6 resultados para Publicidad online

em Universitat de Girona, Spain


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As universities are offering tuition through online learning environments, “onsite students” in higher education are increasingly becoming “online learners”. Since the medium for learning (and teaching) online is a digital environment, and at a distance, the role taken by students and teaching staff is different to the one these are used to in onsite, traditional settings. Therefore the Role of the Online Learner, presented in this paper, is key to onsite students who are to become online learners. This role consists of five competences: Operational, Cognitive, Collaborative, Self-directing, Course-specific. These five competences integrate the various skills, strategies, attitudes and awareness that make up the role of online learner, which learners use to perform efficiently online. They also make up the basis of a tutorial for would-be online learners, going over the Role of the Online Learner by means of concepts, examples and reflective activities. This tutorial, available to students in the author’s website, is also helpful to teaching and counselling staff in guiding their students to become online learners

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El servicio WFS-G de Nomenclátor del Instituto de Cartografía de Andalucía (ICA) basa sus servicios en una base de datos que sigue el estándar del Modelo de Nomenclátor de España y que actualmente contiene unos 149.500 topónimos e identificadores geográficos clasificados temáticamente en áreas administrativas, entidades de población, hidrografía, orografía, patrimonio, infraestructuras, actividades industriales, extractivas, servicios y equipamientos. Este servicio OGC basado en el software libre Deegree 2.2. trata de dar servicio a otros proyectos del ICA como la IDEAndalucia, el catálogo de productos on-line LINE@ y en un futuro al buscador de cartografía histórica; por otro lado dispone de un visor propio de búsqueda de nombres geográficos con utilidades de descarga, rectificación y localización de topónimos cercanos

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La adaptación del sistema universitario catalán y español al Espacio Europeo de Educación Superior (EEES) está favoreciendo la aparición de nuevas metodologías docentes en respuesta a los requerimientos del llamado European Credit Transfer System (ECTS), una modalidad de crédito cuya principal característica consiste, como ya es ampliamente conocido, en focalizar la atención en el estudiante y, especialmente, en generar un proceso interactivo en el que el alumno se convierta en responsable activo de la adquisición de conocimientos. En el ámbito de las Ciencias de la Comunicación, una de las iniciativas más destacables de aproximación al EEES comienza en el año 2004, cuando el Departament d'Universitats, Investigació i Societat de la Informació de la Generalitat de Catalunya (DURSI) eligió a varios centros catalanes para que aplicaran de manera experimental el nuevo sistema común de créditos derivados de la Declaración de Bolonia. La Universidad Autónoma de Barcelona (UAB) fue uno de ellos, y ésta, a su vez, decidió poner en práctica la prueba piloto en la licenciatura de Publicidad y Relaciones Públicas. Es a partir de ese momento cuando los profesores del Departament de Comunicació Audiovisual i Publicitat de la UAB que forman el grupo de investigación Publiradio2 deciden poner en marcha un proyecto que, en el marco de las asignaturas de creatividad y de radio publicitaria, respondiera a las exigencias de la cultura docente en la que se inspira el crédito ECTS. Nace así Publiradio.net, un aplicativo on-line para la creación de publicidad radiofónica destinado, también, a facilitar y potenciar el aprendizaje autónomo entre los estudiantes, a fomentar, en sintonía con las apreciaciones de Aguaded, la utilización de 'técnicas y procedimientos que permitan al alumnado su análisis y uso como lenguajes propios' y a impulsar y facilitar a los estudiantes la investigación en publicidad radiofónica

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Reinforcement learning (RL) is a very suitable technique for robot learning, as it can learn in unknown environments and in real-time computation. The main difficulties in adapting classic RL algorithms to robotic systems are the generalization problem and the correct observation of the Markovian state. This paper attempts to solve the generalization problem by proposing the semi-online neural-Q_learning algorithm (SONQL). The algorithm uses the classic Q_learning technique with two modifications. First, a neural network (NN) approximates the Q_function allowing the use of continuous states and actions. Second, a database of the most representative learning samples accelerates and stabilizes the convergence. The term semi-online is referred to the fact that the algorithm uses the current but also past learning samples. However, the algorithm is able to learn in real-time while the robot is interacting with the environment. The paper shows simulated results with the "mountain-car" benchmark and, also, real results with an underwater robot in a target following behavior

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A survey of MPLS protection methods and their utilization in combination with online routing methods is presented in this article. Usually, fault management methods pre-establish backup paths to recover traffic after a failure. In addition, MPLS allows the creation of different backup types, and hence MPLS is a suitable method to support traffic-engineered networks. In this article, an introduction of several label switch path backup types and their pros and cons are pointed out. The creation of an LSP involves a routing phase, which should include QoS aspects. In a similar way, to achieve a reliable network the LSP backups must also be routed by a QoS routing method. When LSP creation requests arrive one by one (a dynamic network scenario), online routing methods are applied. The relationship between MPLS fault management and QoS online routing methods is unavoidable, in particular during the creation of LSP backups. Both aspects are discussed in this article. Several ideas on how these actual technologies could be applied together are presented and compared

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This paper presents a complete solution for creating accurate 3D textured models from monocular video sequences. The methods are developed within the framework of sequential structure from motion, where a 3D model of the environment is maintained and updated as new visual information becomes available. The camera position is recovered by directly associating the 3D scene model with local image observations. Compared to standard structure from motion techniques, this approach decreases the error accumulation while increasing the robustness to scene occlusions and feature association failures. The obtained 3D information is used to generate high quality, composite visual maps of the scene (mosaics). The visual maps are used to create texture-mapped, realistic views of the scene