A compositional data analysis package for R providing multiple approaches

”compositions” is a new R-package for the analysis of compositional and positive data.It contains four classes corresponding to the four different types of compositional andpositive geometry (including the Aitchison geometry). It provides means for computation,plotting and high-level multivariate statistical analysis in all four geometries.These geometries are treated in an fully analogous way, based on the principle of workingin coordinates, and the object-oriented programming paradigm of R. In this way,called functions automatically select the most appropriate type of analysis as a functionof the geometry. The graphical capabilities include ternary diagrams and tetrahedrons,various compositional plots (boxplots, barplots, piecharts) and extensive graphical toolsfor principal components. Afterwards, ortion and proportion lines, straight lines andellipses in all geometries can be added to plots. The package is accompanied by ahands-on-introduction, documentation for every function, demos of the graphical capabilitiesand plenty of usage examples. It allows direct and parallel computation inall four vector spaces and provides the beginner with a copy-and-paste style of dataanalysis, while letting advanced users keep the functionality and customizability theydemand of R, as well as all necessary tools to add own analysis routines. A completeexample is included in the appendix

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

News from compositions, the R package

The R-package “compositions”is a tool for advanced compositional analysis. Its basicfunctionality has seen some conceptual improvement, containing now some facilitiesto work with and represent ilr bases built from balances, and an elaborated subsys-tem for dealing with several kinds of irregular data: (rounded or structural) zeroes,incomplete observations and outliers. The general approach to these irregularities isbased on subcompositions: for an irregular datum, one can distinguish a “regular” sub-composition (where all parts are actually observed and the datum behaves typically)and a “problematic” subcomposition (with those unobserved, zero or rounded parts, orelse where the datum shows an erratic or atypical behaviour). Systematic classificationschemes are proposed for both outliers and missing values (including zeros) focusing onthe nature of irregularities in the datum subcomposition(s).To compute statistics with values missing at random and structural zeros, a projectionapproach is implemented: a given datum contributes to the estimation of the desiredparameters only on the subcompositon where it was observed. For data sets withvalues below the detection limit, two different approaches are provided: the well-knownimputation technique, and also the projection approach.To compute statistics in the presence of outliers, robust statistics are adapted to thecharacteristics of compositional data, based on the minimum covariance determinantapproach. The outlier classification is based on four different models of outlier occur-rence and Monte-Carlo-based tests for their characterization. Furthermore the packageprovides special plots helping to understand the nature of outliers in the dataset.Keywords: coda-dendrogram, lost values, MAR, missing data, MCD estimator,robustness, rounded zeros

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.

Variability of ascending aorta diameter measurements as assessed with electrocardiography-gated multidetector computerized tomography and computer assisted diagnosis software.

Recently, morphometric measurements of the ascending aorta have been done with ECG-gated multidector computerized tomography (MDCT) to help the development of future novel transcatheter therapies (TCT); nevertheless, the variability of such measurements remains unknown. Thirty patients referred for ECG-gated CT thoracic angiography were evaluated. Continuous reformations of the ascending aorta, perpendicular to the centerline, were obtained automatically with a commercially available computer aided diagnosis (CAD). Then measurements of the maximal diameter were done with the CAD and manually by two observers (separately). Measurements were repeated one month later. The Bland-Altman method, Spearman coefficients, and a Wilcoxon signed-rank test were used to evaluate the variability, the correlation, and the differences between observers. The interobserver variability for maximal diameter between the two observers was up to 1.2 mm with limits of agreement [-1.5, +0.9] mm; whereas the intraobserver limits were [-1.2, +1.0] mm for the first observer and [-0.8, +0.8] mm for the second observer. The intraobserver CAD variability was 0.8 mm. The correlation was good between observers and the CAD (0.980-0.986); however, significant differences do exist (P<0.001). The maximum variability observed was 1.2 mm and should be considered in reports of measurements of the ascending aorta. The CAD is as reproducible as an experienced reader.

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.

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.

The connectome mapper: an open-source processing pipeline to map connectomes with MRI.

Researchers working in the field of global connectivity analysis using diffusion magnetic resonance imaging (MRI) can count on a wide selection of software packages for processing their data, with methods ranging from the reconstruction of the local intra-voxel axonal structure to the estimation of the trajectories of the underlying fibre tracts. However, each package is generally task-specific and uses its own conventions and file formats. In this article we present the Connectome Mapper, a software pipeline aimed at helping researchers through the tedious process of organising, processing and analysing diffusion MRI data to perform global brain connectivity analyses. Our pipeline is written in Python and is freely available as open-source at www.cmtk.org.

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).