Persona: Dormido Canto, Raquel
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0000-0003-1175-5065
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Dormido Canto
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Raquel
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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::virtual::3655::600; Dormido Canto, Raquel::virtual::3656::600; Sánchez Moreno, José::virtual::3657::600; Duro Carralero, Natividad::virtual::3658::600; Dormido Canto, Sebastián; Dormido Canto, Raquel; Sánchez Moreno, José; Duro Carralero, Natividad; Dormido Canto, Sebastián; Dormido Canto, Raquel; Sánchez Moreno, José; Duro Carralero, Natividad; 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 Heatflow: un laboratorio basado en web usando Easy JAva simulations y labview para el entrenamiento en técnicas de automatización(XII Latin-American Congress on Automatic Control , CD-ROM del Congreso, Salvador de Bahía (Brasil), october 2006, 2006-10-01) Vargas Oyarzun, Héctor; Farias Castro, Gonzalo Alberto; Dormido Bencomo, Sebastián; Canto Díez, María Antonia; Esquembre Martínez, Francisco; Dormido Canto, Raquel; Duro Carralero, Natividad; Sánchez Moreno, José; Dormido Canto, SebastiánPublicación DESARROLLO DE LABORATORIOS VIRTUALES, INTERACTIVOS Y REMOTOS UTILIZANDO EASY JAVA SIMULATIONS Y MODELOS SIMULINK(XII Latin-American Congress on Automatic Control , CD-ROM del Congreso, Salvador de Bahía (Brasil), october 2006, 2006-01-01) Farias Castro, Gonzalo Alberto; Esquembre Martínez, Francisco; Dormido Bencomo, Sebastián; Vargas Oyarzun, Héctor; Canto Díez, María Antonia; Sánchez Moreno, José; Dormido Canto, Raquel; Duro Carralero, NatividadPublicación Advanced Control by Reinforcement Learning for Wastewater Treatment Plants: A Comparison with Traditional Approaches(MDPI, 2023) Gorrotxategi Zipitria, Mikel; Hernández del Olmo, Félix; Gaudioso Vázquez, Elena; Duro Carralero, Natividad; Dormido Canto, RaquelControl mechanisms for biological treatment of wastewater treatment plants are mostly based on PIDS. However, their performance is far from optimal due to the high non-linearity of the biological and changing processes involved. Therefore, more advanced control techniques are proposed in the literature (e.g., using artificial intelligence techniques). However, these new control techniques have not been compared to the traditional approaches that are actually being used in real plants. To this end, in this paper, we present a comparison of the PID control configurations currently applied to control the dissolved oxygen concentration (in the active sludge process) against a reinforcement learning agent. Our results show that it is possible to have a very competitive operating cost budget when these innovative techniques are applied.Publicación The Three-Tank System: A Remote and Virtual Control Laboratory using Easy Java Simulations(2005-01-01) Vargas Oyarzun, Héctor; Dormido Bencomo, Sebastián; Duro Carralero, Natividad; Dormido Canto, Raquel; Sánchez Moreno, José; Pastor Vargas, Rafael; Dormido Canto, SebastiánPublicación Aplicación de un sistema de medición automática en prácticas de respuesta en frecuencia(1998-01-01) Lázaro Obensa, Juan Carlos; Morilla García, Fernando; Hernández Berlinches, Roberto; Dormido Canto, RaquelPublicación Machine Learning Weather Soft-Sensor for Advanced Control ofWastewater Treatment Plants(MDPI, 2019) Hernández del Olmo, Félix; Gaudioso Vázquez, Elena; Duro Carralero, Natividad; Dormido Canto, RaquelControl of wastewater treatment plants (WWTPs) is challenging not only because of their high nonlinearity but also because of important external perturbations. One the most relevant of these perturbations is weather. In fact, different weather conditions imply different inflow rates and substance (e.g., N-ammonia, which is among the most important) concentrations. Therefore, weather has traditionally been an important signal that operators take into account to tune WWTP control systems. This signal cannot be directly measured with traditional physical sensors. Nevertheless, machine learning-based soft-sensors can be used to predict non-observable measures by means of available data. In this paper, we present novel research about a new soft-sensor that predicts the current weather signal. This weather prediction differs from traditional weather forecasting since this soft-sensor predicts the weather conditions as an operator does when controling the WWTP. This prediction uses a model based on past WWTP influent states measured by only a few physical and widely applied sensors. The results are encouraging, as we obtained a good accuracy level for a relevant and very useful signal when applied to advanced WWTP control systems.Publicación Análisis, desarrollo y publicación de laboratorios vrtuales y remotos para la enseñanza de la automática(EIWISA 2007, V Jornadas de enseñanza a través de internet/web de la inginiería de sistemas y automática, 2007-01-01) Dormido Bencomo, Sebastián; Farias Castro, Gonzalo Alberto; Canto Díez, María Antonia; Esquembre Martínez, Francisco; Sánchez Moreno, José; Dormido Canto, Sebastián; Dormido Canto, Raquel; Duro Carralero, NatividadPublicación Red Automatl@bs. Compartiendo recursos de experimentación a través de Internet: la experiencia Automatl@bs(2009-09-01) Dormido Bencomo, Sebastián; Vargas Oyarzun, Héctor; Canto Díez, María Antonia; Farias Castro, Gonzalo Alberto; Sánchez Moreno, José; Dormido Canto, Raquel; Duro Carralero, Natividad; Dormido Canto, Sebastián; Morilla García, FernandoPublicación A systematic two-layer approach to develop Web-based experimentation environments for control engineering education((submitted), 2007-01-01) Vargas Oyarzun, Héctor; Farias Castro, Gonzalo Alberto; Dormido Bencomo, Sebastián; Sánchez Moreno, José::virtual::4166::600; Dormido Canto, Raquel::virtual::4167::600; Dormido Canto, Sebastián::virtual::4168::600; Sánchez Moreno, José; Dormido Canto, Raquel; Dormido Canto, Sebastián; Sánchez Moreno, José; Dormido Canto, Raquel; Dormido Canto, Sebastián; Sánchez Moreno, José; Dormido Canto, Raquel; Dormido Canto, Sebastián