Fuentes Fernández, Rubén

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First Name
Last Name
Fuentes Fernández
Universidad Complutense de Madrid
Faculty / Institute
Ingeniería del Software e Inteligencia Artificial
Lenguajes y Sistemas Informáticos
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Now showing 1 - 7 of 7
  • Publication
    GesTie - Gestiona tu tiempo (Método de aprendizaje de gestión del tiempo y autonomía organizativa en múltiples proyectos)
    (2019-07-18) Fuentes Fernández, Rubén; Guijarro Mata-García, María; Gómez Albarrán, María de las Mercedes; Navarro Martín, Antonio; Santos Peña, Matilde; Muñoz Pérez, Javier; Zardaín Alvaré, Lourdes; Ponce Palacios, Gianpierre Edisson
    GesTie persigue dotar a los estudiantes de competencias para la organización y gestión del tiempo en varios proyectos simultáneos. Estas competencias constituyen un recurso básico para su vida profesional y también la personal. Un proyecto es cualquier trabajo con múltiples partes, extendido en el tiempo, e individual o de grupo. Ejemplos típicos son algunas de las prácticas de los estudiantes. GesTie usa estos proyectos para hacer un seguimiento de la actividad de los estudiantes y ofrecerles pautas de trabajo basadas en la literatura. Dicho seguimiento se basa en el análisis de los datos que los alumnos generan en las herramientas software institucionales de los cursos. Para ello el proyecto emplea técnicas de análisis del aprendizaje y minería de datos, junto con recomendaciones de la literatura de trabajo en grupo y proyectos.
  • Publication
    Analysis of Intelligent Transportation Systems Using Model-Driven Simulations
    (MDPI, 2015-06-15) Fernández Isabel, Alberto; Fuentes Fernández, Rubén
    : Intelligent Transportation Systems (ITSs) integrate information, sensor, control, and communication technologies to provide transport related services. Their users range from everyday commuters to policy makers and urban planners. Given the complexity of these systems and their environment, their study in real settings is frequently unfeasible. Simulations help to address this problem, but present their own issues: there can be unintended mistakes in the transition from models to code; their platforms frequently bias modeling; and it is difficult to compare works that use different models and tools. In order to overcome these problems, this paper proposes a framework for a model-driven development of these simulations. It is based on a specific modeling language that supports the integrated specification of the multiple facets of an ITS: people, their vehicles, and the external environment; and a network of sensors and actuators conveniently arranged and distributed that operates over them. The framework works with a model editor to generate specifications compliant with that language, and a code generator to produce code from them using platform specifications. There are also guidelines to help researchers in the application of this infrastructure. A case study on advanced management of traffic lights with cameras illustrates its use.
  • Publication
    Modelo de asistente semi-automático para procesos de aprendizaje presenciales
    (2016-01) Guijarro Mata-García, María; Fuentes Fernández, Rubén
    Este proyecto pretende construir asesores inteligentes e indicadores de evaluación continua sobre la actividad de los alumnos. Estos asesores se apoyarán en sistemas de recolección de información de herramientas informáticas.
  • Publication
    Diseño y aplicación al aula de un modelo de asistente semi-automático para procesos de aprendizaje presenciales
    (2017-07-03) Guijarro Mata-García, María; Santos Peñas, Matilde; Fuentes Fernández, Rubén; Saenz Pérez, Fernando; Navarro Martín, Antonio; Fernández Prados, Juan Sebastián; Vicente Hernanz, María Lina; Guijarro de Mata-García, Marta; Prieto Fernández, Lucía Amparo; Garnica Alcázar, Antonio Óscar; Jiménez Castellanos, Juan Francisco; Fernández, Isabel; Sáez Alcaide, Juan Carlos
  • Publication
    Social-Aware Driver Assistance Systems for City Traffic in Shared Spaces
    (MDPI, 2019-01-09) Fernández-Isabel, Alberto; Fuentes Fernández, Rubén
    Shared spaces are gaining presence in cities, where a variety of players and mobility types (pedestrians, bicycles, motorcycles, and cars) move without specifically delimited areas. This makes the traffic they comprise challenging for automated systems. The information traditionally considered (e.g., streets, and obstacle positions and speeds) is not enough to build suitable models of the environment. The required explanatory and anticipation capabilities need additional information to improve them. Social aspects (e.g., goal of the displacement, companion, or available time) should be considered, as they have a strong influence on how people move and interact with the environment. This paper presents the Social-Aware Driver Assistance System (SADAS) approach to integrate this information into traffic systems. It relies on a domain-specific modelling language for social contexts and their changes. Specifications compliant with it describe social and system information, their links, and how to process them. Traffic social properties are the formalization within the language of relevant knowledge extracted from literature to interpret information. A multi-agent system architecture manages these specifications and additional processing resources. A SADAS can be connected to other parts of traffic systems by means of subscription-notification mechanisms. The case study to illustrate the approach applies social knowledge to predict people’s movements. It considers a distributed system for obstacle detection and tracking, and the intelligent management of traffic signals.
  • Publication
    Método docente de proyecto social real: de la responsabilidad social a la RRI, investigación e innovación responsables
    (e-prints UCM, 2018-06-13) Hänninen, Liisa Irene; Bueno Doral, Tamara; Arribas Pérez, Felisa; Parras Parras, Alicia; Garcia Castillo, Noélia; Rodríguez Cela, Julia; Fuentes Fernández, Rubén; Pernia Sanz, Raquel
    Este año el grupo pretendío ajustar el método docente de proyecto social real a los requisitos de la emergente disciplina de RRI, mediante proyectos de aprendizaje-servicio con ONGs internacionales y mediante iniciativas profesionales que fomenten la empleabilidad de los estudiantes.
  • Publication
    Metamodelling for Agent-Based Modelling: An Application for Posted Pricing Institutions
    (ICI Bucharest, Publishing Department, 2011) Fuentes Fernández, Rubén; Galán, José M.; Hassan Collado, Samer; Villafañez, Félix A.
    Agent-Based Modelling is gaining wider acceptance as a paradigm for social research. However, it still presents limitations in the management of the process to generate the simulations from the initial conceptual models. This makes it difficult to reuse the knowledge from available models and to adapt it to different hypotheses. This paper proposes the use of metamodels in order to define explicitly the core concepts of a problem domain and to differentiate the aspects involved in the process. A case study for posted pricing institutions shows how to define the related metamodel and use it to address alternative situations in these auctions. The case study drives the discussion on the advantages and limitations that metamodelling can bring to social simulation.