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Distributed Computing and Optimization Techniques

Select Proceedings of ICDCOT 2021

  • Conference proceedings
  • © 2022

Overview

Editors:
  1. Sudhan Majhi

    1. Electrical Engineering, Indian Institute of Technology Patna, Patna, India

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  2. Rocío Pérez de Prado

    1. Telecommunication Engineering, University of Jaén, Jaén, Spain

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  3. Chandrappa Dasanapura Nanjundaiah

    1. Electronics and Communication, SJB Institute of Technology, Bengaluru, India

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  • Includes peer-reviewed proceedings of the International Conference on Distributed Computing and Optimization Techniques
  • Consists findings on all aspects of distributed computing and its applications in diverse areas
  • Is a valuable resource for students, academicians, and practitioners in the industry

Part of the book series: Lecture Notes in Electrical Engineering (LNEE, volume 903)

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About this book

This book introduces research presented at the International Conference on Distributed Computing and Optimization Techniques (ICDCOT–2021), a two-day conference, where researchers, engineers, and academicians from all over the world came together to share their experiences and findings on all aspects of distributed computing and its applications in diverse areas. The book includes papers on distributed computing, intelligent system, optimization method, mathematical modeling, fuzzy logic, neural networks, grid computing, load balancing, communication. It will be a valuable resource for students, academics, and practitioners in the industry working on distributed computing.

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Keywords

Table of contents (78 papers)

  1. Chaotic System Based Modified Hill Cipher Algorithm for Image Encryption Using HLS

    • Anvit Negi, Devansh Saxena, Kunal, Kriti Suneja
    Pages 209-218

  2. Chronological-Squirrel Earth Worm Optimization for Power Minimization Using Topology Management in MANET

    • B. Devika, P. N. Sudha
    Pages 219-229

  3. Classification of Neurological Disorders with Facial Emotions and EEG

    • T. G. Geethesh, S. Surya Prasad, K. Harshak Krishnaa, S. Karthick Saran, O. K. Sikha
    Pages 231-240

  4. Comparative Analysis of Machine Learning Approaches for the Early Diagnosis of Keratoconus

    • P. Subramanian, G. P. Ramesh, B. D. Parameshachari
    Pages 241-250

  5. Conversion of NAM to Normal Speech Based on Stochastic Binary Cat Swarm Optimization Algorithm

    • T. Rajesh Kumar, G. N. Balaji, D. Vijendra Babu, Soubraylu Sivakumar, K. Kalaiselvi, G. R. Suresh
    Pages 251-261

  6. Convolutional Neural Network Models for Throat Cancer Classification Using Histopathological Images

    • Ravindranath Kadirappa, Gadipudi Amaranageswarao, S. Deivalakshmi
    Pages 263-271

  7. Deep Learning Based Pneumonia Infection Classification in Chest X-ray Images Using Convolutional Neural Network Model

    • Jyoti Nayak, Devbrat Sahu
    Pages 273-283

  8. Deep Learning Model for Reduction COVID-19 Spreading Through Tracking Students’ Commitment to Wearing a Face Mask

    • Ramy Said Agieb
    Pages 285-294

  9. Design and Analysis of New Ultra Low Power CMOS Based Flip-Flop Approaches

    • Naga Raju Jangam, Likhitha Guthikinda, G. P. Ramesh
    Pages 295-302

  10. Design and Comparative Analysis of Microstrip Patch Antenna by Using Various Materials in HFSS

    • G. P. Ramesh, Pallavi, Hanifa Abdullah, B. D. Parameshachari
    Pages 303-312

  11. Design of an Efficient Mobile Communication and an Armament System for Women Safety

    • Sesha S. Sankar, Valavala Sandeep, K. S. Viswesh, S. Vigneshwar, C. B. Rajesh
    Pages 313-323

  12. Design of an Efficient IoT System for Poultry Farm Management

    • G. Rajakumar, K. Lakshmi Narayanan, R. Santhana Krishnan, Y. Harold Robinson, M. Subramanian, M. Asirvatham
    Pages 325-335

  13. Design of LORA Based Tracking System for Military Personnel

    • G. P. Ramesh, Neha
    Pages 337-345

  14. Design of Quantum Encoders with Minimum Area Overhead

    • M. Navaneetha Velammal, P. Hannah Blessy, J. Friska, A. Rajeshwari
    Pages 347-356

  15. Design of Smart Voice Enabled Walking Stick for Visually Impaired

    • R. Santhana Krishnan, V. Nagaraju, N. Sasikala, K. Lakshmi Narayanan, S. Sundararajan, Y. Harold Robinson
    Pages 357-365

  16. Diagnosis of Parkinson’s Disease Using Optimized Neural Network Model

    • M. Anila, G. Pradeepini
    Pages 367-375

  17. Drug-Drug Interactions and Side Effects Prediction Using Shallow Ensemble Deep Neural Networks

    • Alpha Vijayan, B. S. Chandrasekar
    Pages 377-387

  18. Dual-Band Microstrip Patch Antenna for 5G-NR Applications

    • R. Manu, C. M. Bhoomika, Abhinandan Ajit Jugale, Mohammed Riyaz Ahmed
    Pages 389-397

  19. Dynamic Gradient Sparsity Based Image Registration and Fusion Technique for Satellite Images

    • Anil Naragonahalli ShambuGowda, Chandrappa Dasanapura Nanjundaiah
    Pages 399-409

  20. Effectiveness Analysis of Distance Measures for Graph Coloring Based View-Construction Approach In Multiview Ensemble Learning

    • Sapna Kumari, Vipin Kumar, Aditya Kumar
    Pages 411-424
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Editors and Affiliations

  • Electrical Engineering, Indian Institute of Technology Patna, Patna, India

    Sudhan Majhi

  • Telecommunication Engineering, University of Jaén, Jaén, Spain

    Rocío Pérez de Prado

  • Electronics and Communication, SJB Institute of Technology, Bengaluru, India

    Chandrappa Dasanapura Nanjundaiah

About the editors

Sudhan Majhi is working as an Associate Professor in the Department of Electrical Engineering at the Indian Institute of Technology (IIT) Patna. He received a Ph.D. degree from Nanyang Technological University, Singapore, in 2008. His research interest areas are signal processing for wireless communication, blind signal classification, blind signal synchronization, blind parameter estimation, secrecy capacity of cognitive radios and cooperative communications, MIMO, OFDM, MIMMO-OFDM, SC-FDMA, NOMA, UWB systems, receiver design and implementation on the testbed, and sequence design for wireless communication. Dr. Majhi has published over 90 papers in National and International journals.

 

R. Pérez de Prado received his M.S. degree in telecommunication engineering from the University of Seville, Spain, in 2008, and a Ph.D. degree in telecommunication engineering with European Mention from University of Jaén, Spain, in 2011. She is currently an Associate Professor (Professor Titular de Universidad) at the Telecommunication Engineering Department, University of Jaén, Spain. Her current research interests include artificial intelligence, machine learning, grid computing, cloud computing, and optical fiber. She has authored over 45 publications and has been an editor of the Journal Citation Report (JCR)-indexed journal Applied Soft Computing and Energies since 2014 and 2020, respectively. Also, she belongs to the reviewer board of more than 25 JCR-indexed journals and participated as a technical program committee (TCP) member in 30 international conferences in the field of artificial intelligence and cloud computing. Besides, she has collaborated in 9 research projects and contracts and is currently serving as an external evaluator of the National Committee of Science and Technology and Technology Innovation (CONCYTEC) in Pérú.

 

D.N. Chandrappa is a Professor in the Department of Electronics and Communication Engineering, SJBInstitute of Technology, Bangalore, India. Dr. Chandrappa has over 20 years of experience in the field of engineering education. He received his Ph.D. from Visvesvaraya Technological University, India. His research interests include digital image processing, embedded system, electronics circuit design, and power electronics. He is supervising 05 research scholars for their Ph.D. thesis. He has over 35 research publications in refereed international journals and conferences.


Bibliographic Information

  • Book Title: Distributed Computing and Optimization Techniques

  • Book Subtitle: Select Proceedings of ICDCOT 2021

  • Editors: Sudhan Majhi, Rocío Pérez de Prado, Chandrappa Dasanapura Nanjundaiah

  • Series Title: Lecture Notes in Electrical Engineering

  • DOI: https://doi.org/10.1007/978-981-19-2281-7

  • 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: 978-981-19-2280-0Published: 13 September 2022

  • Softcover ISBN: 978-981-19-2283-1Published: 14 September 2023

  • eBook ISBN: 978-981-19-2281-7Published: 12 September 2022

  • Series ISSN: 1876-1100

  • Series E-ISSN: 1876-1119

  • Edition Number: 1

  • Number of Pages: XXXII, 862

  • Number of Illustrations: 101 b/w illustrations, 325 illustrations in colour

  • Topics: Computer Communication Networks, Programming Techniques, Optimization, Systems and Data Security

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