term effects of electromagnetic fields on the human body are far from being well understood. Special concerns arise if this exposure is relatively prolonged such as in the case of professionals working in electric power installations. In this paper the authors focus on electric power distribution because of the high number of such installations and also their proximity to residential areas. We present the main recommendations and standards regarding the admissible limits and also the procedures applied to assess human exposure in distribution installation workplaces. Theoretical considerations and measured values in typical distribution installations from Romania are presented and discussed. Measurements have shown that, in distribution installations, in terms of limits set by specific regulations, permissible levels are not exceeded for occupational exposure to power frequency fields; only in some points the public exposure limits can be overcome. Medical considerations on short or long term exposure of workers are also discussed, based upon up to date knowledge. Fri, 28 Feb 2014 00:00:00 +0200 Design of Linear Systolic Arrays for Matrix Multiplication http://dx.doi.org/10.4316/aece.2014.01006 http://dx.doi.org/10.4316/aece.2014.01006 E. I., MILOVANOVIC, M. K., STOJCEV, I. Z., MILOVANOVIC, T. R., NIKOLIC, This paper presents architecture for matrix multiplication optimized to be integrated as an accelerator unit to a host computer. Two linear systolic arrays with unidirectional data flow (ULSA), used as hardware accelerators, where synthesized in this paper. The solution proposed here is designed to accelerate both the computation and communication by employing hardware address generator units (AGUs). The proposed design has been implemented on Xilinx Spartan-2E and Virtex4 FPGAs. In order to evaluate performance of the proposed solution, we have introduced quantitative and qualitative performance criteria. For the ULSA with n processing elements (PEs), the speed-up is O(n/2). Average gain factor of hardware AGUs is about 2.7, with hardware overhead of 0.6% for 32-bit PEs. Fri, 28 Feb 2014 00:00:00 +0200 Stability Aspects in One-Cycle Controlled Buck Converters http://dx.doi.org/10.4316/aece.2014.01007 http://dx.doi.org/10.4316/aece.2014.01007 M., GURBINA, D., LASCU, The paper aims to investigate issues related to one cycle controlled buck converters stability, in the situation when the integration capacitor discharging is performed through a non-zero value resistor, as it happens in practice. It is known that in this case the exponential discharge makes capacitor voltage theoretically never reach zero. Under these conditions, instability phenomena are expected when the discharge time is short, that is at high duty cycles. The stability condition is analytically derived with respect to the control voltage. It is shown that instability occurs with period doubling leading to a half switching frequency subharmonic. Computer simulations confirm the validity of theoretical considerations. Fri, 28 Feb 2014 00:00:00 +0200 Advanced PV Plant Planning based on Measured Energy Production Results - Approach and Measured Data Processing http://dx.doi.org/10.4316/aece.2014.01008 http://dx.doi.org/10.4316/aece.2014.01008 I., PETROVIC, Z., SIMIC, M., VRAZIC, The objective of this research was to develop a model for a prototype measurement station built for recording data relevant for the production of electrical energy by PV modules in order to improve the modelling. The measured data for specific time period (annually), or periods (monthly or otherwise), was processed after measurement results are available, and allow better and more accurate planning of the PV plant. Therefore, data processing time is not significant since it is not used in real-time. Measurement station was designed in a way which allows for the total energy production to be quantified for various modes of operation (fixed, single-axis or dual-axis tracking). In this article energy production in weekly time periods is analyzed since data for short time periods is available and the main goal is to find the most accurate method in PV module characterization. Once the data are obtained, it will be possible to propose improvements of conventional analytical models when measured and modelled results are compared. These improvements will be specific for the location on which prototype measurement station is installed. The proposed improvements will allow upgrades in model estimations without the need for additional measurements by a prototype measurement station. Fri, 28 Feb 2014 00:00:00 +0200 Visibility-based Planners for Mobile Robots Capable to Handle Path Existence Queries in Temporal Logic http://dx.doi.org/10.4316/aece.2014.01009 http://dx.doi.org/10.4316/aece.2014.01009 M., POMARLAN, Over the past few years, sampling based planner algorithms have been applied to planning queries formulated in path existence temporal logic, a formal system that allows more complex specifications on a solution path and is useful for task planning for mobile robots or synthesizing controllers for dynamical systems. In this paper, we extend the visibility heuristic to planners capable to handle finite path existence temporal logic queries. Our interest is justified by the visibility heuristic's ability to construct small roadmaps that are fast to search. We find that the visibility heuristic must be amended so that it can reliably handle temporal logic queries and we propose a suitable modification of the heuristic. We then present a method to extract a solution path from a roadmap, if such a solution exists. Finally, we show how the planner can be used to generate looping paths by augmenting it with a gap reduction step. Fri, 28 Feb 2014 00:00:00 +0200 Fast Decision Tree Algorithm http://dx.doi.org/10.4316/aece.2014.01010 http://dx.doi.org/10.4316/aece.2014.01010 V., PURDILA, S.-G., PENTIUC, There is a growing interest nowadays to process large amounts of data using the well-known decision-tree learning algorithms. Building a decision tree as fast as possible against a large dataset without substantial decrease in accuracy and using as little memory as possible is essential. In this paper we present an improved C4.5 algorithm that uses a compression mechanism to store the training and test data in memory. We also present a very fast tree pruning algorithm. Our experiments show that presented algorithms perform better than C5.0 in terms of speed and classification accuracy in most cases at the expense of tree size - the resulting trees are larger than the ones produced by C5.0. The data compression and pruning algorithms can be easily parallelized in order to achieve further speedup. Fri, 28 Feb 2014 00:00:00 +0200 Face Recognition using Similarity Pattern of Image Directional Edge Response http://dx.doi.org/10.4316/aece.2014.01011 http://dx.doi.org/10.4316/aece.2014.01011 F., BASHAR, A., KHAN, F., AHMED, H., KABIR, An effective face descriptor is critical for a successful face recognition system and must overcome the challenges of changing environment. The face representation must have discriminatory information and be computationally feasible for any face recognition system. In this paper we propose a new face descriptor, Similarity Pattern of Image Directional Edge Response (SPIDER), for face recognition. An image is divided into smaller local regions and 8 directional edge responses are generated for each pixel position in the regions. The regional cumulative response of each direction is calculated and a histogram is generated consisting of 8 bins, one for each of the directions. The SPIDER code is generated by calculating the similarity between the histogram of the local region around each pixel against the histogram of neighbor regions. The feature vector is projected to a low-dimension vector space using a dimension reduction method to minimize the classification time. Experiments using the proposed method were carried out on the FERET database and results show improved recognition rates indicating the robustness to changing environment, and a low classification time compared to the existing methods. Fri, 28 Feb 2014 00:00:00 +0200 Wake-on-a-Schedule: Energy-aware Communication in Wi-Fi Networks http://dx.doi.org/10.4316/aece.2014.01012 http://dx.doi.org/10.4316/aece.2014.01012 T., PERKOVIC, I., STANCIC, T., GARMA, Excessive energy consumption of mobile device Wi-Fi (IEEE 802.11x) interface is limiting its operational time on batteries, and impacts total energy consumption of electronic devices. In recent years research community has invested great effort in better efficiency of energy consumption. However, there is still a space for improvement. Wi-Fi devices connected to the single AP (Access Point) compete for the medium during data exchange. However, due to the performance anomaly in 802.11 networks, a low data rate device will force all other devices connected to the AP to communicate at low rate, which will increase the total energy consumption of these devices. Wake-on-a-Schedule algorithm is proposed reducing the energy consumption of devices placed in the area with the weaker signal by scheduling the data packets for each client on the server side which will not allow clients to compete for the Wi-Fi medium. Through extensive measurements we show that our algorithm can save up to 60% of energy consumption on the client side. Fri, 28 Feb 2014 00:00:00 +0200 Analysis of CANaerospace Protocol Communication Quality in Aviation System http://dx.doi.org/10.4316/aece.2014.01013 http://dx.doi.org/10.4316/aece.2014.01013 P., JANU, This paper analyses CAN bus utilisation, complying with the CANaerospace protocol, in on-board aircraft electronic systems. The article briefly compares buses used on aircraft board, explains CAN bus applications and selection methods for different bus communications. Then it describes the mathematical analysis of bus capacity and bus utilisation, proposes a time schedule for transmitting and receiving messages and analyses the proposed time schedule. The main focus of the article is on testing the communication behaviour quality of the proposed aviation system with specific conditions for transmitting individual messages, carrying flight and aircraft parameters, complying with the CANaerospace specification. It is a modular system, where each module represents an intelligent aircraft device. Testing is focused on verification of correct entry of individual messages into the communication system. Fri, 28 Feb 2014 00:00:00 +0200 Operation Characteristics Optimization of Low Power Three-Phase Asynchronous Motors http://dx.doi.org/10.4316/aece.2014.01014 http://dx.doi.org/10.4316/aece.2014.01014 I., VLAD, A., CAMPEANU, S., ENACHE, G., PETROPOL, Most published papers on low power asynchronous motors were aimed to achieve better operational performances in different operating conditions. The optimal design of the general-purpose motors requires searching and selecting an electric machine to meet minimum operating costs criterion and certain customer imposed restrictive conditions. In this paper, there are many significant simulations providing qualitative and quantitative information on reducing active and reactive energy losses in motors, and on parameters and constructive solution. The optimization study applied the minimal operating costs criterion, and it took into account the starting restrictive conditions. Thirteen variables regarding electromagnetic stresses and main constructive dimensions were considered. The operating costs of the optimized motor decreased with 25.6%, as compared to the existing solution. This paper can be a practical and theoretical support for the development and implementation of modern design methods, based on theoretical and experimental study of stationary and transient processes in low power motors, to increase efficiency and power factor. Fri, 28 Feb 2014 00:00:00 +0200 WAPTT - Web Application Penetration Testing Tool http://dx.doi.org/10.4316/aece.2014.01015 http://dx.doi.org/10.4316/aece.2014.01015 Z., DURIC, Web applications vulnerabilities allow attackers to perform malicious actions that range from gaining unauthorized account access to obtaining sensitive data. The number of reported web application vulnerabilities in last decade is increasing dramatically. The most of vulnerabilities result from improper input validation and sanitization. The most important of these vulnerabilities based on improper input validation and sanitization are: SQL injection (SQLI), Cross-Site Scripting (XSS) and Buffer Overflow (BOF). In order to address these vulnerabilities we designed and developed the WAPTT (Web Application Penetration Testing Tool) tool - web application penetration testing tool. Unlike other web application penetration testing tools, this tool is modular, and can be easily extended by end-user. In order to improve efficiency of SQLI vulnerability detection, WAPTT uses an efficient algorithm for page similarity detection. The proposed tool showed promising results as compared to six well-known web application scanners in detecting various web application vulnerabilities. Fri, 28 Feb 2014 00:00:00 +0200 FEM Analysis of Brushless DC Servomotor with Fractional Number of Slots per Pole http://dx.doi.org/10.4316/aece.2014.01016 http://dx.doi.org/10.4316/aece.2014.01016 G., BALUTA, A., GRAUR, R., PENTIUC, C., DIACONESCU, C., POPA, The authors present in this paper the analysis with Finite Element Method (FEM) of the magnetic circuit for a Brushless DC servomotor with fractional number of slots/pole (9 slots and 10 poles). For this purpose, FEMM 4.2 software package was used for the analysis. To obtain the waveforms of Back-ElectroMotive Forces (BEMFs), electromagnetic and cogging torque for servomotor a program in LUA scripting language (integrated into interactive shell of FEMM4.2) has been created. A comparation with a structure with integer number of slots/pole (18 slots and 6 poles) was also realized. The analysis results prove that the structure chosen is an optimal solution: sinusoidal waveforms of BEMFs, improved electromagnetic torque and reduced cogging torque. Therefore, the operating characteristics of the servomotor with 9/10 slots/poles manufactured by Sistem Euroteh Company and included in an integrated electrical drives system are presented in this paper. Fri, 28 Feb 2014 00:00:00 +0200 A PSO-DP Based Method to Determination of the Optimal Number, Location, and Size of FACTS Devices in Power Systems http://dx.doi.org/10.4316/aece.2014.01017 http://dx.doi.org/10.4316/aece.2014.01017 S., SHOJAEIAN, E. S., NAEENI, M., DOLATSHAHI, H., KHANI, The presence of reactive component of current in transmission lines causes adverse impact on the network, including power losses, reduction of line capacity, and voltage drop. These adverse impacts can be reduced by using the first or second generation of FACTS devices. In this paper, these adverse impacts can be reduced optimally by using one of the modern optimization techniques, i.e., particle swarm optimization algorithm (PSO algorithm). By using this algorithm, the optimal size of the static VAr compensator (FACTS devices) in a 30 bus IEEE test system is determined. At first, the load flow equations of the 30 bus IEEE test system is defined in the MATLAB software by means of dynamic programming method, and the number of SVCs will be determined by using the system sensitivity function (power losses and the sum of buses voltage drop square); then, the optimal sizes of the FACTS devices is obtained by means of PSO algorithm. Fri, 28 Feb 2014 00:00:00 +0200 TV Recommendation and Personalization Systems: Integrating Broadcast and Video On demand Services http://dx.doi.org/10.4316/aece.2014.01018 http://dx.doi.org/10.4316/aece.2014.01018 M., SOARES, P., VIANA, The expansion of Digital Television and the convergence between conventional broadcasting and television over IP contributed to the gradual increase of the number of available channels and on demand video content. Moreover, the dissemination of the use of mobile devices like laptops, smartphones and tablets on everyday activities resulted in a shift of the traditional television viewing paradigm from the couch to everywhere, anytime from any device. Although this new scenario enables a great improvement in viewing experiences, it also brings new challenges given the overload of information that the viewer faces. Recommendation systems stand out as a possible solution to help a watcher on the selection of the content that best fits his/her preferences. This paper describes a web based system that helps the user navigating on broadcasted and online television content by implementing recommendations based on collaborative and content based filtering. The algorithms developed estimate the similarity between items and users and predict the rating that a user would assign to a particular item (television program, movie, etc.). To enable interoperability between different systems, programs characteristics (title, genre, actors, etc.) are stored according to the TV-Anytime standard. The set of recommendations produced are presented through a Web Application that allows the user to interact with the system based on the obtained recommendations. Fri, 28 Feb 2014 00:00:00 +0200 Modeling and Estimating of Load Demand of Electricity Generated from Hydroelectric Power Plants in Turkey using Machine Learning Methods http://dx.doi.org/10.4316/aece.2014.01019 http://dx.doi.org/10.4316/aece.2014.01019 B., DURSUN, F., AYDIN, M., ZONTUL, S., SENER, In this study, the electricity load demand, between 2012 and 2021, has been estimated using the load demand of the electricity generated from hydroelectric power plants in Turkey between 1970 and 2011. Among machine learning algorithms, Multilayer Perceptron, Locally Weighted Learning, Additive Regression, M5Rules and ZeroR classifiers are used to estimate the electricity load demand. Among them, M5Rules and Multilayer Perceptron classifiers are observed to have better performance than the others. ZeroR classifier is a kind of majority classifier used to compare the performances of other classifiers. Locally Weighted Learning and Additive Regression classifiers are Meta classifiers. In the training period conducted by Locally Weighted Learning and Additive Regression classifiers, when Multilayer Perceptron and M5Rules classifiers are chosen respectively, it is possible to obtain models with the highest performance. As a result of the experiments performed using M5Rules and Multilayer Perceptron classifiers, correlation coefficient values of 0.948 and 0.9933 are obtained respectively. And, Mean Absolute Error and Root Mean Squared Error value of Multilayer Perceptron classifier are closer to zero than that of M5Rules classifier. Therefore, it can be said the model performed by Multilayer Perceptron classifier has the best performance compared to the models of other classifiers. Fri, 28 Feb 2014 00:00:00 +0200 Automatic Assessing of Tremor Severity Using Nonlinear Dynamics, Artificial Neural Networks and Neuro-Fuzzy Classifier http://dx.doi.org/10.4316/aece.2014.01020 http://dx.doi.org/10.4316/aece.2014.01020 O., GEMAN, H., COSTIN, Neurological diseases like Alzheimer, epilepsy, Parkinson's disease, multiple sclerosis and other dementias influence the lives of patients, their families and society. Parkinson's disease (PD) is a neurodegenerative disease that occurs due to loss of dopamine, a neurotransmitter and slow destruction of neurons. Brain area affected by progressive destruction of neurons is responsible for controlling movements, and patients with PD reveal rigid and uncontrollable gestures, postural instability, small handwriting and tremor. Commercial activity-promoting gaming systems such as the Nintendo Wii and Xbox Kinect can be used as tools for tremor, gait or other biomedical signals acquisitions. They also can aid for rehabilitation in clinical settings. This paper emphasizes the use of intelligent optical sensors or accelerometers in biomedical signal acquisition, and of the specific nonlinear dynamics parameters or fuzzy logic in Parkinson's disease tremor analysis. Nowadays, there is no screening test for early detection of PD. So, we investigated a method to predict PD, based on the image processing of the handwriting belonging to a candidate of PD. For classification and discrimination between healthy people and PD people we used Artificial Neural Networks (Radial Basis Function - RBF and Multilayer Perceptron - MLP) and an Adaptive Neuro-Fuzzy Classifier (ANFC). In general, the results may be expressed as a prognostic (risk degree to contact PD). Fri, 28 Feb 2014 00:00:00 +0200 Threshold Based Iteration Stopping Criterion for Turbo Codes and for Scheme Combining a Turbo Code and a Golden Space-Time Block Code http://dx.doi.org/10.4316/aece.2014.01021 http://dx.doi.org/10.4316/aece.2014.01021 A., SAVIN, L., TRIFINA, M., ANDREI, This paper proposes an iteration stopping criterion for turbo decoding with Benedetto's decoding algorithm based on a posteriori probabilities. This stopping criterion is used in two schemes. Firstly, it is used in a classical turbo code scheme on additive white gaussian noise (AWGN) channel. Secondly, it is used in a scheme combining a turbo code and a Golden space-time block code on fast Rayleigh fading multiple input multiple output (MIMO) channel. Simulation results with different thresholds for the stopping criterion show that a threshold of 1.2 and 1.4 in the first and second scheme, respectively, are sufficient for obtaining the same bit error rate and frame error rate performance like in the case of using the ideal genie stopping criterion. The difference between the average number of iterations for these thresholds and for the genie stopping criterion is at most 1.5 and 1.25, respectively. Fri, 28 Feb 2014 00:00:00 +0200 Examination of Speed Contribution of Parallelization for Several Fingerprint Pre-Processing Algorithms http://dx.doi.org/10.4316/aece.2014.02001 http://dx.doi.org/10.4316/aece.2014.02001 S., GORGUNOGLU, I. M., ORAK, A., CAVUSOGLU, M., GOK, In analysis of minutiae based fingerprint systems, fingerprints needs to be pre-processed. The pre-processing is carried out to enhance the quality of the fingerprint and to obtain more accurate minutiae points. Reducing the pre-processing time is important for identification and verification in real time systems and especially for databases holding large fingerprints information. Parallel processing and parallel CPU computing can be considered as distribution of processes over multi core processor. This is done by using parallel programming techniques. Reducing the execution time is the main objective in parallel processing. In this study, pre-processing of minutiae based fingerprint system is implemented by parallel processing on multi core computers using OpenMP and on graphics processor using CUDA to improve execution time. The execution times and speedup ratios are compared with the one that of single core processor. The results show that by using parallel processing, execution time is substantially improved. The improvement ratios obtained for different pre-processing algorithms allowed us to make suggestions on the more suitable approaches for parallelization. Sat, 31 May 2014 00:00:00 +0300 Controller Architecture Design for MMC-HVDC http://dx.doi.org/10.4316/aece.2014.02002 http://dx.doi.org/10.4316/aece.2014.02002 B., ZHANG, C., ZHAO, C., GUO, X., XIAO, L., ZHOU, Compared with high voltage direct current (HVDC), the primary and secondary systems of modular multilevel converter based HVDC (MMC-HVDC) are complicated. And the characteristics of the control system determine the properties of the MMC-HVDC system to a certain extent. This paper investigates the design of control architecture. First, the structure and parameters of the 21-level MMC-HVDC are designed. Second, the framework of the control system is studied in details and a complete control system is established. The communication mode and content are built between each layer, and the control system program is developed and debugged. Then The steady state test platform of the sub-module and the relevant control system are designed. Finally, the steady-state tests and the system test of the physical MMC-HVDC simulation system are conducted, which prove that the SMC can control the sub-module (SM) efficiently, and the control system could realize efficient start and stop of the physical system. Meanwhile, the capacitor voltage balance between the sub-modules and the basic fault protection and control of the DC voltage and power are verified to be effective. Sat, 31 May 2014 00:00:00 +0300 Graph Learning Based Speaker Independent Speech Emotion Recognition http://dx.doi.org/10.4316/aece.2014.02003 http://dx.doi.org/10.4316/aece.2014.02003 X., XU, C., HUANG, C., WU, Q., WANG, L., ZHAO, In this paper, the algorithm based on graph learning and graph embedding framework, Speaker-Penalty Graph Learning (SPGL), is proposed in the research of speech emotion recognition to solve the problems caused by different speakers. Graph embedding framework theory is used to construct the dimensionality reduction stage of speech emotion recognition. Special penalty and intrinsic graphs of the graph embedding framework is proposed to penalize the impacts from different speakers in the task of speech emotion recognition. The original speech emotion features are extracted by various categories, reflecting different characteristics of each speech sample. According to the experiments in speech emotion corpus using different classifiers, the proposed method with linear and kernelized mapping forms can both achieve relatively better performance than the state-of-the-art dimensionality reduction methods. Sat, 31 May 2014 00:00:00 +0300 An Optimized Indoor RFID Positioning System Using 3D Mobility Pattern http://dx.doi.org/10.4316/aece.2014.02004 http://dx.doi.org/10.4316/aece.2014.02004 A. W., REZA, T. T., RUI, A. S., KAUSAR, Radio frequency identification (RFID) is the widely used identification system that uses radio frequency for the detection of object position. A new RFID technique for the localization of tags in a 3D space is presented in this study. According to this technique, the optimized number of mobile readers is needed to afford full coverage within a given period of time. The mobile readers are programmed in such a way that they move in a zigzag pattern for detecting the tags. The received signal strength (RSS) model is used for determining the tag positions. From the obtained results, it can be observed that the proposed model can achieve an average error distance as low as 0.27 m for a given scenario and if the obstacles are placed in the test environment, the average error distance has only increased to 0.38 m. In order to evaluate the accuracy of the proposed technique, a comparison between the existing and proposed model is presented. Sat, 31 May 2014 00:00:00 +0300 Cold Start Strategy of the CubeSat GPS Receiver http://dx.doi.org/10.4316/aece.2014.02005 http://dx.doi.org/10.4316/aece.2014.02005 P., KOVAR, S., JELEN, The cold start of the LEO satellite GPS receiver is complicated due to a large Doppler frequency shift, Doppler frequency rate of the navigation signals and a rapid change of the satellite visibility. The cold start time can be shortened by a proper strategy of a selection of the satellites to be searched for. The cold start simulator was developed and used for optimization of the sequence of the satellites search, for development and testing of an advanced satellite selection algorithm that utilizes information on the satellites already detected and for optimization of a frequency search range. The best performance was achieved by using an advanced selection strategy. The strategy is based on the selection of the satellites nearest to the detected satellite, using the average angle between the Earth center (apex) and the satellites. Furthermore, the simulation shows that it is not practical to investigate all frequencies within the range of the maximum possible Doppler frequency shift of the carrier wave of the navigation signal, but investigate approximately +/- 35 kHz range and, if not successful, switch to the next satellite. The simulations proved that a simple GPS receiver with the sequential search algorithms can operate in the LEO orbit. Sat, 31 May 2014 00:00:00 +0300 A Blind High-Capacity Wavelet-Based Steganography Technique for Hiding Images into other Images http://dx.doi.org/10.4316/aece.2014.02006 http://dx.doi.org/10.4316/aece.2014.02006 S., HAMAD, A., KHALIFA, A., ELHADAD, The flourishing field of Steganography is providing effective techniques to hide data into different types of digital media. In this paper, a novel technique is proposed to hide large amounts of image data into true colored images. The proposed method employs wavelet transforms to decompose images in a way similar to the Human Visual System (HVS) for more secure and effective data hiding. The designed model can blindly extract the embedded message without the need to refer to the original cover image. Experimental results showed that the proposed method outperformed all of the existing techniques not only imperceptibility but also in terms of capacity. In fact, the proposed technique showed an outstanding performance on hiding a secret image whose size equals 100% of the cover image while maintaining excellent visual quality of the resultant stego-images. Sat, 31 May 2014 00:00:00 +0300 Modeling, Simulation and Control of Wind Energy Conversion System based on Doubly Fed Induction Generator and Cycloconverter http://dx.doi.org/10.4316/aece.2014.02007 http://dx.doi.org/10.4316/aece.2014.02007 A., BOUMASSATA, D., KERDOUN, In this paper, we propose a wind energy conversion system (WECS) at variable speed using a doubly fed induction generator (DFIG) controlled on the rotor side through a cycloconverter. The dynamic behavior of the WECS, including the models of the wind turbine, the DFIG, the cycloconverter, and the power control of this system, is investigated. The power control of this system is applied to achieve the independent control of the active and reactive powers exchanged between the wind generator and the grid. In addition, a maximum power point tracking (MPPT) control is included in the control system to capture the maximum power from the wind. Moreover, the cycloconverter with DFIG are used to test the possibility to operate in two quadrant modes (sub-synchronous and super-synchronous modes). The description of the proposed system is presented with the detailed dynamic modeling equations. The simulation results are presented, to demonstrate the performance and the efficiency of this system. Sat, 31 May 2014 00:00:00 +0300 An Estimation Method of the Manufacturing Process' Effect on Iron Losses http://dx.doi.org/10.4316/aece.2014.02008 http://dx.doi.org/10.4316/aece.2014.02008 G., SCUTARU, H., GAVRILA, I., PETER, More than 60% of industrial electricity consumption is made by electrical drives with induction motors. In 2008, by IEC 60034-30, the International Electrotechnical Commission defined the efficiency classes of induction motors namely: IE1, IE2 and IE3. The IE4 was defined in 2010 by IEC 60034-3. From 1 January 2015, the induction motors with a rated output of 7.5-375 kW shall not be less efficient than the IE3 class (Premium Efficiency Class). In order to obtain IE3 motors, manufacturers need to have a design method which takes into account the influence of the technological process on the properties of materials used; specially magnetic properties. This paper presents a new method to estimate the iron losses taking into account the effect of the mechanical cutting on the specific iron losses of the sheets. The method presented enables more accurate determination of the iron losses taking into account the effect of the punching process on the magnetic properties of sheets without a significant increase of the computational time. The case of M400 iron sheets was analyzed. Sat, 31 May 2014 00:00:00 +0300 Post-error Correction in Automatic Speech Recognition Using Discourse Information http://dx.doi.org/10.4316/aece.2014.02009 http://dx.doi.org/10.4316/aece.2014.02009 S., KANG, J.-H., KIM, J., SEO, Overcoming speech recognition errors in the field of human-computer interaction is important in ensuring a consistent user experience. This paper proposes a semantic-oriented post-processing approach for the correction of errors in speech recognition. The novelty of the model proposed here is that it re-ranks the n-best hypothesis of speech recognition based on the user's intention, which is analyzed from previous discourse information, while conventional automatic speech recognition systems focus only on acoustic and language model scores for the current sentence. The proposed model successfully reduces the word error rate and semantic error rate by 3.65% and 8.61%, respectively. Sat, 31 May 2014 00:00:00 +0300 Pipelined Error-detecting Codes in FPGA Testing http://dx.doi.org/10.4316/aece.2014.02010 http://dx.doi.org/10.4316/aece.2014.02010 O., BREKHOV, M., RATNIKOV, This article approaches the solution of FPGA testing and research of characteristics at early development stages. The approach offers error-detection code based on universal test firmware. The performed test firmware based on CRC and Hamming codes detect single and multiple faults, and locate fault place (for Hamming code based test firmware). Sat, 31 May 2014 00:00:00 +0300 Hamming Weight Counters and Comparators based on Embedded DSP Blocks for Implementation in FPGA http://dx.doi.org/10.4316/aece.2014.02011 http://dx.doi.org/10.4316/aece.2014.02011 V., SKLYAROV, I., SKLIAROVA, This paper is dedicated to the design, implementation and evaluation of fast FPGA-based circuits that compute Hamming weights for binary vectors and compare the results with fixed thresholds and variable bounds. It is shown that digital signal processing (DSP) slices that are widely available in contemporary FPGAs may be used efficiently and they frequently provide the fastest and least resource consuming solutions. A thorough analysis and comparison of these with the best known alternatives both in hardware and in software is presented. The results are supported by numerous experiments in recent prototyping boards. A fully synthesizable hardware description language (VHDL) specification for one of the proposed core components is given that is ready to be synthesized, implemented, tested and compared in any FPGA that contains embedded DSP48E1 slices (or alternatively DSP48A1 slices from previous generations). Finally, the results of comparisons are provided that include discussions of designs in an ARM processor combined with reconfigurable logic for very long vectors. Sat, 31 May 2014 00:00:00 +0300 Control Algorithms of Propulsion Unit with Induction Motors for Electric Vehicle http://dx.doi.org/10.4316/aece.2014.02012 http://dx.doi.org/10.4316/aece.2014.02012 P., PALACKY, P., BRANDSTETTER, P., CHLEBIS, V., SLADECEK, P., SIMONIK, D., SLIVKA, The article deals with the research of algorithms for controlling electronic differential and differential lock of an electrically driven vehicle. The simulation part addresses the development of algorithms suitable for the implementation into a real system of a road vehicle. The algorithms are then implemented into a vehicle, a propulsion unit of which is consists of two separate electric drives with induction motors fed by voltage inverters with own control units using advanced signal processors. Communication among control units is provided by means of SPI interface. A method of vector control is used for the control of induction motors. The developed algorithms are experimentally verified for correct function in a laboratory using a roll test stand and while driving an electrically driven vehicle on the road. Sat, 31 May 2014 00:00:00 +0300 Study on the Fault-Tolerance Concept of the Five-Phase Permanent Magnet Synchronous Generator http://dx.doi.org/10.4316/aece.2014.02013 http://dx.doi.org/10.4316/aece.2014.02013 L., LIVADARU, A., MUNTEANU, A., SIMION, B., VIRLAN, S., BENELGHALI, In this paper an investigation on the fault tolerance capability of the five-phase permanent magnet synchronous generator is presented. The electric machine, which has lap stator winding and surface permanent magnets, has been designed for islanded-use purposes. The study takes into consideration the open-circuit type faults. It was analyzed the operation under healthy, one-phase open-circuited and two-phase open-circuited (adjacent and non-adjacent) conditions respectively. The results derive from FEM-based simulations and experimental tests. Sat, 31 May 2014 00:00:00 +0300 Addressing Mode Extension to the ARM/Thumb Architecture http://dx.doi.org/10.4316/aece.2014.02014 http://dx.doi.org/10.4316/aece.2014.02014 D.-H., KIM, In this paper, two new addressing modes are introduced to the 16-bit Thumb instruction set architecture to improve performance of the ARM/Thumb processors. Contrary to previous approaches, the proposed approach focuses on the addressing mode of the instruction set architecture. It adopts scaled register offset addressing mode and post-indexed addressing mode from the 32-bit ARM architecture, which is the superset of the 16-bit Thumb architecture. To provide the encoding space for the new addressing modes, the register fields in the LDM and STM instructions are reduced, which are not frequently executed. Experiments show the proposed extension achieves an average of 7.0% performance improvement for the seven benchmark programs when compared to the 16-bit Thumb instruction set architecture. Sat, 31 May 2014 00:00:00 +0300 Impact of Neutral Point Current Control on Copper Loss Distribution of Five Phase PM Generators Used in Wind Power Plants http://dx.doi.org/10.4316/aece.2014.02015 http://dx.doi.org/10.4316/aece.2014.02015 R. S., ARASHLOO, J. L., ROMERAL MARTINEZ, M., SALEHIFAR, V., SALA, Efficiency improvement under faulty conditions is one of the main objectives of fault tolerant PM drives. This goal can be achieved by increasing the output power while reducing the losses. Stator copper loss not only directly affects the total efficiency, but also plays an important role in thermal stress generations of iron core. In this paper, the effect of having control on neutral point current is studied on the efficiency of five-phase permanent magnet machines. Open circuit fault is considered for both one and two phases, and the distribution of copper loss along the windings are evaluated in each case. It is shown that only by having access to neutral point, it is possible to generate less stator thermal stress and more mechanical power in five-phase permanent magnet generators. Wind power generation and their applications are kept in mind, and the results are verified via simulations and experimental tests on an outer-rotor type of five-phase PM machine. Sat, 31 May 2014 00:00:00 +0300 Analysis of LTE Physical Hybrid ARQ Control Channel http://dx.doi.org/10.4316/aece.2014.02016 http://dx.doi.org/10.4316/aece.2014.02016 J., MILOS, S., HANUS, A Physical Hybrid ARQ Indicator Channel (PHICH) is a very important element of the Long Term Evolution (LTE), Release 8 communication system. Via the PHICH, a Hybrid ARQ Indicator (HI) acknowledge message is transmitted. The HI informs the result if the previous data transfer in uplink direction. Imperfect protection of PHICH transfer can cause superfluous repetitions of incorrect confirmed data and uplink overhead grows. In the paper, the PHICH signal processing and performance results of a single HI message in AWGN and fading channel models are presented depending on the representative antenna modes. The performance results for a number of HI messages greater than one within a single PHICH group, have not been found. Sat, 31 May 2014 00:00:00 +0300 Digital Forensics in Cloud Computing http://dx.doi.org/10.4316/aece.2014.02017 http://dx.doi.org/10.4316/aece.2014.02017 A., PATRASCU, V.-V., PATRICIU, Cloud Computing is a rather new technology which has the goal of efficiently usage of datacenter resources and offers them to the users on a pay per use model. In this equation we need to know exactly where and how a piece of information is stored or processed. In today's cloud deployments this task is becoming more and more a necessity and a must because we need a way to monitor user activity, and furthermore, in case of legal actions, we must be able to present digital evidence in a way in which it is accepted. In this paper we are going to present a modular and distributed architecture that can be used to implement a cloud digital forensics framework on top of new or existing datacenters. Sat, 31 May 2014 00:00:00 +0300 A Novel Chaotic System for Random Pulse Generation http://dx.doi.org/10.4316/aece.2014.02018 http://dx.doi.org/10.4316/aece.2014.02018 V., GRIGORAS, C., GRIGORAS, We introduce a novel third order analogue nonlinear system, using three multipliers as nonlinear functions. The proposed system exhibits rich nonlinear dynamics, with periodic and chaotic behaviors, depending on the system parameters. The strange attractor of the system, under chaotic parameter choice, is characterized by a limited domain occupied in the state space. The analysis of the nonlinear dynamics of the system is presented and in depth simulation results confirm the desired properties. Suggested applications of the proposed system include analogue noise generators and spread spectrum clock generators. Sat, 31 May 2014 00:00:00 +0300 An Area Efficient Composed CORDIC Architecture http://dx.doi.org/10.4316/aece.2014.02019 http://dx.doi.org/10.4316/aece.2014.02019 F., AGUIRRE-RAMOS, A., MORALES-REYES, R., CUMPLIDO, C., FEREGRINO-URIBE, This article presents a composed architecture for the CORDIC algorithm. CORDIC is a widely used technique to calculate basic trigonometric functions using only additions and shifts. This composed architecture combines an initial coarse stage to approximate sine and cosine functions, and a second stage to finely tune those values while CORDIC operates on rotation mode. Both stages contribute to shorten the algorithmic steps required to fully execute the CORDIC algorithm. For comparison purposes, the Xilinx CORDIC logiCORE IP and previously reported research are used. The proposed architecture aims at reducing hardware resources usage as its key objective. Sat, 31 May 2014 00:00:00 +0300 A Multi-objective PMU Placement Method Considering Observability and Measurement Redundancy using ABC Algorithm http://dx.doi.org/10.4316/aece.2014.02020 http://dx.doi.org/10.4316/aece.2014.02020 A., KULANTHAISAMY, R., VAIRAMANI, N. K., KARUNAMURTHI, C., KOODALSAMY, This paper presents a Multi- objective Optimal Placement of Phasor Measurement Units (MOPP) method in large electric transmission systems. It is proposed for minimizing the number of Phasor Measurement Units (PMUs) for complete system observability and maximizing the measurement redundancy of the system, simultaneously. The measurement redundancy means that number of times a bus is able to monitor more than once by PMUs set. A higher level of measurement redundancy can maximize the total system observability and it is desirable for a reliable power system state estimation. Therefore, simultaneous optimization of the two conflicting objectives are performed using a binary coded Artificial Bee Colony (ABC) algorithm. The complete observability of the power system is first prepared and then, single line loss contingency condition is considered to the main model. The efficiency of the proposed method is validated on IEEE 14, 30, 57 and 118 bus test systems. The valuable approach of ABC algorithm is demonstrated in finding the optimal number of PMUs and their locations by comparing the performance with earlier works. Sat, 31 May 2014 00:00:00 +0300 Improved Nyquist Pulses Produced By A Filter with Senary Piece-wise Polynomial Frequency Characteristic http://dx.doi.org/10.4316/aece.2014.02021 http://dx.doi.org/10.4316/aece.2014.02021 A. L., BALAN, N. D., ALEXANDRU, A novel family of inter-symbol interference (ISI) free pulses generated by improved Nyquist filters with a frequency characteristic composed of six parabolic pieces is proposed. We studied the performance of the new pulses in terms of the ISI error probability when the impulse response is sampled with a timing offset. To illustrate the achieved improvement, the new pulses are compared with other performing pulses that were reported in the literature. Simulation results show that comparable or enhanced ISI performance can be obtained at reasonable complexity. Sat, 31 May 2014 00:00:00 +0300 Cascade Control of a Residual Water Blunting System http://dx.doi.org/10.4316/aece.2014.02022 http://dx.doi.org/10.4316/aece.2014.02022 V., MURESAN, M., ABRUDEAN, M.-L., UNGURESAN, T., COLOSI, In this paper, a solution for the automatic control of a residual water blunting system is proposed. The blunting technological process, being a distributed parameter one, is modeled using partial differential equations. This approach implies very big technological advantages due to the fact that the user has access to the pH value in each point of the tanks of the blunting system. Another element of originality is the inclusion of a distributed parameter process in a control structure, having the possibility to maintain the pH value constant in each point in the volume of the liquid from the system. A method based on the matrix of partial derivatives of the state vector (Mpdx) associated with Taylor series is used for the modeling-simulation of both the blunting process and the control system. The results assured by a simple control structure are not sufficient due to the restrictive imposed performances, so a cascade structure is treated in the paper. Sat, 31 May 2014 00:00:00 +0300 Efficiency Evaluation of Five-Phase Outer-Rotor Fault-Tolerant BLDC Drives under Healthy and Open-Circuit Faulty Conditions http://dx.doi.org/10.4316/aece.2014.02023 http://dx.doi.org/10.4316/aece.2014.02023 R. S., ARASHLOO, M., SALEHIFAR, H., SAAVEDRA, J. L., ROMERAL MARTINEZ, Fault tolerant motor drives are an interesting subject for many applications such as automotive industries and wind power generation. Among different configurations of these systems, five-phase BLDC drives are gaining more importance which is because of their compactness and high efficiency. Due to replacement of field windings by permanent magnets in their rotor structure, the main sources of power losses in these drives are iron (core) losses, copper (winding) losses, and inverter unit (semiconductor) losses. Although low amplitude of power losses in five-phase BLDC drives is an important aspect for many applications, but their efficiency under faulty conditions is not considered in previous studies. In this paper, the efficiency of an outer-rotor five phase BLDC drive is evaluated under normal and different faulty conditions. Open-circuit fault is considered for one, two adjacent and two non-adjacent faulty phases. Iron core losses are calculated via FEM simulations in Flux-Cedrat software, and moreover, inverter losses and winding copper losses are simulated in MATLAB environment. Experimental evaluations are conducted to evaluate the efficiency of the entire BLDC drive which verifies the theoretical developments. Sat, 31 May 2014 00:00:00 +0300 Social Networking of Instrumentation - a Case Study in Telematics http://dx.doi.org/10.4316/aece.2014.02024 http://dx.doi.org/10.4316/aece.2014.02024 D., ROBU, F., SANDU, D., PETREUS, A., NEDELCU, A., BALICA, The research work contributes to the design and implementation of the communication part for integrating remote instruments and drives via social networks (SN) into instrumentation communities. It is used the virtual instrumentation (VI) to manage objects that tweet on popular SN platforms applying the concept of the Internet of Things (IoT). Local and remote resource aggregation is based on National Instruments (NI) data acquisition and distribution hardware in a NI software environment. NI LabVIEW-for-Twitter solutions (starting with simple authentication) are extended, integrated with various third party services and validated in a complete remote monitoring proof-of-concept workbench with a closed loop for alarming-compensation. Solutions are extendible to Machine-to-Machine communication (M2M) IoT scenarios for telematics, monitoring or control, and can be connected to intelligent systems based on powerful servers for cloud computing. Sat, 31 May 2014 00:00:00 +0300 An Automatic Optic Disk Detection and Segmentation System using Multi-level Thresholding http://dx.doi.org/10.4316/aece.2014.02025 http://dx.doi.org/10.4316/aece.2014.02025 B., KARASULU, Optic disk (OD) boundary localization is a substantial problem in ophthalmic image processing research area. In order to segment the region of OD, we developed an automatic system which involves a multi-level thresholding. The OD segmentation results of the system in terms of average precision, recall and accuracy for DRIVE database are 98.88%, 99.91%, 98.83%, for STARE database are 98.62%, 97.38%, 96.11%, and for DIARETDB1 database are 99.29%, 99.90%, 99.20%, respectively. The experimental results show that our system works properly on retinal image databases with diseased retinas, diabetic signs, and a large degree of quality variability. Sat, 31 May 2014 00:00:00 +0300 A Hybrid Web Browser Architecture for Mobile Devices http://dx.doi.org/10.4316/aece.2014.03001 http://dx.doi.org/10.4316/aece.2014.03001 J., CHO, E., SEO, J., JEONG, Web browsing on mobile networks is slow in comparison to wired or Wi-Fi networks. Particularly, the connection establishment phase including DNS lookups and TCP handshakes takes a long time on mobile networks due to its long round-trip latency. In this paper, we propose a novel web browser architecture that aims to improve mobile web browsing performance. Our approach delegates the connection establishment and HTTP header field delivery tasks to a dedicated proxy server located at the joint point between the WAN and mobile network. Since the traffic for the connection establishment and HTTP header fields delivery passes only through the WAN between the proxy and web servers, our approach significantly reduces both the number and size of packets on the mobile network. Our evaluation showed that the proposed scheme reduces the number of mobile network packets by up to 42% and, consequently, the average page loading time is shortened by up to 52%. Sun, 31 Aug 2014 00:00:00 +0300 The Peak Control Function and its Applications to Transmission Line Effects in Class D Amplifiers http://dx.doi.org/10.4316/aece.2014.03002 http://dx.doi.org/10.4316/aece.2014.03002 D. T., VUZA, R., FROSCH, H., KOEBERL, M., VLADESCU, Class D amplifiers find new applications in RFID systems, because of their high efficiency. Most textbooks describe the case of a load directly connected to the amplifier. However, in most RFID systems the usage of a transmission line is mandatory and this may introduce some novel effects, in the form of an infinite series of peaks in the system frequency response functions. If not appropriately taken care of, these effects may lead to electromagnetic compatibility problems. The purpose of the paper is to develop the theory of the peak control function, which is conceived as a tool that allows the designer to keep the magnitude of the peaks, and hence their influence on the system, into well defined limits. Sun, 31 Aug 2014 00:00:00 +0300 A Novel Approach to Fault Detection in Complex Electric Power Systems http://dx.doi.org/10.4316/aece.2014.03003 http://dx.doi.org/10.4316/aece.2014.03003 Y., ZHANG, Z., WANG, The new type of backup protection can utilize different kinds of information in a larger scale. The research of this paper is focused on the centralized decision and distributed implementation of wide area backup protection system in large-scale power grid. Topology analysis of power network is substantially network connectivity judgment. The operation conditions in case of a failure should be truthfully reflected in the actual structure of network topology, which requires the system failure must be detected promptly and accurately, and prepare for the subsequent adjustment of operation scheme. In the research of this paper, for different kinds of complex system failures, we have put forward a novel fault factor analysis scheme which can realize rapid, accurate and effective fault detection. Many simulations have verified that the fault factor analysis can successfully detect the failures in complex electric power system. Sun, 31 Aug 2014 00:00:00 +0300 Location of Fraudulent Branch Lines or Faults in Short-Length Low Voltage Lines http://dx.doi.org/10.4316/aece.2014.03004 http://dx.doi.org/10.4316/aece.2014.03004 J., ESCOBEDO, A., MEDINA, J.-C., HERNANDEZ, G., ALMONACID, P., VIDAL, The detection of irregularities such as a fraudulent branch line or a fault in short-length low voltage (LV) lines is of great interest for electricity supply companies as well as for other businesses. This paper describes and systematizes new techniques that afford in-depth knowledge of the occurrence of irregularities in these lines for the first time. Firstly, it has been characterized the response of a typical short-length tapped line by means of conventional time-domain reflectometry (TDR) technique as well as the additional new techniques proposed. These techniques are based on a conventional mathematical treatment of discrete-time signals. Moreover, they obviate the need for visual inspection at remote locations and only involve a moderate computational effort. Finally, it is exposed how fraudulent branch lines were detected in two real domestic supplies at the local electricity supply company by the proposed techniques. The first fraudulent line was detected in a long incoming main line buried in the ground by mean of the line-symmetry technique. The second one was detected in a short incoming main line located in building voids by the second echo and power spectral density methods. The accuracy of the results has been assessed in laboratory tests as well. Sun, 31 Aug 2014 00:00:00 +0300 A New Method of Improving Transformer Restricted Earth Fault Protection http://dx.doi.org/10.4316/aece.2014.03005 http://dx.doi.org/10.4316/aece.2014.03005 J. P., KRSTIVOJEVIC, M. B., DJURIC, A new method of avoiding malfunctioning of the transformer restricted earth fault (REF) protection is presented. Application of the proposed method would eliminate unnecessary operation of REF protection in the cases of faults outside protected zone of a transformer or a magnetizing inrush accompanied by current transformer (CT) saturation. On the basis of laboratory measurements and simulations the paper presents a detailed performance assessment of the proposed method which is based on digital phase comparator. The obtained results show that the new method was stable and precise for all tested faults and that its application would allow making a clear and precise difference between an internal fault and: (i) external fault or (ii) magnetizing inrush. The proposed method would improve performance of REF protection and reduce probability of maloperation due to CT saturation. The new method is robust and characterized by high speed of operation and high reliability and security. Sun, 31 Aug 2014 00:00:00 +0300 On the Optimality of Trust Network Analysis with Subjective Logic http://dx.doi.org/10.4316/aece.2014.03006 http://dx.doi.org/10.4316/aece.2014.03006 Y., PARK, Building and measuring trust is one of crucial aspects in e-commerce, social networking and computer security. Trust networks are widely used to formalize trust relationships and to conduct formal reasoning of trust values. Diverse trust network analysis methods have been developed so far and one of the most widely used schemes is TNA-SL (Trust Network Analysis with Subjective Logic). Recent papers claimed that TNA-SL always finds the optimal solution by producing the least uncertainty. In this paper, we present some counter-examples, which imply that TNA-SL is not an optimal algorithm. Furthermore, we present a probabilistic algorithm in edge splitting to minimize uncertainty. Sun, 31 Aug 2014 00:00:00 +0300 Improvement of the Gravitational Search Algorithm by means of Low-Discrepancy Sobol Quasi Random-Number Sequence Based Initialization http://dx.doi.org/10.4316/aece.2014.03007 http://dx.doi.org/10.4316/aece.2014.03007 O. T., ALTINOZ, A. E., YILMAZ, G.-W., WEBER, Nature-inspired optimization algorithms can obtain the optima by updating the position of each member in the population. At the beginning of the algorithm, the particles of the population are spread into the search space. The initial distribution of particles corresponds to the beginning points of the search process. Hence, the aim is to alter the position for each particle beginning with this initial position until the optimum solution will be found with respect to the pre-determined conditions like maximum iteration, and specific error value for the fitness function. Therefore, initial positions of the population have a direct effect on both accuracy of the optima and the computational cost. If any member in the population is close enough to the optima, this eases the achievement of the exact solution. On the contrary, individuals grouped far away from the optima might yield pointless efforts. In this study, low-discrepancy quasi-random number sequence is preferred for the localization of the population at the initialization phase. By this way, the population is distributed into the search space in a more uniform manner at the initialization phase. The technique is applied to the Gravitational Search Algorithm and compared via the performance on benchmark function solutions. Sun, 31 Aug 2014 00:00:00 +0300 Analysis of Chain of Events in Major Historic Power Outages http://dx.doi.org/10.4316/aece.2014.03008 http://dx.doi.org/10.4316/aece.2014.03008 T., HUANG, S. L., VORONCA, A. A., PURCAREA, A., ESTEBSARI, E., BOMPARD, Contemporary power systems are facing increasing intricate conditions that have never been considered when initially designing the infrastructure, such as malicious threats, accommodating smart grids, etc. As a consequence, blackouts albeit seldom but stubbornly keep appearing from time to time the world around, and demonstrate their devastating capability to create vast damage on both power systems and the society at large. Patterns of the blackout starting from the first triggering events to the system final status have emerged. A framework of a coding system was proposed in this paper in order to capture the common feature in the system evolution during the development of cascades. Cascades in a blackout can be tracked by a chain of events with the help of the codes. It is facile to adopt the framework to build up a knowledge base of blackouts. By applying the proposed framework to 31 selected historic blackouts, most frequent events, effects and origins are identified; the findings can provide useful information for grid designers and security experts for ranking the most imminent issues in their study. Sun, 31 Aug 2014 00:00:00 +0300 Kohonen Neural Network Stress Detection Using Only Electrodermal Activity Features http://dx.doi.org/10.4316/aece.2014.03009 http://dx.doi.org/10.4316/aece.2014.03009 I.-V., BORNOIU, O., GRIGORE, This paper presents a method for identifying human stress levels by using a Kohonen neural network. The study focuses on differentiating between a relaxed and a stressed state and it presents a series of parameters (skin conductance response signal power, skin conductance response signal frequency, skin conductance level gradient, response rise time and response amplitude) extracted only from the electrodermal activity signal. A very strict recording protocol was used to minimize the artifacts caused by the bad connection between electrodes and skin. A stress inducing method is presented that can be used to replicate results in laboratory conditions. Sun, 31 Aug 2014 00:00:00 +0300 A New Contactless Fault Diagnosis Approach for Pantograph-Catenary System Using Pattern Recognition and Image Processing Methods http://dx.doi.org/10.4316/aece.2014.03010 http://dx.doi.org/10.4316/aece.2014.03010 I., AYDIN, M., KARAKOSE, E., AKIN, Comfort and safety of railway transport has become more important as train speeds continue to increase. In electrified railways, the electrical current of the train is produced by the sliding contact between the pantograph and catenary. The quality of the current depends on the reliability of contact between the pantograph and catenary. So, pantograph inspection is very important task in electrified railways and it is periodically made for preventing dangerous situations. This inspection is operated manually by taking the pantograph to the service for visual anomalies. However, this monitoring is impractical because of time consuming and slowness, as locomotive remains disabled. An innovative method based on image processing and pattern recognition is proposed in this paper for online monitoring of the catenary-pantograph interaction. The images are acquired from a digital line-scan camera. Data are simultaneously processed according to edge detection and Hough transform, and then the obtained features are provided to a D-Markov based state machine, and the pantograph related faults, such as overheating of the pantograph strip, bursts of arcing, and irregular positioning of the contact line are diagnosed. The proposed method is verified by real faulty and healthy pantograph videos. Sun, 31 Aug 2014 00:00:00 +0300 Performance Comparison of Widely-Used Maximum Power Point Tracker Algorithms under Real Environmental Conditions http://dx.doi.org/10.4316/aece.2014.03011 http://dx.doi.org/10.4316/aece.2014.03011 A., DURUSU, I., NAKIR, A., AJDER, R., AYAZ, H., AKCA, M., TANRIOVEN, Maximum power point trackers (MPPTs) play an essential role in extracting power from photovoltaic (PV) panels as they make the solar panels to operate at the maximum power point (MPP) whatever the changes of environmental conditions are. For this reason, they take an important place in the increase of PV system efficiency. MPPTs are driven by MPPT algorithms and a number of MPPT algorithms are proposed in the literature. The comparison of the MPPT algorithms in literature are made by a sun simulator based test system under laboratory conditions for short durations. However, in this study, the performances of four most commonly used MPPT algorithms are compared under real environmental conditions for longer periods. A dual identical experimental setup is designed to make a comparison between two the considered MPPT algorithms as synchronized. As a result of this study, the ranking among these algorithms are presented and the results show that Incremental Conductance (IC) algorithm gives the best performance. Sun, 31 Aug 2014 00:00:00 +0300 Measurement Techniques Used for Study of Electrical Discharge Mechanisms in Insulating Ester Fluids under Lightning Impulse http://dx.doi.org/10.4316/aece.2014.03012 http://dx.doi.org/10.4316/aece.2014.03012 P., ROZGA, D., CIESLINSKI, M., STANEK, M., KACZMAREK, This article describes the measurement techniques used for the study of mechanisms of electrical discharge development in ester fluids under lightning impulse voltage. These techniques were applied in a laboratory experimental system which enabled the acquisition of a wide range of experimental data. An analysis of the data gives the possibility of assessing the processes responsible for electrical discharge propagation in different types of dielectric liquids. The photographic registration system provides photographs of developing discharges. This uses the shadowgraph method with an impulse laser as a flash lamp. The system of light emission registration enables collection of the time courses of light emitted by the developing discharge. Both systems operating together are synchronized using light guide communication. They are also unaffected by external disturbances such as network overvoltages and high electrical field stress. Preliminary results obtained on the basis of the described techniques, in the field of electrical discharge development in synthetic and natural esters, are presented in the article. These results confirm suitability of the methods used and give the possibility to formulate first conclusions. Sun, 31 Aug 2014 00:00:00 +0300 Development of Precision Information Measuring System for Ultraviolet Radiation http://dx.doi.org/10.4316/aece.2014.03013 http://dx.doi.org/10.4316/aece.2014.03013 O., ROSHCHUPKIN, R., SMID, A., SACHENKO, V., KOCHAN, Results of studying the neural network method are presented to reduce the amount of calibration points for the multisensor (MS), in particular for the photodiode. This allows transmitting to the MS individual conversion function and provides the high accuracy of measurement. The structure of synthesized information-measuring system and its measuring channel has created for implementing of the proposed approach. A structural scheme is proposed as well for values transmitting the etalon measures to measuring systems. Its used to determine the errors of photodiodes, as those which are produced for customers. This assures the interchangeability of sensors when using the individual conversion function. Sun, 31 Aug 2014 00:00:00 +0300 Single-Phase Direct AC-AC Boost Converter http://dx.doi.org/10.4316/aece.2014.03014 http://dx.doi.org/10.4316/aece.2014.03014 M., LUCANU, O., URSARU, C., AGHION, N., LUCANU, The paper presents a single-phase direct AC-AC boost converter. The circuit of the converter is simple and it has good performances, irrespective of the load nature. The adequate functioning and high performance of the circuit (the efficiency and waveform of the absorbed input current) were tested both by simulation and experimentally. Sun, 31 Aug 2014 00:00:00 +0300 Implementing Fault-Tolerant Services in Goal-Oriented Multi-Agent Systems http://dx.doi.org/10.4316/aece.2014.03015 http://dx.doi.org/10.4316/aece.2014.03015 S., BORA, In this paper, findings and analysis detail the implementation of fault tolerance services into a goal-oriented multi-agent systems development platform. Fault tolerance services are used to provide replication-based fault tolerance policies (i.e. static and adaptive) to multi-agent systems. This approach provided flexibility and reusability to multi-agent systems because fault tolerance policies were implemented as reusable plan structures. Thus, whenever an agent was needed to be made fault-tolerant, plans for fault tolerance policies were simply activated by sending a request message. Sun, 31 Aug 2014 00:00:00 +0300 Embedded Processor Oriented Compiler Infrastructure http://dx.doi.org/10.4316/aece.2014.03016 http://dx.doi.org/10.4316/aece.2014.03016 M., DJUKIC, M., POPOVIC, N., CETIC, I., POVAZAN, In the recent years, research of special compiler techniques and algorithms for embedded processors broaden the knowledge of how to achieve better compiler performance in irregular processor architectures. However, industrial strength compilers, besides ability to generate efficient code, must also be robust, understandable, maintainable, and extensible. This raises the need for compiler infrastructure that provides means for convenient implementation of embedded processor oriented compiler techniques. Cirrus Logic Coyote 32 DSP is an example that shows how traditional compiler infrastructure is not able to cope with the problem. That is why the new compiler infrastructure was developed for this processor, based on research. in the field of embedded system software tools and experience in development of industrial strength compilers. The new infrastructure is described in this paper. Compiler generated code quality is compared with code generated by the previous compiler for the same processor architecture. Sun, 31 Aug 2014 00:00:00 +0300 Quasi-stationary and Transient Regime of Induction Machine Supplied by Two Stator Frequencies http://dx.doi.org/10.4316/aece.2014.03017 http://dx.doi.org/10.4316/aece.2014.03017 R., MUNTEANU, A., CIMPEANU, A., GRAUR, C., FILOTE, G., LIUBA, The paper analyzes the behavior of an induction machine having the stator winding fed with two voltages of different frequencies. Usually, this particular operation is exploited in practice for testing high power induction machine (Ytterberg method). The specific aspects of this typical dynamic electromechanical process can be quantified only by simulation. Sun, 31 Aug 2014 00:00:00 +0300 Two Speed Single Phase Induction Motor with Electronically Controlled Capacitance http://dx.doi.org/10.4316/aece.2014.03018 http://dx.doi.org/10.4316/aece.2014.03018 R., CAMPEANU, M., CERNAT, An experimental exploration of using an Electronically Controlled Capacitor (ECC) in the supply system of a two speed single phase induction motor drive is presented. The ECC solution and the method with solution with a fixed value capacitor are comparatively analyzed in terms of efficiency and maximum torque availability. The losses and the over-voltages due to the electronic commutation are also analyzed. The paper proves the feasibility of the ECC solution and underlines its advantages and drawbacks. The optimal value of the switching frequency of ECC has been experimentally determined. Sun, 31 Aug 2014 00:00:00 +0300 Stochastic Simulation of Integrated Circuits with Nonlinear Black-Box Components via Augmented Deterministic Equivalents http://dx.doi.org/10.4316/aece.2014.04001 http://dx.doi.org/10.4316/aece.2014.04001 P., MANFREDI, I. S., STIEVANO, F. G., CANAVERO, This paper extends recent literature results concerning the statistical simulation of circuits affected by random electrical parameters by means of the polynomial chaos framework. With respect to previous implementations, based on the generation and simulation of augmented and deterministic circuit equivalents, the modeling is extended to generic and black-box multi-terminal nonlinear subcircuits describing complex devices, like those found in integrated circuits. Moreover, based on recently-published works in this field, a more effective approach to generate the deterministic circuit equivalents is implemented, thus yielding more compact and efficient models for nonlinear components. The approach is fully compatible with commercial (e.g., SPICE-type) circuit simulators and is thoroughly validated through the statistical analysis of a realistic interconnect structure with a 16-bit memory chip. The accuracy and the comparison against previous approaches are also carefully established. Sun, 30 Nov 2014 00:00:00 +0200 Enhanced Seamless Handover Algorithm for WiMAX and LTE Roaming http://dx.doi.org/10.4316/aece.2014.04002 http://dx.doi.org/10.4316/aece.2014.04002 M. N., HINDIA, A. W., REZA, K. A., NOORDIN, A. S. M. Z., KAUSAR, With the ever evolving mobile communication technology, achieving a high quality seamless mobility access across mobile networks is the present challenge to research and development engineers. Existing algorithms are used to make handover while a mobile station is roaming between cells. Such algorithms have some handover instability due to method of making handover decision. This paper proposes an enhanced handover algorithm that substantially reduces the handover redundancy in vertical and horizontal handovers. Also, it enables users to select the most appropriate target network technology based on their preferences even in the worst case where the mobile station roams between cell boundaries, and has high ability to have efficient performance in the critical area full of interferences. The proposed algorithm uses additional quality of service criteria, such as cost, delay, available bandwidth and network condition with two handover thresholds to achieve a better seamless handover process. After developing and testing this algorithm, the simulation results show a major reduction in the redundant handover, so high accuracy of horizontal and vertical handovers obtained. Moreover, the signal strength is kept at a level higher than the threshold during the whole simulation period, while maintaining low delay and connection cost compared to other two algorithms in both scenarios. Sun, 30 Nov 2014 00:00:00 +0200 Implementation of Genetic Algorithm in Control Structure of Induction Motor A.C. Drive http://dx.doi.org/10.4316/aece.2014.04003 http://dx.doi.org/10.4316/aece.2014.04003 P., BRANDSTETTER, M., DOBROVSKY, M., KUCHAR, Modern concepts of control systems with digital signal processors allow the implementation of time-consuming control algorithms in real-time, for example soft computing methods. The paper deals with the design and technical implementation of a genetic algorithm for setting proportional and integral gain of the speed controller of the A.C. drive with the vector-controlled induction motor. Important simulations and experimental measurements have been realized that confirm the correctness of the proposed speed controller tuned by the genetic algorithm and the quality speed response of the A.C. drive with changing parameters and disturbance variables, such as changes in load torque. Sun, 30 Nov 2014 00:00:00 +0200 Incentive Driven Distributed Generation Planning with Renewable Energy Resources http://dx.doi.org/10.4316/aece.2014.04004 http://dx.doi.org/10.4316/aece.2014.04004 S., KAUR, G. B., KUMBHAR, Renewable DGs may not be economically viable due to the stochastic generation and huge capital investment, but are an inevitable choice for sustainable energy development and future planning. An appropriate incentive scheme for clean Distributed Generation (DG) technologies is able to address this issue in an economical manner and is considered in proposed distributed generation planning model. The proposed model minimizes the annualized cost with Emission Offset Incentive (EOI) and the penalty for Green-house Gas (GHG) emissions. A meta-heuristic approach with dynamic tuning of control parameters is adopted to improve the success and the convergence rate of optimal solutions. The algorithm provides the optimal solution in terms of type, size, and location of DG. The proposed technique is implemented on IEEE 33-bus system. Proposed model helps the Distribution Network Operators (DNOs) to decide the proper DG technology from an economic prospective for eco-friendly energy planning. Sun, 30 Nov 2014 00:00:00 +0200 Performance Prediction of Double-Binary Turbo Codes with High Order Modulations in AWGN Channel http://dx.doi.org/10.4316/aece.2014.04005 http://dx.doi.org/10.4316/aece.2014.04005 H., BALTA, C., DOUILLARD, C., STOLOJESCU-CRISAN, J., GAL, In this paper, we present a method for turbo codes (TC) performance prediction, in terms of bit error rate (BER) and frame error rate (FER) versus signal to noise ratio (SNR), when they are used with high-order modulations (HOM). The method is based on two simplifying hypotheses and assumes that the BER/FER vs. SNR performance, in the case of BPSK modulation, is known. For the simulations we have chosen the double-binary turbo codes (DBTC) used in the DVB-RCS standard. The experimental results confirm the good accuracy of the proposed prediction method and validate our assumptions. The method has been applied in the case of 16-Quadrature Amplitude Modulation (16-QAM), but it can be easily extended to any other type of modulation. Sun, 30 Nov 2014 00:00:00 +0200 Performance Analysis of Turbo-Coded Decode-and-Forward Relay Channels with Middleton Class-A Impulsive Noise http://dx.doi.org/10.4316/aece.2014.04006 http://dx.doi.org/10.4316/aece.2014.04006 M., ANDREI, L., TRIFINA, D., TARNICERIU, Relays are used to improve wireless network performances. In this paper, the decode-and-forward relaying technique is used to achieve spatial diversity. We considered a system with a symmetric turbo coded relay and its three channels (source-relay, source-destination and relay-destination) affected by impulsive noise. The statistic model used for noise was Middleton additive white Class-A. The performances are evaluated by investigating the system behavior when at destination the traditional iterative decoder and the heuristically modified iterative decoder proposed by Huynh are used. The simulations were made for different parameter values of the noise model and they showed that in high impulsive noise conditions, the relay system offers better performance than the direct link. However, when the source-destination channel is weak, the traditional iterative decoder assures an additional gain than the heuristically modified one. When the Gaussian component is dominant, the relay system ensures better performances, but only at high values of Signal-to-Noise Ratio. In this case, the heuristically modified decoder, with conveniently chosen value for alpha, is better than the traditional one in terms of bit error rate. Sun, 30 Nov 2014 00:00:00 +0200 Intrusion Detection in NEAR System by Anti-denoising Traffic Data Series using Discrete Wavelet Transform http://dx.doi.org/10.4316/aece.2014.04007 http://dx.doi.org/10.4316/aece.2014.04007 F., VANCEA, The paper presents two methods for detecting anomalies in data series derived from network traffic. Intrusion detection systems based on network traffic analysis are able to respond to incidents never seen before by detecting anomalies in data series extracted from the traffic. Some anomalies manifest themselves as pulses of various sizes and shapes, superimposed on series corresponding to normal traffic. In order to detect those impulses we propose two methods based on discrete wavelet transformation. Their effectiveness expressed in relative thresholds on pulse amplitude for no false negatives and no false positives is then evaluated against pulse duration and Hurst characteristic of original series. Different base functions are also evaluated for efficiency in the context of the proposed methods. Sun, 30 Nov 2014 00:00:00 +0200 Detection of Inter-turn Faults in Five-Phase Permanent Magnet Synchronous Motors http://dx.doi.org/10.4316/aece.2014.04008 http://dx.doi.org/10.4316/aece.2014.04008 H., SAAVEDRA, J.-R., RIBA, L., ROMERAL, Five-phase permanent magnet synchronous motors (PMSMs) have inherent fault-tolerant capabilities. This paper analyzes the detection of inter-turn short circuit faults in five-phase PMSMs in their early stage, i.e. with only one turn in short circuit by means of the analysis of the stator currents and the zero-sequence voltage component (ZSVC) spectra. For this purpose, a parametric model of five-phase PMSMs which accounts for the effects of inter-turn short circuits is developed to determine the most suitable harmonic frequencies to be analyzed to detect such faults. The amplitudes of these fault harmonic are analyzed in detail by means of finite-elements method (FEM) simulations, which corroborate the predictions of the parametric model. A low-speed five-phase PMSM for in-wheel applications is studied and modeled. This paper shows that the ZSVC-based method provides better sensitivity to diagnose inter-turn faults in the analyzed low-speed application. Results presented under a wide speed range and different load levels show that it is feasible to diagnose such faults in their early stage, thus allowing applying a post-fault strategy to minimize their effects while ensuring a safe operation. Sun, 30 Nov 2014 00:00:00 +0200 Simplified Genetic Algorithm: Simplify and Improve RGA for Parameter Optimizations http://dx.doi.org/10.4316/aece.2014.04009 http://dx.doi.org/10.4316/aece.2014.04009 R., NGAMTAWEE, P., WARDKEIN, The structural complexity and complicated generic operators of Genetic Algorithm (GA) contribute to its slow computational speed. Furthermore, GA and other similar algorithms with a small population size are vulnerable to the problem of premature convergence. Premature convergence causes the algorithms to stagnate and stop searching, giving rise to wasteful computation. Even though the problem can be addressed with a larger population size, computational time is inevitably increased. This research paper has thus proposed Simplified Genetic Algorithm (SimpGA). This algorithm utilizes a one-pair-built-all structure in which only two parent chromosomes are required to produce the entire population (offspring). Rather than relying on the conventional operators, simplified operators, i.e. timer mutation, diform crossover and topmost selection, are used in the proposed SimpGA. In addition, tests are carried out with SimpGA on four test functions and four applications. The experimental results show that SimpGA is simpler to implement and performs well, especially in a small population environment. Sun, 30 Nov 2014 00:00:00 +0200 FIR Filter Sharpening by Frequency Masking and Pipelining-Interleaving Technique http://dx.doi.org/10.4316/aece.2014.04010 http://dx.doi.org/10.4316/aece.2014.04010 M. P., CIRIC, V. M., RADONJIC, R. R., KRNETA, N. J., STEFANOVIC, This paper focuses on the improvements of digital filters with a highly sharp transition zone on the Xilinx FPGA chips by combining a sharpening method based on the amplitude change function and frequency masking and PI (Pipelining-Interleaving) techniques. A linear phase requires digital filter realizations with Finite Impulse Response (FIR) filters. On the other hand, a drawback of FIR filters applications is a low computational efficiency, especially in applications such as filter sharpening techniques, because this technique uses processing the data by repeated passes through the same filter. Computational efficiency of FIR filters can be significantly improved by using some of the multirate techniques, and such a degree of computation savings cannot be achieved in multirate implementations of IIR (Infinite Impulse Response) filters. This paper shows the realization of a filter sharpening method with FIR filters combined with frequency masking and PI (Pipelining-Interleaving) technique in order to effectively realize the filter with improved characteristic. This realization at the same time keeps the good features of FIR filters such as the linear phase characteristic. Sun, 30 Nov 2014 00:00:00 +0200 Visual Peoplemeter: A Vision-based Television Audience Measurement System http://dx.doi.org/10.4316/aece.2014.04011 http://dx.doi.org/10.4316/aece.2014.04011 A. K., SKELIN, T. G., SUPUK, M., BONKOVIC, Visual peoplemeter is a vision-based measurement system that objectively evaluates the attentive behavior for TV audience rating, thus offering solution to some of drawbacks of current manual logging peoplemeters. In this paper, some limitations of current audience measurement system are reviewed and a novel vision-based system aiming at passive metering of viewers is prototyped. The system uses camera mounted on a television as a sensing modality and applies advanced computer vision algorithms to detect and track a person, and to recognize attentional states. Feasibility of the system is evaluated on a secondary dataset. The results show that the proposed system can analyze viewer's attentive behavior, therefore enabling passive estimates of relevant audience measurement categories. Sun, 30 Nov 2014 00:00:00 +0200 A Fractional Lower Order Statistics-Based MIMO Detection Method in Impulse Noise for Power Line Channel http://dx.doi.org/10.4316/aece.2014.04012 http://dx.doi.org/10.4316/aece.2014.04012 Z., CHEN, X., GENG, F., YIN, Impulse noise in power line communication (PLC) channel seriously degrades the performance of Multiple-Input Multiple-Output (MIMO) system. To remedy this problem, a MIMO detection method based on fractional lower order statistics (FLOS) for PLC channel with impulse noise is proposed in this paper. The alpha stable distribution is used to model impulse noise, and FLOS is applied to construct the criteria of MIMO detection. Then the optimal detection solution is obtained by recursive least squares algorithm. Finally, the transmitted signals in PLC MIMO system are restored with the obtained detection matrix. The proposed method does not require channel estimation and has low computational complexity. The simulation results show that the proposed method has a better PLC MIMO detection performance than the existing ones under impulsive noise environment. Sun, 30 Nov 2014 00:00:00 +0200 A Simplified Analytical Technique for High Frequency Characterization of Resonant Tunneling Diode http://dx.doi.org/10.4316/aece.2014.04013 http://dx.doi.org/10.4316/aece.2014.04013 A. A. S., DESSOUKI, R. M., ABDALLAH, M. H., ALY, his paper proposes a simplified analytical technique for high frequency characterization of the resonant tunneling diode (RTD). An equivalent circuit of the RTD that consists of a parallel combination of conductance, G (V, f), and capacitance, C (V, f) is formulated. The proposed approach uses the measured DC current versus voltage characteristic of the RTD to extract the equivalent circuit elements parameters in the entire bias range. Using the proposed analytical technique, the frequency response - including the high frequency range - of many characteristic aspects of the RTD is investigated. Also, the maximum oscillation frequency of the RTD is calculated. The results obtained have been compared with those concluded and reported in the literature. The reported results in literature were obtained through simulation of the RTD at high frequency using either a computationally complicated quantum simulator or through difficult RF measurements. A similar pattern of results and highly concordant conclusion are obtained. The proposed analytical technique is simple, correct, and appropriate to investigate the behavior of the RTD at high frequency. In addition, the proposed technique can be easily incorporated into SPICE program to simulate circuits containing RTD. Sun, 30 Nov 2014 00:00:00 +0200 Fingerprint Ridge Frequency Estimation in the Fourier Domain http://dx.doi.org/10.4316/aece.2014.04014 http://dx.doi.org/10.4316/aece.2014.04014 V.-V., PATRICIU, S., SPINU, Ridge frequency is an important parameter in fingerprint image processing and feature extraction. However, ridge frequency estimation is a difficult task in noisy fingerprint images. A simple and accurate method for the computation of fingerprint ridge frequency using the Fourier spectrum is proposed. The results of the experiments conducted on a collection of fingerprints as well as a quantitative method for performance evaluation based on a Gabor filter-bank are presented. The proposed method is robust with respect to noise and reliable frequency images are obtained. Sun, 30 Nov 2014 00:00:00 +0200 Mathematical Formula Search using Natural Language Queries http://dx.doi.org/10.4316/aece.2014.04015 http://dx.doi.org/10.4316/aece.2014.04015 S., YANG, Y., KO, This paper presents how to search mathematical formulae written in MathML when given plain words as a query. Since the proposed method allows natural language queries like the traditional Information Retrieval for the mathematical formula search, users do not need to enter any complicated math symbols and to use any formula input tool. For this, formula data is converted into plain texts, and features are extracted from the converted texts. In our experiments, we achieve an outstanding performance, a MRR of 0.659. In addition, we introduce how to utilize formula classification for formula search. By using class information, we finally achieve an improved performance, a MRR of 0.690. Sun, 30 Nov 2014 00:00:00 +0200 A Popularity-Aware Semantic Overlay for Efficient Peer-to-Peer Search http://dx.doi.org/10.4316/aece.2014.04016 http://dx.doi.org/10.4316/aece.2014.04016 C., LEE, J., CHOI, E., KIM, This paper presents a novel semantic overlay scheme that connects peers based on the similarity of their contents. Semantic closeness among overlay peers can effectively be determined via the exchanges of their content summary using Bloom filters. The overlay link quality is further improved by carefully selecting semantic neighbors according to their potential to contribute to content-based searches. The basic idea behind the semantic neighbor selection is that highly replicated documents should not excessively dominate the overlay topology, overshadowing rare to modestly-replicated items whose query efficiency is often more critical for overall search performance. The efficacy of the proposed semantic overlay is validated through our simulation study which demonstrates superior overlay link quality and query routing performance. Sun, 30 Nov 2014 00:00:00 +0200 High Performance Processing and Analysis of Geospatial Data Using CUDA on GPU http://dx.doi.org/10.4316/aece.2014.04017 http://dx.doi.org/10.4316/aece.2014.04017 N., STOJANOVIC, D., STOJANOVIC, In this paper, the high-performance processing of massive geospatial data on many-core GPU (Graphic Processing Unit) is presented. We use CUDA (Compute Unified Device Architecture) programming framework to implement parallel processing of common Geographic Information Systems (GIS) algorithms, such as viewshed analysis and map-matching. Experimental evaluation indicates the improvement in performance with respect to CPU-based solutions and shows feasibility of using GPU and CUDA for parallel implementation of GIS algorithms over large-scale geospatial datasets. Sun, 30 Nov 2014 00:00:00 +0200 Modified Current Differencing Unit and its Application for Electronically Reconfigurable Simple First-order Transfer Function http://dx.doi.org/10.4316/aece.2015.01001 http://dx.doi.org/10.4316/aece.2015.01001 R., SOTNER, J., JERABEK, N., HERENCSAR, T., ZAK, W., JAIKLA, K., VRBA, Modified current differencing unit (MCDU) and its simple filtering application are introduced in this paper. Modification of the well-known current differencing unit consists in weighted difference of both input currents controlled by adjustable current gain, controllable intrinsic resistance of both current input terminals, and availability of additional voltage terminal(s). Definition of MCDU therefore requires four adjustable parameters (B1, B2, Rp, Rn). A presented active element offers and combines benefits of electronically controllable current conveyor of second generation and current differencing unit and allows synthesis of interesting adjustable applications, which are not available by classical approaches based on simple elements. MCDU brings variability of the transfer function into the structure. It provides several transfer types without necessity of input or output node change by simple electronic tuning. A presented structure represents so-called reconnection-less reconfigurable current-mode filter for realization of all-pass, inverting high-pass, low-pass and direct transfer response. Behavioral model of the MCDU was prepared and carefully tested in filtering application. Spice simulations and measurements confirmed theoretical assumptions. Sat, 28 Feb 2015 00:00:00 +0200 Fault Correspondence Analysis in Complex Electric Power Systems http://dx.doi.org/10.4316/aece.2015.01002 http://dx.doi.org/10.4316/aece.2015.01002 C., WANG, Y., ZHANG, Wide area measurement system (WAMS) mainly serves for the requirement of time synchronization in complex electric power systems. The analysis and control of power system mostly depends on the measurement of state variables, and WAMS provides the basis for dynamic monitoring of power system by these measurements, which can also satisfy the demands of observable, controllable, real-time analysis and decision, self-adaptive etc. requested by smart grid. In this paper, based on the principles of fault correspondence analysis, by calculating row characteristic which represents nodal electrical information and column characteristic which represents acquisition time information, we will conduct intensive research on fault detection. The research results indicate that the fault location is determined by the first dimensional variable, and the occurrence time of fault is determined by the second dimensional variable. The research in this paper will contribute to the development of future smart grid. Sat, 28 Feb 2015 00:00:00 +0200 Sparse FIR Filter Design Based on Simulated Annealing Algorithm http://dx.doi.org/10.4316/aece.2015.01003 http://dx.doi.org/10.4316/aece.2015.01003 C., WU, X., XU, X., ZHANG, L., ZHAO, Design of sparse finite impulse response (FIR) filter is of great importance to reduce the implementation cost. However, design of sparse FIR filter under the prescribed constraints is a highly non-convex problem. Traditional methods generally relax the non-convex design problem to a convex one, which leads the obtained solutions suboptimal. In this paper, the non-convex design problem is modeled as a combinatorial optimization problem and an algorithm based on simulated annealing (SA) is presented to solve it. At each stage of the proposed algorithm, with a fixed sparsity of the filter coefficients, SA is employed for finding the possible sparse pattern of the FIR filter that satisfies the prescribed constraints. Once the design constraints have been satisfied, the sparsity is added by one and the algorithm moves to the next stage. The algorithm successively increases the sparsity of the filter coefficients until no sparser solution could be obtained. The proposed algorithm is evaluated by two sets of examples, and better results can be achieved than other existing algorithms. Sat, 28 Feb 2015 00:00:00 +0200 FPGA-Based Embedded System Architecture for Micro-Genetic Algorithms Applied to Parameters Optimization in Motion Control http://dx.doi.org/10.4316/aece.2015.01004 http://dx.doi.org/10.4316/aece.2015.01004 A. Y., JAEN-CUELLAR, L., MORALES-VELAZQUEZ, R., ROMERO-TRONCOSO, R. A., OSORNIO-RIOS, Meta-heuristic techniques are powerful tools used to find an optimal solution for complex problems to which classical techniques find difficult to solve. The features among all the meta-heuristic techniques are the high amount of computational resources spent on their implementation and the computing effort generated on their execution. For this reason, many works have proposed their use on the base of software methodologies without achieving online or real-time performance. In the present work, two strategies that implement the Genetic Algorithms are presented by using the micro-population concept with the objective of reducing computational resources, increasing the heuristic search speed, and providing simplicity in its design. Both strategies are implemented in hardware architecture; the first, as a software strategy in a proprietary embedded processor, the second, as a hardware co-processor unit. In order to validate the proposed approaches, several tests to optimize a motion controller in a servo system are presented and compared with a classical tuning technique. Sat, 28 Feb 2015 00:00:00 +0200 An Evolutionary Approach to the Soft Error Mitigation Technique for Cell-Based Design http://dx.doi.org/10.4316/aece.2015.01005 http://dx.doi.org/10.4316/aece.2015.01005 J. K., PARK, J. T., KIM, In this paper, we present a soft error mitigation algorithm that searches for the proper gate sizes within constrained gate-level designs. The individual gate sizing has an impact on the former optimization results and degrades the quality of the solution. In order to address this inefficiency, we utilize a modified topological sort that preserves the preceding local optima. Using a new local searcher, a hybrid genetic optimization technique for soft error mitigation is proposed. This evolutionary search algorithm has general genetic operators: the initialization of the population, crossover, mutation and selection operators. The local searcher consists of two subsequent heuristics. These search algorithms make the individual chromosome move to better search regions in a short time and then, the population acquires various candidates for the global optimum with the help of other genetic operators. The experiments show that the proposed genetic algorithm achieves an approximately 90% reduction in the number of soft errors when compared to the conventional greedy approach with at most 30% overhead for the area and critical path delay. Sat, 28 Feb 2015 00:00:00 +0200 Modeling of a Switched Reluctance Generator Using Cubic Spline Coefficients on the Phase Flux Linkage, Inductance and Torque Equations http://dx.doi.org/10.4316/aece.2015.01006 http://dx.doi.org/10.4316/aece.2015.01006 P., KERDTUAD, S., KITTIRATSATCHA, This paper presents a dynamic modeling method for a switched reluctance generator (SRG) by which cubic spline coefficients are applied to the phase flux linkage, phase inductance and electromagnetic torque equations. To obtain the cubic spline coefficients, the flux linkage data of the SRG are first determined by a finite element analysis (FEA) prior to fitting into a third order polynomial equation to derive the curve fitting flux linkage data. In addition, the accuracy of the curve fitting data is verified by comparing with the FEA flux linkage data. Then, the cubic spline coefficients are applied to the proposed dynamic model of the SRG to simulate the machine behaviors. The simulations were carried out in a single pulse mode with fixed conduction angles at a rotation speed lower than, equal to and higher than a based speed of 6000 rpm. This research also presents the experimental results of an 8/6 SRG based on a TMS320F2812 DSP drive system, including the phase voltage, dc-link voltage, phase current, dc-load current waveforms, as well as the output power-speed characteristics. The simulation and experimental results are compared to verify the accuracy of the proposed model. Sat, 28 Feb 2015 00:00:00 +0200 The Development of Models for Assessment of the Geomagnetically Induced Currents Impact on Electric Power Grids during Geomagnetic Storms http://dx.doi.org/10.4316/aece.2015.01007 http://dx.doi.org/10.4316/aece.2015.01007 V. V., VAKHNINA, A. A., KUVSHINOV, V. A., SHAPOVALOV, A. N., CHERNENKO, D. A., KRETOV, A model and an algorithm for the calculation of the functioning of an electric power grid of arbitrary configuration and complexity during geomagnetic storms were developed. The calculations were performed in the MATLAB mathematical package and the Simulink environment. The binding of objects to geographical coordinates is realized in the model, which enables to determine the matrix of potentials of geoelectric fields in nodal points. In order to define the instantaneous magnetizing currents, the power transformers are designed on the basis of the T-shaped equivalent circuit with a nonlinear mutual inductance of magnetization branch. Calculation of RMS values of active, reactive and total power values in all the elements is done with regard to the impact of harmonic components of the current and voltage. The results of modeling of the impact of geomagnetic storms of various intensity with the west-east direction of the geoelectric field vector for Samara region electric power grid are given. Sat, 28 Feb 2015 00:00:00 +0200 Computer Vision Based Measurement of Wildfire Smoke Dynamics http://dx.doi.org/10.4316/aece.2015.01008 http://dx.doi.org/10.4316/aece.2015.01008 M., BUGARIC, T., JAKOVCEVIC, D., STIPANICEV, This article presents a novel method for measurement of wildfire smoke dynamics based on computer vision and augmented reality techniques. The aspect of smoke dynamics is an important feature in video smoke detection that could distinguish smoke from visually similar phenomena. However, most of the existing smoke detection systems are not capable of measuring the real-world size of the detected smoke regions. Using computer vision and GIS-based augmented reality, we measure the real dimensions of smoke plumes, and observe the change in size over time. The measurements are performed on offline video data with known camera parameters and location. The observed data is analyzed in order to create a classifier that could be used to eliminate certain categories of false alarms induced by phenomena with different dynamics than smoke. We carried out an offline evaluation where we measured the improvement in the detection process achieved using the proposed smoke dynamics characteristics. The results show a significant increase in algorithm performance, especially in terms of reducing false alarms rate. From this it follows that the proposed method for measurement of smoke dynamics could be used to improve existing smoke detection algorithms, or taken into account when designing new ones. Sat, 28 Feb 2015 00:00:00 +0200 Enhancing ASR Systems for Under-Resourced Languages through a Novel Unsupervised Acoustic Model Training Technique http://dx.doi.org/10.4316/aece.2015.01009 http://dx.doi.org/10.4316/aece.2015.01009 H., CUCU, A., BUZO, L., BESACIER, C., BURILEANU, Statistical speech and language processing techniques, requiring large amounts of training data, are currently state-of-the-art in automatic speech recognition. For high-resourced, international languages this data is widely available, while for under-resourced languages the lack of data poses serious problems. Unsupervised acoustic modeling can offer a cost and time effective way of creating a solid acoustic model for any under-resourced language. This study describes a novel unsupervised acoustic model training method and evaluates it on speech data in an under-resourced language: Romanian. The key novel factor of the method is the usage of two complementary seed ASR systems to produce high quality transcriptions, with a Character Error Rate (ChER) < 5%, for initially untranscribed speech data. The methodology leads to a relative Word Error Rate (WER) improvement of more than 10% when 100 hours of untranscribed speech are used. Sat, 28 Feb 2015 00:00:00 +0200 Multi-objective Optimal Design of a Five-Phase Fault-Tolerant Axial Flux PM Motor http://dx.doi.org/10.4316/aece.2015.01010 http://dx.doi.org/10.4316/aece.2015.01010 H., SAAVEDRA, J.-R., RIBA, L., ROMERAL, Electric motors used for traction purposes in electric vehicles (EVs) must meet several requirements, including high efficiency, high power density and fault-tolerance. Among them, permanent magnet synchronous motors (PMSMs) highlight. Especially, five-phase axial flux permanent magnet (AFPM) synchronous motors are particularly suitable for in-wheel applications with enhanced fault-tolerant capabilities. This paper is devoted to optimally design an AFPM for in-wheel applications. The main geometric, electric and mechanical parameters of the designed AFPM are calculated by applying an iterative method based on a set of analytical equations, which is assisted by means of a reduced number of three-dimensional finite element method (3D-FEM) simulations to limit the computational burden. To optimally design the AFPM, a constrained multi-objective optimization process based on a genetic algorithm is applied, in which two objective functions are considered, i.e. the power density and the efficiency. Several fault-tolerance constraints are settled during the optimization process to ensure enhanced fault-tolerance in the resulting motor design. The accuracy of the best solution attained is validated by means of 3D-FEM simulations. Sat, 28 Feb 2015 00:00:00 +0200 Low Complexity V-BLAST MIMO-OFDM Detector by Successive Iterations Reduction http://dx.doi.org/10.4316/aece.2015.01011 http://dx.doi.org/10.4316/aece.2015.01011 K., AHMED, S., ABUELENIN, H., SOLIMAN, K., AL-BARBARY, V-BLAST detection method suffers large computational complexity due to its successive detection of symbols. In this paper, we propose a modified V-BLAST algorithm to decrease the computational complexity by reducing the number of detection iterations required in MIMO communication systems. We begin by showing the existence of a maximum number of iterations, beyond which, no significant improvement is obtained. We establish a criterion for the number of maximum effective iterations. We propose a modified algorithm that uses the measured SNR to dynamically set the number of iterations to achieve an acceptable bit-error rate. Then, we replace the feedback algorithm with an approximate linear function to reduce the complexity. Simulations show that significant reduction in computational complexity is achieved compared to the ordinary V-BLAST, while maintaining a good BER performance. Sat, 28 Feb 2015 00:00:00 +0200 Voltage Control of Distribution Grids with Multi-Microgrids Using Reactive Power Management http://dx.doi.org/10.4316/aece.2015.01012 http://dx.doi.org/10.4316/aece.2015.01012 P., WLODARCZYK, A., SUMPER, M., CRUZ, Low-voltage Microgrids can be valuable sources of ancillary services for the Distribution System Operators (DSOs). The aim of this paper was to study if and how multi-microgrids can contribute to Voltage Control (VC) in medium-voltage distribution grids by means of reactive power generation and/or absorption. The hierarchical control strategy was proposed with the main focus on the tertiary control which was defined as optimal power flow problem. The interior-point algorithm was applied to optimise experimental benchmark grid with the presence of Distributed Energy Resources (DERs). Moreover, two primary objectives were formulated: active power losses and amount of reactive power used to reach the voltage profile. As a result the active power losses were minimised to the high extent achieving the savings around 22% during entire day. Sat, 28 Feb 2015 00:00:00 +0200 Anomaly Detection Using Power Signature of Consumer Electrical Devices http://dx.doi.org/10.4316/aece.2015.01013 http://dx.doi.org/10.4316/aece.2015.01013 C., CERNAZANU-GLAVAN, M., MARCU, The use of the smart grid for developing intelligent applications is a current trend of great importance. One advantage lies in the possibility of direct monitoring of all devices connected to the electrical network in order to prevent possible malfunctions. Therefore, this paper proposes a method for an automatic detection of the malfunctioning of low-intelligence consumer electrical devices. Malfunctioning means any deviation of a household device from its normal operating schedule. The method is based on a comparison technique, consisting in the correlation between the current power signature of a device and an ideal signature (the standard signature provided by the manufacturer). The first step of this method is to achieve a simplified form of power signature which keeps all the original features. Further, the signal is segmented based on the data provided by an event detection algorithm (values of the first derivatives) and each resulting component is approximated using a regression function. The final step consists of an analysis based on the correlation between the computed regression coefficients and the coefficients of the standard signal. Following this analysis all the differences are classified as a malfunctioning of the analyzed device. Sat, 28 Feb 2015 00:00:00 +0200 FPGA Based Compact and Efficient Full Image Buffering for Neighborhood Operations http://dx.doi.org/10.4316/aece.2015.01014 http://dx.doi.org/10.4316/aece.2015.01014 M., KAZMI, A., AZIZ, P., AKHTAR, D.-S., KUNDI, Image processing systems based on neighborhood operations i.e. Neighborhood Processing Systems (NPSs) are computationally expensive and memory intensive. Field Programmable Gate Array (FPGA) based parallel processing architectures accelerate calculations of NPS provided if they have fast external-memory data access by using on-chip data buffers. The conventional data buffers namely full Row Buffers (RBs) implemented with FPGA embedded memory resources i.e. Block RAMs (BRAMs) are resource inefficient. It makes overall NPS implementation on FPGA expensive and infeasible especially for resource-constraint environment. This paper presents compact and efficient image buffering architecture with an additional feature of pre-fetching. Proposed design fits in minimal BRAMs by using small yet efficient Main Control Unit (MCU). Its optimal multi-rated BRAM data accessing technique reduces BRAM cost to provide multiple pixels of pre-fetched data/clock to NPS in a fixed pattern. It controls and synchronizes BRAMs operations to attain throughput of 1 clock/pixel. Thus our buffer architecture with 66% reduction in BRAM requirement as compared to conventional RBs is capable to support buffering for real time systems with high resolution (1080x1920@62fps). Therefore proposed buffer architecture can suitably replace conventional RB in any real time NPS application. Sat, 28 Feb 2015 00:00:00 +0200 Analysis of Torque Ripple Reduction in Induction Motor DTC Drive with Multiple Voltage Vectors http://dx.doi.org/10.4316/aece.2015.01015 http://dx.doi.org/10.4316/aece.2015.01015 M. M., ROSIC, M. Z., BEBIC, This paper shows an analysis of torque ripple reduction in modified DTC algorithm by using multiple voltage vectors with the appropriate multilevel hysteresis controller. A short theoretical background of classical and proposed DTC algorithm was given at the beginning. Experimental results of the proposed DTC algorithm, implemented on digital signal processor F2812, were analysed in comparison with classical DTC. It is shown that the torque ripple can be reduced by selecting voltage vectors with an appropriate intensity. Motor current oversampling was used to analyse the estimated torque behaviour during one DSP sampling period. Furthermore, the analysis of torque ripple reduction with oversampled torque values was conducted in relation to the number of available voltage vectors. The analysis shows that the proposed DTC algorithm allows significant torque ripple reduction while retaining the simplicity, small computational burden and good dynamic characteristics of the classical DTC. Sat, 28 Feb 2015 00:00:00 +0200 3D Object Metamorphosis with Pseudo Metameshes http://dx.doi.org/10.4316/aece.2015.01016 http://dx.doi.org/10.4316/aece.2015.01016 B., MOCANU, R., TAPU, T., ZAHARIA, In this paper we introduce a novel framework for 3D object metamorphosis, represented by closed triangular meshes. The systems returns a high quality transition sequence, smooth and gradual, that is visual pleasant and consistent to both source and target topologies. The method starts by parameterizing both the source and the target model to a common domain (the unit sphere). Then, the features selected from the two models are aligned by applying the CTPS C2a radial basis functions. We demonstrate how the selected approach can create valid warping by deforming the models embedded into the parametric domain. In the final stage, we propose and validate a novel algorithm to construct a pseudo-supermesh able to approximate both, the source and target 3D objects. By using the pseudo-supermesh we developed a morphing transition consistent with respect to both geometry and topology of the 3D models. Sat, 28 Feb 2015 00:00:00 +0200 Performance Improvement for Quasi Periodical Disturbances in PH Control http://dx.doi.org/10.4316/aece.2015.01017 http://dx.doi.org/10.4316/aece.2015.01017 K., STEBEL, D., CHOINSKI, Proper operation of control systems is essential for achieving good economic results and reducing control effort. The paper is focused on presenting a new application of a well-known concept. The main scope of the paper is a practical presentation of obtaining a minimum process performance index by means of known statistical tools. This is achievable by appropriate selection of the correction value for set-point and the width of the time window of a statistical algorithm. The proposed novel algorithm was successfully implemented in the pilot neutralization process. On one hand, the proposed algorithm is a corrector of the statistical properties of the control error, and, on the other one, of a set point of the control system. Sat, 28 Feb 2015 00:00:00 +0200 Efficiency Analyses of a DC Residential Power Distribution System for the Modern Home http://dx.doi.org/10.4316/aece.2015.01018 http://dx.doi.org/10.4316/aece.2015.01018 H. E., GELANI, F., DASTGEER, The electric power system started as DC back in the nineteenth century. However, the DC paradigm was soon ousted by AC due to inability of DC to change its voltage level. Now, after many years, with the development of power electronic converters capable of stepping-up and down DC voltage and converting it to-and-from AC, DC appears to be challenging AC and attempting a comeback. We now have DC power generation by solar cells, fuel cells and wind farms, DC power transmission in the form of HVDC (High Voltage DC) transmission, DC power utilization by various modern electronic loads and DC power distribution that maybe regarded as still in research phase. This paper is an attempt to investigate feasibility of DC in the distribution portion of electrical power system. Specifically, the efficiency of a DC distribution system for residential localities is determined while keeping in view the concept of daily load variation. The aim is to bring out a more practical value of system efficiency as the efficiencies of DC/DC converters making up the system vary with load variation. This paper presents the modeling and simulation of a DC distribution system and efficiency results for various scenarios are presented. Sat, 28 Feb 2015 00:00:00 +0200 A Two-Stage Matching Method for Multi-Component Shapes http://dx.doi.org/10.4316/aece.2015.01019 http://dx.doi.org/10.4316/aece.2015.01019 R., HASSANPOUR, In this paper a shape matching algorithm for multiple component objects has been proposed which aims at matching shapes by a two-stage method. The first stage extracts the similarity features of each component using a generic shape representation model. The first stage of our shape matching method normalizes the components for orientation and scaling, and neglects minor deformations. In the second stage, the extracted similarity features of the components are combined with their relative spatial characteristics for shape matching. Some important application areas for the proposed multi-component shape matching are medical image registration, content based medical image retrieval systems, and matching articulated objects which rely on the a-priori information of the model being searched. In these applications, salient features such as vertebrae or rib cage bones can be easily segmented and used. These features however, show differences from person to person on one hand and similarities at different cross-sectional images of the same examination on the other hand. The proposed method has been tested on articulated objects, and reliable registration of 3-dimensional abdominal computed tomography images. Sat, 28 Feb 2015 00:00:00 +0200 Signal Integrity Applications of an EBG Surface http://dx.doi.org/10.4316/aece.2015.02001 http://dx.doi.org/10.4316/aece.2015.02001 L., MATEKOVITS, A., DE SABATA, Electromagnetic band-gap (EBG) surfaces have found applications in mitigation of parallel-plate noise that occurs in high speed circuits. A 2D periodic structure previously introduced by the same authors is dimensioned here for adjusting EBG parameters in view of meeting applications requirements by decreasing the phase velocity of the propagating waves. This adjustment corresponds to decreasing the lower bound of the EBG spectra. The positions of the EBGs' in frequency are determined through full-wave simulation, by solving the corresponding eigenmode equation and by imposing the appropriate boundary conditions on all faces of the unit cell. The operation of a device relying on a finite surface is also demonstrated. Obtained results show that the proposed structure fits for the signal integrity related applications as verified also by comparing the transmission along a finite structure of an ideal signal line and one with an induced discontinuity. Sun, 31 May 2015 00:00:00 +0300 The Effect of Images on Surface Potential and Resistance Calculation of Grounding Systems http://dx.doi.org/10.4316/aece.2015.02002 http://dx.doi.org/10.4316/aece.2015.02002 A., MARTINS, S., MARIANO, M., CALADO, In the grounding systems with a two layers soil, the calculation of the surface potential using the image method is sometimes impossible due to singularities, avoiding researchers to use the method for electrodes in the bottom layer. In the literature this problem solution is refereed as unreliable or solved with other more complex methods. This paper presents a new approach to calculate the surface potentials in a two. layer soil, for electrodes in the bottom layer, when images are at surface. The singularities in computing surface voltage, when the first image upwards lies at surface, are analysed and it's shown that a small change in top layer thickness allows an approximate solution. Surface potentials due to grid conductor are also considered and the values of resistance are compared with those from other methodologies. Singularities for a ground rod that crosses the two layers are also treated. The obtained values of resistance are not satisfactory, due to lower segments images that overlap the upper segments. This paper also proposes shifting the surface of the upper part of the ground rod, in the upper layer, or taking the modulus of the mutual resistance, to overcome this difficulty. Sun, 31 May 2015 00:00:00 +0300 Performance Comparison of the Differential Evolution and Particle Swarm Optimization Algorithms in Free-Space Optical Communications Systems http://dx.doi.org/10.4316/aece.2015.02003 http://dx.doi.org/10.4316/aece.2015.02003 A., BASGUMUS, M., NAMDAR, G., YILMAZ, A., ALTUNCU, In this comparative study we evaluate the performance of Differential Evolution (DE) and Particle Swarm Optimization (PSO) algorithms in free space optical communications systems. In particular we obtain the optimal transmission distances for different relay nodes in the parallel decode-and-forward relaying schemes by optimizing the relay placements. We analyze that the cost functions are suitably minimized. Then we investigate the execution time and the stability of the DE and PSO algorithms for decode-and-forward relay-assisted free space optical links. The simulation results demonstrate that the PSO algorithm outperforms DE algorithm in terms of the minimization of the cost function. Furthermore the results indicate that we get the similar performance for the execution-time and optimization results in the DE and PSO algorithms. Sun, 31 May 2015 00:00:00 +0300 Solution Approach to Automatic Generation Control Problem Using Hybridized Gravitational Search Algorithm Optimized PID and FOPID Controllers http://dx.doi.org/10.4316/aece.2015.02004 http://dx.doi.org/10.4316/aece.2015.02004 P., DAHIYA, V., SHARMA, R., NARESH, This paper presents the application of hybrid opposition based disruption operator in gravitational search algorithm (DOGSA) to solve automatic generation control (AGC) problem of four area hydro-thermal-gas interconnected power system. The proposed DOGSA approach combines the advantages of opposition based learning which enhances the speed of convergence and disruption operator which has the ability to further explore and exploit the search space of standard gravitational search algorithm (GSA). The addition of these two concepts to GSA increases its flexibility for solving the complex optimization problems. This paper addresses the design and performance analysis of DOGSA based proportional integral derivative (PID) and fractional order proportional integral derivative (FOPID) controllers for automatic generation control problem. The proposed approaches are demonstrated by comparing the results with the standard GSA, opposition learning based GSA (OGSA) and disruption based GSA (DGSA). The sensitivity analysis is also carried out to study the robustness of DOGSA tuned controllers in order to accommodate variations in operating load conditions, tie-line synchronizing coefficient, time constants of governor and turbine. Further, the approaches are extended to a more realistic power system model by considering the physical constraints such as thermal turbine generation rate constraint, speed governor dead band and time delay. Sun, 31 May 2015 00:00:00 +0300 CudaPre3D: An Alternative Preprocessing Algorithm for Accelerating 3D Convex Hull Computation on the GPU http://dx.doi.org/10.4316/aece.2015.02005 http://dx.doi.org/10.4316/aece.2015.02005 G., MEI, N., XU, In the calculating of convex hulls for point sets, a preprocessing procedure that is to filter the input points by discarding non-extreme points is commonly used to improve the computational efficiency. We previously proposed a quite straightforward preprocessing approach for accelerating 2D convex hull computation on the GPU. In this paper, we extend that algorithm to being used in 3D cases. The basic ideas behind these two preprocessing algorithms are similar: first, several groups of extreme points are found according to the original set of input points and several rotated versions of the input set; then, a convex polyhedron is created using the found extreme points; and finally those interior points locating inside the formed convex polyhedron are discarded. Experimental results show that: when employing the proposed preprocessing algorithm, it achieves the speedups of about 4x on average and 5x to 6x in the best cases over the cases where the proposed approach is not used. In addition, more than 95 percent of the input points can be discarded in most experimental tests. Sun, 31 May 2015 00:00:00 +0300 Consistency Analysis of Ultrasound Echoes within a Dual Symmetric Path Inspection Framework http://dx.doi.org/10.4316/aece.2015.02006 http://dx.doi.org/10.4316/aece.2015.02006 C., VASILE, G., STAMATESCU, V., SGARCIU, C., IOANA, Non-destructive ultrasound inspection of metallic structures is a perpetual high-interest area of research because of its well-known benefits in industrial applications, especially from an economic point of view, where detection and localisation of defects in their most initial stages can help maintain high production capabilities for any enterprise. This paper is aimed at providing further validation regarding a new technique for detecting and localising defects in metals, the Matched Filter-based Dual Symmetric Path Inspection (MF-DSPI). This validation consists in demonstrating the consistency of the useful ultrasound echoes, within the framework of the MF-DSPI. A description of the MF-DSPI method and the related work of the authors with it are presented in this paper, along with an experimental setup used to obtain the data with which the useful echo consistency was studied. The four proposed methods are: signal envelope analysis, L2-norm criterion, correlation coefficient criterion and sliding bounding rectangle analysis. The aim of this paper is to verify the useful echo consistency (with the help of these four approaches), as the MF-DSPI method strongly relies on this feature. The results and their implications are discussed in the latter portion of this study. Sun, 31 May 2015 00:00:00 +0300 Incorporating the Avoidance Behavior to the Standard Particle Swarm Optimization 2011 http://dx.doi.org/10.4316/aece.2015.02007 http://dx.doi.org/10.4316/aece.2015.02007 O. T., ALTINOZ, A. E., YILMAZ, A., DUCA, G., CIUPRINA, Inspired from social and cognitive behaviors of animals living as swarms; particle swarm optimization (PSO) provides a simple but very powerful tool for researchers who are dealing with collective intelligence. The algorithm depends on modeling the very basic random behavior (i.e. exploration capability) of individuals in addition to their tendency to revisit positions of good memories (cognitive behavior) and tendency to keep an eye on and follow the majority of swarm members (social behavior). The balance among these three major behaviors is the key of success of the algorithm. On the other hand, there are other social and cognitive phenomena, which might be useful for improvement of the algorithm. In this paper, we particularly investigate avoidance from the bad behavior. We propose modifications about modeling the Standard PSO 2011 formulation, and we test performance of our proposals at each step via benchmark functions, and compare the results of the proposed algorithms with well-known algorithms. Our results show that incorporation of Social Avoidance behavior into SPSO11 improves the performance. It is also shown that in case the Social Avoidance behavior is applied in an adaptive manner at the very first iterations of the algorithm, there might be further improvements. Sun, 31 May 2015 00:00:00 +0300 Extending the Tracking Distance of Fiducial Markers for Large Indoor Augmented Reality Applications http://dx.doi.org/10.4316/aece.2015.02008 http://dx.doi.org/10.4316/aece.2015.02008 I., RABBI, S., ULLAH, Marker-based tracking systems provide fast, accurate and real-time tracking solution for controlled indoor augmented reality applications. Due to the short tracking distance of marker-based technique, this approach is rarely used in large indoor augmented reality applications. This paper presents the design and implementation of a new layered marker that extends the tracking distance to large environment. A step by step procedure is given to design a layered marker for any large indoor environment. The tracking method of the designed marker is presented for accurate results in a specific environment. The method of designing and tracking layered marker is demonstrated using a standard toolkit framework. The results produced while evaluating the layered marker reveal that this marker extends the tracking distance to large indoor augmented reality applications. Sun, 31 May 2015 00:00:00 +0300 Robotic Arm Control Algorithm Based on Stereo Vision Using RoboRealm Vision http://dx.doi.org/10.4316/aece.2015.02009 http://dx.doi.org/10.4316/aece.2015.02009 R., SZABO, A., GONTEAN, The goal of this paper is to present a stereo computer vision algorithm intended to control a robotic arm. Specific points on the robot joints are marked and recognized in the software. Using a dedicated set of mathematic equations, the movement of the robot is continuously computed and monitored with webcams. Positioning error is finally analyzed. Sun, 31 May 2015 00:00:00 +0300 Data Clustering on Breast Cancer Data Using Firefly Algorithm with Golden Ratio Method http://dx.doi.org/10.4316/aece.2015.02010 http://dx.doi.org/10.4316/aece.2015.02010 M., DEMIR, A., KARCI, Heuristic methods are problem solving methods. In general, they obtain near-optimal solutions, and they do not take the care of provability of this case. The heuristic methods do not guarantee to obtain the optimal results; however, they guarantee to obtain near-optimal solutions in considerable time. In this paper, an application was performed by using firefly algorithm - one of the heuristic methods. The golden ratio was applied to different steps of firefly algorithm and different parameters of firefly algorithm to develop a new algorithm - called Firefly Algorithm with Golden Ratio (FAGR). It was shown that the golden ratio made firefly algorithm be superior to the firefly algorithm without golden ratio. At this aim, the developed algorithm was applied to WBCD database (breast cancer database) to cluster data obtained from breast cancer patients. The highest obtained success rate among all executions is 96% and the highest obtained average success rate in all executions is 94.5%. Sun, 31 May 2015 00:00:00 +0300 A Current-Forced Line-Commutated Inverter for Single-Phase Grid-Connected Photovoltaic Generation Systems http://dx.doi.org/10.4316/aece.2015.02011 http://dx.doi.org/10.4316/aece.2015.02011 M., UNLU, S., CAMUR, E., BESER, B., ARIFOGLU, A simple power electronic interface based on the line-commutated inverter (LCI) has been developed in order to inject sinusoidal current to the grid for single-phase grid-connected photovoltaic (PV) energy generation systems. The proposed inverter facilitates controlling the injecting/grid current with a controllable power factor in contrast to the conventional LCI system. It is achieved that the total harmonic distortion (THD) of the injecting currents for the different firing angles/power factors and reference currents is about 5% or less than 5%. Thus, the grid-connected standards for injecting current are satisfied without filter equipment unlike the conventional LCI system. The proposed system has been built in MATLAB/Simulink and examined experimentally on PV array of 160 W. The simulation and experimental results are better performance than the conventional line-commutated inverter methods reported in the literature. The proposed LCI has a simple and robust structure, and it can be easily synchronized with grid thanks to self-latching property of SCRs. Therefore, it is a good alternative for the power transferring from PV panels to the utility grid in grid-connected PV systems. Sun, 31 May 2015 00:00:00 +0300 Towards Real-Life Facial Expression Recognition Systems http://dx.doi.org/10.4316/aece.2015.02012 http://dx.doi.org/10.4316/aece.2015.02012 K.-I., BENTA, M.-F., VAIDA, Facial expressions are a set of symbols of great importance for human-to-human communication. Spontaneous in their nature, diverse and personal, facial expressions demand for real-time, complex, robust and adaptable facial expression recognition (FER) systems to facilitate the human-computer interaction. The last years' research efforts in the recognition of facial expressions are preparing FER systems to step into the real-life. In order to meet the before-mentioned requirements, this article surveys the work in FER since 2008, particularly adopting the discrete states emotion model in a quest for the most valuable FER works/systems. We first present the new spontaneous facial expression databases and then organize the real-time FER solutions grouped by spontaneous and posed facial expression databases. Then automatic FERs are compared and the cross-database validation method is presented. Finally, we outline FER system open issues to meet real-life challenges. Sun, 31 May 2015 00:00:00 +0300 Optimizing the Forward Algorithm for Hidden Markov Model on IBM Roadrunner clusters http://dx.doi.org/10.4316/aece.2015.02013 http://dx.doi.org/10.4316/aece.2015.02013 S.-I., SOIMAN, I., RUSU, S.-G., PENTIUC, In this paper we present a parallel solution of the Forward Algorithm for Hidden Markov Models. The Forward algorithm compute a probability of a hidden state from Markov model at a certain time, this process being recursively. The whole process requires large computational resources for those models with a large number of states and long observation sequences. Our solution in order to reduce the computational time is a multilevel parallelization of Forward algorithm. Two types of cores were used in our implementation, for each level of parallelization, cores that are graved on the same chip of PowerXCell8i processor. This hybrid architecture of processors permitted us to obtain a speedup factor over 40 relative to the sequential algorithm for a model with 24 states and 25 millions of observable symbols. Experimental results showed that the parallel Forward algorithm can evaluate the probability of an observation sequence on a hidden Markov model 40 times faster than the classic one does. Based on the performance obtained, we demonstrate the applicability of this parallel implementation of Forward algorithm in complex problems such as large vocabulary speech recognition. Sun, 31 May 2015 00:00:00 +0300 Design and Implementation of PV based Energy Harvester for WSN Node with MAIC algorithm http://dx.doi.org/10.4316/aece.2015.02014 http://dx.doi.org/10.4316/aece.2015.02014 H., RAJENDRAN, R., RAMABADRAN, R., SANKARARAJAN, Wireless sensor networks (WSNs) are hardly in need of an additional source of power other than the normally used batteries, to increase the lifetime considerably. In this paper, mathematical modeling of photovoltaic energy harvesting (PVEH) system for the WSN is presented. The system comprises of the solar PV panel, boost converter as maximum power point tracker with moving averaged incremental conductance (MAIC) maximum power point (MPP) algorithm, Ni-MH battery for energy storage, compensator, buck regulator and the mathematically modeled WSN mote. MAIC algorithm is proposed to avoid the effect of drastic variations in input irradiance, in locking the MPP point. WSN mote is modeled in both active and sleep state based on the power consumption. To maintain the voltage stability, proper compensator has been designed for the proposed system. The performance of the system is tested for dynamic variations of environmental conditions using MATLAB simulation. The proposed system has 50 to 60 percent improved conversion efficiency when compared to the conventional direct coupling method. The parameters of the photovoltaic panel model have been validated through experimentation. Also the practical verification of the operation of MPPT circuit has been performed. Sun, 31 May 2015 00:00:00 +0300 Optimal Control of Distributed Parameter Systems with Application to Transient Thermoelectric Cooling http://dx.doi.org/10.4316/aece.2015.02015 http://dx.doi.org/10.4316/aece.2015.02015 M., KOTSUR, We give a solution of optimal control problem for distributed parameter systems described by nonlinear partial differential equations with nonstandard boundary conditions. The variational method is used to obtain the general form of the necessary conditions of optimality. A suitable algorithm based on the numerical method of successive approximations has been constructed for computing the optimal control functions. The results are applied for optimization of transient thermoelectric cooling process. Optimal dependences of current on time have been calculated for thermoelectric cooler power supply with the purpose of minimizing the cooling temperature within a preset time interval. Sun, 31 May 2015 00:00:00 +0300 Modification of The Field-Weakening Control Strategy for Linear Induction Motor Drives Considering The End Effect http://dx.doi.org/10.4316/aece.2015.03001 http://dx.doi.org/10.4316/aece.2015.03001 P., HAMEDANI, A., SHOULAIE, Accurate vector control of a linear induction motor (LIM) drive is a complicated subject because of the end effect phenomenon especially in the field-weakening region. This paper concentrates on a novel field-weakening speed control strategy for LIM drive in which the end effect is taken into account. Considering the end effect, new voltage and current limits have been calculated using the Duncan's model. Accordingly, control strategies such as constant force region, partial field-weakening region, and full field-weakening region have been analytically calculated for the first time in this work. In order to improve the control characteristics of the LIM drive, Fuzzy Logic Controller (FLC) has been also implemented. Simulation results manifest the satisfactory resultants of the proposed FLC based LIM in the field-weakening region including fast response, no overshoot, negligible steady-state error, and adaptability to load changes. In addition, a new constant force pattern is introduced in this paper by which the reductions of the LIM thrust due to the end effect will be compensated and thus, the current and voltage amplitudes in steady state will remarkably decrease. Mon, 31 Aug 2015 00:00:00 +0300 Instruction-level Real-time Secure Processor Using an Error Correction Code http://dx.doi.org/10.4316/aece.2015.03002 http://dx.doi.org/10.4316/aece.2015.03002 S. M., YOON, S. W., LEE, J. K., PARK, J. T., KIM, In this paper, we present a processor that detects security-attacks at the instruction level by checking the integrity of instructions in real time. To confirm the integrity of the instructions, we generate a parity chain of instructions and check them at run time. The parity chain is generated using an error correction code used in a digital communication system, and the integrity checker has the same function as the error-detector module of the error correction code. This architecture can readily be applied to a general processor, because the checker is located between the processor core and the instruction memory. Compared with other cipher modules with the same key space, our instruction integrity checker achieves a faster check speed and occupies a smaller area. Mon, 31 Aug 2015 00:00:00 +0300 Fault Detection and Localization in Transmission Lines with a Static Synchronous Series Compensator http://dx.doi.org/10.4316/aece.2015.03003 http://dx.doi.org/10.4316/aece.2015.03003 E., REYES-ARCHUNDIA, J. L., GUARDADO, E. L., MORENO-GOYTIA, J. A., GUTIERREZ-GNECCHI, F., MARTINEZ-CARDENAS, This paper proposes a fault detection and localization method for power transmission lines with a Static Synchronous Series Compensator (SSSC). The algorithm is based on applying a modal transformation to the current and voltage signals sampled at high frequencies. Then, the wavelet transform is used for calculating the current and voltage traveling waves, avoiding low frequency interference generated by the system and the SSSC. Finally, by using reflectometry principles, straightforward expressions for fault detection and localization in the transmission line are derived. The algorithm performance was tested considering several study cases, where some relevant parameters such as voltage compensation level, fault resistance and fault inception angle are varied. The results indicate that the algorithm can be successfully be used for fault detection and localization in transmission lines compensated with a SSSC. The estimated error in calculating the distance to the fault is smaller than 1% of the transmission line length. The test system is simulated in PSCAD platform and the algorithm is implemented in MATLAB software. Mon, 31 Aug 2015 00:00:00 +0300 Analysis of Real Overvoltage Disturbances by Using Nonstationary Signal Processing Techniques http://dx.doi.org/10.4316/aece.2015.03004 http://dx.doi.org/10.4316/aece.2015.03004 S., VUJOSEVIC, S., MUJOVIC, M., DAKOVIC, Switching surges can cause voltage conditions degradation, and this paper presents a new approach in their analysis. Besides the amplitude properties, regarding to power quality, it is important to know the structure of their harmonic spectrum. For that purpose, characteristic surges (energization and deenergization of an unloaded 35 kV underground cable, energization of an unloaded 10 kV underground cable and deenergization of a 10 kV overhead line, with a multiple appearance of the arc between the circuit breaker contacts) were analyzed. The signals were obtained by an experiment, so the occurrence of noise makes them much more complex to analyze than the simulated ones. Their harmonic decomposition was performed by digital signal processing methods - Empirical Mode Decomposition and Short Time Fourier Transform. The obtained results were compared to the calculated ones, which allowed us to draw conclusions related to applied methods efficiency and characteristic harmonics values that occur during the switching surges. The performed analysis allows us to get a deeper insight into transient processes in the real transmission power lines. The obtained results can be especially useful to detect the locations of occurrence of various types of surges and for development of real-time power quality monitoring systems. Mon, 31 Aug 2015 00:00:00 +0300 Application of Machine Learning Algorithms for the Query Performance Prediction http://dx.doi.org/10.4316/aece.2015.03005 http://dx.doi.org/10.4316/aece.2015.03005 M., MILICEVIC, M., BARANOVIC, K., ZUBRINIC, This paper analyzes the relationship between the system load/throughput and the query response time in a real Online transaction processing (OLTP) system environment. Although OLTP systems are characterized by short transactions, which normally entail high availability and consistent short response times, the need for operational reporting may jeopardize these objectives. We suggest a new approach to performance prediction for concurrent database workloads, based on the system state vector which consists of 36 attributes. There is no bias to the importance of certain attributes, but the machine learning methods are used to determine which attributes better describe the behavior of the particular database server and how to model that system. During the learning phase, the system's profile is created using multiple reference queries, which are selected to represent frequent business processes. The possibility of the accurate response time prediction may be a foundation for automated decision-making for database (DB) query scheduling. Possible applications of the proposed method include adaptive resource allocation, quality of service (QoS) management or real-time dynamic query scheduling (e.g. estimation of the optimal moment for a complex query execution). Mon, 31 Aug 2015 00:00:00 +0300 Automatic Assistant for Better Mobility and Improved Cognition of Partially Sighted Persons http://dx.doi.org/10.4316/aece.2015.03006 http://dx.doi.org/10.4316/aece.2015.03006 R., TAPU, B., MOCANU, T., ZAHARIA, In these paper we introduce a novel computer vision assistant for autonomous navigation of partially sighted people. We begin by detecting any type of static and dynamic obstacle present in the scene. Then, we introduce an adapted version of HOG (Histogram of Oriented Gradients) descriptor incorporated into the BoVW (Bag of Visual Words) retrieval framework and demonstrate how this combination can be used for obstacle classification. The design is completed with an acoustic feedback that alert user of potential hazards. The audio bone conduction is employed to allow the visually impaired to hear other sounds from the environment. At the hardware level, the system is totally integrated on a smartphone which makes it easy to wear, non-invasive and low-cost. Mon, 31 Aug 2015 00:00:00 +0300 Analysis of a Permanent Magnet Eddy Current Heater Driven by a Wind Turbine http://dx.doi.org/10.4316/aece.2015.03007 http://dx.doi.org/10.4316/aece.2015.03007 T., TUDORACHE, L., MELCESCU, M., PREDESCU, This paper deals with the numerical analysis and optimal design of a Permanent Magnet Eddy Current Heater (PMECH) driven by a wind turbine. This study includes a preliminary sizing of the wind turbine, an optimal design of the PMECH from cost reduction point of view, a heat transfer analysis of the device and a study of the dynamic response of the wind system. The electromagnetic and heat transfer analysis is based on Finite Element Method (FEM) implemented in the Flux software package and the dynamic response of the wind system is analyzed using a dedicated model developed under Matlab/Simulink environment. Mon, 31 Aug 2015 00:00:00 +0300 A Buck-Boost Converter Modified to Utilize 600V GaN Power Devices in a PV Application Requiring 1200V Devices http://dx.doi.org/10.4316/aece.2015.03008 http://dx.doi.org/10.4316/aece.2015.03008 S., SRDIC, Z., DESPOTOVIC, This paper presents a buck-boost converter which is modified to utilize new 600 V gallium nitride (GaN) power semiconductor devices in an application requiring 1200 V devices. The presented buck-boost converter is used as a part of a dc/dc stage in an all-GaN photovoltaic (PV) inverter and it provides a negative voltage for the 3-level neutral-point-clamped (NPC) PWM inverter which is connected to the utility grid. Since in this application the transistor and the diode of the buck-boost converter need to block the sum of the PV string voltage (which is normally in the range from 150 to 350 V) and the dc bus voltage (which is in the order of 400 V), the 1200 V devices or series connection of 600 V devices need to be employed. Currently, 1200 V GaN power semiconductor devices are not commercially available. Therefore, the standard buck-boost converter is modified to enable the use of 600 V GaN devices in this particular application. Based on the proposed converter topology, a PSpice simulation model and a 600 W converter prototype were developed. Both simulation and experimental results show successful operation of the converter. Mon, 31 Aug 2015 00:00:00 +0300 Verification of Transformer Restricted Earth Fault Protection by using the Monte Carlo Method http://dx.doi.org/10.4316/aece.2015.03009 http://dx.doi.org/10.4316/aece.2015.03009 J. P., KRSTIVOJEVIC, M. B., DJURIC, The results of a comprehensive investigation of the influence of current transformer (CT) saturation on restricted earth fault (REF) protection during power transformer magnetization inrush are presented. Since the inrush current during switch-on of unloaded power transformer is stochastic, its values are obtained by: (i) laboratory measurements and (ii) calculations based on the input data obtained by the Monte Carlo (MC) simulation. To make a detailed assessment of the current transformer performance the uncertain input data for the CT model were obtained by applying the MC method. In this way, different levels of remanent flux in CT core are taken into consideration. By the generated CT secondary currents, the algorithm for REF protection based on phase comparison in time domain is tested. On the basis of the obtained results, a method of adjustment of the triggering threshold in order to ensure safe operation during transients, and thereby improve the algorithm security, has been proposed. The obtained results indicate that power transformer REF protection would be enhanced by using the proposed adjustment of triggering threshold in the algorithm which is based on phase comparison in time domain. Mon, 31 Aug 2015 00:00:00 +0300 Formal Specification and Verification of Real-Time Multi-Agent Systems using Timed-Arc Petri Nets http://dx.doi.org/10.4316/aece.2015.03010 http://dx.doi.org/10.4316/aece.2015.03010 A., QASIM, S. A. R., KAZMI, I., FAKHIR, In this study we have formally specified and verified the actions of communicating real-time software agents (RTAgents). Software agents are expected to work autonomously and deal with unfamiliar situations astutely. Achieving cent percent test cases coverage for these agents has always been a problem due to limited resources. Also a high degree of dependability and predictability is expected from real-time software agents. In this research we have used Timed-Arc Petri Net's for formal specification and verification. Formal specification of e-agents has been done in the past using Linear Temporal Logic (LTL) but we believe that Timed-Arc Petri Net's being more visually expressive provides a richer framework for such formalism. A case study of Stock Market System (SMS) based on Real Time Multi Agent System framework (RTMAS) using Timed-Arc Petri Net's is taken to illustrate the proposed modeling approach. The model was verified used AF, AG, EG, and EF fragments of Timed Computational Tree Logic (TCTL) via translations to timed automata. Mon, 31 Aug 2015 00:00:00 +0300 An Analysis of a Hard Real-Time Execution Environment Extension for FreeRTOS http://dx.doi.org/10.4316/aece.2015.03011 http://dx.doi.org/10.4316/aece.2015.03011 C., STANGACIU, M., MICEA, V., CRETU, FreeRTOS is a popular real-time operating system, which has been under a significant attention in the last years due to its main advantages: it is open source, portable, well documented and implemented on more than 30 architectures. FreeRTOS execution environment is dynamic, preemptive and priority based, but it is not suitable for hard real-time tasks, because it provides task execution determinism only to a certain degree and cannot guarantee the absence of task execution jitter. As a solution to this problem, we propose a hard real time execution extension to FreeRTOS in order to support a particular model of HRT tasks, called ModXs, which are executed with no jitter. This article presents a detailed analysis, in terms of scheduling, task execution and memory usage of this hard real time execution environment extension. The article is concluding with the advantages this extension brings to the system compared to the small memory and timing overhead introduced. Mon, 31 Aug 2015 00:00:00 +0300 Analyzing a Vibrating Wire Transducer using Coupled Resonator Circuits http://dx.doi.org/10.4316/aece.2015.03012 http://dx.doi.org/10.4316/aece.2015.03012 S., POP, D., PITICA, V., BANDE, This paper intends to be an approach on the vibrating wire transducer from the perspective of the necessary rules used for a correct measurement procedure. There are several studies which analyze the vibrating wire transducer as a mechanical system. However, a comparative time-domain analysis between the mechanical and the electrical model is lacking. The transducer analysis is based on a theoretical analysis of the equivalent circuit, on both excitation and response time intervals. The electrical model consists of two magnetic coupled resonating circuits. When connected to an excitation source, there will be an energy transfer from the coil to the wire. The maximum energy transfer will occur at the vibrating wire's frequency of resonance. Using the transient regime analysis, it has been proven that, in the response time interval - when the wire vibrates freely, the current through the circuit that models the wire describes the oscillating movement of the wire. A complex signal is obtained, that contains both coil's and wire's frequencies of resonance, strongly dependent with theirs parasitic elements. The mathematical analysis highlights the similarity between mechanical and electrical model and the procedures in order to determine the wire frequency of resonance from the output signal. Mon, 31 Aug 2015 00:00:00 +0300 Experimental Method of Determining the Equivalent Circuit Parameters of a Switched Reluctance Machine http://dx.doi.org/10.4316/aece.2015.03013 http://dx.doi.org/10.4316/aece.2015.03013 D., VUKADINOVIC, S., GRBIN, M., BASIC, This paper presents an equivalent-circuit-based method to experimentally determine the phase inductance and the iron-loss resistance of a switched reluctance machine (SRM). The proposed equivalent circuit of the SRM phase consists of the winding resistance, the winding inductance and the iron-loss resistance. In this paper, the iron-loss resistance is represented as variable with respect to the phase current, the dc supply voltage and the rotor position. The phase inductance is represented as variable with respect to the phase current and the rotor position. The phase winding resistance is represented by a constant parameter. The proposed method allows estimation of the rotary SRM's iron losses for single-pulse operating regimes. Mon, 31 Aug 2015 00:00:00 +0300 Hysteresis Current Control of the Single-Phase Voltage Source Inverter Using eMEGAsim Real-Time Simulator http://dx.doi.org/10.4316/aece.2015.03014 http://dx.doi.org/10.4316/aece.2015.03014 A., BOTEZAN, R., TIRNOVAN, R., MUNTEANU, A., GRAUR, D., RAFIROIU, The paper presents the hysteresis current control of the voltage source inverter. The eMEGAsim real-time simulator is developed by OPAL-RT. Real-time simulation is used in many cases because it allows the behavior of the industrial processes operation to be determined. Two research directions are developed in this case, Rapid Control Prototyping and Hardware-In-the-Loop. Using eMEGAsim simulator allows implementing the command and control strategy of a single-phase voltage source inverter. At this stage, the real-time behavior of operation is monitored, because the voltage source inverter will be the part of a single-phase shunt active filter. In order to command and control the voltage source inverter, the current and voltage signals are acquired, since these signals are necessary to estimate reference signal. Extension of the Instantaneous Reactive Power Theorem is used because this theorem is suitable for single-phase active filter control. To test the real-time command and control strategy implemented, it was used a low power single-phase voltage source inverter (full bridge). Mon, 31 Aug 2015 00:00:00 +0300 An Ontology Based Methodology for Satellite Data Semantic Interoperability http://dx.doi.org/10.4316/aece.2015.03015 http://dx.doi.org/10.4316/aece.2015.03015 S., ABBURU, N., DUBE, R. N., MIYAR, S. B., GOLLA, Satellites and ocean based observing system consists of various sensors and configurations. These observing systems transmit data in heterogeneous file formats and heterogeneous vocabulary from various data centers. These data centers maintain a centralized data management system that disseminates the observations to various research communities. Currently, different data naming conventions are being used by existing observing systems, thus leading to semantic heterogeneity. In this work, sensor data interoperability and semantics of the data are being addressed through ontologies. The present work provides an effective technical solution to address semantic heterogeneity through semantic technologies. These technologies provide interoperability, capability to build knowledge base, and framework for semantic information retrieval by developing an effective concept vocabulary through domain ontologies. The paper aims at a new methodology to interlink the multidisciplinary and heterogeneous sensor data products. A four phase methodology has been implemented to address satellite data semantic interoperability. The paper concludes with the evaluation of the methodology by linking and interfacing multiple ontologies to arrive at ontology vocabulary for sensor observations. Data from Indian Meteorological satellite INSAT-3D satellite have been used as a typical example to illustrate the concepts. This work on similar lines can also be extended to other sensor observations. Mon, 31 Aug 2015 00:00:00 +0300 Single-phase Multilevel Current Source Inverter with Reduced Device Count and Current Balancing Capability http://dx.doi.org/10.4316/aece.2015.03016 http://dx.doi.org/10.4316/aece.2015.03016 A., MOALLEMI KHIAVI, M., FARHADI KANGARLU, Z., DAIE KOOZEHKANANI, J., SOBHI, S. H., HOSSEINI, Nowadays power converters play an important role in power system and industrial centers. One of the most important and widely used types of conversion is DC to AC conversion that is also called inverters. Generally inverters are divided to voltage source inverter (VSI) and current source inverter (CSI). From another view the inverters are divided to two-level and multilevel types. The multilevel inverters are attractive because of their good output waveform quality. However, there has been less attention to multilevel current source inverter (MLCSI) when compared with multilevel VSI. In this paper, a new topology for MLCSI is proposed. The proposed topology employs reduced number of switches to generate desired multilevel output current. The proposed MLCSI is capable of balancing the currents of the inductors that are used in the MLCSI structure. A multicarrier PWM based switching strategy is also proposed for the MLCSI. The simulation results using PSCAD/EMTDC as well as the experimental results from a single-phase 5-level CSI laboratory prototype demonstrate its validity. Mon, 31 Aug 2015 00:00:00 +0300 Noise and Vibration Monitoring for Premium Efficiency IE 3 Three-Phase Induction Motors http://dx.doi.org/10.4316/aece.2015.03017 http://dx.doi.org/10.4316/aece.2015.03017 C. G., NISTOR, G., SCUTARU, R., CAMPEANU, M., CERNAT, The paper presents the original SV-100 platform that enables low-cost and very high accuracy determinations of noise and vibration levels. The aim of the proposed platform is to achieve an effective integration of the two topics of this analysis: vibrations and noises. To the best of our knowledge, no low price, dedicated compact platform with embedded measuring instruments exists. For proving the practical utility of the proposed platform, two induction motors of 7.5 kW and 11 kW, respectively, in single-layer winding, at 1000 rpm, with IE3 premium efficiency were analyzed. This analysis is required because, according to IEC60034-30 standard, the IE3 efficiency standard has become mandatory for induction motors of rated power greater than 7.5 kW. Therefore, in order to improve the motor operating efficiency, the power losses caused by noises and vibrations have to be reduced. Several variants of supply were studied, i.e., by the three-phase 50 Hz network and by a three-phase inverter at 40, 50 and 60 Hz, respectively. The experimental determinations of noises are presented comparatively, by using a Bruel&Kjaer sonometer and by using the new platform SV-100. The results are compared with the IEC60034 standard. Mon, 31 Aug 2015 00:00:00 +0300 HiGIS: An Open Framework for High Performance Geographic Information System http://dx.doi.org/10.4316/aece.2015.03018 http://dx.doi.org/10.4316/aece.2015.03018 W., XIONG, L., CHEN, "Big data" era expose many challenges to geospatial data management, geocomputation and cartography. There is no exception in geographic information systems (GIS) community. Technologies and facilities of high performance computing (HPC) become more and more feasible to researchers, while mobile computing, ubiquitous computing, and cloud computing are emerging. But traditional GIS need to be improved to take advantages of all these evolutions. We proposed and implemented a GIS married with high performance computing, which is called HiGIS. The goal of HiGIS is to promote the performance of geocomputation by leveraging the power of HPC, and to build an open framework for geospatial data storing, processing, displaying and sharing. In this paper the architecture, data model and modules of the HiGIS system are introduced. A geocomputation scheduling engine based on communicating sequential process was designed to exploit spatial analysis and processing. Parallel I/O strategy using file view was proposed to improve the performance of geospatial raster data access. In order to support web-based online mapping, an interactive cartographic script was provided to represent a map. A demostration of locating house was used to manifest the characteristics of HiGIS. Parallel and concurrency performance experiments show the feasibility of this system. Mon, 31 Aug 2015 00:00:00 +0300 Extensible Software Synthesis for Embedded Ubiquitous Learning Systems http://dx.doi.org/10.4316/aece.2015.03019 http://dx.doi.org/10.4316/aece.2015.03019 Y.-H., FAN, Embedded systems are generally designed for specific purpose such as alarm systems and learning systems. These devices work in particular scenario and repeatedly perform a few particular tasks, which result in the shortage of extensible ability to execute diverse tasks. This work proposes software synthesis algorithms for generating code which can execute on embedded ubiquitous learning system. Moreover, the extensible problem is solved by extensible software synthesis (E2S) technique. The E2S comprises CEO, CEOAS, CBOAS and CTOAS procedures that are developed for synthesizing software with extensible ability. Each procedure first separately synthesizes its extensible component, so-called EC, and then applies it to construct the various tasks. Next, the E2S synthesizes various ECs to generate codes to serve complex and diverse functionalities. The synthesis codes are verified on an ARM emulation platform. Experimental results on benchmarks show the E2S achieves not only extensible ability but also the time of software synthesis which meets the requirement of specification. Mon, 31 Aug 2015 00:00:00 +0300 Evaluation of Subspace Clustering Using Internal Validity Measures http://dx.doi.org/10.4316/aece.2015.03020 http://dx.doi.org/10.4316/aece.2015.03020 M., OSZUST, M., KOSTKA, Different clustering algorithms, or even the same algorithm with different input parameters, can produce different data partitioning. Then, clustering validity measures are applied in order to determine which results have better quality than others. External measures can be used for evaluation of clustering algorithms on datasets with known data division. However, in a real scenario such information is not available, and here internal measures are often applied. Subspace clustering techniques can create clusters which utilise different subsets of the full feature space. From this reason, a calculation of internal measures using the full feature space distance metrics (e.g., Euclidean distance) is not justified. In this paper, we propose a novel approach to subspace clustering evaluation with internal quality measures, i.e., we apply distance metrics that are able to handle missing attribute values or are used in dimensionality reduction techniques. Our approach is verified on eight publicly available, widely-used datasets. Obtained results are promising and allow recommending proposed distance metrics to be suitable for calculation of examined internal validation measures. Mon, 31 Aug 2015 00:00:00 +0300 Genetic Synthesis of New Reversible/Quantum Ternary Comparator http://dx.doi.org/10.4316/aece.2015.03021 http://dx.doi.org/10.4316/aece.2015.03021 V., DEIBUK, A., BILOSHYTSKYI, Methods of quantum/reversible logic synthesis are based on the use of the binary nature of quantum computing. However, multiple-valued logic is a promising choice for future quantum computer technology due to a number of advantages over binary circuits. In this paper we have developed a synthesis of ternary reversible circuits based on Muthukrishnan-Stroud gates using a genetic algorithm. The method of coding chromosome is presented, and well-grounded choice of algorithm parameters allowed obtaining better circuit schemes of one- and n-qutrit ternary comparators compared with other methods. These parameters are quantum cost of received reversible devices, delay time and number of constant input (ancilla) lines. Proposed implementation of the genetic algorithm has led to reducing of the device delay time and the number of ancilla qutrits to 1 and 2n-1 for one- and n-qutrits full comparators, respectively. For designing of n-qutrit comparator we have introduced a complementary device which compares output functions of 1-qutrit comparators. Mon, 31 Aug 2015 00:00:00 +0300 Characteristics of Overvoltage Protection with Cascade Application of Surge Protective Devices in Low-Voltage AC Power Circuits http://dx.doi.org/10.4316/aece.2015.03022 http://dx.doi.org/10.4316/aece.2015.03022 V., RADULOVIC, S., MUJOVIC, Z., MILJANIC, Surge Protective Devices (SPDs) are widely used for protection of the equipment in low-voltage AC power circuits against wide variety of surges. Cascade application of SPDs starting at the service entrance of a building and downstream toward near sensitive equipment is intended to ensure optimal energy distribution among installed SPDs, as well as proper equipment protection against surges. Characteristics of overvoltage protection with two-stage application of SPDs have been analyzed in the paper through performed measurements, followed by simulations and numerical modeling using the ATP/EMTP and MATLAB Simulink. Parametric analysis of the protection's characteristics in wide range of influencing factors has been performed in order to define a set of applicable solutions for proper selection and performance of SPDs. Mon, 31 Aug 2015 00:00:00 +0300 Classification of Parameters Extracted from Cardiotocographic Signals for Early Detection of Metabolic Acidemia in Newborns http://dx.doi.org/10.4316/aece.2015.03023 http://dx.doi.org/10.4316/aece.2015.03023 C., ROTARIU, H., COSTIN, A., PASARICA, D., NEMESCU, Fetal acidosis is reflected by the values of umbilical cord pH and base deficit (BDecf): normal recordings (pH over 7.2 and BDecf under 8 mmol/l) and abnormal recordings (pH under 7.2 and BDecf over 8 mmol/l). The purpose of this paper is to present the implementation of an automated system for detecting fetal acidosis in cardiotocographic recordings. The method uses spectral analysis of medium (0.07-0.13 Hz) and high (0.13-1 Hz) frequency spectrum. We implement the algorithm for segments of the recordings without signal loss for better classification. We determined the normalized medium and high frequency components and mid to high frequency ratio. The recordings in the database are divided into a control group (100 normal recordings) and a test group (431 normal or abnormal recordings). A t-test with the p value under 0.05 between the two groups is used to classify the test group. The classification is improved by including the presence of late and prolonged decelerations in the classification process, obtaining the final results, which are comparable to the best ones in current literature. Mon, 31 Aug 2015 00:00:00 +0300 Expediting P2P Video Delivery through a Hybrid Push-Pull Protocol http://dx.doi.org/10.4316/aece.2015.04001 http://dx.doi.org/10.4316/aece.2015.04001 C., LEE, S., KIM, E., KIM, Despite the recent phenomenal success of peer-to-peer video streaming services, their stumbling performance for high-quality videos remains a major obstacle to wider acceptance. This is because high-resolution videos instantly delivered over the Internet are increasingly becoming the norm. This paper presents a novel solution to keep up with ever more challenging QoE expectations. Our proposal of a hybrid push-pull protocol consists of two key components, namely, a new push strategy and an elastic window scheme. The former empowers the hybrid protocol to make an informed push-pull decision based on chunk status and network condition, whereas the latter ensures balance between the two conflicting goals of chunk dissemination and playback deadline. The efficacy of the proposed protocol is validated through a performance study that demonstrates substantial gains compared to existing approaches. Mon, 30 Nov 2015 00:00:00 +0200 Hardware Accelerators for Data Sort in All Programmable Systems-on-Chip http://dx.doi.org/10.4316/aece.2015.04002 http://dx.doi.org/10.4316/aece.2015.04002 V., SKLYAROV, I., SKLIAROVA, The paper analyzes and evaluates architectures of the most efficient hardware accelerators for data sort in FPGA and all programmable systems-on-chip (such as devices from the Xilinx Zynq-7000 family). The following novel methods are proposed and discussed: 1) data sorting in hardware that is executed concurrently with getting inputs through single or multiple ports; 2) a technique allowing rational compromise between the cost and the latency of the circuit to be achieved. Both methods are targeted to hardware/software co-design and permit the best solution to be found for different requirements within pre-defined constraints. The results of experiments, implementations, and rigorous comparisons demonstrate high efficiency and broad applicability of the proposed methods for wide range of practical applications. Mon, 30 Nov 2015 00:00:00 +0200 Automatic Mining of Numerical Classification Rules with Parliamentary Optimization Algorithm http://dx.doi.org/10.4316/aece.2015.04003 http://dx.doi.org/10.4316/aece.2015.04003 S., KIZILOLUK, B., ALATAS, In recent years, classification rules mining has been one of the most important data mining tasks. In this study, one of the newest social-based metaheuristic methods, Parliamentary Optimization Algorithm (POA), is firstly used for automatically mining of comprehensible and accurate classification rules within datasets which have numerical attributes. Four different numerical datasets have been selected from UCI data warehouse and classification rules of high quality have been obtained. Furthermore, the results obtained from designed POA have been compared with the results obtained from four different popular classification rules mining algorithms used in WEKA. Although POA is very new and no applications in complex data mining problems have been performed, the results seem promising. The used objective function is very flexible and many different objectives can easily be added to. The intervals of the numerical attributes in the rules have been automatically found without any a priori process, as done in other classification rules mining algorithms, which causes the modification of datasets. Mon, 30 Nov 2015 00:00:00 +0200 Automatic Speaker Recognition Dependency on Both the Shape of Auditory Critical Bands and Speaker Discriminative MFCCs http://dx.doi.org/10.4316/aece.2015.04004 http://dx.doi.org/10.4316/aece.2015.04004 I., JOKIC, V., DELIC, S., JOKIC, Z., PERIC, Accuracy of an automatic speaker recognition system predominantly depends on speaker models and features that are used. An influence of the shape of auditory critical bands and a contribution of individual components of MFCC-based feature vectors are investigated in the paper and some experimental results are presented and showed their impact on the accuracy of automatic speaker recognition. The speaker-discrimination capability of the MFCCs was experimentally determined by comparing training and test models for the same speaker. The experiments are conducted with three speech databases and showed that 0th and 19th (the last one) MFCCs are non speaker discriminative. The values of MFCCs are determined by the type of applied auditory critical band. The exponential auditory critical bands based on the lower part of exponential function have outperformed the speaker recognition accuracy of other auditory critical bands such as rectangular or triangular shape. Mon, 30 Nov 2015 00:00:00 +0200 Synchrophasor-Based Online Coherency Identification in Voltage Stability Assessment http://dx.doi.org/10.4316/aece.2015.04005 http://dx.doi.org/10.4316/aece.2015.04005 A. C., ADEWOLE, R., TZONEVA, This paper presents and investigates a new measurement-based approach in the identification of coherent groups in load buses and synchronous generators for voltage stability assessment application in large interconnected power systems. A hybrid Calinski-Harabasz criterion and k-means clustering algorithm is developed for the determination of the cluster groups in the system. The proposed method is successfully validated by using the New England 39-bus test system. Also, the performance of the voltage stability assessment algorithm using wide area synchrophasor measurements from the key synchronous generator in each respective cluster was tested online for the prediction of the system's margin to voltage collapse using a testbed comprising of a Programmable Logic Controller (PLC) in a hardware-in-the-loop configuration with the Real-Time Digital Simulator (RTDS) and Phasor Measurement Units (PMUs). Mon, 30 Nov 2015 00:00:00 +0200 A Fisher Kernel Approach for Multiple Instance Based Object Retrieval in Video Surveillance http://dx.doi.org/10.4316/aece.2015.04006 http://dx.doi.org/10.4316/aece.2015.04006 I., MIRONICA, C. A., MITREA, B., IONESCU, P., LAMBERT, This paper presents an automated surveillance system that exploits the Fisher Kernel representation in the context of multiple-instance object retrieval task. The proposed algorithm has the main purpose of tracking a list of persons in several video sources, using only few training examples. In the first step, the Fisher Kernel representation describes a set of features as the derivative with respect to the log-likelihood of the generative probability distribution that models the feature distribution. Then, we learn the generative probability distribution over all features extracted from a reduced set of relevant frames. The proposed approach shows significant improvements and we demonstrate that Fisher kernels are well suited for this task. We demonstrate the generality of our approach in terms of features by conducting an extensive evaluation with a broad range of keypoints features. Also, we evaluate our method on two standard video surveillance datasets attaining superior results comparing to state-of-the-art object recognition algorithms. Mon, 30 Nov 2015 00:00:00 +0200 Improving the Energy Management of a Solar Electric Vehicle http://dx.doi.org/10.4316/aece.2015.04007 http://dx.doi.org/10.4316/aece.2015.04007 M. T., GUNESER, E., ERDIL, M., CERNAT, T., OZTURK, A solar electric vehicle (SEV) is an electric vehicle (EV) with onboard photovoltaic cells charging a set of batteries for extended driving range. This study aimed to improve the energy management system of a SEV, called YILDIZ, using a fuzzy logic control system (FLC). A MATLAB based simulation model of three basic components of a solar car: solar cell modules, batteries and motor drive system was performed. An original FLC was developed. For proving its applicability, the performances of the SEV were tested by simulation, in accordance with the standard test drive cycle ECE-15. The characteristics obtained with the original Proportional Integral Fuzzy Logic Control (PI-FLC) were compared with those obtained with a classical Proportional Integral (PI) controller. Using the designed model, we calculated the range of YILDIZ with and without PV feeding which gave us an opportunity to study and compare both SEV and EV models on real race-track situation. Then the optimum speed, at any time, which enabled the vehicle to reach a chosen destination as quickly as possible, while fully using the available energy, was calculated. Proposed solutions tested on YILDIZ. Results of simulations were compared with YILDIZ run on the Formula-G race track in Izmit, Turkey. Mon, 30 Nov 2015 00:00:00 +0200 Output Choice of a Chaotic Jerk Circuit Used as Transmitter in Data Secure Communications http://dx.doi.org/10.4316/aece.2015.04008 http://dx.doi.org/10.4316/aece.2015.04008 O., DATCU, M., STANCIU, R., TAULEIGNE, C., BURILEANU, J.-P., BARBOT, Usually, when analyzing a data series, dynamical systems theory is used to reconstruct the state space of the original system. This work aims to determine which of a chaotic system's states is best suited as output when transmitting secret messages. This is the first step prior to designing an actual communication scheme. As an example, the three states of Sprott's jerk circuit are analyzed in terms of the local observability they ensure for the original dynamics when transmitted as a scalar data series. Results show that its first two states enable accurate estimation of the transmitter's dynamics at the receiving end. However, its third state generates, in some regions of the state space, a non-invertible transformation between the original state space and the one the receiver sees. This is due to the exponential nonlinearities present in this state's derivatives. Given that these nonlinearities remain inaccessible to the receiver, they are neglected in order to allow the partial reconstruction of the dynamics of the transmitter. But, since these nonlinearities are essential for the chaotic behavior, this makes the third state unusable for cryptographic purposes. This analysis may be applied to any bipolar junction transistor or diode based chaotic circuit. Mon, 30 Nov 2015 00:00:00 +0200 FEM Analysis of a New Electromechanical Converter with Rolling Rotor and Axial Air-Gap http://dx.doi.org/10.4316/aece.2015.04009 http://dx.doi.org/10.4316/aece.2015.04009 C., UNGUREANU, A., GRAUR, The paper presents the modeling of a new type of electromechanical converter with rolling rotor (ECRR) in order to obtain an optimisation at functional level. The ECRR prototype comprises a stator composed of twelve magnetic poles and a disk-shaped rolling rotor made of ferromagnetic material, without windings. Each magnetic pole is made of an E-shaped magnetic system and a winding placed on its central column. The electromechanical converter with rolling rotor is analyzed through a magnetic field study with Flux2D software in magnetostatic application. The field study examines the influence of the rotor thickness, axial air-gap size and current density on the magnetic attraction force that changes the position of the disk-shaped rolling rotor. Also, it is analyzed the variation of the magnetic attraction force for different inclination angles of the rolling rotor. The main advantage of the ECRR is represented by a low rotational speed without using mechanical gearboxes. The ECRR prototype can be used in photovoltaic panels tracking systems. Mon, 30 Nov 2015 00:00:00 +0200 Analysis of RLC Elements under Stochastic Conditions Using the First and the Second Moments http://dx.doi.org/10.4316/aece.2015.04010 http://dx.doi.org/10.4316/aece.2015.04010 J., WALCZAK, S., MAZURKIEWICZ, D., GRABOWSKI, This paper describes a method of determining the first two moments of the response for basic components of electrical circuits, i.e. resistors, inductors and capacitors. The paper goal was to obtain closed form formulae for the moments describing voltage or current stochastic processes. It has been assumed that the element parameters R (resistance), L (inductance) and C (capacitance) could be random variables, deterministic functions or stochastic processes and excitations are second order stochastic processes. Moreover, two cases of dependence between the random parameters and the excitation stochastic processes have been considered. The obtained results enable determination of exact solutions for the first two moments without application of numerical algorithms. Mon, 30 Nov 2015 00:00:00 +0200 New Boost-Type PFC MF-Vienna PWM Rectifiers with Multiplied Switching Frequency http://dx.doi.org/10.4316/aece.2015.04011 http://dx.doi.org/10.4316/aece.2015.04011 D., FLORICAU, T., TUDORACHE, L., KREINDLER, In this paper new three-level boost-type PFC PWM rectifiers with Multiplied-switching-Frequency (MF) are presented. They can work both at high and low switching frequency for single- and for three-phase unity-power-factor applications. The proposed solutions are named MF-Vienna PWM rectifiers (M=2 or 3) and are based on classical 1F-Vienna topology (M=1), the most popular PWM boost-type PFC concept with three voltage levels. By adding auxiliary active power device(s) to 1F-Vienna circuit and through proper modulation strategies, the ripple frequency present in the input and output passive components can be doubled (M=2) or tripled (M=3). This advantage leads to the reduction of boost inductor and line filter requirements. The operation principle of the 2F-Vienna cell is validated for three-phase PWM rectifier using Voltage Oriented Control (VOC) method. Mon, 30 Nov 2015 00:00:00 +0200 An Indirect Method and Equipment for Temperature Monitoring and Control http://dx.doi.org/10.4316/aece.2015.04012 http://dx.doi.org/10.4316/aece.2015.04012 R., ETZ, D., PETREUS, T., FRENTIU, T., PATARAU, C., ORIAN, A new temperature control method for a metallic filament used at high temperature values is proposed by the authors in this paper. The filament used is heated by a switch mode power supply built around a step-down converter. The method uses a microcontroller that implements the temperature control algorithm and also the power supply control loops. The temperature is controlled using a proposed new algorithm based on the output current and output voltage measurements of the power supply already available for implementing the average current mode control. In this way the resistance of the filament can be determined and controlled in a resistance feedback loop. The proposed algorithm will control the resistor value corresponding to the required temperature. The reference resistance value is computed based on the temperature-resistance characteristic of the filament each time a new temperature is introduced in dedicated computer software on a PC. The value is transmitted to the microcontroller via USB interface. The temperature control algorithm and experimentally results are presented in detail in the paper. Mon, 30 Nov 2015 00:00:00 +0200 An Electronically Tunable Transconductance Amplifier for Use in Auditory Prostheses http://dx.doi.org/10.4316/aece.2015.04013 http://dx.doi.org/10.4316/aece.2015.04013 P., FARAGO, C., FARAGO, G., OLTEAN, S., HINTEA, Low-voltage and low-power trends in analog electronics enable novel features in modern bio-medical devices, such as extensive portability, autonomy and even battery-less operation. One specific example is the cochlear implant (CI), which emulates the physiology of hearing to produce auditory sensations via neural stimulation. Besides low-voltage and low-power operation, a key feature in modern CIs is wide-range programmability of the speech processing parameters. This paper proposes an operational transconductance amplifier (OTA) for use in CIs, with wide-range electronic tuning of the transconductance value. The proposed OTA is developed around a cascade of two transconductor stages, making the transconductance dependent on the bias current ratio. A combination of linearization techniques: bulk input, parallel differential pairs and feedback, is used to achieve sufficient linear range for CI speech processing. Wide-range parameter tuning of the speech processing sections is illustrated on a variable gain amplifier, a bandpass Tow-Thomas biquad and an envelope detector. Finally, the complete CI speech processing chain is illustrated. The proposed OTA and its employment in CI analog speech processing are validated on a 350 nm CMOS process. Mon, 30 Nov 2015 00:00:00 +0200 A Service-oriented FPGA-based 3D Model Acquisition System http://dx.doi.org/10.4316/aece.2015.04014 http://dx.doi.org/10.4316/aece.2015.04014 O. M., MACHIDON, G., OLARU, This paper proposes a non-contact, low cost 3D scanning solution using laser striping. The solution is composed of two main parts: the hardware setup - used for acquiring the object's 3D surface information, and the software part - that processes the information and obtains the 3D model representation of the object. We propose two major improvements over the traditional scanning solutions: the 3D information acquisition is based on a reconfigurable hardware platform - a Xilinx Spartan 6 FPGA - which adds flexibility and scalability to the scanning process, while the 3D model reconstruction is remotely available "as a Service", by the means of a web interface that abstracts away the complexity of the underlying processes and improves the performance, while granting easy sharing between users. By separating data capture process from the 3D model reconstruction tasks the system gains in portability - a feature that is absent for most existing solutions. The service-oriented approach brings on a performance gain, since the computational intensive tasks are handled by dedicated servers and ease of use of the system, because the user does not have to bother managing and using the software tools locally. Mon, 30 Nov 2015 00:00:00 +0200 Fuzzy Ontology Reasoning for Power Transformer Fault Diagnosis http://dx.doi.org/10.4316/aece.2015.04015 http://dx.doi.org/10.4316/aece.2015.04015 F. D., SAMIRMI, W., TANG, Q., WU, This paper presents a novel fuzzy ontology reasoner for power transformer fault diagnosis under a multi-agent framework. The developed ontology provides a comprehensive knowledge base as part of a multi-agent system to enable imprecision reasoning. It is the first time that a fuzzy ontology model is developed for accurate power transformer fault diagnosis. It aims to develop an improved ontology model for transformer fault diagnosis by applying the fuzzy ontology. The proposed technique deals with the imprecision situation using the fuzzy ontology, in order to build an ontology-based knowledge representation for accurate power transformer fault diagnosis. The proposed system is tested with actual transformer online data to demonstrate the functionality of the developed fuzzy ontology, which can identify the faults that are unidentifiable using a basic ontology model, and this can significantly improve the overall accuracy for transformer fault diagnosis under a multi-agent framework. Mon, 30 Nov 2015 00:00:00 +0200 Wavelength Converters Placement in Optical Networks Using Bee Colony Optimization http://dx.doi.org/10.4316/aece.2016.01001 http://dx.doi.org/10.4316/aece.2016.01001 G. Z., MARKOVIC, Wavelength converters placement (WCP) in all-optical WDM networks belongs to the class of hard combinatorial optimization problems. So far, this problem has been solved by various heuristic strategies or by application of metaheuristic approaches such as genetic algorithms (GA), particle swarm optimization (PSO), differential evolution (DE), etc. In this paper, we introduce the application of Bee Colony Optimization (BCO) metaheuristic to solve the WCP problem in all-optical WDM networks. Numerous studies prove that BCO is a fast, robust and computationally efficient tool in tackling complex optimization problems. The objective of the proposed BCO-WCP algorithm is to find the best placement of limited number of wavelength converters in given optical network such that the overall network blocking probability is minimized. To evaluate the performances of the BCO-WCP algorithm, numerous simulation experiments have been performed over some realistic optical network examples. The blocking probability performance and computational complexity are compared with optimal solution obtained by exhaustive search (ES) approach as well as with DE and PSO metaheuristics. It will be shown that the BCO-WCP algorithm is not only be able to produce high quality (optimal) solution, but significantly outperforms the computational efficiency of other considered approaches. Sun, 28 Feb 2016 00:00:00 +0200 Information Extraction Using Distant Supervision and Semantic Similarities http://dx.doi.org/10.4316/aece.2016.01002 http://dx.doi.org/10.4316/aece.2016.01002 Y., PARK, S., KANG, J., SEO, Information extraction is one of the main research tasks in natural language processing and text mining that extracts useful information from unstructured sentences. Information extraction techniques include named entity recognition, relation extraction, and co-reference resolution. Among them, relation extraction refers to a task that extracts semantic relations between entities such as personal and geographic names in documents. This is an important research area, which is used in knowledge base construction and question and answering systems. This study presents relation extraction using a distant supervision learning technique among semi-supervised learning methods, which have been spotlighted in recent years to reduce human manual work and costs required for supervised learning. That is, this study proposes a method that can improve relation extraction by improving a distant supervision learning technique by applying a clustering method to create a learning corpus and semantic analysis for relation extraction that is difficult to identify using existing distant supervision. Through comparison experiments of various semantic similarity comparison methods, similarity calculation methods that are useful to relation extraction using distant supervision are searched, and a large number of accurate relation triples can be extracted using the proposed structural advantages and semantic similarity comparison. Sun, 28 Feb 2016 00:00:00 +0200 New String Reconfiguration Technique for Residential Photovoltaic System Generation Enhancement http://dx.doi.org/10.4316/aece.2016.01003 http://dx.doi.org/10.4316/aece.2016.01003 Z., CORBA, V., KATIC, B., POPADIC, D., MILICEVIC, Improvement of photovoltaic (PV) power plant performance under partial shading conditions aiming to increase electrical energy generation is in the focus of this research. This paper proposes the performance optimization of PV power plant under partial shading conditions by new PV string reconfiguration technique. The Matlab/Simulink model is used to simulate the operation of the PV string under partial shading conditions and with the proposed recombination technique. Simulated operational conditions have experimentally been verified by string characteristics measurement on the existing roof-top PV system at the Faculty of Technical Sciences in Novi Sad. Simulation and experimental results showed a high degree of matching, while the obtained values proved that proposed method leads to output power increase and higher PV system generation in PV string operation under partial shading. Sun, 28 Feb 2016 00:00:00 +0200 Energy Efficient Control of High Speed IPMSM Drives - A Generalized PSO Approach http://dx.doi.org/10.4316/aece.2016.01004 http://dx.doi.org/10.4316/aece.2016.01004 M., GECIC, M., KAPETINA, D., MARCETIC, In this paper, a generalized particle swarm optimization (GPSO) algorithm was applied to the problems of optimal control of high speed low cost interior permanent magnet motor (IPMSM) drives. In order to minimize the total controllable electrical losses and to increase the efficiency, the optimum current vector references are calculated offline based on GPSO for the wide speed range and for different load conditions. The voltage and current limits of the drive system and the variation of stator inductances are all included in the optimization method. The stored optimal current vector references are used during the real time control and the proposed algorithm is compared with the conventional high speed control algorithm, which is mostly voltage limit based. The computer simulations and experimental results on 1 kW low cost high speed IPMSM drive are discussed in details. Sun, 28 Feb 2016 00:00:00 +0200 MAC-Level Communication Time Modeling and Analysis for Real-Time WSNs http://dx.doi.org/10.4316/aece.2016.01005 http://dx.doi.org/10.4316/aece.2016.01005 V., STANGACIU, M., MICEA, V., CRETU, Low-level communication protocols and their timing behavior are essential to developing wireless sensor networks (WSNs) able to provide the support and operating guarantees required by many current real-time applications. Nevertheless, this aspect still remains an issue in the state-of-the-art. In this paper we provide a detailed analysis of a recently proposed MAC-level communication timing model and demonstrate its usability in designing real-time protocols. The results of a large set of measurements are also presented and discussed here, in direct relation to the main time parameters of the analyzed model. Sun, 28 Feb 2016 00:00:00 +0200 HIGH: A Hexagon-based Intelligent Grouping Approach in Wireless Sensor Networks http://dx.doi.org/10.4316/aece.2016.01006 http://dx.doi.org/10.4316/aece.2016.01006 C.-S., FAN, In a random deployment or uniform deployment strategy, sensor nodes are scattered randomly or uniformly in the sensing field, respectively. Hence, the coverage ratio cannot be guaranteed. The coverage ratio of uniform deployment, in general, is larger than that of the random deployment strategy. However, a random deployment or uniform deployment strategy may cause unbalanced traffic pattern in wireless sensor networks (WSNs). Therefore, cluster heads (CHs) around the sink have larger loads than those farther away from the sink. That is, CHs close to the sink exhaust their energy earlier. In order to overcome the above problem, we propose a Hexagon-based Intelligent Grouping approacH in WSNs (called HIGH). The coverage, energy consumption and data routing issues are well investigated and taken into consideration in the proposed HIGH scheme. The simulation results validate our theoretical analysis and show that the proposed HIGH scheme achieves a satisfactory coverage ratio, balances the energy consumption among sensor nodes, and extends network lifetime significantly. Sun, 28 Feb 2016 00:00:00 +0200 Analysis Platform for Energy Efficiency Enhancement in Hybrid and Full Electric Vehicles http://dx.doi.org/10.4316/aece.2016.01007 http://dx.doi.org/10.4316/aece.2016.01007 M.-O., NICOLAICA, D., TARNICERIU, The current paper presents a new virtual analysis method that is applied both on hybrid and electric vehicle architectures with the purpose of contributing to the improvement of energy efficiency. The study is based on Matlab modeling and simulation. A set of parameters are considered in order to assess the system performance. The benefit is given by the comparative overview obtained after the completed analysis. The effectiveness of the analysis method is confirmed by a sequence of simulation results combined in several case studies. The impulse of the research is given by the fact that the automotive market is focusing on wider simulation techniques and better control strategies that lead to more efficient vehicles. Applying the proposed method during design would improve the battery management and controls strategy. The advantage of this method is that the system behavior with regards to energy efficiency can be evaluated from an early concept phase. The results contribute to the actual necessity of driving more efficient and more environmental friendly vehicles. Sun, 28 Feb 2016 00:00:00 +0200 Investigation on Fuzzy Logic Based Centralized Control in Four-Port SEPIC/ZETA Bidirectional Converter for Photovoltaic Applications http://dx.doi.org/10.4316/aece.2016.01008 http://dx.doi.org/10.4316/aece.2016.01008 M., VENMATHI, R., RAMAPRABHA, In this paper, a new four-port DC-DC converter topology is proposed to interface renewable energy sources and the load along with the energy storage device. The proposed four-port SEPIC/ZETA bidirectional converter (FP-SEPIC/ZETA BDC) converter comprises an isolated output port with two unidirectional and one bidirectional input ports. This converter topology is obtained by the fusion of SEPIC/ZETA BDC and full-bridge converter. This converter topology ensures the non-reversal of output voltage hence it is preferred mostly for battery charging applications. In this work, photovoltaic (PV) source is considered and the power balance in the system is achieved by means of distributed maximum power point tracking (DMPPT) in the PV ports. The centralized controller is implemented using fuzzy logic controller (FLC) and the performance is compared with conventional proportional integral (PI) controller. The results offer useful information to obtain the desired output under line and load regulations. Experimental results are also provided to validate the simulation results. Sun, 28 Feb 2016 00:00:00 +0200 Power Performance Enhancement of Underlay Spectrum Sharing in Cognitive Radio Networks Using ESPAR Antenna http://dx.doi.org/10.4316/aece.2016.01009 http://dx.doi.org/10.4316/aece.2016.01009 A., ABDALRAZIK, H., SOLIMAN, M., ABDELKADER, Electronically-steerable parasitic array radiator (ESPAR) antenna is a promising antenna array configuration. It offers lower power consumption, lower cost, lower hardware complexity, and smaller size as compared to classical antenna arrays configurations. Meanwhile it is able to support important communication techniques such as beamforming and diversity. In this paper, we propose a transmitter ESPAR antenna system where symbols are transmitted over switchable beampatterns of the antenna in order to enhance the power performance of underlay spectrum sharing in cognitive radio networks compared to previously proposed transmitter systems. We study the performance of two different pattern shapes of ESPAR antenna to choose the appropriate one for underlay spectrum sharing. We show through simulation that the ESPAR antenna can offer a better power performance than a classical circular antenna array (CAA) of the same size and comparable number of elements. In addition, the ESPAR antenna can preserve its good performance with small spacing between elements, whereas the classical CAA's performance severely degrades. Sun, 28 Feb 2016 00:00:00 +0200 Highly Efficient, Zero-Skew, Integrated Clock Distribution Networks Using Salphasic Principles http://dx.doi.org/10.4316/aece.2016.01010 http://dx.doi.org/10.4316/aece.2016.01010 A., PASCA, M., CIUGUDEAN, The design of highly efficient clock distributions for integrated circuits is an active topic of research as there will never be a single solution for all systems. For high performance digital or mixed-signal circuits, achieving zero-skew clock over large areas usually comes with high costs in power requirements and design complexity. The present paper shows an overview of a recently proposed technique for ICs - on-die salphasic clock distribution, introduced by the author for CMOS processes. Initially reported in literature for rack-systems, the present paper shows that further refinements are needed for the concept to be applicable on a silicon die. Based on the formation of a standing wave (intrinsically presenting extended in-phase regions) with a voltage peak at the input (creating a no-load condition), it is shown that any IC implementation must use transmission lines loss compensation techniques to maintain the proper standing wave configuration. Furthermore, the paper shows theoretical solutions and describes practical on-die techniques for pseudo-spherical bidimensional surfaces, which, with the already reported orthogonal and pseudo-orthogonal structures, can be used to distribute with minimal power requirements a zero-skew clock signal, over large silicon areas. Sun, 28 Feb 2016 00:00:00 +0200 Subsiding OOB Emission and ICI Power Using iPOWER Pulse in OFDM Systems http://dx.doi.org/10.4316/aece.2016.01011 http://dx.doi.org/10.4316/aece.2016.01011 S., KAMAL, C. A., AZURDIA-MEZA, K., LEE, A novel family of Nyquist-I pulses called iPOWER is proposed with a new design parameter that provides an extra degree of freedom for a certain roll-off factor. The proposed pulse is examined and compared with other existing pulses in terms of out-of-band (OOB) power, intercarrier interference (ICI) power, signal-to-interference ratio (SIR) power, and bit-error-rate (BER) in orthogonal frequency division multiplexing (OFDM) systems. The BER was analyzed in the presence of carrier frequency offset (CFO), which introduces ICI in OFDM-based systems. Eye diagram tool is also used to visually analyze the performance of the proposed pulse. Simulation results show that the iPOWER pulse performs better in terms of OOB power, ICI power, SIR power, and improving BER in comparison to other existing pulses in OFDM-based systems. Sun, 28 Feb 2016 00:00:00 +0200 Aspects Regarding the Unidirectional Two-Port Circuits Implemented by Means of Electronic Gyrators http://dx.doi.org/10.4316/aece.2016.01012 http://dx.doi.org/10.4316/aece.2016.01012 G., TONT, R. A., MUNTEANU, D. G., TONT, D., IUDEAN, The paper investigates the behavior of unidirectional two-port equivalent circuit composed of an electronic gyrator with Antoniou operational amplifier and a reciprocal two-port built by a transversal resistance (RT). From the analysis of two-port equations standpoint, by correct choice of circuit conductance, the two-port can operate as an ideal or a lossy gyrator. Due to the interest in practical aspects of energy transfer from one terminal to other, an analysis of the two-port parameters for the unidirectional circuit diagram is performed. The validity of the tested circuit results obtained analytically and through numerical simulation PSpice has been verified experimentally, in two cases, with equal and different transfer conductance. Sun, 28 Feb 2016 00:00:00 +0200 Multi-Level Simulated Fault Injection for Data Dependent Reliability Analysis of RTL Circuit Descriptions http://dx.doi.org/10.4316/aece.2016.01013 http://dx.doi.org/10.4316/aece.2016.01013 S., NIMARA, A., AMARICAI, O., BONCALO, M., POPA, This paper proposes data-dependent reliability evaluation methodology for digital systems described at Register Transfer Level (RTL). It uses a hybrid hierarchical approach, combining the accuracy provided by Gate Level (GL) Simulated Fault Injection (SFI) and the low simulation overhead required by RTL fault injection. The methodology comprises the following steps: the correct simulation of the RTL system, according to a set of input vectors, hierarchical decomposition of the system into basic RTL blocks, logic synthesis of basic RTL blocks, data-dependent SFI for the GL netlists, and RTL SFI. The proposed methodology has been validated in terms of accuracy on a medium sized circuit - the parallel comparator used in Check Node Unit (CNU) of the Low-Density Parity-Check (LDPC) decoders. The methodology has been applied for the reliability analysis of a 128-bit Advanced Encryption Standard (AES) crypto-core, for which the GL simulation was prohibitive in terms of required computational resources. Sun, 28 Feb 2016 00:00:00 +0200 Variation of Tower Footing Resistance on the Lightning Surge Propagation through Overhead Power Distribution Lines http://dx.doi.org/10.4316/aece.2016.01014 http://dx.doi.org/10.4316/aece.2016.01014 E. L., MARIUT, E., HELEREA, This paper deals with the analysis of the effects of electromagnetic transients generated by lightning on power distribution lines, considering the influence of tower footing resistance variation. Both types of lightning stroke, direct and induced, are considered. The model of a 20 kV three-phase overhead power distribution line is performed considering a simple line circuit with triangle canopy and 50/8 mm2 Ol-Al conductors. The model of the power distribution line is done considering a Multistory tower model. New concepts regarding lightning assessment through Electromagnetic Transients program and Finite Element Method are implemented. The simulations are performed based on a time domain analysis, considering the lightning stroke as an electromagnetic perturbation within frequency range of 10-100 kHz. A contribution to value creation is the design of the Multistory tower model, used for electromagnetic transients analysis for medium voltage power distribution lines. Excepting previous research, current study was done by considering the variation of tower footing resistance of the tower, between 4-35 ohms. The novelty of the study is the analysis of the dependency determined by the variation of tower footing resistance on the lightning surge propagation through power distribution networks and subsequent consumers. Sun, 28 Feb 2016 00:00:00 +0200 A Comparative Parametric Analysis of the Ground Fault Current Distribution on Overhead Transmission Lines http://dx.doi.org/10.4316/aece.2016.01015 http://dx.doi.org/10.4316/aece.2016.01015 M., VINTAN, The ground fault current distribution in an effectively grounded power network is affected by various factors, such as: tower footing impedances, spans lengths, configuration and parameters of overhead ground wires and power conductors, soil resistivity etc. In this paper, we comparatively analyze, using different models, the ground fault current distribution in a single circuit transmission line with one ground wire. A parametric comparative analysis was done in order to study the effects of the non-uniformity of the towers footing impedances, number of power lines spans, soil resistivity, grounding systems resistances of the terminal substations etc., on the ground fault current distribution. There are presented some useful qualitative and quantitative results obtained through a complex dedicated developed MATLAB 7.0 program. Sun, 28 Feb 2016 00:00:00 +0200 Modular Hybrid Energy Concept Employing a Novel Control Structure Based on a Simple Analog System http://dx.doi.org/10.4316/aece.2016.02001 http://dx.doi.org/10.4316/aece.2016.02001 D., PETREUS, S., DARABAN, M., CIRSTEA, This paper proposes a novel control topology which enables the setup of a low cost analog system leading to the implementation of a modular energy conversion system. The modular concept is based on hybrid renewable energy (solar and wind) and uses high voltage inverters already available on the market. An important feature of the proposed topology is a permanently active current loop, which assures short circuit protection and simplifies the control loops compensation. The innovative analogue solution of the control structure is based on a dedicated integrated circuit (IC) for power factor correction (PFC) circuits, used in a new configuration, to assure an efficient inverter start-up. The energy conversion system (control structure and maximum power point tracking algorithm) is simulated using a new macromodel-based concept, which reduces the usual computational burden of the simulator and achieves high processing speed. The proposed novel system is presented in this article from concept, through the design and implementation stages, is verified through simulation and is validated by experimental results. Tue, 31 May 2016 00:00:00 +0300 Secure Multi-Keyword Search with User/Owner-side Efficiency in the Cloud http://dx.doi.org/10.4316/aece.2016.02002 http://dx.doi.org/10.4316/aece.2016.02002 Y., LEE, P., KIM, Y., PARK, As the amount of data in the cloud grows, ranked search system, the similarity of a query to data is ranked, are of significant importance. on the other hand, to protect privacy, searchable encryption system are being actively studied. In this paper, we present a new similarity-based multi-keyword search scheme for encrypted data. This scheme provides high flexibility in the pre- and post-processing of encrypted data, including splitting stem/suffix and computing from the encrypted index-term matrix, demonstrated to support Latent Semantic Indexing(LSI). On the client side, the computation and communication costs are one to two orders of magnitude lower than those of previous methods, as demonstrated in the experimental results. we also provide a security analysis of the proposed scheme. Tue, 31 May 2016 00:00:00 +0300 Noise Minimization in CMOS Current Mode Circuits That Employ Differential Input Stage http://dx.doi.org/10.4316/aece.2016.02003 http://dx.doi.org/10.4316/aece.2016.02003 A., YESIL, D., OZENLI, E., ARSLAN, F., KACAR, In this paper, a new noise minimization approach is proposed for CMOS current-mode (CM) circuits whose input stage is differential. This is realized by focusing on input stage and some output stage transistors' transconductance. Effect of output stage over the noise model depends on output stage's operation. This minimization is introduced to designers as a trade-off between design parameters and noise reduction. Analyses are presented in basis of Differential Difference Current Conveyor (DDCC) for simplicity. To reinforce theoretical concept, simulation results are given both in schematic and layout based. Moreover, a DDCC filter application, which has single input and four outputs is presented to verify theoretical minimization approach. After minimization, it is shown that significant noise reduction is obtained up to 50%. In addition, Monte Carlo analysis is given in order to investigate process variations and temperature effects on measured input referred noise. Tue, 31 May 2016 00:00:00 +0300 Stochastic Wheel-Slip Compensation Based Robot Localization and Mapping http://dx.doi.org/10.4316/aece.2016.02004 http://dx.doi.org/10.4316/aece.2016.02004 R. K., SIDHARTHAN, R., KANNAN, S., SRINIVASAN, V. E., BALAS, Wheel slip compensation is vital for building accurate and reliable dead reckoning based robot localization and mapping algorithms. This investigation presents stochastic slip compensation scheme for robot localization and mapping. Main idea of the slip compensation technique is to use wheel-slip data obtained from experiments to model the variations in slip velocity as Gaussian distributions. This leads to a family of models that are switched depending on the input command. To obtain the wheel-slip measurements, experiments are conducted on a wheeled mobile robot and the measurements thus obtained are used to build the Gaussian models. Then the localization and mapping algorithm is tested on an experimental terrain and a new metric called the map spread factor is used to evaluate the ability of the slip compensation technique. Our results clearly indicate that the proposed methodology improves the accuracy by 72.55% for rotation and 66.67% for translation motion as against an uncompensated mapping system. The proposed compensation technique eliminates the need for extro receptive sensors for slip compensation, complex feature extraction and association algorithms. As a result, we obtain a simple slip compensation scheme for localization and mapping. Tue, 31 May 2016 00:00:00 +0300 Variable Sampling Composite Observer Based Frequency Locked Loop and its Application in Grid Connected System http://dx.doi.org/10.4316/aece.2016.02005 http://dx.doi.org/10.4316/aece.2016.02005 K., ARUN, K., SELVAJYOTHI, A modified digital signal processing procedure is described for the on-line estimation of DC, fundamental and harmonics of periodic signal. A frequency locked loop (FLL) incorporated within the parallel structure of observers is proposed to accommodate a wide range of frequency drift. The error in frequency generated under drifting frequencies has been used for changing the sampling frequency of the composite observer, so that the number of samples per cycle of the periodic waveform remains constant. A standard coupled oscillator with automatic gain control is used as numerically controlled oscillator (NCO) to generate the enabling pulses for the digital observer. The NCO gives an integer multiple of the fundamental frequency making it suitable for power quality applications. Another observer with DC and second harmonic blocks in the feedback path act as filter and reduces the double frequency content. A systematic study of the FLL is done and a method has been proposed to design the controller. The performance of FLL is validated through simulation and experimental studies. To illustrate applications of the new FLL, estimation of individual harmonics from nonlinear load and the design of a variable sampling resonant controller, for a single phase grid-connected inverter have been presented. Tue, 31 May 2016 00:00:00 +0300 An Improved Structure of an Adaptive Excitation Control System Operating under Short-Circuit http://dx.doi.org/10.4316/aece.2016.02006 http://dx.doi.org/10.4316/aece.2016.02006 I., FILIP, O., PROSTEAN, C., VASAR, I., SZEIDERT, The paper presents an extended structure for a minimum variance adaptive control system of an induction generator, which aims to improve its operating behavior under electrical short-circuit conditions. The basic design idea is to limit the control to physically achievable values, and thus increasing the robustness of the control system and avoiding an instability regime. A control limiting block is proposed and used for this purpose. Moreover, a short-circuit detector enables an on-line setting of the control penalty factor, improving the quality of the controlled output. All these additional customizations of the control system, implemented to keep the plant operational under and after a short-time short-circuit fault (acting as an abnormal perturbation), must also provide good performance in the normal operating mode. Tue, 31 May 2016 00:00:00 +0300 MAC Protocol for Data Gathering in Wireless Sensor Networks with the Aid of Unmanned Aerial Vehicles http://dx.doi.org/10.4316/aece.2016.02007 http://dx.doi.org/10.4316/aece.2016.02007 A.-V., VLADUTA, M. L., PURA, I., BICA, Data gathering in wireless sensor networks by employing unmanned aerial vehicles has been a subject of real interest in the recent years. While drones are seen as an efficient method of data gathering in almost any environment, wireless sensor networks are the key elements for generating data because they have low dimensions, improved flexibility, decreased power consumption and costs. This paper addresses the communication at the Medium Access Control (MAC) layer between static deployed sensors and a moving drone whose unique role is to collect data from all sensors on its path. The most important part of the proposed protocol consists of prioritizing the sensors in such a manner that each of them has a fair chance to communicate with the drone. Simulations are performed in NS-2 and results demonstrate the capabilities of the proposed protocol. Tue, 31 May 2016 00:00:00 +0300 A Framework for Hardware-Accelerated Services Using Partially Reconfigurable SoCs http://dx.doi.org/10.4316/aece.2016.02008 http://dx.doi.org/10.4316/aece.2016.02008 O. M., MACHIDON, S., HINTEA, F., SANDU, The current trend towards Everything as a Service fosters a new approach on reconfigurable hardware resources. This innovative, service-oriented approach has the potential of bringing a series of benefits for both reconfigurable and distributed computing fields by favoring a hardware-based acceleration of web services and increasing service performance. This paper proposes a framework for accelerating web services by offloading the compute-intensive tasks to reconfigurable System-on-Chip (SoC) devices, as integrated IP (Intellectual Property) cores. The framework provides a scalable, dynamic management of the tasks and hardware processing cores, based on dynamic partial reconfiguration of the SoC. We have enhanced security of the entire system by making use of the built-in detection features of the hardware device and also by implementing active counter-measures that protect the sensitive data. Tue, 31 May 2016 00:00:00 +0300 A New Transformerless Single-Phase Buck-Boost AC Voltage Regulator http://dx.doi.org/10.4316/aece.2016.02009 http://dx.doi.org/10.4316/aece.2016.02009 F., YALCIN, F. A., HIMMELSTOSS, Voltage regulation is one of the important goals for electrical sources and consumers. In this paper a new transformerless single-phase AC voltage regulator based on buck-boost converter topology is presented. The regulator circuit has a simple structure using only two bidirectional active switches, one inductor and one capacitor. A closed loop control system is implemented for the proposed regulator operation. A control law depending on the instantaneous values of the regulator's real input and desired output voltage is obtained and supports the PI controller. The control law allows the controller to obtain efficient pulse width modulation (PWM) switching duty ratio for the desired output voltage when the input voltage has surges or fluctuations and the output load is changed. An experimental laboratory setup has been implemented for the proposed AC voltage regulator. The obtained results demonstrate that the proposed topology is capable of and efficient for both bucking and boosting the input AC voltage to a high quality output voltage with a low total harmonic distortion (THD) for different input voltage and load conditions. Tue, 31 May 2016 00:00:00 +0300 Optimizing Decision Tree Attack on CAS Scheme http://dx.doi.org/10.4316/aece.2016.02010 http://dx.doi.org/10.4316/aece.2016.02010 T., PERKOVIC, M., BUGARIC, M., CAGALJ, In this paper we show a successful side-channel timing attack on a well-known high-complexity cognitive authentication (CAS) scheme. We exploit the weakness of CAS scheme that comes from the asymmetry of the virtual interface and graphical layout which results in nonuniform human behavior during the login procedure, leading to detectable variations in user's response times. We optimized a well-known probabilistic decision tree attack on CAS scheme by introducing this timing information into the attack. We show that the developed classifier could be used to significantly reduce the number of login sessions required to break the CAS scheme. Tue, 31 May 2016 00:00:00 +0300 Quantitative Analysis of Memristance Defined Exponential Model for Multi-bits Titanium Dioxide Memristor Memory Cell http://dx.doi.org/10.4316/aece.2016.02011 http://dx.doi.org/10.4316/aece.2016.02011 A. A. D., DAOUD, A. A. S., DESSOUKI, S. M., ABUELENIN, The ability to store multiple bits in a single memristor based memory cell is a key feature for high-capacity memory packages. Studying multi-bit memristor circuits requires high accuracy in modelling the memristance change. A memristor model based on a novel definition of memristance is proposed. A design of a single memristor memory cell using the proposed model for the platinum electrodes titanium dioxide memristor is illustrated. A specific voltage pulse is used with varying its parameters (amplitude or pulse width) to store different number of states in a single memristor. New state variation parameters associated with the utilized model are provided and their effects on write and read processes of memristive multi-states are analysed. PSPICE simulations are also held, and they show a good agreement with the data obtained from the analysis. Tue, 31 May 2016 00:00:00 +0300 A PEG Construction of LDPC Codes Based on the Betweenness Centrality Metric http://dx.doi.org/10.4316/aece.2016.02012 http://dx.doi.org/10.4316/aece.2016.02012 I., BHURTAH-SEEWOOSUNGKUR, P. C., CATHERINE, K. M. S., SOYJAUDAH, Progressive Edge Growth (PEG) constructions are usually based on optimizing the distance metric by using various methods. In this work however, the distance metric is replaced by a different one, namely the betweenness centrality metric, which was shown to enhance routing performance in wireless mesh networks. A new type of PEG construction for Low-Density Parity-Check (LDPC) codes is introduced based on the betweenness centrality metric borrowed from social networks terminology given that the bipartite graph describing the LDPC is analogous to a network of nodes. The algorithm is very efficient in filling edges on the bipartite graph by adding its connections in an edge-by-edge manner. The smallest graph size the new code could construct surpasses those obtained from a modified PEG algorithm - the RandPEG algorithm. To the best of the authors' knowledge, this paper produces the best regular LDPC column-weight two graphs. In addition, the technique proves to be competitive in terms of error-correcting performance. When compared to MacKay, PEG and other recent modified-PEG codes, the algorithm gives better performance over high SNR due to its particular edge and local graph properties. Tue, 31 May 2016 00:00:00 +0300 Determination of Operation Characteristics of a Synchronous Generator by Static Experimental Tests http://dx.doi.org/10.4316/aece.2016.02013 http://dx.doi.org/10.4316/aece.2016.02013 I.-D., ILINA, T., TUDORACHE, This paper deals with the determination of the operation characteristics of a Synchronous Generator (SG) using static experimental tests (current and voltage decay tests). Using these tests the magnetization characteristic, the machine parameters (synchronous magnetization inductances and differential magnetization inductances), the no-load characteristic and the external characteristic were determined. The magnetization characteristic, the parameters and the operational characteristics provide important information about the performance of synchronous generator, machine which is currently used in most power plants. Compared to classical experimental methods with moving rotor and numerical methods of field computation that require the knowledge of geometric dimensions and material properties, static experimental methods are distinguished by several advantages: simple implementation for any type of SG, quick results, low power consumption and no effect on the drive system where the machine is integrated. The mathematical model of SG uses dedicated Matlab-Simulink programs and the results obtained by static methods are compared with those obtained by classical methods. Also to better approach the phenomenon of magnetic saturation and a more accurate estimate of the parameters, the magnetization characteristic, synchronous magnetization inductances and differential magnetization inductances are determined versus the total magnetizing current. Tue, 31 May 2016 00:00:00 +0300 Direct Yaw Control of Vehicle using State Dependent Riccati Equation with Integral Terms http://dx.doi.org/10.4316/aece.2016.02014 http://dx.doi.org/10.4316/aece.2016.02014 F., SANDHU, H., SELAMAT, V. B. S., MAHALLEH, Direct yaw control of four-wheel vehicles using optimal controllers such as the linear quadratic regulator (LQR) and the sliding mode controller (SMC) either considers only certain parameters constant in the nonlinear equations of vehicle model or totally neglect their effects to obtain simplified models, resulting in loss of states for the system. In this paper, a modified state-dependent Ricatti equation method obtained by the simplification of the vehicle model is proposed. This method overcomes the problem of the lost states by including state integrals. The results of the proposed system are compared with the sliding mode slip controller and state-dependent Ricatti equation method using high fidelity vehicle model in the vehicle simulation software package, Carsim. Results show 38% reduction in the lateral velocity, 34% reduction in roll and 16% reduction in excessive yaw by only increasing the fuel consumption by 6.07%. Tue, 31 May 2016 00:00:00 +0300 Semi-Supervised Multi-View Ensemble Learning Based On Extracting Cross-View Correlation http://dx.doi.org/10.4316/aece.2016.02015 http://dx.doi.org/10.4316/aece.2016.02015 R., ZALL, M. R., KEYVANPOUR, Correlated information between different views incorporate useful for learning in multi view data. Canonical correlation analysis (CCA) plays important role to extract these information. However, CCA only extracts the correlated information between paired data and cannot preserve correlated information between within-class samples. In this paper, we propose a two-view semi-supervised learning method called semi-supervised random correlation ensemble base on spectral clustering (SS_RCE). SS_RCE uses a multi-view method based on spectral clustering which takes advantage of discriminative information in multiple views to estimate labeling information of unlabeled samples. In order to enhance discriminative power of CCA features, we incorporate the labeling information of both unlabeled and labeled samples into CCA. Then, we use random correlation between within-class samples from cross view to extract diverse correlated features for training component classifiers. Furthermore, we extend a general model namely SSMV_RCE to construct ensemble method to tackle semi-supervised learning in the presence of multiple views. Finally, we compare the proposed methods with existing multi-view feature extraction methods using multi-view semi-supervised ensembles. Experimental results on various multi-view data sets are presented to demonstrate the effectiveness of the proposed methods. Tue, 31 May 2016 00:00:00 +0300 Extracting Impurity Locations using Scanning Capacitance Microscopy Measurements http://dx.doi.org/10.4316/aece.2016.03001 http://dx.doi.org/10.4316/aece.2016.03001 S., AGHAEI, P., ANDREI, M., HAGMANN, In this article we investigate the possibility to use scanning capacitance microscopy (SCM) for the 2-D and 3-D atomistic dopant profiling of semiconductor materials. For this purpose, we first analyze the effects of random dopant fluctuations (RDF) on SCM measurements with nanoscale probes and show that the discrete and random locations of dopant impurities significantly affect the differential capacitance measured in SCM experiments if the dimension of the probe is below 50 nm. Then, we present an algorithm to compute the x, y, and z coordinates of the ionized impurities in the semiconductor material using a set of SCM measurements. The algorithm is based on evaluating the doping sensitivity functions of the differential capacitance and uses a gradient-based iterative method to compute the locations of dopants. Finally, we discuss a standard simulation case and show that we are able to successfully retrieve the locations of the ionized impurities using the proposed algorithm. Wed, 31 Aug 2016 00:00:00 +0300 An Enhanced Rule-Based Web Scanner Based on Similarity Score http://dx.doi.org/10.4316/aece.2016.03002 http://dx.doi.org/10.4316/aece.2016.03002 M., LEE, Y., LEE, H., YOON, This paper proposes an enhanced rule-based web scanner in order to get better accuracy in detecting web vulnerabilities than the existing tools, which have relatively high false alarm rate when the web pages are installed in unconventional directory paths. Using the proposed matching method based on similarity score, the proposed scheme can determine whether two pages have the same vulnerabilities or not. With this method, the proposed scheme is able to figure out the target web pages are vulnerable by comparing them to the web pages that are known to have vulnerabilities. We show the proposed scanner reduces 12% false alarm rate compared to the existing well-known scanner through the performance evaluation via various experiments. The proposed scheme is especially helpful in detecting vulnerabilities of the web applications which come from well-known open-source web applications after small customization, which happens frequently in many small-sized companies. Wed, 31 Aug 2016 00:00:00 +0300 A Comparative Study of Harmonic Distortion in Multicarrier Based PWM Switching Techniques for Cascaded H-Bridge Inverters http://dx.doi.org/10.4316/aece.2016.03003 http://dx.doi.org/10.4316/aece.2016.03003 P., HAMEDANI, A., SHOULAIE, Multicarrier based PWM switching patterns are commonly utilized to control Cascaded H-bridge (CHB) inverters. The main contribution of this paper is to comprehensively investigate the effect of various multicarrier based PWM techniques on harmonic content of the CHB multilevel inverter. In order to achieve this, both of the CHB output voltage and the input current at power grid side have been taken into account. In this work, various PWM modulations such as level shifted (LS), phase shifted (PS), hybrid, and rotative-LS (R-LS) have been studied through both simulation and implementation of an experimental setup. By extracting the frequency spectrum and calculation of THD and WTHD indices, a quantitative comparative study of various multicarrier PWM techniques has been carried out. According to the results, the R-LS-PWM methods (i.e. R-PD, and two new proposed R-POD and R-APOD) reduce the harmonic distortion of the input current while keeping the obvious advantage of LS-PWM modulation such as lower harmonic distortion of the output voltage. Specially, the proposed R-APOD-PWM modulation offers these preferable privileges at odd frequency ratio values. Wed, 31 Aug 2016 00:00:00 +0300 Thermal Response Estimation in Substation Connectors Using Data-Driven Models http://dx.doi.org/10.4316/aece.2016.03004 http://dx.doi.org/10.4316/aece.2016.03004 F., GIACOMETTO, F., CAPELLI, L., ROMERAL, J.-R., RIBA, E., SALA, Temperature rise simulations are one of the key steps in the design of high-voltage substation connectors. These simulations help minimizing the number of experimental tests, which are power consuming and expensive. The conventional approach to perform these simulations relies on finite element method (FEM). It is highly desirable to reduce the number of required FEM simulations since they are time-consuming. To this end, this paper presents a data-driven modeling approach to drastically shorten the required simulation time. The data-driven approach estimates the thermal response of substation connectors from the data provided by a reduced number of FEM simulations of different operating conditions, thus allowing extrapolating the thermal response to other operating conditions. In the study, a partitioning method is also applied to enhance the performance of the learning stage of a set of data-driven methods, which are then compared and evaluated in terms of simulation time and accuracy to select the optimal configuration of the data-driven model. Finally, the complete methodology is validated against simulation tests. Wed, 31 Aug 2016 00:00:00 +0300 Multifunctional current-mode filter with dual-parameter control of the pole frequency http://dx.doi.org/10.4316/aece.2016.03005 http://dx.doi.org/10.4316/aece.2016.03005 J., JERABEK, J., DVORAK, R., SOTNER, B., METIN, K., VRBA, This paper presents a multifunctional current-mode filter with dual-parameter control of the pole frequency. The filter is of the second order, of single-input triple-output (SITO) type and a required type of the response (low pass, inverting band pass, high pass, band reject and all pass) is obtained by proper selection of one or more outputs. The filter employs two capacitors, two operational transconductance amplifiers (OTAs), each of them with controllable transconductance, and two digitally adjustable current amplifiers (DACAs), providing controllable current gain. Both these controllable parameters directly influence pole frequency of the filter. The theoretical presumptions were confirmed by laboratory measurements. Wed, 31 Aug 2016 00:00:00 +0300 ABC Algorithm based Fuzzy Modeling of Optical Glucose Detection http://dx.doi.org/10.4316/aece.2016.03006 http://dx.doi.org/10.4316/aece.2016.03006 O. G., SARACOGLU, A., BAGIS, M., KONAR, T. E., TABARU, This paper presents a modeling approach based on the use of fuzzy reasoning mechanism to define a measured data set obtained from an optical sensing circuit. For this purpose, we implemented a simple but effective an in vitro optical sensor to measure glucose content of an aqueous solution. Measured data contain analog voltages representing the absorbance values of three wavelengths measured from an RGB LED in different glucose concentrations. To achieve a desired model performance, the parameters of the fuzzy models are optimized by using the artificial bee colony (ABC) algorithm. The modeling results presented in this paper indicate that the fuzzy model optimized by the algorithm provide a successful modeling performance having the minimum mean squared error (MSE) of 0.0013 which are in clearly good agreement with the measurements. Wed, 31 Aug 2016 00:00:00 +0300 A Single-Ended and Fully-Differential Universal Current-Mode Frequency Filter with MO-CF and DACA Elements http://dx.doi.org/10.4316/aece.2016.03007 http://dx.doi.org/10.4316/aece.2016.03007 L., LANGHAMMER, J., JERABEK, J., POLAK, D., PANEK, The paper presents proposal of the 2nd-order universal frequency filter. The presented filter operates in the current-mode and it is designed in the single-ended and fully-differential form. Signal-flow graphs (SFG) method has been used in the proposal. The proposed filter is employing multi-output current followers (MO-CFs) and digitally adjustable current amplifiers (DACAs) as active elements. The pole frequency of the filter can be controlled without disturbing its quality factor. Functionality of the proposed filter in both S-E and F-D form has been verified by PSpice simulations using available models of used active elements and also by experimental measurements. A comparison of simulation and experimental results of the S-E and F-D form of the presented filter is made. Subsequently, a comparison of experimental results of both forms of the filter is also included. Wed, 31 Aug 2016 00:00:00 +0300 New Stator Tooth for Reducing Torque Ripple in Outer Rotor Permanent Magnet Machine http://dx.doi.org/10.4316/aece.2016.03008 http://dx.doi.org/10.4316/aece.2016.03008 Y., OZOGLU, Torque ripple has been a major problem for the permanent magnet (PM) machine. It is discussed focusing on the magnetic circuit of the PM machine. Since it is known the relationship between the torque ripple and the magnetic energy that is stored in the magnetic field along the air gap of the PM machine, fluctuation in the magnetic energy was initially revealed. New tooth geometry was obtained by drilling holes into stator tooth to modify this variation in the magnetic energy and the fluctuation in torque. Thus, a new stator tooth design in outer rotor surface-mounted permanent magnet (OR-SPM) machine was proposed to minimizing the torque ripple in this study. Improvement in torque ripple value was performed in excess of 50% thanks to new stator tooth design. In addition, improvements have been carried out at the average torque and total harmonic distortions (THD) of back EMF (electromotive force). Wed, 31 Aug 2016 00:00:00 +0300 A Novel Target Tracking Algorithm for Simultaneous Measurements of Radar and Infrared Sensors http://dx.doi.org/10.4316/aece.2016.03009 http://dx.doi.org/10.4316/aece.2016.03009 M., GHAZAL, A., DOUSTMOHAMMADI, In this paper, a game theory filtering technique is proposed to track a maneuvering target using radar/infrared (IR) sensors. It is shown that use of game theory technique can improve filter performance in presence of model uncertainties, measurement noise, and unknown steering command of the target. The tracking problem of maneuvering target is formulated as a zero-sum dynamic game and a utility function is developed to find equilibrium point of this game in a deterministic fashion to estimate target characteristics, including its position and velocity. To improve the filter performance, a proposed linear matrix inequality is implemented to obtain the introduced parameter in utility function. The robustness of the filter is guaranteed by minimizing the utility function for the worst case region of the measurement noise and steering command. Simulation results illustrate the improved performance of the proposed filter compared to extended Kalman and cubature Kalman filters. Wed, 31 Aug 2016 00:00:00 +0300 Spatiotemporal Data Mining for Distribution Load Expansion http://dx.doi.org/10.4316/aece.2016.03010 http://dx.doi.org/10.4316/aece.2016.03010 H. G., ARANGO, G., LAMBERT-TORRES, C. H. V., de MORAES, L. E., BORGES DA SILVA, The load spatial forecasting is fundamental for the electric energy distribution systems planning. Several methods using different conceptions have been proposed to determine the future configuration of the electric markets. This paper proposes a dynamic model of load expansion, based on concepts of local analysis using ideas and applications from urban poles theory. Thus, the load expansion is simulated in a dynamic way, maintaining a continuous change in the conditions for localization of a new load unit. An algorithm generating a snapshot that represents the distribution system configuration at that instant determines the geometry of the market in a given instant. The proposed dynamic model, based on the urban poles theory, has the capacity for summing up the information from economic variables sets, expressed in terms of interchange flow laws, which are modeled by distance and transportation functions. This supplies the model with the capacity for being used even though the number of available explanatory variables is reduced. Wed, 31 Aug 2016 00:00:00 +0300 Parallel Genetic Algorithms with Dynamic Topology using Cluster Computing http://dx.doi.org/10.4316/aece.2016.03011 http://dx.doi.org/10.4316/aece.2016.03011 N., ADAR, G., KUVAT, A parallel genetic algorithm (PGA) conducts a distributed meta-heuristic search by employing genetic algorithms on more than one subpopulation simultaneously. PGAs migrate a number of individuals between subpopulations over generations. The layout that facilitates the interactions of the subpopulations is called the topology. Static migration topologies have been widely incorporated into PGAs. In this article, a PGA with a dynamic migration topology (D-PGA) is proposed. D-PGA generates a new migration topology in every epoch based on the average fitness values of the subpopulations. The D-PGA has been tested against ring and fully connected migration topologies in a Beowulf Cluster. The D-PGA has outperformed the ring migration topology with comparable communication cost and has provided competitive or better results than a fully connected migration topology with significantly lower communication cost. PGA convergence behaviors have been analyzed in terms of the diversities within and between subpopulations. Conventional diversity can be considered as the diversity within a subpopulation. A new concept of permeability has been introduced to measure the diversity between subpopulations. It is shown that the success of the proposed D-PGA can be attributed to maintaining a high level of permeability while preserving diversity within subpopulations. Wed, 31 Aug 2016 00:00:00 +0300 An Ultra-light PRNG Passing Strict Randomness Tests and Suitable for Low Cost Tags http://dx.doi.org/10.4316/aece.2016.03012 http://dx.doi.org/10.4316/aece.2016.03012 M. H., OZCANHAN, M. S., UNLUTURK, G., DALKILIC, A pseudo-random number generator for low-cost RFID tags is presented. The scheme is simple, sequential and secure, yet has a high performance. Despite its lowest hardware complexity, our proposal represents a better alternative than previous proposals for low-cost tags. The scheme is based on the well-founded pseudo random number generator, Mersenne Twister. The proposed generator takes low-entropy seeds extracted from a physical characteristic of the tag and produces outputs that pass popular randomness tests. Contrarily, previous proposal tests are based on random number inputs from a popular online source, which are simply unavailable to tags. The high performance and satisfactory randomness of present work are supported by extensive test results and compared with similar previous works. Comparison using proven estimation formulae indicates that our proposal has the best hardware complexity, power consumption, and the least cost. Wed, 31 Aug 2016 00:00:00 +0300 Back to Basics: Solving Games with SAT http://dx.doi.org/10.4316/aece.2016.03013 http://dx.doi.org/10.4316/aece.2016.03013 S., QUER, Games became popular, within the formal verification community, after their application to automatic synthesis of circuits from specifications, and they have been receiving more and more attention since then. This paper focuses on coding the Sokoban puzzle, i.e., a very complex single-player strategy game. We show how its solution can be encoded and represented as a Bounded Model Checking problem, and then solved with a SAT solver. After that, to cope with very complex instances of the game, we propose two different ad-hoc divide-and-conquer strategies. Those strategies, somehow similar to state-of-the-art abstraction-and-refinement schemes, are able to decompose deep Bounded Model Checking instances into easier subtasks, trading-off between efficiency and completeness. We analyze a vast set of difficult hard-to-solve benchmark games, trying to push forward the applicability of state-of-the-art SAT solvers in the field. Those results show that games may provide one of the next frontier for the SAT community. Wed, 31 Aug 2016 00:00:00 +0300 Control and Optimization of UAV Trajectory for Aerial Coverage in Photogrammetry Applications http://dx.doi.org/10.4316/aece.2016.03014 http://dx.doi.org/10.4316/aece.2016.03014 D., POPESCU, F., STOICAN, L., ICHIM, Photogrammetry is a well-studied and much-used analysis tool. Typical use cases include area surveillance, flood monitoring and related tasks. Usually, an Unmanned Aerial System (UAS) is used as support for image acquisition from an a priori delimited region in a semi-automated manner (via a mix of ground control and autonomous trajectory tracking). This in turn has led to various algorithms which handle path trajectory generation under realistic constraints but still many avenues remain open. In this paper, we consider typical costs and constraints (UAS dynamics, total-path length, line inter-distance, turn points, etc.) in order to obtain, via optimization procedures, an optimal trajectory. To this end we make use of polyhedral set operations, flat trajectory generation and other similar tools. Additional work includes the study of non-convex regions and estimation of the number of photographs taken via Ehrhart polynomial computations. Wed, 31 Aug 2016 00:00:00 +0300 Face Recognition Performance Improvement using a Similarity Score of Feature Vectors based on Probabilistic Histograms http://dx.doi.org/10.4316/aece.2016.03015 http://dx.doi.org/10.4316/aece.2016.03015 G., SRIKOTE, A., MEESOMBOON, This paper proposes an improved performance algorithm of face recognition to identify two face mismatch pairs in cases of incorrect decisions. The primary feature of this method is to deploy the similarity score with respect to Gaussian components between two previously unseen faces. Unlike the conventional classical vector distance measurement, our algorithms also consider the plot of summation of the similarity index versus face feature vector distance. A mixture of Gaussian models of labeled faces is also widely applicable to different biometric system parameters. By comparative evaluations, it has been shown that the efficiency of the proposed algorithm is superior to that of the conventional algorithm by an average accuracy of up to 1.15% and 16.87% when compared with 3x3 Multi-Region Histogram (MRH) direct-bag-of-features and Principal Component Analysis (PCA)-based face recognition systems, respectively. The experimental results show that similarity score consideration is more discriminative for face recognition compared to feature distance. Experimental results of Labeled Face in the Wild (LFW) data set demonstrate that our algorithms are suitable for real applications probe-to-gallery identification of face recognition systems. Moreover, this proposed method can also be applied to other recognition systems and therefore additionally improves recognition scores. Wed, 31 Aug 2016 00:00:00 +0300 An Efficient Tile-Pyramids Building Method for Fast Visualization of Massive Geospatial Raster Datasets http://dx.doi.org/10.4316/aece.2016.04001 http://dx.doi.org/10.4316/aece.2016.04001 N., GUO, W., XIONG, Q., WU, N., JING, Building tile-pyramids is an effective way for publishing and accessing the map visualization service of large-scale geospatial data in the web. But it is a time-consuming task in Geographic Information System (GIS) to build tile-pyramids using traditional methods. In this article, an adaptive multilevel tiles generation method is proposed, which first builds grid index for the geospatial raster dataset, and then generates tiles according to different hierarchy level numbers in the tile-pyramid. With the optimized map rendering engine implemented, a parallel tiles pyramid generation method for large-scale geospatial raster dataset is integrated into a high performance GIS platform. Proved by experiments, the new method shows acceptable applicability, stability and scalability besides its high efficiency. Wed, 30 Nov 2016 00:00:00 +0200 Speeding Up VM Image Distribution for Cloud Data Centers http://dx.doi.org/10.4316/aece.2016.04002 http://dx.doi.org/10.4316/aece.2016.04002 C., LEE, H., LEE, E., KIM, An efficient scheme of virtual machine image dissemination, which takes up a major portion of VM provisioning time, is key to ensuring that the service can be provisioned and delivered to clients in a timely manner. This paper presents a novel peer-to-peer protocol to efficiently distribute virtual machine images in a cloud data center. The primary idea of our proposal is to expedite the peer-to-peer content delivery by taking advantage of a high level of similarity that oftentimes exists among different VM images. The efficacy of our protocol is validated through an evaluation that demonstrates substantial performance gains over existing approaches. Wed, 30 Nov 2016 00:00:00 +0200 A Novel Keep Zero as Zero Polar Correlation Technique for Mobile Robot Localization using LIDAR http://dx.doi.org/10.4316/aece.2016.04003 http://dx.doi.org/10.4316/aece.2016.04003 R. K., SIDHARTHAN, R., KANNAN, S., SRINIVASAN, M. M., BALAS, Sensor fusion based localization techniques often need accurate estimate of the fast and uncertain scene change in environment. To determine the scene change from two consecutive LIDAR scans, this paper proposes a novel technique called 'keep zero as zero' polar correlation. As it name implies any zero in the scan data is kept isolated from scene change estimation as it do not carry any information about scene change. Unlike existing techniques, the proposed methodology employs minimization of selective horizontal and vertically shifted sum of difference between the scans to estimate scene change in terms of rotation and translation. Minimization of the proposed correlation function across the specified search space can guarantee an accurate estimate of scene change without any ambiguity. The performance of the proposed method is tested experimentally on a mobile robot in two modes depending on the scene change. In the first mode, scene change is detected using dynamic LIDAR, whereas static LIDAR is used in the second mode. The proposed methodology is found to be more robust to environmental uncertainties with a reliable level of localization accuracy. Wed, 30 Nov 2016 00:00:00 +0200 Robust Fourier Watermarking for ID Images on Smart Card Plastic Supports http://dx.doi.org/10.4316/aece.2016.04004 http://dx.doi.org/10.4316/aece.2016.04004 R., RIAD, R., HARBA, H., DOUZI, F., ROS, M., ELHAJJI, Security checking can be improved by watermarking identity (ID) images printed on smart cards plastic supports. The major challenge is resistance to attacks: printing the images on the plastic cards, durability and other attacks then scanning the image from the plastic card. In this work, a robust watermarking technique is presented in this context. It is composed of three main mechanisms. The first is a watermarking algorithm based on the Fourier transform to cope with global geometric distortions. The second comprises a filter that reduces image blurring. The third attenuates color degradations. Experiments on 400 ID images show that the Wiener filter strongly improves the detection rate and outperforms competitive algorithms (blind deconvolution and unsharp filter). Color corrections also enhance the watermarking score. The whole scheme has a high efficiency and a low computational cost. It makes it compatible with the desired industrial constraints, i.e. the watermark is to be invisible, the error rate must be lower than 1%, and the detection of the mark should be fast and simple for the user. Wed, 30 Nov 2016 00:00:00 +0200 Modified BTC Algorithm for Audio Signal Coding http://dx.doi.org/10.4316/aece.2016.04005 http://dx.doi.org/10.4316/aece.2016.04005 S., TOMIC, Z., PERIC, J., NIKOLIC, This paper describes modification of a well-known image coding algorithm, named Block Truncation Coding (BTC) and its application in audio signal coding. BTC algorithm was originally designed for black and white image coding. Since black and white images and audio signals have different statistical characteristics, the application of this image coding algorithm to audio signal presents a novelty and a challenge. Several implementation modifications are described in this paper, while the original idea of the algorithm is preserved. The main modifications are performed in the area of signal quantization, by designing more adequate quantizers for audio signal processing. The result is a novel audio coding algorithm, whose performance is presented and analyzed in this research. The performance analysis indicates that this novel algorithm can be successfully applied in audio signal coding. Wed, 30 Nov 2016 00:00:00 +0200 A New Autofocusing Method Based on Brightness and Contrast for Color Cameras http://dx.doi.org/10.4316/aece.2016.04006 http://dx.doi.org/10.4316/aece.2016.04006 M., SELEK, The autofocusing is one of the most important features of imaging devices. This feature directly affects the quality of the image taken by the imaging device. Currently, many studies are being performed to improve the feature of autofocusing. In this study, we propose a method for passive autofocusing of the color cameras. This method suggested is called as the Passive Autofocusing Based-Brightness and Contrast (PA Based-BC). According to this method, autofocusing is performed by identifying the brightness of the R, G and B color components of the RGB image and by focusing of the camera on the brightest color component. To this end, in this study, many experiments have been conducted. The analyses of these experiments show that the contrast-based focusing made depending on the brightness gives much better results. The use of this method upgrades the focusing accuracy of the color camera up to 95%. Wed, 30 Nov 2016 00:00:00 +0200 Improving the Performances of the nMPRA Processor using a Custom Interrupt Management Scheduling Policy http://dx.doi.org/10.4316/aece.2016.04007 http://dx.doi.org/10.4316/aece.2016.04007 I., ZAGAN, V. G., GAITAN, A quantitative and qualitative increase in production has been obtained in most fields through the development of CPUs and real-time systems based on them. Such is the case in the industrial sector where the automation process relieved partly or wholly the human activities needed in the manufacturing process. This is mainly due to time sharing in embedded real-time systems and to pseudo-parallel execution of tasks in the implementation of a single central processing unit. The present article presents the validation of the nHSE (Hardware Scheduler Engine) scheduler implemented in hardware by using a FPGA Xilinx Virtex-7, Vivado development platform, and the Vivado Simulator. In this context, our main contribution relates to a custom interrupt management scheduling policy implemented in hardware at the nHSE level, in order to provide predictable execution for asynchronous interrupts. By reducing the jitter when handling with asynchronous interrupts and completely eliminating the uncertainties of the scheduling limit for the set of tasks, a significant improvement of the overall system's predictability has been obtained. Wed, 30 Nov 2016 00:00:00 +0200 Analysis of Channel Transfer Functions in Power Line Communication System for Smart Metering and Home Area Network http://dx.doi.org/10.4316/aece.2016.04008 http://dx.doi.org/10.4316/aece.2016.04008 P., MLYNEK, Z., HASIRCI, J., MISUREC, R., FUJDIAK, The paper deals with simulations of power line channel transfer functions in Network Simulator version 3. Firstly, an empirical model and calculation of the channel transfer function are given to reflect the necessity of channel transfer function for Power Line Communication system design. The framework for Power Line Communication in Network Simulator version 3 and then the necessary extension implementation are introduced. Other simulators are also mentioned. Secondly, various scenarios were implemented for the analysis and simulation of power line channel transfer functions. New scenarios for large topologies and for different approaches to calculate primary parameters were created. In the simulations, various kinds of topologies are considered for an analysis of the power line transfer function. The simulation part also focuses on the simulation of channel transfer function where the time- and frequency-selective impedances are considered. Finally, the last part focuses on measurements and a comparison of the simulation results with real measurements are given. Wed, 30 Nov 2016 00:00:00 +0200 A Novel Non-Iterative Method for Real-Time Parameter Estimation of the Fricke-Morse Model http://dx.doi.org/10.4316/aece.2016.04009 http://dx.doi.org/10.4316/aece.2016.04009 M., SIMIC, Z., BABIC, V., RISOJEVIC, R., STOJANOVIC G. M., Parameter estimation of Fricke-Morse model of biological tissue is widely used in bioimpedance data processing and analysis. Complex nonlinear least squares (CNLS) data fitting is often used for parameter estimation of the model, but limitations such as high processing time, converging into local minimums, need for good initial guess of model parameters and non-convergence have been reported. Thus, there is strong motivation to develop methods which can solve these flaws. In this paper a novel real-time method for parameter estimation of Fricke-Morse model of biological cells is presented. The proposed method uses the value of characteristic frequency estimated from the measured imaginary part of bioimpedance, whereupon the Fricke-Morse model parameters are calculated using the provided analytical expressions. The proposed method is compared with CNLS in frequency ranges of 1 kHz to 10 MHz (beta-dispersion) and 10 kHz to 100 kHz, which is more suitable for low-cost microcontroller-based bioimpedance measurement systems. The obtained results are promising, and in both frequency ranges, CNLS and the proposed method have accuracies suitable for most electrical bioimpedance (EBI) applications. However, the proposed algorithm has significantly lower computation complexity, so it was 20-80 times faster than CNLS. Wed, 30 Nov 2016 00:00:00 +0200 Broken Bar Fault Detection in IM Operating Under No-Load Condition http://dx.doi.org/10.4316/aece.2016.04010 http://dx.doi.org/10.4316/aece.2016.04010 D., RELJIC, D., JERKAN, D., MARCETIC, D., OROS, This paper presents a novel method for broken rotor bar detection in a squirrel-cage induction motor (IM). The proposed method applies a single-phase AC voltage as a test signal on motor terminals, resulting in a stator backward-rotating magnetic field. The field ultimately causes additional current components in the stator windings whose magnitudes depend on the broken bar fault severity, even if the motor is unloaded. This allows robust broken bar fault detection based only on standard motor current signature analysis (MCSA) technique. The proposed fault detection method is at first verified via simulations, using an IM model based on finite element analysis (FEA) and multiple coupled circuit approach (MCCA). The subsequent experimental investigations have shown good agreement with both theoretical predictions and simulation results. Wed, 30 Nov 2016 00:00:00 +0200 Correction Impulse Method for Turbo Decoding over Middleton Class-A Impulsive Noise http://dx.doi.org/10.4316/aece.2016.04011 http://dx.doi.org/10.4316/aece.2016.04011 L., TRIFINA, D., TARNICERIU, M., ANDREI, The correction impulse method (CIM) is very effective to achieve low error rates in turbo decoding. It was applied for transmission over Additive White Gaussian Noise (AWGN) channels, where the correction impulse value must be a real number greater than the minimum distance of the turbo code. The original version of CIM can not be used for channels modeled as Middleton additive white Class-A impulsive noise (MAWCAIN), because of nonlinearity of channel reliability. Thus, in this paper we propose two ways to modify the method such that it improves the system performances in the case of aforementioned channels. In the first one, the value of the correction impulse is chosen to maximize the channel reliability. It depends on the signal to noise ratio (SNR) and the error rates are significantly improved compared to those obtained by using the correction impulse value applied for AWGN channels. The second version is based on the least squares method and performs an approximation of the correction impulse. The approximated value depends on the SNR and the parameter A of the MAWCAIN model. The differences between the error rates obtained by the two proposed methods are negligible. Wed, 30 Nov 2016 00:00:00 +0200 An Ink-Jet Printed Capacitive Sensor for Angular Position/Velocity Measurements http://dx.doi.org/10.4316/aece.2016.04012 http://dx.doi.org/10.4316/aece.2016.04012 D. B., KRKLJES, G. M., STOJANOVIC, This paper presents the prototype of a capacitive angular position/velocity sensor which exploits the advantages of flexible/printed electronics. The sensor belongs to the incremental encoder type with two quadrature channels. Instead of the commonly used structure of planar capacitor, in this paper a cylindrical capacitor structure with digitated electrodes, for both the stator and the rotor, was implemented. The flexible printed electrodes are attached to the inner wall of the stator and to the perimeter of the rotor cylinder. The rotor has no external contacts; electrical connection is established with the stator only. The working principles of the sensor and the signal conditioning circuit were demonstrated through experimental results based on in-house developed mechanical and electronics platforms. Wed, 30 Nov 2016 00:00:00 +0200 Digital Resonant Controller based on Modified Tustin Discretization Method http://dx.doi.org/10.4316/aece.2016.04013 http://dx.doi.org/10.4316/aece.2016.04013 D., STOJIC, Resonant controllers are used in power converter voltage and current control due to their simplicity and accuracy. However, digital implementation of resonant controllers introduces problems related to zero and pole mapping from the continuous to the discrete time domain. Namely, some discretization methods introduce significant errors in the digital controller resonant frequency, resulting in the loss of the asymptotic AC reference tracking, especially at high resonant frequencies. The delay compensation typical for resonant controllers can also be compromised. Based on the existing analysis, it can be concluded that the Tustin discretization with frequency prewarping represents a preferable choice from the point of view of the resonant frequency accuracy. However, this discretization method has a shortcoming in applications that require real-time frequency adaptation, since complex trigonometric evaluation is required for each frequency change. In order to overcome this problem, in this paper the modified Tustin discretization method is proposed based on the Taylor series approximation of the frequency prewarping function. By comparing the novel discretization method with commonly used two-integrator-based proportional-resonant (PR) digital controllers, it is shown that the resulting digital controller resonant frequency and time delay compensation errors are significantly reduced for the novel controller. Wed, 30 Nov 2016 00:00:00 +0200 Testing of a Hybrid FES-Robot Assisted Hand Motor Training Program in Sub-Acute Stroke Survivors http://dx.doi.org/10.4316/aece.2016.04014 http://dx.doi.org/10.4316/aece.2016.04014 A. V., GRIGORAS, D. C., IRIMIA, M. S., POBORONIUC, C. D., POPESCU, While hands-on therapy is the most commonly used technique for upper limb rehabilitation after stroke, it requires a therapist and residual activity and is best suited for active-assisted exercises. Robotic therapy on the other hand, can provide intention driven training in a motivating environment. We compared a robotic and standard therapy group, allowing intention driven finger flexion/extention respectively active-assisted exercises and a standard therapy only group. A total of 25 patients, 2 to 6 months post-stroke, with moderate motor deficit (Fugl-Meyer Assessment or FMA between 15 and 50), were randomly assigned in one of the groups. Patients practiced 30 minutes of hands-on therapy each day for 2 weeks with a supplementary 30 minutes of robotic therapy each day for patients in the experimental group. Subjects were evaluated using the FMA, Box and Blocks test (BBT) and Stroke Impact Scale (SIS) before and after the treatment. Patients in the experimental group showed higher average gain in all tests than those in the control group but only the SIS average gain was on the limit of statistical significance. This study shows the potential efficacy of robotic therapy for hand rehabilitation in subacute stroke patients. Wed, 30 Nov 2016 00:00:00 +0200 Remote Control of an Autonomous Robotic Platform Based on Eye Tracking http://dx.doi.org/10.4316/aece.2016.04015 http://dx.doi.org/10.4316/aece.2016.04015 A., PASARICA, G. G., ANDRUSEAC, I., ADOCHIEI, C., ROTARIU, H., COSTIN, F., ADOCHIEI, Eye-tracking devices are currently used for improving communication and psychosocial status among patients with neuro-motor disabilities. This paper presents the experimental implementation of a control system for a robotic platform using eye tracking technology. The main system is based on an eye tracking subsystem that uses the circular Hough transform algorithm. A central processing unit performs the data transmission between the user and the robotic platform. Experimental tests were conducted to determine the device's performances and usability for patients with neuro-motor disabilities. Moreover, the test results were used to determine the control system learning curve. We created a data base containing information on the robotic platform processing time and precision of movement for improving the platform's performances. Wed, 30 Nov 2016 00:00:00 +0200 An Efficient Method of HOG Feature Extraction Using Selective Histogram Bin and PCA Feature Reduction http://dx.doi.org/10.4316/aece.2016.04016 http://dx.doi.org/10.4316/aece.2016.04016 C. Q., LAI, S. S., TEOH, Histogram of Oriented Gradient (HOG) is a popular image feature for human detection. It presents high detection accuracy and therefore has been widely used in vision-based surveillance and pedestrian detection systems. However, the main drawback of this feature is that it has a large feature size. The extraction algorithm is also computationally intensive and requires long processing time. In this paper, a time-efficient HOG-based feature extraction method is proposed. The method uses selective number of histogram bins to perform feature extraction on different regions in the image. Higher number of histogram bin which can capture more detailed information is performed on the regions of the image which may belong to part of a human figure, while lower number of histogram bin is used on the rest of the image. To further reduce the feature size, Principal Component Analysis (PCA) is used to rank the features and remove some unimportant features. The performance of the proposed method was evaluated using INRIA human dataset on a linear Support Vector Machine (SVM) classifier. The results showed the processing speed of the proposed method is 2.6 times faster than the original HOG and 7 times faster than the LBP method while providing comparable detection performance. Wed, 30 Nov 2016 00:00:00 +0200 Wind Power Prediction Based on LS-SVM Model with Error Correction http://dx.doi.org/10.4316/aece.2017.01001 http://dx.doi.org/10.4316/aece.2017.01001 Y., ZHANG, P., WANG, T., NI, P., CHENG, S., LEI, As conventional energy sources are non-renewable, the world's major countries are investing heavily in renewable energy research. Wind power represents the development trend of future energy, but the intermittent and volatility of wind energy are the main reasons that leads to the poor accuracy of wind power prediction. However, by analyzing the error level at different time points, it can be found that the errors of adjacent time are often approximately the same, the least square support vector machine (LS-SVM) model with error correction is used to predict the wind power in this paper. According to the simulation of wind power data of two wind farms, the proposed method can effectively improve the prediction accuracy of wind power, and the error distribution is concentrated almost without deviation. The improved method proposed in this paper takes into account the error correction process of the model, which improved the prediction accuracy of the traditional model (RBF, Elman, LS-SVM). Compared with the single LS-SVM prediction model in this paper, the mean absolute error of the proposed method had decreased by 52 percent. The research work in this paper will be helpful to the reasonable arrangement of dispatching operation plan, the normal operation of the wind farm and the large-scale development as well as fully utilization of renewable energy resources. Tue, 28 Feb 2017 00:00:00 +0200 Enhancing Trusted Cloud Computing Platform for Infrastructure as a Service http://dx.doi.org/10.4316/aece.2017.01002 http://dx.doi.org/10.4316/aece.2017.01002 H., KIM, The characteristics of cloud computing including on-demand self-service, resource pooling, and rapid elasticity have made it grow in popularity. However, security concerns still obstruct widespread adoption of cloud computing in the industry. Especially, security risks related to virtual machine make cloud users worry about exposure of their private data in IaaS environment. In this paper, we propose an enhanced trusted cloud computing platform to provide confidentiality and integrity of the user's data and computation. The presented platform provides secure and efficient virtual machine management protocols not only to protect against eavesdropping and tampering during transfer but also to guarantee the virtual machine is hosted only on the trusted cloud nodes against inside attackers. The protocols utilize both symmetric key operations and public key operations together with efficient node authentication model, hence both the computational cost for cryptographic operations and the communication steps are significantly reduced. As a result, the simulation shows the performance of the proposed platform is approximately doubled compared to the previous platforms. The proposed platform eliminates cloud users' worry above by providing confidentiality and integrity of their private data with better performance, and thus it contributes to wider industry adoption of cloud computing. Tue, 28 Feb 2017 00:00:00 +0200 Adaptive Neuro-Fuzzy Based Gain Controller for Erbium-Doped Fiber Amplifiers http://dx.doi.org/10.4316/aece.2017.01003 http://dx.doi.org/10.4316/aece.2017.01003 M., YUCEL, F. V., CELEBI, M., TORUN, H. H., GOKTAS, Erbium-doped fiber amplifiers (EDFA) must have a flat gain profile which is a very important parameter such as wavelength division multiplexing (WDM) and dense WDM (DWDM) applications for long-haul optical communication systems and networks. For this reason, it is crucial to hold a stable signal power per optical channel. For the purpose of overcoming performance decline of optical networks and long-haul optical systems, the gain of the EDFA must be controlled for it to be fixed at a high speed. In this study, due to the signal power attenuation in long-haul fiber optic communication systems and non-equal signal amplification in each channel, an automatic gain controller (AGC) is designed based on the adaptive neuro-fuzzy inference system (ANFIS) for EDFAs. The intelligent gain controller is implemented and the performance of this new electronic control method is demonstrated. The proposed ANFIS-based AGC-EDFA uses the experimental dataset to produce the ANFIS-based sets and the rule base. Laser diode currents are predicted within the accuracy rating over 98 percent with the proposed ANFIS-based system. Upon comparing ANFIS-based AGC-EDFA and experimental results, they were found to be very close and compatible. Tue, 28 Feb 2017 00:00:00 +0200 Comparison of Cepstral Normalization Techniques in Whispered Speech Recognition http://dx.doi.org/10.4316/aece.2017.01004 http://dx.doi.org/10.4316/aece.2017.01004 D., GROZDIC, S., JOVICIC, D., SUMARAC PAVLOVIC, J., GALIC, B., MARKOVIC, This article presents an analysis of different cepstral normalization techniques in automatic recognition of whispered and bimodal speech (speech+whisper). In these experiments, conventional GMM-HMM speech recognizer was used as speaker-dependant automatic speech recognition system with special Whi-Spe corpus containing utterance recordings in normally phonated speech and whisper. The following normalization techniques were tested and compared: CMN (Cepstral Mean Normalization), CVN (Cepstral Variance Normalization), MVN (Cepstral Mean and Variance Normalization), CGN (Cepstral Gain Normalization) and quantile-based dynamic normalization techniques such as QCN and QCN-RASTA. The experimental results show to what extent each of these cepstral normalization techniques can improve whisper recognition accuracy in mismatched train/test scenario. The best result is obtained using CMN in combination with inverse filtering which provides an average 39.9 percent improvement in whisper recognition accuracy for all tested speakers. Tue, 28 Feb 2017 00:00:00 +0200 Efficient FPGA Implementation of High-Throughput Mixed Radix Multipath Delay Commutator FFT Processor for MIMO-OFDM http://dx.doi.org/10.4316/aece.2017.01005 http://dx.doi.org/10.4316/aece.2017.01005 M., DALI, A., GUESSOUM, R. M., GIBSON, A., AMIRA, N., RAMZAN, This article presents and evaluates pipelined architecture designs for an improved high-frequency Fast Fourier Transform (FFT) processor implemented on Field Programmable Gate Arrays (FPGA) for Multiple Input Multiple Output Orthogonal Frequency Division Multiplexing (MIMO-OFDM). The architecture presented is a Mixed-Radix Multipath Delay Commutator. The presented parallel architecture utilizes fewer hardware resources compared to Radix-2 architecture, while maintaining simple control and butterfly structures inherent to Radix-2 implementations. The high-frequency design presented allows enhancing system throughput without requiring additional parallel data paths common in other current approaches, the presented design can process two and four independent data streams in parallel and is suitable for scaling to any power of two FFT size N. FPGA implementation of the architecture demonstrated significant resource efficiency and high-throughput in comparison to relevant current approaches within literature. The proposed architecture designs were realized with Xilinx System Generator (XSG) and evaluated on both Virtex-5 and Virtex-7 FPGA devices. Post place and route results demonstrated maximum frequency values over 400 MHz and 470 MHz for Virtex-5 and Virtex-7 FPGA devices respectively. Tue, 28 Feb 2017 00:00:00 +0200 FPA Tuned Fuzzy Logic Controlled Synchronous Buck Converter for a Wave/SC Energy System http://dx.doi.org/10.4316/aece.2017.01006 http://dx.doi.org/10.4316/aece.2017.01006 E., SAHIN, I. H., ALTAS, This paper presents a flower pollination algorithm (FPA) tuned fuzzy logic controlled (FLC) synchronous buck converter (SBC) for an integrated wave/ supercapacitor (SC) hybrid energy system. In order to compensate the irregular wave effects on electrical side of the wave energy converter (WEC), a SC unit charged by solar panels is connected in parallel to the WEC system and a SBC is controlled to provide more reliable and stable voltage to the DC load. In order to test the performance of the designed FLC, a classical proportional-integral-derivative (PID) controller is also employed. Both of the controllers are optimized by FPA which is a pretty new optimization algorithm and a well-known optimization algorithm of which particle swarm optimization (PSO) to minimize the integral of time weighted absolute error (ITAE) performance index. Also, the other error-based objective functions are considered. The entire energy system and controllers are developed in Matlab/Simulink and realized experimentally. Real time applications are done through DS1104 Controller Board. The simulation and experimental results show that FPA tuned fuzzy logic controller provides lower value performance indices than conventional PID controller by reducing output voltage sags and swells of the wave/SC energy system. Tue, 28 Feb 2017 00:00:00 +0200 Vibration Based Broken Bar Detection in Induction Machine for Low Load Conditions http://dx.doi.org/10.4316/aece.2017.01007 http://dx.doi.org/10.4316/aece.2017.01007 D., MATIC, Z., KANOVIC, A new method for broken bar detection, based on vibration signal analysis, is presented in this paper. While there are several methods for broken bar detection at low slip based on the current signal analysis, detection based on vibration signals attracts much less attention. In the current paper, detection of the broken bar was conducted by observing fault frequency content of the modulus of the analytical vibration signal. A broken bar feature is extracted from low frequency range even for low slip conditions. Although this method is successfully used for broken bar detection based on current signal analysis, it is important to verify the method when vibration signal is measured. Procedure is verified in a real industrial environment for induction motor of 3.15 MW. Tue, 28 Feb 2017 00:00:00 +0200 Boost Converter with Active Snubber Network http://dx.doi.org/10.4316/aece.2017.01008 http://dx.doi.org/10.4316/aece.2017.01008 F. A., HIMMELSTOSS, A. R., DERIN, M., CERNAT, A new concept for reducing the losses in a boost converter is described. With the help of an auxiliary switch and a resonant circuit, zero-voltage switching at turn-off and zero-current switching during turn-on are achieved. The modes of the circuit are shown in detail. The energy recovery of the turn-off is analyzed and the recovered energy is calculated; an optimized switching concept therefore is described. The influence of the parasitic capacity of the switch is discussed. Dimensioning hints for the converter and the design of the recuperation circuit are given. A bread-boarded design shows the functional efficiency of the concept. Tue, 28 Feb 2017 00:00:00 +0200 Adaptive and Robust Sliding Mode Position Control of IPMSM Drives http://dx.doi.org/10.4316/aece.2017.01009 http://dx.doi.org/10.4316/aece.2017.01009 M., ZAKY, S., SHABAN, T., FETOUH, This paper proposes an adaptive and robust sliding mode control (SMC) for the position control of Interior Permanent Magnet Synchronous Motor (IPMSM) drives. A switching surface of SMC is designed using a Linear Quadratic Regulator (LQR) technique to simultaneously control the tracking trajectory and load torque changes. The quadratic optimal control method is used to select the state feedback control gain that constitutes the system dynamic performance under uncertainties and disturbances. Feedback and switching gains are selected to satisfy both stability and fast convergence of the IPMSM. Matlab/Simulink is used to build the drive system. Experimental implementation of the IPMSM drive is carried out using DSP-DS1102 control board. The efficacy of the proposed position control method is validated using theoretical analysis and simulation and experimental results. Tue, 28 Feb 2017 00:00:00 +0200 Design Options for Thermal Shutdown Circuitry with Hysteresis Width Independent on the Activation Temperature http://dx.doi.org/10.4316/aece.2017.01010 http://dx.doi.org/10.4316/aece.2017.01010 C.-S., PLESA, M., NEAG, L., RADOIAS, This paper presents several design options for implementing a thermal shutdown circuit with hysteretic characteristic, which has two special features: a programmable activation temperature (the upper trip point of the characteristic) and a hysteresis width largely insensitive to the actual value of the activation temperature and to variations of the supply voltage. A fairly straightforward architecture is employed, with the hysteresis implemented by a current source enabled by the output of the circuit. Four possible designs are considered for this current source: VBE/R, modified-VBE/R, Widlar and a peaking current source tailored for this circuit. First, a detailed analytical analysis of the circuit implemented with these current sources is performed; it indicates the one best suited for this application and provides key sizing equations. Next, the chosen current source is employed to design the thermal shutdown protection of an integrated Low-Dropout Voltage Regulator (LDO) for automotive applications. Simulation results and measurements performed on the silicon implementation fully validate the design. Moreover, they compare favorably with the performance of similar circuits reported recently. Tue, 28 Feb 2017 00:00:00 +0200 A New Systolic Array Algorithm and Architecture for the VLSI Implementation of IDST Based on a Pseudo-Band Correlation Structure http://dx.doi.org/10.4316/aece.2017.01011 http://dx.doi.org/10.4316/aece.2017.01011 D. F., CHIPER, A., CRACAN, D., BURDIA, In this paper a new linear VLSI array architecture for the VLSI implementation of a prime-length 1-D Inverse Discrete Sine Transform (IDST) is proposed. This new design approach uses a new efficient VLSI algorithm based on a regular and modular computational structure called pseudo-band correlation structure. It employs a new formulation of the inverse DST that is mapped on a linear systolic array. Using the proposed systolic array high computing speed is obtained with a low hardware complexity and low I/O cost. A highly efficient VLSI chip can be obtained characterized by a small number of I/O channels located at the two extreme ends of the array together with a low I/O bandwidth that is independent of the transform length N, a good topology with modular, regular and local connections. Tue, 28 Feb 2017 00:00:00 +0200 Proportional-Integral-Resonant AC Current Controller http://dx.doi.org/10.4316/aece.2017.01012 http://dx.doi.org/10.4316/aece.2017.01012 D., STOJIC, T., TARCZEWSKI, I., KLASNIC, In this paper an improved stationary-frame AC current controller based on the proportional-integral-resonant control action (PIR) is proposed. Namely, the novel two-parameter PIR controller is applied in the stationary-frame AC current control, accompanied by the corresponding parameter-tuning procedure. In this way, the proportional-resonant (PR) controller, common in the stationary-frame AC current control, is extended by the integral (I) action in order to enable the AC current DC component tracking, and, also, to enable the DC disturbance compensation, caused by the voltage source inverter (VSI) nonidealities and by nonlinear loads. The proposed controller parameter-tuning procedure is based on the three-phase back-EMF-type load, which corresponds to a wide range of AC power converter applications, such as AC motor drives, uninterruptible power supplies, and active filters. While the PIR controllers commonly have three parameters, the novel controller has two. Also, the provided parameter-tuning procedure needs only one parameter to be tuned in relation to the load and power converter model parameters, since the second controller parameter is directly derived from the required controller bandwidth value. The dynamic performance of the proposed controller is verified by means of simulation and experimental runs. Tue, 28 Feb 2017 00:00:00 +0200 A New Method for Maintaining Constant Dither Amplitude in Low Frequency PWM http://dx.doi.org/10.4316/aece.2017.01013 http://dx.doi.org/10.4316/aece.2017.01013 H., KANG, J., PARK, J., CHO, J., KIM, J., OH, Various controls for fluid flow and pressure are now required in related industries, and the pulse width modulation (PWM) and dithering techniques have become essential for the proportional control of solenoids. However, there is a fatal drawback when the dither current signals are generated as a by-product of low frequency PWM. That is, the average current and the dither amplitude in low frequency PWM cannot be controlled independently. Therefore, a new method for maintaining constant dither amplitudes is proposed in this paper. Throughout the mathematical analysis, the effect of PWM frequency and duty cycle on the average current and dither amplitude was investigated, and the analysis result was validated by electrical experiments. Based on the mathematical analysis, a new method that properly varies both the duty cycle and the PWM frequency to obtain the desired average current and constant dither amplitude was established and verified. This method requires only the calculations for determining the proper PWM frequency and duty cycle, so it is possible to improve the performance of a proportional solenoid valve without additional devices or cost. Tue, 28 Feb 2017 00:00:00 +0200 Three-Level Delta Modulation for Laplacian Source Coding http://dx.doi.org/10.4316/aece.2017.01014 http://dx.doi.org/10.4316/aece.2017.01014 B., DENIC, Z., PERIC, V., DESPOTOVIC, This paper proposes a novel solution for coding of time varying signals with Laplacian distribution, which is based on delta modulation and three-level quantization. It upgrades the conventional scheme by introducing the quantizer with variable length code. Forward adaptive scheme is used, where the adaptation to the signal variance is performed on frame-by-frame basis. We employ configurations with simple fixed first-order predictor and switched first-order predictor utilizing correlation. Furthermore, we propose different methods for optimizing predictor coefficients. The configurations are tested on speech signal and compared to an adaptive two-level and four-level delta modulation, showing that proposed three-level delta modulation offers performance comparable to a four-level baseline with significant savings in bit rate. Tue, 28 Feb 2017 00:00:00 +0200 Measurement of Soil Resistivity in Order to Determine the Buried Walls Trajectory http://dx.doi.org/10.4316/aece.2017.01015 http://dx.doi.org/10.4316/aece.2017.01015 M. S., MUNTEANU, L., CZUMBIL, D. D., MICU, S. F., BRAICU, S., NEMETI, M., PISLARU, The importance of archaeometric investigations, performed with technical support is not only that eases the work of archaeologists, but also contributes to optimize human, financial and time resources. Thus the study highlights the results of investigation of an archaeological site from the imperial roman era through a method specific to electrical engineering. Accordingly, based on some soil resistivity measurements made in the Legionary Camp of Potaissa - fortress where the 5th Macedonian Legion camped, members of the Archaeometry Laboratory from the Technical University of Cluj-Napoca were able to identify and establish the trajectory of buried walls that were marking the specific construction of the barracks belonging to the troops in Cohors I Miliaria. In order to perform this task, a genetic algorithm based technique was used to determine the different soil layers. Tue, 28 Feb 2017 00:00:00 +0200 A High Optical Transmittance and Low Cost Touch Screen without Patterning http://dx.doi.org/10.4316/aece.2017.01016 http://dx.doi.org/10.4316/aece.2017.01016 K., SAMADZAMINI, J., FROUNCHI, H., VELADI, Transparent Conducting Oxide (TCO) materials such as Fluorine Tin Oxide (FTO) and Indium Tin Oxide (ITO) due to their optical and electrical properties are used in touch screens as electrodes and wires. This paper proposes a novel technique of using Electrical Resistivity Tomography (ERT) method in order to produce touch screens without pattering. Unlike existing techniques, the proposed methodology employs a uniform TCO coated screen with a maximum optical transmittance to convert the touch point coordinates into side electrodes voltages. The performance of the proposed method is tested experimentally on a FTO coated glass with a sheet resistance of 20 ohms/sq. The proposed methodology is found to be less complicated and low cost, since no pattern or electrodes are implemented in the display area. Tue, 28 Feb 2017 00:00:00 +0200 Fault Detection Variants of the CloudBus Protocol for IoT Distributed Embedded Systems http://dx.doi.org/10.4316/aece.2017.02001 http://dx.doi.org/10.4316/aece.2017.02001 A., BARKALOV, L., TITARENKO, G., ANDRZEJEWSKI, K., KRZYWICKI, M., KOLOPIENCZYK, Distributed embedded systems have become larger, more complex and complicated. More often, such systems operate accordingly to the IoT or Industry 4.0 concept. However, large number of end modules operating in the system leads to a significant load and consequently, to an overload of the communication interfaces. The CloudBus protocol is one of the methods which is used for data exchange and concurrent process synchronization in the distributed systems. It allows the significant savings in the amount of transmitted data between end modules, especially when compared with the other protocols used in the industry. Nevertheless, basic version of the protocol does not protect against the system failure in the event of failure of one of the nodes. This paper proposes four novel variants of the CloudBus protocol, which allow the fault detection. The comparison and performance analysis was executed for all proposed CloudBus variants. The verification and behavior analysis of the distributed systems were performed on SoC hardware research platform. Furthermore, a simple test application was proposed. Wed, 31 May 2017 00:00:00 +0300 An Internet of Things Framework for Remote Monitoring of the HealthCare Parameters http://dx.doi.org/10.4316/aece.2017.02002 http://dx.doi.org/10.4316/aece.2017.02002 I., UNGUREAN, A., BREZULIANU, Due to its very high potential, the Internet of Things (IoT) concept has been integrated in modern telemedicine systems. These systems enable real-time monitoring of patients at home, by using devices for acquiring various medical parameters or wearable devices that allow real-time monitoring of the medical signals. The data are transmitted to a medical specialist's office via the Internet and can be stored in cloud for further analysis. This article proposes an IoT architecture that can be used in healthcare for monitoring ECG signals independently acquired by the patient, using a mobile tele-electrocardiograph, without the help of a specialist. The main features of the mobile device are described, as well as how these features are integrated into the proposed IoT architecture. The article also tackles the security issues that may occur during the using of this system: integrity, confidentiality and authenticity. Wed, 31 May 2017 00:00:00 +0300 Software Architecture Design for Spatially-Indexed Media in Smart Environments http://dx.doi.org/10.4316/aece.2017.02003 http://dx.doi.org/10.4316/aece.2017.02003 O.-A., SCHIPOR, W., WU, W.-T., TSAI, R.-D., VATAVU, We introduce in this work a new software architecture design, based on well-established web communication protocols and scripting languages, for implementing spatially-indexed media in smart environments. We based our approach on specific design guidelines. Our concept of spatially-indexed media enables users to readily instantiate mappings between digital content and specific regions of the physical space. We present an implementation of the architecture using a motion capture system, a large visualization display, and several smart devices. We also present an experimental evaluation of our new software architecture by reporting response times function of changes in the complexity of physical-digital environment. Wed, 31 May 2017 00:00:00 +0300 Healthcare IoT m-GreenCARDIO Remote Cardiac Monitoring System - Concept, Theory of Operation and Implementation http://dx.doi.org/10.4316/aece.2017.02004 http://dx.doi.org/10.4316/aece.2017.02004 I., ZAGAN, V. G., GAITAN, A.-I., PETRARIU, A., BREZULIANU, Present day Internet of Things (IoT) developers are inspired by the spectacular evolution in the field, and, at the same time, determined to connect an increasingly wider range of 'things', with the lowest power consumption, the wider range of action and interoperability guaranteed with excessive quality. Based on current challenges in the medical and electronic field, the present paper seeks the practical implementation of an efficient, low cost, low-power IoT medical system, yet with a greater memory autonomy. In this context, our main contribution is the implementation of a solution for ECG monitoring based on IoT techniques. This paper presents a qualitative research in the field of healthcare IoT and embedded applications meant to provide an innovative and flexible system meeting the stringent requirements of this area. Without compromising the performance intake and the low power consumption, the designers offer flexible options for connectivity and response time. Wed, 31 May 2017 00:00:00 +0300 Hybrid Solution for Privacy-Preserving Access Control for Healthcare Data http://dx.doi.org/10.4316/aece.2017.02005 http://dx.doi.org/10.4316/aece.2017.02005 M. B., SMITHAMOL, S., RAJESWARI, The booming in cloud and IoT technologies has accelerated the growth of healthcare system. The IoT devices monitor the patient's health, and upload collected data as Electronic Medical Records (EMRs) to the cloud for storage and sharing. Outsourcing EMRs to the cloud introduce new security and privacy challenges. In this paper, we proposed a novel architecture ensuring security and privacy for the outsourced health records. The proposed model uses partially ordered set (POSET) for constructing the group based access structure and Ciphertext-Policy Attribute-Based Encryption (CP-ABE) to provide fine-grained EMR access control. The modified group based CP-ABE (G-CP-ABE) minimizes the computational overhead by reducing the number of leaf nodes in the access tree. Also, the proposed G-CP-ABE framework merges symmetric encryption and CP-ABE scheme to minimize the overall encryption time. As a result, G-CP-ABE can be used to monitor health conditions even from a resource constrained IoT device. The performance analysis shows the efficiency of the proposed model, making it suitable for practical use. Wed, 31 May 2017 00:00:00 +0300 Analysis of Steady-State Error in Torque Current Component Control of PMSM Drive http://dx.doi.org/10.4316/aece.2017.02006 http://dx.doi.org/10.4316/aece.2017.02006 P., BRANDSTETTER, I., NEBORAK, M., KUCHAR, The paper presents dynamic properties of a vector controlled permanent magnet synchronous motor drive supplied by a voltage source inverter. The paper deals with a control loop for the torque producing stator current. There is shown fundamental mathematical description for the vector control structure of the permanent magnet synchronous motor drive with respect to the current control for d-axis and q-axis of the rotor rotating coordinate system. The derivations of steady-state deviation for schemes with and without decoupling circuits are described for q-axis. The properties of both schemes are verified by MATLAB-SIMULINK program considering a lower and a higher value of inertia and by experimental measurements in our laboratory. The simulation and experimental results are presented and discussed at the end of the paper. Wed, 31 May 2017 00:00:00 +0300 Conceptual Design of an Online Estimation System for Stigmergic Collaboration and Nodal Intelligence on Distributed DC Systems http://dx.doi.org/10.4316/aece.2017.02007 http://dx.doi.org/10.4316/aece.2017.02007 W., DOORSAMY, W., CRONJE, The secondary level control of stand-alone distributed energy systems requires accurate online state information for effective coordination of its components. State estimation is possible through several techniques depending on the system's architecture and control philosophy. A conceptual design of an online state estimation system to provide nodal autonomy on DC systems is presented. The proposed estimation system uses local measurements - at each node - to obtain an aggregation of the system's state required for nodal self-control without the need for external communication with other nodes or a central controller. The recursive least-squares technique is used in conjunction with stigmergic collaboration to implement the state estimation system. Numerical results are obtained using a Matlab/Simulink model and experimentally validated in a laboratory setting. Results indicate that the proposed system provides accurate estimation and fast updating during both quasi-static and transient states. Wed, 31 May 2017 00:00:00 +0300 A New Optimized Model to Handle Temporal Data using Open Source Database http://dx.doi.org/10.4316/aece.2017.02008 http://dx.doi.org/10.4316/aece.2017.02008 S., KUMAR, R., RISHI, The majority of the database applications now a days deal with temporal data. Temporal records are known to change during the course of time and facilities to manage the multiple snapshots of these records are generally missing in conventional databases. Consequently, different temporal data models have been proposed and implemented as an extension of the temporal less database systems. In the single relation model, the present and past instances are stored in a single relation that makes its handling cumbersome and inefficient. This paper emphasize upon storing the past instances of the records in the multiple historical relations. The current relations will manage the recent snapshot of data. The tuple time stamping approach is used to timestamp the temporal records. This paper proposes a temporal model for the management of time varying data built on the top of conventional open source database. Indexing is used to enhance the performance of the model. The proposed model is also compared with the single relation model. Wed, 31 May 2017 00:00:00 +0300 Wavelet Energy and the Usefulness of its Powers in Motion Detection http://dx.doi.org/10.4316/aece.2017.02009 http://dx.doi.org/10.4316/aece.2017.02009 I., VUJOVIC, I., KUZMANIC, The potential for the usage of energy exponents in motion detection from video sequences is explored. The wavelet domain was chosen for the research due to the optimality of Hilbert's space for energy calculations and Parseval's equation for energy equivalence between domains. Five algorithms were considered: wavelet energy motion detection algorithm based on wavelet pairs and buffer, listed in the references, and four which are the contributions of this paper: modification by the application of different wavelet pairs, a modified algorithm without buffer, a modified algorithm without buffer and pairs, newly developed algorithms for energy exponents with and without buffer, but with wavelet pairs. The considered algorithms are background subtraction algorithms modified not to use pixels values, but rather energy/energy exponent backgrounds and the current situation models. These models are described by wavelet descriptors, the introduction of which is the contribution of this paper. They are compared by standard statistical criteria and execution time. The results suggest that an increase in the energy exponent decreases precision, recall and F-measure. However, the percentage of correct classifications remains almost constant. Higher exponentials reduce noise, but are more susceptible to shadows, the waving tree effect and similar abnormalities. Algorithms without buffers are less robust to illumination changes. Wed, 31 May 2017 00:00:00 +0300 Golden Sine Algorithm: A Novel Math-Inspired Algorithm http://dx.doi.org/10.4316/aece.2017.02010 http://dx.doi.org/10.4316/aece.2017.02010 E., TANYILDIZI, G., DEMIR, In this study, Golden Sine Algorithm (Gold-SA) is presented as a new metaheuristic method for solving optimization problems. Gold-SA has been developed as a new search algorithm based on population. This math-based algorithm is inspired by sine that is a trigonometric function. In the algorithm, random individuals are created as many as the number of search agents with uniform distribution for each dimension. The Gold-SA operator searches to achieve a better solution in each iteration by trying to bring the current situation closer to the target value. The solution space is narrowed by the golden section so that the areas that are supposed to give only good results are scanned instead of the whole solution space scan. In the tests performed, it is seen that Gold-SA has better results than other population based methods. In addition, Gold-SA has fewer algorithm-dependent parameters and operators than other metaheuristic methods, increasing the importance of this method by providing faster convergence of this new method. Wed, 31 May 2017 00:00:00 +0300 Speech Rate Control for Improving Elderly Speech Recognition of Smart Devices http://dx.doi.org/10.4316/aece.2017.02011 http://dx.doi.org/10.4316/aece.2017.02011 G., SON, S., KWON, Y., LIM, Although smart devices have become a widely-adopted tool for communication in modern society, it still requires a steep learning curve among the elderly. By introducing a voice-based interface for smart devices using voice recognition technology, smart devices can become more user-friendly and useful to the elderly. However, the voice recognition technology used in current devices is attuned to the voice patterns of the young. Therefore, speech recognition falters when an elderly user speaks into the device. This paper has identified that the elderly's improper speech rate by each syllable contributes to the failure in the voice recognition system. Thus, upon modifying the speech rate by each syllable, the voice recognition rate saw an increase of 12.3%. This paper demonstrates that by simply modifying the speech rate by each syllable, which is one of the factors that causes errors in voice recognition, the recognition rate can be substantially increased. Such improvements in voice recognition technology can make it easier for the elderly to operate smart devices that will allow them to be more socially connected in a mobile world and access information at their fingertips. It may also be helpful in bridging the communication divide between generations. Wed, 31 May 2017 00:00:00 +0300 Cogent Confabulation based Expert System for Segmentation and Classification of Natural Landscape Images http://dx.doi.org/10.4316/aece.2017.02012 http://dx.doi.org/10.4316/aece.2017.02012 M., BRAOVIC, D., STIPANICEV, D., KRSTINIC, Ever since there has been an increase in the number of automatic wildfire monitoring and surveillance systems in the last few years, natural landscape images have been of great importance. In this paper we propose an expert system for fast segmentation and classification of regions on natural landscape images that is suitable for real-time applications. We focus primarily on Mediterranean landscape images since the Mediterranean area and areas with similar climate are the ones most associated with high wildfire risk. The proposed expert system is based on cogent confabulation theory and knowledge bases that contain information about local and global features, optimal color spaces suitable for classification of certain regions, and context of each class. The obtained results indicate that the proposed expert system significantly outperforms well-known classifiers that it was compared against in both accuracy and speed, and that it is effective and efficient for real-time applications. Additionally, we present a FESB MLID dataset on which we conducted our research and that we made publicly available. Wed, 31 May 2017 00:00:00 +0300 Three-Dimensional Spatial-Spectral Filtering Based Feature Extraction for Hyperspectral Image Classification http://dx.doi.org/10.4316/aece.2017.02013 http://dx.doi.org/10.4316/aece.2017.02013 H. A., AKYUREK, B., KOCER, Hyperspectral pixels which have high spectral resolution are used to predict decomposition of material types on area of obtained image. Due to its multidimensional form, hyperspectral image classification is a challenging task. Hyperspectral images are also affected by radiometric noise. In order to improve the classification accuracy, many researchers are focusing on the improvement of filtering, feature extraction and classification methods. In the context of hyperspectral image classification, spatial information is as important as spectral information. In this study, a three-dimensional spatial-spectral filtering based feature extraction method is presented. It consists of three main steps. The first is a pre-processing step which include spatial-spectral information filtering in three-dimensional space. The second comprises extract functional features of filtered data. The last one is combining extracted features by serial feature fusion strategy and using to classify hyperspectral image pixels. Experiments were conducted on two popular public hyperspectral remote sensing image, 1%, 5%, 10% and 15% of samples of each classes used as training set, the remaining is used as test set. The proposed method compared with well-known methods. Experimental results show that the proposed method achieved outstanding performance than compared methods in hyperspectral image classification task. Wed, 31 May 2017 00:00:00 +0300 An Adaptive Sparse Algorithm for Synthesizing Note Specific Atoms by Spectrum Analysis, Applied to Music Signal Separation http://dx.doi.org/10.4316/aece.2017.02014 http://dx.doi.org/10.4316/aece.2017.02014 M., AZAMIAN, E., KABIR, S., SEYEDIN, E., MASEHIAN, In this paper, a sparse method is proposed to synthesize the note-specific atoms for musical notes of different instruments, and is applied to separate the sounds of two instruments coexisting in a monaural mixture. The main idea is to explore the inherent time structures of the musical notes by a novel adaptive method. These structures are used to synthesize some time-domain functions called note-specific atoms. The note-specific atoms of different instruments are integrated in a global dictionary. In this dictionary, there is only one note-specific atom for each note of any instrument, resulting in a sparse space for each instrument. The signal separation is done by mapping the mixture signal to the global dictionary. The signal related to each instrument is estimated by a summation of the mapped note-specific atoms tagged for that instrument. Experimental results demonstrate that the proposed method improves the quality of signal separation compared to a recently proposed method. Wed, 31 May 2017 00:00:00 +0300 A Novel Approach for the Prediction of Conversion from Mild Cognitive Impairment to Alzheimer's disease using MRI Images http://dx.doi.org/10.4316/aece.2017.02015 http://dx.doi.org/10.4316/aece.2017.02015 A., AYUB, S., FARHAN, M. A., FAHIEM, H., TAUSEEF, The main objective of our research is to introduce an approach that uses noninvasive MRI images to predict the conversion from mild cognitive impairment to Alzheimer's disease at an early stage. It detects normal controls that are likely to develop Alzheimer's disease and mild cognitive impairment patients that are likely to establish Alzheimer's disease within two years or, contrarily, their stage remains same. The proposed approach uses two types of features i.e. volumetric features and textural features. Volumetric features consist of volume of grey matter, volume of white matter and volume of cerebrospinal fluid. A total of 364 textural features have been calculated. To avoid the curse of dimensionality, textural features are reduced to 15 features using gain ratio, a ranking based search algorithm. All features are tested against four classifiers i.e. AODEsr, VFI, RBF and LBR. Leave-One-Out cross validation strategy is used for the evaluation of proposed approach. Results show accuracy of 98.33% with volumetric features and 100% with textural features using VFI and LBR. Our approach is innovative because of its higher accuracy results as compared to existing approaches yet with a smaller feature set. Wed, 31 May 2017 00:00:00 +0300 Real-Time Scheduling for Preventing Information Leakage with Preemption Overheads http://dx.doi.org/10.4316/aece.2017.02016 http://dx.doi.org/10.4316/aece.2017.02016 H., BAEK, J., LEE, J., LEE, P., KIM, B. B., KANG, Real-time systems (RTS) are characterized by tasks executing in a timely manner to meet its deadlines as a real-time constraint. Most studies of RTS have focused on these criteria as primary design points. However, recent increases in security threats to various real-time systems have shown that enhanced security support must be included as an important design point, retro-fitting such support to existing systems as necessary. In this paper, we propose a new pre-flush technique referred to as flush task reservation for FP scheduling (FTR-FP) to conditionally sanitize the state of resources shared by real-time tasks by invoking a flush task (FT) in order to mitigate information leakage/corruption of real-time systems. FTR-FP extends existing works exploiting FTs to be applicable more general scheduling algorithms and security model. We also propose modifications to existing real-time scheduling algorithms to implement a pre-flush technique as a security constraint, and analysis technique to verify schedulability of the real-time scheduling. For better analytic capability, our analysis technique provides a count of the precise number of preemptions that a task experiences offline. Our evaluation results demonstrate that our proposed schedulability analysis improves the performance of existing scheduling algorithms in terms of schedulability and preemption cost. Wed, 31 May 2017 00:00:00 +0300 An Adaptive Parameter Estimation in a BTV Regularized Image Super-Resolution Reconstruction http://dx.doi.org/10.4316/aece.2017.03001 http://dx.doi.org/10.4316/aece.2017.03001 M., MOFIDI, H., HAJGHASSEM, A., AFIFI, Access to the fine spatial resolution has always been a hotspot in digital imaging. One way to improve resolution is to use signal post-processing techniques. In this study, an improved multi-frame image super-resolution (SR) algorithm is proposed. The objective function should be minimized consists of a data error term, a regularization term and a regularization parameter. Based on the bilateral-total-variation (BTV) regularization, in the proposed method on one hand, the data error term incorporates frames with high accuracies in the reconstruction process, where an indicator weights each frame proportional to the frame error. On the other hand the regularization parameter is updated in each iteration based upon the Morozov's discrepancy principle. Iterative adjustment of the regularization parameter guarantees the SR solution to satisfy discrepancy principle. Visual evaluation and also quantitative measurements show that the performance of the proposed algorithm is better than of the several state-of-the-art methods. Thu, 31 Aug 2017 00:00:00 +0300 Vacancy Induced Energy Band Gap Changes of Semiconducting Zigzag Single Walled Carbon Nanotubes http://dx.doi.org/10.4316/aece.2017.03002 http://dx.doi.org/10.4316/aece.2017.03002 G., DERELI, O., EYECIOGLU, B. S., MISIRLIOGLU, In this work, we have examined how the multi-vacancy defects induced in the horizontal direction change the energetics and the electronic structure of semiconducting Single-Walled Carbon Nanotubes (SWCNTs). The electronic structure of SWCNTs is computed for each deformed configuration by means of real space, Order(N) Tight Binding Molecular Dynamic (O(N) TBMD) simulations. Energy band gap is obtained in real space through the behavior of electronic density of states (eDOS) near the Fermi level. Vacancies can effectively change the energetics and hence the electronic structure of SWCNTs. In this study, we choose three different kinds of semiconducting zigzag SWCNTs and determine the band gap modifications. We have selected (12,0), (13,0) and (14,0) zigzag SWCNTs according to n (mod 3) = 0, n (mod 3) = 1 and n (mod 3) = 2 classification. (12,0) SWCNT is metallic in its pristine state. The application of vacancies opens the electronic band gap and it goes up to 0.13 eV for a di-vacancy defected tube. On the other hand (13,0) and (14,0) SWCNTs are semiconductors with energy band gap values of 0.44 eV and 0.55 eV in their pristine state, respectively. Their energy band gap values decrease to 0.07 eV and 0.09 eV when mono-vacancy defects are induced in their horizontal directions. Then the di-vacancy defects open the band gap again. So in both cases, the semiconducting-metallic - semiconducting transitions occur. It is also shown that the band gap modification exhibits irreversible characteristics, which means that band gap values of the nanotubes do not reach their pristine values with increasing number of vacancies. Thu, 31 Aug 2017 00:00:00 +0300 Decoupled Speed and Torque Control of IPMSM Drives Using a Novel Load Torque Estimator http://dx.doi.org/10.4316/aece.2017.03003 http://dx.doi.org/10.4316/aece.2017.03003 M., ZAKY, E., ELATTAR, M., METWALY, This paper proposes decoupled speed and torque control of interior permanent magnet synchronous motor (IPMSM) drives using a novel load torque estimator (LTE). The proposed LTE is applied for computing a load torque and yielding a feed-forward value in the speed controller to separate the torque control from the speed control. Indirect flux weakening using direct current component is obtained for high speed operation of the IPMSM drive, and its value for maximum torque per ampere (MTPA) control in constant torque region is also used. LTE uses values of direct and quadrature currents to improve the behavior of the speed controller under the reference tracking and torque disturbances. The complete IPMSM drive by Matlab/Simulink is built. The effectiveness of the proposed control scheme using an experimental setup of the complete drive system implemented on a DSP-DS1102 control board is confirmed. Extensive results over a wide speed range are verified. The efficacy of the proposed method is confirmed in comparison to a conventional PI controller under both the reference speed tracking and load torque disturbance. Thu, 31 Aug 2017 00:00:00 +0300 A Proposal for Cardiac Arrhythmia Classification using Complexity Measures http://dx.doi.org/10.4316/aece.2017.03004 http://dx.doi.org/10.4316/aece.2017.03004 D., AROTARITEI, H., COSTIN, A., PASARICA, C., ROTARIU, Cardiovascular diseases are one of the major problems of humanity and therefore one of their component, arrhythmia detection and classification drawn an increased attention worldwide. The presence of randomness in discrete time series, like those arising in electrophysiology, is firmly connected with computational complexity measure. This connection can be used, for instance, in the analysis of RR-intervals of electrocardiographic (ECG) signal, coded as binary string, to detect and classify arrhythmia. Our approach uses three algorithms (Lempel-Ziv, Sample Entropy and T-Code) to compute the information complexity applied and a classification tree to detect 13 types of arrhythmia with encouraging results. To overcome the computational effort required for complexity calculus, a cloud computing solution with executable code deployment is also proposed. Thu, 31 Aug 2017 00:00:00 +0300 A Novel Robust Interacting Multiple Model Algorithm for Maneuvering Target Tracking http://dx.doi.org/10.4316/aece.2017.03005 http://dx.doi.org/10.4316/aece.2017.03005 M., GHAZAL, A., DOUSTMOHAMMADI, In this paper, the state estimation problem for discrete-time jump Markov systems is considered. A minimax filtering technique, interacting multiple model algorithm based on game theory, is developed for discrete-time stochastic systems. Filter performance improvement in presence of model uncertainties, measurement noise, and unknown steering command of the maneuvering target is illustrated. It is shown that the technique presented in this paper has a better performance in comparison with the traditional Kalman filter with minimum estimation error criterion for the case of worst possible steering command of target. In particular, simulation results illustrate the improved performance of the proposed filter compared to Interacting Multiple Model (IMM), diagonal-matrix-weight IMM (DIMM), and IMM based on (IMMH) filters. Thu, 31 Aug 2017 00:00:00 +0300 A New V2G Control Strategy for Load Factor Improvement Using Smoothing Technique http://dx.doi.org/10.4316/aece.2017.03006 http://dx.doi.org/10.4316/aece.2017.03006 P., CHANHOM, S., NUILERS, N., HATTI, This paper proposes a new vehicle-to-grid (V2G) control strategy for improving the load factor in the power network. To operate the proposed strategy, the available storage capacity of the PEVs batteries is considered as a battery energy storage system (BESS) for charging and discharging an amount of power corresponding to the V2G power command. Due to the remarkable advantages of the technique so-called simple moving average, it is selected for applying in the proposed V2G control strategy. In this research, for investigating the load factor improvement, the essential data including the daily-load profiles with 7-day and 14-day periods are used for the 3 studied cases. These 3 studied cases present the power network with variation of the PEVs locations for describing the PEVs usage and charging or discharging behavior. The performance of the proposed strategy is simulated and verified by the MATPOWER software. The simulation results show that the load factors of the 3 studied cases are improved. Moreover, the encouragement of energy arbitrage for the PEVs owners is also discussed in this paper. Thu, 31 Aug 2017 00:00:00 +0300 A Differential Particle Swarm Optimization-based Support Vector Machine Classifier for Fault Diagnosis in Power Distribution Systems http://dx.doi.org/10.4316/aece.2017.03007 http://dx.doi.org/10.4316/aece.2017.03007 M. Y., CHO, T. T., HOANG, This paper proposes a new differential particle swarm optimization (DPSO) method for obtaining optimum support vector machine (SVM) parameters used for electrical fault diagnosis in radial distribution systems. Further, a multiple-stage DPSO-SVM classifier is developed to enhance classification accuracy in the fault diagnosis. Also, time-domain reflectometry (TDR) method with pseudo-random binary sequence (PRBS) excitation is utilized for generating the dataset required for validating this proposed approach. According to the characteristic of echo responses found in different types of faults, 12 features are extracted as input vectors for purposes of classification. The proposed fault diagnosis approach is tested on a typical radial distribution system to classify ten types of short-circuit faults accurately. Further, to demonstrate the superiority of the proposed DPSO algorithm, comparative studies of fault diagnosis are performed using SVM having parameters selected using cross-validation, GA and PSO. The overall classification accuracy obtained for fault diagnosis is 98.5%, which shows the effectiveness of the proposed approach. Thu, 31 Aug 2017 00:00:00 +0300 Research and Implementation of a USB Interfaced Real-Time Power Quality Disturbance Classification System http://dx.doi.org/10.4316/aece.2017.03008 http://dx.doi.org/10.4316/aece.2017.03008 M., GOK, I., SEFA, In this study, the research and implementation of an automatic power quality (PQ) recognition system are presented. This system contains a USB interfaced multichannel data acquisition (DAQ) device and a graphical user interfaced (GUI) application. The DAQ device consists of an analog-to-digital (ADC) converter, field programmable gate array (FPGA) and a USB first in first out (FIFO) buffer interface chip. The application employs Stockwell Transform (ST) technique combined with neural network model to build the classifier. Eight basic and two combined PQ disturbances are determined for the classification. Different from the previous studies, the synthetic signals used for neural network training are modified by adding the harmonics detected in the real signal. This approach is used to increase the classifier accuracy against the real line power signal. Also, ST is simplified by using only the frequencies which are required in the feature extraction step to reduce the processing time. Developed application handles the signal processing, the classification, and the database recording tasks by using multi-threaded programming approach under the mean time of 41 ms. The experimental results show that the proposed power quality disturbance detection system is capable of recognizing and reporting power quality faults effectively within the real-time requirements. Thu, 31 Aug 2017 00:00:00 +0300 Location Authentication based on Wireless Access Point Information to Prevent Wormhole Attack in Samsung Pay http://dx.doi.org/10.4316/aece.2017.03009 http://dx.doi.org/10.4316/aece.2017.03009 G., RYU, C., SEO, D., CHOI, This paper proposes a location authentication method to prevent wormhole payment attack in Samsung Pay. The primary feature of this method is comparing wireless Access Point (AP) information collected by the current Samsung Pay user and a wireless AP model (WM) that was created from wireless AP information (WI) sent by previous Samsung Pay users. To create the WM, an autoencoder is used. Unlike the existing location authentication techniques that use WI, our method does not require additional hardware, modification of the Point of Sale (POS) software, or any pre-requisite information such as the location coordinates of the POS. We show that the proposed location authentication technique exhibits the minimum Equal Error Rate (EER) of 2.4% in real payment environments. Thu, 31 Aug 2017 00:00:00 +0300 Enhanced Interrupt Response Time in the nMPRA based on Embedded Real Time Microcontrollers http://dx.doi.org/10.4316/aece.2017.03010 http://dx.doi.org/10.4316/aece.2017.03010 N. C., GAITAN, In any real-time operating system, task switching and scheduling, interrupts, synchronization and communication between processes, represent major problems. The implementation of these mechanisms through software generates significant delays for many applications. The nMPRA (Multi Pipeline Register Architecture) architecture is designed for the implementation of real-time embedded microcontrollers. It supports the competitive execution of n tasks, enabling very fast switching between them, with a usual delay of one machine cycle and a maximum of 3 machine cycles, for the memory-related work instructions. This is because each task has its own PC (Program Counter), set of pipeline registers and a general registers file. The nMPRA is provided with an advanced distributed interrupt controller that implements the concept of interrupts as threads. This allows the attachment of one or more interrupts to the same task. In this context, the original contribution of this article is to presents the solutions for improving the response time to interrupts when a task has attached a large number of interrupts. The proposed solutions enhance the original architecture for interrupts logic in order to transfer control, to the interrupt handler as soon as possible, and to create an interrupt prioritization at task level. Thu, 31 Aug 2017 00:00:00 +0300 Repeating Successful Movement Strategy for ABC Algorithm http://dx.doi.org/10.4316/aece.2017.03011 http://dx.doi.org/10.4316/aece.2017.03011 B., KOCER, ABC is a well-known nature inspired algorithm. In short ABC algorithm mimics the foraging behavior of the bee colonies. ABC is very intensively worked algorithm. It has many variants. The base algorithm and most of the variants uses an update equation to improve the solutions. The update equation finds a feasible movement based on neighbor solutions and adds that movement to current to create a mutant solution. If the mutant solution is better than the original one then original solution is updated. None of the ABC variant use a successful movement again. In this work when a successful move found then it is used again. Proposed approach is applied to ABCVSS algorithm which is a recently proposed ABC variant and that modified ABCVSS algorithm (ABCVSSRSM) is tested on numerical benchmark functions and results compared the well-known ABC variants. Results show that proposed method is superior under multiple criteria. Thu, 31 Aug 2017 00:00:00 +0300 Novel TPPO Based Maximum Power Point Method for Photovoltaic System http://dx.doi.org/10.4316/aece.2017.03012 http://dx.doi.org/10.4316/aece.2017.03012 M. A., ABBASI, M. F., ZIA, Photovoltaic (PV) system has a great potential and it is installed more when compared with other renewable energy sources nowadays. However, the PV system cannot perform optimally due to its solid reliance on climate conditions. Due to this dependency, PV system does not operate at its maximum power point (MPP). Many MPP tracking methods have been proposed for this purpose. One of these is the Perturb and Observe Method (P&O) which is the most famous due to its simplicity, less cost and fast track. But it deviates from MPP in continuously changing weather conditions, especially in rapidly changing irradiance conditions. A new Maximum Power Point Tracking (MPPT) method, Tetra Point Perturb and Observe (TPPO), has been proposed to improve PV system performance in changing irradiance conditions and the effects on characteristic curves of PV array module due to varying irradiance are delineated. The Proposed MPPT method has shown better results in increasing the efficiency of a PV system. Thu, 31 Aug 2017 00:00:00 +0300 Centralized Gap Clearance Control for Maglev Based Steel-Plate Conveyance System http://dx.doi.org/10.4316/aece.2017.03013 http://dx.doi.org/10.4316/aece.2017.03013 O. F., GUNEY, A. F., BOZKURT, K., ERKAN, The conveyance of steel-plates is one of the potential uses of the magnetic levitation technology in industry. However, the electromagnetic levitation systems inherently show nonlinear feature and are unstable without an active control. Well-known U-shaped or E-shaped electromagnets cannot provide redundant levitation with multiple degrees of freedom. In this paper, to achieve the full redundant levitation of the steel plate, a quadruple configuration of U shaped electromagnets has been proposed. To resolve the issue of instability and attain more robust levitation, a centralized control algorithm based on a modified PID controller (I PD) is designed for each degree of freedom by using the Manabe canonical polynomial technique. The model of the system is carried out using electromechanical energy conversion principles and verified by 3-D FEM analysis. An experimental bench is built up to test the system performance under trajectory tracking and external disturbance excitation. The results confirm the effectiveness of the proposed system and the control approach to obtain a full redundant levitation even in case of disturbances. The paper demonstrates the feasibility of the conveyance of steel plates by using the quadruple configuration of U-shaped electromagnets and shows the merits of I-PD controller both in stabilization and increased robust levitation. Thu, 31 Aug 2017 00:00:00 +0300 Wind Speed Prediction with Wavelet Time Series Based on Lorenz Disturbance http://dx.doi.org/10.4316/aece.2017.03014 http://dx.doi.org/10.4316/aece.2017.03014 Y., ZHANG, P., WANG, P., CHENG, S., LEI, Due to the sustainable and pollution-free characteristics, wind energy has been one of the fastest growing renewable energy sources. However, the intermittent and random fluctuation of wind speed presents many challenges for reliable wind power integration and normal operation of wind farm. Accurate wind speed prediction is the key to ensure the safe operation of power system and to develop wind energy resources. Therefore, this paper has presented a wavelet time series wind speed prediction model based on Lorenz disturbance. Therefore, in this paper, combined with the atmospheric dynamical system, a wavelet-time series improved wind speed prediction model based on Lorenz disturbance is proposed and the wind turbines of different climate types in Spain and China are used to simulate the disturbances of Lorenz equations with different initial values. The prediction results show that the improved model can effectively correct the preliminary prediction of wind speed, improving the prediction. In a word, the research work in this paper will be helpful to arrange the electric power dispatching plan and ensure the normal operation of the wind farm. Thu, 31 Aug 2017 00:00:00 +0300 Centroid Update Approach to K-Means Clustering http://dx.doi.org/10.4316/aece.2017.04001 http://dx.doi.org/10.4316/aece.2017.04001 I.-D., BORLEA, R.-E., PRECUP, F., DRAGAN, A.-B., BORLEA, The volume and complexity of the data that is generated every day increased in the last years in an exponential manner. For processing the generated data in a quicker way the hardware capabilities evolved and new versions of algorithms were created recently, but the existing algorithms were improved and even optimized as well. This paper presents an improved clustering approach, based on the classical k-means algorithm, and referred to as the centroid update approach. The new centroid update approach formulated as an algorithm and included in the k-means algorithm reduces the number of iterations that are needed to perform a clustering process, leading to an alleviation of the time needed for processing a dataset. Thu, 30 Nov 2017 00:00:00 +0200 Load Balancing of Large Distribution Network Model Calculations http://dx.doi.org/10.4316/aece.2017.04002 http://dx.doi.org/10.4316/aece.2017.04002 L., MARTINOVIC, D., CAPKO, A., ERDELJAN, Performance measurement and evaluation study of calculations based on load flow analysis in power distribution network is presented. The focus is on the choice of load index as it is the basic input for efficient dynamic load balancing. The basic description of problem along with the proposed architecture is given. Different server resources are inspected and analyzed while running calculations, and based on this investigation, recommendations regarding the choice of load index are made. Short description of used static and dynamic load balancing algorithms is given and the proposition of load index choice is supported by tests run on large real-world power distribution network models. Thu, 30 Nov 2017 00:00:00 +0200 Mobile@Old: A Smart Home Platform for Enhancing the Elderly Mobility http://dx.doi.org/10.4316/aece.2017.04003 http://dx.doi.org/10.4316/aece.2017.04003 I., MOCANU, O.-A., SCHPOR, B., CRAMARIUC, L., RUSU, Regular physical exercises are widely considered to be a key factor for living a healthy life. In this paper we present Mobile@Old, an integrated platform for assisting elderly people to maintain a healthy lifestyle in their homes. Our aim is to highlight the main concepts, technologies, and findings this system rests on. To this end we integrate Mobile@Old in the general conceptual framework of serious games. We provide details about the designing and implementation of Vital Signs Monitoring (VSM) and Physical Activity Trainer (PAT) components of Mobile@Old. Relevant exercises and utilization scenarios are also presented in order to emphases the practical applicability of our approach. We evaluate the usability of platform using the System Usability Scale (SUS). Experimental data regarding the accuracy of whole body movements are also presented Thu, 30 Nov 2017 00:00:00 +0200 Power System Stability Improvement through the Coordination of TCPS-based Damping Controller and Power System Stabilizer http://dx.doi.org/10.4316/aece.2017.04004 http://dx.doi.org/10.4316/aece.2017.04004 M. A. S., ALI, K. K., MEHMOOD, C.-H., KIM, To guarantee the secure and reliable operations of power systems through the rapid damping of low-frequency electromechanical oscillations (LFEOs) is the ultimate objective of this study. This paper presents a coordination of a flexible AC transmission system (FACTS) device and power system stabilizer (PSS) to meet this objective, and deals with the design of a damping controller based on a thyristor-controlled phase shifter (TCPS) and a PSS. The proposed design is incorporated in the framework of a single-machine infinite-bus (SMIB) power system. The effectiveness of the proposed design in damping power system oscillations is explored through eigenvalue analysis, time-domain simulations and damping torque contribution. A comparative study on different control schemes, such as with an SMIB including a PSS and an SMIB including a TCPS-based damping controller is also carried out. The obtained results prove the superior performance of the proposed design in improving the stability of the given power system. All the digital simulations are performed using MATLAB/ SIMULINK. Thu, 30 Nov 2017 00:00:00 +0200 Fault Localization for Synchrophasor Data using Kernel Principal Component Analysis http://dx.doi.org/10.4316/aece.2017.04005 http://dx.doi.org/10.4316/aece.2017.04005 R., CHEN, X., SUN, G., LIU, In this paper, based on Kernel Principal Component Analysis (KPCA) of Phasor Measurement Units (PMU) data, a nonlinear method is proposed for fault location in complex power systems. Resorting to the scaling factor, the derivative for a polynomial kernel is obtained. Then, the contribution of each variable to the T2 statistic is derived to determine whether a bus is the fault component. Compared to the previous Principal Component Analysis (PCA) based methods, the novel version can combat the characteristic of strong nonlinearity, and provide the precise identification of fault location. Computer simulations are conducted to demonstrate the improved performance in recognizing the fault component and evaluating its propagation across the system based on the proposed method. Thu, 30 Nov 2017 00:00:00 +0200 Single-Phase Direct Boost AC-AC Converter http://dx.doi.org/10.4316/aece.2017.04006 http://dx.doi.org/10.4316/aece.2017.04006 O., URSARU, M., LUCANU, C., AGHION, N., LUCANU, This paper introduces and studies a boost AC-AC converter circuit that can be used to supply power to the 220V receivers in the 110V grids or to increase and adjust voltage at the end of long lines. High frequency AC-AC converters have better specifications than alternative voltage phase control drives with thyristors or TRIACs. When frequency exceeds 20kHz, noise is eliminated, filters are smaller and efficiency is higher. The current waveform is much better, the output voltage can be higher than the input voltage and voltage control is more accurate. Thu, 30 Nov 2017 00:00:00 +0200 Five Level Cascaded H-Bridge D-STATCOM using a new Fuzzy and PI Controllers model for Wind Energy Systems http://dx.doi.org/10.4316/aece.2017.04007 http://dx.doi.org/10.4316/aece.2017.04007 K., YANMAZ, I. H., ALTAS, O. O., MENGI, Power quality is one of the important issues in wind energy systems as in all renewable energy systems. Reactive component of current in distribution systems causes negative effects on the network, including power loses, voltage drop, and reduced line capacity. Static Synchronous Compensator (STATCOM) has been used increasingly instead of conventional devices such as switched capacitor groups and Static Var Compensator (SVC) to improve the power quality. Flexible AC Transmission System (FACTS) devices such as STATCOM are also used in power distribution systems and called Distribution STATCOM (D-STATCOM). D-STATCOM is used to improve the power quality in distribution systems as an inverter based device. Fixed parameter conventional PI controllers are usually used to control D-STATCOM devices. D-STATCOM device used in a wind power distribution system has a voltage-controlled inverter structure based on a five-level H-bridge topology. A new indirect current control scheme based on synchronous reference frame theory is proposed to produce gate pulses that are needed for the inverter. A fuzzy adaptive PI controller (FLCM-PI) is designed and used in the control scheme such that the parameters of the PI controller are modified by a fuzzy logic controller (FLC) to adapt the operation for changing conditions. The D-STATCOM topology with the proposed controller is simulated and experimentally tested. Thu, 30 Nov 2017 00:00:00 +0200 Particle Swarm Optimization with Power-Law Parameter Based on the Cross-Border Reset Mechanism http://dx.doi.org/10.4316/aece.2017.04008 http://dx.doi.org/10.4316/aece.2017.04008 H., WANG, Y., FEI, Y., LI, S., REN, J., CHE, H., XU, In order to improve the performance of traditional particle swarm optimization, this paper introduces the principle of Levy flight and cross-border reset mechanism. In the proposed particle swarm optimization, the dynamic variation of parameters meets the power-law distribution and the pattern of particles transition conforms to the Levy flight in the process of algorithm optimization. It means the particles make long distance movements in the search space with a small probability and make short distance movements with a large probability. Therefore, the particles can jump out of local optimum more easily and coordinate the global search and local search of particle swarm optimization. This paper also designs the cross-border reset mechanism to make particles regain optimization ability when stranding on the border of search space after a long distance movement. The simulation results demonstrate the proposed algorithms are easier to jump out of local optimum and have higher accuracy when compared with the existing similar algorithms based on benchmark test functions and handwriting character recognition system. Thu, 30 Nov 2017 00:00:00 +0200 Genetically Optimization of an Asymmetrical Fuzzy Logic Based Photovoltaic Maximum Power Point Tracking Controller http://dx.doi.org/10.4316/aece.2017.04009 http://dx.doi.org/10.4316/aece.2017.04009 A., AL-GIZI, S., AL-CHLAIHAWI, M., LOUZAZNI, A., CRACIUNESCU, This paper introduces a new fuzzy logic controller (FLC) based photovoltaic (PV) maximum power point tracking (MPPT) optimized with the genetic algorithm (GA). Four FLCs with five and seven numbers of triangular (tri) and generalized bell (g-bell) membership functions (MFs) are analyzed. The performances of the analyzed algorithms have been compared with the appropriate performances of the classical perturb and observe (P&O) algorithm by using the following criteria: the rise time (tr), the tracking accuracy of the output power, and the energy yield. The results showed that the FL-based PV MPPT controller with seven triangular (7-tri) MFs provides the best steady-state performances. Thu, 30 Nov 2017 00:00:00 +0200 K-Linkage: A New Agglomerative Approach for Hierarchical Clustering http://dx.doi.org/10.4316/aece.2017.04010 http://dx.doi.org/10.4316/aece.2017.04010 P., YILDIRIM, D., BIRANT, In agglomerative hierarchical clustering, the traditional approaches of computing cluster distances are single, complete, average and centroid linkages. However, single-link and complete-link approaches cannot always reflect the true underlying relationship between clusters, because they only consider just a single pair between two clusters. This situation may promote the formation of spurious clusters. To overcome the problem, this paper proposes a novel approach, named k-Linkage, which calculates the distance by considering k observations from two clusters separately. This article also introduces two novel concepts: k-min linkage (the average of k closest pairs) and k-max linkage (the average of k farthest pairs). In the experimental studies, the improved hierarchical clustering algorithm based on k-Linkage was executed on five well-known benchmark datasets with varying k values to demonstrate its efficiency. The results show that the proposed k-Linkage method can often produce clusters with better accuracy, compared to the single, complete, average and centroid linkages. Thu, 30 Nov 2017 00:00:00 +0200 Developing Automatic Multi-Objective Optimization Methods for Complex Actuators http://dx.doi.org/10.4316/aece.2017.04011 http://dx.doi.org/10.4316/aece.2017.04011 R., CHIS, L., VINTAN, This paper presents the analysis and multiobjective optimization of a magnetic actuator. By varying just 8 parameters of the magnetic actuators model the design space grows to more than 6 million configurations. Much more, the 8 objectives that must be optimized are conflicting and generate a huge objectives space, too. To cope with this complexity, we use advanced heuristic methods for Automatic Design Space Exploration. FADSE tool is one Automatic Design Space Exploration framework including different state of the art multi-objective meta-heuristics for solving NP-hard problems, which we used for the analysis and optimization of the COMSOL and MATLAB model of the magnetic actuator. We show that using a state of the art genetic multi-objective algorithm, response surface modelling methods and some machine learning techniques, the timing complexity of the design space exploration can be reduced, while still taking into consideration objective constraints so that various Pareto optimal configurations can be found. Using our developed approach, we were able to decrease the simulation time by at least a factor of 10, compared to a run that does all the simulations, while keeping prediction errors to around 1%. Thu, 30 Nov 2017 00:00:00 +0200 Distributed Reactive Power Control based Conservation Voltage Reduction in Active Distribution Systems http://dx.doi.org/10.4316/aece.2017.04012 http://dx.doi.org/10.4316/aece.2017.04012 S., EMIROGLU, Y., UYAROGLU, G., OZDEMIR, This paper proposes a distributed reactive power control based approach to deploy Volt/VAr optimization (VVO) / Conservation Voltage Reduction (CVR) algorithm in a distribution network with distributed generations (DG) units and distribution static synchronous compensators (D-STATCOM). A three-phase VVO/CVR problem is formulated and the reactive power references of D-STATCOMs and DGs are determined in a distributed way by decomposing the VVO/CVR problem into voltage and reactive power control. The main purpose is to determine the coordination between voltage regulator (VR) and reactive power sources (Capacitors, D-STATCOMs and DGs) based on VVO/CVR. The study shows that the reactive power injection capability of DG units may play an important role in VVO/CVR. In addition, it is shown that the coordination of VR and reactive power sources does not only save more energy and power but also reduces the power losses. Moreover, the proposed VVO/CVR algorithm reduces the computational burden and finds fast solutions. To illustrate the effectiveness of the proposed method, the VVO/CVR is performed on the IEEE 13-node test system feeder considering unbalanced loading and line configurations. The tests are performed taking the practical voltage-dependent load modeling and different customer types into consideration to improve accuracy. Thu, 30 Nov 2017 00:00:00 +0200 A Novel Secure and Robust Image Watermarking Method Based on Decorrelation of Channels, Singular Vectors, and Values http://dx.doi.org/10.4316/aece.2017.04013 http://dx.doi.org/10.4316/aece.2017.04013 M., IMRAN, B. A., HARVEY, A novel secure and robust image watermarking technique for color images is presented in this paper. Besides robustness and imperceptibility (which are the most important requisites of any watermarking scheme), there are two other challenges a good watermarking scheme must meet: security and capacity. Therefore, in devising the presented scheme, special consideration is also given to above-mentioned requirements. In order to do so, principal component analysis is involved to enhance imperceptibility and the unique utilization of singular value decomposition is done to achieve better performance in regard to capacity and robustness. Finally, a novel method is proposed to select constituents of an image for watermark embedding, which further improves the security. As a consequence, four essential requisites of a good watermarking scheme are achieved as visible from experimental results. To measure the behavior of presented watermarking scheme, a number of experiments were conducted by utilizing several color images as host images and as watermarks. The presented technique is compared with the latest available watermarking techniques and attained better results than them. Thu, 30 Nov 2017 00:00:00 +0200 k-Degree Anonymity Model for Social Network Data Publishing http://dx.doi.org/10.4316/aece.2017.04014 http://dx.doi.org/10.4316/aece.2017.04014 K. R., MACWAN, S. J., PATEL, Publicly accessible platform for social networking has gained special attraction because of its easy data sharing. Data generated on such social network is analyzed for various activities like marketing, social psychology, etc. This requires preservation of sensitive attributes before it becomes easily accessible. Simply removing the personal identities of the users before publishing data is not enough to maintain the privacy of the individuals. The structure of the social network data itself reveals much information regarding its users and their connections. To resolve this problem, k-degree anonymous method is adopted. It emphasizes on the modification of the graph to provide at least k number of nodes that contain the same degree. However, this approach is not efficient on a huge amount of social data and the modification of the original data fails to maintain data usefulness. In addition to this, the current anonymization approaches focus on a degree sequence-based graph model which leads to major modification of the graph topological properties. In this paper, we have proposed an improved k-degree anonymity model that retain the social network structural properties and also to provide privacy to the individuals. Utility measurement approach for community based graph model is used to verify the performance of the proposed technique. Thu, 30 Nov 2017 00:00:00 +0200 Active IR System for Projectile Detection and Tracking http://dx.doi.org/10.4316/aece.2017.04015 http://dx.doi.org/10.4316/aece.2017.04015 I., STANCIC, M., BUGARIC, T., PERKOVIC, Reliable detection and tracking of high-speed projectiles is crucial in providing modern battlefield protection or to be used as a forensic tool. Subsonic projectiles fired from silenced weapons are difficult to detect, whereas reliable tracking of the projectile trajectory is hard to accomplish. Contemporary radar based counter-battery systems showed to be valuable in detection of incoming artillery fire, but are unable to provide detection at close ranges. In this paper, an active IR system is proposed that aims to detect and track incoming projectiles at close ranges. Proposed system is able to reconstruct projectiles trajectory in space, predict impact location and estimate direction of projectile origin. Active detector system is based on a pair of high-speed cameras in stereo-configuration synced with computer and IR illuminator that emits coded IR light bursts. Innovative IR light coding enables automated detection and tracking of a nearby projectile and elimination of false positive alarms caused by distant objects. Thu, 30 Nov 2017 00:00:00 +0200 Ubiquity of Wi-Fi: Crowdsensing Properties for Urban Fingerprint Positioning http://dx.doi.org/10.4316/aece.2017.04016 http://dx.doi.org/10.4316/aece.2017.04016 C. L., LECA, Positioning systems based on location fingerprinting have become an area of intense research, mainly with the aim of providing indoor localization. Many challenges arise when trying to deploy location fingerprinting to an outdoor environment. The main problem is achieving coverage of large outdoor spaces, which needs an intensive data gathering effort. This paper proposes the use of mobile crowdsensing in order to build a fingerprint database consisting of Wi-Fi networks received signal strength measurements. Mobile crowdsensing is represented by the usage of smart-phones equipped with GPS and Wi-Fi sensors for the collection of fingerprints. The primary objective of this work is to prove the feasibility of urban positioning using Wi-Fi crowdsensed data by showing that Wi-Fi networks are ubiquitous in urban areas. We then examine the gathered data and report our findings on challenges in building and maintaining a large-scale fingerprint database, the influence of the data collection method on the Wi-Fi data and the influence of fading on measurements. As Wi-Fi access-points are shown to exhibit mobility, we also propose and analyze methods for detecting and classification of mobile and static access-points. Thu, 30 Nov 2017 00:00:00 +0200 Fuzzy Integral and Cuckoo Search Based Classifier Fusion for Human Action Recognition http://dx.doi.org/10.4316/aece.2018.01001 http://dx.doi.org/10.4316/aece.2018.01001 I., AYDIN, The human activity recognition is an important issue for sports analysis and health monitoring. The early recognition of human actions is used in areas such as detection of criminal activities, fall detection, and action recognition in rehabilitation centers. Especially, the detection of the falls in elderly people is very important for rapid intervention. Mobile phones can be used for action recognition with their built-in accelerometer sensor. In this study, a new combined method based on fuzzy integral and cuckoo search is proposed for classifying human actions. The signals are acquired from three axes of acceleration sensor of a mobile phone and the features are extracted by applying signal processing methods. Our approach utilizes from linear discriminant analysis (LDA), support vector machines (SVM), and neural networks (NN) techniques and aggregates their outputs by using fuzzy integral. The cuckoo search method adjusts the parameters for assignment of optimal confidence levels of the classifiers. The experimental results show that our model provides better performance than the individual classifiers. In addition, appropriate selection of the confidence levels improves the performance of the combined classifiers. Wed, 28 Feb 2018 00:00:00 +0200 Real-time Multiresolution Crosswalk Detection with Walk Light Recognition for the Blind http://dx.doi.org/10.4316/aece.2018.01002 http://dx.doi.org/10.4316/aece.2018.01002 K., ROMIC, I., GALIC, H., LEVENTIC, K., NENADIC, Real-time image processing and object detection techniques have a great potential to be applied in digital assistive tools for the blind and visually impaired persons. In this paper, algorithm for crosswalk detection and walk light recognition is proposed with the main aim to help blind person when crossing the road. The proposed algorithm is optimized to work in real-time on portable devices using standard cameras. Images captured by camera are processed while person is moving and decision about detected crosswalk is provided as an output along with the information about walk light if one is present. Crosswalk detection method is based on multiresolution morphological image processing, while the walk light recognition is performed by proposed 6-stage algorithm. The main contributions of this paper are accurate crosswalk detection with small processing time due to multiresolution processing and the recognition of the walk lights covering only small amount of pixels in image. The experiment is conducted using images from video sequences captured in realistic situations on crossings. The results show 98.3% correct crosswalk detections and 89.5% correct walk lights recognition with average processing speed of about 16 frames per second. Wed, 28 Feb 2018 00:00:00 +0200 Active Frequency Stabilization Method for Sensitive Applications Operating in Variable Temperature Environments http://dx.doi.org/10.4316/aece.2018.01003 http://dx.doi.org/10.4316/aece.2018.01003 A., DONE, A.-M., CAILEAN, A., GRAUR, This article proposes a cost efficient and easy to implement frequency stabilization method orientated toward communication systems operating in an extensive temperature range, as the automotive or the aerospace applications. The proposed solution uses off-the-shelf components and it is optimized for very low power consumption. The novelty of this article is represented by the introduction of the barium strontium titanate capacitor for quartz crystal oscillator active frequency stabilization. After the design was completed, the performances were evaluated and compared to the ones of the uncompensated oscillator. Experimental results confirmed the suitability of the proposed design, achieving 35 times better frequency stability within variable temperature conditions, whereas the power consumption is maintained below 6mW. Wed, 28 Feb 2018 00:00:00 +0200 An Automatic Instruction-Level Parallelization of Machine Code http://dx.doi.org/10.4316/aece.2018.01004 http://dx.doi.org/10.4316/aece.2018.01004 V., MARINKOVIC, M., POPOVIC, M., DJUKIC, Prevailing multicores and novel manycores have made a great challenge of modern day - parallelization of embedded software that is still written as sequential. In this paper, automatic code parallelization is considered, focusing on developing a parallelization tool at the binary level as well as on the validation of this approach. The novel instruction-level parallelization algorithm for assembly code which uses the register names after SSA to find independent blocks of code and then to schedule independent blocks using METIS to achieve good load balance is developed. The sequential consistency is verified and the validation is done by measuring the program execution time on the target architecture. Great speedup, taken as the performance measure in the validation process, and optimal load balancing are achieved for multicore RISC processors with 2 to 16 cores (e.g. MIPS, MicroBlaze, etc.). In particular, for 16 cores, the average speedup is 7.92x, while in some cases it reaches 14x. An approach to automatic parallelization provided by this paper is useful to researchers and developers in the area of parallelization as the basis for further optimizations, as the back-end of a compiler, or as the code parallelization tool for an embedded system. Wed, 28 Feb 2018 00:00:00 +0200 FEM Based Multi-Criterion Design and Implementation of a PM Synchronous Wind Generator by Fully Coupled Co-Simulation http://dx.doi.org/10.4316/aece.2018.01005 http://dx.doi.org/10.4316/aece.2018.01005 C., OCAK, D., UYGUN, I., TARIMER, This study deals with analyzing, designing and fabricating of a 1 kW PM synchronous generator for gearless and direct drive off-grid wind turbines. Performance characteristics of this generator have been calculated analytically in collaboration with dynamic transient coupled-field analysis. All specifications of the PMSG have been investigated and optimized by using finite element method and parametric multi-criterion design approach. At the end of research, a prototype has been fabricated based on the optimized dimensions. Furthermore, the analytical calculations present along with experimental studies carried out for different shaft speeds and load levels. The comparative experimental studies have verified effectiveness of the optimized designing and dynamic co-simulations. Wed, 28 Feb 2018 00:00:00 +0200 Fault Ride Through Capability Enhancement of a Large-Scale PMSG Wind System with Bridge Type Fault Current Limiters http://dx.doi.org/10.4316/aece.2018.01006 http://dx.doi.org/10.4316/aece.2018.01006 M. S., ALAM, M. A. Y., ABIDO, In this paper, bridge type fault current limiter (BFCL) is proposed as a potential solution to the fault problems of permanent magnet synchronous generator (PMSG) based large-scale wind energy system. As PMSG wind system is more vulnerable to disturbances, it is essential to guarantee the stability during severe disturbances by enhancing the fault ride through capability. BFCL controller has been designed to insert resistance and inductance during the inception of system disturbances in order to limit fault current. Constant capacitor voltage has been maintained by the grid voltage source converter (GVSC) controller while current extraction or injection has been achieved by machine VSC (MVSC) controller. Symmetrical and unsymmetrical faults have been applied in the system to show the effectiveness of the proposed BFCL solution. PMSG wind system, BFCL and their controllers have been implemented by real time hardware in loop (RTHIL) setup with real time digital simulator (RTDS) and dSPACE. Another significant feature of this work is that the performance of the proposed BFCL is compared with that of series dynamic braking resistor (SDBR). Comparative RTHIL implementation results show that the proposed BFCL is very efficient in improving system fault ride through capability by limiting the fault current and outperforms SDBR. Wed, 28 Feb 2018 00:00:00 +0200 Speed Controlled Belt Conveyors: Drives and Mechanical Considerations http://dx.doi.org/10.4316/aece.2018.01007 http://dx.doi.org/10.4316/aece.2018.01007 M. Z., BEBIC, L. B., RISTIC, The paper presents variable speed belt conveyor system where the reference speed is changed in order to achieve improved energy efficiency of operation. The recorded measurements show that belt tension varies within the same limits as under constant speed operation. These results introduce a new insight of the present state of the art in variable speed belt conveyor drives. The system is realized with remote control from the control center on an open pit mine. The structure of the multi-motor drive system of a single conveyor, as well as of the network-based control system distributed among belt conveyor stations and the control center are shown. Speed control of a belt conveyor system is organized to provide better utilization of the available material cross section on the belt and reduced electrical energy consumption of the drive. The experimental results obtained on the system prove that, under existing constraints, the applied algorithm has not introduced additional stress to the belt or mechanical assemblies during acceleration and deceleration processes, while providing higher energy efficiency of operation. Wed, 28 Feb 2018 00:00:00 +0200 An Ensemble of Classifiers based Approach for Prediction of Alzheimer's Disease using fMRI Images based on Fusion of Volumetric, Textural and Hemodynamic Features http://dx.doi.org/10.4316/aece.2018.01008 http://dx.doi.org/10.4316/aece.2018.01008 F., MALIK, S., FARHAN, M. A., FAHIEM, Alzheimer's is a neurodegenerative disease caused by the destruction and death of brain neurons resulting in memory loss, impaired thinking ability, and in certain behavioral changes. Alzheimer disease is a major cause of dementia and eventually death all around the world. Early diagnosis of the disease is crucial which can help the victims to maintain their level of independence for comparatively longer time and live a best life possible. For early detection of Alzheimer's disease, we are proposing a novel approach based on fusion of multiple types of features including hemodynamic, volumetric and textural features of the brain. Our approach uses non-invasive fMRI with ensemble of classifiers, for the classification of the normal controls and the Alzheimer patients. For performance evaluation, ten-fold cross validation is used. Individual feature sets and fusion of features have been investigated with ensemble classifiers for successful classification of Alzheimer's patients from normal controls. It is observed that fusion of features resulted in improved results for accuracy, specificity and sensitivity. Wed, 28 Feb 2018 00:00:00 +0200 Two-Degrees of Freedom and Variable Structure Controllers for Induction Motor Drives http://dx.doi.org/10.4316/aece.2018.01009 http://dx.doi.org/10.4316/aece.2018.01009 M., ZAKY, E., TOUTI, H., AZAZI, This paper presents a two-degrees-of-Freedom (2DOF) and variable structure control (VSC) schemes for induction motor (IM) drives. The designed VSC incorporates independent feedback and feedforward terms as 2DOF control principle. This structure improves the response of the proposed VSC under speed reference tracking and load disturbance changes. Stability of VSC using Lyapunov theory is discussed. Due to the variable nature of the switching function of VSC, two conditions to ensure Lyapunov stability candidate are derived based on the error signal. A design criterion for the parameters of VSC are introduced to guarantee the stability. The complete IM drive system with the proposed VSC controller is built using MATLAB/Simulink. A laboratory prototype is executed experimentally using DSP-DS1104 control board. All controllers are implemented practically. Simulation and experimental results are provided under different working conditions. Performance evaluation of classic control schemes and the proposed VSC approach is presented. The proposed VSC approach gives superior behavior under speed reference variations and torque disturbances. The disturbances using the proposed controller are strongly suppressed compared to classic 2DOF control scheme. Wed, 28 Feb 2018 00:00:00 +0200 Improving Voltage Profile and Optimal Scheduling of Vehicle to Grid Energy based on a New Method http://dx.doi.org/10.4316/aece.2018.01010 http://dx.doi.org/10.4316/aece.2018.01010 A., NAZARLOO, M. R., FEYZI, M., SABAHI, M. B., BANNAE SHARIFIAN, The electric vehicles (EVs), depending on the charging or discharging modes, can act as flexible loads or as flexible energy sources. Therefore, this paper proposes a method for achieving the following objectives: improvement the voltage profile of the point of common coupling (PCC), control the charging and discharging of EVs in an appropriate scheduling so that at the end of the charging and discharging process all EVs are fully charged, improvement the profiles of active and reactive loads based on the peak shaving and the valley filling, charging rate control and energy management for the economic justification of vehicle to grid (V2G) technology based on the proposed method. Considering that the penetration of EVs and state of charge (SOC) of battery at any time is random, this paper extracts and analyzes the data that is available through national household travel surveys (NHTS). In order to determine the desired parameters, two stochastic algorithms are integrated with Monte Carlo simulations. To prove the performance superiority of the proposed method over conventional methods under high EVs-penetration, an IEEE 14-bus system is used for real-time simulation. Wed, 28 Feb 2018 00:00:00 +0200 Software Solution for a Renewable Energy Microgrid Emulator http://dx.doi.org/10.4316/aece.2018.01011 http://dx.doi.org/10.4316/aece.2018.01011 E., LAZAR, D., PETREUS, R., ETZ, T., PATARAU, The paper presents a software solution and communication network used to implement and test management algorithms for different microgrid configurations. The results obtained are represented in a Graphical User Interface (GUI). Data is transferred between the devices and a central processing unit that has a communication protocol interpreter implemented using an RS-485 network. After being interpreted, the raw data containing useful information for the management algorithm is converted in numerical or Boolean values. These values are stored and used by the management algorithms implemented for cost optimization. A microgrid emulator is used for the proof of concept. The software solution and communication network together with the data interpreter can be easily used for other microgrid structures with or without modifications, depending on the number and types of equipment used. In the presented case the microgrid management control algorithm tries to keep the state of charge of the batteries between two values by using efficiently the available resources depicted by: solar energy, geothermal energy, and energy obtained from biomass. The microgrid setup has emulators for the geothermal and biomass generators and a photovoltaic system with storage capability and two inverters, a grid forming capable and a grid follower. Wed, 28 Feb 2018 00:00:00 +0200 Improved Classification by Non Iterative and Ensemble Classifiers in Motor Fault Diagnosis http://dx.doi.org/10.4316/aece.2018.01012 http://dx.doi.org/10.4316/aece.2018.01012 P. S., PANIGRAHY, P., CHATTOPADHYAY, Data driven approach for multi-class fault diagnosis of induction motor using MCSA at steady state condition is a complex pattern classification problem. This investigation has exploited the built-in ensemble process of non-iterative classifiers to resolve the most challenging issues in this area, including bearing and stator fault detection. Non-iterative techniques exhibit with an average 15% of increased fault classification accuracy against their iterative counterparts. Particularly RF has shown outstanding performance even at less number of training samples and noisy feature space because of its distributive feature model. The robustness of the results, backed by the experimental verification shows that the non-iterative individual classifiers like RF is the optimum choice in the area of automatic fault diagnosis of induction motor. Wed, 28 Feb 2018 00:00:00 +0200 Parameter Improved Particle Swarm Optimization Based Direct-Current Vector Control Strategy for Solar PV System http://dx.doi.org/10.4316/aece.2018.01013 http://dx.doi.org/10.4316/aece.2018.01013 P., NAMMALVAR, S., RAMKUMAR, This paper projects Parameter Improved Particle Swarm Optimization (PIPSO) based direct current vector control technology for the integration of photovoltaic array in an AC micro-grid to enhance the system performance and stability. A photovoltaic system incorporated with AC micro-grid is taken as the pursuit of research study. The test system features two power converters namely, PV side converter which consists of DC-DC boost converter with Perturbation and Observe (P&O) MPPT control to reap most extreme power from the PV array, and grid side converter which consists of Grid Side-Voltage Source Converter (GS-VSC) with proposed direct current vector control strategy. The gain of the proposed controller is chosen from a set of three values obtained using apriori test and tuned through the PIPSO algorithm so that the Integral of Time multiplied Absolute Error (ITAE) between the actual and the desired DC link capacitor voltage reaches a minimum and allows the system to extract maximum power from PV system, whereas the existing d-q control strategy is found to perform slowly to control the DC link voltage under varying solar insolation and load fluctuations. From simulation results, it is evident that the proposed optimal control technique provides robust control and improved efficiency. Wed, 28 Feb 2018 00:00:00 +0200 A Novel Approach for Bi-Level Segmentation of Tuberculosis Bacilli Based on Meta-Heuristic Algorithms http://dx.doi.org/10.4316/aece.2018.01014 http://dx.doi.org/10.4316/aece.2018.01014 S., AYAS, H., DOGAN, E., GEDIKLI, M., EKINCI, Image thresholding is the most crucial step in microscopic image analysis to distinguish bacilli objects causing of tuberculosis disease. Therefore, several bi-level thresholding algorithms are widely used to increase the bacilli segmentation accuracy. However, bi-level microscopic image thresholding problem has not been solved using optimization algorithms. This paper introduces a novel approach for the segmentation problem using heuristic algorithms and presents visual and quantitative comparisons of heuristic and state-of-art thresholding algorithms. In this study, well-known heuristic algorithms such as Firefly Algorithm, Particle Swarm Optimization, Cuckoo Search, Flower Pollination are used to solve bi-level microscopic image thresholding problem, and the results are compared with the state-of-art thresholding algorithms such as K-Means, Fuzzy C-Means, Fast Marching. Kapur's entropy is chosen as the entropy measure to be maximized. Experiments are performed to make comparisons in terms of evaluation metrics and execution time. The quantitative results are calculated based on ground truth segmentation. According to the visual results, heuristic algorithms have better performance and the quantitative results are in accord with the visual results. Furthermore, experimental time comparisons show the superiority and effectiveness of the heuristic algorithms over traditional thresholding algorithms. Wed, 28 Feb 2018 00:00:00 +0200 Optimization of Charge/Discharge Coordination to Satisfy Network Requirements Using Heuristic Algorithms in Vehicle-to-Grid Concept http://dx.doi.org/10.4316/aece.2018.01015 http://dx.doi.org/10.4316/aece.2018.01015 A., DOGAN, S., BAHCECI, F., DALDABAN, M., ALCI, Image thresholding is the most crucial step in microscopic image analysis to distinguish bacilli objects causing of tuberculosis disease. Therefore, several bi-level thresholding algorithms are widely used to increase the bacilli segmentation accuracy. However, bi-level microscopic image thresholding problem has not been solved using optimization algorithms. This paper introduces a novel approach for the segmentation problem using heuristic algorithms and presents visual and quantitative comparisons of heuristic and state-of-art thresholding algorithms. In this study, well-known heuristic algorithms such as Firefly Algorithm, Particle Swarm Optimization, Cuckoo Search, Flower Pollination are used to solve bi-level microscopic image thresholding problem, and the results are compared with the state-of-art thresholding algorithms such as K-Means, Fuzzy C-Means, Fast Marching. Kapur's entropy is chosen as the entropy measure to be maximized. Experiments are performed to make comparisons in terms of evaluation metrics and execution time. The quantitative results are calculated based on ground truth segmentation. According to the visual results, heuristic algorithms have better performance and the quantitative results are in accord with the visual results. Furthermore, experimental time comparisons show the superiority and effectiveness of the heuristic algorithms over traditional thresholding algorithms. Wed, 28 Feb 2018 00:00:00 +0200 A Brief Review on the Validity and Reliability of Microsoft Kinect Sensors for Functional Assessment Applications http://dx.doi.org/10.4316/aece.2018.01016 http://dx.doi.org/10.4316/aece.2018.01016 P. R., DIAZ-MONTERROSAS, R., POSADA-GOMEZ, A., MARTINEZ-SIBAJA, A. A., AGUILAR-LASSERRE, U., JUAREZ-MARTINEZ, J. C., TRUJILLO-CABALLERO, Kinect sensors are Human Computer Interaction devices oriented to entertainment, but have rapidly spread to several fields such as health care, physical therapy, and training. Their multiple advantages place them at present in a competitive situation compared to traditional solutions. On the other hand, their accuracy and precision for sensitive human applications are still under critical examination. This paper presents a brief literature review on the validity and reliability of the first and the second generation Kinect sensors to get an idea of the feasibility of their propagation as measuring devices in functional assessment applications. Results are difficult to compare because they depend largely on the type of measured elements, the angle of view of the measurement, the distance to the sensor, and even the diversity of human motion features. Nonetheless, they suggest that Kinect sensors are capable of properly identifying posture and motion, but not body or joint rotations, unusual postures, or occlusions. Wed, 28 Feb 2018 00:00:00 +0200 The Events Priority in the nMPRA and Consumption of Resources Analysis on the FPGA http://dx.doi.org/10.4316/aece.2018.01017 http://dx.doi.org/10.4316/aece.2018.01017 E.-E., CIOBANU, The MPRA (Multi Pipeline Register Architecture) was modified and converted into n-task MPRA (nMPRA) by replicating the pipeline registers. While the original MPRA provided hardware scheduling, the interrupts and the events caused too long delays. The author proposes the original solutions for the interrupts and the events treatment, which represent the author's contribution to improving nMPRA; after the theoretical presentations of these solutions in the author's previous articles, this paper presents the implementations of the schemes, the results of the tests and the improved schemes. The MPRA, MPRA4 and MPRA8 implementations on FPGA (Field Programmable Gate Array) were used to evaluate performances. A detailed analysis, partially presented in this paper, shows other advantages: no extra software is required, the hardware implementation is simple, the interrupts and events are similarly handled and the tasks synchronizations and communications are completely based on hardware; MPRA has a low power consumption, even multiplied by eight times, it is reasonably necessary memory and logic resource consumption multiplied by about four times at MPRA4 (compared to MPRA) and by about eight times at MPRA8. Wed, 28 Feb 2018 00:00:00 +0200 The Passive Operating Mode of the Linear Optical Gesture Sensor http://dx.doi.org/10.4316/aece.2018.01018 http://dx.doi.org/10.4316/aece.2018.01018 K., CZUSZYNSKI, J., RUMINSKI, J., WTOREK, The study evaluates the influence of natural light conditions on the effectiveness of the linear optical gesture sensor, working in the presence of ambient light only (passive mode). The orientations of the device in reference to the light source were modified in order to verify the sensitivity of the sensor. A criterion for the differentiation between two states - possible gesture and no gesture - was proposed. Additionally, different light conditions and possible features were investigated, relevant for the decision of switching between the passive and active modes of the device. The criterion was evaluated based on the specificity and sensitivity analysis of the binary ambient light condition classifier. The elaborated classifier predicts ambient light conditions with the accuracy of 85.15%. Understanding the light conditions, the hand pose can be detected. The achieved accuracy of the hand poses classifier trained on the data obtained in the passive mode in favorable light conditions was 98.76%. It was also shown that the passive operating mode of the linear gesture sensor reduces the total energy consumption by 93.34%, resulting in 0.132mA. It was concluded that optical linear sensor could be efficiently used in various lighting conditions. Wed, 28 Feb 2018 00:00:00 +0200 Improved Wind Speed Prediction Using Empirical Mode Decomposition http://dx.doi.org/10.4316/aece.2018.02001 http://dx.doi.org/10.4316/aece.2018.02001 Y., ZHANG, C., ZHANG, J., SUN, J., GUO, Wind power industry plays an important role in promoting the development of low-carbon economic and energy transformation in the world. However, the randomness and volatility of wind speed series restrict the healthy development of the wind power industry. Accurate wind speed prediction is the key to realize the stability of wind power integration and to guarantee the safe operation of the power system. In this paper, combined with the Empirical Mode Decomposition (EMD), the Radial Basis Function Neural Network (RBF) and the Least Square Support Vector Machine (SVM), an improved wind speed prediction model based on Empirical Mode Decomposition (EMD-RBF-LS-SVM) is proposed. The prediction result indicates that compared with the traditional prediction model (RBF, LS-SVM), the EMD-RBF-LS-SVM model can weaken the random fluctuation to a certain extent and improve the short-term accuracy of wind speed prediction significantly. In a word, this research will significantly reduce the impact of wind power instability on the power grid, ensure the power grid supply and demand balance, reduce the operating costs in the grid-connected systems, and enhance the market competitiveness of the wind power. Thu, 31 May 2018 00:00:00 +0300 Efficient Placement of Electric Vehicles Charging Stations using Integer Linear Programming http://dx.doi.org/10.4316/aece.2018.02002 http://dx.doi.org/10.4316/aece.2018.02002 Z., MILJANIC, V., RADULOVIC, B., LUTOVAC, This paper presents an efficient optimization approach for the placement of electric vehicles charging stations within the road network. The approach is based on the integer linear programming technique for solving optimization problems. In this paper, the optimization problem is formulated as complex combinatorial problem with goal to find minimum number of strategically selected locations for charging stations which will enable covering of the route between each two nodes of the road network. The necessary input data are the road network configuration with distances and adopted electric vehicle autonomy. The input data are used for creation of the graph representing the road infrastructure with nodes as potential locations for charging stations. The application of proposed approach is demonstrated on example road configuration with emphasis on its scalability, generality and processing cost. Thu, 31 May 2018 00:00:00 +0300 A Computationally Efficient Pipelined Architecture for 1D/2D Lifting Based Forward and Inverse Discrete Wavelet Transform for CDF 5/3 Filter http://dx.doi.org/10.4316/aece.2018.02003 http://dx.doi.org/10.4316/aece.2018.02003 S., CEKLI, In this study, a simple lifting based pipeline DWT (Discrete Wavelet Transform) architecture is proposed for the operation of the CDF 5/3 (Cohen-Daubechies-Feauveau 5/3) filter. This scalable architecture is faster and capable of fulfilling the transformation utilizing the parallel processing operation units. The symmetric boundary extension method is used at the signal boundaries to obtain the best result in the case of 1D/2D. The proposed architecture utilizes the hardware resources in a quite efficient way by means of the pipeline technique. The architectural design is constituted by using RTL (Register Transfer Level) design process and coded by the Verilog HDL. The proposed architecture is tested for several 1D/2D inputs to examine its operation. The related architecture is synthesized for the FPGA board to check the results. The reverse operation is fulfilled by using the same structure only by changing the shift amounts of the shifting units. The DWT coefficients are calculated on this architecture for the 1D/2D situation. The hardware resources are used effectively by utilizing the constituted architecture in folded structure in the 2D case. Satisfying results have been obtained when the different numbers of parallel processing units are utilized. Thu, 31 May 2018 00:00:00 +0300 Generic Approach for Interpretation of PCA Results - Use Case on Learner's Activity in Social Media Tools http://dx.doi.org/10.4316/aece.2018.02004 http://dx.doi.org/10.4316/aece.2018.02004 M. C., MIHAESCU, P. S., POPESCU, M. L., MOCANU, Intensive usage of social media tools for educational purposes transformed many previously tackled issues from classical e-Learning systems. Among the most general challenging issues reside in building classification models having the performed activities set as independent variables and final grade as dependent variable. A critical step in data analysis process regards building interpretable models in terms of explaining feature values and ranges along with their influence on target class. We asked whether dimensionality reduction techniques may be effectively used such that high quality interpretable models are obtained. Principal component analysis (PCA) dimensionality reduction technique, scaling and several classical classification techniques were used to create a data analysis pipeline that produces classification models with similar accuracy of initial classification models built on raw available data. Experimental results show that features that characterize the activity performed on each social tool and on all tools are highly interpretable in our classification context. The proposed approach is flexible and can be adapted to similar practical use cases in which a large number of features is difficult to be interpreted and a digest is required as being more useful for bringing a better insight on data. Thu, 31 May 2018 00:00:00 +0300 Design of an High Frequency RFID Multi-Loop Antenna for Applications in Metallic Environments http://dx.doi.org/10.4316/aece.2018.02005 http://dx.doi.org/10.4316/aece.2018.02005 A. I., PETRARIU, A., LAVRIC, E., COCA, Due to the fast growing of automatic processing in the majority of industrial applications, use of RFID technology is almost mandatory. These systems must identify, with high accuracy, objects placed at different angles or objects placed in harsh environments. In this paper, a new design of an HF RFID reader antenna is proposed, which uses a multi-loop configuration. This configuration ensures a uniform magnetic field on its entire surface, even if the antenna is placed on or very close to a metallic plane. The structure of the proposed antenna is mathematically modelled and computer simulated, as a proof of the concept, followed by a validation on an experimental prototype. Results confirm an increase of up to 9 times for the reading distance, compared with a standard HF RFID reader antenna, working in the same environment. The proposed model can be used in order to improve the accuracy of RFID tag identification in real life applications. Thu, 31 May 2018 00:00:00 +0300 An Efficient MPTCP-Based Congestion Control Scheme for HBDP Networks http://dx.doi.org/10.4316/aece.2018.02006 http://dx.doi.org/10.4316/aece.2018.02006 K., CHUNG, J., OH, With the widespread distribution of devices with multiple network interfaces, interest in multi-path transmission techniques has increased. The Internet Engineering Task Force (IETF) published Multi-path TCP (MPTCP) as a standard for multi-path transmission techniques and many researchers have studied multipath means of transmitting data efficiently, with each path having different characteristics. However, today's networks have been shown to exhibit high bandwidth-delay product (HBDP) characteristics but MPTCP does not match the requirements of HBDP networks. Many researchers have proposed solutions to overcome this problem, but the solutions have had the drawbacks of ineffective load balancing mechanisms and a trade-off problem between improving throughput and preventing loss events. In this paper, we propose an efficient MPTCP-based congestion control scheme in HBDP networks. Our scheme consists of two main mechanisms. One is to mitigate trade-off problems observed in previous works and the other is to enhance traffic migration according to the conditions of each path. Simulation results have shown that our scheme achieves those goals and enhance performance in HBDP networks. Thu, 31 May 2018 00:00:00 +0300 Self-Excited Induction Generator Based Microgrid with Supercapacitor Energy Storage to Support the Start-up of Dynamic Loads http://dx.doi.org/10.4316/aece.2018.02007 http://dx.doi.org/10.4316/aece.2018.02007 C. P., ION, I., SERBAN, A supercapacitor storage system (SCSS) is used for improving the dynamic performances of a microgrid (MG) fed by a self-excited induction generator (SEIG), in the case of the direct start-up of an induction motor (IM) of comparable power. The primary control system contains a voltage source inverter (VSI) with a dump load (DL), to which the SCSS is added. The control strategy for the SCSS consists of injecting power into the VSI DC-link when, because of the overload created by the IM, the DC voltage decreases under the acceptable limit. Thus, the overall performance of the SEIG-supplied MG is significantly improved. Simulations and experimental results accomplished on a laboratory-scale MG validate the effectiveness of the proposed control structure. Thu, 31 May 2018 00:00:00 +0300 Expansible Network-on-Chip Architecture http://dx.doi.org/10.4316/aece.2018.02008 http://dx.doi.org/10.4316/aece.2018.02008 I. L. P., PIRES, M. A. Z., ALVES, L. C. P., ALBINI, Interconnection has a great importance to provide a high bandwidth communication among parallel systems. On multi-core context, Network-on-Chip is the default intra-chip interconnection choice, providing low contention and high bandwidth between the processing elements. However, the communication outside the chip commonly uses high performance links which have the entire communication protocol stack overhead. This paper introduces the Expansible NoC concept and architecture, which is formed by wired and wireless NoC components in order to provide a low overhead interconnection for intra-chip and inter-chip communication. ENoC couples both networks with the same simplified protocol, enabling the transmission of parallel messages directly in the NoC level. The ability of identifying new communicant on-the-fly increases its flexibility, expanding the system boundaries every time a new system is connected. The ENoC inter-chip wireless link reaches short distances working at 60 GHz with Orthogonal Frequency Division Multiplexing with Quadrature Amplitude Modulation, enabling high bandwidth communication for systems inside a single cluster rack. Experimental evaluations were performed using the Noxim simulator executing computational fluid dynamics benchmark applications. Results show that the proposed architecture improves up to 38% the performance when compared to the newest related work. Thu, 31 May 2018 00:00:00 +0300 Monofractal and Multifractal Analysis of Discharge Signals in Transformer Pressboards http://dx.doi.org/10.4316/aece.2018.02009 http://dx.doi.org/10.4316/aece.2018.02009 S., CEKLI, C. P., UZUNOGLU, M., UGUR, Pressboards are commonly used as insulating materials employed in electrical connections of transformers. Pressboards are typically made from vegetable fibers, which contain cellulose. The proper operation of power transformer depends mainly on constant monitoring of insulation materials against failure. Due to the complex and close structure of power transformers, it is very challenging task to detect failure and hence possible location of degradation of pressboard internally. Generated discharge signals may result in breakdown of system insulation and system failure. In this study, the investigation of insulation degradation is fulfilled by analyzing discharge signals and simultaneously produced acoustic signals during discharges. For this purpose, a test setup is used for investigating discharge signals of pressboard samples under different electrical stresses. This paper proposes monofractal and multifractal analysis of discharge and acoustic signals of pressboards. The Higuchi's method is an effective monofractal analysis tool for measurement of fractal dimension of self-affine signals, which is proposed for online monitoring of discharge signals of pressboards. In order to investigate obtained discharge signals with accelerated fluctuations effectively, multifractal detrended fluctuation analysis is proposed for these signals, which exhibit nonlinear behavior. Thu, 31 May 2018 00:00:00 +0300 Maximum Entropy Principle in Image Restoration http://dx.doi.org/10.4316/aece.2018.02010 http://dx.doi.org/10.4316/aece.2018.02010 M.-A., PETROVICI, C., DAMIAN, D., COLTUC, Many imaging systems are faced with the problem of estimating a true image from a degraded dataset. In such systems, the image degradation is translated into a convolution with a Point Spread Function (PSF) and addition of noise. Often, the image recovery by inverse filtering is not possible because the PSF matrix is ill-conditioned. Maximum Entropy (MaxEnt) is an alternative method, which uses the entropy concept for estimating the true image. This paper presents MaxEnt method, starting with the historical references of the entropy concept and finalizing with its application in image restoration and reconstruction. The statistical model of MaxEnt for images is discussed and the connection of MaxEnt with the Bayesian inference is explained. MaxEnt is evaluated by using a modified version of Cornwell algorithm. Two cases are considered: images degraded by various PSF kernels in presence of additive noise and images resulted from incomplete datasets. The tests show PSNR gains ranging from 1 to 7dB for the degraded images and images reconstructed at 25dB from datasets with up to 80% missing pixels. Thu, 31 May 2018 00:00:00 +0300 A Programmable Biopotential Aquisition Front-end with a Resistance-free Current-balancing Instrumentation Amplifier http://dx.doi.org/10.4316/aece.2018.02011 http://dx.doi.org/10.4316/aece.2018.02011 P., FARAGO, R., GROZA, S., HINTEA, P., SOSER, The development of wearable biomedical equipment benefits from low-power and low-voltage circuit techniques for reduced battery size and battery, or even battery-less, operation. This paper proposes a fully-differential low-power resistance-free programmable instrumentation amplifier for the analog front-end of biopotential monitoring systems. The proposed instrumentation amplifier implements the current balancing technique. Low power consumption is achieved with subthreshold biasing. To reduce chip area and enable integration, passive resistances have been replaced with active equivalents. Accordingly, the instrumentation amplifier gain is expressed as the ratio of two transconductance values. The proposed instrumentation amplifier exhibits two degrees of freedom: one to set the desired range and the other for fine-tuning of the voltage gain. The proposed IA is employed in a programmable biopotential acquisition front-end. The programmable frequency-selective behavior is achieved by having the lower cutoff frequency of a Gm-C Tow-Thomas biquad varied in a constant-C tuning approach. The proposed solutions and the programmability of the operation parameters to the specifications of particular bio-medical signals are validated on a 350nm CMOS process. Thu, 31 May 2018 00:00:00 +0300 Application of the Firefly Algorithm for Optimizing a Single-switch Class E ZVS Voltage-Source Inverter's Operating Point http://dx.doi.org/10.4316/aece.2018.02012 http://dx.doi.org/10.4316/aece.2018.02012 R., KLEMPKA, Z., WARADZYN, A., SKALA, A continuous development of technology involves a permanent improvement of appliances towards the increase in energy effectiveness, efficiency and precision of operation. This applies also to induction heating equipment. In order to increase the energy effectiveness of the inverter presented in this paper and limit its switching losses, its operating point has been optimized, which required solving a system of two non-linear equations. Due to the complex surface optimization to determine the optimal operating point, a modified firefly algorithm was used, which belongs to the family of intelligent optimization methods. An analysis of the effectiveness of optimization process was carried out, due to the firefly algorithm parameters. A modification of the firefly algorithm was proposed to speed up the optimization and get certainty of finding the global optimum. Theoretical outcomes were compared with the measured experimental results obtained in a real inverter system. Thu, 31 May 2018 00:00:00 +0300 Combination of Long-Term and Short-Term Features for Age Identification from Voice http://dx.doi.org/10.4316/aece.2018.02013 http://dx.doi.org/10.4316/aece.2018.02013 O., BUYUK, M. L., ARSLAN, In this paper, we propose to use Gaussian mixture model (GMM) supervectors in a feed-forward deep neural network (DNN) for age identification from voice. The GMM is trained with short-term mel-frequency cepstral coefficients (MFCC). The proposed GMM/DNN method is compared with a feed-forward DNN and a recurrent neural network (RNN) in which the MFCC features are directly used. We also make a comparison with the classical GMM and GMM/support vector machine (SVM) methods. Baseline results are obtained with a set of long-term features which are commonly used for age identification in previous studies. A feed-forward DNN and an SVM are trained using the long term features. All the systems are tested using a speech database which consists of 228 female and 156 male speakers. We define three age classes for each gender; young, adult and senior. In the experiments, the proposed GMM/DNN significantly outperforms all the other DNN types. Its performance is only comparable to the GMM/SVM method. On the other hand, experimental results show that age identification performance is significantly improved when the decisions of the short-term and long-term systems are combined together. We obtain approximately 4% absolute improvement with the combination compared to the best standalone system. Thu, 31 May 2018 00:00:00 +0300 Underwater Image Enhancement by Adaptive Gray World and Differential Gray-Levels Histogram Equalization http://dx.doi.org/10.4316/aece.2018.02014 http://dx.doi.org/10.4316/aece.2018.02014 S.-L., WONG, R., PARAMESRAN, A., TAGUCHI, Most underwater images tend to be dominated by a single color cast. This paper presents a solution to remove the color cast and improve the contrast in underwater images. However, after the removal of the color cast using Gray World (GW) method, the resultant image is not visually pleasing. Hence, we propose an integrated approach using Adaptive GW (AGW) and Differential Gray-Levels Histogram Equalization (DHE) that operate in parallel. The AGW is applied to remove the color cast while DHE is used to improve the contrast of the underwater image. The outputs of both chromaticity components of AGW and intensity components of DHE are combined to form the enhanced image. The results of the proposed method are compared with three existing methods using qualitative and quantitative measures. The proposed method increased the visibility of underwater images and in most cases produces better quantitative scores when compared to the three existing methods. Thu, 31 May 2018 00:00:00 +0300 Method for Efficiency Increasing of Distributed Classification of the Images based on the Proactive Parallel Computing Approach http://dx.doi.org/10.4316/aece.2018.02015 http://dx.doi.org/10.4316/aece.2018.02015 V., MUKHIN, A., VOLOKYTA, Y., HERIATOVYCH, P., REHIDA, In this paper we propose a new clustering method based on alpha-procedure that differs with proactive computing of graphs and other possible factors superposition of classification. This approach does not increase the calculation time but obtains a potentially more accurate result for object classification. The description of the method alpha- procedure parallelization is performed. The paper presents a method of parallel computing of the independent parts in distributed systems using a model of actors. The paper describes a modified method of classification of multidimensional objects designed for computing on distributed computer systems. It is shown, that in case if the number of nodes is increased, the performance decreases linearly. This method allows realizing the choosing by n-factors despite the classical method. This change is acceptable as the ways of the calculations are independent from each other and can be calculated in parallel on a distributed system. Therefore, in modern distributed systems, in case if the amount of resources is sufficient, we may use the redundant calculations that may improve the clustering results. For this method, we propose to use the resources for parallel calculation in several independent ways, and further comparing them, to choose the best result. Thu, 31 May 2018 00:00:00 +0300 Lattice Boltzmann Method Implementation on Multiple Devices using OpenCL http://dx.doi.org/10.4316/aece.2018.03001 http://dx.doi.org/10.4316/aece.2018.03001 J. B., TEKIC, P. M., TEKIC, M., RACKOVIC, Scientific computing community has been in close connection with high performance computing (HPC), which has been privilege of a limited group of scientists. Recently, with rapid development of Graphics Processing Units (GPUs), the parallel processing power of high performance computers has been brought up to every commodity desktop computer, reducing cost of scientific computations. In this paper, we develop a general purpose Lattice Boltzmann code that runs on commodity computer with multiple heterogeneous devices that support OpenCL specification. Different approaches to Lattice Boltzmann code implementations on commodity computer with multiple devices were explored. Simulation results for different code implementations on multiple devices have been compared to each other, to results obtained for single device implementation and with results from the literature. Simulation results for the commodity computer hardware platforms with multiple devices implementation have showed significant speed improvement compared to simulation implemented on single device. Fri, 31 Aug 2018 00:00:00 +0300 High-Level Crosstalk Model in N-Coupled Through-Silicon Vias (TSVs) http://dx.doi.org/10.4316/aece.2018.03002 http://dx.doi.org/10.4316/aece.2018.03002 H., LEE, J. K., PARK, J. T., KIM, This paper proposes a regression noise model that can cover the noise effect from N-coupled TSVs based on SPICE simulation and reliability analysis flow for high-level simulation using a regression model. Regression analysis is adopted to develop a simple noise model with a single parameter and use the superposition theorem to extend the number of TSV lines that produce the noise. The proposed regression model has over 99 percent accuracy with SPICE in the given parameter range. For the N-coupled TSV wire, the regression noise model has over 96 percent accuracy. This paper choose the transaction level simulation for the high-level proposed analysis flow to calculate the single bit error rate of over 100 billion transaction data in a few minutes. Our simulation result shows the effect of the N-coupled TSV crosstalk glitch noise on the single bit error rate when the probability function type of the manufacturing noise is considered. Fri, 31 Aug 2018 00:00:00 +0300 Adaptive LSB Steganography Based on Chaos Theory and Random Distortion http://dx.doi.org/10.4316/aece.2018.03003 http://dx.doi.org/10.4316/aece.2018.03003 K., TUTUNCU, B., DEMIRCI, Image steganography is a technique to hide secret information in an image without leaving any apparent evidence of image alteration. Hiding capacity, perceptual transparency, robustness, and resistance against attack must be considered as characteristics of the image steganography algorithms. In this study, Improved Chaos Based Bit Embedding has been proposed as a new steganography algorithm. It is based on two basic principles. One of them is determining the bits in which the secret data will be embedded by logistic map and the other one is embedding the secret data into only one of the three color channels that is chosen randomly. It distorts the other remaining channels so that it is harder to obtain the text within the image by an unwanted person. The proposed algorithm has been tested on 10 sample images along with the four basic steganography algorithms: Least Significant Bit Embedding, Pseudo Random Least Significant Bit Embedding, EzStego, and F5. It has been seen that generating unpredictable indexes by the chaotic random number generators, and embedding the secret data into only one of the three channels (distorting remaining channels) increased resistance against attacks. Perceptual transparencies and capacity ratio of the proposed algorithm are compatible with the other four algorithms. Fri, 31 Aug 2018 00:00:00 +0300 Effect of Objective Function Formulation on Static and Operating Parameters of a Switched Reluctance Motor After Optimization of Magnetic Circuit Shape http://dx.doi.org/10.4316/aece.2018.03004 http://dx.doi.org/10.4316/aece.2018.03004 K., WROBEL, K., TOMCZEWSKI, The article presents a comparison of two optimization methods aimed at the linearization of electromagnetic torque on rotor position angle in a two-phase switched reluctance motor (SRM). To optimize the shape of the SRM magnetic circuit, two objective functions were used, dependent on average, minimum and maximum values, and standard deviation electromagnetic torque. For computations, Matlab software was used along with the GAOT library. Parallel computations were carried out using the HTCondor environment. Optimization results were assessed by comparing the electromagnetic torque waveforms of the obtained SRM designs at different points of the drive operation. As a result of the research, additional criteria for assessing the quality of the drive in terms of pulsation of the electromagnetic torque are proposed. Fri, 31 Aug 2018 00:00:00 +0300 Graphical Interpretation of the Extended Kalman Filter: Estimating the State-of-Charge of a Lithium Iron Phosphate Cell http://dx.doi.org/10.4316/aece.2018.03005 http://dx.doi.org/10.4316/aece.2018.03005 F., CIORTEA, M., NEMES, S., HINTEA, Electric vehicles (EVs) fall in line with a new ideology of less waste and more conscious usage of resources, slowly picking up speed. In this context, energy storage is of paramount importance, making batteries a key element in the architecture of the electric vehicles. The state of the battery pack must be thoroughly monitored to prolong lifetime and extend vehicle range. For this, measurable physical quantities (i.e. terminal voltage, charge/discharge current, temperature) must be monitored and processed, while the inferred parameters (e.g. state-of-charge (SoC), state-of-health (SoH)) are computed and continuously updated. Whether we are talking about control of a noisy system, ill-defined decision-making processes or data analysis, estimation theory comes into play on a regular basis. The estimation algorithm is critical for appropriate usage of all available power, therefore, research effort is required to allow development of an optimum for a given application, by exploring design alternatives and their effects. This paper evaluates graphically an extended Kalman filter (EKF) for determining the SoC of lithium-ion batteries (LIBs) considering various cell models, initial conditions and charge/discharge profiles. The results are qualitatively and quantitatively assessed by extracting and visualizing the dynamics of the internal variables of the filter during operation. Fri, 31 Aug 2018 00:00:00 +0300 Design of an Adaptive Fuzzy Control System for Dual Star Induction Motor Drives http://dx.doi.org/10.4316/aece.2018.03006 http://dx.doi.org/10.4316/aece.2018.03006 L., YOUB, S., BELKACEM, F., NACERI, M., CERNAT, L. G., PESQUER, In this paper, a new control strategy is developed; an adaptive fuzzy controller based on Lyapunov's stability theory (AFLC) recalculates the real-time PI-fuzzy gains and combines the advantages of two robust techniques i.e. the fuzzy logic control and the adaptive one. For the new adaptive fuzzy control, we followed two steps: in the first one, a PI-fuzzy controller is designed, in the second step, the gains of a fuzzy regulator are determined. Extensive simulation results are presented to validate the proposed technique. The system is tested at different speeds and a very satisfactory performance has been achieved. Fri, 31 Aug 2018 00:00:00 +0300 A Hybrid Model based on Genetic Algorithm and Space-Filling Curve applied to Optimization of Vehicle Routes http://dx.doi.org/10.4316/aece.2018.03007 http://dx.doi.org/10.4316/aece.2018.03007 W. R., MENDES, F. G., PEREIRA, D. C., CAVALIERI, This work is the result of a real problem in the Sanitation Company of Espirito Santo (Companhia Espirito Santense de Saneamento), which owns a Geographic Information System, but lacks a mechanism to build routes to server customers that open in average 2148 services requests per day. Therefore, we propose a Hybrid Optimization Algorithm that combines Genetic Algorithm and Space-Filling Curves to solve the Vehicle Route Problem. We establish the validity of the hybrid algorithm by performing tests in two different benchmarks datasets. Our proposal reached an average result of 12.7 percent and 4.1 percent better than the previous solutions in the first and second datasets respectively. Also, we compare our solution and five other variations of Ant Colony Optimization Algorithm. The results show that our proposal is superior in some simulations and, when it was not superior, presented the second-best results for almost all instances. Fri, 31 Aug 2018 00:00:00 +0300 A New Method for MPPT Algorithm Implementation and Testing, Suitable for Photovoltaic Cells http://dx.doi.org/10.4316/aece.2018.03008 http://dx.doi.org/10.4316/aece.2018.03008 A., SFIRAT, A., GONTEAN, S., BULARKA, The goal of this paper is to present an implementation method for a Maximum Power Point Tracking (MPPT) algorithm using an electronic load and custom designed LabView software. The aim is to facilitate the testing of the algorithm in laboratory conditions, before it can be used in the real world, improving development time, facilitating cost reduction and offering confidence in the design. This paper analyses the most suitable MPPT algorithms for testing purposes and suggests a complete software and hardware implementation for hardware in the loop testing which can facilitate in-depth evaluation of different algorithms. In order to replicate realistic stimuli for the MPPT algorithm, a solar array simulator has been designed. Using the proposed method, the performance of various MPPT algorithms for different atmospheric conditions can be evaluated. The hardware and software setup have been tested and validated in laboratory conditions. The experimental results have validated the proposed evaluation method and the good dynamic response of the MPPT algorithm. Fri, 31 Aug 2018 00:00:00 +0300 A Proposal of a Novel Method for Generating Discrete Analog Uniform Noise http://dx.doi.org/10.4316/aece.2018.03009 http://dx.doi.org/10.4316/aece.2018.03009 D., PEJIC, N., GAZIVODA, B., LICINA, M., UREKAR, P., SOVILJ, B., VUJICIC, This paper presents a proposal of a new way to generate analog noise, discrete in time, with uniform probability density function. Instead of the usual way of generating discrete analog uniform noise using a uniform pseudorandom number generator and a digital-to-analog converter, generating based on non-equidistant sampling of sawtooth voltage is suggested. The original hardware structure that implements this idea is suggested and its work is simulated. The simulations have confirmed the validity of the idea. The main gain is the unlimited resolution of the analog output of the uniform noise generator suggested. The resolution of standard uniform noise generators is limited by the resolution of the digital-to-analog converter used. Fri, 31 Aug 2018 00:00:00 +0300 All-Weather Road Image Enhancement using Multicolor Content-Aware Color Constancy http://dx.doi.org/10.4316/aece.2018.03010 http://dx.doi.org/10.4316/aece.2018.03010 D., LEE, T., KIM, H., BYUN, Y., CHOI, This paper proposes a method that enhances the road images in real-time, which is an essential part of advanced driver assistance systems. The proposed method restores distorted colors in road images due to illumination by harnessing the relationship between known traffic signs and detected traffic signs via a traffic sign recognition system. The relationship is represented with Von Kries color constancy model which we aim to estimate and apply to the entire image. The proposed method uses a road traffic sign recognition system that is robust against illumination changes. It uses the difference between the detected color values of the traffic sign and an existing reference color values to obtain the coefficients of the Von Kries color constancy method, which is then applied to correct the road images in real time. Our method runs in real time and we tested the proposed method on various road driving images to show superior image enhancement performance regardless of the weather or time of day, compared to methods based on existing image processing techniques and color constancy method such as white balance. Fri, 31 Aug 2018 00:00:00 +0300 Implementation of High Speed Tangent Sigmoid Transfer Function Approximations for Artificial Neural Network Applications on FPGA http://dx.doi.org/10.4316/aece.2018.03011 http://dx.doi.org/10.4316/aece.2018.03011 I., KOYUNCU, Tangent Sigmoid (TanSig) Transfer Function (TSTF) is one of the nonlinear functions used in Artificial Neural Networks (ANNs). As TSTF includes exponential function operations, hardware-based implementation of this function is difficult. Thus, various methods have been proposed in the literature for the hardware implementation of TSTF. In this study, four different TSTF approaches on FPGA have been implemented using 32-bit IEEE 7541985 floating point number standard, and their performance analyses and FPGA chip statistics are presented. The Van der Pol system ANN application was carried out using four different FPGA-based TSTF units presented. The Multilayer feed-forward neural network structure was used in the study. The FPGA chip statistics and sensitivity analyses were carried out by applying each TSTF structure to the exemplary ANN. The maximum operating frequency of ANNs designed on FPGA using the four different TSTF units varied between 184362 MHz. The CORDIC-LUT-based ANN on FPGA was able to calculate 1 billion results in 3.284 s. According to the Van der Pol system ANN application carried out on FPGA, the CORDIC-LUT-based approach most closely reflected the reference ANN results. This study has a reference and key research for real-time artificial neural network applications used of tangent sigmoid one of the nonlinear transfer functions. Fri, 31 Aug 2018 00:00:00 +0300 Pulse Coupled Neural Network based Near-Duplicate Detection of Images (PCNN - NDD) http://dx.doi.org/10.4316/aece.2018.03012 http://dx.doi.org/10.4316/aece.2018.03012 K. K., THYAGHARAJAN, G., KALAIARASI, Near Duplicate images are variants of original image with some transformations / manipulations / forgeries in it. The illegal copies of images are identified to protect copyright enforcement and reduce redundancy. The existing works in ND detection are less accurate in the identification of similar images as near duplicates. Pulse Coupled Neural Network (PCNN) is found to be a suitable processor for all the image processing techniques including feature extraction. In this paper, PCNN is applied in the detection of near duplicate (ND) images. The proposed work Pulse Coupled Neural Network based Near Duplicate Detection of Images (PCNN-NDD) is a two-step process (1) feature extraction using PCNN and (2) fast image similarity measurement using correlation coefficient. Our system is capable of improving the accuracy effectively. The advantage of the proposed work lies in the proper setting of PCNN parameters to identify the similar images. The experimental results show that our PCNN-NDD system enhances the detection results and improves the accuracy when compared to other traditional systems. Fri, 31 Aug 2018 00:00:00 +0300 A Phasor Estimation Algorithm based on Hilbert Transform for P-class PMUs http://dx.doi.org/10.4316/aece.2018.03013 http://dx.doi.org/10.4316/aece.2018.03013 J. R., RAZO-HERNANDEZ, M., VALTIERRA-RODRIGUEZ, D., GRANADOS-LIEBERMAN, G., TAPIA-TINOCO, J. R., RODRIGUEZ-RODRIGUEZ, Phasor measurement units (PMUs) play an important role in many applications of power systems. In order to ensure a reliable performance, the phasor estimation algorithm has to satisfy a set of requirements stated in the IEEE Standard C37.118.1, which establishes the test conditions and requirements for steady-state and dynamic conditions. There, two classes of performance, P and M, can be found. In general, P-class is intended for applications that require fast response and M-class is used when greater precision is necessary. In this paper, a novel algorithm based on Hilbert transform for phasor estimation in compliance with the IEEE standard C37.118.1 for P-class is proposed. Advantages of the proposal are a fast response and a low computational burden due to the HT implementation as a low-order filter of one cycle. Further, two low-complex strategies of compensation are proposed. The proposal is validated using all the test conditions specified in the IEEE Standard C37.118.1. Besides that, real voltage and current signals of an electrical system are analyzed. The obtained results demonstrate that the new proposal can meet all the requirements for P-class performance. Fri, 31 Aug 2018 00:00:00 +0300 Mobile Subscriber Profiling and Personal Service Generation using Location Awareness http://dx.doi.org/10.4316/aece.2018.03014 http://dx.doi.org/10.4316/aece.2018.03014 K., OZTOPRAK, In the mobile environment, the location and the next move of subscribers are important. In this study, a method to detect the next move of the subscribers is proposed. In addition to the categorization of subscribers by using their Internet usage history, the knowledge of the next move pattern of subscribers will provide the flexibility to guide them to decide the next move. During the tracking of subscribers, the mobile devices of the subscribers are used as sensors to get in-depth knowledge about their preferences in their social life. The method presented here is the first in the literature to estimate the next move without connecting to any social networks. It combines the geographic locations and the Internet usage of the subscribers in order to predict their movement. In addition, most of the IoT studies either concentrate on network topologies or power consumption, while in this study, dynamicity and exact location estimation are utilized to handle the challenges and attain the required results. The results of the experiments show that the proposed system predicts the next move of a subscriber with a precision of more than 90 percent. Fri, 31 Aug 2018 00:00:00 +0300 Rule-Based Turkish Text Summarizer (RB-TTS) http://dx.doi.org/10.4316/aece.2018.03015 http://dx.doi.org/10.4316/aece.2018.03015 C. C., BIRANT, O., AKTAS, The volume of data produced has exponentially increased with the digital revolution and it continues to race to the limits of the capacity of our computers and supercomputers. Automatic text summarization is one of efforts to tame the bestial product of our daily data production, which have generated the 90 percent of the data ever produced by humans, in the last two years. In order to understand what a text is about, a summary is needed which is short enough not to compromise the understandability, and comprehensive to include the most important topics of that text. Numerous automatic text summarization software which aimed at achieving this goal use semantic relations, thesauri, and word frequency lists. In this paper, development phases and evaluation results of a software tool called Rule Based Turkish Text Summarizer (RB-TTS) are presented. The average success rate of the RB-TTS is analyzed both quantitatively using ROUGE-N metrics and qualitatively. In the qualitative analysis, five summaries, obtained automatically from texts, are evaluated by 10 Ph.D. students from Dokuz Eylul University Department of Linguistics. The summaries generated by RB-TTS software are compared with the summaries, which were written by the authors of the corresponding texts, and marked as close to them. Fri, 31 Aug 2018 00:00:00 +0300 High Performance BCD Integrated Buck-Boost Converter in an AMOLED Display with Application of Self-Triggering Frequency Modulation http://dx.doi.org/10.4316/aece.2018.03016 http://dx.doi.org/10.4316/aece.2018.03016 H., KIM, S., JEON, H., CHOI, N., KIM, Feedback control for self-triggering frequency modulation is proposed for an integrated buck-boost DC-DC converter in an AMOLED display. The goal is to reduce the ripple noise and transient time during the switching process. The converter uses two control modes: switching frequency modulation (SFM) mode for light load current and pulse width modulation (PWM) mode for heavy load current, which result in high power efficiency over a wide range of load current. The mode is automatically changed according to the load current and triggering pulse. A ring-type voltage controlled oscillator (VCO) is applied to obtain a proper operating frequency in the feedback control circuit by the load-dependent current source. The set and reset pulses are used to limit the switching-on time in the sensing signals with less transient time. The converter was fabricated with 0.35-m BCD (BIPOLAR-CMOS-DMOS) process technology. An experiment shows that the maximum power efficiency is 90 percent over a wide current range of 10-150 mA. Compared to a conventional converter, the proposed converter shows significantly less ripple noise and transient time. Fri, 31 Aug 2018 00:00:00 +0300 Three-Level Delta Modulation with Second-Order Prediction for Gaussian Source Coding http://dx.doi.org/10.4316/aece.2018.03017 http://dx.doi.org/10.4316/aece.2018.03017 Z., PERIC, B., DENIC, V., DESPOTOVIC, An adaptive three-level delta modulation with a switched second-order linear prediction is proposed in this paper, intended for encoding the time-varying signals modeled by Gaussian distribution. The input signal is processed frame-by-frame, and the adaptation of the quantizer is performed at the frame level. The signal at the output of quantizer is further processed using variable length encoder to decrease the bit rate. The performance is tested in speech coding, showing that the proposed algorithm provides much wider dynamic range and attains higher Signal to Noise Ratio with respect to the baselines, including CFDM, CVSDM and 2-bit Adaptive Delta Modulation. Fri, 31 Aug 2018 00:00:00 +0300 Crisscross Optimization with Comprehensive Vertical Crossover to Solve Combined Economic Emission Dispatch http://dx.doi.org/10.4316/aece.2018.03018 http://dx.doi.org/10.4316/aece.2018.03018 C., CHELLADURAI, A. A., VICTOIRE, This article implements Crisscross optimization technique with comprehensive vertical crossover (CSCVC) to solve the combined economic and emission dispatch (CEED) problem. The optimization problem considered here is multi-objective, as it involves both cost and emission to be minimized simultaneously. This complex and challenging problem can be solved using specialized technique which could thoroughly search the solution space and locate the best optimal set of solutions. The proposed CSCVC technique generates good quality solutions by implementing three interacting search operators, namely horizontal, vertical and Comprehensive crossover stages. To prove the superiority of the proposed technique numerical simulations are performed on 6, 10, and 14 Units test systems. The numerical results are compared with other existing methods in the literature and it is shown that the proposed CSCVC technique outperforms the other methods in terms producing minimum cost and emission. Fri, 31 Aug 2018 00:00:00 +0300 Computational Balancing between Wearable Sensor and Smartphone towards Energy-Efficient Remote Healthcare Monitoring http://dx.doi.org/10.4316/aece.2018.04001 http://dx.doi.org/10.4316/aece.2018.04001 A., SECERBEGOVIC, A., GOGIC, N., SULJANOVIC, M., ZAJC, A., MUJCIC, Recent advances in the development of wearable sensors and smartphones open up opportunities for executing computing operations on the devices instead of using them for streaming raw data. By minimizing power consumption due to the wireless transmission, limited energy resources of wearable devices can be utilized not only for sensing, but also for processing physiological signals. Computational tasks between a wearable sensor and a smartphone can be distributed efficiently in order to provide balance between power consumption of both processing and transmission of the data. In this paper, we have analyzed the computational balancing between a wearable sensor and a smartphone. Presented models show different trade-offs between classification accuracy, processing time and power consumption due to different number and types of extracted features and classification models. Our results are based on a physiological dataset, where electrocardiogram and electro dermal activity signals were collected from 24 individuals in short-term stress and mental workload detection scenario. Our findings show that placing a feature extraction on a wearable sensor is efficient when processing cost of the extracted features is small. On the other hand, moving classification task to the smartphone can improve accuracy of recognition without compromising the overall power consumption. Fri, 30 Nov 2018 00:00:00 +0200 Supporting Location Transparent Services in a Mobile Edge Computing Environment http://dx.doi.org/10.4316/aece.2018.04002 http://dx.doi.org/10.4316/aece.2018.04002 K., GILLY, S., FILIPOSKA, A., MISHEV, Emerging models such as mobile edge computing provide the necessary characteristics for the deployment of Internet of Things applications by supplying the connected devices with local computing facilities essential for latency sensitive applications. One of the major issues of the underlying edge computing architecture is to cope with the device mobility that imposes dynamically changing network requirements. In this paper, we propose a resource management approach that aims to improve the location transparency and provide high quality of experience for end users by optimising latencies perceived when nodes are accessing services hosted on the edge of the network. By managing the virtualised computing resources based on the node location area information, the main objective of the approach is to minimise the network latency perceived by mobile nodes for both the initial allocation and the dynamic resource migration during the service lifetime while the requester node is changing location areas. The system is trying to achieve the most accurate 'follow me' service where the assigned resources closely follow the current mobile node location. The presented results show the effectiveness of the proposed solution in comparison to traditional resource management techniques on the macro and micro scale. Fri, 30 Nov 2018 00:00:00 +0200 Cascaded Feature Selection for Enhancing the Performance of Collaborative Recommender System http://dx.doi.org/10.4316/aece.2018.04003 http://dx.doi.org/10.4316/aece.2018.04003 M. Y. H., AL-SHAMRI, A. F., AL-JUNIAD, T. S., QAID, M. H. A., AHMED, A. A., RAWEH, Most of collaborative recommender systems (CRSs) rely on statistical and data analysis methods for comparing users. However, dealing with them using machine learning techniques seems to be more appropriate. This paper investigates the usage of feature selection and classification methods for CRSs. It suggests building a user model suitable for the classification purpose and proposes a density-based feature selection (DBFS) method based on the rating density for each class. The DBFS reduces the effect of sparsity problem and keeps only users having a dense-feature history. Additionally, a cascaded feature selection method is proposed to pick out a subset of features through a two-layer approach. The first layer applies a classical feature selection method while the second layer applied the DBFS on the output of the first layer. The results show that the performance is gradually improved. The cascaded feature selection yields the best results since it improves the system accuracy, reduces the space and processing complexities, and alleviates the sparsity in two cascaded layers. The achieved improvements by cascaded feature selection as compared to SVM are 6.55 percent, 10.14 percent, and 3.92 percent in terms of accuracy, F-measure and MAE, respectively. Fri, 30 Nov 2018 00:00:00 +0200 Low Complexity Hybrid Precoding for Broadband mmWave Massive MIMO Systems http://dx.doi.org/10.4316/aece.2018.04004 http://dx.doi.org/10.4316/aece.2018.04004 Y., HUANG, C., LIU, Y., SONG, Hybrid precoding becomes a candidate for Millimeter wave (mmWave) massive MIMO (Multiple-Input and Multiple-Output) systems because it can extremely reduce power consumption and high costs. Most prior work considered hybrid precoding for narrowband systems. However, wideband systems with frequency selectivity are likely to be operated in the future. In broadband systems, a common analogue precoder is designed for the overall frequency band whereas different digital precoders are employed in different subcarriers. In this paper, we propose the hybrid precoding schemes for broadband mmWave massive MIMO systems. First, the hybrid single-user (SU) algorithm is proposed for a single-user system. The common analogue precoding matrix is derived from the Equal Gain Transmission (EGT) method and the digital precoding matrices for different subcarriers are employed based on directly water-filling technique. Second, the hybrid multi-user (MU) algorithm is proposed for a multi-user system. Gram-Schmidt orthogonalization is added in the analogue domain and zero-forcing (ZF) is utilized for digital precoders in order to nullify inter-user interference. Simulation results show that our proposed hybrid schemes with low complexity can almost reach the performance of fully digital precoding algorithm and outperform other hybrid algorithms. Fri, 30 Nov 2018 00:00:00 +0200 Methods of Simulated Annealing and Particle Swarm Applied to the Optimization of Reactive Power Flow in Electric Power Systems http://dx.doi.org/10.4316/aece.2018.04005 http://dx.doi.org/10.4316/aece.2018.04005 P., PIJARSKI, P., KACEJKO, Electric power system is characterized by relatively high demand for lagging reactive power. From the economic viewpoint, reactive power sources should be installed close to its demand. Optimal compensation should ensure minimal costs of the reactive power generation and transmission within the considered system. The optimization of activities related to reactive power compensation concerns the location and power of compensation devices. This is to optimize voltage levels and reactive power flows in the system. The article presents methods of simulated annealing and particle swarm applied to solve an optimization task of the reactive power flow. It has been assumed that active power losses in a power system are the objective function. Fri, 30 Nov 2018 00:00:00 +0200 Continuous Time Chaotic Systems for Whale Optimization Algorithm http://dx.doi.org/10.4316/aece.2018.04006 http://dx.doi.org/10.4316/aece.2018.04006 E., TANYILDIZI, T., CIGAL, Discrete time chaotic systems are often used instead of random number arrays in order to improve the convergence properties of optimization algorithms and prevent them to get stuck on local solutions. In this study, discrete-time and continuous-time chaotic systems are employed to improve the performance of Whale Optimization Algorithm (WOA), for the first time. It is suggested to use continuous-time chaotic systems instead of discrete-time systems in some cases. Using 23 benchmark functions and two engineering problems, one-dimensional chaotic maps and continuous time chaotic systems were analyzed on WOA. The results show that especially in multidimensional problems the use of the continuous time chaotic system can improve the performance of the algorithm and provide faster convergence. Fri, 30 Nov 2018 00:00:00 +0200 Redesign of Morphing UAV for Simultaneous Improvement of Directional Stability and Maximum Lift/Drag Ratio http://dx.doi.org/10.4316/aece.2018.04007 http://dx.doi.org/10.4316/aece.2018.04007 S., ARIK, I., TURKMEN, T., OKTAY, This paper presents a novel method based on the artificial intelligence to redesign of morphing Unmanned Aerial Vehicle (UAV) for improvement of index consisting of directional stability and maximum lift/drag (L/D) ratio. In this study, Artificial Neural Network (ANN) based objective function is optimized with Artificial Bee Colony (ABC) algorithm. Firstly, the sweep angle is selected as input parameter and directional stability and maximum L/D ratio are selected as output parameters for ANN. ANN is trained with a small number of data obtained by the computational fluid dynamics method and the trained ANN is used for multiplying these data. Two ABC optimization algorithms with different objective functions are used to improve the index consisting of directional stability and maximum L/D ratio: While the first is used the adjustment of the ANN weights, the second is used the optimization of the ANN based objective function. Simulation results realized with limited data show that although directional stability and maximum L/D ratio have inverse relation, they are optimized equally and simultaneously. Thus, the artificial intelligence techniques provide fast and accurate determination of the optimal aerodynamic shape of UAV without time consuming and complexity caused by theoretical calculations. Fri, 30 Nov 2018 00:00:00 +0200 Real-Time Clustering of Large Geo-Referenced Data for Visualizing on Map http://dx.doi.org/10.4316/aece.2018.04008 http://dx.doi.org/10.4316/aece.2018.04008 M., REZAEI, P., FRANTI, Displaying geo-referenced data in web mapping systems has become popular. However, most existing systems suffer from three annoying problems: (1) clutter when trying to visualize large amount of data; (2) slowness of transferring data over internet; (3) lack of support for dynamic queries. To solve these problems, we propose a real-time system using server-side clustering, transferring only the clustered data, and client-side visualization using existing map tools. As far as we know, there is no other scientific paper describing such real-time system that allows dynamic database queries without limiting to predefined queries. Experiments show that it can handle up to 1 million objects whereas all existing systems are either limited to pre-defined queries, or they support only a very small number of free parameters in the query whereas the proposed system has no such limitations. Fri, 30 Nov 2018 00:00:00 +0200 Simplified Model and Genetic Algorithm Based Simulated Annealing Approach for Excitation Current Estimation of Synchronous Motor http://dx.doi.org/10.4316/aece.2018.04009 http://dx.doi.org/10.4316/aece.2018.04009 O., KAPLAN, E., CELIK, Reactive power demanded by many loads besides active power is one of the important issue in terms of the efficient use of energy. The optimal solution of reactive power demand can be performed by tuning the excitation current of synchronous motor available in power system. This paper presents an effective application of genetic algorithm-based simulated annealing (GASA) algorithm to solve the problem of excitation current estimation of synchronous motors. Firstly, the multiple linear regression model used in a few studies for estimation of excitation current of synchronous motor, is considered and regression coefficients of this model are optimized by GASA algorithm using training data collected from experimental setup performed. The supremacy of GASA over some recently reported algorithms such as gravitational search algorithm, artificial bee colony and genetic algorithm is widely illustrated by comparing the estimation results. Owing to the observation of weak regression coefficient of load current indicating that it is not much beneficial to excitation current, load current is removed from the regression model. Then, the remaining regression coefficients are tuned to accommodate new modification. It is seen from the findings that both training and testing performance of the simplified model are improved further. The major conclusions drawn from this study are that it introduces a new efficient algorithm for the concerned problem as well as the multiple linear regression model, which has the advantages of simplicity and cost-friendliness. Fri, 30 Nov 2018 00:00:00 +0200 Indoor Localization using Voronoi Tessellation http://dx.doi.org/10.4316/aece.2018.04010 http://dx.doi.org/10.4316/aece.2018.04010 M., ARIF, S., WYNE, A., JUNAID NAWAZ, Recently the use of received signal strength values from a wireless local area network has received significant research interest for indoor localization. This work investigates a Voronoi-based interpolation method to improve indoor localization performance. The region of interest is spanned by reference measurement locations, termed as anchors. The proposed method is shown to outperform well-known localization techniques such as the k-Nearest Neighbor (k-NN) and the Inverse Distance Weighting (IDW) methods in terms of accuracy and precision. Our results show that for a 20 m x 20 m room the proposed scheme can achieve a location accuracy of 5.7 m with at most 5 anchors, whereas the IDW and k-NN techniques attain location accuracies of only 6.1 m and 6.5 m, respectively, under the same conditions. These performance gains are achieved while maintaining the same number of anchors in the system calibration phase for all the considered techniques. Fri, 30 Nov 2018 00:00:00 +0200 Electrical Signature Analysis for Condition Monitoring of Permanent Magnet Synchronous Machine http://dx.doi.org/10.4316/aece.2018.04011 http://dx.doi.org/10.4316/aece.2018.04011 C. P., SALOMON, C., FERREIRA, G., LAMBERT-TORRES, C. E., TEIXEIRA, L. E., BORGES DA SILVA, W. C., SANTANA, E. L., BONALDI, L. E. L., DE OLIVEIRA, Permanent magnet synchronous machines (PMSMs) drives are attractive and have been used in several applications, because of their noteworthy advantages. In some applications, the continuous operation is necessary, and then the PMSM drive outage is unacceptable or may cause great losses. Thus, several studies have been accomplished in order to detect incipient faults in PMSMs. In this context, the electrical signature analysis (ESA) technique is highlighted, because of the feasibility and non-invasive features. ESA allows the fault detection by only analyzing the electrical machine quantities. This paper proposes a study of ESA for PMSM condition monitoring. The review of some fault patterns is presented as well as the development of a scale model laboratory to simulate faults in a real PMSM in operation. The PMSM is used to drive a fluid pumping system, and different types of fluids are tested, being different load conditions from the PMSM point of view. The presented results are promising, encouraging ESA based methodologies for PMSM fault detection. Fri, 30 Nov 2018 00:00:00 +0200 Wavelet-Based Adaptive Anisotropic Diffusion Filter http://dx.doi.org/10.4316/aece.2018.04012 http://dx.doi.org/10.4316/aece.2018.04012 U., TANYERI, R., DEMIRCI, Its multiplicative nature complicates speckle noise reduction in images because of the effort required for separation of noisy pixels from other pixels. In this study, a novel adaptive anisotropic diffusion filter algorithm based on Haar wavelet transform has been proposed. Initially, Haar transform of image to be filtered was taken and then median absolute deviation of wavelet coefficients was used to tune the conductance parameter, K of diffusion filter with different diffusion functions. The suggested strategy has been tested with different images and different noise variances. Moreover, experimental results have been compared with conventional diffusion filters, and also Lee filter and Wiener filter which are frequently used for despeckling. Fri, 30 Nov 2018 00:00:00 +0200 Impact of Photovoltaic Systems Placement, Sizing on Power Quality in Distribution Network http://dx.doi.org/10.4316/aece.2018.04013 http://dx.doi.org/10.4316/aece.2018.04013 A., YMERI, S., MUJOVIC, The paper presents a Decision Tree Algorithm for impact of photovoltaic systems placement and sizing in order to improve power quality in distribution networks. The proposed approach is based primarily on ID3 and J48 Decision Tree Algorithms. With these algorithms, for different sizes of photovoltaic systems, can be defined the optimal location as well as minimal power losses of the distribution network. The simulations were carried out with real data obtained from the Kosovo Distribution Network and visualized with WEKA Toolbox. The obtained results compared with Genetic Algorithm MATLAB toolbox and DIGSILENT/Power factory software, prove that the Decision Tree Algorithm works well with an excellent and fast accuracy. The results from the application of the proposed method showed reduced power losses and optimal location in the distribution network confirmed method's validity. This approach can be used by engineers, electric utilities and distribution network operators for a quick decision with more efficient integration of new photovoltaic systems in the current distribution networks. Fri, 30 Nov 2018 00:00:00 +0200 Design of Crosstalk Prevention Coding scheme based on Quintuplicated Manchester error correction method for Reliable on chip Interconnects http://dx.doi.org/10.4316/aece.2018.04014 http://dx.doi.org/10.4316/aece.2018.04014 P., NARAYANASAMY, S., MUTHURATHINAM, S., GOPALAKRISHNAN, A low power Manchester based error-control code for on-chip interconnection-link has been proposed in this paper. It has a capacity to rectify nonuple errors of random and burst using standard N-Modular Redundancy (N-MR) error correction scheme. Manchester based Rectification of Single Error, Identification of Double Error(M-RSE-IDE) extended-Hamming code, and Quintuplication error correction scheme serves as the backbone for the proposed technique. Besides, both handle different tasks simultaneously. The former prevents the crosstalk of the interlinked-wire with the reduction in the coupling capacitance while the latter consumes less power by transiting data at the center of the bit. A new nonupler-decoding algorithm has put forward in the proposed Quintuplicated Manchester Error Correction (QMEC) to correct nine errors. Different analysis of reliability, area, power, delay and residual flit-error rate; interlink-swing voltage and interlink-power consumption of the designed QMEC code has been performed. The QMEC codec, when running with Manchester, counteracts nonuple errors with 25 percent of power reduction compared to QMEC without Manchester. QMEC not only outlined other existing error control codes by area and power but also reduced link-swing voltage and link power upto 91 percent and 85 percent respectively. Fri, 30 Nov 2018 00:00:00 +0200 An Efficient Deep Learning Algorithm for Fire and Smoke Detection with Limited Data http://dx.doi.org/10.4316/aece.2018.04015 http://dx.doi.org/10.4316/aece.2018.04015 A., NAMOZOV, Y. I., CHO, Detecting smoke and fire from visual scenes is a demanding task, due to the high variance of the color and texture. A number of smoke and fire image classification approaches have been proposed to overcome this problem; however, most of them rely on either rule-based methods or on handcrafted features. We propose a novel deep convolutional neural network algorithm to achieve high-accuracy fire and smoke image detection. Instead of using traditional rectified linear units or tangent functions, we use adaptive piecewise linear units in the hidden layers of the network. We also have created a new small dataset of fire and smoke images to train and evaluate our model. To solve the overfitting problem caused by training the network on a limited dataset, we improve the number of available training images using traditional data augmentation techniques and generative adversarial networks. Experimental results show that the proposed approach achieves high accuracy and a high detection rate, as well as a very low rate of false alarms. Fri, 30 Nov 2018 00:00:00 +0200 Broadcast Cognitive Radio with Dirty Paper Coding over Nakagami-m Fading Channel http://dx.doi.org/10.4316/aece.2019.01001 http://dx.doi.org/10.4316/aece.2019.01001 A., BASGUMUS, M., NAMDAR, T., TSIFTSIS, The symbol error rate (SER) performance analysis of a broadcast underlay cognitive radio (CR) network, under Nakagami-m fading channels is studied in this paper. Particularly, the underlay CR network is studied as a closed loop multiple antenna system, presented with dirty paper coding (DPC) approach with the aim to allowing the secondary user (SU) transmission to utilize the spectrum resources efficiently and avoid interference to the primary user (PU) receiver. The proposed approach is capable of achieving the same performance as that of the zero-forcing (ZF) algorithm over Nakagami-m fading channels at the SU receiver. We further show with the simulation results that the SER and bit error rate (BER) performances of the PU under Nakagami-m and Rician fading channels are significantly improved for the proposed study. Finally, we optimize the power allocation of the PU transmitter and approximately achieve 3 dB performance gain over Nakagami-m fading for the SU receiver. Thu, 28 Feb 2019 00:00:00 +0200 PAELib: A VHDL Library for Area and Power Dissipation Estimation of CMOS Logic Circuits http://dx.doi.org/10.4316/aece.2019.01002 http://dx.doi.org/10.4316/aece.2019.01002 B. S., KIREI, V.-I.-M., CHEREJA, S., HINTEA, M. D., TOPA, In this paper, the PAELib - an occupied area and power dissipation estimation library written in VHDL - and its use cases are presented. Estimates are based on the structural description of a CMOS digital circuit made with gates/components included in the library; they can be achieved with systematic accounting of leaf components in the structural description. The advantage of this library is that it obtains occupied area and power dissipation estimates using a logic simulator, rather than specialized circuit synthesis or power simulation/estimation software. To validate the library, two use cases are presented. In the first use case, the power dissipation of a 5-stage ring oscillator - implemented with logic gates from the CD4000 series - is estimated and a power estimation error of 16% was obtained. In the second use case, a designer must choose between two implementations of the same finite state machine: one implemented with 74HC series binary counter and the other with D flip flops from the same logic family. The answer is not an obvious one, but the PAElib can offer estimates in an early design stage, allowing the designer to take an informed design decision based on circuit power and area estimates. Thu, 28 Feb 2019 00:00:00 +0200 Combinatorial versus Priority Based Optimization in Resource Constrained Project Scheduling Problems by Nature Inspired Metaheuristics http://dx.doi.org/10.4316/aece.2019.01003 http://dx.doi.org/10.4316/aece.2019.01003 S.-I., BEJINARIU, H., COSTIN, D., COSTIN, This paper explores the behavior of the Flower Pollination Algorithm (FPA) and Particle Swarm Optimization (PSO) metaheuristic algorithm in resolving Resource Constrained Project Scheduling Problems (RCPSP) that can model certain practical issues in distributed applications. A RCPSP type problem has at the input a set of activities between which there are precedence relationships and for whose execution it is necessary to allocate resources that are limited. The solution determines the order of execution of the activities with respect to the precedence relations between them and the allocation of the available resources so that the total duration is minimal. The experimental results showed that a near optimal solution can be obtained faster than with other traditional algorithms, mainly for optimization problems in the continuous space. Two versions of FPA and PSO were used, namely combinatorial and priority based optimization. Because during evolution the individuals position changes do not guarantee the precedence order preservation, a new tasks reordering procedure is proposed in this paper. Thu, 28 Feb 2019 00:00:00 +0200 Methods for Estimating One-Diode Model Parameters of Photovoltaic Panels and Adjusting to Non-Nominal Conditions http://dx.doi.org/10.4316/aece.2019.01004 http://dx.doi.org/10.4316/aece.2019.01004 F. H. T., VIEIRA, H. P., CORREA, In this work, we propose a novel method for estimating the one-diode equivalent circuit parameters for photovoltaic (PV) panels in order to obtain accurate current-voltage (I-V) characteristic curves. The performance of the proposed method is compared to those of some works in the literature. We considered as the main comparison parameters the following: root mean square error (RMSE), relative error at the maximum power point and computational processing time. The proposed method provides estimations with low processing time and good precision, the latter being a consequence of a procedure for improving the estimation based on the empirical I-V characteristic curve of the PV panel. Subsequently, we present a new method for adjusting the estimated I-V characteristic curve according to variations in ambient conditions. To this end, we develop a simple representation of the parameter adjustment via an equivalent circuit. The proposed adjustment method accuracy is also compared to those of other methods established in the literature, attaining better performance in terms of RMSE and other error indexes. Thu, 28 Feb 2019 00:00:00 +0200 A Novel Approach for Activity Recognition with Down-Sampling 1D Local Binary Pattern Features http://dx.doi.org/10.4316/aece.2019.01005 http://dx.doi.org/10.4316/aece.2019.01005 F., KUNCAN, Y., KAYA, M., KUNCAN, The sensors on the mobile devices directly reflect the physical and demographic characteristics of the user. Sensor signals may contain information about the gender and movement of the person. Automatic recognition of physical activities often referred to as human activity recognition (HAR). In this study, a novel feature extraction approach for the HAR system using the mobile sensor signals, the Down Sampling One Dimensional Local Binary Pattern (DS-1D-LBP) method is proposed. Feature extraction from signals is one of the most critical stages of HAR because the success of the HAR system depends on the features extraction. The proposed HAR system consists of two stages. In the first stage, DS-1D-LBP conversion was applied to the sensor signals in order to extract statistical features from the newly formed signals. In the last stage, classification with Extreme Learning Machine (ELM) was performed using these features. The highest success rate was 96.87 percent in the experimental results according to the different parameters of DS-1D-LBP and ELM. As a result of this study, the novel approach demonstrated that the proposed model performed with a high success rate using mobile sensor signals for the HAR system. Thu, 28 Feb 2019 00:00:00 +0200 Efficient Shape Classification using Zernike Moments and Geometrical Features on MPEG-7 Dataset http://dx.doi.org/10.4316/aece.2019.01006 http://dx.doi.org/10.4316/aece.2019.01006 S., ABBAS, S., FARHAN, M. A., FAHIEM, H., TAUSEEF, There is an urgent need and demand for manipulating images to extract useful information from them. In every field, whether it is biotechnology, botany, medical, robotics or machinery, the demand for extracting useful aspects of a specific targeted image is growing. Effective systems and applications have been introduced for this purpose: CBIR and MPEG-7 are most common applications. Shape extraction and recognition is used in image retrieval and matching. Complex objects can be identified and classified by extracting their shape. This paper proposes an efficient algorithm for shape classification. Analyses are made on MPEG-7 dataset using 1400 images belonging to 70 classes. Zernike Moments descriptor and geometrical features are used for classification purposes. Cross validation and percentage split are used to evaluate the proposed scheme. Experimental results proved the efficiency of the proposed approach with an accuracy of 92.45 percent on the challenging dataset. Thu, 28 Feb 2019 00:00:00 +0200 Circular Derivative Local Binary Pattern Feature Description for Facial Expression Recognition http://dx.doi.org/10.4316/aece.2019.01007 http://dx.doi.org/10.4316/aece.2019.01007 I., TCHANGOU TOUDJEU, J.-R., TAPAMO, This paper presents a novel feature extraction technique called circular derivative local binary pattern (CD-LBP) for Facial Expression Recognition (FER). Motivated by uniform local binary patterns (uLBPs) which exhibits high discriminative potential at a reduced data dimension of the original LBP feature vector, we extract CD-LBP feature descriptors as a result of binary derivatives of the circular binary patterns formed by LBPs. Seven datasets consisting of CD-LBP feature vectors are derived from the Japanese female facial expression (JAFFE) database, fed individually in a K-nearest neighbor classifier and evaluated with respect to their respective recognition rate and feature vector size. The experimental results demonstrate the relevance of the proposed feature description especially when performance metrics such as recognition accuracy and running time are considered. Thu, 28 Feb 2019 00:00:00 +0200 Design Options for Current Limit and Power Limit Circuit Protections for LDOs http://dx.doi.org/10.4316/aece.2019.01008 http://dx.doi.org/10.4316/aece.2019.01008 C.-S., PLESA, B., DIMITRIU, M., NEAG, This paper presents novel circuitry for protection of the power transistor in LDOs with adjustable output voltage implemented in BJT technologies. First, an improvement is proposed to a current limit circuit reported previously, that significantly reduces the variation of the value the output current is limited to, caused by setting the output voltage to different values. Next, two circuits for ensuring that the power transistor operates within its safe operating area are introduced; they are based on the proposed current limit circuit, but its activation point is no longer proportional to the output current but to the sum of the output current and a current proportional to the voltage drop across the power transistor. Finally, a circuit that monitors and limits the power dissipated is described; it also employs the proposed current limit circuit but this time the activation point is proportional to the product of the output current and the voltage drop across the power transistor. Three LDOs that employ the three types of protections proposed here are then compared, considering the power dissipated by the power transistor and the resulting maximum die temperature. Thu, 28 Feb 2019 00:00:00 +0200 Improvements on the Incremental Conductance MPPT Method Applied to a PV String with Single-Phase to Three-Phase Converter for Rural Grid Applications http://dx.doi.org/10.4316/aece.2019.01009 http://dx.doi.org/10.4316/aece.2019.01009 L. F. C., MONTEIRO, C. M., FREITAS, M. D., BELLAR, A power electronic interface that integrates a photovoltaic string with a single-phase grid to feed a three-phase induction motor, while driving a fan-type load, is presented. The interface is composed of a single-phase active rectifier and a three-phase inverter with output transformer, wherein the Photovoltaic (PV) string is straightly connected to the DC-link, avoiding the use of additional converter for maximum power point tracking, commonly seen in previous works. However, in this system configuration, disturbances at the DC-link may occur due to increments and decrements of load active power, with consequent low-frequency oscillations at the AC grid side of the active rectifier. Therefore, a modified Incremental Conductance based algorithm is proposed, with which low-frequency oscillations around the maximum power point are minimized even under disturbances at the DC-link. Moreover, the overall system energy management, composed of control algorithms, that integrates maximum power point identification , DC-link voltage regulation, motor speed controller and power quality at the input AC mains, is also proposed. Simulation results are provided to evaluate the system effectiveness under AC mains with voltage sag occurrence, load transient and steady-state conditions at different solar irradiance levels. Thu, 28 Feb 2019 00:00:00 +0200 A Current Mode Design of Fractional Order Universal Filter http://dx.doi.org/10.4316/aece.2019.01010 http://dx.doi.org/10.4316/aece.2019.01010 I. E., SACU, M., ALCI, In this paper, low-voltage active elements based a general filter topology, which provides fractional order low-pass, high-pass, band-pass and band-reject filter responses at the same circuit, is introduced. The designed circuits are simulated by employing 0.35um TSMC CMOS technology parameters as well as SPICE software. The power supplies are +/- 0.75 V. The power dissipations of simulated filters are below ten microwatts. The introduced circuit topology offers electronically adjustment of the order, coefficients and frequency response of the related filter without any structural change on the proposed general circuit topology. Furthermore, only grounded capacitors are used in the circuits. At the same the designed topology is based on resistor-less realization. Finally, the introduced topology is also verified experimentally. Thu, 28 Feb 2019 00:00:00 +0200 Generic Feature Selection Methodology to Named Entity Detection from Indian and European Languages http://dx.doi.org/10.4316/aece.2019.01011 http://dx.doi.org/10.4316/aece.2019.01011 C. S., MALARKODI, S. L., DEVI, This paper describes the development of language and domain independent Named Entity Recognition (NER) system which can identify named entities from any given dataset irrespective of the language and domain. The main novelty of the present work is the generic feature selection methodology which has been applied to 7 Indian languages and 5 European languages. The generic feature selection methodology was done in two ways; first using frequency based approach; secondly k-means++ clustering algorithm was used to validate the patterns obtained in the frequency based approach. The dataset used for the experiments belongs to different genre. To the best of our knowledge we are the first to work on the development of cross-lingual Named Entity (NE) system with 12 languages belongs to different language families. We have done the 10-fold cross validation and the system output has been analyzed for all the languages and causes of error cases was discussed in the error analysis section. The performance of our system is also compared with the existing systems. Thu, 28 Feb 2019 00:00:00 +0200 Adaptive Quality Control Scheme Based on VBR Characteristics to Improve QoE of UHD Streaming Service http://dx.doi.org/10.4316/aece.2019.01012 http://dx.doi.org/10.4316/aece.2019.01012 M., KIM, K., CHUNG, Recently, with the development of networks and smart devices, the demand for Ultra High Definition (UHD) video has risen, and HTTP adaptive streaming has attracted attention. HTTP adaptive streaming can guarantee high Quality of Experience (QoE) because it adaptively selects the video quality according to the network state. However, the existing quality control schemes experience unnecessary quality changes and low average video quality due to the bandwidth measurement and the quality control that do not consider the Variable Bit Rate (VBR) content characteristics of the UHD video. In this paper, we propose an adaptive quality control scheme based on VBR content characteristics to improve QoE of UHD streaming service. The proposed scheme measures the bandwidth using the actual bit rate of the segment and the difference in the network adaptability between segments. Furthermore, the proposed scheme defines a quality control region by considering the buffer state of the client. The quality control region consists of four subregions based on buffer thresholds, and the client selects the quality differently according to each subregion. Experimental results have shown that the proposed scheme improves the QoE compared to the existing schemes by minimizing the unnecessary quality changes and maximizing the average video quality. Thu, 28 Feb 2019 00:00:00 +0200 A Method Based on Lorenz Disturbance and Variational Mode Decomposition for Wind Speed Prediction http://dx.doi.org/10.4316/aece.2019.02001 http://dx.doi.org/10.4316/aece.2019.02001 Y., ZHANG, S., GAO, M., BAN, Y., SUN, Wind power is one of the most promising means of power generation. But the time-varying of wind speed is the most fundamental problem for power generation control system. Therefore, accurate wind speed prediction becomes particularly important. However, traditional wind speed predictions often lack consideration of the influence of atmospheric dynamic system. And few papers have introduced VMD method into the field of wind speed prediction. Thus, combined with four neural networks, this paper develops a wind speed prediction method based on Lorenz system and VMD, obtains LD-VMD-Elman wind speed prediction model. Simulation results show that: 1) As for wind speed prediction, Elman neural network has higher prediction accuracy and smaller error. 2) The models which added Lorenz disturbance can describe the actual physical movement of wind more accurately. 3) VMD can abstract the changing rules of different wind speed frequencies to improve the prediction effect. This paper makes up for the lack of consideration of atmospheric dynamic system. The Lorenz equation is used to describe the atmospheric dynamic system, which provides a new thought for wind speed prediction. The LD-VMD-Elman model significantly improves the accuracy of wind speed prediction and contribute to the power dispatch planning. Fri, 31 May 2019 00:00:00 +0300 Differential Evolution Implementation for Power Quality Disturbances Monitoring using OpenCL http://dx.doi.org/10.4316/aece.2019.02002 http://dx.doi.org/10.4316/aece.2019.02002 F. J., SOLIS-MUNOZ, R. A., OSORNIO-RIOS, R. J., ROMERO-TRONCOSO, A. Y., JAEN-CUELLAR, This article presents a new methodology to implement a computational parallel scheme based on Differential Evolution (DE) algorithm through the use of Graphical Processing Units (GPU). A system application in which it is possible to perform an online monitoring of Power Quality Disturbances (PQD) in electric grids is presented as a case study, where a fitting of the parameters of a mathematical model is performed through this technique. Hyper-parameter optimization of the parallel Differential Evolution algorithm is performed for the assigned fitting function. As a result of this parallel implementation, a speed-up of 37 times compared with the serial implementation is achieved by using a single low budget GPU. The work presented shows a significant speed and accuracy improvement compared with Micro-Genetic Algorithm for Power Quality Analysis (MGA-PQA) technique. Fri, 31 May 2019 00:00:00 +0300 Automatic Detection and Bypassing of Anti-Debugging Techniques for Microsoft Windows Environments http://dx.doi.org/10.4316/aece.2019.02003 http://dx.doi.org/10.4316/aece.2019.02003 J., PARK, Y.-H., JANG, S., HONG, Y., PARK, In spite of recent remarkable advances in binary code analysis, adversaries are still using diverse anti-reversing techniques for obfuscating code and making analysis difficult. Unlike most of the previous work that relies on debugger-plugins for neutralizing anti-debugging techniques, we focus on the Pin, which is one of the most widely used DBI (Dynamic Binary Instrumentation) tools in 80x86 environments. In this paper, we present an automatic anti-debugging detection/bypassing scheme using the Pin. In order to evaluate the effectiveness of our algorithm, we conducted experiments on 17 most widely used (commercial) protectors, which results in bypassing all anti-debugging techniques automatically. Particularly, our experiment includes Safengine, which is one of the most complex commercial protectors and, to the best of our knowledge, it has not been successfully analyzed by academic researchers up to now. Also, experimental results show that the proposed scheme performs better than the most recent work, Apate. Fri, 31 May 2019 00:00:00 +0300 Model Parameters of Electric Motors for Desired Operating Conditions http://dx.doi.org/10.4316/aece.2019.02004 http://dx.doi.org/10.4316/aece.2019.02004 A., SEVINC, Researchers dealing with electric motor control simulations need motor parameters for some desired operating conditions. Despite such an obvious need, no algorithm yielding motor parameters can be found even for the basic set of desired "voltage, output power, speed and efficiency" in the literature. A lot of electric motor design methods exist; but all give the physical design parameters for manufacturing such as numbers and dimensions of slots, magnets and turns. They are usually based on design requirements that only experienced people can understand and the mentioned basic demand set is not completely included among them. This article covers the deficiency of the algorithms giving all the model parameters required for the control simulations for dc servo, induction, and synchronous motors according to simple design requirements that an inexperienced researcher can easily understand. A transformer design algorithm is also included. The induction motor and salient-pole synchronous motor algorithms are the main contributions. The propositions can be used even if the demands are given for generator mode with some care. These algorithms may also be considered as another kind of design and they may help to reduce physical designs to lower-level steps according to simple design requirements. Fri, 31 May 2019 00:00:00 +0300 Immunity Characterization of FPGA I/Os for Fault-Tolerant Circuit Designs against EMI http://dx.doi.org/10.4316/aece.2019.02005 http://dx.doi.org/10.4316/aece.2019.02005 V. T., NGUYEN, M. T., DAM, J., SO, J.-G., LEE, This paper characterizes the immunity of I/Os under different supply voltages for fault-tolerant circuit designs against electromagnetic interference. The direct power injection approach is used as a means to characterize the immunity of circuits. In this work, the immunity characterization has been performed under two scenarios: (1) an input buffer of a Field Programmable Gate Array (FPGA) followed by a single flip-flop, and (2) the FPGA input buffer followed by a redundancy-based fault-tolerant circuit. The experimental results show that when downscaling the supply voltage through a set of nominal values (i.e., 3.3, 2.5, 1.8, 1.5, 1.2 V), the immunity of I/Os is decreased from the highest level at 3.3 V to the lowest at 1.2 V. Particularly, the maximum difference in the immunity is about 16.8 dB at the frequency of 600 MHz. Moreover, experiments demonstrate that I/O buffers followed by the redundancy-based fault-tolerant circuit can improve the immunity of the circuit up to 4 dB below the frequency band of 400 MHz. Thus, the redundancy-based fault-tolerant circuit can support I/Os to operate reliably in the harsh environment. Fri, 31 May 2019 00:00:00 +0300 Analysis of Downlink Uplink Decoupled Dense Heterogeneous Cellular Network based on User Association using Multi-Slope Path Loss Model http://dx.doi.org/10.4316/aece.2019.02006 http://dx.doi.org/10.4316/aece.2019.02006 S., ALI, M. I., ASLAM, J., AHMED. I., Keeping in consideration the expected need of node densification of heterogeneous cellular networks in near future, it is imperative that more accurate path loss models be used when analyzing heterogeneous cellular networks performance in terms of user equipment association probability, coverage probability and spectral efficiency. In this paper, we have derived the generalized user equipment association probabilities expressions of a two-tier Dense Heterogeneous Cellular Network incorporating Downlink Uplink Decoupled technique using multi-slope path loss model, which incorporates the effect of physical environment on the path loss based on separation between transmitter and receiver. For analyzing network performance, we have considered dual-slope and tri-slope path loss models as special cases. The derived analytical expressions have been validated through network simulations and found in good agreement. The results have also been compared with conventional single-slope path loss model and it has been found that the decoupled uplink downlink association probability is higher when incorporating multi-slope path loss model as compared to single-slope path loss model. Fri, 31 May 2019 00:00:00 +0300 Stochastic Algorithms for Controller Optimization of Grid Tied Hybrid AC/DC Microgrid with Multiple Renewable Sources http://dx.doi.org/10.4316/aece.2019.02007 http://dx.doi.org/10.4316/aece.2019.02007 P. B., NEMPU, J. N., SABHAHIT, The hybrid AC/DC microgrid (MG) configuration is efficient as it reduces the need for multiple power conversions and hence losses. Therefore, this paper focuses on the study of grid assisted hybrid AC/DC MG comprising of solar PV and fuel cell (FC) systems on DC subgrid with supercapacitor (SC) as the short term storage device and wind energy conversion system (WECS) on the AC subgrid. A comprehensive study of the operation of MG is performed under varying system conditions in MATLAB/Simulink software. The real and reactive power (PQ) control scheme is used to regulate the DC bus voltage and power flow between the subgrids. Genetic algorithm (GA), artificial bee colony (ABC) optimization, particle swarm optimization (PSO) and the PSO with new update mechanism (PSOd) are used to compute the optimum gain values of proportional-integral (PI) controller in the PQ control scheme. The SC bank effectively reduces the power stress on the subgrids of the proposed hybrid MG system during intermittent conditions of load and generation. In addition, a comparative study of the heuristic optimization techniques is presented in detail. The ABC algorithm is found to arrive at the best results in determining the optimal gains of PI controller. Fri, 31 May 2019 00:00:00 +0300 Reassigned Short Time Fourier Transform and K-means Method for Diagnosis of Broken Rotor Bar Detection in VSD-fed Induction Motors http://dx.doi.org/10.4316/aece.2019.02008 http://dx.doi.org/10.4316/aece.2019.02008 N. A., OJEDA-AGUIRRE, A., GARCIA-PEREZ, R. J., ROMERO-TRONCOSO, D., MORINIGO-SOTELO, O., DUQUE-PEREZ, D., CAMARENA-MARTINEZ, Over the years induction motors have established an uncanny knack for providing a plethora of utilities in the industry, where the fault monitoring and detection has become necessary. Several techniques could be applied for the monitoring and identification of broken rotor bars when the motor is fed by a variable speed drive (VSD). Nevertheless, many of these methodologies detect this fault and other failures in the steady state condition, but this monitoring grow into more complicated analysis during the startup transient condition owing to the large number of harmonics, which the VSD insert to the current signal. The novelty of the proposed methodology is the application of the reassignment during the startup transient and the steady state conditions to identify one broken rotor bar in the induction motor. The proposed methodology is experimented with both, real and synthetic signals. The problems that Short Time Fourier Transform (STFT), shows for the identification of broken rotor bars are exhibited. The proposed methodology includes an automatic diagnosis (K-means algorithm), where the signal energy is used. The results show that the Reassigned Short Time Fourier Transform (RSTFT) technique and K-means methods are appropriated for the effective monitoring and diagnosis of one broken rotor bar in the induction motor during the startup and steady state conditions of operation. Fri, 31 May 2019 00:00:00 +0300 Pupil Segmentation Using Orientation Fields, Radial Non-Maximal Suppression and Elliptic Approximation http://dx.doi.org/10.4316/aece.2019.02009 http://dx.doi.org/10.4316/aece.2019.02009 S., LEE, D., LEE, Y., PARK, This paper proposes a novel pupil segmentation method for robust iris recognition systems. The proposed method uses orientation fields to accurately detect an initial pupil center, and applies radial non-maximal suppression to remove non-pupil boundaries. Finally, we repeatedly fit the pupil boundary by radius-updating, center-shifting and region of interest (ROI) shrinking adjusting the radius and center of a circular model, and the estimated pupil boundary is approximated with a novel elliptic model. By the elliptic approximation, the pupil boundaries are more correctly segmented than those of circular models. The detection hit ratio is largely improved due to robust detection of the initial centers. The experimental results show that the proposed method can accurately detect pupils for various iris images. Fri, 31 May 2019 00:00:00 +0300 A Diagonally Weighted Binary Memristor Crossbar Architecture Based on Multilayer Neural Network for Better Accuracy Rate in Speech Recognition Application http://dx.doi.org/10.4316/aece.2019.02010 http://dx.doi.org/10.4316/aece.2019.02010 M.-H., VO, A novel binary memristor crossbar architecture based on multilayer neural networks is proposed in the speech recognition application. Here, the memristor crossbar circuit acts as the weights of the neural network combined with the activation function circuit to determine the output. In the new crossbar architecture, the weights are arranged diagonally and divided into 2 arrays according to positive and negative weights. A speech recognition application for 5 vowels is implemented using the proposed architecture. The result shows that the average recognition rate achieves from 94 percent to 96.6 percent over 1000 audio samples. A statistical table shows that the recognition rate and the number of the memristors increase correspondingly to the number of used bits. From the Monte Carlo simulation, the recognition rate of the proposed binary memristor crossbar is decreased slightly from 94 percent to 93.7 percent, while the memristance variation is increased from 1 percent to 15 percent. Fri, 31 May 2019 00:00:00 +0300 A New Single-Stage Three-Phase PFC for Four-Switch Three-Phase Inverter Fed IM Drives http://dx.doi.org/10.4316/aece.2019.02011 http://dx.doi.org/10.4316/aece.2019.02011 M., ZAKY, T., FETOUH, H., AZAZI, This paper proposes a single-stage three-phase power factor correction (PFC) for four-switch inverter (FSI) fed induction motor (IM) drives. The PFC scheme uses a Cuk converter with only one switch, and consequently, it needs only one control signal. This attains low computation burden, simple control algorithm, and minimum cost. A new PFC control technique is proposed to guarantee sinusoidal supply currents with high power factor (PF) and low total harmonic distortion (THD). Moreover, the PFC technique regulates the DC bus voltage. Equivalent circuits of the Cuk converter operating in two modes are deduced, its mathematical modeling and analysis are performed. The proposed drive system is built using MATLAB/Simulink and operates in real-time using a prototype system which consists of a DSP-DS1104 digital control board and an IM. The efficacy of the Cuk converter is verified by extensive tests in various operating conditions. Fri, 31 May 2019 00:00:00 +0300 Determining Selection of Recloser Clusters to Automate Power Grids via Integer Programming and Statistical Current Analysis http://dx.doi.org/10.4316/aece.2019.02012 http://dx.doi.org/10.4316/aece.2019.02012 F. H. T., VIEIRA, R. R. C., VAZ, R. A. P., FRANCO, M. L., CARNEIRO, S. G., ARAUJO, This work presents a methodology for the deployment of Self-Healing systems in distribution grids in order to decrease continuity indexes such as the Equivalent Duration of Interruption per Consumer Unit. The proposed methodology consists in choosing feeders to receive Self-Healing system based on their performances in relation to the Equivalent Duration of Interruption per Consumer Unit. To this end, this methodology addresses current in the conductors and the number of consumers. In order to determine recloser cluster priorities, it is proposed to consider statistical analysis of current values by Decision theory and Binary Linear Programming. The results show that the application of the proposed methodology for determining recloser cluster priorities and cluster selection has great impact on the system operation since it is related to the number of served consumers, failure rates and compensation for the system. Fri, 31 May 2019 00:00:00 +0300 Controllable AC/DC Integration for Power Quality Improvement in Microgrids http://dx.doi.org/10.4316/aece.2019.02013 http://dx.doi.org/10.4316/aece.2019.02013 A., KARABIBER, Renewable energy sources can be connected to utility grids by using AC and DC integration methods. The AC integration is a practical and cost-effective method thanks to its simple structure; however, its power quality protection is weak. The DC integration method provides high power quality to microgrids owing to extra AC/DC voltage conversion, but its power efficiency is lower than that of the AC integration method. This paper presents a controllable AC/DC integration method combining the advantages of both AC and DC integration methods. In the proposed method, AC integration is activated to provide high integration efficiency at times when the power quality of the utility grid is suitable. At other times when the power quality of the utility grid is unsuitable, DC integration is activated to improve the power quality of the microgrids. The proposed method was modeled and tested using Matlab/Simulink simulation environment. In the model, voltage sag and current harmonic distortion were used as destructive effects for the electrical energy of the utility grid. Results indicate that transitions between AC and DC integration modes are reliable in terms of voltage and current standards. Fri, 31 May 2019 00:00:00 +0300 Modeling of Back-Propagation Neural Network Based State-of-Charge Estimation for Lithium-Ion Batteries with Consideration of Capacity Attenuation http://dx.doi.org/10.4316/aece.2019.03001 http://dx.doi.org/10.4316/aece.2019.03001 S., ZHANG, X., GUO, X., ZHANG, The state of charge of lithium-ion batteries reflects the power available in the battery. Precise SOC estimation is a challenging task for battery management system. In this paper, a novel hybrid method by fusion of back-propagation (BP) neural network and improved ampere-hour counting method is proposed for SOC estimation of lithium-ion battery, which considers the impact of battery capacity attenuation on SOC estimation during the process of charging and discharging. The predictive accuracy and effectiveness of model are validated by NASA lithium-ion battery dataset. Moreover, the adaptability and feasibility of this method are further demonstrated using dataset of accelerated life experiment. The validation results indicate that the proposed method can provide accurate SOC estimation in different capacity attenuation stage. Sat, 31 Aug 2019 00:00:00 +0300 Top-Down Approach to the Automatic Extraction of Individual Trees from Scanned Scene Point Cloud Data http://dx.doi.org/10.4316/aece.2019.03002 http://dx.doi.org/10.4316/aece.2019.03002 X., NING, G., TIAN, Y., WANG, Urban trees are essential elements in outdoor scenes recorded via terrestrial laser scanning. Although considerable interest has been centered on tree detection and reconstruction in recent years, trees cannot be easily extracted from dense and unorganized data because of the complexity and diversity of trees. In this paper, we present a top-down approach for detecting trees from point cloud data acquired for dense urban areas. Appropriate feature subsets are chosen, and then the candidate tree clusters are selected via a binary classification. After distinguishing the 3D points belonging to tree-like objects, individual trees are extracted by spectral clustering. Furthermore, a weighted constraint rule is proposed to refine the individual tree clusters. The methodology is tested on five real-world datasets that include different varieties of trees. The results reveal that most of the individual trees can be correctly detected and extracted. The results are quantitatively evaluated and reveal a global F1 value of approximately 97 percent and a precision of approximately 98 percent. Comparative analysis on the datasets is also provided to prove the effectiveness of our proposed method. Sat, 31 Aug 2019 00:00:00 +0300 HPOFS: A High Performance and Secured OpenFlow Switch Architecture for FPGA http://dx.doi.org/10.4316/aece.2019.03003 http://dx.doi.org/10.4316/aece.2019.03003 C., PHAM-QUOC, D.-M., NGO, T. N., THINH, Although Software Defined Networking offers many advantages, it suffers from many security issues due to centralized control. In this paper, we introduce HPOFS (High-Performance and Secured OpenFlow Switching Architecture) for FPGA which is not only able to route packets from sources to destinations according to the OpenFlow protocol but also able to protect the system against different attacks efficiently. Thanks to FPGA technology, the two processes can be scheduled in parallel; thus, the switch can work at very high throughput. We implement the first prototype version on Xilinx xc5vtx240t FPGA device with three different security functions to protect the system against DDoS attack types, including Hop-count filtering, port Ingress/Egress filtering, and SYN Flood attacks defender. While the first two protection techniques are adapted from our previous work, the SYN Flood defender core is designed and implemented with a pipeline model in this work. The core is able to protect the system against SYN Flood attacks at up to 30,000,000 packets per second with only 0.248 ms overhead. The full switch can provide throughput at up to 78.96 Gbps with only 0.0012 percent drop rate. Sat, 31 Aug 2019 00:00:00 +0300 A Novel Power Curve Modeling Framework for Wind Turbines http://dx.doi.org/10.4316/aece.2019.03004 http://dx.doi.org/10.4316/aece.2019.03004 M., YESILBUDAK, This paper presents two main novelties concerning power curve modeling of wind turbines. First novelty lies in the hybridization of 5 widely-used parametric functions and 8 recently-developed metaheuristic optimization algorithms. While constructing new hybrid power curve models, design coefficients of 4-parameter and 5-parameter logistic, 5th-order and 6th-order polynomial and modified hyperbolic tangent functions are fitted with ant lion, grey wolf, moth-flame and multi-verse optimizers and whale optimization, sine cosine, salp swarm and dragonfly algorithms. The best hybrid power curve model is achieved by the grey wolf optimizer-based modified hyperbolic tangent function in terms of the goodness-of-fit indicators. Second novelty lies in the integration of a well-known partitional clustering method to the best hybrid power curve model developed. While building a novel integrative power curve model, design coefficients of grey wolf optimizer-based modified hyperbolic tangent function are solved using only the highly representative data points identified by the Squared Euclidean-based k-means clustering algorithm. The operational characteristics of the wind turbine power curve are reflected with a higher accuracy. As a crucial result, the proposed power curve modeling framework is shown to be superior for wind turbines. Sat, 31 Aug 2019 00:00:00 +0300 Dynamic Heart Rate Measurements from Video Sequences using Canonical Component Analysis http://dx.doi.org/10.4316/aece.2019.03005 http://dx.doi.org/10.4316/aece.2019.03005 S.-S., LING, R., PARAMESRAN, Y.-P., YU, Dynamic heart rate computation from facial images obtained from video sequences has random artifacts and noises. A novel method is formulated by assuming that two video durations will contain the heart rate signals that are strongly correlated to each other while the random artifacts and noises are not correlated to each other. Canonical Component Analysis (CCA) is used to recover the heart-rate signals by determining the maximum correlation of the two video durations. The identified heart signal is then passed to a bandpass filter (0.8 - 4Hz) followed by Fast Fourier Transform to obtain the heart rate. Two experiments related to increasing and decreasing heart rate variations are carried out to determine the effectiveness of the proposed method. Eight subjects participated in each experiment, where their facial images were captured for a minute while they were cycling. Their heart rates varied from 83 to 153 beats per minute (BPM). The results of the proposed method are compared to a method using independent component analysis (ICA). The root mean square errors (RMSE) for the proposed method and ICA based-method that used 5-second video duration for the first and second experiments are 3.70 BPM and 2.33 BPM and 14.36 BPM and 9.72 BPM, respectively. Sat, 31 Aug 2019 00:00:00 +0300 Spectral Subband Centroid Energy Vectors Algorithm and Artificial Neural Networks for Acoustic Emission Pattern Classification http://dx.doi.org/10.4316/aece.2019.03006 http://dx.doi.org/10.4316/aece.2019.03006 M. T. B., FLORENTINO, E. G., Da COSTA, T. V., FERREIRA, A. D., GERMANO, This work proposes and evaluates a methodology for monitoring and diagnosis of polymeric insulators in operation based on the parameterization of acoustic emissions (AE) created by corona and electrical surface discharges. The parameterization was performed with the use of the spectral subband centroid energy vectors (SSCEV) algorithm, which compresses the frequency spectrum and presents the results of the AE energies in several frequency bands. Thus, it was possible to calculate the dominant acoustic emission frequencies. This parameter was used as reference for an operating point of the insulators and, therefore, it was used to classify them. This classification was correlated to the classification obtained by visual inspection in the laboratory, where the insulators were divided into three distinct classes: clean, polluted and damaged. Aiming to insert an aid to the decision-making, this work still proposes the use of artificial neural networks (ANN) for pattern recognition. In this way, we performed a sensitivity analysis of the parameters that influence the SSCEV and ANN, in order to obtain the values and configurations with higher performance. The use of Levenberg-Marquardt training algorithm has proved to be more suitable, since it showed hit rates and convergence up to 97.66 percent and 70 epochs, respectively. Sat, 31 Aug 2019 00:00:00 +0300 Compiler Optimization on Instruction Scheduling for a Specialized Real-Time Floating Point Soft-Core Processor http://dx.doi.org/10.4316/aece.2019.03007 http://dx.doi.org/10.4316/aece.2019.03007 M., KIRCHHOFF, L., WAGNER, W., FENGLER, This paper presents the authors' research in the field of specialized optimizing assembly language compilers for embedded real-time soft-core processor systems on FPGAs. With this soft-core processor, we are targeting a highly specialized field of applications that require large floating-point precision and other unique characteristics. Therefore, a specialized optimizing assembly language compiler is necessary in order to provide the needed machine code and optimize it in a way that efficient usage of the internal parallelism mechanisms is possible, resulting in major performance benefits on single-core, multi-core and vector processors. One important key feature is the design-time analyzability to meet the hard real-time constraints of any given problem. Sat, 31 Aug 2019 00:00:00 +0300 A Fuzzy AHP Approach for Security Risk Assessment in SCADA Networks http://dx.doi.org/10.4316/aece.2019.03008 http://dx.doi.org/10.4316/aece.2019.03008 J. D., MARKOVIC-PETROVIC, M. D., STOJANOVIC, S. V., BOSTJANCIC RAKAS, In this paper we propose a new method for security risk assessment in Supervisory Control and Data Acquisition (SCADA) networks. The method consists of the three phases, namely the objective phase, the subjective phase and the final assessment phase. The objective phase deals with the analysis of SCADA historical data. The subjective phase takes into account the experience of relevant experts. The final assessment phase takes into account outputs from both the objective and subjective phases. Fuzzy logic has been applied in all three phases, while analytic hierarchy process (AHP) has been used in subjective phase, due to its suitability to evaluate the experts' competency. The method is evaluated on a case study regarding the real run-off-river hydropower plant. Evaluation results have clearly indicated benefits of the proposed method in comparison with the purely objective approach, in terms of more precise risk assessment and higher return on security investment. Sat, 31 Aug 2019 00:00:00 +0300 Tuning Logic Simulator for Estimation of VLSI Timing Degradation under Aging http://dx.doi.org/10.4316/aece.2019.03009 http://dx.doi.org/10.4316/aece.2019.03009 M., MILIC, The importance of aging effects analysis in VLSI circuits increases with nowadays fast scaling of integrated circuits manufacturing technologies. Delays along paths in a digital circuit are crucial parameters that define the circuit working frequency. They degrade over time resulting in delay faults and circuit failures. The prediction of circuit long-term behavior is useful mechanism for ensuring a VLSI's lifetime reliability. In particular, paths in a digital circuit that have the largest delays are the most sensitive to gates' delay fluctuations, and consequently aging. Delay of those paths can be obtained using either aging sensors or through statistical analysis of accelerated aging experiments, but such approaches can be very difficult, time consuming and expensive for implementation. This paper suggests a new methodology capable to estimate the aging effect to digital circuit delays along multiple paths, simultaneously. The proposed technique has been developed for circuits described at a gate level, and implemented within a standard logic simulator, which enables aging analysis in initial phases of system design process. Results show that proposed methodology can efficiently estimate the long-term timing behavior of the digital circuit in a very early design stages with a small computational effort, helping the designer in selection of most reliable design choices. Sat, 31 Aug 2019 00:00:00 +0300 Integrated Database System with Spatial Information for Disaster Risk Management http://dx.doi.org/10.4316/aece.2019.03010 http://dx.doi.org/10.4316/aece.2019.03010 E. E. C., OSORIO, B., HAYAT, B., SHAH, F., CHOW, K.-I., KIM, Despite availability of various image sources for specific areas, a new disaster management system is likely to be implemented by using only one of them. Thus, its applicability and extensibility are severely limited. In addition, real-time update for the disaster area is one of the crucial functions for search and rescue activities. To meet the aforementioned requirements, in this paper, we propose a new spatial data infrastructure by defining the methodological scheme for the raster information. The proposed system has four respective layers to reduce the management cost as well as provide a flexible architecture. In each layer, various open source software or standard technologies are employed to perform the given tasks. The experimental results reveal that the proposed scheme accommodates the requirements for disaster risk management and meets the performance requirements in an efficient way. Sat, 31 Aug 2019 00:00:00 +0300 Estimation of Spatial Channel Model in a Wireless Ultra-Wide-Area Backhaul Network using the Deterministic Ray Tube Method http://dx.doi.org/10.4316/aece.2019.03011 http://dx.doi.org/10.4316/aece.2019.03011 D., YUN, Y., KIM, I., JUNG, H., JUNG, H., KANG, This paper presents an analysis of channel characteristics in a wireless ultra-wide-area backhaul network based on deterministic ray tube (DRT) ray tracing. The accurate knowledge of spatial temporal channel characteristics enables system-level simulations of wireless communication systems. However, few papers have been published on the analysis of channel characteristics in an ultra-wide-area backhaul network, which is one of a promising fifth generation (5G) scheme. In this paper, we conduct an analysis of the outdoor propagation environment using the DRT ray tracing. Spatial temporal channel parameters are then calculated using linear regression and multipath clustering algorithm. The proposed analysis scheme is verified by comparing the results of existing scenario with the reference spatial channel model (SCM) parameters. Channel characteristics in the wireless ultra-wide-area backhaul scenarios are then investigated. Sat, 31 Aug 2019 00:00:00 +0300 Spatial Video Forgery Detection and Localization using Texture Analysis of Consecutive Frames http://dx.doi.org/10.4316/aece.2019.03012 http://dx.doi.org/10.4316/aece.2019.03012 M., SADDIQUE, K., ASGHAR, U. I., BAJWA, M., HUSSAIN, Z., HABIB, Now-a-days, videos can be easily recorded and forged with user-friendly editing tools. These videos can be shared on social networks to make false propaganda. During the process of spatial forgery, the texture and micro-patterns of the frames become inconsistent, which can be observed in the difference of two consecutive frames. Based on this observation, a method has been proposed for detection of forged video segments and localization of forged frames. Employing the Chrominance value of Consecutive frame Difference (CCD) and Discriminative Robust Local Binary Pattern (DRLBP), a new descriptor is introduced to model the inconsistency embedded in the frames due to forgery. Support Vector Machine (SVM) is used to detect whether the pair of consecutive frames is forged. If at least one pair of consecutive frames is detected as forged, the video segment is predicted as forged and the forged frames are localized. Intensive experiments are performed to validate the performance of the method on a combined dataset of videos, which were tampered by copy-move and splicing methods. The detection accuracy on large dataset is 96.68 percent and video accuracy is 98.32 percent. The comparison shows that it outperforms the state-of-the-art methods, even through cross dataset validation. Sat, 31 Aug 2019 00:00:00 +0300 Peak Points Detection Using Spline Interpolation Based on FPGA Implementation http://dx.doi.org/10.4316/aece.2019.04001 http://dx.doi.org/10.4316/aece.2019.04001 A. M., COLAK, T., MANABE, R., KAMASAKA, Y., SHIBATA, F., KUROKAWA, Peak detection of any time serial signals can be done using different methods. However, exact positions of the peaks cannot be achieved, if the method does not have a high sensitivity detection capability. It is known that various errors appear between the real peak value and the measured value; therefore, a true peak value can be obtained from the measured value by using a highly sensitive detection method. For this reason, spline interpolation is used to estimate the peak points from measured values. In this paper, highly sensitive peak detection of high-frequency signals based on FPGA is proposed using spline algorithm, which is capable of calculating the middle points using the first and last points on the signal. To evaluate the system, the histograms, the mean, and the variance of the peak values before and after spline interpolation are compared. Simulation results show that calculated peak points using splines and real peak values of a signal are very close to each other since the spline algorithm has very high calculation sensitivity. In addition, spline results show us how much error the existing peak values have. Sat, 30 Nov 2019 00:00:00 +0200 Quantitative Performance Comparison and Optimization of Novel Complementary Field Excited Linear Flux Switching Machine http://dx.doi.org/10.4316/aece.2019.04002 http://dx.doi.org/10.4316/aece.2019.04002 N., ULLAH, A., BASIT, F., KHAN, F., ALI, H., ALI, R., AHMED, I., HASEEB, M. A., KAZMI, In this paper, two well-known topologies of proposed Double Sided Field Excited Linear Flux Switching Machine with Segmented Secondary (FELFSMSS) i.e. Dual Stator and Dual Mover are quantitatively compared with a valid decision of selecting Dual Stator FELFSMSS (DSFELFSMSS) based on low numerical values of detent force, thrust force ripples, and normal force, and high values of open circuit flux linkage, average thrust force, and thrust force density. In order to uplift overall thrust force profile of selected DSFELFSMSS at the rate of minimum thrust force ripple ratio, geometry based deterministic optimization and appropriate selection of AC and DC current density approach is adopted. Finally, a novel technique of auxiliary end tooth DC winding is applied to limit thrust force ripple ratio less than 10 percent. Sat, 30 Nov 2019 00:00:00 +0200 Incorporated Decision-maker-based Multiobjective Band Selection for Pixel Classification of Hyperspectral Images http://dx.doi.org/10.4316/aece.2019.04003 http://dx.doi.org/10.4316/aece.2019.04003 D., SAQUI, J. H., SAITO, D. C., De LIMA, L. M., Del Val CURA, S. T. M., ATAKY, Hyperspectral images (HIs) are characterized by a higher spectral resolution than other images and have applications in various fields, to wit, medicine, agriculture, mining, among others. Segmentation can be obtained from the pixel classification and it is a powerful tool for object identification. Notwithstanding, the problems of the curse of dimensionality and the demand for computational resources occur due to the number of bands. Techniques that reduce dimensionality, such as genetic algorithms, are promising, but they cannot assure a balance between conflicting objectives such as improving classification and reducing the number of bands. Multiobjective band selection can be applied to search for tradeoff solutions that have this balance. Therefore, in this manuscript, we propose a novel method called Incorporated Decision-Marker-based multiobjective band selection (IDMMoBS) that tries to find tradeoff solutions using spectral and spatial information. In the experiments, the IDMMoBS reduced the number of bands between 85.4 and 85.8 percent of the total and it outperformed the majority of other methods compared in this criterion. For the pixel classification, the IDMMoBS presented better results than all compared cases taking into account all evaluated metrics using SVM classifier. Accordingly, the IDMMoBS is suitable for band selection. Sat, 30 Nov 2019 00:00:00 +0200 A Novel Test Method for Real-time Magnetic Flux Measurement of Power Transformers http://dx.doi.org/10.4316/aece.2019.04004 http://dx.doi.org/10.4316/aece.2019.04004 Y., ZHANG, D., DAI, J., ZHANG, X., LIU, X., CHEN, Optimizing magnetic flux distribution in iron cores is very important in the transformer design. It can affect whether the iron cores of transformers are saturated or not in severe conditions. If saturated, the transformer will overheat and generate harmful harmonics to the grid. The measurement of the dynamic magnetic flux is an effective method to observe the behavior of transformers and ensure their safety. However, there are limited methods to measure the magnetic flux in real-time. In this paper, a novel test method based on a special transformer design is proposed. The new design integrates an additional bypass iron core which shares a partial magnetic path with the main core. By injecting high-frequency signals into the attached coil of the bypass core, the measured signals reflect the trend of the magnetic flux variation in the main core over time. To improve the accuracy of the derived measured data, the Empirical Mode Decomposition algorithm is also used to diminish the noise without additional designs in the signal acquisition circuit. The proposed method is modeled and tested, and the results show that this method can dynamically measure the magnetic flux in the transformer. Sat, 30 Nov 2019 00:00:00 +0200 Tri-band Impedance Matching Network Design Using Particle Swarm Optimization Algorithm http://dx.doi.org/10.4316/aece.2019.04005 http://dx.doi.org/10.4316/aece.2019.04005 S., ULKER, A solution strategy is presented using a five-section transmission line impedance transformer aiming for multiple band matching network circuits. In this paper, the analysis, which is based on the transmission line theory and application of the evolutionary algorithm for the solution of the stated problem are explained. Design of the matching networks was performed and optimized at three different frequencies 1.8 GHz, 2.4 GHz and 3 GHz at the same time. Tests were performed for two different load configurations. The optimized design values obtained from the particle swarm optimization algorithm were verified for correctness using microwave simulator. After the fabrication of the circuits, the measurements were taken for these circuits for the validation of the design. From the observations that were made, it can be concluded that particle swarm optimization can be a good choice for the design and optimization of multiple band matching network circuits. Sat, 30 Nov 2019 00:00:00 +0200 Analysis and Control of a New Dual-input Impedance-based DC–DC Converter for Hybrid PV-FC Systems http://dx.doi.org/10.4316/aece.2019.04006 http://dx.doi.org/10.4316/aece.2019.04006 P., BAYAT, A., BAGHRAMIAN, A new dual-input DC-DC converter based on quasi-Z source converter is proposed in this study. This converter is a suitable option for efficiently interfacing two energy sources with a common load. The proposed topology, by integrating the switched-capacitor cell and coupled-inductor, provides a high step-up gain of voltage conversion at small duty cycles. This topology works only by two switches and voltage stress across the switches is low. Furthermore, continuous input current is one of the key features of the proposed converter which makes it suitable for hybrid photovoltaic and fuel cell systems. In this research, it is attempted to explain the operating principles, steady-state analysis, control and modulation for the proposed converter under continuous inductor current mode. The merits of the proposed converter are presented compared with those of other dual-input converters. Finally, simulation results from MATLAB\Simulink are presented and experiments with a 150W prototype are performed to investigate the performance and effectiveness of the studied circuit. Sat, 30 Nov 2019 00:00:00 +0200 Hybrid Artificial Neural Network by Using Differential Search Algorithm for Solving Power Flow Problem http://dx.doi.org/10.4316/aece.2019.04007 http://dx.doi.org/10.4316/aece.2019.04007 K., ABACI, V., YAMACLI, Power flow (PF) is in one of the most studied non-linear problems related to power systems which heavily affects security issues such as generation cost, voltage stability and active power loss. In this paper, a simple and new approach based on artificial neural network (ANN) and differential search (DSA) algorithm has been proposed and applied for one of the most complex problems in power systems, Power Flow (PF) problem. By using the proposed DSA implemented ANN method, IEEE 9-bus, IEEE 30-bus and IEEE 118-bus test system parameters are obtained without running iterative convergence methods such as Gauss-Siedel or Newton-Raphson. By comparing with several most used non-linear iterative methods, the results obtained using the classical training method and proposed DSA implemented hybrid training methods are presented and discussed. Obtained results in this work show that the ANN based power flow method can be implemented to solve non-linear static and dynamical problems concerning power systems successfully. Sat, 30 Nov 2019 00:00:00 +0200 Research on Influencing Factors of Digital Signal Modulation Recognition http://dx.doi.org/10.4316/aece.2019.04008 http://dx.doi.org/10.4316/aece.2019.04008 J., WANG, H., DU, In the real environment, modulation recognition has low classification recognition rate under low SNR and is affected by many factors such as symbol rate, frequency offset and adjacent channel crosstalk. Based on the combination of high-order cumulants and instantaneous features, this paper firstly analyzes the performance of modulation signal recognition in Gaussian environment. Then through the experimental verification, symbol rate, frequency offset, adjacent channel crosstalk has an impact on the accuracy of modulation recognition. The experimental results show that the ratio of symbol rate and sampling rate has a significant impact on the recognition results, while frequency offset and adjacent channel crosstalk have little impact on the recognition rate. Sat, 30 Nov 2019 00:00:00 +0200 The Detection and Classification of Microcalcifications in the Visibility-Enhanced Mammograms Obtained by using the Pixel Assignment-Based Spatial Filter http://dx.doi.org/10.4316/aece.2019.04009 http://dx.doi.org/10.4316/aece.2019.04009 M., HEKIM, A., AYDIN YURDUSEV, C., ORAL, In this paper, we proposed a computer aided diagnosis (CAD) system which has the pixel assignment-based a spatial filter to enhance the visibility of microcalcifications in mammograms. This filter first sums the absolute values of the differences between the center pixel-of-interest and its 8-neighbors, and then assigns this summed value to that center pixel-of-interest. This process was repeated for each pixel of all images, and the contrast stretching was applied into all obtained images. Then, it was firstly detected by using different classifiers whether is absent/present of microcalcification in the obtained images, and the detected microcalcifications were classified as benign/malignant by using the same classifiers. In order to evaluate the effects of the proposed filter on the detection and classification successes, it was compared to widely used filters. In the implemented experiments, this comparison showed that the proposed filter provided higher contribution to the detection and classification successes than the others, and hence enhanced the visibility of microcalcifications in mammograms. Finally, it can be concluded that the CAD system with the proposed filter can contribute to the development of the state-of-art methodologies and can be used as a diagnostic decision support mechanism in the analysis of mammograms. Sat, 30 Nov 2019 00:00:00 +0200 Reduced Rib Synchronous Reluctance Motor for Traction Applications http://dx.doi.org/10.4316/aece.2019.04010 http://dx.doi.org/10.4316/aece.2019.04010 S., PANDA, R. K., KESHRI, This paper proposes a variable width reduced rib rotor structure for Synchronous Reluctance (SynRel) Motor. In convention supporting iron ribs are introduced in transversally laminated anisotropic (TLA) type rotors of SynRel motor to increase the robustness of the rotor structure for high speed operations. However, the presence of these ribs degrades the electromagnetic performance of the motor such as saliency ratio and average output torque due to the flux path oriented along q-axis, through the rib area. Hence, the selection of appropriate shape and number of support ribs are essential to ensure the robustness of the rotor without much affecting the required torque density. Present paper uses Finite Element Analysis (FEA) to study electromagnetic as well as mechanical performance of SynRel motor. Rotor structure employing variable width for radial ribs is proposed. The use of variable width in radial ribs decrease the inductance oriented along q-axis, thus improving the saliency ratio and average output torque of SynRel motor. A 1 kW prototype is fabricated for the proposed rotor structure. A detailed comparison between the conventional and proposed rotor structure is also presented to demonstrate the advantages of the latter for high speed and high torque density applications. Sat, 30 Nov 2019 00:00:00 +0200