Big Data Analytics for Cyber Physical Systems

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.

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  • Author : Shiyan Hu
  • Publisher : Springer Nature
  • Pages : 270 pages
  • ISBN : 303043494X
  • Rating : 4/5 from 21 reviews
CLICK HERE TO GET THIS BOOKBig Data Analytics for Cyber Physical Systems

Big Data Analytics for Cyber-Physical Systems

Big Data Analytics for Cyber-Physical Systems
  • Author : Shiyan Hu,Bei Yu
  • Publisher : Springer Nature
  • Release : 25 June 2020
GET THIS BOOKBig Data Analytics for Cyber-Physical Systems

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

Big Data Analytics for Cyber-Physical System in Smart City

Big Data Analytics for Cyber-Physical System in Smart City
  • Author : Mohammed Atiquzzaman,Neil Yen,Zheng Xu
  • Publisher : Springer
  • Release : 18 December 2020
GET THIS BOOKBig Data Analytics for Cyber-Physical System in Smart City

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

Big Data Privacy Preservation for Cyber-Physical Systems

Big Data Privacy Preservation for Cyber-Physical Systems
  • Author : Miao Pan,Jingyi Wang,Sai Mounika Errapotu,Xinyue Zhang,Jiahao Ding,Zhu Han
  • Publisher : Springer
  • Release : 25 March 2019
GET THIS BOOKBig Data Privacy Preservation for Cyber-Physical Systems

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

Big Data Analytics for Cyber-Physical System in Smart City

Big Data Analytics for Cyber-Physical System in Smart City
  • Author : Mohammed Atiquzzaman,Neil Yen,Zheng Xu
  • Publisher : Springer Nature
  • Release : 11 January 2020
GET THIS BOOKBig Data Analytics for Cyber-Physical System in Smart City

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

Big Data Analytics for Cyber-Physical Systems

Big Data Analytics for Cyber-Physical Systems
  • Author : Shiyan Hu,Bei Yu
  • Publisher : Springer
  • Release : 26 June 2021
GET THIS BOOKBig Data Analytics for Cyber-Physical Systems

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

Advances in Through-life Engineering Services

Advances in Through-life Engineering Services
  • Author : Louis Redding,Rajkumar Roy,Andy Shaw
  • Publisher : Springer
  • Release : 22 April 2017
GET THIS BOOKAdvances in Through-life Engineering Services

This edited book offers further advances, new perspectives, and developments from world leaders in the field of through-life engineering services (TES). It builds up on the earlier book by the same authors entitled: “Through-life Engineering Services: Motivation, Theory and Practice.” This compendium introduces and discusses further, the developments in workshop-based and 'in situ' maintenance and support of high-value engineering products, as well as the application of drone technology for autonomous and self-healing product support. The links between ‘integrated planning’ and

Big Data Analytics for Cyber-Physical Systems

Big Data Analytics for Cyber-Physical Systems
  • Author : Guido Dartmann,Houbing Song,Anke Schmeink
  • Publisher : Elsevier
  • Release : 15 July 2019
GET THIS BOOKBig Data Analytics for Cyber-Physical Systems

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

Handbook of Big Data Privacy

Handbook of Big Data Privacy
  • Author : Kim-Kwang Raymond Choo,Ali Dehghantanha
  • Publisher : Springer Nature
  • Release : 18 March 2020
GET THIS BOOKHandbook of Big Data Privacy

This handbook provides comprehensive knowledge and includes an overview of the current state-of-the-art of Big Data Privacy, with chapters written by international world leaders from academia and industry working in this field. The first part of this book offers a review of security challenges in critical infrastructure and offers methods that utilize acritical intelligence (AI) techniques to overcome those issues. It then focuses on big data security and privacy issues in relation to developments in the Industry 4.0. Internet of Things (

Cyber-Physical Systems

Cyber-Physical Systems
  • Author : Houbing Song,Danda B Rawat,Sabina Jeschke,Christian Brecher
  • Publisher : Morgan Kaufmann
  • Release : 27 August 2016
GET THIS BOOKCyber-Physical Systems

Cyber-Physical Systems: Foundations, Principles and Applications explores the core system science perspective needed to design and build complex cyber-physical systems. Using Systems Science’s underlying theories, such as probability theory, decision theory, game theory, organizational sociology, behavioral economics, and cognitive psychology, the book addresses foundational issues central across CPS applications, including System Design -- How to design CPS to be safe, secure, and resilient in rapidly evolving environments, System Verification -- How to develop effective metrics and methods to verify

Big Data Analytics for Cyber-Physical System in Smart City

Big Data Analytics for Cyber-Physical System in Smart City
  • Author : Mohammed Atiquzzaman,Neil Yen,Zheng Xu
  • Publisher : Springer
  • Release : 26 January 2021
GET THIS BOOKBig Data Analytics for Cyber-Physical System in Smart City

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

Cyber-Physical Systems

Cyber-Physical Systems
  • Author : Gaddadevara Matt Siddesh,Ganesh Chandra Deka,Krishnarajanagar GopalaIyengar Srinivasa,Lalit Mohan Patnaik
  • Publisher : CRC Press
  • Release : 01 December 2015
GET THIS BOOKCyber-Physical Systems

In cyber-physical systems (CPS), sensors and embedded systems are networked together to monitor and manage a range of physical processes through a continuous feedback system. This allows distributed computing using wireless devices. Cyber-Physical Systems—A Computational Perspective examines various developments of CPS that are impacting our daily lives and sets the stage for future directions in this domain. The book is divided into six sections. The first section covers the physical infrastructure required for CPS, including sensor networks and embedded

Industrial Internet of Things and Cyber-Physical Systems: Transforming the Conventional to Digital

Industrial Internet of Things and Cyber-Physical Systems: Transforming the Conventional to Digital
  • Author : Kumar, Pardeep,Ponnusamy, Vasaki,Jain, Vishal
  • Publisher : IGI Global
  • Release : 22 May 2020
GET THIS BOOKIndustrial Internet of Things and Cyber-Physical Systems: Transforming the Conventional to Digital

With the help of artificial intelligence, machine learning, and big data analytics, the internet of things (IoT) is creating partnerships within industry where machines, processes, and humans communicate with one another. As this radically changes traditional industrial operations, this results in the rapid design, cheap manufacture, and effective customization of products. Answering the growing demand of customers and their preferences has become a challenge for such partnerships. Industrial Internet of Things and Cyber-Physical Systems: Transforming the Conventional to Digital is

Cybersecurity and Privacy in Cyber Physical Systems

Cybersecurity and Privacy in Cyber Physical Systems
  • Author : Yassine Maleh,Mohammad Shojafar,Ashraf Darwish,Abdelkrim Haqiq
  • Publisher : CRC Press
  • Release : 01 May 2019
GET THIS BOOKCybersecurity and Privacy in Cyber Physical Systems

Cybersecurity and Privacy in Cyber-Physical Systems collects and reports on recent high-quality research that addresses different problems related to cybersecurity and privacy in cyber-physical systems (CPSs). It Presents high-quality contributions addressing related theoretical and practical aspects Improves the reader’s awareness of cybersecurity and privacy in CPSs Analyzes and presents the state of the art of CPSs, cybersecurity, and related technologies and methodologies Highlights and discusses recent developments and emerging trends in cybersecurity and privacy in CPSs Proposes new models,

Machine Learning for Cyber Physical Systems

Machine Learning for Cyber Physical Systems
  • Author : Jürgen Beyerer,Alexander Maier,Oliver Niggemann
  • Publisher : Springer
  • Release : 09 April 2019
GET THIS BOOKMachine Learning for Cyber Physical Systems

The work 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 Lemgo, October 25th-26th, 2017. 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