Armendáriz Armenteros, Miguel Ángel

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https://academica-e.unavarra.es/handle/2454/53307

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Armendáriz Armenteros

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Miguel Ángel

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Ingeniería Eléctrica, Electrónica y de Comunicación

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ISC. Institute of Smart Cities

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0009-0002-5712-7697

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1355117

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813207

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2024 - 20252
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    PublicationOpen Access
    Sistema de medición de condiciones atmosféricas basado en el estudio del flujo de muones
    (Universidad de Castilla La Mancha, 2024) Armendáriz Armenteros, Miguel Ángel; Vertiz Conde, Amaia; Martín Iglesias, Petronilo; Gómez Laso, Miguel Ángel; Muro Pérez, Aitor; Ingeniería Eléctrica, Electrónica y de Comunicación; Ingeniaritza Elektrikoa, Elektronikoa eta Telekomunikazio Ingeniaritza; Institute of Smart Cities - ISC
    To date, there is no straightforward method for monitoring meteorological conditions in real-time through experimental measurements. Consequently, all weather predictions rely on forecasting models, which are unable to adapt to actual weather changes, thereby compromising their accuracy. The project described in this paper seeks to establish a weather measurement system that leverages the relationship between climatic conditions and the phenomena of cosmic ray degradation and muon generation. If this relationship is accurately defined, it could lead to the development of a model that predicts atmospheric conditions based on the flux of muons and cosmic rays and the occurrence of the aforementioned phenomena. This paper provides a theoretical foundation to support the viability of the project, outlines the proposed configuration of the system, and discusses the implementation of its most crucial components. This project was undertaken by students from the Degree in Engineering in Telecommunication Technologies at the Public University of Navarre (UPNA), within the course Projects in Telecommunication Systems
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    PublicationOpen Access
    Vector-based pattern recognition algorithm for interferometric fiber sensor-signals analysis
    (IEEE, 2025-01-15) Valentín-Coronado, Luis M.; Martínez Manuel, Rodolfo; Esquivel-Hernández, Jonathan; Díaz Lucas, Silvia; Martínez-Guerrero, María de Los Ángeles; Armendáriz Armenteros, Miguel Ángel; LaRochelle, Sophie; Institute of Smart Cities - ISC
    A vector-based pattern recognition algorithm (V-PRA) for interferometric fiber sensor (IFS) signals is introduced. The proposed V-PRA transforms sensed interferometric signals into vectors to identify them by calculating the angular similarity with reference database vectors. This process accurately recognizes sensing patterns and assigns corresponding physical parameter values. The algorithm’s performance was tested in various IFS systems, including Fabry-Perot interferometers for refractive index measurement, multimode IFS for bending and strain monitoring, and multicore IFS for temperature monitoring. Experimental results confirm the effectiveness of the V-PRA as a specialized tool for IFSs.