Programa de gestió per la Pastisseria Mas

En els últims anys, el món de la informàtica ha evolucionat d'una manera inimaginable, tan a nivell de Hardware com de Software. Aquesta evolució ha donat lloc a la creació de moltes empreses dedicades a la programació, on una de les seves principals feines ha estat la realització de programes de gestió d'empreses. Moltes vegades, però, els programes estàndards no poden satisfer el total de les necessitats dels clients, sinó algunes d’aquestes i realitzar un programa personalitzat té un cost elevat. En el cas de la Pastisseria Mas de Navàs, una empresa familiar, per poder realitzar les tasques administratives utilitzen fulls de càlcul, concretament el Microsoft Excel, que permet portar els comptes d'una manera més o menys senzilla, ja que només són necessàries unes nocions bàsiques d'informàtica. El mateix passa amb les dades dels proveïdors, que les guarden en una Base de Dades del tipus Microsoft Access. Una altra de les mancances és el tema dels encàrrecs que es fa de manera manual. Per tant, l’objectiu d’aquest projecte, és realitzar un programa que els hi faciliti la seva activitat. Aquest programa els permetrà gestionar les dades que utilitzen, com la informació sobre els clients, personal, comandes... També s’ha desenvolupat una web que permet obtenir informació sobre les comandes que s’han realitzat. Aquesta aplicació està dissenyada per funcionar en l’entorn Windows XP i s’ha desenvolupat amb el compilador de CodeGear Rad Studio, concretament el C++ Builder 2009. A nivell de base de dades, he utilitzat MySQL i en el cas de la pàgina web, PHP i lamateixa base de dades. L’anàlisi i el disseny ha estat fet en UML.

Implementació de la metodologia Scrum en una empresa de desenvolupament de Software

L’organització de la producció és sempre un factor clau en qualsevol empresa. No hi ha cap fórmula magistral que pugui servir per a tothom, perquè aquesta és molt depenent del sector i de la mida. Softvic S.A., l’empresa on treballo, em va demanar que implantés un sistema d’organització adequat a una empresa de desenvolupament de Software. Les empreses d’aquesta tipologia tenen dues característiques diferenciadores respecte una empresa de fabricació: les feines es fan una única vegada i es redefineixen freqüentment els projectes a fer al futur. És a dir, els requisits són inestables i requereixen rapidesa i flexibilitat. Actualment, Softvic S.A. ja té la ISO 9001:2008 al departament de programació. Aquesta ISO contempla com es creen les ordres de programació (OP) i ordres d’incidència (OI) i com es registra i avalua la feina realitzada. L’objectiu és implantar una metodologia que s’encarregui de la part anterior a aquesta, és a dir, definir les feines a fer en un període. Això s’ha d’integrar perfectament amb la part ja recolzada per la ISO. Per aquest fet es va escollir la metodologia Scrum que complia tots els requisits esmentats i estava contrastada per diferents empreses del món del Software. Primerament es van fer proves en les quals es guardava la informació en un Excel i s’imprimien manualment les feines a realitzar. Un cop es va haver decidit quina informació era útil i quina no en el cas de Softvic, es va crear una base de dades amb les taules i camps necessaris. Per treballar de forma més còmoda es va fer posteriorment un programa per a mantenir les dades i un formulari per imprimir etiquetes. A mesura que hem anat utilitzant la metodologia Scrum, hem anat ajustant aspectes cap on hem cregut convenient pel nostre cas en particular.

Social reciprocity measures based on dyadic discrepancies: Methodological review and software development

This paper examines statistical analysis of social reciprocity at group, dyadic, and individual levels. Given that testing statistical hypotheses regarding social reciprocity can be also of interest, a statistical procedure based on Monte Carlo sampling has been developed and implemented in R in order to allow social researchers to describe groups and make statistical decisions.

Mobile robot experimental modeling and control strategies using sensor fusion

This research work deals with the problem of modeling and design of low level speed controller for the mobile robot PRIM. The main objective is to develop an effective educational, and research tool. On one hand, the interests in using the open mobile platform PRIM consist in integrating several highly related subjects to the automatic control theory in an educational context, by embracing the subjects of communications, signal processing, sensor fusion and hardware design, amongst others. On the other hand, the idea is to implement useful navigation strategies such that the robot can be served as a mobile multimedia information point. It is in this context, when navigation strategies are oriented to goal achievement, that a local model predictive control is attained. Hence, such studies are presented as a very interesting control strategy in order to develop the future capabilities of the system. In this context the research developed includes the visual information as a meaningful source that allows detecting the obstacle position coordinates as well as planning the free obstacle trajectory that should be reached by the robot

Maximum likelihood Linear Programming Data Fusion for Speaker Recognition

Biometric system performance can be improved by means of data fusion. Several kinds of information can be fused in order to obtain a more accurate classification (identification or verification) of an input sample. In this paper we present a method for computing the weights in a weighted sum fusion for score combinations, by means of a likelihood model. The maximum likelihood estimation is set as a linear programming problem. The scores are derived from a GMM classifier working on a different feature extractor. Our experimental results assesed the robustness of the system in front a changes on time (different sessions) and robustness in front a change of microphone. The improvements obtained were significantly better (error bars of two standard deviations) than a uniform weighted sum or a uniform weighted product or the best single classifier. The proposed method scales computationaly with the number of scores to be fussioned as the simplex method for linear programming.

An efficient algorithm to perform multiple testing in epistasis screening

Background: Research in epistasis or gene-gene interaction detection for human complex traits has grown over the last few years. It has been marked by promising methodological developments, improved translation efforts of statistical epistasis to biological epistasis and attempts to integrate different omics information sources into the epistasis screening to enhance power. The quest for gene-gene interactions poses severe multiple-testing problems. In this context, the maxT algorithm is one technique to control the false-positive rate. However, the memory needed by this algorithm rises linearly with the amount of hypothesis tests. Gene-gene interaction studies will require a memory proportional to the squared number of SNPs. A genome-wide epistasis search would therefore require terabytes of memory. Hence, cache problems are likely to occur, increasing the computation time. In this work we present a new version of maxT, requiring an amount of memory independent from the number of genetic effects to be investigated. This algorithm was implemented in C++ in our epistasis screening software MBMDR-3.0.3. We evaluate the new implementation in terms of memory efficiency and speed using simulated data. The software is illustrated on real-life data for Crohn’s disease. Results: In the case of a binary (affected/unaffected) trait, the parallel workflow of MBMDR-3.0.3 analyzes all gene-gene interactions with a dataset of 100,000 SNPs typed on 1000 individuals within 4 days and 9 hours, using 999 permutations of the trait to assess statistical significance, on a cluster composed of 10 blades, containing each four Quad-Core AMD Opteron(tm) Processor 2352 2.1 GHz. In the case of a continuous trait, a similar run takes 9 days. Our program found 14 SNP-SNP interactions with a multiple-testing corrected p-value of less than 0.05 on real-life Crohn’s disease (CD) data. Conclusions: Our software is the first implementation of the MB-MDR methodology able to solve large-scale SNP-SNP interactions problems within a few days, without using much memory, while adequately controlling the type I error rates. A new implementation to reach genome-wide epistasis screening is under construction. In the context of Crohn’s disease, MBMDR-3.0.3 could identify epistasis involving regions that are well known in the field and could be explained from a biological point of view. This demonstrates the power of our software to find relevant phenotype-genotype higher-order associations.

MyTopRoom : Aplicación para Android: Buscador de ofertas de hoteles

El objetivo de este proyecto es el desarrollo de una aplicación móvil para dispositivos con sistema operativo Android que permita la búsqueda de ofertas de hotel de una forma diferente a las actuales. Para ello se ha empleado el modelo del ciclo de vida en cascada, con las fases de análisis, diseño, construcción y pruebas del sistema desarrollado. El software final sigue una arquitectura de tipo cliente/servidor y ha sido realizado con Java como lenguaje base de programación, haciendo uso de algunas librerías como Apache HTTP Request para las conexiones con el servidor remoto como las propias de Android, que facilitan la creación de interfaces gráficas y la gestión de los recursos de los dispositivos en el desarrollo de aplicaciones móviles.

An Improved Hybrid Model for the Generic Hoist Scheduling Problem

Peer-reviewed

Contracting with free software communities

Industry and large Agencies needs ¿agile¿ programming resources, to reinforce their own development staff and take advantage of innovative approaches produced by ¿fresh minds¿ all over the world. At the same time they may be reluctant to engage in classical software development call for tenders and contracts. Such contracts are often ¿trusted¿ by large ICT firms, which will deliver according to their own rigid frameworks (often based on alliances with proprietary software vendors), may propose comfortable quality assurances, but will cover their (real) risks and liability with high contingency costs and will charge for any change request in case the original specifications have not fixed all possible issues. Introducing FLOSS in business implies a new contracting philosophy, based on incentives rather than penalties and liability. Based on 2011 experience with a large Space Agency, Patrice-Emmanuel Schmitz pictures the needed legal instruments for a novel approach.

A programming environment having three levels of complexity for mobile robotics = Entorno de programación con tres niveles de complejidad para robótica móvil

This paper presents a programming environment for supporting learning in STEM, particularly mobile robotic learning. It was designed to maintain progressive learning for people with and without previous knowledge of programming and/or robotics. The environment was multi platform and built with open source tools. Perception, mobility, communication, navigation and collaborative behaviour functionalities can be programmed for different mobile robots. A learner is able to programme robots using different programming languages and editor interfaces: graphic programming interface (basic level), XML-based meta language (intermediate level) or ANSI C language (advanced level). The environment supports programme translation transparently into different languages for learners or explicitly on learners’ demand. Learners can access proposed challenges and learning interfaces by examples. The environment was designed to allow characteristics such as extensibility, adaptive interfaces, persistence and low software/hardware coupling. Functionality tests were performed to prove programming environment specifications. UV BOT mobile robots were used in these tests

CISNE-P: a global scheduling oriented to NOW environments

In this work, we present an integral scheduling system for non-dedicated clusters, termed CISNE-P, which ensures the performance required by the local applications, while simultaneously allocating cluster resources to parallel jobs. Our approach solves the problem efficiently by using a social contract technique. This kind of technique is based on reserving computational resources, preserving a predetermined response time to local users. CISNE-P is a middleware which includes both a previously developed space-sharing job scheduler and a dynamic coscheduling system, a time sharing scheduling component. The experimentation performed in a Linux cluster shows that these two scheduler components are complementary and a good coordination improves global performance significantly. We also compare two different CISNE-P implementations: one developed inside the kernel, and the other entirely implemented in the user space.

Improving Information Problem Solving skills in Secondary Education through embedded instruction

This empirical study consists in an investigation of the effects, on the development of Information Problem Solving (IPS) skills, of a long-term embedded, structured and supported instruction in Secondary Education. Forty secondary students of 7th and 8th grades (13–15 years old) participated in the 2-year IPS instruction designed in this study. Twenty of them participated in the IPS instruction, and the remaining twenty were the control group. All the students were pre- and post-tested in their regular classrooms, and their IPS process and performance were logged by means of screen capture software, to warrant their ecological validity. The IPS constituent skills, the web search sub-skills and the answers given by each participant were analyzed. The main findings of our study suggested that experimental students showed a more expert pattern than the control students regarding the constituent skill ‘defining the problem’ and the following two web search sub-skills: ‘search terms’ typed in a search engine, and ‘selected results’ from a SERP. In addition, scores of task performance were statistically better in experimental students than in control group students. The paper contributes to the discussion of how well-designed and well-embedded scaffolds could be designed in instructional programs in order to guarantee the development and efficiency of the students’ IPS skills by using net information better and participating fully in the global knowledge society.

VariScan Software

VariScan is a software package for the analysis of DNA sequence polymorphisms at the whole genome scale. Among other features, the software:(1) can conduct many population genetic analyses; (2) incorporates a multiresolution wavelet transform-based method that allows capturing relevant information from DNA polymorphism data; and (3) it facilitates the visualization of the results in the most commonly used genome browsers.

Spontaneous Speech and Emotional Response modeling based on One-class classifier oriented to Alzheimer Disease diagnosis

The purpose of our project is to contribute to earlier diagnosis of AD and better estimates of its severity by using automatic analysis performed through new biomarkers extracted from non-invasive intelligent methods. The methods selected in this case are speech biomarkers oriented to Sponta-neous Speech and Emotional Response Analysis. Thus the main goal of the present work is feature search in Spontaneous Speech oriented to pre-clinical evaluation for the definition of test for AD diagnosis by One-class classifier. One-class classifi-cation problem differs from multi-class classifier in one essen-tial aspect. In one-class classification it is assumed that only information of one of the classes, the target class, is available. In this work we explore the problem of imbalanced datasets that is particularly crucial in applications where the goal is to maximize recognition of the minority class as in medical diag-nosis. The use of information about outlier and Fractal Dimen-sion features improves the system performance.