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Stefan cel Mare
University of Suceava
Faculty of Electrical Engineering and
Computer Science
13, Universitatii Street
Suceava - 720229
ROMANIA

Print ISSN: 1582-7445
Online ISSN: 1844-7600
WorldCat: 643243560
doi: 10.4316/AECE


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SCOPUS published the CiteScore for 2022, computed by using an improved methodology, counting the citations received in 2019-2022 and dividing the sum by the number of papers published in the same time frame. The CiteScore of Advances in Electrical and Computer Engineering for 2022 is 2.0. For "General Computer Science" we rank #134/233 and for "Electrical and Electronic Engineering" we rank #478/738.

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SCOPUS published the CiteScore for 2021, computed by using an improved methodology, counting the citations received in 2018-2021 and dividing the sum by the number of papers published in the same time frame. The CiteScore of Advances in Electrical and Computer Engineering for 2021 is 2.5, the same as for 2020 but better than all our previous results.

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  2/2018 - 15
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 HIGH-IMPACT PAPER 

Method for Efficiency Increasing of Distributed Classification of the Images based on the Proactive Parallel Computing Approach

MUKHIN, V. See more information about MUKHIN, V. on SCOPUS See more information about MUKHIN, V. on IEEExplore See more information about MUKHIN, V. on Web of Science, VOLOKYTA, A. See more information about  VOLOKYTA, A. on SCOPUS See more information about  VOLOKYTA, A. on SCOPUS See more information about VOLOKYTA, A. on Web of Science, HERIATOVYCH, Y. See more information about  HERIATOVYCH, Y. on SCOPUS See more information about  HERIATOVYCH, Y. on SCOPUS See more information about HERIATOVYCH, Y. on Web of Science, REHIDA, P. See more information about REHIDA, P. on SCOPUS See more information about REHIDA, P. on SCOPUS See more information about REHIDA, P. on Web of Science
 
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Download PDF pdficon (1,166 KB) | Citation | Downloads: 873 | Views: 3,002

Author keywords
parallel programming, distributed computing, pattern recognition, performance analysis, mobile agents

References keywords
data(7), analysis(5), lange(4), computing(4), classification(4)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2018-05-31
Volume 18, Issue 2, Year 2018, On page(s): 117 - 122
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2018.02015
Web of Science Accession Number: 000434245000015
SCOPUS ID: 85047874772

Abstract
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Full text preview
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.


References | Cited By  «-- Click to see who has cited this paper

[1] T. Lange, P. Mozharovskyi,"The Alpha-Procedure: A Nonparametric Invariant Method for Automatic Classification of Multi-Dimensional Objects", Data Analysis, Machine Learning and Knowledge Discovery. Springer International Publishing, pp. 79-86, 2014.
[CrossRef] [Web of Science Times Cited 2]


[2] T. Lange, K. Mosler, P. Mozharovskyi, "Fast nonparametric classification based on data depth", Statistical Papers, pp. 1-21, 2014.
[CrossRef] [Web of Science Times Cited 62]


[3] P. Mozharovskyi, K. Mosler, T. Lange, "Classifying real-world data with the {DD}\ alpha-procedure", Advances in Data Analysis and Classification 9.3, pp. 287-314, 2015.
[CrossRef] [Web of Science Times Cited 16]


[4] R. Roman, J. Zhou, J. Lopez "Applying intrusion detection systems to wireless sensor networks", Consumer Communications and Networking Conference, vol.1, pp. 640-644, 2006.
[CrossRef]


[5] T. Sakaki, M. Okazaki, Y. Matsuo "Earthquake shakes Twitter users: real-time event detection by social sensors", Proceedings of the 19th international conference on World wide web (WWW2010) Raleigh, North Carolina, ACM pp. 851-860, 2010.
[CrossRef]


[6] S. Stijven, W. Minnebo, E. Vladislavleva, "Separating the wheat from the chaff: on feature selection and feature importance in regression random forests and symbolic regression", Proceedings of the 13th Annual Conference Companion on Genetic and Evolutionary Computation GECCO'11, Dublin, Ireland, pp. 623-630, 2011.
[CrossRef]


[7] V. I. Vasil'ev, "The reduction principle in pattern recognition learning (PRL) problem", Pattern Recognition and Image Analysis 1.1, pp. 23-32, 1991.

[8] V. I. Vasil'ev, "The reduction principle in problems of revealing regularities. I.", Cybernetics and Systems Analysis 39.5, pp. 686-694, 2003.
[CrossRef]


[9] T. Lange, P. Mozharovskyi, G. Barath. "Two approaches for solving tasks of pattern recognition and reconstruction of functional dependencies", XIV International conference on applied stochastic models and data analysis, 2011.

[10] A. Pakonen, T. Pirttioja, I. Seilonen "Proactive computing in process monitoring: Information agents for operator support", Emerging Technologies and Factory Automation, ETFA'06. IEEE Conference on. IEEE, pp. 153-158, 2006.
[CrossRef]


[11] M. Pattie, "Agents that reduce work and information overload", Communications of the ACM 37.7, pp. 30-40, 1994.
[CrossRef]


[12] G. Amdahl, "Validity of the single processor approach to achieving large scale computing capabilities", In AFIPS Conference Proceedings. Washington, D.C. Thompson Books, vol. 30, pp. 483-485, 1967.
[CrossRef]


[13] J. L. Gustavson, "Reevaluating Amdahl's law". Communications of the ACM, vol. 31, no. 5. pp.532-533, 1988.
[CrossRef] [Web of Science Times Cited 654]


[14] V. Kumar, A. Gupta, "Analyzing scalability of parallel algorithms and architectures", Journal of parallel and distributed computing, 22(3), 395-405.
[CrossRef]


[15] G. A. Agha, Wooyoung Kimb, "Actors: A unifying model for parallel and distributed computing", Journal of systems architecture, vol. 45(15), pp. 1263-1277.
[CrossRef] [Web of Science Times Cited 18]


[16] H. H. Ugurlu, H. Kocayigit. "The Frenet and Darboux instantaneous rotation vectors of curves on time-like surface." Mathematical and Computational Applications 1.2, pp. 323-331, 1996.
[CrossRef]


[17] M. A. Friedl, C. E. Brodley, "Decision tree classification of land cover from remotely sensed data." Remote sensing of environment vol. 61, no. 3, pp. 399-409, 1997.
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[CrossRef]


[19] H. Loutskii, A. Volokyta, O. Yakushev, P. Rehida, Vu Duc Thinh, "Development of real time method of detecting attacks based on artificial intelligence.", Technology audit and production reserves, vol. 29, pp. 40-46, 2016.
[CrossRef]


[20] A. Volokyta, P. Rehida, V. Shyrochyn, A. Nikitiuk, Vu Duc Thinh "The Effective Method of Distributed Data Storage That Provides High Access Speed and Level of Safety", Bulgarian journal for Engineering Design, vol. 29, pp. 67-75, April 2016.



References Weight

Web of Science® Citations for all references: 1,762 TCR
SCOPUS® Citations for all references: 0

Web of Science® Average Citations per reference: 84 ACR
SCOPUS® Average Citations per reference: 0

TCR = Total Citations for References / ACR = Average Citations per Reference

We introduced in 2010 - for the first time in scientific publishing, the term "References Weight", as a quantitative indication of the quality ... Read more

Citations for references updated on 2024-03-19 03:31 in 98 seconds.




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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania


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