A method for extracting semantic information from on-line art music discussion forums

In this paper a method for extracting semantic informationfrom online music discussion forums is proposed. The semantic relations are inferred from the co-occurrence of musical concepts in forum posts, using network analysis. The method starts by defining a dictionary of common music terms in an art music tradition. Then, it creates a complex network representation of the online forum by matchingsuch dictionary against the forum posts. Once the complex network is built we can study different network measures, including node relevance, node co-occurrence andterm relations via semantically connecting words. Moreover, we can detect communities of concepts inside the forum posts. The rationale is that some music terms are more related to each other than to other terms. All in all, this methodology allows us to obtain meaningful and relevantinformation from forum discussions.

Multiuser detection with an unknown number of active users: receiver design

In multiuser detection, the set of users active at any time may be unknown to the receiver. In these conditions, optimum reception consists of detecting simultaneously the set of activeusers and their data, problem that can be solved exactly by applying random-set theory (RST) and Bayesian recursions (BR). However, implementation of optimum receivers may be limited by their complexity, which grows exponentially with the number of potential users. In this paper we examine three strategies leading to reduced-complexity receivers.In particular, we show how a simple approximation of BRs enables the use of Sphere Detection (SD) algorithm, whichexhibits satisfactory performance with limited complexity.

Asymptotic capacity of static multiuser channels with an unknown number of users

We examine a multiple-access communication system in which multiuser detection is performed without knowledge of the number of active interferers. Using a statistical-physics approach, we compute the single-user channel capacity and spectral efficiency in the large-system limit.

Análisis, comparativa y visualización de redes sociales on-line representadas como grafos

El presente documento conduce a un análisis y comparativa de diferentes y variados conjuntos de redes sociales on-line. Para ello, primero se explica la base teórica de teoría de grafos para su interpretación y comprensión, así como de la base matemática que fundamenta el tipo específico de red estudiada y las diferentes métricas (estadísticas) extraídas de estas. Luego, se ofrece una detallada explicación del entorno de trabajo tanto para la aplicación informática desarrollada, como para posterior visualización y también una explicación y los algoritmos utilizados en las funciones implementadas con tales fines. Para finalizar el documento, se realiza una inmersión particular en cada red social on-line, puntualizando sus características y finalizando con una comparativa general entre todas ellas, siempre acompañadas con sus respectivas visualizaciones en el espacio 2D representadas en forma de grafo.

Integració del motor APIS de qüestionaris on-line en una plataforma d'eLearning basada en serveis

El projecte Integració del motor APIS de qüestionaris on-line en una plataformad'eLearning basada en serveis descriu el procés d'anàlisi i implementació del codi necessari per integrar dins de la plataforma d'eLearning SLeD tot el motor d'APIS de manera que SLeD pugui reproduir preguntes o items i exàmens complets o tests dins d'una UOL o unitat d'aprenentatge. Això permetrà dotar a APIS d'un control de sessió d'usuari i permetrà una utilitat que fins ara no tenia, la possibilitat de entrar al món online mitjançant SLeD. Tot aixòs’implementa gràcies a la connexió WebServices amb el mòdul CCSI de CopperCore i SLeD que s'encarrega de donar facilitats al programador de cara a ampliar el ventall d'eines que ofereix aquesta plataforma i fomentar encara més la idea del codi lliure (open source) i la utilitat globalitzadora d'e-Learning.

A New Model for Designing a Product Line Using TURF Analysis

This paper introduces the approach of using TURF analysis to design a product line through a binary linear programming model. This improves the efficiency of the search for the solution to the problem compared to the algorithms that have been used to date. Furthermore, the proposed technique enables the model to be improved in order to overcome the main drawbacks presented by TURF analysis in practice.