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thampi sabu m. (curatore); gelenbe erol (curatore); atiquzzaman mohammed (curatore); chaudhary vipin (curatore); li kuan-ching (curatore) - advances in computing and network communications

Advances in Computing and Network Communications Proceedings of CoCoNet 2020, Volume 1

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Dettagli

Genere:Libro
Lingua: Inglese
Editore:

Springer

Pubblicazione: 04/2021
Edizione: 1st ed. 2021





Trama

This book constitutes the thoroughly refereed post-conference proceedings of the 4th International Conference on Computing and Network Communications (CoCoNet'20), October 14–17, 2020, Chennai, India. The papers presented were carefully reviewed and selected from several initial submissions. The papers are organized in topical sections on Signal, Image and Speech Processing, Wireless and Mobile Communication, Internet of Things, Cloud and Edge Computing, Distributed Systems, Machine Intelligence, Data Analytics, Cybersecurity, Artificial Intelligence and Cognitive Computing and Circuits and Systems. The book is directed to the researchers and scientists engaged in various fields of computing and network communication domains.





Sommario

Part 1: Communications, Control and Signal Processing.- Chapter 1. Cost Effective Device for Autonomous Monitoring of the Vitals for COVID-19 Asymptomatic Patients in Home Isolation Treatment.- Chapter 2. Predictive Modeling and Control of Clamp Load Loss in Bolted Joints Based on Fractional Calculus.- Chapter 3. Resource Allocation for 5G RAN - A Survey.- Chapter 4. Wearable PIFA for Off-Body Communication: Miniaturization Design and Human Exposure Assessment.- Chapter 5. Generalized symbolic dynamics approach for characterization of time series.- Chapter 6. Smart Mirror Based Personal Healthcare System.- Chapter 7. On-off Thinning in Linear Antenna Arrays using Binary Dragonfly Algorithm.- Chapter 8. Reduction in Average Distance Cost by optimizing position of ONUs in FiWi access network using Grey Wolf optimization algorithm.- Chapter 9. Performance Analysis of individual Partial Relay selection protocol using Decode and Forward Method for Underlay EH-CRN.- Chapter 10. Buildinga cloud integrated WOBAN with optimal coverage and deployment cost.- Chapter 11. VR Classroom for Interactive and Immersive Learning with Assessment of Students Comprehension.- Chapter 12. Localization of Self-Driving Car Using Particle Filter.- Chapter 13. Convex Combination of Maximum Versoria Criterion based Adaptive Filtering Algorithm for Impulsive Environment.- Chapter 14. Verifying Mixed Signal ASIC-KLEEL2020 using SVM.- Chapter 15. Design of high speed turbo product code decode.




Autore

Sabu M. Thampi is Professor at the Indian Institute of Information Technology and Management-Kerala (IIITM-K), Technopark Campus, Trivandrum, India. His current research interests include cognitive computing, Internet of Things (IoT), authorship analysis, trust management, biometrics, social networks, nature-inspired computing and video surveillance. He has published papers in book chapters, journals and conference proceedings. He has authored and edited a few books. Sabu has served as Guest Editor for special issues in few journals and a program committee member for many international conferences and workshops. He has co-chaired several international workshops and conferences. He has initiated and is also involved in the organization of several annual conferences/symposiums. Sabu is currently serving as Editor for Elsevier Journal of Network and Computer Applications (JNCA), Connection Science, Taylor Francis, Associate Editor for IEEE Accessand International Journal of Embedded Systems, Inderscience, UK, and Reviewer for several reputed international journals. Sabu is a senior member of IEEE and ACM. He is Founding Chair of ACM Trivandrum Professional Chapter. 

Erol Gelenbe is a Turkish-French computer scientist, electronic engineer and applied mathematician who is professor in Computer-Communications at Imperial College. Known for pioneering the field of modelling and performance evaluation of computer systems and networks throughout Europe, he invented the random neural network and the eponymous G-networks. His many awards include the ACM SIGMETRICS Life-Time Achievement Award, and the in Memoriam Dennis Gabor Award of the Hungarian Academy of Sciences. Working as a foreigner everywhere, Gelenbe was born in Istanbul in 1945, to Yusuf Ali Gelenbe, a descendant of the 18th-century Ottoman mathematician Gelenbevi Ismail Efendi, and to Maria Sacchet Gelenbe from Cesiomaggiore, Belluno, Italy. After achildhood spent in Istanbul and Alexandria (Egypt), He graduated from Ankara Koleji in 1962 and the Middle East Technical University in 1966, winning the K.K. Clarke Research Award for work on "partial flux switching magnetic memory systems". Awarded a Fulbright Fellowship, he continued his studies at Polytechnic University, where he completed a master's degree and a PhD thesis on "Stochastic automata with structural restrictions", under the supervision of Edward J. Smith. After graduation he joined the University of Michigan as an assistant professor. In 1972, and then on leave from Michigan, he founded the Modeling and Performance Evaluation of Computer Systems research group at INRIA (France), and was a visiting lecturer at the University of Paris 13 University. In 1971 he was elected to the second chair in Computer Science at the University of Liège, where he joined Professor Danny Ribbens in 1973, while remaining a research director at INRIA. In 1973, he was awarded a Doctorat d'État ès Sciences Mathématiques from the Paris VI University with a thesis on "Modèlisation des systèmes informatiques", under Jacques-Louis Lions. He remained a close friend of Professor Ribbens and of the University of Liège, and in 1979, he moved to the Paris-Sud 11 University, where he co-founded the Laboratoire de Recherche en Informatique and its PhD Program, before joining Paris Descartes University in 1986 to found the Ecole des Hautes Etudes en Informatique.Gelenbe became New Jersey State Endowed Professor at the New Jersey Institute of Technology from 1991 to 1993, and from 1993 and 1998 he was chaired professor and head of Electrical and Computer Engineering at Duke University. From 1998 to 2003 at the University of Central Florida, he founded the Department (School) of Electrical Engineering and Computer Science and developed the Harris Corporation Engineering Centre. In 2003, Gelenbe joined Imperial College London as Dennis Gabor Professor in Computer and Communication Networks and Head of Intelligent Systems and Networks. In 2016 he joined Institute of Theoretical and Applied Informatics, Polish Academy of Sciences, Gliwice Poland.

Gelenbe has contributed pioneering research concerning the performance of multiprogramming computer systems, virtual memory management, data base reliability optimisation, distributed systems and network protocols. He formed, led, and trained the team that designed the commercial QNAP Computer and Network Performance Modeling Tool. He introduced the Flexsim Object Oriented approach for the simulation in manufacturing systems. He carried out some of the first work on adaptive control of computer systems, and published seminal papers on the performance optimisation of computer network protocols and on the use of diffusion approximations for network performance. He developed new product form queueing networks with negative customers and triggers known as G-networks. He also introduced a new spiked stochastic neural network











Altre Informazioni

ISBN:

9789813369764

Condizione: Nuovo
Collana: Lecture Notes in Electrical Engineering
Dimensioni: 235 x 155 mm
Formato: Copertina rigida
Illustration Notes:XX, 717 p. 359 illus., 265 illus. in color.
Pagine Arabe: 717
Pagine Romane: xx


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