Examinando por Autor "Santos, M."
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Publicación Aplicaciónde técnica de inteligencia artificial y tratamiento de señales en fusión(CEA-IFAC, 2005, 2005-01-01) Farias Castro, Gonzalo Alberto; Santos, M.Publicación Data mining technique for fast retrieval of similar waveforms in Fusion massive databases(Elsevier, 2008-01-01) Vega, J.; Pereira González, Augusto; Portas, A.; Farias Castro, Gonzalo Alberto; Santos, M.; Sánchez, E.; Pajares Martínsanz, Gonzalo; Dormido Canto, Sebastián; Dormido Canto, Raquel; Sánchez Moreno, José; Duro Carralero, NatividadFusion measurement systems generate similarwaveforms for reproducible behavior.Amajor difficulty related to data analysis is the identification, in a rapid and automated way, of a set of discharges with comparable behaviour, i.e. discharges with “similar” waveforms. Here we introduce a new technique for rapid searching and retrieval of “similar” signals. The approach consists of building a classification system that avoids traversing the whole database looking for similarities. The classification system diminishes the problem dimensionality (by means of waveform feature extraction) and reduces the searching space to just the most probable “similar” waveforms (clustering techniques). In the searching procedure, the input waveform is classified in any of the existing clusters. Then, a similarity measure is computed between the input signal and all cluster elements in order to identify the most similar waveforms. The inner product of normalized vectors is used as the similarity measure as it allows the searching process to be independent of signal gain and polarity. This development has been applied recently to TJ-II stellarator databases and has been integrated into its remote participation system.Publicación Determinación de parámetros de la transfomada Wavelet para la clasificación de señales del diagnóstico scattering Thomson(Jornadas de Automática 2004, 2004-01-01) Farias Castro, Gonzalo Alberto; Santos, M.; Fernández Marrón, José Luis; Dormido Canto, Sebastián