This book introduces research presented at the International Conference on Distributed Computing and Optimization Techniques (ICDCOT2021), 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.

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

Autorentext
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.

Inhalt

1. 1T-1D Single-Ended SRAM Cell Design for Low Power Applications using CMOS technology.- 2. A Local Descriptor and Histogram of Oriented Gradients for Makeup Invariant Face Recognition under Uncontrolled Environment.- 3. A Preventive Framework for Mine Representatives Utilizing Remote Sensor Networks with Optimized Routing.- 4. A Quantitative Study of Image Fusion using Hybrid Approach.- 5. A Review on Smart Road Traffic Management System using LoRa WAN.- 6. A Road Side Unit Based Proxy Signature Scheme for Fast Verification of Messages in Vehicular Ad-Hoc Network.- 7. A Secure Data Transmission using AODV and Hash Function for MANET.- 8. A Study on Different Types of Convolutions in Deep Learning in the Area of Lane Detection.- 9. A Study on the Impact of DC Appliances and Direct DC Power System in India.- 10. A Survey on Vehicle Detection and Classification for Electronic Toll Collection Applications. <p