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JCR Impact Factor: 0.800
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Issues per year: 4
Current issue: Feb 2024
Next issue: May 2024
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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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2023-Jun-28
Clarivate Analytics published the InCites Journal Citations Report for 2022. The InCites JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.800 (0.700 without Journal self-cites), and the InCites JCR 5-Year Impact Factor is 1.000.

2023-Jun-05
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.

2022-Jun-28
Clarivate Analytics published the InCites Journal Citations Report for 2021. The InCites JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.825 (0.722 without Journal self-cites), and the InCites JCR 5-Year Impact Factor is 0.752.

2022-Jun-16
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.

2021-Jun-30
Clarivate Analytics published the InCites Journal Citations Report for 2020. The InCites JCR Impact Factor of Advances in Electrical and Computer Engineering is 1.221 (1.053 without Journal self-cites), and the InCites JCR 5-Year Impact Factor is 0.961.

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  1/2020 - 13
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 HIGHLY CITED PAPER 

Design Time Temperature Reduction in Mixed Polarity Dual Reed-Muller Network: a NSGA-II Based Approach

DAS, A. See more information about DAS, A. on SCOPUS See more information about DAS, A. on IEEExplore See more information about DAS, A. on Web of Science, PRADHAN, S. N. See more information about PRADHAN, S. N. on SCOPUS See more information about PRADHAN, S. N. on SCOPUS See more information about PRADHAN, S. N. on Web of Science
 
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Download PDF pdficon (528 KB) | Citation | Downloads: 784 | Views: 2,226

Author keywords
genetic algorithms, logic design, Pareto optimization, power dissipation, thermal analysis

References keywords
thermal(7), power(6), aware(6), pradhan(5), circuits(5), systems(4), reed(4), optimization(4), muller(4), design(4)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2020-02-28
Volume 20, Issue 1, Year 2020, On page(s): 99 - 104
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2020.01013
Web of Science Accession Number: 000518392600013
SCOPUS ID: 85083705344

Abstract
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Proposed work addresses the existing thermal problem of OR-XNOR based circuit by introducing design time thermal management technique at the logic level. The approach is used to reduce the peak temperature by eliminating local hotspots. In proposed thermal-aware synthesis, non-dominated sorting genetic algorithm-II (NSGA-II) based meta-heuristic search algorithm is used to select a suitable input polarity of Mixed Polarity Dual Reed-Muller Expansion (MPDRM) to reduce the power and power-density by optimizing the area sharing. A parallel tabular technique is used for input polarity conversion from Product-of-Sum (POS) to MPDRM function. Finally, the optimized solutions are implemented in the physical design level to obtain the actual values of area, power, and temperature. MCNC benchmark suit is considered for performance evaluation. A comparative study of the proposed approach with existing state-of-art algorithms such as fixed and mixed polarity Reed-Muller network is reported. A significant reduction in area occupancy, power dissipation, and peak temperature generation are reported.


References | Cited By

Cited-By Clarivate Web of Science

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Cited-By SCOPUS

SCOPUS® Times Cited: 6
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Cited-By CrossRef

[1] Yapay zeka tarafından kontrol edilen yeni bir termoelektrik CPU soğutma sistemi, UMUT, İlhan, AKAL, Dinçer, Gazi Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi, ISSN 1300-1884, Issue 1, Volume 39, 2023.
Digital Object Identifier: 10.17341/gazimmfd.1150632
[CrossRef]

[2] Delay optimization for ternary fixed polarity Reed–Muller circuits based on multilevel adaptive quantum genetic algorithm, Zhenxue, He, Xiaoqian, Wu, Chao, Wang, Zhisheng, Huo, Limin, Xiao, Xiang, Wang, International Journal of Intelligent Systems, ISSN 0884-8173, Issue 10, Volume 36, 2021.
Digital Object Identifier: 10.1002/int.22538
[CrossRef]

[3] Ship route and speed multi-objective optimization considering weather conditions and emission control area regulations, Ma, Weihao, Lu, Tianfu, Ma, Dongfang, Wang, Dianhai, Qu, Fengzhong, Maritime Policy & Management, ISSN 0308-8839, Issue 8, Volume 48, 2021.
Digital Object Identifier: 10.1080/03088839.2020.1825853
[CrossRef]

[4] Area and power optimization for Fixed Polarity Reed–Muller logic circuits based on Multi-strategy Multi-objective Artificial Bee Colony algorithm, Qin, Dongge, He, Zhenxue, Zhao, Xiaojun, Liu, Jia, Zhang, Fan, Xiao, Limin, Engineering Applications of Artificial Intelligence, ISSN 0952-1976, Issue , 2023.
Digital Object Identifier: 10.1016/j.engappai.2023.105906
[CrossRef]

[5] Minimization for ternary fixed polarity Reed–Muller expressions based on ternary quantum shuffled frog leaping algorithm, He, Zhenxue, Xiao, Limin, Wang, Xiang, Applied Soft Computing, ISSN 1568-4946, Issue , 2021.
Digital Object Identifier: 10.1016/j.asoc.2021.107647
[CrossRef]

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