The 2021 International Conference on Smart Technologies and Systems for Internet of Things: STSIoT2021

This book summarizes papers presented at the 2021 International Conference on Smart Technologies and Systems for Internet of Things, covering topics like distributed processing, approximate reasoning, data analytics, and machine learning for CPS networks. It caters to postgraduate students, researchers, and practitioners.

Format: Paperback / softback
Length: 798 pages
Publication date: 03 July 2022
Publisher: Springer Verlag, Singapore

This book is a comprehensive collection of papers presented at the 2021 International Conference on Smart Technologies and Systems for Internet of Things, held in Shanghai, China, from November 26 to 27, 2021. The conference brought together experts and scholars from around the world to explore cutting-edge technologies and solutions for the Internet of Things (IoT).

The book covers a wide range of topics relevant to CPS networks, including distributed processing for sensor data, approximate reasoning and pattern recognition, distributed processing in mobile networking, data analytics for social media sensor data integration, data platforms for efficient integration with CPS networks, virtualized and cloud-oriented resources for data processing, machine learning algorithms for CPS networks, data security and privacy in CPS networks, sensor fusion algorithms, sensor signal processing, data acquisition and preprocessing technology, intelligent computing, data mining methods and algorithms, big data system solutions and tools platform, intelligent control and intelligent management, and operational situation awareness utilizing big data-driven intelligence.

The book is designed to cater to postgraduate students, researchers, and practitioners specializing and working in related areas. It provides a valuable resource for those seeking to stay up-to-date with the latest advancements in IoT and CPS technologies.

The papers presented in this book are written by leading experts in the field and cover a diverse range of topics, including theoretical foundations, practical implementations, and case studies. Each paper is carefully reviewed and edited to ensure high quality and relevance.

The book is organized into five sections, each focusing on a different aspect of CPS networks and IoT technologies. The first section explores distributed processing for sensor data in CPS networks, including techniques such as data aggregation, compression, and transmission. The second section discusses approximate reasoning and pattern recognition for CPS networks, including machine learning algorithms and deep learning techniques. The third section focuses on distributed processing in mobile networking, including 5G networks and edge computing. The fourth section explores data analytics for social media sensor data integration, including sentiment analysis, topic modeling, and user behavior analysis. The fifth section discusses data platforms for efficient integration with CPS networks, including cloud computing platforms and blockchain technologies.

In conclusion, this book is a valuable resource for anyone interested in the field of CPS networks and IoT technologies. It provides a comprehensive overview of the latest research and developments in the area, and is written in a clear and accessible style that is suitable for both academic and professional audiences.

Weight: 1240g
Dimension: 235 x 155 (mm)
ISBN-13: 9789811936319
Edition number: 1st ed. 2023