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JCR Impact Factor: 0.700
JCR 5-Year IF: 0.700
SCOPUS CiteScore: 1.8
Issues per year: 4
Current issue: Nov 2024
Next issue: Feb 2025
Avg review time: 56 days
Avg accept to publ: 60 days
APC: 300 EUR


PUBLISHER

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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2024-Jun-20
Clarivate Analytics published the InCites Journal Citations Report for 2023. The InCites JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.700 (0.700 without Journal self-cites), and the InCites JCR 5-Year Impact Factor is 0.600.

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.

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  4/2015 - 10

Analysis of RLC Elements under Stochastic Conditions Using the First and the Second Moments

WALCZAK, J. See more information about WALCZAK, J. on SCOPUS See more information about WALCZAK, J. on IEEExplore See more information about WALCZAK, J. on Web of Science, MAZURKIEWICZ, S. See more information about  MAZURKIEWICZ, S. on SCOPUS See more information about  MAZURKIEWICZ, S. on SCOPUS See more information about MAZURKIEWICZ, S. on Web of Science, GRABOWSKI, D. See more information about GRABOWSKI, D. on SCOPUS See more information about GRABOWSKI, D. on SCOPUS See more information about GRABOWSKI, D. on Web of Science
 
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Download PDF pdficon (743 KB) | Citation | Downloads: 998 | Views: 3,038

Author keywords
circuit analysis, linear circuits, moment methods, stochastic processes, stochastic systems

References keywords
stochastic(18), circuits(9), equations(6), kolarova(5), modeling(4), circuit(4), applications(4)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2015-11-30
Volume 15, Issue 4, Year 2015, On page(s): 75 - 80
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2015.04010
Web of Science Accession Number: 000368499800010
SCOPUS ID: 84949967914

Abstract
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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.


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Cited-By Clarivate Web of Science

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Cited-By CrossRef

[1] Numerical simulation of fractional-order dynamical systems in noisy environments, Mostaghim, Zeinab Salamat, Moghaddam, Behrouz Parsa, Haghgozar, Hossein Samimi, Computational and Applied Mathematics, ISSN 0101-8205, Issue 5, Volume 37, 2018.
Digital Object Identifier: 10.1007/s40314-018-0698-z
[CrossRef]

[2] Confidence intervals for RLCG cell influenced by coloured noise, Kolarova, Edita, Brancik, Lubomir, COMPEL - The international journal for computation and mathematics in electrical and electronic engineering, ISSN 0332-1649, Issue 4, Volume 36, 2017.
Digital Object Identifier: 10.1108/COMPEL-07-2016-0321
[CrossRef]

Updated 2 days, 6 hours ago

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


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