Advances in Communication and Computational Technology

Select Proceedings of ICACCT 2019
1. Auflage 2021
ISBN: 978-981-15-5343-1
Verlag: Springer Nature Singapore

Buch, Englisch, Band 668, 1537 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 2342 g

Reihe: Lecture Notes in Electrical Engineering

This book presents high-quality peer-reviewed papers from the International Conference on Advanced Communication and Computational Technology (ICACCT) 2019 held at the National Institute of Technology, Kurukshetra, India. The contents are broadly divided into four parts: (i) Advanced Computing, (ii) Communication and Networking, (iii) VLSI and Embedded Systems, and (iv) Optimization Techniques.The major focus is on emerging computing technologies and their applications in the domain of communication and networking. The book will prove useful for engineers and researchers working on physical, data link and transport layers of communication protocols. Also, this will be useful for industry professionals interested in manufacturing of communication devices, modems, routers etc. with enhanced computational and data handling capacities.

Zielgruppe

Research

Autoren/Hrsg.

Hura, Gurdeep Singh

Siong Hoe, Lau

Singh, Ashutosh Kumar

Fachgebiete

• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Handheld Programmierung
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Mathematik | Informatik EDV | Informatik Computerkommunikation & -vernetzung
• Technische Wissenschaften Energietechnik | Elektrotechnik Elektrotechnik
• Mathematik | Informatik EDV | Informatik Technische Informatik Eingebettete Systeme
• Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik Bauelemente, Schaltkreise
• Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik Signalverarbeitung

Inhaltsverzeichnis

Part 1: Advanced Computing.- Distributed Computing.- Cloud Computing.- Cluster and Grid Computing.- Green Computing.- Image and Video Processing-. Big Data Computing.- Machine Learning.- Parallel Computing.- Soft Computing.- Quantum Computing.- Mobile Computing.- Quantum Computing.- Mobile Computing.- Biomedical Computing, Bioinformatics.- Swarm Intelligence & Swarm Robotics.- Evolutionary Computing.- Cellular Automata.- Cellular Computing.- Membrane Computing.- Part 2: Communication & Networking.- Signal Processing.- Image Processing.- Computer Network.- Wireless Network.- Ad-hoc Network.- Internet of Things (IOT).- Network Security.- Cryptography.- Physical Layer Security.- Cognitive Radios.- Software Defined Radio.- Optical Communication.- Antenna.- Satellite and Space Communications.- Next Generation Computing and Communication.- Network Analytics.- Vehicular, Underground and Underwater Networks.- RFID and Sensor Network.- Mobile & Ubiquitous Communication Networks.- Mobile Cloud.- Internet Technologies.- Information-Centric Networking.- Remote Sensing and GIS.- Network Protocols.- Modelling & Simulation of Communication Networks and Systems.- Software-Defined Networking.- Fault Tolerance, Reliability, and Survivability.- Flow and Congestion Control.- Network Architectures.- Part 3: VLSI & Embedded Systems.- Computer Architecture.- VLSI Circuit Design and CAD Tools.- Material Science and Nano Technology.- Nano Electronics and VLSI Technology.- Embedded Systems.- Mathematical Modeling and Scientific Computing.- Hybrid Intelligent Models and Applications.- Medical Informatics.- Part 4: Optimization Technique.- Control Systems and Applications.- Renewable Energy.- Power Electronics.- Cloud and Systems Management.- Big Data Communication and Analytics.- Algorithm Heuristic.- Graph, Geometric Algorithms and Applications.- Computer Graphics, Simulation, and Modelling.- Pattern Recognition and Analysis.- Intelligent Image Analysis.- Neuroimaging Techniques.-Robotics and Machine Vision.- Systems and Software Engineering.- Real-time Systems.- Intelligent Control.- Intelligent E-Learning Systems.- Fuzzy Logic.- Artificial Neural Network.- Evolutionary Computation.- Learning Theory.- Probabilistic Methods.- Multimedia.- Text mining.- Social media systems.- Adaptive hypermedia.- Crowd sourcing.- Personalization.- Security, privacy and social impact.- Applications of Computational Intelligence techniques in Science, Engineering, medicine, finance and education etc.- Mechatronics and Robotics.

Über Autor(innen)

Dr. Gurdeep Singh Hura is an esteemed researcher and professor in the Department of Mathematics and Computer Science, UMES, Princess Anne, Maryland. He completed his B. S. degree in Electronics and Telecommunication Engineering in 1972 from Jabalpur University, India. He completed M.S. degree in Electronics and Tele-Communications Engineering in 1975 and Ph.D. in Computer Engineering in 1985, from Indian Institute of Technology, Roorkee, India. His research area includes Cyber security, GIS and E-portfolio, Distributed Algorithms. Network forensics, Software Engineering, Modeling and Simulation, Wireless Communication Security, Routing and Scheduling Strategies in High-speed Networks, Resource Allocation and Load Balancing . He is an author/co-author of over hundred technical papers, which were published, in International IEEE journals and refereed conferences. He guest edited three special issues on "Petri nets and related graph models: Past, Present and Future", 1991, “The Practice of Performance modeling and reliability analysis”, 1996, and “Internet: The state of the art”, Computer Communication (Elsevier, UK), 1998. He is co-author of a book on “Data and Computer Communications: Networking and internetworking”, CRC Press, 2001 and written six chapters in computer networks, terrestrial networks, dynamicity in social networks, and related areas. He received an external funding of over $5M for his research projects in US. He is a co-author of Best paper award on “Dynamic load balancing in Heterogeneous Computing system with Node Model”, 3rd International Conference in Industry and Engg (CAINE 2018), New Orleans, Oct 8-10, 2018. He is a senior member of IEEE and was elevated to Fellow of Society for Design and Process Science in 2002. He has organized tutorials on Computer Networks, Modeling and analysis, Software engineering, Cyber infrastructure, Cyber security and Accreditation Board of Engineering and Technology (ABET) accreditation in the countries: Singapore, India, Australia, Malaysia, Indonesia, China, and others. He is CAC ABET National and International Program evaluator. He was a consultant to NEC, Inc., Japan on load balancing aspect of its operating system for parallel machine (2000-2004). He received many awards such as Post-Tenure Review award of Excellence in recognition of outstanding achievement of exemplary Research/Scholarship, UMES,2018, Distinguished Scholar Award, School of Graduate Studies, UMES, 2015, Achievement award, World Congress of Computer and Engineering, Las Vegas, July 2016, etc.
Dr. Ashutosh Kumar Singh is an esteemed researcher and academician in the domain of Electrical and Computer engineering. Currently, he is working as a Professor and Head; Department of Computer Applications; National Institute of Technology; Kurukshetra, India. He has more than 18 years research, teaching and administrative experience in various University systems of the India, UK, Australia and Malaysia.Dr. Singh obtained his Ph. D. degree in Electronics Engineering from Indian Institute of Technology-BHU, India; Post Doc from Department of Computer Science, University of Bristol, United Kingdom and Charted Engineer from United Kingdom. He is the recipient of Japan Society for the Promotion of Science (JSPS) fellowship for short term visit in University of Tokyo and other Universities and another university of Japan. His research area includes Verification, Synthesis, Design and Testing of Digital Circuits, Predictive Data Analytics, Data Security in Cloud, Web Technology. He has published more than 240 research papers till now in peer reviewed journals, conferences and news magazines and in these areas. He has also co-authored eight books including “Web Spam Detection Application using Neural Network”, “Digital Systems Fundamentals” and “Computer System Organization & Architecture”. Prof. Singh has worked as principal investigator/investigator for six sponsored research projects andwas a key member on a project from EPSRC (United Kingdom) entitled “Logic Verification and Synthesis in New Framework”. Dr. Singh has visited several countries including Australia, United Kingdom, South Korea, China, Thailand, Indonesia, Japan and USA for collaborative research work, invited talks and to present his research work. He had been entitled for 13 awards such as Merit Awards-2003 (Institute of Engineers), Best Poster Presenter-99 in 86th Indian Science Congress held in Chennai, INDIA, Best Paper Presenter of NSC’99 INDIA and Bintulu Development Authority Best Postgraduate Research Paper Award for 2010, 2011, 2012. He has served as an Editorial Board Member of International Journal of Networks and Mobile Technologies, International journal of Digital Content Technology and its Applications. Also he has shared his experience as a Guest Editor for Pertanika Journal of Science and Technology, Chairman of CUTSE International Conference 2011, Conference Chair of series of International Conference on Smart Computing and Communication (ICSCC), and as editorial board member of UNITAR e-journal. He is involved in reviewing process in different journals and conferences of repute including IEEE transaction of computer, IET, IEEE conference on ITC, ADCOM etc. Dr. Lau Siong Hoe serves as a Professor at the Faculty of Information Science and Technology, Multimedia University, Malaysia. Presently he is the Dean of Faculty of Information Science and Technology. Dr. Lau research interest is in the area of Big Data Visualization, Educational Data Mining & Learning Analytics, Educational Computing & Technology and Human-Computer Interaction.  Over the past few years, he has been doing research focusing on Business Intelligence & Analytics in Education and Human-Computer Interaction Security (HCISec). He has over 100 scientific papers and projects either presented or published. Dr. Lau is a Senior Member of IEEE, USA and certified as a MATRIZ level 3 practitioner. He is regularly sought after and requested lecturer at the majority of major IT/Computer Science schools. He also speaks regularly at workshops/conferences/seminars on Business Intelligence & Analytics with self-service BI solution and how to accelerate innovation and solve problems creatively in a scientific way with Design Thinking and TRIZ approaches for technology, engineering and management fields. Dr. Lau Siong Hoe received his degree in Electrical Engineering with Education (Hons) from University of Technology, Malaysia (UTM). He then completed his study in M. Sc. (IT) from University Putra Malaysia (UPM) and PhD from Multimedia University, Malaysia (MMU).