Recent results on structural pattern recognition for Fusion massive databases

J. Vega, G. Rattá, A. Murari, P. Castro, S. Dormido-Canto, R. Dormido, G. Farias, A. Pereira, A. Portas, E. De La Luna, I. Pastor, J. Sánchez, N. Duro, R. Castro, M. Santos, H. Vargas

Research output: Contribution to conferencePaper

9 Citations (Scopus)

Abstract

Physics studies in fusion devices require statistical analyses of a large number of discharges. Given the complexity of the plasma and the non-linear interactions between the relevant parameters, connecting a physical phenomenon with the signal patterns that it generates can be quite demanding. Up to now, data retrieval has been typically accomplished by means of signal name and shot number. The search of the temporal segment to analyze has been carried out in a manual way. Manual searches in databases must be replaced by intelligent techniques to look for data in an automated way. Structural pattern recognition techniques have proven to be very efficient methods to index and retrieve data in JET and TJ-II databases. Waveforms and images can be accessed through several structural pattern recognition applications. ©2007 IEEE.
Original languageEnglish
DOIs
Publication statusPublished - 2007
Externally publishedYes
Event2007 IEEE International Symposium on Intelligent Signal Processing, WISP - , Spain
Duration: 1 Jan 2007 → …

Conference

Conference2007 IEEE International Symposium on Intelligent Signal Processing, WISP
CountrySpain
Period1/1/07 → …

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All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Signal Processing

Cite this

Vega, J., Rattá, G., Murari, A., Castro, P., Dormido-Canto, S., Dormido, R., ... Vargas, H. (2007). Recent results on structural pattern recognition for Fusion massive databases. Paper presented at 2007 IEEE International Symposium on Intelligent Signal Processing, WISP, Spain. https://doi.org/10.1109/WISP.2007.4447569