15 resultados para Film roughness

em Archivo Digital para la Docencia y la Investigación - Repositorio Institucional de la Universidad del País Vasco


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Eguíluz, Federico; Merino, Raquel; Olsen, Vickie; Pajares, Eterio; Santamaría, José Miguel (eds.)

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Eguíluz, Federico; Merino, Raquel; Olsen, Vickie; Pajares, Eterio; Santamaría, José Miguel (eds.)

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Eguíluz, Federico; Merino, Raquel; Olsen, Vickie; Pajares, Eterio; Santamaría, José Miguel (eds.)

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Eguíluz, Federico; Merino, Raquel; Olsen, Vickie; Pajares, Eterio; Santamaría, José Miguel (eds.)

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Santamaría, José Miguel; Pajares, Eterio; Olsen, Vickie; Merino, Raquel; Eguíluz, Federico (eds.)

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Santamaría, José Miguel; Pajares, Eterio; Olsen, Vickie; Merino, Raquel; Eguíluz, Federico (eds.)

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Santamaría, José Miguel; Pajares, Eterio; Olsen, Vickie; Merino, Raquel; Eguíluz, Federico (eds.)

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Santamaría, José Miguel; Pajares, Eterio; Olsen, Vickie; Merino, Raquel; Eguíluz, Federico (eds.)

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Eterio Pajares, Raquel Merino y José Miguel Santamaría (eds.)

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Eterio Pajares, Raquel Merino y José Miguel Santamaría (eds.)

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Nivel educativo: Grado. Duración (en horas): De 41 a 50 horas

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This project analyzes the role that marketing plays at present.It is a distinctive in the film industry because of the emergence of new patterns of production, distribution and exhibition due to the unstoppable progress of digital technologies, the expansion of the internet and consumer changes in the spectator. To perform this analysis, a description of the situation of the film industry in the competitive market, Hollywood, and the evolution of digital technology in general are included. It is also essential in the project, to observe, the marketing applied to the different phases of the globalized cinema. And then introduce the potential Spanish marketing strategies.

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Grinding is an advanced machining process for the manufacturing of valuable complex and accurate parts for high added value sectors such as aerospace, wind generation, etc. Due to the extremely severe conditions inside grinding machines, critical process variables such as part surface finish or grinding wheel wear cannot be easily and cheaply measured on-line. In this paper a virtual sensor for on-line monitoring of those variables is presented. The sensor is based on the modelling ability of Artificial Neural Networks (ANNs) for stochastic and non-linear processes such as grinding; the selected architecture is the Layer-Recurrent neural network. The sensor makes use of the relation between the variables to be measured and power consumption in the wheel spindle, which can be easily measured. A sensor calibration methodology is presented, and the levels of error that can be expected are discussed. Validation of the new sensor is carried out by comparing the sensor's results with actual measurements carried out in an industrial grinding machine. Results show excellent estimation performance for both wheel wear and surface roughness. In the case of wheel wear, the absolute error is within the range of microns (average value 32 mu m). In the case of surface finish, the absolute error is well below R-a 1 mu m (average value 0.32 mu m). The present approach can be easily generalized to other grinding operations.

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Irenek ez ditu sekula begiak kliskatu, bizitzako une garrantzitsuak galtzearen beldur baita. Arrainak dira, antza, haren egoera uler dezaketen bakarrak. Animalia hauekiko debozio sutsuak etikaren mugak gainditzera eramango du gaztea.