Structural Pattern Recognition Techniques for Data Retrieval in Massive Fusion Databases
- Asociacion EURATOM/CIEMAT para Fusion. Avda. Complutense, 22. 28040 Madrid (Spain)
- Consorzio RFX-Associazione EURATOM ENEA per la Fusione. I-35127 Padua (Italy)
Diagnostics of present day reactor class fusion experiments, like the Joint European Torus (JET), generate thousands of signals (time series and video images) in each discharge. There is a direct correspondence between the physical phenomena taking place in the plasma and the set of structural shapes (patterns) that they form in the signals: bumps, unexpected amplitude changes, abrupt peaks, periodic components, high intensity zones or specific edge contours. A major difficulty related to data analysis is the identification, in a rapid and automated way, of a set of discharges with comparable behavior, i.e. discharges with 'similar' patterns. Pattern recognition techniques are efficient tools to search for similar structural forms within the database in a fast an intelligent way. To this end, classification systems must be developed to be used as indexation methods to directly fetch the more similar patterns.
- OSTI ID:
- 21136819
- Journal Information:
- AIP Conference Proceedings, Vol. 988, Issue 1; Conference: International conference on burning plasma diagnostics, Varenna (Italy), 24-28 Sep 2007; Other Information: DOI: 10.1063/1.2905118; (c) 2008 American Institute of Physics; Country of input: International Atomic Energy Agency (IAEA). JET EFDA Contributors; ISSN 0094-243X
- Country of Publication:
- United States
- Language:
- English
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