Abstract

Cyber-Physical Systems (CPS) are systems that are in feedback with their environment, possibly with humans in the loop. They are often distributed with sensors and actuators, smart, adaptive and predictive and react in real-time. Image- A nd video-processing pipelines are a prime source for environmental information improving the possibilities of active, relevant feedback. In such a context, FitOptiVis aims to provide end-to-end multi-objective optimization for imaging and video pipelines of CPS, with emphasis on energy and performance, leveraging on a reference architecture, supported by low-power, high-performance, smart devices, and by methods and tools for combined design-time and run-time multi-objective optimization within system and environment constraints.


Original document

The different versions of the original document can be found in:

http://dx.doi.org/10.1145/3310273.3323437 under the license http://www.acm.org/publications/policies/copyright_policy#Background
http://www.scopus.com/inward/record.url?scp=85066051362&partnerID=8YFLogxK
https://doi.org/10.1145/3310273.3323437,
https://www.narcis.nl/publication/RecordID/oai%3Apure.tue.nl%3Apublications%2Fe89b7607-db51-4207-865b-d73fbaaf0afd,
http://doi.org/10.1145/3310273.3323437,
https://research.tue.nl/nl/publications/the-fitoptivis-ecsel-project-highly-efficient-distributed-embedde,
https://academic.microsoft.com/#/detail/2944724070
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Document information

Published on 29/04/19
Accepted on 29/04/19
Submitted on 29/04/19

Volume 2019, 2019
DOI: 10.1145/3310273.3323437
Licence: Other

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