Big Data Analytics For Cyber Physical Systems

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Big Data Analytics for Cyber-Physical Systems

Shiyan Hu,Bei Yu
Big Data Analytics for Cyber Physical Systems Book PDF

Author : Shiyan Hu,Bei Yu
Publisher : Springer Nature
Page : 273 pages
File Size : 52,7 Mb
Release : 2020-06-25
Category : Computers
ISBN : 9783030434946

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Big Data Analytics for Cyber-Physical Systems by Shiyan Hu,Bei Yu Pdf

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.

Big Data Analytics for Cyber-Physical Systems

Guido Dartmann,Houbing Song,Anke Schmeink
Big Data Analytics for Cyber Physical Systems Book PDF

Author : Guido Dartmann,Houbing Song,Anke Schmeink
Publisher : Elsevier
Page : 396 pages
File Size : 44,5 Mb
Release : 2019-07-15
Category : Law
ISBN : 9780128166376

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Big Data Analytics for Cyber-Physical Systems by Guido Dartmann,Houbing Song,Anke Schmeink Pdf

Cyber-physical systems (CPS) and the Internet of Things (IoT) are rapidly developing technologies that are transforming our society. The disruptive transformation of the economy and society is expected due to the data collected by these systems, rather than the technological aspects of such as networks, embedded systems, and cloud technology. However, to create value out of the data, it must be transformed into information and therefore, expertise in data analytics and machine learning is the key component of future smart systems in cities and other applications. Big Data Analytics in Cyber-Physical Systems examines sensor signal processing, IoT gateways, optimization and decision making, intelligent mobility, and implementation of machine learning algorithms in embedded systems. This book focuses on the interaction between IoT technology and the mathematical tools to evaluate the extracted data of those systems. Each chapter provides different tools and applications in order to present a broad list of data analytics and machine learning tools in multiple IoT applications. Additionally, this volume addresses the education transfer needed to incorporate these technologies into our society by examining new platforms for IoT in schools, new courses and concepts for universities and adult education on IoT and data science. Fills the gap between IoT, CPS, and mathematical modeling Numerous use cases that discuss how concepts are applied in different domains and applications Provides "best practices," "real developments", and "winning stories" to complement technical information Uniquely covers contents within the context of mathematical foundations of signal processing and machine learning in CPS and IoT

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

Mohammed Atiquzzaman,Neil Yen,Zheng Xu
2021 International Conference on Big Data Analytics for Cyber Physical System in Smart City Book PDF

Author : Mohammed Atiquzzaman,Neil Yen,Zheng Xu
Publisher : Springer Nature
Page : 1314 pages
File Size : 54,6 Mb
Release : 2021-12-09
Category : Technology & Engineering
ISBN : 9789811674662

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2021 International Conference on Big Data Analytics for Cyber-Physical System in Smart City by Mohammed Atiquzzaman,Neil Yen,Zheng Xu Pdf

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 in Intelligent IoT and Cyber-Physical Systems

Nonita Sharma,Monika Mangla,Subhash K. Shinde
Big Data Analytics in Intelligent IoT and Cyber Physical Systems Book PDF

Author : Nonita Sharma,Monika Mangla,Subhash K. Shinde
Publisher : Springer Nature
Page : 312 pages
File Size : 49,7 Mb
Release : 2023-11-04
Category : Technology & Engineering
ISBN : 9789819945184

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Big Data Analytics in Intelligent IoT and Cyber-Physical Systems by Nonita Sharma,Monika Mangla,Subhash K. Shinde Pdf

This book explores the complete system perspective, underlying theories, modeling, and applications of cyber-physical systems (CPS). Considering the interest of researchers and academicians, the editors present this book in a multidimensional perspective covering CPS at breadth. It covers topics ranging from discussion of rudiments of the system and efficient management to recent research challenges and issues. This book is divided into four sections discussing the fundamentals of CPS, engineering-based solutions, its applications, and advanced research challenges. The contents highlight the concept map of CPS including the latest technological interventions, issues, challenges, and the integration of CPS with IoT and big data analytics, modeling solutions, distributed management, efficient energy management, cyber-physical systems research, and education with applications in industrial, agriculture, and medical domains. This book is of immense interest to those in academia and industry.

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

Mohammed Atiquzzaman,Neil Yen,Zheng Xu
2021 International Conference on Big Data Analytics for Cyber Physical System in Smart City Book PDF

Author : Mohammed Atiquzzaman,Neil Yen,Zheng Xu
Publisher : Springer Nature
Page : 1157 pages
File Size : 43,7 Mb
Release : 2022-01-01
Category : Technology & Engineering
ISBN : 9789811674693

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2021 International Conference on Big Data Analytics for Cyber-Physical System in Smart City by Mohammed Atiquzzaman,Neil Yen,Zheng Xu Pdf

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.

Proceedings of the 4th International Conference on Big Data Analytics for Cyber-Physical System in Smart City - Volume 1

Mohammed Atiquzzaman,Neil Yen,Zheng Xu
Proceedings of the 4th International Conference on Big Data Analytics for Cyber Physical System in Smart City Volume 1 Book PDF

Author : Mohammed Atiquzzaman,Neil Yen,Zheng Xu
Publisher : Springer Nature
Page : 823 pages
File Size : 43,5 Mb
Release : 2023-07-04
Category : Technology & Engineering
ISBN : 9789819908806

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Proceedings of the 4th International Conference on Big Data Analytics for Cyber-Physical System in Smart City - Volume 1 by Mohammed Atiquzzaman,Neil Yen,Zheng Xu Pdf

This book gathers a selection of peer-reviewed papers presented at the 4th Big Data Analytics for Cyber-Physical System in Smart City (BDCPS 2022) conference, held in Bangkok, Thailand, on December 16–17. The contributions, prepared by an international team of scientists and engineers, cover the latest advances and challenges made in the field of 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 System in Smart City

Mohammed Atiquzzaman,Neil Yen,Zheng Xu
Big Data Analytics for Cyber Physical System in Smart City Book PDF

Author : Mohammed Atiquzzaman,Neil Yen,Zheng Xu
Publisher : Springer Nature
Page : 2049 pages
File Size : 48,7 Mb
Release : 2020-01-11
Category : Technology & Engineering
ISBN : 9789811525681

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Big Data Analytics for Cyber-Physical System in Smart City by Mohammed Atiquzzaman,Neil Yen,Zheng Xu Pdf

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.

Proceedings of the 4th International Conference on Big Data Analytics for Cyber-Physical System in Smart City - Volume 2

Mohammed Atiquzzaman,Neil Yuwen Yen,Zheng Xu
Proceedings of the 4th International Conference on Big Data Analytics for Cyber Physical System in Smart City Volume 2 Book PDF

Author : Mohammed Atiquzzaman,Neil Yuwen Yen,Zheng Xu
Publisher : Springer Nature
Page : 749 pages
File Size : 45,8 Mb
Release : 2023-03-31
Category : Technology & Engineering
ISBN : 9789819911578

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Proceedings of the 4th International Conference on Big Data Analytics for Cyber-Physical System in Smart City - Volume 2 by Mohammed Atiquzzaman,Neil Yuwen Yen,Zheng Xu Pdf

This book gathers a selection of peer-reviewed papers presented at the 4th Big Data Analytics for Cyber-Physical System in Smart City (BDCPS 2022) conference held in Bangkok, Thailand, on December 16–17. The contributions, prepared by an international team of scientists and engineers, cover the latest advances and challenges made in the field of 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

Guido Dartmann,Houbing Song,Anke Schmeink
Big Data Analytics for Cyber Physical Systems Book PDF

Author : Guido Dartmann,Houbing Song,Anke Schmeink
Publisher : Elsevier
Page : 396 pages
File Size : 43,5 Mb
Release : 2019-07-15
Category : Law
ISBN : 9780128166468

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Big Data Analytics for Cyber-Physical Systems by Guido Dartmann,Houbing Song,Anke Schmeink Pdf

Big Data Analytics in Cyber-Physical Systems: Machine Learning for the Internet of Things examines sensor signal processing, IoT gateways, optimization and decision-making, intelligent mobility, and implementation of machine learning algorithms in embedded systems. This book focuses on the interaction between IoT technology and the mathematical tools used to evaluate the extracted data of those systems. Each chapter provides the reader with a broad list of data analytics and machine learning methods for multiple IoT applications. Additionally, this volume addresses the educational transfer needed to incorporate these technologies into our society by examining new platforms for IoT in schools, new courses and concepts for universities and adult education on IoT and data science. . Bridges the gap between IoT, CPS, and mathematical modelling. Features numerous use cases that discuss how concepts are applied in different domains and applications. Provides "best practices", "winning stories" and "real-world examples" to complement innovation. Includes highlights of mathematical foundations of signal processing and machine learning in CPS and IoT.

Big Data Privacy Preservation for Cyber-Physical Systems

Miao Pan,Jingyi Wang,Sai Mounika Errapotu,Xinyue Zhang,Jiahao Ding,Zhu Han
Big Data Privacy Preservation for Cyber Physical Systems Book PDF

Author : Miao Pan,Jingyi Wang,Sai Mounika Errapotu,Xinyue Zhang,Jiahao Ding,Zhu Han
Publisher : Springer
Page : 73 pages
File Size : 52,9 Mb
Release : 2019-03-25
Category : Technology & Engineering
ISBN : 9783030133702

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Big Data Privacy Preservation for Cyber-Physical Systems by Miao Pan,Jingyi Wang,Sai Mounika Errapotu,Xinyue Zhang,Jiahao Ding,Zhu Han Pdf

This SpringerBrief mainly focuses on effective big data analytics for CPS, and addresses the privacy issues that arise on various CPS applications. The authors develop a series of privacy preserving data analytic and processing methodologies through data driven optimization based on applied cryptographic techniques and differential privacy in this brief. This brief also focuses on effectively integrating the data analysis and data privacy preservation techniques to provide the most desirable solutions for the state-of-the-art CPS with various application-specific requirements. Cyber-physical systems (CPS) are the “next generation of engineered systems,” that integrate computation and networking capabilities to monitor and control entities in the physical world. Multiple domains of CPS typically collect huge amounts of data and rely on it for decision making, where the data may include individual or sensitive information, for e.g., smart metering, intelligent transportation, healthcare, sensor/data aggregation, crowd sensing etc. This brief assists users working in these areas and contributes to the literature by addressing data privacy concerns during collection, computation or big data analysis in these large scale systems. Data breaches result in undesirable loss of privacy for the participants and for the entire system, therefore identifying the vulnerabilities and developing tools to mitigate such concerns is crucial to build high confidence CPS. This Springerbrief targets professors, professionals and research scientists working in Wireless Communications, Networking, Cyber-Physical Systems and Data Science. Undergraduate and graduate-level students interested in Privacy Preservation of state-of-the-art Wireless Networks and Cyber-Physical Systems will use this Springerbrief as a study guide.

Big Data Analytics for Cyber-Physical System in Smart City

Mohammed Atiquzzaman,Neil Yen,Zheng Xu
Big Data Analytics for Cyber Physical System in Smart City Book PDF

Author : Mohammed Atiquzzaman,Neil Yen,Zheng Xu
Publisher : Springer Nature
Page : 1868 pages
File Size : 43,8 Mb
Release : 2020-12-17
Category : Technology & Engineering
ISBN : 9789813345720

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Big Data Analytics for Cyber-Physical System in Smart City by Mohammed Atiquzzaman,Neil Yen,Zheng Xu Pdf

This book gathers a selection of peer-reviewed papers presented at the second Big Data Analytics for Cyber-Physical System in Smart City (BDCPS 2020) conference, held in Shanghai, China, on 28–29 December 2020. 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.

Cyber-Physical Systems

Uzzal Sharma,Parma Nand,Jyotir Moy Chatterjee,Vishal Jain,Noor Zaman Jhanjhi,R. Sujatha
Cyber Physical Systems Book PDF

Author : Uzzal Sharma,Parma Nand,Jyotir Moy Chatterjee,Vishal Jain,Noor Zaman Jhanjhi,R. Sujatha
Publisher : John Wiley & Sons
Page : 340 pages
File Size : 46,5 Mb
Release : 2022-07-06
Category : Computers
ISBN : 9781119836193

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Cyber-Physical Systems by Uzzal Sharma,Parma Nand,Jyotir Moy Chatterjee,Vishal Jain,Noor Zaman Jhanjhi,R. Sujatha Pdf

CYBER-PHYSICAL SYSTEMS The 13 chapters in this book cover the various aspects associated with Cyber-Physical Systems (CPS) such as algorithms, application areas, and the improvement of existing technology such as machine learning, big data and robotics. Cyber-Physical Systems (CPS) is the interconnection of the virtual or cyber and the physical system. It is realized by combining three well-known technologies, namely “Embedded Systems,” “Sensors and Actuators,” and “Network and Communication Systems.” These technologies combine to form a system known as CPS. In CPS, the physical process and information processing are so tightly connected that it is hard to distinguish the individual contribution of each process from the output. Some exciting innovations such as autonomous cars, quadcopter, spaceships, sophisticated medical devices fall under CPS. The scope of CPS is tremendous. In CPS, one sees the applications of various emerging technologies such as artificial intelligence (AI), Internet of Things (IoT), machine learning (ML), deep learning (DL), big data (BD), robotics, quantum technology, etc. In almost all sectors, whether it is education, health, human resource development, skill improvement, startup strategy, etc., one sees an enhancement in the quality of output because of the emergence of CPS into the field. Audience Researchers in Information technology, artificial intelligence, robotics, electronics and electrical engineering.

Machine Intelligence and Big Data Analytics for Cybersecurity Applications

Yassine Maleh,Mohammad Shojafar,Mamoun Alazab,Youssef Baddi
Machine Intelligence and Big Data Analytics for Cybersecurity Applications Book PDF

Author : Yassine Maleh,Mohammad Shojafar,Mamoun Alazab,Youssef Baddi
Publisher : Springer Nature
Page : 539 pages
File Size : 49,9 Mb
Release : 2020-12-14
Category : Computers
ISBN : 9783030570248

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Machine Intelligence and Big Data Analytics for Cybersecurity Applications by Yassine Maleh,Mohammad Shojafar,Mamoun Alazab,Youssef Baddi Pdf

This book presents the latest advances in machine intelligence and big data analytics to improve early warning of cyber-attacks, for cybersecurity intrusion detection and monitoring, and malware analysis. Cyber-attacks have posed real and wide-ranging threats for the information society. Detecting cyber-attacks becomes a challenge, not only because of the sophistication of attacks but also because of the large scale and complex nature of today’s IT infrastructures. It discusses novel trends and achievements in machine intelligence and their role in the development of secure systems and identifies open and future research issues related to the application of machine intelligence in the cybersecurity field. Bridging an important gap between machine intelligence, big data, and cybersecurity communities, it aspires to provide a relevant reference for students, researchers, engineers, and professionals working in this area or those interested in grasping its diverse facets and exploring the latest advances on machine intelligence and big data analytics for cybersecurity applications.

Big Data Management and Analysis for Cyber Physical Systems

Loon Ching Tang,Hongzhi Wang
Big Data Management and Analysis for Cyber Physical Systems Book PDF

Author : Loon Ching Tang,Hongzhi Wang
Publisher : Springer Nature
Page : 208 pages
File Size : 40,5 Mb
Release : 2022-09-23
Category : Computers
ISBN : 9783031175480

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Big Data Management and Analysis for Cyber Physical Systems by Loon Ching Tang,Hongzhi Wang Pdf

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.

Big Data Privacy Preservation for Cyber-physical Systems

Miao Pan
Big Data Privacy Preservation for Cyber physical Systems Book PDF

Author : Miao Pan
Publisher : Unknown
Page : 128 pages
File Size : 43,9 Mb
Release : 2019
Category : Big data
ISBN : 3030133710

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Big Data Privacy Preservation for Cyber-physical Systems by Miao Pan Pdf

This SpringerBrief mainly focuses on effective big data analytics for CPS, and addresses the privacy issues that arise on various CPS applications. The authors develop a series of privacy preserving data analytic and processing methodologies through data driven optimization based on applied cryptographic techniques and differential privacy in this brief. This brief also focuses on effectively integrating the data analysis and data privacy preservation techniques to provide the most desirable solutions for the state-of-the-art CPS with various application-specific requirements. Cyber-physical systems (CPS) are the "next generation of engineered systems," that integrate computation and networking capabilities to monitor and control entities in the physical world. Multiple domains of CPS typically collect huge amounts of data and rely on it for decision making, where the data may include individual or sensitive information, for e.g., smart metering, intelligent transportation, healthcare, sensor/data aggregation, crowd sensing etc. This brief assists users working in these areas and contributes to the literature by addressing data privacy concerns during collection, computation or big data analysis in these large scale systems. Data breaches result in undesirable loss of privacy for the participants and for the entire system, therefore identifying the vulnerabilities and developing tools to mitigate such concerns is crucial to build high confidence CPS. This Springerbrief targets professors, professionals and research scientists working in Wireless Communications, Networking, Cyber-Physical Systems and Data Science. Undergraduate and graduate-level students interested in Privacy Preservation of state-of-the-art Wireless Networks and Cyber-Physical Systems will use this Springerbrief as a study guide. .