Editors:
Presents articles from the International Conference on Computer Vision, High Performance Computing, Smart Devices and Networks
Contributions from leading experts in industry and academia
Highlights the use of engineering advances for societal causes and humanitarian needs/applications
Part of the book series: Advanced Technologies and Societal Change (ATSC)
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Table of contents (20 papers)
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Front Matter
About this book
This book consists of selected peer-reviewed articles from the International Conference on Computer Vision, High Performance Computing, Smart Devices and Networks (CHSN-2020), held at JNTU, Kakinada, India. The theme and areas of the conference include vast scope for latest concepts and trends in communication engineering, information theory and networks, signal, image and speech processing, wireless and mobile communication, Internet of Things, and cybersecurity for societal causes and humanitarian applications.
Keywords
- Data analytics
- Visual shape signature
- Human Computer Interaction (HCI)
- Object recognition
- Deep Learning
- Machine Learning
- MRI iamges
- Bigdata
- Wireless communication
- Virtual Reality
- Elliptical dipole antenna
- Internet of Things (IoT)
Editors and Affiliations
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Department of CSE, Jawaharlal Nehru Technological Univ, Kakinanda, India
Ch Satyanarayana
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School of Computing, University of Eastern Finland, Kuopio, Finland
Xiao-Zhi Gao
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Faculty of Computing & Informatics, Multimedia University, Cyberjaya, Malaysia
Choo-Yee Ting
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Computer Science and Engineering, National Institute Of Technology Silchar, Silchar, India
Naresh Babu Muppalaneni
About the editors
Dr. Ch. Satyanarayana is currently working as Professor in the Department of Computer Science and Engineering, Jawaharlal Nehru Technological University, Kakinada, Andhra Pradesh, India. He received his Ph.D. in 2007 from JNTU. He has 20+ years of teaching, research experience, and 10 years of administrative experience in various capacities like Controller of Examinations, Head of the Department, and Director Academic and Planning. He has supervised 25 Ph.D. students and 200+ master’s students. He is Senior Member of IEEE. His research interests include image processing, speech recognition, pattern recognition, network security and big data analytics, and computational intelligence.
Dr. Xiao-Zhi Gao received his B.Sc. and M.Sc. degrees from the Harbin Institute of Technology, China, in 1993 and 1996, respectively. He obtained his D.Sc. (Tech.) degree from the Helsinki University of Technology (now Aalto University), Finland, in 1999. In January 2004, he was appointed as Docent (Adjunct Professor) at the same university. He is now working as Professor of data science at the University of Eastern Finland, Finland. He is also Guest Professor at the Harbin Institute of Technology, Beijing Normal University, and Shanghai Maritime University, China. He has published more than 400 technical papers on refereed journals and international conferences, and his current Google Scholar H-index is 32. His research interests are nature-inspired computing methods (e.g., neural networks, fuzzy logic, evolutionary computing, swarm intelligence, and artificial immune systems) with their applications in optimization, data mining, machine learning, control, signal processing, and industrial electronics.
Dr. Choo-Yee Ting is currently working as Professor at the Faculty of Computing and Informatics, Multimedia University, Cyberjaya, Malaysia. He is also Deputy Dean of the Institute for Postgraduate Studies, Multimedia University. In year 2002, he was awarded Fellow of Microsoft Research by Microsoft Research Asia, Beijing, China. He has been active in research projects related to predictive analytics and big data. Most of the projects were funded by MOE, MOSTI, Telekom Malaysia, MDeC, and industries. In year 2014, he and his team members won two national-level big data analytics competitions. He has been Trainer for MDeC and INTAN for courses related to big data and data science. He is also Consultant, Mentor, and Assessor for projects under MDeC funding. Currently, he is working on Trouble Ticket Resolution prediction for Telekom Malaysia, AirAsia seat capacity optimization, and Dengue outbreak prediction for the government of Philippines. He is certified in Microsoft Technology Associate (Database), IBM DB2 CDA, and the Coursera Data Science Specialization (John Hopkins University).
Dr. Naresh Babu Muppalaneni is currently working as Assistant Professor in the Department of Computer Science and Engineering at the National Institute of Technology, Silchar. He received his M.Tech. from Andhra University and Ph.D. from Acharya Nagarjuna University. He has published more than 30 papers in different International journals, chapters, and conference proceedings and edited research volumes. He has published 5 volumes in Springer Briefs in Forensic and Medical Bioinformatics. He is Fellow of IETE, Life Member of CSI, Member of ISCA, and Senior Member of IEEE. He is Recipient of Best Teacher Award from JNTU Kakinada. He has completed research projects worth of 2 crore rupees from DST, DRDO. He has organized 6 international conferences and 4 workshops. His research interests are artificial intelligence in biomedical engineering, human and machine interaction and applications of intelligent system techniques, social network analysis computational systems biology, bioinformatics, and cryptography
Bibliographic Information
Book Title: Proceedings of the International Conference on Computer Vision, High Performance Computing, Smart Devices and Networks
Book Subtitle: CHSN-2020
Editors: Ch Satyanarayana, Xiao-Zhi Gao, Choo-Yee Ting, Naresh Babu Muppalaneni
Series Title: Advanced Technologies and Societal Change
DOI: https://doi.org/10.1007/978-981-19-4044-6
Publisher: Springer Singapore
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2022
Hardcover ISBN: 978-981-19-4043-9Published: 10 November 2022
Softcover ISBN: 978-981-19-4046-0Due: 24 November 2023
eBook ISBN: 978-981-19-4044-6Published: 09 November 2022
Series ISSN: 2191-6853
Series E-ISSN: 2191-6861
Edition Number: 1
Number of Pages: XII, 207
Number of Illustrations: 23 b/w illustrations, 74 illustrations in colour
Topics: Computational Intelligence, User Interfaces and Human Computer Interaction, Imaging Techniques, Wireless and Mobile Communication, Signal, Speech and Image Processing , Internet of Things