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  • Conference proceedings
  • © 2022

Proceedings of the International Conference on Computer Vision, High Performance Computing, Smart Devices and Networks

CHSN-2020

  • 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)

  • 1183 Accesses

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  • ISBN: 978-981-19-4044-6
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Table of contents (20 papers)

  1. Front Matter

    Pages i-xii
  2. Character Recognition System Using CNN for Sanskrit Text

    • R. Dinesh Kumar, M. Kalimuthu, B. Jayaram
    Pages 1-7
  3. Wireless sEMG Acquisition and Monitoring—A Survey

    • R. D. Delina Rajkumari, Prakash Rajiah, A. Lakshmi Sangeetha, A. Pravin Renold, A. Balaji Ganesh
    Pages 19-27
  4. Black Hole Algorithm for BigData Anonymization

    • U. Selvi, S. Pushpa
    Pages 29-40
  5. Sleep Quality Analysis Using Motion Signals and Heart Rate

    • R. Vijayalakshmi, Prakash Rajiah, A. Lakshmi Sangeetha, A. Balaji Ganesh
    Pages 41-49
  6. Prediction and Performance Assessment in Woman Handball Athletes by Employing Machine Learning Methods

    • Kolla Vivek, J. Harikiran, Kunda Suresh Babu, Ch. Anil Carie
    Pages 51-60
  7. Deep Learning for Object Detection: A Survey

    • Mohan Krishna Kotha, Kanadam Karteeka Pavan
    Pages 61-84
  8. Routing Protocols: A Survey

    • K. Raghavendra Rao, B. N. Jagadesh
    Pages 85-94
  9. A Novel Curve-Energy Framework to Find the Shortest Possible Lines Through Computer Vision

    • Chandra Sekhar Akula, Asadi Srinivasulu, Ch. Prathima
    Pages 113-119
  10. A Novel Hybrid Tracking Algorithm for Client–Server Connection Using a Machine Learning Technique

    • P. Rama Santosh Naidu, P. Satheesh, B. Srinivas, Venkateswarlu Sunkari
    Pages 121-129
  11. Surface Damage Indicators Identification Through Simulation Studies in Computer Vision

    • B. Srinivas, P. Satheesh, P. Rama Santosh Naidu
    Pages 131-137
  12. High-Performance Computing Framework for Virtual Memory Using CNN

    • K. Rameshwaraiah, S. Sree Hari Raju, K. Ashok Kumar
    Pages 147-155
  13. High-Performance Computing Center Framework for Smart Farming

    • Chandra Sekhar Akula, Venkateswarlu Sunkari, Ch. Prathima
    Pages 157-162
  14. Data Mining Approach for Prediction of Various Risk Factors in Supply Chain Management

    • D. R. Kumar Raja, G. Hemanth Kumar, P. Lakshmi Sagar
    Pages 173-180
  15. Reliable Smart Grid Framework Designs Through Data Processing and Analysis Process

    • Chandra Sekhar Akula, Ch. Prathima, Asadi Srinivasulu
    Pages 189-194

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

  • Department of CSE, Jawaharlal Nehru Technological Univ, Kakinanda, India

    Ch Satyanarayana

  • School of Computing, University of Eastern Finland, Kuopio, Finland

    Xiao-Zhi Gao

  • Faculty of Computing & Informatics, Multimedia University, Cyberjaya, Malaysia

    Choo-Yee Ting

  • 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

Buying options

eBook USD 189.00
Price excludes VAT (USA)
  • ISBN: 978-981-19-4044-6
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Hardcover Book USD 249.99
Price excludes VAT (USA)