Internet of Things and Big Data Analytics for Smart Generation

ISBN-13: 9783030042028 / Angielski / Twarda / 2019 / 300 str.

Valentina E. Balas; Vijender Kumar Solanki; Raghvendra Kumar

O autorze

Valentina E. Balas, Ph. D, is currently Full Professor in the Department of Automatics and Applied Software at the Faculty of Engineering, “Aurel Vlaicu” University of Arad, Romania. She holds a Ph.D. in Applied Electronics and Telecommunications from Polytechnic University of Timisoara. Dr. Balas is author of more than 270 research papers in refereed journals and International Conferences. Her research interests are in Intelligent Systems, Fuzzy Control, Soft Computing, Smart Sensors, Information Fusion, Modeling and Simulation. She is the Editor-in Chief to International Journal of Advanced Intelligence Paradigms (IJAIP) and to International Journal of Computational Systems Engineering (IJCSysE), member in Editorial Board mem0ber of several national and international journals and is evaluator expert for national and international projects. She served as General Chair of the International Workshop Soft Computing and Applications in seven editions 2005-2016 held in Romania and Hungary. Dr. Balas participated in many international conferences as Organizer, Session Chair and member in International Program Committee. Now she is working in a national project with EU funding support: BioCell-NanoART = Novel Bio-inspired Cellular Nano-Architectures - For Digital Integrated Circuits, 2M Euro from National Authority for Scientific Research and Innovation. She is a member of EUSFLAT, ACM and a Senior Member IEEE, member in TC – Fuzzy Systems (IEEE CIS), member in TC - Emergent Technologies (IEEE CIS), member in TC – Soft Computing (IEEE SMCS). Dr. Balas was Vice-president (Awards) of IFSA International Fuzzy Systems Association Council (2013-2015) and is a Joint Secretary of the Governing Council of Forum for Interdisciplinary Mathematics (FIM), - A Multidisciplinary Academic Body, India.

Vijender Kumar Solanki, Ph.D., is an Associate Professor in Department of Computer Science & Engineering, CMR Institute of Technology (Autonomous), Hyderabad, TS, India. He has more than 11 years of academic experience in network security, IoT, Big Data, Smart City and IT. Prior to his current role, he was associated with Apeejay Institute of Technology, Greater Noida, UP, KSRCE (Autonomous) Institution, Tamilnadu, India & Institute of Technology & Science, Ghaziabad, UP, India. He has attended an orientation program at UGC-Academic Staff College, University of Kerala, Thiruvananthapuram, Kerala & Refresher course at Indian Institute of Information Technology, Allahabad, UP, India.He has authored or co-authored more than 25 research articles that are published in journals, books and conference proceedings. He has edited or co-edited 4 books in the area of Information Technology. He teaches graduate & post graduate level courses in IT at ITS. He received Ph.D in Computer Science and Engineering from Anna University, Chennai, India in 2017 and ME, MCA from Maharishi Dayanand University, Rohtak, Haryana, India in 2007 and 2004, respectively and a bachelor's degree in Science from JLN Government College, Faridabad Haryana, India in 2001.He is Editor in International Journal of Machine Learning and Networked Collaborative Engineering (IJMLNCE) ISSN 2581-3242, Associate Editor in International Journal of Information Retrieval Research (IJIRR), IGI-GLOBAL, USA,ISSN: 2155-6377 | E-ISSN: 2155-6385 also serving editorial board members with many reputed journals.  He has guest edited many volumes, with  IGI-Global, USA, InderScience & Many more reputed publishers.

Raghvendra Kumar, Ph.D, has been working as Assistant Professor in the Department of Computer Science and Engineering at LNCT College, Jabalpur, MP, and as a Ph.D (Faculty of Engineering and Technology) at Jodhpur National University, Jodhpur, Rajasthan, India. He completed his Master of Technology from KIIT University, Bhubaneswar, Odisha, and his Bachelor of Technology from SRM University, Chennai, India. His research interests include Graph theory, Discrete mathematics, Robotics, Cloud computing and Algorithm. He also works as a reviewer, and an editorial and technical board member for many journals and conferences. He regularly publishes research papers in international journals and conferences and is supervising post graduate students in their research work.

Manju Khari, Ph.D., is Assistant Professor at the Ambedkar Institute of Advanced Communication Technology and Research, under Govt. of NCT Delhi, affiliated with Guru Gobind Singh Indraprastha University), India. She is also Professor In-charge of the IT Services of the Institute and has more than twelve years' experience in Network Planning & Management. She holds a Ph.D. in Computer Science & Engineering from the National Institute of Technology Patna and received her Master's degree in Information Security from Ambedkar Institute technology of Advanced Communication Technology and Research, Delhi, India. Her research interests are in software testing, software quality, software metrics, information security and nature-inspired algorithms. She has published 60 papers in refereed national and International journals and conferences, and has authored 6 book chapters and co-authored two books. She is a life member of various International and national research societies (SDIWC, IAENG, etc.). She is also Guest Editor of the International Journal of Advanced Intelligence Paradigms, reviewer for the International Journal of Forensic Engineering, and Editorial Board Member of the International Journal of Software Engineering and Knowledge Engineering.

Blurb

This book discusses emerging technologies in the field of the Internet of Things and big data, an area that will be scaled in next two decades. 

Written by a team of leading experts, it is the only book focusing on the broad areas of both the Internet of things and big data. The thirteen chapters present real-time experimental methods and theoretical explanations, as well as the implementation of these technologies through various applications.

 Offering a blend of theory and hands-on practices, the book enables graduate, postgraduate and research students who are involved in real-time project scaling techniques to understand projects and their execution. It is also useful for senior computer students, researchers and industry workers who are involved in experimenting with the Internet of Things and big data technologies, helping them to solve the real-time problem. Moreover, the chapters covering cutting-edge technologies help multidisciplinary researchers who are bridging the gap of two different outset real-time problems.