| 1/2018 - 15 |
Optimization of Charge/Discharge Coordination to Satisfy Network Requirements Using Heuristic Algorithms in Vehicle-to-Grid ConceptDOGAN, A.   , BAHCECI, S. , DALDABAN, F. , ALCI, M. |
Extra paper information in    |
| Click to see author's profile in SCOPUS, IEEE Xplore, Web of Science |
Download PDF  (1,247 KB) | Citation | Downloads: 1,213 | Views: 5,196 |
Author keywords
electric vehicles, genetic algorithms, heuristic algorithms, smart grids, optimization
References keywords
grid(33), power(31), electric(28), vehicle(23), vehicles(21), energy(21), charging(18), plug(16), systems(14), smart(14)
Blue keywords are present in both the references section and the paper title.
About this article
Date of Publication: 2018-02-28
Volume 18, Issue 1, Year 2018, On page(s): 121 - 130
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2018.01015
Web of Science Accession Number: 000426449500015
SCOPUS ID: 85043247244
Abstract
Image thresholding is the most crucial step in microscopic image analysis to distinguish bacilli objects causing of tuberculosis disease. Therefore, several bi-level thresholding algorithms are widely used to increase the bacilli segmentation accuracy. However, bi-level microscopic image thresholding problem has not been solved using optimization algorithms. This paper introduces a novel approach for the segmentation problem using heuristic algorithms and presents visual and quantitative comparisons of heuristic and state-of-art thresholding algorithms. In this study, well-known heuristic algorithms such as Firefly Algorithm, Particle Swarm Optimization, Cuckoo Search, Flower Pollination are used to solve bi-level microscopic image thresholding problem, and the results are compared with the state-of-art thresholding algorithms such as K-Means, Fuzzy C-Means, Fast Marching. Kapur's entropy is chosen as the entropy measure to be maximized. Experiments are performed to make comparisons in terms of evaluation metrics and execution time. The quantitative results are calculated based on ground truth segmentation. According to the visual results, heuristic algorithms have better performance and the quantitative results are in accord with the visual results. Furthermore, experimental time comparisons show the superiority and effectiveness of the heuristic algorithms over traditional thresholding algorithms. |
| References | | | Cited By |
Web of Science® Times Cited: 10 [View]
View record in Web of Science® [View]
View Related Records® [View]
Updated 2 days, 15 hours ago
SCOPUS® Times Cited: 15
View record in SCOPUS® [Free preview]
View citations in SCOPUS® [Free preview]
Updated 2 days, 15 hours ago
[1] Thermal-Electrochemical Modeling and Analysis of Different Cathode-Anode pairs for Lithium-ion Battery, SHARMA, S., PANWAR, A. K., TRIPATHI, M. M., Advances in Electrical and Computer Engineering, ISSN 1582-7445, Issue 3, Volume 21, 2021.
Digital Object Identifier: 10.4316/AECE.2021.03007 [CrossRef] [Full text]
[2] Application of Artificial Intelligence for EV Charging and Discharging Scheduling and Dynamic Pricing: A Review, Chen, Qin, Folly, Komla Agbenyo, Energies, ISSN 1996-1073, Issue 1, Volume 16, 2022.
Digital Object Identifier: 10.3390/en16010146 [CrossRef]
[3] Route Optimization of Electric Vehicle considering Soft Time Windows and Two Ways of Power Replenishment, Meng, Ming, Ma, Yun, Advances in Operations Research, ISSN 1687-9147, Issue , 2020.
Digital Object Identifier: 10.1155/2020/5612872 [CrossRef]
[4] Vehicle-to-X (V2X) implementation: An overview of predominate trial configurations and technical, social and regulatory challenges, Gschwendtner, Christine, Sinsel, Simon R., Stephan, Annegret, Renewable and Sustainable Energy Reviews, ISSN 1364-0321, Issue , 2021.
Digital Object Identifier: 10.1016/j.rser.2021.110977 [CrossRef]
[5] Intelligent Charging Control of Power Aggregator for Electric Vehicles Using Optimal Control, ALKAWAZ, A. N., KANESAN, J., MOHD KHAIRUDDIN, A. S., CHOW, C. O., SINGH, M., Advances in Electrical and Computer Engineering, ISSN 1582-7445, Issue 4, Volume 21, 2021.
Digital Object Identifier: 10.4316/AECE.2021.04003 [CrossRef] [Full text]
[6] An overview of load frequency control for grid using various control techniques, Vinitha, JC, Rani, P Usha, IOP Conference Series: Materials Science and Engineering, ISSN 1757-8981, Issue 1, Volume 1258, 2022.
Digital Object Identifier: 10.1088/1757-899X/1258/1/012056 [CrossRef]
[7] Optimal Energy and Reserve Market Management in Renewable Microgrid-PEVs Parking Lot Systems: V2G, Demand Response and Sustainability Costs, Onishi, Viviani Caroline, Antunes, Carlos Henggeler, Trovão, João Pedro Fernandes, Energies, ISSN 1996-1073, Issue 8, Volume 13, 2020.
Digital Object Identifier: 10.3390/en13081884 [CrossRef]
[8] Analysis of the Media Directing Theory Based on Multimedia Technology from the Perspective of Communication Studies, Fan, Ruichan, Journal of Physics: Conference Series, ISSN 1742-6588, Issue 3, Volume 1648, 2020.
Digital Object Identifier: 10.1088/1742-6596/1648/3/032026 [CrossRef]
[9] V2G Şarj İstasyonlarının Optimum Konum ve Kapasitelerinin Gri Kurt Optimizasyon Algoritması ile Belirlenmesi, SARIDAĞ, Ömer, DOĞAN, Ahmet, Bilecik Şeyh Edebali Üniversitesi Fen Bilimleri Dergisi, ISSN 2458-7575, Issue 2, Volume 8, 2021.
Digital Object Identifier: 10.35193/bseufbd.916804 [CrossRef]
[10] Optimizing coordinated spatio-temporal control of electric vehicles for enhanced energy sharing and performance across building communities, Zhang, Linfeng, Alvarez, Edgar Mauricio Ocampo, Huang, Pei, Energy and Buildings, ISSN 0378-7788, Issue , 2024.
Digital Object Identifier: 10.1016/j.enbuild.2024.114167 [CrossRef]
[11] Economic and emission reduction benefits of the implementation of eVTOL aircraft with bi-directional flow as storage systems in islands and case study for Canary Islands, Velaz-Acera, Néstor, Álvarez-García, Javier, Borge-Diez, David, Applied Energy, ISSN 0306-2619, Issue , 2023.
Digital Object Identifier: 10.1016/j.apenergy.2022.120409 [CrossRef]
[12] Comparative Optimization Analysis of Ramp Rate Constriction Factor Based PSO and Electro Magnetism Based PSO for Economic Load Dispatch in Electric Power System, Maharana, Himanshu Shekhar, Dash, Saroj Kumar, 2019 International Conference on Applied Machine Learning (ICAML), ISBN 978-1-7281-3908-1, 2019.
Digital Object Identifier: 10.1109/ICAML48257.2019.00020 [CrossRef]
[13] Smart and Coordinated Charging Using Ensemble Model for Plug-in Electric Vehicle, Najem, Ali, Abdellatif, Abdallah, Kanesan, Jeevan, Khairuddin, Anis Salwa Mohd, Kairi, Muhammad Izhar, 2023 Innovations in Power and Advanced Computing Technologies (i-PACT), ISBN 979-8-3503-2518-8, 2023.
Digital Object Identifier: 10.1109/i-PACT58649.2023.10434577 [CrossRef]
Updated 2 days, 15 hours ago
Disclaimer: All information displayed above was retrieved by using remote connections to respective databases. For the best user experience, we update all data by using background processes, and use caches in order to reduce the load on the servers we retrieve the information from. As we have no control on the availability of the database servers and sometimes the Internet connectivity may be affected, we do not guarantee the information is correct or complete. For the most accurate data, please always consult the database sites directly. Some external links require authentication or an institutional subscription.
Web of Science® is a registered trademark of Clarivate Analytics, Scopus® is a registered trademark of Elsevier B.V., other product names, company names, brand names, trademarks and logos are the property of their respective owners.
Copyright ©2001-2024
Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania
All rights reserved: Advances in Electrical and Computer Engineering is a registered trademark of the Stefan cel Mare University of Suceava. No part of this publication may be reproduced, stored in a retrieval system, photocopied, recorded or archived, without the written permission from the Editor. When authors submit their papers for publication, they agree that the copyright for their article be transferred to the Faculty of Electrical Engineering and Computer Science, Stefan cel Mare University of Suceava, Romania, if and only if the articles are accepted for publication. The copyright covers the exclusive rights to reproduce and distribute the article, including reprints and translations.
Permission for other use: The copyright owner's consent does not extend to copying for general distribution, for promotion, for creating new works, or for resale. Specific written permission must be obtained from the Editor for such copying. Direct linking to files hosted on this website is strictly prohibited.
Disclaimer: Whilst every effort is made by the publishers and editorial board to see that no inaccurate or misleading data, opinions or statements appear in this journal, they wish to make it clear that all information and opinions formulated in the articles, as well as linguistic accuracy, are the sole responsibility of the author.
Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania
All rights reserved: Advances in Electrical and Computer Engineering is a registered trademark of the Stefan cel Mare University of Suceava. No part of this publication may be reproduced, stored in a retrieval system, photocopied, recorded or archived, without the written permission from the Editor. When authors submit their papers for publication, they agree that the copyright for their article be transferred to the Faculty of Electrical Engineering and Computer Science, Stefan cel Mare University of Suceava, Romania, if and only if the articles are accepted for publication. The copyright covers the exclusive rights to reproduce and distribute the article, including reprints and translations.
Permission for other use: The copyright owner's consent does not extend to copying for general distribution, for promotion, for creating new works, or for resale. Specific written permission must be obtained from the Editor for such copying. Direct linking to files hosted on this website is strictly prohibited.
Disclaimer: Whilst every effort is made by the publishers and editorial board to see that no inaccurate or misleading data, opinions or statements appear in this journal, they wish to make it clear that all information and opinions formulated in the articles, as well as linguistic accuracy, are the sole responsibility of the author.
