International Conference on Communication, Computing and Electronics Systems

This book includes high-quality papers presented at the International Conference on Communication, Computing and Electronics Systems 2020, held at the PPG Institute of Technology, Coimbatore, India, on 2122 October 2020. The book covers topics such as automation, VLSI, embedded systems, integrated device technology, satellite communication, optical communication, RF communication, microwave engineering, artificial intelligence, deep learning, pattern recognition, Internet of Things, precision models, bioinformatics, and healthcare informatics.

Presents recent research in the field of communication, computing, and electronic systems Discusses the outcomes of ICCCCES 2020, held in Coimbatore, India Serves as a reference resource for researchers and practitioners in academia and industry

Auteur

V. Bindhu received the B.E. degree in Electronics and Communication Engineering from Bharathiar University, Coimbatore, in 2002, M.E. degree in Applied Electronics from Anna University, Chennai, in 2007, and Ph.D. degree from Anna University, Chennai, in 2014. She has 10 years of teaching experience and 5 years of research experience. Currently, she is Professor at PPG Institute of Technology, Coimbatore. Her area of interest includes signal processing and VLSI design.

João Manuel R. S. Tavares graduated in Mechanical Engineering at the Universidade do Porto, Portugal in 1992. He also earned his M.Sc. degree and Ph.D. degree in Electrical and Computer Engineering from the Universidade do Porto in 1995 and 2001, and attained his Habilitation in Mechanical Engineering in 2015. He is a senior researcher at the Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial (INEGI) and Associate Professor at the Department of Mechanical Engineering (DEMec) of the Faculdade de Engenharia da Universidade do Porto (FEUP).

João Tavares is co-editor of more than 60 books, co-author of more than 50 book chapters, 650 articles in international and national journals and conferences, and 3 international and 3 national patents. He has been a committee member of several international and national journals and conferences, is co-founder and co-editor of the book series "Lecture Notes in Computational Vision and Biomechanics" published by Springer, founder and Editor-in-Chief of the journal "Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization" published by Taylor & Francis, Editor-in-Chief of the journal "Computer Methods in Biomechanics and Biomedical Engineering" published by Taylor & Francis, and co-founder and co-chair of the international conference series: CompIMAGE, ECCOMAS VipIMAGE, ICCEBS and BioDental. Additionally, he has been (co-)supervisor of several MSc and PhD thesis and supervisor of several post-doc projects, and has participated in many scientific projects both as researcher and as scientific coordinator.

His main research areas include computational vision, medical imaging, computational mechanics, scientific visualization, human-computer interaction and new product development.

Alexandros-Apostolos A. Boulogeorgos was born in Trikala, Greece, in 1988. He received the Electrical and Computer Engineering (ECE) diploma degree and Ph.D. degree in Wireless Communications from the Aristotle University of Thessaloniki (AUTh) in 2012 and 2016, respectively. From November 2012, he has been a member of the wireless communications system group (WCSG) of AUTh, while, from November 2017, he has joined the Department of Digital Systems, University of Piraeus. He also serves as an adjunct professor in the department of ECE in the University of Western Macedonia and as a visiting lecturer at the University of Thessaly. Finally, he is a Senior Member of the IEEE as well as the Technical Chamber of Greece, and serves as editor in IEEE Communications Letters.

Chandra is Software IT Executive with diverse experience in Software Technologies, Enterprise Software Architectures, Cloud Computing, Big Data Business Analytics, Internet Of Things (IoT), and Software Product & Program Management. Chandra held engineering and product leadership roles at GE Healthcare, Cisco Systems, Samsung, Deloitte, St. Jude Medical, Lucent Technologies, and Bell Laboratories Company. Chandra teaches Software Engineering, Mobile Computing, Cloud Technologies, and Web & Data Mining for Masters Program in San Jose State University. Additionally, Chandra held market research, strategy, and technology architecture advisory roles in Cisco Systems and Lam Research and performed Principal Investigator role for Valley School of Nursing where he connected Nursing Educators & Students with Virtual Reality technologies. Chandra has functioned as Chair in numerous technology and advanced computing conferences such as IEEE Oxford, UK, IEEE Big Data Services 2017, San Francisco USA, and Future of Information and Communication Conference 2018, Singapore. Chandra graduated from San Jose State University Masters Program, specializing in Software Engineering, and completed his Master of Business Administration from Santa Clara University, Santa Clara, California, USA.

Contenu
Security System for Bit Data Cloud Computing Using Secure Dynamic Bit Standard.- Distributed DBSCAN Protocol for Energy Saving in IoT Networks.- Texture based Face Recognition Using Grasshopper Optimization Algorithm and Deep Convolutional Neural Network.- An Interactive Framework to Compare Multi-criteria Optimization Algorithms: Preliminary Results on NSGA- II and MOPSO.- Arabic Braille Numeral Recognition Using Residual Networks.- Comparative Analysis of LSTM, One-Class SVM, and PCA to Monitor Real-Time Malware Threats Using System Call Sequences and Virtual Machine Introspection.- Acceptance of Biometric Authentication Security Technology on Mobile Devices.- Automated Industrial Sound Power Alert System.- Predicting Early Readmission of Diabetic Patients: Towards Interpretable Models.- Design and Analysis of Mobile based Tourism Security Application: Concepts, Artifacts and Challenges.- On the Evaluation of Effectiveness of eLearning and Blended Learning. <p