Computing Algorithms with Applications in Engineering (eBook)
Proceedings of ICCAEEE 2019
eBook Download:
PDF
2020
|
1st ed. 2020
XV, 464 Seiten
Springer Singapore (Verlag)
978-981-15-2369-4 (ISBN)
XV, 464 Seiten
Springer Singapore (Verlag)
978-981-15-2369-4 (ISBN)
This book collects high-quality research papers presented at the International Conference on Computing Applications in Electrical & Electronics Engineering, held at Rajkiya Engineering College, Sonbhadra, India, on August 30-31, 2019. It provides novel contributions in computational intelligence, together with valuable reference material for future research. The topics covered include: big data analytics, IoT and smart infrastructures, machine learning, artificial intelligence and deep learning, crowd sourcing and social intelligence, natural language processing, business intelligence, high-performance computing, wireless, mobile and green communications, ad-hoc, sensor and mesh networks, SDN and network virtualization, cognitive systems, swarm intelligence, human-computer interaction, network and information security, intelligent control, soft computing, networked control systems, renewable energy sources and technologies, biomedical signal processing, pattern recognition and object tracking, and sensor devices and applications.
Dr. R. K. Patel is working as an Assistant Professor, Department of Electrical Engineering, Rajkiya Engineering College, Sonbhadra. He obtained his M.Tech. from NIT Hamirpur (H.P.) in Condition Monitoring Control and Protection of Electrical Apparatus and received Director's Medal for M.Tech. degree in year 2013. Dr. Patel obtained his Ph.D. from AKTU, Lucknow, in Electrical Engineering. He received 'SHRESTHA SHIKSHAK PURASKAR-2007' on Teachers' Day, by Vice-Chairman of Sharda Group Institution. He also received best paper award in IEEE Students' Conference on Engineering and Systems (SCES -2012) MNNIT Allahabad, Prayagraj, and best paper award on Research Scholar Day 30th March, 2015, at MMMUT, Gorakhpur. His research interests include condition monitoring and fault diagnosis of electrical machines, structure health monitoring, prognosis and health management. He has authored 12 research papers and 7 conference papers. He is having total 10 years teaching experience at UG level.
This book collects high-quality research papers presented at the International Conference on Computing Applications in Electrical & Electronics Engineering, held at Rajkiya Engineering College, Sonbhadra, India, on August 30-31, 2019. It provides novel contributions in computational intelligence, together with valuable reference material for future research. The topics covered include: big data analytics, IoT and smart infrastructures, machine learning, artificial intelligence and deep learning, crowd sourcing and social intelligence, natural language processing, business intelligence, high-performance computing, wireless, mobile and green communications, ad-hoc, sensor and mesh networks, SDN and network virtualization, cognitive systems, swarm intelligence, human-computer interaction, network and information security, intelligent control, soft computing, networked control systems, renewable energy sources and technologies, biomedical signal processing, pattern recognition and object tracking, and sensor devices and applications.
Dr. V K Giri obtained his B.E. (Electrical) degree from REC (presently SVNIT), Surat, Gujrat, in 1988, M.E. (Measurement and Instrumentation) Hons. degree from University of Roorkee in 1997 and Ph.D. degree from Indian Institute of Technology Roorkee, in 2003. He joined the Electrical Engineering Department of Madan Mohan Malviya University of Technology, Gorakhpur, U.P. (formerly, M.M.M Engineering College, Gorakhpur,) in 1989 as lecturer. He holds the position of Professor in the same department since 2008 and currently working as Director in Rajkiya Engineering College, Sonbhadra, since 2016. He has published more than 110 research papers, guided 21 PG students, and supervised 03 Ph.D. & is supervising 04 Ph.D. book. He has received many awards including 'The Corps of Engineers Prize', i.e. best paper award from the Institution of Engineers (India) in 23rd Indian Engineering Congress in year 2008. He was elected as Fellow of the Institution of Engineers (I), Institution of Electronics and Telecommunication Engineers (IETE), and is a member of many professional bodies such as life member ISTE, member IEE and member CSI. He is reviewer of several international and national journals. He has been the member of advisory and technical committee of many international and national conferences. He has been the Member of Board of Governor, MMMEC and Chairman/Member of BOS of different Institutes/Universities. Apart from the academics, he had been holding almost all the possible positions of any technical Institutes/Universities. He has also undertaken large number of consultancy, testing & sponsored projects from industries and government departments. His research interests include digital signal processing, measurement and instrumentation, biomedical instrumentation, ECG data compression, telemedicine and health monitoring of rotating machines.
Dr. Nishchal K Verma (SM'13) is Professor, Department of Electrical Engineering and Inter-disciplinary Program in Cognitive Science, Indian Institute of Technology Kanpur, India. He obtained his Ph.D. in Electrical Engineering from Indian Institute of Technology Delhi, India. He is an awardee of Devendra Shukla Young Faculty Research Fellowship by Indian Institute of Technology Kanpur, India, for year 2013-16. His research interests include big data analysis, deep learning of neural and fuzzy networks, machine learning algorithms, computational intelligence, computer vision, brain-computer/machine interface, intelligent informatics, soft computing in modelling and control, Internet of Things/ cyber-physical systems, cognitive science and intelligent fault diagnosis systems, prognosis and health management. He has authored more than 200 research papers.
Dr. Verma is an IETE Fellow. He is currently serving as Guest Editor of the IEEE Access Special Section 'Advance in Prognostics and System Health Management', an Editor of the IETE Technical Review Journal, an Associate Editor of the IEEE Transactions on Neural Networks and Learning Systems, an Associate Editor of the IEEE Computational Intelligence Magazine, an Associate Editor of the Transactions of the Institute of Measurement and Control, U.K., and Editorial Board Member for several journals and conferences.
Dr. V. P. Singh is working as an Assistant Professor, Department of Electrical Engineering, Rajkiya Engineering College, Sonbhadra. He obtained his M.Tech. and Ph.D. in Electrical Engineering from MNNIT Allahabad, Prayagraj, India. He has total teaching experience 08 years at UG level and research experience 03 years. His research interests include smart grid, renewable energy resources, distributed generation system, multi-agent system, power system and load frequency control. He has authored 09 SCI research papers published in high impact factor journals and 10 international conference papers. Presently, Dr. Singh is guiding 2 Ph.D. students. He chaired a session in IEEE ISGT ASIA-2015, Thailand, Bangkok. He is regular reviewer of IEEE Transaction on Energy Conversion, IEEE Transaction on Industrial Informatics, IEEE Systems Journals, IET, Generation Transmission and Distribution, Electric Power System and Research and Electrical Energy and Power System. Dr. Singh has delivered many expert talks in various reputed institutions in Faculty development program and conference in India.
This book collects high-quality research papers presented at the International Conference on Computing Applications in Electrical & Electronics Engineering, held at Rajkiya Engineering College, Sonbhadra, India, on August 30-31, 2019. It provides novel contributions in computational intelligence, together with valuable reference material for future research. The topics covered include: big data analytics, IoT and smart infrastructures, machine learning, artificial intelligence and deep learning, crowd sourcing and social intelligence, natural language processing, business intelligence, high-performance computing, wireless, mobile and green communications, ad-hoc, sensor and mesh networks, SDN and network virtualization, cognitive systems, swarm intelligence, human-computer interaction, network and information security, intelligent control, soft computing, networked control systems, renewable energy sources and technologies, biomedical signal processing, pattern recognition and object tracking, and sensor devices and applications.
| Erscheint lt. Verlag | 2.3.2020 |
|---|---|
| Reihe/Serie | Algorithms for Intelligent Systems | Algorithms for Intelligent Systems |
| Zusatzinfo | XV, 464 p. 302 illus., 189 illus. in color. |
| Sprache | englisch |
| Themenwelt | Informatik ► Theorie / Studium ► Algorithmen |
| Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
| Technik ► Elektrotechnik / Energietechnik | |
| Technik ► Maschinenbau | |
| Schlagworte | Artificial intelligence and deep learning • Big Data Analytics • Crowd Sourcing & Social Intelligence • IoT and Smart Infrastructures • machine learning • Natural Language Processing |
| ISBN-10 | 981-15-2369-X / 981152369X |
| ISBN-13 | 978-981-15-2369-4 / 9789811523694 |
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