PRIM an Open Mobile Robot Platform. Motivation, Present and Future Trends

This paper is focused on the robot mobile platform PRIM (platform robot information multimedia). This robot has been made in order to cover two main needs of our group, on one hand the need for a full open mobile robotic platform that is very useful in fulfilling the teaching and research activity of our school community, and on the other hand with the idea of introducing an ethical product which would be useful as mobile multimedia information point as a service tool. This paper introduces exactly how the system is made up and explains just what the philosophy is behind this work. The navigation strategies and sensor fusion, where machine vision system is the most important one, are oriented towards goal achievement and are the key to the behaviour of the robot

Responsabilitat social i ambiental d’empreses multinacionals tèxtils: observatori ambiental

El treball tracta d’ explicar quines són les conseqüències sobre la societat i el medi ambient dels països que reben els processos productius de les empreses tèxtils deslocalitzades. El treball es divideix en: una part teòrica, on es fa un breu recorregut per la història del tèxtil i una relació entre medi ambient -indústria tèxtil i multinacionals tèxtils-societat. I en una part pràctica, on s’ analitzen les deu empreses amb major índex de vendes de roba a Espanya i també es comfigura un índex d’ ètica d’ empresa en termes socials i ambientals. Aquest treball pretén ser una eina per a futurs treballs d’ educació per al consum, per tal que els consumidors puguin escollir uns o altres productes, tenint en compte variables que vagin més enllà del renom de la marca, el preu o els colors atraients dels envasos que els contenen

Monitoring procedures in environmental geochemistry and compositional data analysis theory

First discussion on compositional data analysis is attributable to Karl Pearson, in 1897. However, notwithstanding the recent developments on algebraic structure of the simplex, more than twenty years after Aitchison’s idea of log-transformations of closed data, scientific literature is again full of statistical treatments of this type of data by using traditional methodologies. This is particularly true in environmental geochemistry where besides the problem of the closure, the spatial structure (dependence) of the data have to be considered. In this work we propose the use of log-contrast values, obtained by a simplicial principal component analysis, as LQGLFDWRUV of given environmental conditions. The investigation of the log-constrast frequency distributions allows pointing out the statistical laws able to generate the values and to govern their variability. The changes, if compared, for example, with the mean values of the random variables assumed as models, or other reference parameters, allow defining monitors to be used to assess the extent of possible environmental contamination. Case study on running and ground waters from Chiavenna Valley (Northern Italy) by using Na+, K+, Ca2+, Mg2+, HCO3-, SO4 2- and Cl- concentrations will be illustrated