Persona:
Moreno Salinas, David

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0000-0002-0264-3419
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Moreno Salinas
Nombre de pila
David
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2022 - 20243
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Autor: Sánchez Moreno, José × search.filters.applied.f.itemFacultad: E.T.S. de Ingeniería Informática ×

Resultados de la búsqueda

Mostrando 1 - 3 de 3
  • Miniatura
    Publicación
    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/0009-0009-9959-0250
    Underwater 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.
  • Miniatura
    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/0000-0001-6994-3064
    Monitoring 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.
  • Miniatura
    Publicación
    Composición fotográfica mediante el uso de un dron
    (Comité Español de Automática, 2024-07-15) Sánchez García, Juan Miguel; Sánchez Moreno, José; Moreno Salinas, David
    La composición fotográfica, conocida como mosaicos, es crucial en aplicaciones donde no es posible capturar toda la extensión de grandes superficies en una sola toma. Por ende, se requiere fotografiar secciones más pequeñas para luego componerlas y lograr una reproducción lo más precisa posible de la realidad. En este trabajo se presenta el resultado de aplicar los principios de las distintas etapas necesarias para crear un mosaico, complementado con el uso de un dron para la captura de las imágenes. La creación del mosaico implica técnicas avanzadas de procesamiento de imágenes que facilitan la detección de características, la transformación geométrica y la alineación de píxeles. Sin embargo, la experimentación con diferentes algoritmos ha revelado que no siempre es viable encontrar una transformación geométrica que produzca un mosaico de calidad, especialmente cuando las características de la fotografía no son óptimas, lo cual puede ser atribuible, en parte, a la resolución de los dispositivos fotográficos utilizados.