Automatic self-configuration of the logical network using distributed software agents

We present a system for dynamic network resource configuration in environments with bandwidth reservation. The proposed system is completely distributed and automates the mechanisms for adapting the logical network to the offered load. The system is able to manage dynamically a logical network such as a virtual path network in ATM or a label switched path network in MPLS or GMPLS. The system design and implementation is based on a multi-agent system (MAS) which make the decisions of when and how to change a logical path. Despite the lack of a centralised global network view, results show that MAS manages the network resources effectively, reducing the connection blocking probability and, therefore, achieving better utilisation of network resources. We also include details of its architecture and implementation

Interacting software-agents to support a kind of expert supervision systems

Expert supervision systems are software applications specially designed to automate process monitoring. The goal is to reduce the dependency on human operators to assure the correct operation of a process including faulty situations. Construction of this kind of application involves an important task of design and development in order to represent and to manipulate process data and behaviour at different degrees of abstraction for interfacing with data acquisition systems connected to the process. This is an open problem that becomes more complex with the number of variables, parameters and relations to account for the complexity of the process. Multiple specialised modules tuned to solve simpler tasks that operate under a co-ordination provide a solution. A modular architecture based on concepts of software agents, taking advantage of the integration of diverse knowledge-based techniques, is proposed for this purpose. The components (software agents, communication mechanisms and perception/action mechanisms) are based on ICa (Intelligent Control architecture), software middleware supporting the build-up of applications with software agent features

Projecte de software per a la gestió d'entitats culturals

Aquest projecte es basa en la necessitat d’un grup d’entitats culturals de Blanes de tenir un software de gestió integral d’entitats que faciliti el seu funcionament diari. Siguin un esbart, una colla castellera o una coral, generen unes dades molt semblants que permeten dissenyar unes eines genèriques que totes elles poden utilitzar. El software desenvolupat permetrà gestionar les següents dades: socis, actuacions, repertori, participants i galeries d’imatges

Análisis y diseño del software para la gestión integral de un área quirúrgica hospitalaria

Este proyecto consiste en la elaboración de las fases de análisis y diseño técnico de un software que permite la gestión integral del área quirúrgica de un centro hospitalario.

Àgora : Aprendre és cosa de tots

La idea general d¿aquest projecte consisteix en implementar una xarxa (social) entre tots els membres que participen en el procés educatiu, obrint la participació, a més dels membres clàssics (professors) a altres rols (terapeutes, logopedes, professors de reforç, etc.) i implicar de manera més activa a les famílies en les tasques diàries de l¿escola, proporcionant-los informació al moment.

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.

Sistema de Administración de Propiedades Proyecto de Software Libre Wakodi

El trabajo se centra en proporcionar una solución informática para la Administración de Propiedades haciendo uso de nuevas tecnologías y a su vez dotar de las herramientas necesarias para la construcción de una comunidad. El desarrollo de la solución pasa por la descripción de las herramientas empleadas y las etapas para su construcción, que incluyen el análisis, diseño, implementación y posterior implantación. Se hace énfasis en el Framework elegido para demostrar las ventajas de su aplicación. En la construcción de la comunidad se describen las herramientas utilizadas para la difusión del proyecto que incluyen la publicación de una página del proyecto, el uso de redes sociales y páginas publicitarias y la puesta en marcha de un software de colaboración para la administración del desarrollo del proyecto.

eduCAT

eduCAT és una aplicació educativa per l'iPhone en llengua catalana per a nens petits, on els més menuts podran aprendre mentre juguen. Els nens podran interactuar tant amb les lletres com amb els números, i podran fer-ho amb les dues modalitats que ofereix eduCAT: mode d'aprenentatge i mode joc. En aquesta memòria comentarem la tecnologia emprada per fer l'aplicació, anàlisi del sistema, disseny, implementació i conclusions finals.

Open source software expectations in retail businesses of Igualada : an exploratory study

The emergence of open source software in the last years has become a common topic of study in different fields, from the most technical characteristics to the economical aspects. This paper examines the current status about the literature dealing with economics of open source and explores the uses, infrastructure and expectations of retail businesses and institutions of the town of Igualda about it. This qualitative case study finds out that the current equipment and level of uses of ICTs are low and that the current situation of the town stores is receptive to a potential introduction of open source software.

Using free data mining software and clustering algorithms to find predictors from student qualifications

In this project a research both in finding predictors via clustering techniques and in reviewing the Data Mining free software is achieved. The research is based in a case of study, from where additionally to the KDD free software used by the scientific community; a new free tool for pre-processing the data is presented. The predictors are intended for the e-learning domain as the data from where these predictors have to be inferred are student qualifications from different e-learning environments. Through our case of study not only clustering algorithms are tested but also additional goals are proposed.

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.

AUVReport : Software de control y generación de informes para Vehículos Autónoos Submarinos

Desarrollo de software para el control de calidad y la generación automatizada de informes técnicos sobre ficheros de estado generados por AUV (vehículos autónomos submarinos).

ERP vs software de gestió a entorns complexos de producció

L'objectiu principal de l'estudi és fer una avaluació d'una possible introducció a l'ERP d'un entorn complex de producció com pot ser el món de l'electrònica. Partirem de la hipòtesi que l'empresa vol substituir el software de gestió que fa servir actualment, i que ha estat desenvolupat internament, per plantejar la possibilitat d'introduir aquest entorn sota l'ERP actual o utilitzar un software de gestió de tercers.

ApplicationMap : Administración web y comercio electrónico en entornos de software libre

Este proyecto tiene como objetivo desarrollar las herramientas necesarias para poder crear un mapa conceptual de las aplicaciones de una organización, representar gráficamente este mapa y controlar el estado de cada aplicación. En concreto, se trata de desarrollar un formato XML que permita identificar y describir una aplicación, detallar con qué tecnología está desarrollada, qué componentes utiliza, especificar las interacciones o dependencias con otros sistemas, etc.

Study and implementation of some quantitative trading models

Quantitative or algorithmic trading is the automatization of investments decisions obeying a fixed or dynamic sets of rules to determine trading orders. It has increasingly made its way up to 70% of the trading volume of one of the biggest financial markets such as the New York Stock Exchange (NYSE). However, there is not a signi cant amount of academic literature devoted to it due to the private nature of investment banks and hedge funds. This projects aims to review the literature and discuss the models available in a subject that publications are scarce and infrequently. We review the basic and fundamental mathematical concepts needed for modeling financial markets such as: stochastic processes, stochastic integration and basic models for prices and spreads dynamics necessary for building quantitative strategies. We also contrast these models with real market data with minutely sampling frequency from the Dow Jones Industrial Average (DJIA). Quantitative strategies try to exploit two types of behavior: trend following or mean reversion. The former is grouped in the so-called technical models and the later in the so-called pairs trading. Technical models have been discarded by financial theoreticians but we show that they can be properly cast into a well defined scientific predictor if the signal generated by them pass the test of being a Markov time. That is, we can tell if the signal has occurred or not by examining the information up to the current time; or more technically, if the event is F_t-measurable. On the other hand the concept of pairs trading or market neutral strategy is fairly simple. However it can be cast in a variety of mathematical models ranging from a method based on a simple euclidean distance, in a co-integration framework or involving stochastic differential equations such as the well-known Ornstein-Uhlenbeck mean reversal ODE and its variations. A model for forecasting any economic or financial magnitude could be properly defined with scientific rigor but it could also lack of any economical value and be considered useless from a practical point of view. This is why this project could not be complete without a backtesting of the mentioned strategies. Conducting a useful and realistic backtesting is by no means a trivial exercise since the \laws" that govern financial markets are constantly evolving in time. This is the reason because we make emphasis in the calibration process of the strategies' parameters to adapt the given market conditions. We find out that the parameters from technical models are more volatile than their counterpart form market neutral strategies and calibration must be done in a high-frequency sampling manner to constantly track the currently market situation. As a whole, the goal of this project is to provide an overview of a quantitative approach to investment reviewing basic strategies and illustrating them by means of a back-testing with real financial market data. The sources of the data used in this project are Bloomberg for intraday time series and Yahoo! for daily prices. All numeric computations and graphics used and shown in this project were implemented in MATLAB^R scratch from scratch as a part of this thesis. No other mathematical or statistical software was used.