Overview
- Presents high-quality research in the area of innovation in power, communication, and computing
- Features the outcomes of IEPCCT 2019, held at Siksha 'O' Anusandhan (Deemed to be University), Bhubaneswar, India
- Serves as a reference resource for researchers and practitioners in academia and industry
Part of the book series: Lecture Notes in Electrical Engineering (LNEE, volume 630)
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Table of contents (58 papers)
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Front Matter
Keywords
About this book
Editors and Affiliations
About the editors
Dr. Manohar Mishra is an Associate Professor in the Department of Electronics & Electrical Engineering, under the Faculty of Engineering & Technology, Siksha ‘O’ Anusandhan University, Bhubaneswar. He received his Ph.D. in Electrical Engineering, M.Tech. in Power Electronics and Drives, and B.Tech. in Electrical Engineering in 2017, 2012, and 2008, respectively. He has published more than 22 research papers in various reputed peer-reviewed international journals, conferences, and book chapters. He has served as reviewers for various reputed journal publishers such as Springer, IEEE, Elsevier, and Inderscience. At present, he has more than eight years of teaching experience in the field of Electrical Engineering. He is a member of IEEE. He is currently guiding two Ph.D. and Master scholars. His area of interest includes power system analysis, power system protection, signal processing, power quality, distribution generation system, and micro-grid.
Dr. Janmenjoy Nayak is working as an Associate Professor, Department of Computer Science and Engineering, Aditya Institute of Technology and Management (AITAM), Tekkali, K Kotturu, AP- 532201, India. He has published more than 80 research papers in various reputed peer-reviewed referred 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, Young Faculty in Engineering-2017 Award by Venus International Foundation, Chennai and Best Young Researcher in Computer Science Engineering, by Institute of Technical and Scientific Research, ITSR Foundation Award-2017, Jaipur, Rajasthan. 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, etc. 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 has served as Volume Editor of International Conference on Computational Intelligence in Data Mining (ICCIDM-2017, ICCIDM-2018), International Conference on Computational Intelligence in Pattern Recognition(CIPR-2019), International Conference on Application of Robotics in Industry using Advanced Mechanisms (ARIAM-2019), and International Conference on “Soft Computing in Data Analytics (SCDA-2018).
Dr. Bighnaraj Naik is an Assistant Professor in the Department of Computer Application, Veer Surendra Sai Universityof 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 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 fuzzy logic, neural networks, information theory, and evolutionary algorithms.
Bibliographic Information
Book Title: Innovation in Electrical Power Engineering, Communication, and Computing Technology
Book Subtitle: Proceedings of IEPCCT 2019
Editors: Renu Sharma, Manohar Mishra, Janmenjoy Nayak, Bighnaraj Naik, Danilo Pelusi
Series Title: Lecture Notes in Electrical Engineering
DOI: https://doi.org/10.1007/978-981-15-2305-2
Publisher: Springer Singapore
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer Nature Singapore Pte Ltd. 2020
Hardcover ISBN: 978-981-15-2304-5Published: 22 February 2020
Softcover ISBN: 978-981-15-2307-6Published: 22 February 2021
eBook ISBN: 978-981-15-2305-2Published: 21 February 2020
Series ISSN: 1876-1100
Series E-ISSN: 1876-1119
Edition Number: 1
Number of Pages: XXVII, 730
Number of Illustrations: 126 b/w illustrations, 313 illustrations in colour
Topics: Power Electronics, Electrical Machines and Networks, Circuits and Systems, Communications Engineering, Networks, Computer Communication Networks