Actas y comunicaciones de congresos

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Examinando Actas y comunicaciones de congresos por Palabra clave "1203.17 Informática"

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    Publicación
    Error dependent sampling to reduce transient events in event-based control
    (Institute of Electrical and Electronics Engineers, 2025-03-25) Miguel Escrig, Oscar; Romero Pérez, Julio Ariel; Sánchez Moreno, José; Dormido Bencomo, Sebastián
    One of the objectives of event-based control is the reduction of generated events to perform an appropriate process control. Among the event generation techniques used to this end, those quantifying the error signal can be found more frequently for its simplicity of implementation. However, they entail a drawback in the form of trade-off between event generation and performance. Aiming to reduce the number of events, specifically in the transient response, without degrading the performance, an error dependent sampling scheme is studied in this work.
  • Miniatura
    Publicación
    A hybrid temporal-magnitude based sampling for Event-Based Control
    (Institute of Electrical and Electronics Engineers, 2025-03-25) Miguel Escrig, Oscar; Sánchez Moreno, José; Romero Pérez, Julio Ariel; Dormido Bencomo, Sebastián
    In the current industrial environment, which is shifting towards an event-based control prone paradigm, sampling strategies in use must be revisited. Both temporal and magnitude dependent sampling strategies have been demonstrated to be suitable for control systems, reporting benefits in different categories. However, these sampling strategies also present some drawbacks, discussed in this contribution. Aiming to address some of these drawbacks, a new sampling strategy is proposed gathering characteristics of both predecessors.
  • Miniatura
    Publicación
    Privacy Analysis in Mobile Apps and Social Networks Using AI Techniques
    (IEEE - Institute of Electrical and Electronics Engineers, 2024-09-17) Blanco Aza, Daniel; Robles Gómez, Antonio; Pastor Vargas, Rafael; Tobarra Abad, María de los Llanos; Vidal Balboa, Pedro; Méndez Suárez, Mariano
    In the current landscape of mobile applications and social networks, privacy concerns have become paramount due to the extensive collection and processing of personal data. Therefore, this paper presents a comprehensive review of the state-of-the-art on automated privacy risk analysis in mobile applications and social networks. This review includes various methodologies, tools and frameworks that use ML and NLP systems to assess and ensure compliance with privacy regulations, such as the GDPR. Through a careful application of the PRISMA methodology, key studies have been systematically analyzed. Our findings reveal significant progress in the integration of automated techniques for assessing privacy risks.
  • Miniatura
    Publicación
    A vision-based strategy to segment and localize ancient symbols written in stone
    (Springer, 2017-12-21) Duque Domingo, Jaime; Herrera Caro, Pedro Javier; Cerrada Somolinos, Carlos; Cerrada Somolinos, José Antonio; https://orcid.org/0000-0001-6649-5550; https://orcid.org/0000-0001-8679-6617; https://orcid.org/0000-0002-8591-6581; https://orcid.org/0000-0001-5492-5293
    This work proposes an automatic method to detect ancient symbols written in stone. The proposed method takes into account well-known techniques used in computer vision to identify the contour of the symbols in the image. The two-stage method consists of segmentation and localization processes. Segmentation process includes a pre-processing step, edge detection and thresholding. Localization process is based on two conditions that take into account several parameters, like the distance between points, and the orientation and the continuity of the edges. This proposal has been applied to localize Egyptian cartouches (borders enclosing the name of a king) and stonemason’s marks from images obtained under varying lighting conditions (controlled and natural lighting). The proposed method is compared favorably against other methods based on chain coding, neural networks and statistical correlation. The promising results give new possibilities to identify and recognize complex symbols and ancient texts.