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FACTS & FIGURES

JCR Impact Factor: 0.800
JCR 5-Year IF: 1.000
SCOPUS CiteScore: 2.0
Issues per year: 4
Current issue: Nov 2023
Next issue: Feb 2024
Avg review time: 77 days
Avg accept to publ: 48 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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Analysis of the Hybrid PSO-InC MPPT for Different Partial Shading Conditions, LEOPOLDINO, A. L. M., FREITAS, C. M., MONTEIRO, L. F. C.
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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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  3/2016 - 9

 HIGHLY CITED PAPER 

A Novel Target Tracking Algorithm for Simultaneous Measurements of Radar and Infrared Sensors

GHAZAL, M. See more information about GHAZAL, M. on SCOPUS See more information about GHAZAL, M. on IEEExplore See more information about GHAZAL, M. on Web of Science, DOUSTMOHAMMADI, A. See more information about DOUSTMOHAMMADI, A. on SCOPUS See more information about DOUSTMOHAMMADI, A. on SCOPUS See more information about DOUSTMOHAMMADI, A. on Web of Science
 
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Download PDF pdficon (1,169 KB) | Citation | Downloads: 710 | Views: 2,633

Author keywords
infrared sensors, radar tracking, state estimation, filtering algorithms, minimax techniques

References keywords
tracking(11), transaction(7), radar(6), estimation(6), control(6), systems(5), system(5), signal(5), sensors(5), processing(5)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2016-08-31
Volume 16, Issue 3, Year 2016, On page(s): 57 - 64
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2016.03009
Web of Science Accession Number: 000384750000009
SCOPUS ID: 84991107981

Abstract
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Full text preview
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.


References | Cited By

Cited-By Clarivate Web of Science

Web of Science® Times Cited: 7 [View]
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Updated 2 days, 15 hours ago


Cited-By SCOPUS

SCOPUS® Times Cited: 7
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View citations in SCOPUS® [Free preview]

Updated 4 days, 1 hour

Cited-By CrossRef

[1] Multi-sensor target tracking in the presence of clutter using game theory, Ghazal, M, Doustmohammadi, A, Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering, ISSN 0954-4100, Issue 15, Volume 232, 2018.
Digital Object Identifier: 10.1177/0954410017717534
[CrossRef]

[2] Adaptive Tracking of High-Maneuvering Targets Based on Multi-Feature Fusion Trajectory Clustering: LPI’s Purpose, Wei, Lei, Chen, Jun, Ding, Yi, Wang, Fei, Zhou, Jianjiang, Sensors, ISSN 1424-8220, Issue 13, Volume 22, 2022.
Digital Object Identifier: 10.3390/s22134713
[CrossRef]

[3] Dynamic Evaluation of GNSS Spoofing and Jamming Efficacy Based on Game Theory, Wang, Yue, Hao, Jin-Ming, Liu, Wei-Ping, Wang, Xian, IEEE Access, ISSN 2169-3536, Issue , 2020.
Digital Object Identifier: 10.1109/ACCESS.2020.2965728
[CrossRef]

[4] A Novel Robust Interacting Multiple Model Algorithm for Maneuvering Target Tracking, GHAZAL, M., DOUSTMOHAMMADI, A., Advances in Electrical and Computer Engineering, ISSN 1582-7445, Issue 3, Volume 17, 2017.
Digital Object Identifier: 10.4316/AECE.2017.03005
[CrossRef] [Full text]

[5] Player target tracking and detection in football game video using edge computing and deep learning, Jin, Gang, The Journal of Supercomputing, ISSN 0920-8542, Issue 7, Volume 78, 2022.
Digital Object Identifier: 10.1007/s11227-021-04274-6
[CrossRef]

[6] Unscented Kalman Filter Target Tracking Based on Elman Neural Network, FuCai, Qian, SiYu, Liu, Guo, Xie, YuShuang, Liu, 2019 Chinese Automation Congress (CAC), ISBN 978-1-7281-4094-0, 2019.
Digital Object Identifier: 10.1109/CAC48633.2019.8996172
[CrossRef]

Updated 2 days, 15 hours ago

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