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Year: 2019, Volume: 19, Number: 4
... data set contains 4470 data points recorded at 10-min intervals for each L3-L2, L2- L1 and L1-L3 phase-to-phase effective voltages. L1, L2 and L3 denote the power line in order in 3 phase power system. The important point here is that the input peak data used for spline simulation were obtained after implementing the AMPD ...
142. Comparison of Classification Algorithms for Detecting Patient Posture in Expandable Tumor Prostheses
Year: 2020, Volume: 20, Number: 2
... i €1 0. The purpose of feature extraction is to convert the original Band Power: It is the average of the sum of squares of dataset into a ... suitable form for later ƒx i 2 classifications. In order to increase the classification BandPower € i €1 (6) performance and achieve high classification speed, the ...
143. Design of an Adaptive Flux Observer for Sensorless Switched Reluctance Motors Using Lyapunov Theory
Year: 2020, Volume: 20, Number: 2
... estimated speeds as well as estimated speed error during step speed change from 550 rpm to 1100 APPENDIX rpm TABLE I. RATING AND DATA OF SRM Item Value Measured Power 375 W Speeds (rpm) Voltage 150 V Current 2.5 A Phase Resistance, Rph 8.6 — Lu 0.035 H Estimated Moment of inertia, J 0.01 kg.m2 ...
Year: 2020, Volume: 20, Number: 2
... expensive. AD classification from CDR (mean S.D) 0.69 0.25 0.5 0 handcrafted features is not reproducible and reliable. With advancements in technology and increase in CPU power, Proposed Approach: The proposed approach is a artificial neural networks (ANN) started to be used more longitudinal study for prediction of conversion from MCI to ...
145. Generation of Visual Patterns from BoVW for Image Retrieval using modified Similarity Score Fusion
Year: 2020, Volume: 20, Number: 2
... to Image Retrieval (CBIR). Despite their significant usage, the incorporate discriminative power and spatial information is: traditional BoVW method has low discriminative power and Histogram ... by modifying the traditional BOVW is proposed. Firstly, to time to train. empower the discrimination power among images, a novel TABLE XI. ACCURACY COMPARISON FOR ...
Year: 2020, Volume: 20, Number: 2
... on Electrical [33] B. A. Reyes, H. Posada-Quintero, J. Bales, A. Clement, G. Pins, A. and Power Engineering, Ia™i, 2012, pp. 605-609. Swiston, J. Riistama, J. Florian, B. Shykoff, M. Qin, K ...
Year: 2020, Volume: 20, Number: 2
... Energy Technologies, vol. 6, no. 4, pp. solving optimal power flow problem in large-scale power systems 349-352, 2018, doi:10.18178/ ... ( X) € ƒin ix 2 €1 i ( i €1) F4 SumPower f 4( X) € ƒi n x €1 i € 1 ...
Year: 2020, Volume: 20, Number: 2
... to be dimensioned [8]. method are used. Simulations are carried out to verify the performance of the bio-inspired algorithms in relation to the Nature-inspired meta-heuristics are powerful tools for exact method. The results obtained with the firefly algorithm solving NP-hard combinatorial optimization problems. surpass those of the genetic algorithm and approximate the These methods ...
Year: 2020, Volume: 20, Number: 2
... M. Fidan, -.N. Gerek and F.O. HocaoŸlu, "Harmonic analysis based doi:10.1016/j.solener.2015.03.015 hourly solar radiation forecasting model," IET Renewable Power [26] H. Jiang and Y. Dong, "Forecast of hourly global horizontal Generation, vol. 9, no. 3, pp. ...
Year: 2020, Volume: 20, Number: 2
... P. Muller, "Deep decoupled time series forecasting of electric vehicle charging demand learning for time series classification: a review," Data Mining and for stochastic power system operation," Electric Power Systems Knowledge Discovery, vol. 33, no. 4, pp. 917-963, 2019. Research, vol. 140 ...
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