Big Data Management and Analysis for Cyber Physical Systems
Big Data Management and Analysis for Cyber Physical Systems

Author: Loon Ching Tang

Publisher: Springer Nature

Published: 2022-09-23

Total Pages: 208

ISBN-13: 3031175484

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This book consists of selected and peer-reviewed papers presented at 2022 4th International Conference on Big Data Engineering and Technology (BDET), held during April 22–24, 2022, in Singapore. As IT infrastructure and data management technologies have become critical assets and capabilities for today’s enterprises, this book aims to be part of the effort in contributing to their development. In particular, the BDET conference series aims to provide the much needed forum for researchers and practitioners across the world who are actively engaged in advancing research and raising awareness of the many challenges in the diverse field of big data engineering and technology to share their research outcomes and bounce ideas off their international colleagues. Over the last few years, the conference series has brought together the latest developments of novel theory in big data, algorithm and applications, emerging standards for big data, big data infrastructure, MapReduce and cloud computing, big data visualization, big data curation and management, big data semantics, scientific discovery and intelligence, which collectively form parts of the cyber-physical systems of interest. It is hoped that the book will prove useful to students, researchers, and professionals working in the field of big data engineering and applications in cyber-physical systems.

Machine Learning for Cyber Physical Systems
Machine Learning for Cyber Physical Systems

Author: Jürgen Beyerer

Publisher: Springer

Published: 2018-12-17

Total Pages: 144

ISBN-13: 3662584859

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This Open Access proceedings presents new approaches to Machine Learning for Cyber Physical Systems, experiences and visions. It contains some selected papers from the international Conference ML4CPS – Machine Learning for Cyber Physical Systems, which was held in Karlsruhe, October 23-24, 2018. Cyber Physical Systems are characterized by their ability to adapt and to learn: They analyze their environment and, based on observations, they learn patterns, correlations and predictive models. Typical applications are condition monitoring, predictive maintenance, image processing and diagnosis. Machine Learning is the key technology for these developments.

2021 International Conference on Big Data Analytics for Cyber-Physical System in Smart City
2021 International Conference on Big Data Analytics for Cyber-Physical System in Smart City

Author: Mohammed Atiquzzaman

Publisher: Springer Nature

Published: 2022-01-01

Total Pages: 1157

ISBN-13: 9811674698

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This book gathers a selection of peer-reviewed papers presented at the third Big Data Analytics for Cyber-Physical System in Smart City (BDCPS 2021) conference, held in Shanghai, China, on Nov. 27, 2021. The contributions, prepared by an international team of scientists and engineers, cover the latest advances made in the field of machine learning, and big data analytics methods and approaches for the data-driven co-design of communication, computing, and control for smart cities. Given its scope, it offers a valuable resource for all researchers and professionals interested in big data, smart cities, and cyber-physical systems.

Big Data Analytics for Cyber-Physical Systems
Big Data Analytics for Cyber-Physical Systems

Author: Shiyan Hu

Publisher: Springer Nature

Published: 2020-06-25

Total Pages: 273

ISBN-13: 303043494X

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This book highlights research and survey articles dedicated to big data techniques for cyber-physical system (CPS), which addresses the close interactions and feedback controls between cyber components and physical components. The book first discusses some fundamental big data problems and solutions in large scale distributed CPSs. The book then addresses the design and control challenges in multiple CPS domains such as vehicular system, smart city, smart building, and digital microfluidic biochips. This book also presents the recent advances and trends in the maritime simulation system and the flood defence system.

Data Processing Techniques and Applications for Cyber-Physical Systems (DPTA 2019)
Data Processing Techniques and Applications for Cyber-Physical Systems (DPTA 2019)

Author: Chuanchao Huang

Publisher: Springer Nature

Published: 2020-02-03

Total Pages: 1971

ISBN-13: 9811514682

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This book covers cutting-edge and advanced research on data processing techniques and applications for Cyber-Physical Systems. Gathering the proceedings of the International Conference on Data Processing Techniques and Applications for Cyber-Physical Systems (DPTA 2019), held in Shanghai, China on November 15–16, 2019, it examines a wide range of topics, including: distributed processing for sensor data in CPS networks; approximate reasoning and pattern recognition for CPS networks; data platforms for efficient integration with CPS networks; and data security and privacy in CPS networks. Outlining promising future research directions, the book offers a valuable resource for students, researchers and professionals alike, while also providing a useful reference guide for newcomers to the field.

Big Data Analytics for Cyber-Physical System in Smart City
Big Data Analytics for Cyber-Physical System in Smart City

Author: Mohammed Atiquzzaman

Publisher: Springer Nature

Published: 2020-01-11

Total Pages: 2049

ISBN-13: 9811525684

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This book gathers a selection of peer-reviewed papers presented at the first Big Data Analytics for Cyber-Physical System in Smart City (BDCPS 2019) conference, held in Shengyang, China, on 28–29 December 2019. The contributions, prepared by an international team of scientists and engineers, cover the latest advances made in the field of machine learning, and big data analytics methods and approaches for the data-driven co-design of communication, computing, and control for smart cities. Given its scope, it offers a valuable resource for all researchers and professionals interested in big data, smart cities, and cyber-physical systems.

Handbook of Research of Internet of Things and Cyber-Physical Systems
Handbook of Research of Internet of Things and Cyber-Physical Systems

Author: Amit Kumar Tyagi

Publisher: CRC Press

Published: 2022-06-08

Total Pages: 681

ISBN-13: 1000565343

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This new volume discusses how integrating IoT devices and cyber-physical systems can help society by providing multiple efficient and affordable services to users. It covers the various applications of IoT-based cyber-physical systems, such as satellite imaging in relation to climate change, industrial control systems, e-healthcare applications, security uses, automotive and traffic monitoring and control, urban smart city planning, and more. The authors also outline the methods, tools, and algorithms for IoT-based cyber-physical systems and explore the integration of machine learning, blockchain, and Internet of Things-based cloud applications. With the continuous emerging new technologies and trends in IoT technology and CPS, this volume will be a helpful resource for scientists, researchers, industry professionals, faculty and students, and others who wish to keep abreast of new developments and new challenges for sustainable development in Industry 4.0.

Cyber-Physical Systems and Supporting Technologies for Industrial Automation
Cyber-Physical Systems and Supporting Technologies for Industrial Automation

Author: Thanigaivelan, R.

Publisher: IGI Global

Published: 2023-08-07

Total Pages: 472

ISBN-13: 1668492687

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The exchange of data is the most significant feature of cyber-physical systems (CPS). There are definite advantages and limitations of CPS that must be considered in order to be utilized appropriately across various fields and disciplines. Cyber-Physical Systems and Supporting Technologies for Industrial Automation discusses the latest trends of cyber-physical systems in healthcare, manufacturing processes, energy, and the mobility industry. The book also focuses on advanced subsystems required for the communication of real-time data. Covering key topics such as supporting technologies, Industry 4.0, and manufacturing, this premier reference source is ideal for computer scientists, engineers, industry professionals, researchers, academicians, scholars, practitioners, instructors, and students.

Cyber-Physical Systems
Cyber-Physical Systems

Author: Danda B. Rawat

Publisher: CRC Press

Published: 2015-10-28

Total Pages: 579

ISBN-13: 1482263335

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Although comprehensive knowledge of cyber-physical systems (CPS) is becoming a must for researchers, practitioners, system designers, policy makers, system managers, and administrators, there has been a need for a comprehensive and up-to-date source of research and information on cyber-physical systems. This book fills that need.Cyber-Physical Syst

Intelligent Security Solutions for Cyber-Physical Systems
Intelligent Security Solutions for Cyber-Physical Systems

Author: Vandana Mohindru Sood

Publisher: CRC Press

Published: 2024-04-22

Total Pages: 307

ISBN-13: 104001190X

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A cyber-physical system (CPS) is a computer system in which a mechanism is controlled or monitored by computer-based algorithms and involves transdisciplinary approaches, merging theories of cybernetics, mechatronics, design, and process science. This text mainly concentrates on offering a foundational theoretical underpinning, and a comprehensive and coherent review of intelligent security solutions for cyber-physical systems. Features: • Provides an overview of cyber-physical systems (CPSs) along with security concepts like attack detection methods, cyber-physical systems failures, and risk identification and management. • Showcases cyber-physical systems (CPSs) security solutions, lightweight cryptographic solutions, and CPS forensics, etc. • Emphasizes machine learning methods for behavior-based intrusion detection in cyber-physical systems (CPSs), resilient machine learning for networked CPS, fog computing industrial CPS, etc. • Elaborates classification of network abnormalities in Internet of Things-based cyber-physical systems (CPSs) using deep learning. • Includes case studies and applications in the domain of smart grid systems, industrial control systems, smart manufacturing, social network and gaming, electric power grid and energy systems, etc.