XML-based information management environment for PE technologies

Printed electronics is an emerging concept in electronics manufacturing and it is in very early development stage. The technology is not stable, design kits are not developed, and flows and Computer Aided Design (CAD) tools are not fixed yet. The European project TDK4PE addresses all this issues and this PFC has been realized on this context. The goal is to develop an XML-based information system for the collection and management of information from the technology and cell libraries developed in TDK4PE. This system will ease the treatment of that information for a later generation of specific Design Kits (DK) and the corresponding documentation. This work proposes a web application to generate technology files and design kits in a formatted way; it also proposes a structure for them and a database implementation for storing the needed information. The application will allow its users to redefine the structure of those files, as well as export and import XML files, between other formats.

An embedded real-time red peach detection system based on an OV7670 camera, ARM Cortex-M4 processor and 3D Look-Up Tables

This work proposes the development of an embedded real-time fruit detection system for future automatic fruit harvesting. The proposed embedded system is based on an ARM Cortex-M4 (STM32F407VGT6) processor and an Omnivision OV7670 color camera. The future goal of this embedded vision system will be to control a robotized arm to automatically select and pick some fruit directly from the tree. The complete embedded system has been designed to be placed directly in the gripper tool of the future robotized harvesting arm. The embedded system will be able to perform real-time fruit detection and tracking by using a three-dimensional look-up-table (LUT) defined in the RGB color space and optimized for fruit picking. Additionally, two different methodologies for creating optimized 3D LUTs based on existing linear color models and fruit histograms were implemented in this work and compared for the case of red peaches. The resulting system is able to acquire general and zoomed orchard images and to update the relative tracking information of a red peach in the tree ten times per second.

Innovative LIDAR 3D dynamic measurement system to estimate fruit-tree leaf area

In this work, a LIDAR-based 3D Dynamic Measurement System is presented and evaluated for the geometric characterization of tree crops. Using this measurement system, trees were scanned from two opposing sides to obtain two three-dimensional point clouds. After registration of the point clouds, a simple and easily obtainable parameter is the number of impacts received by the scanned vegetation. The work in this study is based on the hypothesis of the existence of a linear relationship between the number of impacts of the LIDAR sensor laser beam on the vegetation and the tree leaf area. Tests performed under laboratory conditions using an ornamental tree and, subsequently, in a pear tree orchard demonstrate the correct operation of the measurement system presented in this paper. The results from both the laboratory and field tests confirm the initial hypothesis and the 3D Dynamic Measurement System is validated in field operation. This opens the door to new lines of research centred on the geometric characterization of tree crops in the field of agriculture and, more specifically, in precision fruit growing.

Model-based objects recognition in man-made environments

We describe a model-based objects recognition system which is part of an image interpretation system intended to assist autonomous vehicles navigation. The system is intended to operate in man-made environments. Behavior-based navigation of autonomous vehicles involves the recognition of navigable areas and the potential obstacles. The recognition system integrates color, shape and texture information together with the location of the vanishing point. The recognition process starts from some prior scene knowledge, that is, a generic model of the expected scene and the potential objects. The recognition system constitutes an approach where different low-level vision techniques extract a multitude of image descriptors which are then analyzed using a rule-based reasoning system to interpret the image content. This system has been implemented using CEES, the C++ embedded expert system shell developed in the Systems Engineering and Automatic Control Laboratory (University of Girona) as a specific rule-based problem solving tool. It has been especially conceived for supporting cooperative expert systems, and uses the object oriented programming paradigm

Application for fault location in electrical power distribution systems

Fault location has been studied deeply for transmission lines due to its importance in power systems. Nowadays the problem of fault location on distribution systems is receiving special attention mainly because of the power quality regulations. In this context, this paper presents an application software developed in Matlabtrade that automatically calculates the location of a fault in a distribution power system, starting from voltages and currents measured at the line terminal and the model of the distribution power system data. The application is based on a N-ary tree structure, which is suitable to be used in this application due to the highly branched and the non- homogeneity nature of the distribution systems, and has been developed for single-phase, two-phase, two-phase-to-ground, and three-phase faults. The implemented application is tested by using fault data in a real electrical distribution power system

Sistema de control ambiental flexible per a la indústria agroalimentària (SCAFIA)

El present treball està basat en el desenvolupament d¿un sistema que permeti fer una demostració pràctica i útil amb els materials que l¿àrea de sistemes encastats posa a la nostra disposició. De forma resumida es tracta de motes/nodes amb possibilitat de comunicació inhalàmbrica entre ells i un sistema operatiu TinyOS programable amb el llenguatge nesC.

Disseny i aplicació del protocol d'instal·lació d'energia fotovoltaica en edificis aïllats de la xarxa elèctrica al PNAP

En el perímetre del parc es troben gran nombre d’edificacions amb mancances de subministrament elèctric per la gran dispersió de la població de la comarca. L’objectiu d’aquest estudi és desenvolupar un protocol per determinar la viabilitat de l’energia fotovoltaica en edificis aïllats i aplicar-la de forma pilot a dos edificis gestionats pels responsables del Parc Natural de l’Alt Pirineu: el Centre de Logística i Manteniment (CLM) i el Refugi del Fornet. Aquests han estat escollits per la seva representativitat com a edificis aïllats de la xarxa elèctrica convencional. S’ha elaborat una metodologia pròpia, el Protocol d’instal·lació d’energia fotovoltaica en edificis aïllats de la xarxa elèctrica. S’ha realitzat una anàlisi de sensibilitats del dimensionat fotovoltaic davant la modificació de diversos paràmetres rellevants. Això ha permès determinar les característiques òptimes de viabilitat per als dos edificis en estudi i el cost de la instal·lació fotovoltaica (17.183€ el CLM i 164.815 € el Refugi del Fornet). Els resultats obtinguts en els dos edificis pilot han mostrat el gran cost relatiu entre l’energia fotovoltaica i l’energia elèctrica produïda a partir de combustibles fòssils.

Realización de una aplicación gráfica (Sniffer), en entorno GNU,que analice todo el tráfico de una red informática.

Es pretén desenvolupar una eina orientada principalment, que no exclusivament, a finalitats educatives, el propòsit general és mostrar a l'usuari informació detallada de cadascun dels protocols capturats per l'aplicació, ajudant a comprendre que s'amaga darrere de cadascun d'ells.

Analizador Gráfico de Red (sniffer) enentorno GNU

Es pretén desenvolupar una eina orientada principalment, que no exclusivament, a finalitats educatives, el propòsit general és mostrar a l'usuari informació detallada de cadascun dels protocols capturats per l'aplicació, ajudant a comprendre que s'amaga darrere de cadascun d'ells.

COINE Project : Cultural Objects in Networked Environments

La idea subjacent al Projecte de Recerca i Desenvolupament COINE és permetre a la gent contar les seves pròpies històries. COINE pretén proporcionar les eines necessàries per crear estructuradament, un entorn basat en el World Wide Web, que permeti compartir continguts. Els resultats del Projecte ajudaran al desenvolupament d'estàndards per a la implantació i la recuperació estructurades de recursos digitals en entorns en xarxa distribuïda. El Projecte de COINE s'inicià el març de 2002 i finalitzà l'agost de 2004. Avui en dia estem al WorkPackage 5 on estem construint el Sistema, el programari i les interfícies. COINE pretén cobrir la gamma més àmplia possible d'usuaris potencials, des d'organitzacions de patrimoni cultural i institucions de qualsevol mida (principalment biblioteques, arxius i museus) fins a individus de qualsevol edat sense habilitats en l'ús de les TIC, o a grups petits de ciutadans. Els usuaris no utilitzaran només COINE com a eina de cerca, sinó que contribuiran amb el seu propi contingut.

Large-Area Photo-Mosaics Using Global Alignment and Navigation Data

Seafloor imagery is a rich source of data for the study of biological and geological processes. Among several applications, still images of the ocean floor can be used to build image composites referred to as photo-mosaics. Photo-mosaics provide a wide-area visual representation of the benthos, and enable applications as diverse as geological surveys, mapping and detection of temporal changes in the morphology of biodiversity. We present an approach for creating globally aligned photo-mosaics using 3D position estimates provided by navigation sensors available in deep water surveys. Without image registration, such navigation data does not provide enough accuracy to produce useful composite images. Results from a challenging data set of the Lucky Strike vent field at the Mid Atlantic Ridge are reported

Minimizing recombinations in consensus networks for phylogeographic studies

Background: We address the problem of studying recombinational variations in (human) populations. In this paper, our focus is on one computational aspect of the general task: Given two networks G1 and G2, with both mutation and recombination events, defined on overlapping sets of extant units the objective is to compute a consensus network G3 with minimum number of additional recombinations. We describe a polynomial time algorithm with a guarantee that the number of computed new recombination events is within ϵ = sz(G1, G2) (function sz is a well-behaved function of the sizes and topologies of G1 and G2) of the optimal number of recombinations. To date, this is the best known result for a network consensus problem.Results: Although the network consensus problem can be applied to a variety of domains, here we focus on structure of human populations. With our preliminary analysis on a segment of the human Chromosome X data we are able to infer ancient recombinations, population-specific recombinations and more, which also support the widely accepted 'Out of Africa' model. These results have been verified independently using traditional manual procedures. To the best of our knowledge, this is the first recombinations-based characterization of human populations. Conclusion: We show that our mathematical model identifies recombination spots in the individual haplotypes; the aggregate of these spots over a set of haplotypes defines a recombinational landscape that has enough signal to detect continental as well as population divide based on a short segment of Chromosome X. In particular, we are able to infer ancient recombinations, population-specific recombinations and more, which also support the widely accepted 'Out of Africa' model. The agreement with mutation-based analysis can be viewed as an indirect validation of our results and the model. Since the model in principle gives us more information embedded in the networks, in our future work, we plan to investigate more non-traditional questions via these structures computed by our methodology.

Control de la derivació de l'aigua de reg de Masjoan

RESUM Masjoan és una masia del segle XII on resideix la família Masferrer des del 1710. Actualment a Masjoan l’activitat principal és el cultiu i venta de plantes ornamentals, i l’explotació forestal per obtenir fusta. Pel que fa a l’aigua, tant per a la realització de l’activitat professional com per al subministrament de la casa, aquesta prové de mines d’aigua natural situades en la finca. L’objectiu d’aquest TFC ha estat dissenyar un sistema autònom per automatitzar el procés de derivació de l’aigua procedent d’una mina, i d’aquesta manera aprofitar millor els recursos naturals dels que és disposa. El desenvolupament d’aquest sistema, comprèn la selecció i configuració de sensors i actuadors, el disseny del circuit amb la realització de la placa, el disseny del sistema d’alimentació autònom, el software que controla el sistema, i dimensionar la resta d’elements de la instal•lació. Tot el sistema està controlat per un microcontrolador PIC16F876 i alimentat per un mòdul solar de 4W. En el disseny s’ha procurat, sobredimencionar les diferents etapes per possibles ampliacions o modificacions del sistema i que el circuit procures optimitzar el consum d’energia. Com a conclusions cal dir que s’han assolit els objectius proposats amb èxit. S’ha aconseguit un disseny funcional i estable que actualment es troba en funcionament.

Ion assisted deposition of thin films by substrate tuned radio frequency magnetron sputtering

The substrate tuning technique was applied to a radio frequency magnetron sputtering system to obtain a variable substrate bias without an additional source. The dependence of the substrate bias on the value of the external impedance was studied for different values of chamber pressure, gas composition and rf input power. A qualitative explanation of the results is given, based on a simple model, and the role of the stray capacitance is clearly disclosed. Langmuir probe measurements show that this system allows independent control of the ion flux and the ion energy bombarding the growing film. For an argon flow rate of 2.8 sccm and a radio frequency power of 300 W (intermediate values of the range studied) the ion flux incident on the substrate was 1.3 X 1020-m-2-s-1. The maximum ion energy available in these conditions can be varied in the range 30-150 eV. As a practical application of the technique, BN thin films were deposited under different ion bombardment conditions. An ion energy threshold of about 80 eV was found, below which only the hexagonal phase was present in the films, while for higher energies both hexagonal and cubic phase were present. A cubic content of about 60% was found for an ion energy of 120 V.

Probabilistic algorithms for blind adaptive multiuser detection

In this paper, two probabilistic adaptive algorithmsfor jointly detecting active users in a DS-CDMA system arereported. The first one, which is based on the theory of hiddenMarkov models (HMM’s) and the Baum–Wech (BW) algorithm,is proposed within the CDMA scenario and compared withthe second one, which is a previously developed Viterbi-basedalgorithm. Both techniques are completely blind in the sense thatno knowledge of the signatures, channel state information, ortraining sequences is required for any user. Once convergencehas been achieved, an estimate of the signature of each userconvolved with its physical channel response (CR) and estimateddata sequences are provided. This CR estimate can be used toswitch to any decision-directed (DD) adaptation scheme. Performanceof the algorithms is verified via simulations as well as onexperimental data obtained in an underwater acoustics (UWA)environment. In both cases, performance is found to be highlysatisfactory, showing the near–far resistance of the analyzed algorithms.