921 resultados para Gui


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Con la implantación del Espacio Europeo de Educación Superior (EEES), el alumnado se convierte en el referente del proceso de enseñanza-aprendizaje, y el profesorado deja de ser un mero transmisor de conocimientos, para convertirse en mediador, facilitador o guía de dicho proceso. Los nuevos grados llevan consigo la implantación de Sistemas de Garantía de Calidad, y concebimos, pues, a la orientación educativa como parte integrante de planes estratégicos, que conduzcan a la mejora de la calidad en nuestro ámbito de trabajo, en la universidad. Creemos, pues, que es muy necesario que existan en este nivel educativo servicios de orientación, en cada universidad e, incluso, en cada facultad, que puedan contribuir a la mejora de los procesos de enseñanza- aprendizaje y no sólo relacionados con la orientación profesional. Ya que, como hemos indicado anteriormente, los consideramos de capital importancia en esta nueva concepción del EEES. El procedimiento que hemos seguido ha sido el análisis de lo que a día de hoy está implementado en la Universidad de Málaga, desde los servicios que hay creados, centrándonos en la realidad actual de la situación en la Facultad de Ciencias de la Educación y en el Centro adscrito de Magisterio “María Inmaculada” de Antequera. Y también comentaremos los servicios implementados en la Universidad de Granada, en concreto, referidos a la Facultad de Educación y Humanidades de Melilla. Del resultado de dicho análisis, concluiremos que la orientación que tenemos no es la que queremos, pero intentaremos ofrecer las pautas de cómo nos gustaría que fuera.

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Laser speckle contrast imaging (LSCI) has the potential to be a powerful tool in medicine, but more research in the field is required so it can be used properly. To help in the progression of Michigan Tech's research in the field, a graphical user interface (GUI) was designed in Matlab to control the instrumentation of the experiments as well as process the raw speckle images into contrast images while they are being acquired. The design of the system was successful and is currently being used by Michigan Tech's Biomedical Engineering department. This thesis describes the development of the LSCI GUI as well as offering a full introduction into the history, theory and applications of LSCI.

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Intersubjectivity is an important concept in psychology and sociology. It refers to sharing conceptualizations through social interactions in a community and using such shared conceptualization as a resource to interpret things that happen in everyday life. In this work, we make use of intersubjectivity as the basis to model shared stance and subjectivity for sentiment analysis. We construct an intersubjectivity network which links review writers, terms they used, as well as the polarities of the terms. Based on this network model, we propose a method to learn writer embeddings which are subsequently incorporated into a convolutional neural network for sentiment analysis. Evaluations on the IMDB, Yelp 2013 and Yelp 2014 datasets show that the proposed approach has achieved the state-of-the-art performance.

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Non-intrusive monitoring of health state of induction machines within industrial process and harsh environments poses a technical challenge. In the field, winding failures are a major fault accounting for over 45% of total machine failures. In the literature, many condition monitoring techniques based on different failure mechanisms and fault indicators have been developed where the machine current signature analysis (MCSA) is a very popular and effective method at this stage. However, it is extremely difficult to distinguish different types of failures and hard to obtain local information if a non-intrusive method is adopted. Typically, some sensors need to be installed inside the machines for collecting key information, which leads to disruption to the machine operation and additional costs. This paper presents a new non-invasive monitoring method based on GMRs to measure stray flux leaked from the machines. It is focused on the influence of potential winding failures on the stray magnetic flux in induction machines. Finite element analysis and experimental tests on a 1.5-kW machine are presented to validate the proposed method. With time-frequency spectrogram analysis, it is proven to be effective to detect several winding faults by referencing stray flux information. The novelty lies in the implement of GMR sensing and analysis of machine faults.

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A proposta do artigo é procurar compreender os fluxos migratórios que ocorrem atualmente na América Latina, dando destaque ao caso dos bolivianos e venezuelanos que emigram ao Brasil. A escolha pela temática se explica pela importância dessa discussão em ambiente de aprendizagem de línguas (Espanhol) e formação profissional, na medida em que os marcos legais que regem a formação de professores no Brasil se orientam pela concepção de uma “educação inclusiva através do respeito às diferenças, reconhecendo e valorizando a diversidade étnico-racial, de gênero, sexual, religiosa, de faixa geracional, entre outras”. (BRASIL, 2015, p.6). Por isso, a Epistemologia da Interculturalidade se oferece como base teórica e filosófica adequada, conforme sugerem alguns dos autores latino-americanos, dos quais destaco Catherine Walsh, Silvia Rivera Cusicanqui e Walter Mignolo. Ao analisar o sujeito imigrante que chega ao Brasil, fica evidente que se trata de pessoas que pertencem a classes subalternizadas historicamente, conforme é o caso dos negros e dos indígenas. Essa percepção evidencia a estreita relação entre os problemas dos povos imigrantes e os interesses da formação de professores, assim como se adequa perfeitamente ao objeto de interesse da Interculturalidade e da Linguística Aplicada, áreas que orientam minha ação profissional e acadêmica