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Introducción a la energía eólica marina
No full textEsta unidad introduce la energía eólica marina mediante tres recursos audiovisuales: conceptos básicos, climatología marina y tecnologías de anclaje y plataformas flotantes. Presenta fundamentos, condiciones ambientales y ejemplos de proyectos singulares, ofreciendo una visión general para comprender el contexto técnico y ambiental de la generación eléctrica offshore
Pedestrian mobility papers [Dataset]
No full textThe dataset comprises two files:
File DOIS: A database extracted and refined from the results of the search strategy defined in the associated paper and conducted in the Web of Science.
File KEYWORDS: Contains the keywords corresponding to the papers included in the file DOIS.The dataset includes the academic papers reviewed and the corresponding keywords extracted from each paper, which were used in the bibliometric analysis and literature review of a research study on pedestrians in urban design
What is cement?
No full textEducational resource in English explaining what cement is, its role as a binder in concrete and mortar, and the Portland cement production process from calcination to clinker and gypsum grinding. It includes reading comprehension with ten MCQs, pronunciation of keywords with audio, sentence completion, speaking prompts, a video-based watching activity on sustainable materials, grammar practice on gerunds and infinitives, and a debate practice session
Mineral deposit vs ore deposit
No full textThis educational resource clarifies the distinction between mineral deposits and ore deposits, emphasizing profitability, concentration factors, reserves, and ore grade. It explains surface and underground mining methods, and post-mining processing including separation of valuable minerals and management of waste rock and tailings. The unit includes reading comprehension, vocabulary with pronunciations, interactive questions, videos, speaking prompts, grammar practice on relative clauses, and quizzes to reinforce understanding of mining concepts and economic considerations
MdG-08-Plan de gestión de datos de investigación
No full textUnidad didáctica que introduce la gestión de datos de investigación y guía al PDI y PTGAS en la elaboración del Plan de Gestión de Datos (PGD/DMP). Explica el ciclo de vida de los datos, la crisis de reproducibilidad y los principios FAIR. Incluye herramientas y plantillas (DMPonline, DSWizard, Argos), recomendaciones prácticas, criterios de evaluación del PGD y actividades de autoevaluación. Orientada a mejorar la calidad, seguridad, interoperabilidad y reutilización de los datos
Contribution to the study and development of intrusion and threat detection systems in IoT
Full text link[SPA] El crecimiento del IoT ha expandido exponencialmente la superficie de ataque generando amenazas que los IDS tradicionales no abordan eficazmente por sus limitaciones de adaptación, alto coste de mantenimiento y falta de generalización ante comportamientos no vistos. Esta tesis propone un IDS inteligente para IoT basado en arquitectura multietapa DNN¿XGBoost, diseñado para operar con datos de flujo sin inspección de contenido, optimizado para dispositivos de borde con recursos limitados. Integra: (1) DNNs especializadas por dataset (UNSW-NB15, CIC-IDS2017, etc.), (2) stacking con calibración (Platt scaling/isotonic), (3) clasificador XGBoost final. La investigación incluye: una SLR sobre 250+ estudios identificando carencias metodológicas (dependencia de un solo dataset, métricas inadecuadas, falta de validación en producción); un pipeline reproducible de preprocesado y validación con codificación, normalización y balanceo (submuestreo, SMOTE+Tomek Links); evolución desde DNN base con K-folds hasta arquitectura multietapa evaluada en múltiples datasets IoT, demostrando mejoras en estabilidad, precisión y generalización entre dominios, con robustez ante clases minoritarias e interpretabilidad sin penalizar latencia. El sistema se implementa en Jetson Nano y WSL, midiendo comportamiento extremo a extremo (captura de tráfico, extracción de flujos, inferencia casi real) y comparándolo con Suricata y Snort. Los resultados confirman viabilidad operativa, baja latencia y equilibrio detección/falsos positivos en carga variable y tráfico cifrado. Un model store versionado garantiza reproducibilidad conservando artefactos de entrenamiento, escaladores, umbrales y semillas. La tesis aporta desde la revisión crítica hasta la validación en entornos reales, resultando en un IDS ligero, preciso y adaptable que combina rigor metodológico con eficiencia práctica. Las líneas futuras incluyen adaptación ante deriva de tráfico, aprendizaje federado e integración de mecanismos explicables para auditoría.[ENG] The growth of IoT has exponentially expanded the attack surface, generating threats that traditional IDS do not address effectively due to their limitations in adaptation, high maintenance costs, and lack of generalization when facing unseen behaviors. This thesis proposes an intelligent IDS for IoT based on a multi-stage DNN¿XGBoost architecture, designed to operate with flow data without content inspection, optimized for edge devices with limited resources. It integrates: (1) specialized DNNs per dataset (UNSW-NB15, CIC-IDS2017, etc.), (2) stacking with calibration (Platt scaling/isotonic), (3) final XGBoost classifier. The research includes: an SLR on 250+ studies identifying methodological gaps (single dataset dependency, inadequate metrics, lack of production validation); a reproducible preprocessing and validation pipeline with encoding, normalization, and balancing (undersampling, SMOTE+Tomek Links); evolution from baseline DNN with K-folds to multi-stage architecture evaluated on multiple IoT datasets, demonstrating improvements in stability, accuracy, and cross-domain generalization, with robustness against minority classes and interpretability without penalizing latency. The system is implemented on Jetson Nano and WSL, measuring end-to-end behavior (traffic capture, flow extraction, near-real-time inference) and comparing it with Suricata and Snort. The results confirm operational viability, low latency, and detection/false positive balance under variable load and encrypted traffic. A versioned model store ensures reproducibility by preserving training artifacts, scalers, thresholds, and seeds. The thesis contributes from critical review to validation in real environments, resulting in a lightweight, accurate, and adaptable IDS that combines methodological rigor with practical efficiency. Future directions include adaptation to traffic drift, federated learning, and integration of explainable mechanisms for auditing.Esta tesis forma parte del proyecto TRUST Lab, Laboratorio de I+D+i en Ciberseguridad, Privacidad y Comunicaciones Seguras, financiado por la Unión Europea NextGeneration-EU, el Plan de Recuperación, Transformación y Resiliencia, a través de INCIBE.Escuela Internacional de DoctoradoUniversidad Politécnica de CartagenaTecnologías de la Información y Comunicacione
Performing expertise and emotion in AI risk discourse
Full text linkThis article examines how public messages about artificial intelligence (AI) are shaped through multimodal communication in TED Talks. Focusing on two 2023 talks on AI risks by Sasha Luccioni and Gary Marcus, the study explores how the speakers use language, visuals, and bodily performance to build credibility and engage with global audiences. Using Multimodal Discourse Analysis, we identify key “rich points”, moments where gesture, imagery, voice, and narrative work together to frame AI as both a technological and a social risk. The comparative analysis reveals that the two speakers rely on different persuasive strategies: Luccioni uses an inclusive and emotionally engaging style to encourage identification and empathy, whereas Marcus adopts a more authoritative stance that emphasises expertise and institutional responsibility. The findings demonstrate how ethos and pathos are not fixed rhetorical tools but are constructed through interaction and multimodal resources in digitally mediated spaces. By conceptualising TED Talks as spaces where technical knowledge is turned into more accessible language, this study advances research on persuasion, how expertise is built, and how multimodal communication shapes public understanding of emerging technologies
Agent-based paradigm for the self-configuration of a conceptual mechanical assembly modeling application in virtual reality
Full text linkThe immersive, multisensory experiences offered by virtual reality have been transforma tive across multiple disciplines, enhancing practical and theoretical skills while increasing user motivation and learning. On the other hand, multi-agent systems have proven to be effective in facilitating the expansion and modularity of computer systems. This paper presents an application developed in a virtual reality environment based on multi-agent systems for the conceptual design of mechanical assemblies from primitives. As a main novelty, the primitives can be defined by the user of the application from a set of models and images, and an Excel document, without the need for programming knowledge, taking advantage of the possibilities offered by multi-agent systems. In addition, for each primi tive, it is possible to define a set of geometric and dimensional modifications, as well as a set of position relations with respect to other primitives to generate mechanical assemblies
Design and development of underwater acoustic communication systems based on smart antenna technologies
Full text link[SPA] Esta Tesis Doctoral aborda el problema del direccionamiento acústico eficiente en medios complejos, como el aire y el agua, proponiendo como solución el análisis y desarrollo de antenas acústicas de ondas de fuga (ALWA) que permiten escanear el espacio angular mediante la variación de frecuencia, sin necesidad de emplear múltiples elementos activos ni mecanismos móviles. Frente a los sistemas tradicionales, que requieren configuraciones multicanal y elevado procesamiento, las ALWAs presentan una alternativa más compacta, eficiente y de bajo consumo. A lo largo de esta tesis se diseñan y simulan diferentes configuraciones de antenas, tanto uniformes como moduladas, empleando herramientas numéricas basadas en el Método de Elementos Finitos (FEM). Asimismo, se propone un nuevo diseño funcional en entorno subacuático, compuesto por una estructura axisimétrica con guías de titanio y anillos de bismuto flexibles, que logra un acoplamiento efectivo entre la estructura y el medio. Los resultados obtenidos demuestran la capacidad de estos dispositivos para generar radiación direccional controlada, validando su potencial para aplicaciones emergentes como el posicionamiento, la comunicación submarina o el desarrollo de sistemas acústicos compactos y autónomos.[ENG] This doctoral thesis addresses the problem of efficient acoustic steering in complex media, such as air and water, proposing as a solution the analysis and development of acoustic leaky wave antennas (ALWAs) that allow angular space to be scanned by varying the frequency, without the need for multiple active elements or moving mechanisms. Compared to traditional systems, which require multi-channel configurations and high processing power, ALWAs offer a more compact, efficient, and low-power alternative. Throughout the work, different antenna configurations, both uniform and modulated, are designed and simulated using numerical tools based on the Finite Element Method (FEM). A new functional design for underwater environments is also proposed, consisting of an axisymmetric structure with titanium guides and bismuth rings, which achieves effective coupling between the structure and the medium. The results obtained demonstrate the ability of these devices to generate controlled directional radiation, validating their potential for emerging applications such as positioning, underwater communication, or the development of compact and autonomous acoustic systems.Escuela Internacional de DoctoradoUniversidad Politécnica de CartagenaTecnologías de la Información y Comunicacione
Generic platform development for online product sales
Full text linkEste Trabajo Fin de Grado tiene como objetivo el desarrollo de una plataforma web genérica para la venta online de productos, orientada a facilitar el comercio electrónico entre productores y compradores. El sistema contará con una arquitectura modular basada en un backend desarrollado a medida, así como dos frontends diferenciados: uno para el usuario comprador y otro para el productor. Además, se integrarán servicios externos de pago y transporte para ofrecer una solución completa y funcional. La plataforma se plantea como adaptable a distintos tipos de productos, garantizando así su reutilización en diferentes contextos comerciales.Escuela Técnica Superior de Ingeniería de TelecomunicaciónUniversidad Politécnica de Cartagen