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Signals, Machines and Automation

Select Proceedings of SIGMA 2022

  • Conference proceedings
  • © 2023

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Overview

  • Presents cutting-edge technologies in the areas of energy, data processing, and healthcare
  • Include extensive research results of computer simulation and hardware studies
  • Discusses the recent research issues and developed solutions all around the globe

Part of the book series: Lecture Notes in Electrical Engineering (LNEE, volume 1023)

Included in the following conference series:

Conference proceedings info: SIGMA 2022.

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About this book

This book constitutes selected peer-reviewed proceedings of the 2nd International Conference on Signals, machines, and Automation (SIGMA 2022). This book includes papers on technologies related to electric power, manufacturing processes & automation, biomedical & healthcare, communication & networking, image processing, and computation intelligence. The book will serve as a valuable reference resource for beginners as well as advanced researchers in the areas of engineering & technology.


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Keywords

Table of contents (70 papers)

  1. Advanced Control Technologies

  2. Healthcare Technologies

  3. Communication and Network Technologies

Other volumes

  1. Signals, Machines and Automation

Editors and Affiliations

  • Department of Instrumentation and Control Engineering, Netaji Subhas University of Technology, New Delhi, India

    Asha Rani, Bhavnesh Kumar

  • Department of Electrical Engineering, National Institute of Technology Delhi, New Delhi, India

    Vivek Shrivastava

  • Department of Electrical Engineering, University of Sharjah, Sharjah, United Arab Emirates

    Ramesh C. Bansal

About the editors

Prof. Asha Rani received her B.Tech. in Electrical Engineering from Now National Institute of Technology (NIT) Hamirpur, in 1998. She received her M.E. degree in Electrical Engineering from the Indian Institute of Technology (IIT) Roorkee in 2000 and her Ph.D. in 2013 from the University of Delhi, India. She joined as a lecturer in the Instrumentation and Control Engineering Division at the Netaji Subhas University of Technology, New Delhi in 2001 and currently is a Professor. She has published several papers in journals and conferences of national and international repute. She has guided over 28 M.Tech. and 6 Ph.D. theses. Her areas of research are renewable energy, intelligent control, adaptive control, soft computing-based adaptive control, biomedical signal processing, and robotic manipulator. She is a senior member of IEEE and IETE.

Dr. Bhavnesh Kumar has over 10 years of diversified experience in teaching and learning, accreditation, research, industrial, and academics. Currently, he is an assistant professor at the Netaji Subhas University of Technology, India. He has published around 50 research papers in journals and conferences of national and international repute. He is a member of various professional bodies such as IEEE, IACSIT, ISCA, and ISTE. Under his guidance, 10 M.Tech. students have completed their dissertations and 3 research scholars have completed their Ph.D. His research area includes the application of artificial intelligence to the field of renewable energy systems and electric drives. 

Prof. Vivek Shrivastava has over 15 years of diversified experience in teaching and learning, accreditation, research, industrial, and academic leadership in India, China, and the USA. Currently, he is the Dean of Research & Consultancy at the National Institute of Technology (NIT) Delhi. He has published over 80 journal articles, presented papers at conferences, and published several chapters in books.He has supervised 04 Ph.D. and 14 postgraduate students and is currently supervising several Ph.D. students.

Prof. Ramesh C. Bansal has more than 25 years of diversified experience in research, scholarship of teaching and learning, accreditation, industrial, and academic leadership in several countries. Currently, he is a Professor in the Department of Electrical Engineering at the University of Sharjah and an extraordinary professor at the University of Pretoria. Previously he was a Professor and Group Head (Power) in the ECE Department at the University of Pretoria (UP), South Africa. Before his appointment at UP, he was employed by the University of Queensland, Australia; University of the South Pacific, Fiji; BITS Pilani, India; and Civil Construction Wing, All India Radio. Prof. Bansal has published over 400 journal articles and presented papers at conferences, books, and chapters in books. He has Google citations of over 16000 and an h-index of 60. He has supervised 25 Ph.D., 5 Post Docs and is currently supervising 5 Ph.D. students. His diversified research interests are in the areas of Renewable Energy (wind, PV, microgrid), Power Systems, and Smart Grid. Professor Bansal is an Editor/Associate Editor of several highly regarded journals including IEEE Systems Journal, IET Renewable Power Generation, and Technology and Economics of Smart Grids and Sustainable Energy. He is a Fellow and Chartered Engineer of IET-UK, a Fellow Institution of Engineers (India), a Fellow SAIEE (South Africa), and a Senior Member of IEEE-USA.

Bibliographic Information

  • Book Title: Signals, Machines and Automation

  • Book Subtitle: Select Proceedings of SIGMA 2022

  • Editors: Asha Rani, Bhavnesh Kumar, Vivek Shrivastava, Ramesh C. Bansal

  • Series Title: Lecture Notes in Electrical Engineering

  • DOI: https://doi.org/10.1007/978-981-99-0969-8

  • Publisher: Springer Singapore

  • eBook Packages: Energy, Energy (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2023

  • Hardcover ISBN: 978-981-99-0968-1Published: 23 May 2023

  • Softcover ISBN: 978-981-99-0971-1Published: 24 May 2024

  • eBook ISBN: 978-981-99-0969-8Published: 22 May 2023

  • Series ISSN: 1876-1100

  • Series E-ISSN: 1876-1119

  • Edition Number: 1

  • Number of Pages: XVI, 681

  • Number of Illustrations: 69 b/w illustrations, 330 illustrations in colour

  • Topics: Energy Systems, Signal, Image and Speech Processing, Artificial Intelligence, Computer Applications

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