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Proceedings Paper

Optimization of data storage for identification of process dynamics
Author(s): Marta Kaminska
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Paper Abstract

The following paper is focused on optimization of data storage for identification of dynamic processes. A method for compression of archived data, containing information about process dynamics without a significant loss of information is described. The proposed algorithm applied to identify TSK models, allows reduction of data amount(approx. factor of l0), efficient data aggregation and archiving.

Paper Details

Date Published: 26 April 2006
PDF: 7 pages
Proc. SPIE 6159, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments IV, 61593O (26 April 2006); doi: 10.1117/12.674899
Show Author Affiliations
Marta Kaminska, Warsaw Univ. of Technology (Poland)


Published in SPIE Proceedings Vol. 6159:
Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments IV
Ryszard S. Romaniuk, Editor(s)

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