983 resultados para portfolio adjustment weight


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Contiene ejemplos de actividades para el uso del Portafolio europeo de las lenguas para adultos en la Educación de Personas Adultas.

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Curso de idiomas que se adapta a las necesidades específicas de los hablantes de español. Estas necesidades surgen a menudo debido a la interferencia con la lengua materna y se refieren a errores de gramática, vocabulario y pronunciación en el aprendizaje y el uso del inglés. Centrado en los objetivos de la vida real, prepara los alumnos a usar el inglés con confianza en la comunicación fuera del aula. El curso e-portfolio proporciona herramientas de referencia y pruebas de vocabulario, para que puedan consignar sus experiencias de aprendizaje y reflexionar sobre ellas marcándose objetivos y poder autoevaluarse.

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XII Jornadas de Investigación en el Aula de Matemáticas : estadística y azar, celebradas en Granada, noviembre y diciembre de 2006. Resumen tomado de la publicación

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Título del congreso: Multiculturalidad y norma policéntrica: aplicaciones en el aula de ELE

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Título del encuentro: 'Las TICs en el aula de ELE', organizado por el Instituto Cervantes de Nápoles

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Título del congreso: 'Una lengua, muchas culturas'

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Título del congreso: 2006, año del español en Noruega : un reto posible

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En el proyecto participan el CPR de Cehegín (Murcia) y el CPR de Molina de Segura (Murcia). - El artículo forma parte de un monográfico de la revista dedicado a calidad

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Se trata de un estudio del portfolio europeo de las lenguas, que es un documento aprobado por las instituciones europeas, y que sirve para compartir experiencias del aprendizaje del idioma y solucionar problemas relacionados con la docencia de las lenguas.

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Large scale image mosaicing methods are in great demand among scientists who study different aspects of the seabed, and have been fostered by impressive advances in the capabilities of underwater robots in gathering optical data from the seafloor. Cost and weight constraints mean that lowcost Remotely operated vehicles (ROVs) usually have a very limited number of sensors. When a low-cost robot carries out a seafloor survey using a down-looking camera, it usually follows a predetermined trajectory that provides several non time-consecutive overlapping image pairs. Finding these pairs (a process known as topology estimation) is indispensable to obtaining globally consistent mosaics and accurate trajectory estimates, which are necessary for a global view of the surveyed area, especially when optical sensors are the only data source. This thesis presents a set of consistent methods aimed at creating large area image mosaics from optical data obtained during surveys with low-cost underwater vehicles. First, a global alignment method developed within a Feature-based image mosaicing (FIM) framework, where nonlinear minimisation is substituted by two linear steps, is discussed. Then, a simple four-point mosaic rectifying method is proposed to reduce distortions that might occur due to lens distortions, error accumulation and the difficulties of optical imaging in an underwater medium. The topology estimation problem is addressed by means of an augmented state and extended Kalman filter combined framework, aimed at minimising the total number of matching attempts and simultaneously obtaining the best possible trajectory. Potential image pairs are predicted by taking into account the uncertainty in the trajectory. The contribution of matching an image pair is investigated using information theory principles. Lastly, a different solution to the topology estimation problem is proposed in a bundle adjustment framework. Innovative aspects include the use of fast image similarity criterion combined with a Minimum spanning tree (MST) solution, to obtain a tentative topology. This topology is improved by attempting image matching with the pairs for which there is the most overlap evidence. Unlike previous approaches for large-area mosaicing, our framework is able to deal naturally with cases where time-consecutive images cannot be matched successfully, such as completely unordered sets. Finally, the efficiency of the proposed methods is discussed and a comparison made with other state-of-the-art approaches, using a series of challenging datasets in underwater scenarios