Overview of intelligent data retrieval methods for waveforms and images in massive fusion databases

J. Vega, A. Murari, A. Pereira, A. Portas, G.A. Rattá, R. Castro

Research output: Contribution to journalArticle

13 Citations (Scopus)


JET database contains more than 42 Tbytes of data (waveforms and images) and it doubles its size about every 2 years. ITER database is expected to be orders of magnitude above this quantity. Therefore, data access in such huge databases can no longer be efficiently based on shot number or temporal interval. Taking into account that diagnostics generate reproducible signal patterns (structural shapes) for similar physical behaviour, high level data access systems can be developed. In these systems, the input parameter is a pattern and the outputs are the shot numbers and the temporal locations where similar patterns appear inside the database. These pattern oriented techniques can be used for first data screening of any type of morphological aspect of waveforms and images. The article shows a new technique to look for similar images in huge databases in a fast an efficient way. Also, previous techniques to search for similar waveforms and to retrieve time-series data or images containing any kind of patterns are reviewed. © 2008 J. Vega.
Original languageEnglish
Pages (from-to)1916 - 1919
Number of pages4
JournalFusion Engineering and Design
Issue number7-11
Publication statusPublished - Jun 2009
Externally publishedYes


All Science Journal Classification (ASJC) codes

  • Civil and Structural Engineering
  • Nuclear Energy and Engineering
  • Materials Science(all)
  • Mechanical Engineering

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