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 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.

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  • Author : Guido Dartmann
  • Publisher : Elsevier
  • Pages : 396 pages
  • ISBN : 0128166460
  • 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 : 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

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 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
  • 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 : 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

Transportation Cyber-Physical Systems

Transportation Cyber-Physical Systems
  • Author : Lipika Deka,Mashrur Chowdhury
  • Publisher : Elsevier
  • Release : 30 July 2018
GET THIS BOOKTransportation Cyber-Physical Systems

Transportation Cyber-Physical Systems provides current and future researchers, developers and practitioners with the latest thinking on the emerging interdisciplinary field of Transportation Cyber Physical Systems (TCPS). The book focuses on enhancing efficiency, reducing environmental stress, and meeting societal demands across the continually growing air, water and land transportation needs of both people and goods. Users will find a valuable resource that helps accelerate the research and development of transportation and mobility CPS-driven innovation for the security, reliability and stability of

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,Yu-Wei Chan,Neil Yen
  • Publisher : Springer Nature
  • Release : 03 February 2020
GET THIS BOOKData Processing Techniques and Applications for Cyber-Physical Systems (DPTA 2019)

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

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

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

Handbook of Industry 4.0 and SMART Systems

Handbook of Industry 4.0 and SMART Systems
  • Author : Diego Galar Pascual,Pasquale Daponte,Uday Kumar
  • Publisher : CRC Press
  • Release : 01 October 2019
GET THIS BOOKHandbook of Industry 4.0 and SMART Systems

Industry 4.0 refers to fourth generation of industrial activity characterized by smart systems and internet-based solutions. This book describes the fourth revolution based on instrumented, interconnected and intelligent assets. The different book chapters provide a perspective on technologies and methodologies developed and deployed leading to this concept. With an aim to increase performance, productivity and flexibility, major application area of maintenance through smart system has been discussed in detail. Applicability of 4.0 in transportation, energy and infrastructure is explored, with effects on

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 (

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 BOOKCloud-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

Big-Data Analytics for Cloud, IoT and Cognitive Computing

Big-Data Analytics for Cloud, IoT and Cognitive Computing
  • Author : Kai Hwang,Min Chen
  • Publisher : John Wiley & Sons
  • Release : 17 March 2017
GET THIS BOOKBig-Data Analytics for Cloud, IoT and Cognitive Computing

The definitive guide to successfully integrating social, mobile, Big-Data analytics, cloud and IoT principles and technologies The main goal of this book is to spur the development of effective big-data computing operations on smart clouds that are fully supported by IoT sensing, machine learning and analytics systems. To that end, the authors draw upon their original research and proven track record in the field to describe a practical approach integrating big-data theories, cloud design principles, Internet of Things (IoT) sensing,