Facial recognition powered by Artificial Intelligence has achieved high accuracy in specific scenarios and applications. Nevertheless, it faces significant challenges regarding privacy and identity management, particularly when unknown individuals appear in the operational context. This paper presents the design, implementation, and evaluation of a facial recognition system within a federated learning framework tailored to open-set scenarios. The proposed approach integrates the OpenMax algorithm into federated learning, leveraging the exchange of mean activation vectors and local distance measures to reliably distinguish between known and unknown subjects. Experimental results validate the effectiveness of the proposed solution, demonstrating its potential for enhancing privacy-aware and robust facial recognition in distributed environments. -- El reconocimiento facial impulsado por Inteligencia Artificial ha demostrado una alta precisión en algunos escenarios y aplicaciones. Sin embargo, presenta desafíos relacionados con la privacidad y la identificación de personas, especialmente considerando que pueden aparecer sujetos desconocidos para el sistema que lo implementa. En este tr
The visibility of research projects is crucial for maximizing their scientific and societal impact. Current Research Information Systems (CRIS) centralize data, enhancing access, the dissemination of results, and interdisciplinary collaboration. This article examines how CRIS improves global reach, funding opportunities, and adherence to open science principles, contrasting these advantages with the limitations faced by projects without such systems. CRIS proves to be essential tools for optimizing information management, strengthening research, and positioning institutions within the global scientific community.
There is a contemporary trend toward geometrizing all mathematical theories, as proposed by the Langlands program, and, by extension, physical theories as well. Within this paradigm, it becomes possible to represent physical objects as formal geometric entities. This opens the door within the framework of logical empiricism pragmatism and constructive realism to the development of a new philosophical approach grounded in a logical mathematical perspective. The aim is to integrate both the physics and metaphysics of the objects of the world into a unified system of knowledge, based on the geometric and physical interpretations of their mathematical representations. This article is presented as a foundational step in the development of that approach.
In mobile robotics, coverage navigation refers to the deliberate movement of a robot with the purpose of covering a certain area or volume. Performing this task properly is fundamental for the execution of several activities, for instance, cleaning a facility with a robotic vacuum cleaner. In the mining industry, it is required to perform coverage in several unit processes related with material movement using industrial machinery, for example, in cleaning tasks, in dumps, and in the construction of tailings dam walls. The automation of these processes is fundamental to enhance the security associated with their execution. In this work, a coverage navigation system for a non-holonomic robot is presented. This work is intended to be a proof of concept for the potential automation of various unit processes that require coverage navigation like the ones mentioned before. The developed system includes the calculation of routes that allow a mobile platform to cover a specific area, and incorporates recovery behaviors in case that an unforeseen event occurs, such as the arising of dynamic or previously unmapped obstacles in the terrain to be covered, e.g., other machines or pedestrians pa
A simplified model of an initially excited oscillator as a quantum system interacting with a large number of oscillators acting as a reservoir has been developed in this work. All these oscillators are in their ground state uncoupled each other and at the limit of the weak coupling between the system and the reservoir. This system could be an oscillator excited in a microcavity that interacts with the vacuum's electromagnetic field at zero temperature. This work's primary goal is to obtain the system's density matrix's exact solution in these conditions. The general approach calculates all oscillators' evolution as a single isolated entity using the evolution operator. Starting from a total initial state that can be factored between the system and the reservoir, the evolution is unitary, and the partial trace is taken in all the degrees of freedom of the environment to obtain the density matrix of the system at any instant of time; this procedure requires diagonalizing Hamiltonian. The results are evaluated for a reservoir of N=1000 oscillators, particular values of the coupling force, and ohmic order of the spectral density, contrasted with the corresponding Markovian solution des
In the article, we present a Web-based System called M2LADS, which supports the integration and visualization of multimodal data recorded in user experiences (UX) in a Learning Analytics (LA) system in the form of Web-based Dashboards. Based on the edBB platform, the multimodal data gathered contains biometric and behavioral signals including electroencephalogram data to measure learners' cognitive attention, heart rate for affective measures and visual attention from the video recordings. Additionally, learners' static background data and their learning performance measures are tracked using LOGGE tool. M2LADS provides opportunities to capture learners' holistic experience during their interactions with the learning analytic system in order to improve the system and the user experience of the learners. -- En este artículo, presentamos M2LADS, un sistema que permite la integración y visualización de datos multimodales en forma de Dashboards Web. Estos datos provienen de sesiones de experiencia de usuario en un sistema de Learning Analytics (LA) llevadas a cabo por estudiantes de MOOCs. Los datos multimodales incluyen señales biométricas y de comportamiento monitorizados por la plat
Blockchain technology has emerged as a necessity for the decentralization of payment methods and transactions, but it has brought with it many properties of distributed systems that have made it a crucial technology for overcoming some of society's challenges, especially in the context of decentralizing services, transparency of information, availability, and security. Its architecture and communication methods, although possessing some complex nuances to understand, particularly for the lay audience in the field of distributed systems, protocols, and computer networks. In this article, we will explore some topics of distributed systems related to blockchain technology.
In previous works we presented a novel multiparametric sensor to simultaneously measure the refractive index and the speed of sound in a liquid by means of the acousto-optic effect. The sensor requires an illumination system that expands the laser beam so that it interacts effectively with the liquid under study. Also, a projection system is necessary in order to adequately capture the diffraction pattern at the cell exit. In this article, we present the optimization of the sensor illumination and projection system using the optical design computational tool Zemax OpticStudio. The considered range of refractive indices of the liquid samples is between 1.33 and 1.51. The results show a correct expansion of the incident beam on the cell, and the projection system achieves an image with very few aberrations and an adequate angular separation between the maxima of the diffraction pattern. Based on the resulting dimensions of the sensor after optimizing the illumination and projection system, we confirm that it is compact and portable.
In this work, I present an automatic system for the evaluation of closed-type exercises in physics at the high school level or in the first year of a degree where physics is a mandatory course. It is expected that this will allow students or teachers with access to a computer or mobile device to get into a repository of exercises for different areas of physics and practice them using true or false or multiple choice options. This system is expected to solve the problem that many students do not have enough skills to face this type of evaluation, since they have not had the opportunity to work with closed-type exams that are graded by computers and are used by educational institutions such as evaluation tools. This material can also benefit teachers by providing them with an alternative form of evaluation to the traditional form. To use this system, computer programming skills are not required, since it consists of a program where the answers are selected and the program provides a numerical score, a brief interpretation, and the solutions to every exercise, which will allow students to compare their answers with the solutions.
The semantics of trivalent truth tables for the paraconsistent logic system P1, is characterized by a visual inference tool called trivalent semantic forcing trees. Given a formula, with this tool the nodes of the corresponding tree are marked, and it is determined whether the formula is valid or not. In case the formula is invalid, the assignment of truth values that refutes it is determined by the marks of the leaves in its forcing tree.
En este artículo se estudió el trabajo matemático personal de 15 profesores en formación inicial, en primer año de una universidad pública en Chile, a partir de dos tareas sobre números complejos. Estas tareas se plantearon en un CAA (Moodlle - Wiris) y se propuso resolverlas utilizando distintos CAS, como GeoGebra, Symbolab, Photomath y Wolfram Alpha entre otros. Se observaron dificultades y potencialidades en el trabajo matemático de los estudiantes. En las dificultades, se observó que los estudiantes tenían problemas para interpretar la información de los CAS y del feedback del CAA debido a que los conocimientos matemáticos previos no eran lo suficientemente solidos para hacerlo. En las potencialidades, se observó que distintas características de la tarea, junto con la articulación de dos o más artefactos permitió a los estudiantes darle significado a los objetos matemáticos involucrados. In this article we studied the personal mathematical work of 15 teachers in initial training, in the first year of a public university in Chile, based on two tasks on complex numbers. These tasks were presented in a CAA (Moodlle - Wiris) and it was proposed to solve them using different CAS, su
En este trabajo, se obtiene una expresión numérica para calcular el espectro de emisión de un sistema microcavidad-punto cuántico usando una teoría de campo medio en el formalismo de la matriz densidad. El sistema modelado es un micropilar semiconductor que contiene un único punto cuántico en el interior de la microcavidad, este sistema presenta pérdida de fotones a través de los espejos de la cavidad y bombeo de excitones al punto cuántico. Obtenemos una ecuación maestra de campo medio no lineal que nos permite calcular el espectro de emisión. In this work, we deduce a numerical expression to calculate the emission spectrum for a quantum dot-microcavity system, using a mean field theory in the density matrix formalism. The open system modeled, is a typical semiconductor micropillar that contains a single quantum dot inside a microcavity, this system presents leakage of photons through cavity mirrors and pumping of excitons to the quantum dot. We obtain a mean field nonlinear master equation that allow us calculate the emission spectrum.
Environmental pollution is a factor that represents a significant health risk. In El Salvador, The entity in charge of monitoring air quality is the ministry of Environment and Natural Resources, currently said ministry only has 3 stations for monitoring air quality throughout the territory of the country. The main objective of this work was the application of internet of things techniques in the design and implementation of a station of remote particulate pollution monitoring in the surrounding air. As well as setting up an Internet of Things (IoT) platform for the deployment of the data collected by the remote station. The development methodology of this research was based on the Model of Reference Architecture for IoT systems, which has as based on the development of system prototypes based on the correct choice of components available and suitable for the specific environment or application. For this case, they were used as inputs for the electronic hardware and Esp32 controller together with a Wemos-Lolin development board together with a sensor of particulate matter contamination PMS5003; by the side of software for the IoT platform was implemented a storage system, graphics
Neste segundo artigo sobre sistemas Hamiltonianos, apresentamos o metodo da explosao para a determinacao da natureza de pontos fixos (pontos de equilibrio degenerados. Aplicamos o metodo a dois modelos hamiltonianos com um e dois graus de liberdade, respectivamente. Primeiramente, analisamos um sistema formado por um pendulo simples submetido a um torque externo constante T. Em seguida, consideramos um sistema formado por um pendulo duplo com segmentos de comprimentos e massas iguais, tambem submetidos a torques externos constantes e nao nulos. A presenca de pontos de equilibrio degenerados nos casos dos pendulos simples e duplo ocorre para certos valores dos torques externos. In this second article on Hamiltonian systems, we present the blow-up method for the determination of the nature of degenerate fixed points (equilibrium points). We apply the method to two hamiltonian models with one and two degrees of freedom, respectively. Firstly we study a system formed by a simple pendulum submitted to a constant external torque T. Then we consider a system formed by a double pendulum of segments with equal lengths and masses, also submitted to non-vanishing constant external torques. Th
The internet development and the consequent change in communication forms have strengthened as online social networks, increasing the involvement of people with this media and making consumers of products and services, which are more informed and demanding for companies. This context has given rise to Social CRM, which can be put into practice by means of electronic word of mouth platforms, enable web sharing of comments and evaluations about companies, defining their reputation. However, most electronic word of mouth platforms do not provide information for extracting your information, making it difficult to analyze the data. To satisfy this gap, a system was developed to capture and automatically summarize the data of the companies registered in the eBit platform.
Throughout this project, we have attempted to develop an automatic evaluator that determines whether Basque language compositions meet the C1 level. To achieve our goal, we obtained 10,000 transcribed compositions through an agreement between HABE and HiTZ to train our system. We have developed different techniques to avoid data scarcity and system overfitting: EDA, SCL and regulation; We have also conducted tests with different Language Models to analyze their behavior. Finally, we have also performed analyses of different system behaviors to measure model calibration and the impact of artifacts. -- Proiektu honetan zehar euskarazko idazlanek C1 maila duten edo ez zehazten duen ebaluatzaile automatiko bat garatzen saiatu gara. Gure helburua betetzeko HABE eta HiTZ arteko hitzarmenaren bitartez 10.000 transkribatutako idazlan eskuratu ditugu gure sistema entrenatzeko. Datu eskasia eta sistemaren gaindoitzea ekiditeko teknika ezberdinak landu ditugu: EDA, SCL eta erregulazioa; Hizkuntza Eredu ezberdinekin ere probak egin ditugu duten portaera aztertzeko. Azkenik, sistema ezberdinen portaeren analisiak ere egin ditugu, ereduen kalibrazioa eta artefaktuen eragina neurtzeko.
This paper presents a comprehensive governance framework for AI systems in the legal sector, designed to ensure verifiable compliance with the EU AI Act. The framework integrates a normative mapping of the regulation to technical controls, a forensic architecture for RAG/LLM systems, and an evaluation system with metrics weighted by legal risk. As a primary contribution, we present rag-forense, an open-source implementation of the framework, accompanied by an experimental protocol to demonstrate compliance. -- Este artículo presenta un marco integral de gobernanza para sistemas de IA en el sector legal, diseñado para garantizar el cumplimiento verificable del Reglamento de IA de la UE (AI Act). El marco integra una cartografía normativa de la ley a controles técnicos, una arquitectura forense para sistemas RAG/LLM y un sistema de evaluación con métricas ponderadas por el riesgo jurídico. Como principal contribución, se presenta rag-forense, una implementación de código abierto del marco, acompañada de un protocolo experimental para demostrar la conformidad.
This paper presents IDEIA (Intelligent Engine for Editorial Ideation and Assistance), a generative AI-powered system designed to optimize the journalistic ideation process by combining real-time trend analysis with automated content suggestion. Developed in collaboration with the Sistema Jornal do Commercio de Comunicação (SJCC), the largest media conglomerate in Brazil's North and Northeast regions, IDEIA integrates the Google Trends API for data-driven topic monitoring and the Google Gemini API for the generation of context-aware headlines and summaries. The system adopts a modular architecture based on Node.js, React, and PostgreSQL, supported by Docker containerization and a CI/CD pipeline using GitHub Actions and Vercel. Empirical results demonstrate a significant reduction in the time and cognitive effort required for editorial planning, with reported gains of up to 70\% in the content ideation stage. This work contributes to the field of computational journalism by showcasing how intelligent automation can enhance productivity while maintaining editorial quality. It also discusses the technical and ethical implications of incorporating generative models into newsroom workflo
The computational generation of poems is a complex task, which involves several sound, prosodic and rhythmic resources. In this work we present PROPOE 2, with the extension of structural and rhythmic possibilities compared to the original system, generating poems from metered sentences extracted from the prose of Brazilian literature, with multiple rhythmic assembly criteria. These advances allow for a more coherent exploration of rhythms and sound effects for the poem. Results of poems generated by the system are demonstrated, with variations in parameters to exemplify generation and evaluation using various criteria. A geração computacional de poemas é uma tarefa complexa, que envolve diversos recursos sonoros, prosódicos e rítmicos. Neste trabalho apresentamos PROPOE 2, com a ampliação de possibilidades estruturais e rítmicas em relação ao sistema original, gerando poemas a partir de sentenças metrificadas extraídas da prosa da literatura brasileira, com múltiplos critérios rítmicos de montagem. Esses avanços permitem uma exploração mais coerente de ritmos e efeitos sonoros para o poema. Resultados de poemas gerados pelo sistema são demonstrados, com variações de parâmetros para
AI-FLARES (Artificial Intelligence for the Analysis of Solar Flares Data) is a research project funded by the Agenzia Spaziale Italiana and by the Istituto Nazionale di Astrofisica within the framework of the ``Attività di Studio per la Comunità Scientifica Nazionale Sole, Sistema Solare ed Esopianeti'' program. The topic addressed by this project was the development and use of computational methods for the analysis of remote sensing space data associated to solar flare emission. This paper overviews the main results obtained by the project, with specific focus on solar flare forecasting, reconstruction of morphologies of the flaring sources, and interpretation of acceleration mechanisms triggered by solar flares.