Persona: Sánchez Moreno, José
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Sánchez Moreno
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José
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Publicación Web-based Learning Resources for Vocational Training on Control and Measurement Systems: The AutoTECH Project(European Control Conference ECC2007, 2007-01-01) Vargas Oyarzun, Héctor; Dormido Bencomo, Sebastián; Sánchez Moreno, JoséPublicación Desarollo de un entorno de experimentación basado en web para estudios de inginiería: un caso práctico(CEDI 2007, V Jornadas de Enseñanza a través de internet/web de la inginiería de sistemas y automática, 2007-01-01) Guzmán Sánchez, José Luis; Berenguel, Manuel; Rodríguez, F.; Vargas Oyarzun, Héctor; Dormido Bencomo, Sebastián; Sánchez Moreno, JoséPublicación Design and Development of an SVM-Powered Underwater Acoustic Modem(MDPI, 2024-05-05) Guerrero Chilaber, Gabriel S.; Moreno Salinas, David; Sánchez Moreno, José; https://orcid.org/0009-0009-9959-0250Underwater acoustic communication is fraught with challenges, including signal distortion, noise, and interferences unique to aquatic environments. This study aimed to advance the field by developing a novel underwater modem system that utilizes machine learning for signal classification, enhancing the reliability and clarity of underwater transmissions. This research introduced a system architecture incorporating a Lattice Semiconductors FPGA for signal modulation and a half-pipe waveguide to emulate the underwater environment. For signal classification, support vector machines (SVMs) were leveraged with the continuous wavelet transform (CWT) employed for feature extraction from acoustic signals. Comparative analysis with traditional signal processing techniques highlighted the efficacy of the CWT in this context. The experiments and tests carried out with the system demonstrated superior performance in classifying modulated signals under simulated underwater conditions, with the SVM providing a robust classification despite the presence of noise. The use of the CWT for feature extraction significantly enhanced the model’s accuracy, eliminating the need for further dimensionality reduction. Therefore, the integration of machine learning with advanced signal processing techniques presents a promising research line for overcoming the complexities of underwater acoustic communication. The findings underscore the potential of data mining methodologies to improve signal clarity and transmission reliability in aquatic environments.Publicación Distributed multi-UAV shield formation based on virtual surface constraints(Elsevier, 2024-03-30) Zaragoza, Salvador ; Guinaldo Losada, María; Sánchez Moreno, José; Mañas Álvarez, Francisco JoséThis paper proposes a method for the deployment of a multi-agent system of unmanned aerial vehicles (UAVs) as a shield with potential applications in the protection of infrastructures. The shield shape is modeled as a quadric surface in the 3D space. To design the desired formation (target distances between agents and interconnections), an algorithm is proposed where the input parameters are just the parametrization of the quadric and the number of agents of the system. This algorithm guarantees that the agents are almost uniformly distributed over the virtual surface and that the topology is a Delaunay triangulation. Moreover, a new method is proposed to check if the resulting triangulation meets that condition and is executed locally. Because this topology ensures that the formation is rigid, a distributed control law based on the gradient of a potential function is proposed to acquire the desired shield shape and proofs of stability are provided. Finally, simulation and experimental results illustrate the effectiveness of the proposed approach.Publicación Low-Cost Portable System for Measurement and Representation of 3D Kinematic Parameters in Sport Monitoring: Discus Throwing as a Case Study(MDPI, 2022-12-02) Navarro Iribarne, Juan Francisco; Moreno Salinas, David; Sánchez Moreno, José; https://orcid.org/0000-0001-6994-3064Monitoring of sports practice has become an almost essential tool in high-level professional training. The knowledge of the exact movements performed by an athlete provides a great advantage over conventional training, since the best performance can be theoretically known in advance and the trainer will expect the real athlete’s movements to approximate it. Following this trend, this article deals with the design and development of a low-cost wearable biofeedback system for the measurement and representation of kinematic parameters in 3D. To capture the athlete’s movements, an inertial measurement unit (IMU) is used, whose data are processed in an microcontroller-based architecture. The kinematic parameters of the athlete’s movement are sent via Bluetooth to a smart phone, where they are displayed graphically. Experimental examples show the effectiveness of the device developed and illustrate the key results derived.Publicación A new control laboratory using parallel programming(2007-11-28) Dormido Bencomo, Sebastián; Dormido Canto, Sebastián; Sánchez Moreno, JoséPublicación LABORATORIOS VIRTUALES REMOTOS USANDO EASY JAVA SIMULATIONS Y SIMULINK(XXVII Jornadas de Automática, 2006-01-01) Farias Castro, Gonzalo Alberto; Esquembre Martínez, Francisco; Dormido Bencomo, Sebastián; Sánchez Moreno, JoséPublicación El sistema de tres tanques: un laboratorio virtual y remoto usando Easy Java Simulations(Actas de las IV Jornadas de Enseñanza a través de Internet/Web de la Ingeniería de Sistemas y Automática, EIWISA2005 (CEA-IFAC), pp.51-58, 2005-01-01) Vargas Oyarzun, Héctor; Dormido Bencomo, Sebastián; Duro Carralero, Natividad; Dormido Canto, Raquel; Sánchez Moreno, JoséPublicación Multiple frequency response points identification through single asymmetric relay feedback experiment(Elsevier, 2023-01) Miguel Escrig, Oscar; Romero Pérez, Julio Ariel; Dormido, Sebastián; Sánchez Moreno, José; https://orcid.org/0000-0003-3397-2239In this paper a methodology to identify several points of the frequency response of a system using a single experiment is proposed. The identification is performed using the information obtained from an asymmetric relay feedback experiment. The frequency response points that are estimated correspond to the fundamental oscillation frequency induced by the asymmetric relay and its harmonics. The method is easy to implement since it only requires linear algebra operations, but relies on a proper data selection, which is largely studied, to obtain the most accurate results. The proposed method allows a Least Squares formulation, which has also been studied, and presents some benefits in terms of accuracy for certain cases. The presented results are validated experimentally using a practical identification case.Publicación Muestreo, Control y Comunicación basados en eventos(Revista Iberoamericana de Automática e Informatica Industrial, 2008-01-01) Dormido Bencomo, Sebastián; Sánchez Moreno, José