Author/Authors :
Rattل، نويسنده , , G.A. and Vega، نويسنده , , J. and Pereira، نويسنده , , A. and Portas، نويسنده , , A. and de la Luna، نويسنده , , E. and Dormido-Canto، نويسنده , , S. and Farias، نويسنده , , G. and Dormido-Canto، نويسنده , , R. and Sلnchez، نويسنده , , J. and Duro، نويسنده , , Showan N. and Vargas-Coronado، نويسنده , , H. and Santos، نويسنده , , M. Hernandez-Pajares، نويسنده , , G. and Murari، نويسنده , , A.، نويسنده ,
Abstract :
Structural pattern recognition techniques allow the identification of plasma behaviours. Physical properties are encoded in the morphological structure of signals. Intelligent access methods have been applied to JET databases to retrieve data according to physical criteria. On the one hand, the structural form of signals has been used to develop general purpose data retrieval systems to search for both similar entire waveforms and similar structural shapes inside waveforms. On the other hand, domain dependent knowledge was added to the structural information of signals to create particular data retrieval methods for specific physical phenomena. The inclusion of explicit knowledge assists in data analysis. The latter has been applied in JET to look for first, cut-offs in ECE heterodyne radiometer signals and, second, L-H transitions.
