http://hdl.handle.net/10366/134811 Tue, 21 Apr 2026 12:58:31 GMT 2026-04-21T12:58:31Z http://hdl.handle.net/10366/157255 This work focuses on the design and validation of a CBR system for efficient face recognition under partial occlusion conditions. The proposed CBR system is based on a classical distance-based classification method, modified to increase its robustness to partial occlusion. This is achieved by using a novel dissimilarity function which discards features coming from occluded facial regions. In addition, we explore the integration of an efficient dimensionality reduction method into the proposed framework to reduce computational cost. We present experimental results showing that the proposed CBR system outperforms classical methods of similar computational requirements in the task of face recognition under partial occlusion. Sun, 01 Jan 2017 00:00:00 GMT http://hdl.handle.net/10366/157255 2017-01-01T00:00:00Z http://hdl.handle.net/10366/157254 Nowadays, security forces are challenged by a new type of terrorist propaganda which occurs in public social networks and targets vulnerable individuals. The current volume of online radicalization messages has rendered manual monitoring approaches unfeasible, and effective countermeasures can only be adopted through early detection by automatized tools. Some approaches focus on mining the information provided by social users in the form of interactions and textual content. However, radical users also tend to exhibit distinctive iconography in their profile images. In this work, we propose the use of local image descriptors over profile images to aid the detection and monitoring of online radicalization processes. In addition, we complement this approach with an interaction-based formula for risk assessment, so candidate profiles can be selected for image-analysis based on their interaction with confirmed radical profiles. These techniques are combined in the context of a Case-Based Reasoning framework which, together with the feedback provided by the end-user, enables a continuous monitoring of the activity of radical users and eases the discovery of new profiles with a radicalization agenda. Mon, 01 Jan 2018 00:00:00 GMT http://hdl.handle.net/10366/157254 2018-01-01T00:00:00Z http://hdl.handle.net/10366/157241 [EN]This work focuses on the design and validation of a CBR system for efficient face recognition under partial occlusion conditions. The proposed CBR system is based on a classical distance-based classification method, modified to increase its robustness to partial occlusion. This is achieved by using a novel dissimilarity function which discards features coming from occluded facial regions. In addition, we explore the integration of an efficient dimensionality reduction method into the proposed framework to reduce computational cost. We present experimental results showing that the proposed CBR system outperforms classical methods of similar computational requirements in the task of face recognition under partial occlusion. Thu, 19 Jul 2018 00:00:00 GMT http://hdl.handle.net/10366/157241 2018-07-19T00:00:00Z http://hdl.handle.net/10366/156521 [EN]This article presents PANGEA, an agent platform to develop open multiagent systems, specifically those including organizational aspects such as virtual agent organizations. The platform allows the integral management of organizations and offers tools to the end user. Additionally, it includes a communication protocol based on the IRC standard, which facilitates implementation and remains robust even with a large number of connections. The introduction of a CommunicationAgent and a Sniffer make it possible to offer web services for the distributed control of interaction. Sun, 01 Jan 2012 00:00:00 GMT http://hdl.handle.net/10366/156521 2012-01-01T00:00:00Z http://hdl.handle.net/10366/152094 [ES] El taller sobre Tecnologías Disruptivas de la Información y la Comunicación para la Innovación y la Transformación Digital, organizado en el ámbito del proyecto DISRUPTIVE (disruptive.usal.es) y celebrado el 12 de septiembre de 2022 en Valladolid, tiene como objetivo debatir sobre los problemas, retos y beneficios del uso de tecnologías digitales disruptivas, a saber, Internet de las Cosas, Big data, computación en la nube, sistemas multiagente, aprendizaje automático, realidad virtual y aumentada y robótica colaborativa, para apoyar la transformación digital en curso en la sociedad. El programa del taller incluyó 6 papers técnicos aceptados, 2 charlas de invitados y una sesión de networking. Este volumen contiene 6 de las ponencias presentadas en el taller sobre Tecnologías Disruptivas de la Información y la Comunicación para la Innovación y la Transformación Digital. Este taller fue organizado por ICE (Instituto para la Competitividad Empresarial de Castilla y León), UVa (Universidad de Valladolid) y apoyado principalmente por el Fondo Europeo de Desarrollo Regional (FEDER) a través del Programa Interreg España-Portugal V-A (POCTEP) bajo la subvención 0677_DISRUPTIVE_2_E (Dinamización de los Digital Innovation Hubs dentro de la región PocTep para el impulso de las TIC disruptivas y de última generación a través de la cooperación en la región transfronteriza).; [EN] The workshop on Disruptive Information and Communication Technologies for Innovation and Digital transformation, organized under the scope of the DISRUPTIVE project (disruptive.usal.es) and held on September 12, 2022 in Valladolid, aims to discuss problems, challenges and benefits of using disruptive digital technologies, namely Internet of Things, Big data, cloud computing, multi-agent systems, machine learning, virtual and augmented reality, and collaborative robotics, to support the on-going digital transformation in society. The main topics included: Intelligent Manufacturing Systems; Industry 4.0 and digital transformation; Internet of Things; Cyber-security; Collaborative and intelligent robotics; Multi-Agent Systems; Industrial Cyber-Physical Systems; Virtualization and digital twins; Predictive maintenance; Virtual and augmented reality, Big Data and advanced data analytics; Edge and cloud Computing; Digital Transformation. The workshop program included 6 accepted technical papers, 2 invited talks and a networking session. This volume contains 6 of the papers presented at the Workshop on Disruptive Information and Communication Technologies for Innovation and Digital Transformation. This workshop was organized by ICE (Institute for Business Competitiveness of Castilla y León), UVa (University of Valladolid) and mainly supported by the European Regional Development Fund (ERDF) through the Interreg Spain-Portugal V-A Program (POCTEP) under grant 0677_DISRUPTIVE_2_E (Intensifying the activity of Digital Innovation Hubs within the PocTep region to boost the development of disruptive and last generation ICTs through cross-border cooperation). Sun, 01 Jan 2023 00:00:00 GMT http://hdl.handle.net/10366/152094 2023-01-01T00:00:00Z http://hdl.handle.net/10366/149413 [ES] El intercambio de ideas entre científicos y técnicos, tanto del ámbito académico como empresarial, es fundamental para facilitar el desarrollo de sistemas que puedan satisfacer las demandas de la sociedad actual. La transferencia de tecnología en este campo sigue siendo un reto y, por ello, este tipo de aportaciones se consideran de forma destacada en esta recopilación. Este libro trae debates y publicaciones sobre el desarrollo de técnicas innovadoras de problemas complejos de IoT. El programa técnico se centra tanto en la alta calidad como en la diversidad, con contribuciones en áreas de investigación bien establecidas y en evolución. Específicamente, 10 capítulos fueron presentados a este libro. Los editores alentaron y agradecieron particularmente las contribuciones sobre IA y computación distribuida en aplicaciones de IoT. Los editores agradecen especialmente el apoyo financiero del proyecto “Virtual-Ledgers-Tecnologías DLT/Blockchain y Cripto-IOT sobre organizaciones virtuales de agentes ligeros y su aplicación en la eficiencia en el transporte de última milla”, ID SA267P18, financiado por Junta de Castilla y León y fondos FEDER.; [EN] The exchange of ideas between scientists and technicians, from both academic and business areas, is essential in order to ease the development of systems which can meet the demands of today’s society. Technology transfer in this field is still a challenge and, for that reason, this type of contributions are notably considered in this compilation. This book brings in discussions and publications concerning the development of innovative techniques of IoT complex problems. The technical program focuses both on high quality and diversity, with contributions in well-established and evolving areas of research. Specifically, 10 chapters were submitted to this book. The editors particularly encouraged and welcomed contributions on AI and distributed computing in IoT applications. The editors are specially grateful for the funding supporting by the project “Virtual-Ledgers-Tecnologías DLT/Blockchain y Cripto-IOT sobre organizaciones virtuales de agentes ligeros y su aplicación en la eficiencia en el transporte de última milla”, ID SA267P18, financed by regional government of Castilla y León and FEDER funds. Sat, 01 Jan 2022 00:00:00 GMT http://hdl.handle.net/10366/149413 2022-01-01T00:00:00Z http://hdl.handle.net/10366/149117 [ES] El taller sobre tecnologías de información y comunicación disruptivas para la innovación y la transformación digital, organizado bajo el alcance del proyecto disruptiva, tiene como objetivo discutir los problemas, desafíos y beneficios del uso de tecnologías digitales disruptivas, a saber, Internet de las cosas, Big data, computación en la nube, sistemas multi-agentes, aprendizaje automático, realidad virtual y aumentada, y robótica colaborativa, para apoyar la transformación digital en curso en la sociedad Temas Intelligent Manufacturing Systems Industry 4.0 and digital transformation Internet of Things Cyber-security Collaborative and intelligent robotics Multi-Agent Systems Industrial Cyber-Physical Systems Virtualization and digital twins Predictive maintenance Virtual and augmented reality Big Data and advanced data analytics Edge and cloud computing; [EN] The workshop on Disruptive Information and Communication Technologies for Innovation and Digital transformation, organized under the scope of the Disruptive project, aims to discuss problems, challenges and benefits of using disruptive digital technologies, namely Internet of Things, Big data, cloud computing, multi-agent systems, machine learning, virtual and augmented reality, and collaborative robotics, to support the on-going digital transformation in society Topics Intelligent Manufacturing Systems Industry 4.0 and digital transformation Internet of Things Cyber-security Collaborative and intelligent robotics Multi-Agent Systems Industrial Cyber-Physical Systems Virtualization and digital twins Predictive maintenance Virtual and augmented reality Big Data and advanced data analytics Edge and cloud computing Sat, 01 Jan 2022 00:00:00 GMT http://hdl.handle.net/10366/149117 2022-01-01T00:00:00Z http://hdl.handle.net/10366/135168 This multidisciplinary study presents the application of two well known soft computing methods – flexible neural trees, and evolutionary fuzzy rules – for the prediction of the error parameter between real dental milling time and forecast given by the dental milling machine. In this study a real data set obtained by a dynamic machining center with five axes simultaneously is analyzed to empirically test the novel system in order to optimize the time error. Tue, 01 Jan 2013 00:00:00 GMT http://hdl.handle.net/10366/135168 2013-01-01T00:00:00Z http://hdl.handle.net/10366/135167 This paper presents a system composed by a set of tools that facilitate the work of disabled people in their work environment. The PANGEA platform was used to build the base architecture of the system, where each tool is designed as a collection of intelligent agents that offer the services as Web-services. Moreover, all the system is implemented as an Open MAS. In this paper two tools are presented in detail, the proximity detection tool and the translator tool for people with hearing impairments. Tue, 01 Jan 2013 00:00:00 GMT http://hdl.handle.net/10366/135167 2013-01-01T00:00:00Z http://hdl.handle.net/10366/135166 Este artículo presenta el sistema “El Mayor Online”, el cual se divide principalmente en dos partes, una es la telemonitorización del estado de un anciano y la segunda es la identificación y localización del mismo, tanto en una residencia como en su hogar. La plataforma está compuesta principalmente por un centro de monitorización remota, una red de sensores y actuadores inalámbricos desplegada en el hogar o habitación de cada anciano y una red de comunicaciones que conecta todos los componentes de la plataforma. Además, el sistema cuenta con un sistema de alarmas desarrollado con un motor de reglas que permite detectar cualquier desviación o situación de alarma en la rutina diaria y analizar los datos obtenidos Sun, 01 Sep 2013 00:00:00 GMT http://hdl.handle.net/10366/135166 2013-09-01T00:00:00Z http://hdl.handle.net/10366/135165 This paper presents an intelligent multi-agent system aimed at improving healthcare and assistance to elderly and dependent people in geriatric residences and their homes. The system is based on the PANGEA and HERA platforms and integrates a set of autonomous reactive and deliberative agents designed to support the carers’ activities and to guarantee that the patients are given the right care. The system makes use of Wireless Sensor Networks and a Real-Time Locating System for providing autonomous responses according to the environment status. A case study where the multi-agent system has been tested in several real environments is presented. Tue, 01 Jan 2013 00:00:00 GMT http://hdl.handle.net/10366/135165 2013-01-01T00:00:00Z http://hdl.handle.net/10366/135164 Ambient Intelligence (AmI) promotes the integration of Information and Communication Technologies (ICT) in daily life in order to ease the execution of everyday tasks. In this sense, education becomes a field where AmI can improve the learning process by means of context-aware technologies. However, it is necessary to develop new tools that can be adapted to a wide range of technologies and application scenarios. Here is where Agent Technology can demonstrate its potential. This paper presents CAFCLA, a multi-agent framework that allows developing learning applications based on the pedagogical CSCL (Computer Supported Collaborative Learning) approach and the Ambient Intelligence paradigm. CAFCLA integrates different context-aware technologies, so that learning applications designed, developed and deployed upon it are dynamic, adaptive and easy to use by users such as students and teachers. Tue, 01 Jan 2013 00:00:00 GMT http://hdl.handle.net/10366/135164 2013-01-01T00:00:00Z http://hdl.handle.net/10366/135163 The new model of labor relations established by the Spanish Royal Decree-Law (3/2012) on urgent measures for labor reform has among its objectives the promotion of inclusion in the labor market of more advantaged groups, including the people with disabilities. This paper presents a cloud-based platform aimed at obtaining an on-line workspace to provide facilities to inform, train and evaluate the competencies of disabled people, and more specifically those skills required to facilitate the labor integration of individuals with auditory disabilities. This platform presented in this paper has been tested in a real environment and the results obtained are promising. Tue, 01 Jan 2013 00:00:00 GMT http://hdl.handle.net/10366/135163 2013-01-01T00:00:00Z http://hdl.handle.net/10366/135162 MOVICAB-IDS has been previously proposed as a hybrid intelligent Intrusion Detection System (IDS). This on-going research aims to be one step towards adding automatic response to this visualization-based IDS by means of clustering techniques. As a sample case of study for the proposed clustering extension, it has been applied to the identification of different network scans. The aim is checking whether clustering and projection techniques could be compatible and consequently applied to a continuous network flow for intrusion detection. A comprehensive experimental study has been carried out on previously generated real-life data sets. Empirical results suggest that projection and clustering techniques could work in unison to enhance MOVICAB-IDS. Tue, 01 Jan 2013 00:00:00 GMT http://hdl.handle.net/10366/135162 2013-01-01T00:00:00Z http://hdl.handle.net/10366/135161 In this paper, an Intelligent Tutoring System (ITS) for teaching computational logic called SIAL is described. Several basic topics in computational logic are covered. The more complex part in SIAL is the module in charge of the diagnosis, which performs model-based diagnosis although sometimes, a knowledge-based (expertise) model is necessary in order to yield a more accurate diagnosis. The inherent complexity of the ITS is approached using a Multi-Agent System (MAS). The classical approach in ITS, which divides them into four independent modules, is adapted to a MAS creating an agent for each module and other agent for any other subsystem needed. The results obtained from an experiment of usage of SIAL are presented. Tue, 01 Jan 2013 00:00:00 GMT http://hdl.handle.net/10366/135161 2013-01-01T00:00:00Z http://hdl.handle.net/10366/135160 The present work is a study of the influence of the preprocessing stage on the classification performance of a face recognition analysis. To carry out this task have made tests in a full FRS, evaluating each of its four stages and including several advanced alternatives in preprocessing, such as illumination normalization through the Discrete Cosine Transformation or alignment by Enhanced Correlation Coefficient, among others. The main goal of this work is determining how those different preprocessing alternatives interact with each other and in wich degree they affect the overall Facial Recognition Systems (FRS). The tests make a special emphasis in using images that could have been obtained from a real environment, rather than at a lab environment, with the difficulties that this brings for facial recognicion techniques. Sun, 01 Sep 2013 00:00:00 GMT http://hdl.handle.net/10366/135160 2013-09-01T00:00:00Z