Persona: Dormido Canto, Sebastián
Cargando...
Dirección de correo electrónico
ORCID
0000-0001-7652-5338
Fecha de nacimiento
Proyectos de investigación
Unidades organizativas
Puesto de trabajo
Apellidos
Dormido Canto
Nombre de pila
Sebastián
Nombre
9 resultados
Resultados de la búsqueda
Mostrando 1 - 9 de 9
Publicación Development of a Web-Based Control Laboratory for Automation Technicians: The Three-Tank System(IEEE TRANSACTIONS ON EDUCATION, 2007-01-01) Vargas Oyarzun, Héctor; Farias Castro, Gonzalo Alberto; Esquembre Martínez, Francisco; Dormido Bencomo, Sebastián; Dormido Canto, Raquel; Duro Carralero, Natividad; Sánchez Moreno, José; Dormido Canto, SebastiánPublicación 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 WEB-BASED LEARNING RESOURCES FOR VOCATIONAL TRAINING FOR AUTOMATION TECHNICIANS(IFAC 2006, 2006-01-01) Vargas Oyarzun, Héctor; Dormido Bencomo, Sebastián; Farias Castro, Gonzalo Alberto; Esquembre Martínez, Francisco; Sánchez Moreno, José; Duro Carralero, Natividad; Dormido Canto, Raquel; Dormido Canto, SebastiánPublicación 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 Developing and Implementing Virtual and Remote Labs for Control Education: The UNED pilot experience(17th IFAC World Congress (IFAC'08) Seoul, Korea, July 6-11, 2008, 2008-07-06) Dormido Bencomo, Sebastián; Vargas Oyarzun, Héctor; Dormido Canto, Raquel; Duro Carralero, Natividad; Dormido Canto, Sebastián; Morilla García, FernandoLast years, research efforts on the development of virtual and remote laboratories in control engineering education have been reported in many conferences, workshops and journals. However, it is observed that pilot experiences about the utilization of web-based laboratories are not habitual practices. In this paper it is described the pilot experience of the Department of Computer Science and Automatic Control of the Spanish University of Distance Learning (UNED) about the introduction of three webbased laboratories in a course on process control. This experience begins with descriptions of the tools employed to develop client and server-sides and the collaborative environment used to publish the labs in Internet. Attention is due to the concept of task protocol. It consists essentially of an ordered list of activities that students must execute in the virtual and remote mode of each one of the three web-based laboratories. To conclude, results of the pilot experience are given by means of evaluation questionnaires.Publicación 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 Using Web-based laboratories for control engineering education(International Conference on Engineering Education – ICEE 2007, 2007-09-03) Dormido Bencomo, Sebastián; Vargas Oyarzun, Héctor; Esquembre Martínez, Francisco; Sánchez Moreno, José::virtual::3765::600; Duro Carralero, Natividad::virtual::3766::600; Dormido Canto, Raquel::virtual::3767::600; Dormido Canto, Sebastián::virtual::3768::600; Sánchez Moreno, José; Duro Carralero, Natividad; Dormido Canto, Raquel; Dormido Canto, Sebastián; Sánchez Moreno, José; Duro Carralero, Natividad; Dormido Canto, Raquel; Dormido Canto, Sebastián; Sánchez Moreno, José; Duro Carralero, Natividad; Dormido Canto, Raquel; Dormido Canto, SebastiánPublicación 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 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.