Análisis del proceso de Friction Drilling: Análisis de la calidad de la junta atornillada

[ES]En el presente trabajo, se pretende optimizar la unión atornillada de chapas de dos materiales disimilares (acero y aluminio) mediante un proceso no convencional, el taladrado por fricción. Dicho proceso está orientado a la calderería fina, sector en el cual tiene gran número de aplicaciones. Se comenzará con una serie de ensayos iníciales y se procederá a realizar pruebas sistemáticas. Se realizarán mediciones de temperaturas, momentos torsores y fuerzas, y se analizaran las tolerancias dimensionales generadas por el proceso para la elección de los parámetros óptimos. El documento se centrará en analizar de forma teórica el comportamiento mecánico de la unión y de los ensayos de tracción correspondientes. Esto servirá para realizar los futuros ensayos de calidad y posteriormente comparar los resultados con los de las uniones convencionales.

On the optimal usage of labelled examples in semi-supervised multi-class classification problems

In recent years, the performance of semi-supervised learning has been theoretically investigated. However, most of this theoretical development has focussed on binary classification problems. In this paper, we take it a step further by extending the work of Castelli and Cover [1] [2] to the multi-class paradigm. Particularly, we consider the key problem in semi-supervised learning of classifying an unseen instance x into one of K different classes, using a training dataset sampled from a mixture density distribution and composed of l labelled records and u unlabelled examples. Even under the assumption of identifiability of the mixture and having infinite unlabelled examples, labelled records are needed to determine the K decision regions. Therefore, in this paper, we first investigate the minimum number of labelled examples needed to accomplish that task. Then, we propose an optimal multi-class learning algorithm which is a generalisation of the optimal procedure proposed in the literature for binary problems. Finally, we make use of this generalisation to study the probability of error when the binary class constraint is relaxed.

Optimisation of the first principle code Octopus for massive parallel architectures: application to light harvesting complexes

150 p.

Judgmental-analytical procedures for adapting tests: Adaptation to Spanish of the Reasoning Tests Battery

Adapting a test between cultures or languages requires taking into account legal, linguistic, metric, and use-related considerations. Significantly more attention has been paid to the methodological aspects involved in the study of metric equivalence than to judgmental-analytical procedures prior to the empirical confirmation stage. However, considering the latter is crucial in the adaptation process. Along these lines, this paper seeks to describe and focus on the relevance of the previous stages, thereby offering a systematization process that comprises ten sections. This approach contributes to ensuring the construction of a test adapted and equivalent in as much as possible to the original. This process is exemplified by means of a Spanish language adaptation of a cognitive test originally designed in Portuguese for the Portuguese population, the Reasoning Test Battery. Copyright (C) 2013, Konrad Lorenz University Foundation. Published by Elsevier Espana, S.L.U.

Optimal Taxation and Indeterminacy in the Uzawa-Lucas Model with Sector-specific Externalities

Documento de trabajo