Handbook of Iot and Big Data

ISBN-13: 9780367780197 / Angielski / Miękka / 2021 / 340 str.

Vijender Kumar Solanki; Vicente García Díaz; J. Paulo Davim

Opis

This multi-contributed handbook will contain chapters covering IoT and Big Data, as well as case studies. The book will play a key role for the reader to understand the current scenario and growing paradigm.

Widoczna okładka, to zdjęcie poglądowe, a rzeczywista szata graficzna może różnić się od prezentowanej. Nie gwarantujemy zgodności okładki z prezentowanym zdjęciem.

Spis treści

1. Big Data Analysis and Compression for Indoor Air Quality

Khushboo Sansanwal, Gulshan Shrivastava, Rohit Anand, and Kavita Sharma

2. Programming Paradigms for IoT Applications: An Exploratory Study

Sivadi Balakrishna and M. Thirumaran

3. Design and Construction of a Light-Detecting and Obstacle-Sensing Robot for IoT—Preliminary Feasibility Study

Mohammad Farhan Ferdous, Prayag Tiwari, and V. B. Surya Prasath

4. XBee and Internet of Robotic Things Based Worker Safety

in Construction Sites

Rajesh Singh, Anita Gehlot, Divyanshu Gupta, Geeta Rana,

Ravindra Sharma, and Shivani Agarwal

5. Contribution of IoT and Big Data in Modern Health Care

Applications in Smart City

Mamata Rath and Vijender Kumar Solanki

6. Programming Language and Big Data Applications

Nikita Bhatt and Amit Ganatra

7. Programming Paradigm and the Internet of Things

Sourav Banerjee, Chinmay Chakraborty, and Sudipta Paul

8. Basics of the Internet of Things (IoT) and Its Future

Neeraj Sharma, Vijender Kumar Solanki, and J. Paulo Davim

9. Learner to Advanced: Big Data Journey

Meenu Gupta and Neha Singla

10. Impact of Big Data in Social Networking through Various Domains

Abhishek Kumar, Srinivas Kumar Palvadi, T. V. M. Sairam,

and Pramod Singh Rathore

11. IoT Recommender System: A Recommender System Based on

Sensors from the Internet of Things for Points of Interest

Cristian González García, Daniel Meana-Llorián, Vicente García Díaz,

and Edward Rolando Núñez-Valdez

12. Internet of Things: A Progressive Case Study

Aditee Mattoo and Somesh Kumar

13. Big Data and Machine Learning Progression with

Industry Adoption

Sandhya Makkar and Vijender Kumar Solanki

14. Internet of Things: Inception and Its Expanding Horizon

Swagat Rameshchandra Barot, Subhanshu Goyal, and Anil Kumar

15. Impact of IoT to Accomplish a Vision of Digital Transformation

of Cities

Shagun Tyagi, Mihir Joshi, Nabila Ansari, and V. K. Singh

O autorze

Vijender Kumar Solanki, Ph.D. is an Associate Professor in Computer Science & Engineering, CMR Institute of Technology (Autonomous), Hyderabad, TS, India. He has more than 12 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 35 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 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 . He is a guest editor with IGI-Global, USA, InderScience & many more publishers. He can be contacted at spesinfo@yahoo.com.

Vicente García Díaz is an Associate Professor in the Computer Science Department at the University of Oviedo. He has a PhD from the University of Oviedo in Computer Science. He has supervised more than 60 academic projects and published more than 60 research papers. He is also part of the editorial and advisory board of several journals, and has been editor of several special issues in books and journals. His research interests include machine learning, natural language processing, model-driven engineering and domain specific languages.

J. Paulo Davim received the Ph.D. degree in Mechanical Engineering in 1997, the M.Sc. degree in Mechanical Engineering (materials and manufacturing processes) in 1991, the Licentiate degree (5 years) in Mechanical Engineering in 1986, from the University of Porto (FEUP), the Aggregate title (Full Habilitation) from the University of Coimbra in 2005 and the D.Sc. from London Metropolitan University in 2013. He is Eur Ing by FEANI-Brussels and Senior Chartered Engineer by the Portuguese Institution of Engineers with a MBA and Specialist title in Engineering and Industrial Management. Currently, he is Professor at the Department of Mechanical Engineering of the University of Aveiro, Portugal. He has more than 30 years of teaching and research experience in Manufacturing, Materials and Mechanical Engineering with special emphasis in Machining & Tribology. He has also interest in Management & Industrial Engineering and Higher Education for Sustainability & Engineering Education. He has received several scientific awards. He is the Editor in Chief of several international journals, Guest Editor of journals, books Editor, book Series Editor and Scientific Advisory for many international journals and conferences. Presently, he is an Editorial Board member of 30 international journals and acts as reviewer for more than 80 prestigious Web of Science journals. In addition, he has also published as editor (and co-editor) more than 100 books and as author (and co-author) more than 10 books, 60 book chapters and 400 articles in journals and conferences (more than 200 articles in journals.