CPS: Synergy: Self-Sustainable Data-Driven Systems In the Field

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Abstract:

Data-driven intelligence is an essential foundation for physical systems in transportation safety and efficiency, area surveillance and security, as well as environmental sustainability. While sophisticated data analysis and synthesis can be well supported in large data centers, future intelligent systems require on-the-scene processing with faster responses and less dependence on the unreliable (often wireless) data communications in the field.

  • data-driven systems
  • energy modeling
  • Image Processing
  • Supercapacitors
  • sustainability
  • University of Rochester
  • Automotive
  • CPS Domains
  • Smart Grid
  • Control
  • Energy
  • Modeling
  • Critical Infrastructure
  • Wireless Sensing and Actuation
  • Transportation
  • CPS Technologies
  • Foundations
  • National CPS PI Meeting 2015
  • 2015
  • Abstract
  • Poster
  • Academia
  • 2015 CPS PI MTG Videos, Posters, and Abstracts
Submitted by Kai Shen on