Object oriented simulation of hybrid renewable energy systems focused on supervisor control

EFTA 2009

Making object-oriented databases more knowledgeable (From ADAM to ABEL)

Tesis leida en la Universidad de Aberdeen. 178 p.

Towards multilingual domain module acquisition

Máster y Doctorado en Sistemas Informáticos Avanzados, Informatika Fakultatea - Facultad de Informática

LiDom builder: Automatising the construction of multilingual domain modules

136 p.

Estudio del proceso formativo que siguen un grupo de docentes para realizar un diagnóstico de necesidades en deporte escolar

[Es] En este artículo se relata el proceso formativo que han seguido tres profesores de educación física coordinadores de deporte escolar en el curso 2004/2005. En éste curso se realizó un diagnóstico en tres ikastolas de Bizkaia para lo que se crearon diferentes grupos de trabajo en los que se dieron procesos formativos a distintos niveles. Las personas que posibilitaron el desarrollo de la investigación fueron profesores de educación física coordinadores de deporte escolar. Éstos, a través de la investigación-acción, han iniciado su formación como investigadores en el propio proceso de realización del diagnóstico. La formación que han recibido ha partido de considerarles objeto y sujeto de la investigación y de formales en la elaboración y utilización de técnicas adecuadas a la realización de procesos de investigación de naturaleza cualitativa.

The Object Agreement Restriction

[EN]This paper deals with the so-called Person Case Constraint (Bonet, 1991), a universal constraint blocking accusative clitics and object agreement morphemes other than third person when a dative is inserted in the same clitic/agreement cluster. The aim of this paper is twofold. First, we argue that the scope of the PCC is considerably broader than assumed in previous work, and that neither its formulation in terms of person (1st/2nd vs. 3rd)-case (accusative vs. dative) restrictions nor its morphological nature are part of the right descriptive generalization.We present evidence (i) that the PCC is triggered by the presence of an animacy feature in the object’s agreement set; (ii) that it is not case dependent, also showing up in languages that lack dative case; and (iii) that it is not morphologically bound. Second, we argue that the PCC, even if it is modified accordingly, still puts together two different properties of the agreement system that should be set apart: (i) a cross linguistic sensitivity of object agreement to animacy and (ii) a similarly widespread restriction on multiple object agreement observed crosslinguistically. These properties lead us to propose a new generalization, the Object Agreement Constraint (OAC): if the verbal complex encodes object agreement, no other argument can be licensed through verbal agreement.

Pautas de conducta constructiva en psicomotricidad a los dos años

[Es]Este trabajo forma parte de una investigación empírica que aplica la metodología observacional a la incipiente actividad constructiva propia de la psicomotricidad espontánea a los dos años de edad. Es un estudio idiográfico, el diseño observacional utilizado es nomotético, de seguimiento y multidimensional. El instrumento de observación desarrollado ad hoc para el registro de la conducta conscontructiva es el formato de campo “la construcción en psicomotricidad durante el tercer año de vida”. La fiabilidad del instrumento se establece a partir del grado de concordancia entre los observadores. Los resultados, obtenidos mediante el análisis de coocurrencias, informan sobre las condiciones, modalidades, tendencias, evolución y niveles de acción que estas primeras conductas constructivas despliegan. Esta actividad de construcción, de acuerdo con la teoría psicogenética walloniana, puede ser considerada invención de nuevas conductas adecuadas a las nuevas situaciones. Su suspensión da lugar a símbolos enactivos, precursores del juego simbólico infantil.

Study of an object recognition algorithm

This project introduces an improvement of the vision capacity of the robot Robotino operating under ROS platform. A method for recognizing object class using binary features has been developed. The proposed method performs a binary classification of the descriptors of each training image to characterize the appearance of the object class. It presents the use of the binary descriptor based on the difference of gray intensity of the pixels in the image. It shows that binary features are suitable to represent object class in spite of the low resolution and the weak information concerning details of the object in the image. It also introduces the use of a boosting method (Adaboost) of feature selection al- lowing to eliminate redundancies and noise in order to improve the performance of the classifier. Finally, a kernel classifier SVM (Support Vector Machine) is trained with the available database and applied for predictions on new images. One possible future work is to establish a visual servo-control that is to say the reac- tion of the robot to the detection of the object.

On the Selection of Non-Invasive Methods Based on Speech Analysis Oriented to Automatic Alzheimer Disease Diagnosis

The work presented here is part of a larger study to identify novel technologies and biomarkers for early Alzheimer disease (AD) detection and it focuses on evaluating the suitability of a new approach for early AD diagnosis by non-invasive methods. The purpose is to examine in a pilot study the potential of applying intelligent algorithms to speech features obtained from suspected patients in order to contribute to the improvement of diagnosis of AD and its degree of severity. In this sense, Artificial Neural Networks (ANN) have been used for the automatic classification of the two classes (AD and control subjects). Two human issues have been analyzed for feature selection: Spontaneous Speech and Emotional Response. Not only linear features but also non-linear ones, such as Fractal Dimension, have been explored. The approach is non invasive, low cost and without any side effects. Obtained experimental results were very satisfactory and promising for early diagnosis and classification of AD patients.

Advances towards behaviour-based indoor robotic exploration

215 p.

Discounting the value of natural resources in costbenefit analysis: a case study for policy making

4 p.

Implications of governance structures on urban climate action: evidence from Italy and Spain

47 p.

Desarrollo de una metodología para la innovación en Latinoamérica

La sociedad actual cada vez cambia con más rapidez, por lo tanto para que los países sigan siendo competitivos en el mercado mundial y el desarrollo del país vaya en aumento es necesario llevar a cabo una innovación de calidad. A lo largo de este trabajo hemos identificado y analizado los principales factores que influyen a la innovación en dos países latinoamericanos, Chile y México. De esta forma, el objeto de este trabajo consiste en Desarrollar un Plan de Acción que permita a los gobiernos de los países analizados desarrollar su capacidad innovadora. Para ello, se ha utilizado una metodología denominada Delphi, mediante la cual hemos conocido la opinión y percepción que tienen algunos expertos, que se dedican al estudio de la innovación. Los resultados obtenidos indican que tanto la educación como la financiación de las actividades de investigación y educación son los factores que determinan el plan innovador de un país. Asimismo, mediante dicho plan los Gobiernos podrían llegar a ser más eficientes y aprovechar las oportunidades que poseen para mejorar la calidad de la innovación que se lleva a cabo en Chile y México.

Resveratrol: Anti-Obesity Mechanisms of Action

Resveratrol is a non-flavonoid polyphenol which belongs to the stilbenes group and is produced naturally in several plants in response to injury or fungal attack. Resveratrol has been recently reported as preventing obesity. The present review aims to compile the evidence concerning the potential mechanisms of action which underlie the anti-obesity effects of resveratrol, obtained either in cultured cells lines and animal models. Published studies demonstrate that resveratrol has an anti-adipogenic effect. A good consensus concerning the involvement of a down-regulation of C/EBPa and PPAR. in this effect has been reached. Also, in vitro studies have demonstrated that resveratrol can increase apoptosis in mature adipocytes. Furthermore, different metabolic pathways involved in triacylglycerol metabolism in white adipose tissue have been shown to be targets for resveratrol. Both the inhibition of de novo lipogenesis and adipose tissue fatty acid uptake mediated by lipoprotein lipase play a role in explaining the reduction in body fat which resveratrol induces. As far as lipolysis is concerned, although this compound per se seems to be unable to induce lipolysis, it increases lipid mobilization stimulated by beta-adrenergic agents. The increase in brown adipose tissue thermogenesis, and consequently the associated energy dissipation, can contribute to explaining the body-fat lowering effect of resveratrol. In addition to its effects on adipose tissue, resveratrol can also acts on other organs and tissues. Thus, it increases mitochondriogenesis and consequently fatty acid oxidation in skeletal muscle and liver. This effect can also contribute to the body-fat lowering effect of this molecule.

Physiological modules for generating discrete and rhythmic movements: action identification by a dynamic recurrent neural network

In this study we employed a dynamic recurrent neural network (DRNN) in a novel fashion to reveal characteristics of control modules underlying the generation of muscle activations when drawing figures with the outstretched arm. We asked healthy human subjects to perform four different figure-eight movements in each of two workspaces (frontal plane and sagittal plane). We then trained a DRNN to predict the movement of the wrist from information in the EMG signals from seven different muscles. We trained different instances of the same network on a single movement direction, on all four movement directions in a single movement plane, or on all eight possible movement patterns and looked at the ability of the DRNN to generalize and predict movements for trials that were not included in the training set. Within a single movement plane, a DRNN trained on one movement direction was not able to predict movements of the hand for trials in the other three directions, but a DRNN trained simultaneously on all four movement directions could generalize across movement directions within the same plane. Similarly, the DRNN was able to reproduce the kinematics of the hand for both movement planes, but only if it was trained on examples performed in each one. As we will discuss, these results indicate that there are important dynamical constraints on the mapping of EMG to hand movement that depend on both the time sequence of the movement and on the anatomical constraints of the musculoskeletal system. In a second step, we injected EMG signals constructed from different synergies derived by the PCA in order to identify the mechanical significance of each of these components. From these results, one can surmise that discrete-rhythmic movements may be constructed from three different fundamental modules, one regulating the co-activation of all muscles over the time span of the movement and two others elliciting patterns of reciprocal activation operating in orthogonal directions.