Details
Data Analytics for Internet of Things Infrastructure
Internet of Things
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181,89 € |
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| Verlag: | Springer |
| Format: | |
| Veröffentl.: | 19.09.2023 |
| ISBN/EAN: | 9783031338083 |
| Sprache: | englisch |
Dieses eBook enthält ein Wasserzeichen.
Beschreibungen
<p>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.<b><i></i></b></p>
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.
<p>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.</p>
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.<br><p></p>
Yan Zhang received the Ph.D. degree in School of Physics and Optoelectronic Engineering with the Xi’dian University, China. The main research directions are optical communication, quantum communication, nonlinear optics and device reliability.<p></p>
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.<br><p></p>
Yan Zhang received the Ph.D. degree in School of Physics and Optoelectronic Engineering with the Xi’dian University, China. The main research directions are optical communication, quantum communication, nonlinear optics and device reliability.<p></p>
<p>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.</p><p></p><ul><li>Provides deployment of semantic technologies in dataanalysis along with the latest applications in Internet of Things;</li><li>Familiarizes readers with the data analysis environment so they can apply it in Internet of Things;</li><li>Addresses the challenges in designing web based IoT systems.</li></ul><p></p><p></p>
Provides deployment of semantic technologies in Data Analysis along with the latest applications in Internet of Things Familiarizes readers with the data analysis environment so they can apply it in Internet of Things Addresses the challenges in designing web based IoT systems
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