Proyecto de migración a un sistema de telefonia IP (VOIP) basado en software libre.

Una empresa de grandària mitja s'embarca en un projecte de migració del seu sistema telefònic, basat en un model tradicional i amb múltiples problemes, tant a nivell de funcionalitat com de costos, i decideix apostar per una solució basada en programari lliure, amb Linux i Asterisk com peces angulars del disseny del projecte.

Implementació d'un servidor de correu Postfix

El projecte realitza la instal.lació i configuració d'un servidor de correu Linux anomenat Postfix, i els seus complements dins un entorn Windows.

FInDroidMe : desenvolupament d'una aplicació per Android

Elaboració d'una senzilla aplicació client-servidor de localització geogràfica mitjançant el GPS integrat d'un Smartphone amb Sistema Operatiu Android

Disseny d'un cronòmetre i d'un freqüencímetre integrats en un NIOS controlats sobre μClinux

El projecte que es presenta permet analitzar els avantatges i inconvenients d’una programació orientada a hardware i d’una programació orientada a software a partir del desenvolupament de dos dissenys, un cronòmetre i un freqüencímetre en cadascun dels modes de programació. Donat que en les dues aplicacions es requereix alta precisió de temps (μs) i flexibilitat en el control, la solució final que es proposa és un disseny “mixt” amb dos mòduls hardware específics (cronòmetre i freqüencímetre) integrats en un NIOS/CPU sobre una FPGA. Els dos mòduls es controlen per software sobre un sistema Linux empotrat (μCLinux).

Cluster kernels for semisupervised classification of VHR urban images

In this paper, we present and apply a semisupervised support vector machine based on cluster kernels for the problem of very high resolution image classification. In the proposed setting, a base kernel working with labeled samples only is deformed by a likelihood kernel encoding similarities between unlabeled examples. The resulting kernel is used to train a standard support vector machine (SVM) classifier. Experiments carried out on very high resolution (VHR) multispectral and hyperspectral images using very few labeled examples show the relevancy of the method in the context of urban image classification. Its simplicity and the small number of parameters involved make it versatile and workable by unexperimented users.

ICTINEUAUV wins the First SAUC-E competition

A pioneer team of students of the University of Girona decided to design and develop an autonomous underwater vehicle (AUV) called ICTINEU-AUV to face the Student Autonomous Underwater Challenge-Europe (SAUC-E). The prototype has evolved from the initial computer aided design (CAD) model to become an operative AUV in the short period of seven months. The open frame and modular design principles together with the compatibility with other robots previously developed at the lab have provided the main design philosophy. Hence, at the robot's core, two networked computers give access to a wide set of sensors and actuators. The Gentoo/Linux distribution was chosen as the onboard operating system. A software architecture based on a set of distributed objects with soft real time capabilities was developed and a hybrid control architecture including mission control, a behavioural layer and a robust map-based localization algorithm made ICTINEU-AUV the winning entry

Spatial distribution of Schistosoma mansoni infection before and after chemotherapy with two praziquantel doses in a community of Pernambuco, Brazil

Praziquantel chemotherapy has been the focus of the Schistosomiasis Control Program in Brazil for the past two decades. Nevertheless, information on the impact of selective chemotherapy against Schistosoma mansoni infection under the conditions confronted by the health teams in endemic municipalities remains scarce. This paper compares the spatial pattern of infection before and after treatment with either a 40 mg/kg or 60 mg/kg dose of praziquantel by determining the intensity of spatial cluster among patients at 180 and 360 days after treatment. The spatial-temporal distribution of egg-positive patients was analysed in a Geographic Information System using the kernel smoothing technique. While all patients became egg-negative after 21 days, 17.9% and 30.9% reverted to an egg-positive condition after 180 and 360 days, respectively. Both the prevalence and intensity of infection after treatment were significantly lower in the 60 mg/kg than in the 40 mg/kg treatment group. The higher intensity of the kernel in the 40 mg/kg group compared to the 60 mg/kg group, at both 180 and 360 days, reflects the higher number of reverted cases in the lower dose group. Auxiliary, preventive measures to control transmission should be integrated with chemotherapy to achieve a more enduring impact.

National character does not reflect mean personality trait levels in 49 cultures

Most people hold beliefs about personality characteristics typical members of their own and others' cultures. These perceptions of national character may be generalizations from personal experience, stereotypes with a "kernel of truth", or inaccurate stereotypes. We obtained national character ratings of 3989 people from 49 cultures and compared them with the average personality scores of culture members assessed by observer ratings and self-reports. National character ratings were reliable but did not converge with assessed traits. Perceptions of national character thus appear to be unfounded stereotypes that may serve the function of maintaining a national identity.

Rex & Lex Abogados

Proyecto de migración y diseño de la infraestructura informática en una PYME, recogiendo sistemas diversos como son la publicación web junto a un gestor de contenidos, servicio de correo electrónico, etc.

Finanval

El objetivo de este TFC se centrará en la construcción de una calculadora especializada en la valoración de productos financieros (que hasta la fecha han estado restringidos a las tesorerías de banca o de algunas sociedades de inversión) en la plataforma GNU/Linux.

Optimización de los recursos de red de una organización mediante el uso de un servidor dedicado basado en software libre

Estudio de optimización de recursos de red basado en la utilización de un servidor dedicado gestionado mediante software libre.

Context switching accounting mechanism

How many times a given process p preempts, either voluntarily or involuntarily, is an important threat to computer's processes throughput. Whenever running cpu-bound processes on a multi-core system without an actual system grid engine as commonly found on Grid Clusters, their performance and stability are directly related to their accurate implementation and the system reliability which is, to an extend, an important caveat most of the times so difficult to detect. Context Switching is time-consuming. Thus, if we could develop a tool capable of detecting it and gather data from every single performed Context Switch, we would beable to study this data and present some results that should pin-point at whatever their main cause could be.

Effective diagnosis of Alzheimer's disease by means of large margin-based methodology.

BACKGROUND Functional brain images such as Single-Photon Emission Computed Tomography (SPECT) and Positron Emission Tomography (PET) have been widely used to guide the clinicians in the Alzheimer's Disease (AD) diagnosis. However, the subjectivity involved in their evaluation has favoured the development of Computer Aided Diagnosis (CAD) Systems. METHODS It is proposed a novel combination of feature extraction techniques to improve the diagnosis of AD. Firstly, Regions of Interest (ROIs) are selected by means of a t-test carried out on 3D Normalised Mean Square Error (NMSE) features restricted to be located within a predefined brain activation mask. In order to address the small sample-size problem, the dimension of the feature space was further reduced by: Large Margin Nearest Neighbours using a rectangular matrix (LMNN-RECT), Principal Component Analysis (PCA) or Partial Least Squares (PLS) (the two latter also analysed with a LMNN transformation). Regarding the classifiers, kernel Support Vector Machines (SVMs) and LMNN using Euclidean, Mahalanobis and Energy-based metrics were compared. RESULTS Several experiments were conducted in order to evaluate the proposed LMNN-based feature extraction algorithms and its benefits as: i) linear transformation of the PLS or PCA reduced data, ii) feature reduction technique, and iii) classifier (with Euclidean, Mahalanobis or Energy-based methodology). The system was evaluated by means of k-fold cross-validation yielding accuracy, sensitivity and specificity values of 92.78%, 91.07% and 95.12% (for SPECT) and 90.67%, 88% and 93.33% (for PET), respectively, when a NMSE-PLS-LMNN feature extraction method was used in combination with a SVM classifier, thus outperforming recently reported baseline methods. CONCLUSIONS All the proposed methods turned out to be a valid solution for the presented problem. One of the advances is the robustness of the LMNN algorithm that not only provides higher separation rate between the classes but it also makes (in combination with NMSE and PLS) this rate variation more stable. In addition, their generalization ability is another advance since several experiments were performed on two image modalities (SPECT and PET).

Aplicación de gestión de ficheros de configuración de Asterisk : Conexión de Asterisk con Google App corportativo

El objetivo de este trabajo es desarrollar una aplicación web que sirva de gestión de los aparatos conectados a la centralita Asterisk y generar los ficheros de configuración, tanto para los terminales como para el correcto funcionamiento de la centralita. Además, se instalará un servidor que conecte centralita y Google Apps para que los usuarios puedan usar el videochat de Gmail como softphone, permitiéndoles enviar y recibir llamadas a través de la centralita de la universidad en cualquier parte del mundo.

Búsqueda, selección e implantación de un sistema online de software libre para revisión por pares en congresos científicos

Este proyecto tiene como objetivo implementar un sistema libre bajo GNU/Linux para la recepción y evaluación de trabajos presentados a un congreso argentino sobre sistemas embebidos. Además, se piensa en un futuro en organizar un evento de software libre con revisión de pares, para lo cual sería coherente utilizar un sistema con licencia de software libre.