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    Intelligent Computing in Control and Communication

    Proceeding of the First International Conference on Intelligent Computing in Control and Communication (ICCC 2020)

    AvG.T. Chandra Sekhar,H. S. Behera

    Inbunden, Engelska, 2021

    Del 702 i serien Lecture Notes in Electrical Engineering

    2 155 kr

    Beställningsvara. Skickas inom 10-15 vardagar. Fri frakt över 249 kr.

    Beskrivning

    This book consists of peer-reviewed papers presented at the First International Conference on Intelligent Computing in Control and Communication (ICCC 2020). It comprises interesting topics in the field of applications of control engineering, communication and computing technology. As the current world is witnessing the use of various intelligent techniques for their independent problem solving, so this book may have a wide importance for all range of researchers and scholars. The book serves as a reference for researchers, professionals and students from across electrical, electronic and computer engineering disciplines.

    Produktinformation

    • Utgivningsdatum:2021-01-05
    • Mått:155 x 235 x 44 mm
    • Vikt:1 232 g
    • Format:Inbunden
    • Språk:Engelska
    • Serie:Lecture Notes in Electrical Engineering
    • Antal sidor:691
    • Förlag:Springer Verlag, Singapore
    • ISBN:9789811584381

    Utforska kategorier

    • Energiteknik inom Naturvetenskap och teknik
    • Elektronik och kommunikationer inom Naturvetenskap och teknik

    Mer om författaren

    Dr. G. T. Chandra Sekhar is working as an Associate Professor in the Department of Electrical & Electronics Engineering, Sri Sivani College of Engineering, Chilakapalem, Srikakulam, Andhra Pradesh. He received Ph.D. degree in Electrical Engineering from Veer Surendra Sai University of Technology, Burla, Odisha, India. He has published more than 40 research papers in various international journals and international/national conferences. He is acting as a member of the editorial/reviewer board of various international journals/conferences. He is the recipient of Best Young Researcher (Male) Electrical Engineering by ITSR Foundation Award-2017 and Young Leader in Engineering during the Higher Education Leadership Meet (HELM 2018) organized by Venus International Foundation. His research interests include soft computing applications in power system engineering. He has been serving as an active member of reviewer committee of various reputed peer-reviewed journals such as IET Journals (GTD), Springer, International Journal of Computational System Engineering, International Journal of Swarm Intelligence, Elsevier, etc. His area of interest includes intelligent computing, control system and power stability.  His research interests include soft computing application in power system engineering. Dr. Chandra Sekhar is a life member of ISTE and AMIE (India), IAENG(Hongkong) and ISAET and associate member of IRED.Dr. Himansu Sekhar Behera is working as an Associate Professor in the Department of Information Technology, Veer Surendra Sai University of Technology (VSSUT) (A Unitary Technical University, Established by Government of Odisha), Burla, Odisha. He has received M.Tech. in Computer Science & Engineering from NIT, Rourkela (formerly REC, Rourkela), and Doctor of Philosophy in Engineering (Ph.D.) from Biju Pattnaik University of Technology (BPUT), Rourkela, Government of Odisha, respectively. He has published more than 90 research papers in various international journals and conferences, edited 11 books and is acting as a member of the editorial/reviewer board of various international journals. He is proficient in the field of computer science engineering, served the capacity of program chair and tutorial chair and acts as advisory member of committees of many national and international conferences. His research interest includes data mining and intelligent computing. He is associated with various educational and research societies like OITS, ISTE, IE, ISTD, CSI, OMS, AIAER, SMIAENG and SMCSTA. He is currently guiding seven Ph.D. scholars, and five scholars have been awarded under his guidance. Dr. Janmenjoy Nayak is working as an Associate Professor, Department of Computer Science and Engineering, Aditya Institute of Technology and Management (AITAM) (An Autonomous Institution declared by UGC), Tekkali, Andhra Pradesh, India. He has published more than 80 research papers in various reputed peer-reviewed refereed journals, international conferences and book chapters. He is the recipient of best researcher award from Jawaharlal Nehru University of Technology, Kakinada, Andhra Pradesh, for the AY: 2018–2019, Gold Medalist in Computer Science (two times) and many other awards of national repute. Moreover, he is the recipient of Outstanding Reviewer for the Journal “Engineering Applications of Artificial Intelligence” for 2017, by Elsevier Publications. His area of interest includes data mining, nature-inspired algorithms and soft computing. He is the regular member of IEEE and life member of some of the reputed societies like CSI India. He has edited four books from various publishers such as Elsevier, Springer and IGI Global. He has been serving as Guest Editor of various journal special issues from Elsevier, Springer and Inderscience. He is the author of one textbook and has served as Volume Editor of the Springer proceedings of six international conferences of various themes of soft computing, intelligent computing, etc.Dr. Bighnaraj Naik is an Assistant Professor in the Department of Computer Application, Veer Surendra Sai University of Technology (Formerly UCE Burla), Odisha, India. He received his Ph.D. in Computer Science and Engineering, M.Tech. in Computer Science and Engineering and B.E. in Information Technology in 2016, 2009 and 2006, respectively. He has published more than 70 research papers in various reputed peer-reviewed international journals, conferences and book chapters. He has edited four books from various publishers such as Elsevier, Springer and IGI Global. At present, he has more than ten years of teaching experience in the field of computer science and IT. He is a member of IEEE. His area of interest includes data mining, computational intelligence, soft computing and its applications. He has been serving as Guest Editor of various journal special issues from Elsevier, Springer and Inderscience. He has served as Convener & Volume Editor of the International Conference on Computational Intelligence in Data Mining (ICCIDM-2017, ICCIDM-2018) and International Conference on Computational Intelligence in Pattern Recognition – 2019, IIEST, Shibpur, West Bengal. Dr. Danilo Pelusi has received the Ph.D. degree in Computational Astrophysics from the University of Teramo, Italy. Presently, he is holding the position of Associate Professor at the Faculty of Communication Sciences, University of Teramo. Associate Editor of IEEE Transactions on Emerging Topics in Computational Intelligence, IEEE Access, International Journal of Machine Learning and Cybernetics (Springer) and Array (Elsevier), he served as Guest Editor for Elsevier, Springer and Inderscience journals, as program member of many conferences and as editorial board member of many journals. Reviewer of reputed journals such as IEEE Transactions on Fuzzy Systems and IEEE Transactions on Neural Networks and Machine Learning, his research interests include intelligent computing, communication system, fuzzy logic, neural networks, information theory and evolutionary algorithms.

    Innehållsförteckning

    • A Fuzzy based STATCOM Controller for Grid Interconnection of Fuel System to Improve Power Quality.- Comparison of Uplink Spectral Efficiency in Massive MIMO Systems.- Design and Analysis of Redox Flow Battery for Load Frequency Control of Power System.- DE assisted LFC of Three Area-Six Source Interconnected Power System with Wind Model and Fuel Cell under Restructured Environment.- Performance Analysis of PID Controller and Sliding Mode.- Control for Electric Vehicle Applications in Interleaved Double Boost Converter.- A Comparative Study of Unit Commitment Problem by Dynamic Programming and Genetic Algorithm.- Robust Fuzzy Logic Controller for DC Motor Stability Enhancement under Load Disturbances.- Optimal Scheduling for Delay Management in Railway Network using Hybrid Bat Algorithm.- Optimal Rescheduling of Real Power to Mitigate Congestion using Elephant Herd Optimization.- Adiabatic Logic based Area and Energy Efficient Full Adder Design.
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