Big Data Analytics for Cyber Physical Systems

Produk Detail:
  • Author : Shiyan Hu
  • Publisher : Springer Nature
  • Pages : 270 pages
  • ISBN : 303043494X
  • Rating : /5 from reviews
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Download or Read online Big Data Analytics for Cyber Physical Systems full in PDF, ePub and kindle. this book written by Shiyan Hu and published by Springer Nature which was released on 25 June 2020 with total page 270 pages. We cannot guarantee that Big Data Analytics for Cyber Physical Systems book is available in the library, click Get Book button and read full online book in your kindle, tablet, IPAD, PC or mobile whenever and wherever You Like. 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

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

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 BOOK Big 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 BOOK Big 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 Systems

Big Data Analytics for Cyber Physical Systems
  • Author : Shiyan Hu,Bei Yu
  • Publisher : Springer
  • Release : 30 July 2020
GET THIS BOOK 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

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 BOOK Big 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 : Guido Dartmann,Houbing Song,Anke Schmeink
  • Publisher : Elsevier
  • Release : 15 July 2019
GET THIS BOOK Big 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

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 BOOK Big 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 : Houbing Song,Danda B Rawat,Sabina Jeschke,Christian Brecher
  • Publisher : Morgan Kaufmann
  • Release : 27 August 2016
GET THIS BOOK Cyber 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

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 BOOK Machine 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

Data Analytics for Intelligent Transportation Systems

Data Analytics for Intelligent Transportation Systems
  • Author : Mashrur Chowdhury,Amy Apon,Kakan Dey
  • Publisher : Elsevier
  • Release : 05 April 2017
GET THIS BOOK Data Analytics for Intelligent Transportation Systems

Data Analytics for Intelligent Transportation Systems provides in-depth coverage of data-enabled methods for analyzing intelligent transportation systems that includes detailed coverage of the tools needed to implement these methods using big data analytics and other computing techniques. The book examines the major characteristics of connected transportation systems, along with the fundamental concepts of how to analyze the data they produce. It explores collecting, archiving, processing, and distributing the data, designing data infrastructures, data management and delivery systems, and the required

Cyber Physical Systems

Cyber Physical Systems
  • Author : Danda B. Rawat,Joel J.P.C. Rodrigues,Ivan Stojmenovic
  • Publisher : CRC Press
  • Release : 28 October 2015
GET THIS BOOK Cyber Physical Systems

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 Systems: From Theory to Practice provides state-of-the-art research results and reports on emerging trends related to the science, technology, and engineering of CPS, including system architecture, development, modeling, simulation, security, privacy, trust, and energy

Cloud Based Cyber Physical Systems in Manufacturing

Cloud Based Cyber Physical Systems in Manufacturing
  • Author : Lihui Wang,Xi Vincent Wang
  • Publisher : Springer
  • Release : 16 November 2017
GET THIS BOOK Cloud Based Cyber Physical Systems in Manufacturing

This book presents state-of-the-art research, challenges and solutions in the area of cloud-based cyber-physical systems (CPS) used in manufacturing. It provides a comprehensive review of the literature and an in-depth treatment of novel methodologies, algorithms and systems in the area of architecture design, cyber security, process planning, monitoring and control. The book features detailed descriptions of how to derive solutions in a cloud environment where physical machines can be supported by cyber decision systems when engaged in real operations. It

Data Science and Data Analytics

Data Science and Data Analytics
  • Author : Amit Kumar Tyagi
  • Publisher : Chapman & Hall/CRC
  • Release : 15 June 2021
GET THIS BOOK Data Science and Data Analytics

"Data science is a multi-disciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from structured (labelled) and unstructured (unlabelled) data. It is the future of Artificial Intelligence (AI) and the necessity of future to make things easier and more productive. In simple terms, Data science is the discovery of data or uncovering hidden patterns (like complex behaviors, trends, and inferences) from data. Moreover, Big Data Analytics/Data Analytics are the analysis mechanism used in

Cyber Physical Systems Advances in Design Modelling

Cyber Physical Systems  Advances in Design   Modelling
  • Author : Alla G. Kravets,Alexander A. Bolshakov,Maxim V. Shcherbakov
  • Publisher : Springer Nature
  • Release : 25 November 2019
GET THIS BOOK Cyber Physical Systems Advances in Design Modelling

This book presents new findings on cyber-physical systems design and modelling approaches based on AI and data-driven techniques, identifying the key industrial challenges and the main features of design and modelling processes. To enhance the efficiency of the design process, it proposes new approaches based on the concept of digital twins. Further, it substantiates the scientific, practical, and methodological approaches to modelling and simulating of cyber-physical systems. Exploring digital twins of cyber-physical systems as well as of production systems, it