Handbook of IoT and Big Data: Science, Technology, and Management
Editat de Vijender Kumar Solanki, Vicente García Díaz, J. Paulo Davimen Limba Engleză Paperback – 31 mar 2021
Features
- Focuses on the latest workings of IoT and Big Data
- Discusses the emerging role of technologies and the fast-growing market of Big Data
- Covers the movement toward automation with hardware, software, and sensors, and trying to save on energy resources
- Offers the latest technology on IoT
- Presents the future horizons on Big Data
| Toate formatele și edițiile | Preț | Express |
|---|---|---|
| Paperback (1) | 470.17 lei 6-8 săpt. | |
| CRC Press – 31 mar 2021 | 470.17 lei 6-8 săpt. | |
| Hardback (1) | 1279.02 lei 6-8 săpt. | |
| CRC Press – 5 mar 2019 | 1279.02 lei 6-8 săpt. |
Din seria Science, Technology, and Management
-
Preț: 422.67 lei - 9%
Preț: 606.32 lei - 20%
Preț: 359.25 lei - 9%
Preț: 834.51 lei - 13%
Preț: 311.96 lei -
Preț: 434.35 lei - 20%
Preț: 358.74 lei - 20%
Preț: 357.79 lei - 31%
Preț: 265.38 lei -
Preț: 356.71 lei - 18%
Preț: 880.88 lei - 15%
Preț: 556.82 lei - 22%
Preț: 331.09 lei - 18%
Preț: 1089.62 lei - 13%
Preț: 311.01 lei - 20%
Preț: 357.15 lei
Preț: 470.17 lei
Nou
Puncte Express: 705
Preț estimativ în valută:
89.98€ • 93.47$ • 74.74£
89.98€ • 93.47$ • 74.74£
Carte tipărită la comandă
Livrare economică 01-15 februarie 25
Preluare comenzi: 021 569.72.76
Specificații
ISBN-13: 9780367780197
ISBN-10: 0367780194
Pagini: 356
Dimensiuni: 156 x 234 x 18 mm
Greutate: 0.7 kg
Ediția:1
Editura: CRC Press
Colecția CRC Press
Seria Science, Technology, and Management
ISBN-10: 0367780194
Pagini: 356
Dimensiuni: 156 x 234 x 18 mm
Greutate: 0.7 kg
Ediția:1
Editura: CRC Press
Colecția CRC Press
Seria Science, Technology, and Management
Cuprins
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
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
Notă biografică
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.
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.
Descriere
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.