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Book: Big data analytics for cyber-physical systems

TitleBig data analytics for cyber-physical systems
Authors
KeywordsDemand-side management
Distributed control
Electric vehicle (EV)
Embedded systems
Genetic algorithms
Multi-agent system
Networked control systems
Pervasive computing
Photovoltaic system
Quality-of-service (QOS)
Smart device security
Issue Date2020
Citation
Big Data Analytics for Cyber-Physical Systems, 2020, p. 1-270 How to Cite?
AbstractThis 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. Helps readers understand the fundamentals of how big data analytics and optimization are involved in developing the cyber-physical systems; Presents readers with practical tools and design methodologies for implementing highly efficient big data based cyber-physical systems; Introduces recent advances and trends in leveraging big data techniques in a wide spectrum of domains of cyber-physical systems.
Persistent Identifierhttp://hdl.handle.net/10722/336244

 

DC FieldValueLanguage
dc.contributor.authorHu, Shiyan-
dc.contributor.authorYu, Bei-
dc.date.accessioned2024-01-15T08:24:49Z-
dc.date.available2024-01-15T08:24:49Z-
dc.date.issued2020-
dc.identifier.citationBig Data Analytics for Cyber-Physical Systems, 2020, p. 1-270-
dc.identifier.urihttp://hdl.handle.net/10722/336244-
dc.description.abstractThis 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. Helps readers understand the fundamentals of how big data analytics and optimization are involved in developing the cyber-physical systems; Presents readers with practical tools and design methodologies for implementing highly efficient big data based cyber-physical systems; Introduces recent advances and trends in leveraging big data techniques in a wide spectrum of domains of cyber-physical systems.-
dc.languageeng-
dc.relation.ispartofBig Data Analytics for Cyber-Physical Systems-
dc.subjectDemand-side management-
dc.subjectDistributed control-
dc.subjectElectric vehicle (EV)-
dc.subjectEmbedded systems-
dc.subjectGenetic algorithms-
dc.subjectMulti-agent system-
dc.subjectNetworked control systems-
dc.subjectPervasive computing-
dc.subjectPhotovoltaic system-
dc.subjectQuality-of-service (QOS)-
dc.subjectSmart device security-
dc.titleBig data analytics for cyber-physical systems-
dc.typeBook-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1007/978-3-030-43494-6-
dc.identifier.scopuseid_2-s2.0-85089333755-
dc.identifier.spage1-
dc.identifier.epage270-

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