Gestión de centros deportivos: Virtual Trainer Web Ed.

Virtual Trainer Web Edition proporciona un sistema de gestión, planificación y control de un centro deportivo, ofreciendo interactividad entre técnicos, socios y personal de gerencia y facilitando todo el trabajo de un mantenimiento de información tradicional. A través de cualquier PC con conexión a Internet y sin instalación de software adicional, se accede a una completa aplicación con contenidos multimedia.

Pautes per a la implementació i el manteniment de serveis de referència virtual

Actualment, gràcies a la tecnologia, els usuaris poden accedir als recursos de les biblioteques sense limitacions de temps ni espai. Per tal de satisfer les necessitats dels usuaris no presencials, moltes biblioteques i consorcis bibliotecaris estan ampliant els seus serveis de referència per prestar serveis de referència virtual. Les pautes que s'ofereixen en aquest article pretenen servir d'orientació a les diverses institucions, a l'hora d'implementar i mantenir serveis de referència virtual.

A Model-to-model analysis of the repeated Prisoners' Dilemma: genetic algorithms vs. evolutionary dynamics

We study the properties of the well known Replicator Dynamics when applied to a finitely repeated version of the Prisoners' Dilemma game. We characterize the behavior of such dynamics under strongly simplifying assumptions (i.e. only 3 strategies are available) and show that the basin of attraction of defection shrinks as the number of repetitions increases. After discussing the difficulties involved in trying to relax the 'strongly simplifying assumptions' above, we approach the same model by means of simulations based on genetic algorithms. The resulting simulations describe a behavior of the system very close to the one predicted by the replicator dynamics without imposing any of the assumptions of the analytical model. Our main conclusion is that analytical and computational models are good complements for research in social sciences. Indeed, while on the one hand computational models are extremely useful to extend the scope of the analysis to complex scenar

Multi-scale support vector algorithms for hot spot detection and modelling

The algorithmic approach to data modelling has developed rapidly these last years, in particular methods based on data mining and machine learning have been used in a growing number of applications. These methods follow a data-driven methodology, aiming at providing the best possible generalization and predictive abilities instead of concentrating on the properties of the data model. One of the most successful groups of such methods is known as Support Vector algorithms. Following the fruitful developments in applying Support Vector algorithms to spatial data, this paper introduces a new extension of the traditional support vector regression (SVR) algorithm. This extension allows for the simultaneous modelling of environmental data at several spatial scales. The joint influence of environmental processes presenting different patterns at different scales is here learned automatically from data, providing the optimum mixture of short and large-scale models. The method is adaptive to the spatial scale of the data. With this advantage, it can provide efficient means to model local anomalies that may typically arise in situations at an early phase of an environmental emergency. However, the proposed approach still requires some prior knowledge on the possible existence of such short-scale patterns. This is a possible limitation of the method for its implementation in early warning systems. The purpose of this paper is to present the multi-scale SVR model and to illustrate its use with an application to the mapping of Cs137 activity given the measurements taken in the region of Briansk following the Chernobyl accident.

Heterogeneity of atherosclerotic plaque phenotypes and composition in four different arterial beds: an intravascular ultrasound virtual histology study

Purpose: The purpose of this study was to compare the plaque morphology between coronary and peripheral arteries using intravascular ultrasound (IVUS). Methods: IVUS was performed in 68 patients with coronary and 93 with peripheral artery lesions (29 carotid, 50 renal, and 14 iliac). Plaques were classified as fibroatheroma (VH-FA) (further subclassified as thin-capped [VH-TCFA] and thick-capped [VH-ThCFA]), fibrocalcific plaque (VH-FC) and pathological intimal thickening (VH-PIT). Results: Plaque rupture (13% of coronary, 7% of carotid, 6% of renal, and 7% of iliac arteries; P=NS) and VH-TCFA (37% of coronary, 24% of carotid, 16% of renal, and 7% of iliac arteries; P=0.02) was observed in all arteries. Compared to coronary arteries, VH-FA was less frequently observed in renal (P<0.001) and iliac arteries (P<0.006), while VH-PIT and VH-FC were prevalent in both of these peripheral arteries. Lesions with positive remodeling demonstrated more characteristics of VH-FA in coronary, carotid, and renal arteries compared to those with intermediate/negative remodeling (all P<0.01). There was positive relationship between RI and percent necrotic core area in all four arteries. Conclusions: Atherosclerotic plaque phenotypes were heterogeneous among four different arteries. In contrast, the associations of remodeling mode with plaque phenotype and composition were similar among the various arterial beds.

Hidratar el metabolismo socioeconómico: los flujos de agua virtual y el metabolismo hídirico: una aproximación al sector hortofrutícola andaluz

La base de este trabajo se sustenta en que la Sociedad tiene unos requerimientos fisiológicos y psicológicos que satisface con materia y energía. Esta materia y energía, recursos, se hacen escasos en relación a las necesidades y deseos subjetivos de los agentes, que dependen en gran medida de los valores asociados a los mismos. Desde la Economía se trata de buscar la mejor forma de distribuir esos recursos entre aquellos deseos o necesidades y, en su evolución científica, ha desarrollado el análisis de la naturaleza física de los procesos económicos que ha sido, hasta hace relativamente poco tiempo, un objeto escasamente estudiado por los economistas, centrándose éstos en los estudios de las valoraciones monetarias más que en las valoraciones físicas. La aportación de este trabajo, se podría sintetizar en tres ideas. En primer lugar, la introducción de un concepto (creemos que no utilizado aún por la literatura) que hemos denominado “Metabolismo Hídrico”, y la idea derivada de la Contabilidad de los Flujos de Agua, como parte importante del Metabolismo Socioeconómico. En segundo lugar, el trabajo se separa de la línea reduccionista complementando el análisis físico con un análisis monetario para tratar de entender las causas de la escasez de agua. En nuestra opinión, el análisis monetario complementa al físico y no al revés, como más adelante explicaremos. En tercer lugar, el trabajo aporta la idea de la territorialidad, estimando no sólo el volumen de los flujos sino también su procedencia y destino.

Integració d'una wiki al Campus Virtual de la Universitat Autònoma de Barcelona

Aquest projecte presenta una sol·lució per tal d’incorporar una eina wiki al Campus Virtual de la Universitat Autònoma de Barcelona. Enfront de la metodologia docent clàssica, la wiki oferirà funcionalitats orientades al treball col·laboratiu i fomentarà la participació de l’alumne. L’objectiu final és tenir una eina completament integrada al Campus Virtual, que aprofiti l’aplicatiu existent i s’interrelacioni amb la resta de mòduls presents.

J2EE tienda virtual application framework

En el siguiente documento podrá encontrar de una forma clara y entendedora, a través de la creación de un sencillo aplicativo, el mecanismo para la creación de una aplicación J2EE basada en el framework de desarrollo Yakarta Struts. En el mismo partirá desde cero, desde el inicio en la captación de requerimientos, pasando por la etapa de análisis y diseño y la posterior implementación.

Fast numerical algorithms for the computation of invariant tori in Hamiltonian systems

In this paper, we develop numerical algorithms that use small requirements of storage and operations for the computation of invariant tori in Hamiltonian systems (exact symplectic maps and Hamiltonian vector fields). The algorithms are based on the parameterization method and follow closely the proof of the KAM theorem given in [LGJV05] and [FLS07]. They essentially consist in solving a functional equation satisfied by the invariant tori by using a Newton method. Using some geometric identities, it is possible to perform a Newton step using little storage and few operations. In this paper we focus on the numerical issues of the algorithms (speed, storage and stability) and we refer to the mentioned papers for the rigorous results. We show how to compute efficiently both maximal invariant tori and whiskered tori, together with the associated invariant stable and unstable manifolds of whiskered tori. Moreover, we present fast algorithms for the iteration of the quasi-periodic cocycles and the computation of the invariant bundles, which is a preliminary step for the computation of invariant whiskered tori. Since quasi-periodic cocycles appear in other contexts, this section may be of independent interest. The numerical methods presented here allow to compute in a unified way primary and secondary invariant KAM tori. Secondary tori are invariant tori which can be contracted to a periodic orbit. We present some preliminary results that ensure that the methods are indeed implementable and fast. We postpone to a future paper optimized implementations and results on the breakdown of invariant tori.

Deadlock avoidance with virtual channels

High Performance Computing is a rapidly evolving area of computer science which attends to solve complicated computational problems with the combination of computational nodes connected through high speed networks. This work concentrates on the networks problems that appear in such networks and specially focuses on the Deadlock problem that can decrease the efficiency of the communication or even destroy the balance and paralyze the network. Goal of this work is the Deadlock avoidance with the use of virtual channels, in the switches of the network where the problem appears. The deadlock avoidance assures that will not be loss of data inside network, having as result the increased latency of the served packets, due to the extra calculation that the switches have to make to apply the policy.

Pessebre virtual: disseny i exportació

Aquest projecte és una part d’un projecte més ampli consistent en estudiar un format gràfic que permeti exportar una escena modelada en Blender i importar aquesta mateixa escena en un entorn interactiu basat en Visual C++ amb OpenGL. D’aquesta forma, disposem de la capacitat de modelat de Blender i de la interacció i visualització de la llibreria OpenGL. Aquest format ha de representar geometria i textures imprescindiblement, i si és possible, d’altres factors importants com il·luminació, visualització i moviment. La part del projecte explicada en aquesta memòria consisteix en estudiar el format gràfic més adient per representar els diferents factors de realisme de l’escena (geometria, textura, etc.) havent triat el format OBJ per la seva capacitat de representació i fàcil edició. Per a provar el format, s’ha dissenyat un diorama de pessebre utilitzant les capacitats de modelatge de Blender. Pel que respecta les figures, aspecte important per a considerar l’escena com a pessebre, s’ha utilitzat un escàner 3D que ha obtingut representacions de malla 3D, a partir de figures reals de pessebre, que posteriorment han estat texturades. S’ha generat un vídeo del diorama de pessebre que permet veure’n tots els detalls navegant amb el punt de vista per l’escena. Aquest vídeo s’ha exposat en la mostra de pessebres de la Associació Pessebrista de Sabadell el Nadal del 2008.

A Survey of Active Learning Algorithms for Supervised Remote Sensing Image Classification

Defining an efficient training set is one of the most delicate phases for the success of remote sensing image classification routines. The complexity of the problem, the limited temporal and financial resources, as well as the high intraclass variance can make an algorithm fail if it is trained with a suboptimal dataset. Active learning aims at building efficient training sets by iteratively improving the model performance through sampling. A user-defined heuristic ranks the unlabeled pixels according to a function of the uncertainty of their class membership and then the user is asked to provide labels for the most uncertain pixels. This paper reviews and tests the main families of active learning algorithms: committee, large margin, and posterior probability-based. For each of them, the most recent advances in the remote sensing community are discussed and some heuristics are detailed and tested. Several challenging remote sensing scenarios are considered, including very high spatial resolution and hyperspectral image classification. Finally, guidelines for choosing the good architecture are provided for new and/or unexperienced user.

Sexualidad femenina y redes sociales : comunicación virtual como mecanismo de socialización

Este trabajo tiene el propósito de estudiar la socialización de la sexualidad femenina a través del análisis de las representaciones sociales de un grupo de mujeres que pertenecen a una comunidad virtual. Estas representaciones y disposiciones son rescatadas de los relatos y comentarios escritos provenientes de la comunicación virtual y del posicionamiento relacional entre mujeres. Dado que la base es comunicacional y por tanto relacional, la conceptualización operativa y la orientación metodológica se llevan a cabo por medio del análisis de redes sociales.