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| Title | Big Data Analytics For Cyber-Physical Systems |
|---|---|
| ID_Doc | 12011 |
| Authors | Hu S.; Yu B. |
| Year | 2020 |
| Published | Big Data Analytics for Cyber-Physical Systems |
| DOI | http://dx.doi.org/10.1007/978-3-030-43494-6 |
| Abstract | 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. 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. © Springer Nature Switzerland AG 2020. |
| Author Keywords | Demand-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 |
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