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E-raamat: Data Analytics for Internet of Things Infrastructure

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  • Formaat: EPUB+DRM
  • Sari: Internet of Things
  • Ilmumisaeg: 19-Sep-2023
  • Kirjastus: Springer International Publishing AG
  • Keel: eng
  • ISBN-13: 9783031338083
  • Formaat - EPUB+DRM
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  • Formaat: EPUB+DRM
  • Sari: Internet of Things
  • Ilmumisaeg: 19-Sep-2023
  • Kirjastus: Springer International Publishing AG
  • Keel: eng
  • ISBN-13: 9783031338083

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This book provides techniques for the deployment of semantic technologies in data analysis along with the latest applications across the field such as Internet of Things (IoT). The authors focus on the use of the IoT and big data in business intelligence, data management, Hadoop, machine learning, cloud, smart cities, etc. They discuss how the generation of big data by IoT has ruptured the existing data processing capacity of IoT and recommends the adoption of data analytics to strengthen solutions. The book addresses the challenges in designing the web based IoT system, provides a comparative analysis of different advanced approaches in industries, and contains an analysis of databases to provide expert systems. The book aims to bring together leading academic scientists, researchers, and research scholars to exchange and share their experiences and research results on all aspects of IoT and big data analytics.

Chapter
1. Big Data in Cloud Today A Comprehensive Survey.
Chapter
2.
Cloud of things platform for water meter network.
Chapter
3. Online
newspaper development within the Internet of Things environmental: A Role of
Computer-mediated communication.
Chapter
4. FATS-Fuzzy Authentication to
provide Trust based Security in VANET to Mitigate Black Hole Attack.
Chapter
5. AI-Based Chatbot Agents as Drivers of Purchase Intentions- An
Interdisciplinary Study.
Chapter
6. An Intelligent Model for Identifying the
Fluctuation of the Stock Market and Predict the Investment Policies with
Assured Return.
Chapter
7. Sandwiched Metasurface Antenna for Small
Spacecrafts in IoT Infrastructure.
Chapter
8. Development of Laser Beam
Cutting Edge Technology and IoT Based Race Car Lapse Time Computational
System.
Chapter
9. A Study of Cloud Based Solution for Data Analytics.-
Chapter
10. An Intelligent Model for Optimizing Sparsity Problem towards
Movie Recommendation Paradigm using Machine Learning.
Chapter
11. Techniques
to identify image objects in adverse environmental conditions A Systematic
Literature Review.
Chapter
12. Technology-Enhanced Teaching and Learning
During the COVID-19 Pandemic using IoT Infrastructure.
Chapter
13. The
symbiotic relation of IOT and AI for the applications in various domains:
Trends and future directions.
Chapter
14. Text Summarization for Big Data
Analytics: A  Comprehensive Review of GPT 2 and BERT Approaches.
Chapter
15.
Leveraging Secured E-Voting using Decentralized Blockchain Technology.-
Chapter
16. Multi-Layer Security and Privacy Provision in Internet of Things
Networks: Challeneges and Future Trend.
Chapter
17. A methodology for the
development of soft sensors with Kafka-ML.
Rohit Sharma is currently an Associate Professor in the Department of Electronics and Communication Engineering, SRM Institute of Science and Technology, Delhi NCR Campus Ghaziabad, India. He is an active member of ISTE, IEEE, ICS, IAENG, and IACSIT. He is an editorial board member and reviewer of more than 22 international journals and conferences, including the topmost journal IEEE Access and IEEE Internet of Things Journal. He serves as a Book Editor for 24 different titles.





Gwanggil Jeon received the B.S., M.S., and Ph.D. (summa cum laude) degrees from the Department of Electronics and Computer Engineering, Hanyang University, Seoul, Korea, in 2003, 2005, and 2008, respectively. He was with the Department of Electronics and Computer Engineering, Hanyang University, from 2008 to 2009. He was with the School of Information Technology and Engineering, University of Ottawa, Ottawa, ON, Canada, as a Post-Doctoral Fellow, from 2009 to 2011. He was with the Graduate School of Science and Technology, Niigata University, Niigata, Japan, as an Assistant Professor, from 2011 to 2012. He is currently an Assistant Professor with the Department of Embedded Systems Engineering, Incheon National University, Incheon, Korea. His current research interests include image processing, particularly image compression, motion estimation, demosaicking, and image enhancement, and computational intelligence, such as fuzzy and rough sets theories. Dr. Jeon was a recipient of the IEEE Chester Sall Award in 2007 and the ETRI Journal Paper Award in 2008.







Yan Zhang received the Ph.D. degree in School of Physics and Optoelectronic Engineering with the Xidian University, China. The main research directions are optical communication, quantum communication, nonlinear optics and device reliability.