953 resultados para natural user interface


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El TFC consiste en diseñar e implementar una base de datos para ser utilizada por la Generalitat de Cataluña y que permita a esta, mediante una aplicación que se conecte a ella y sirva de capa de negocio e interfaz con el usuario, gestionar las amonestaciones y sanciones en los centros educativos de la comunidad.

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En un projecte anterior es va desenvolupar una aplicació web amb Java on s'implementava un simulador de granges de llet. L'objectiu d'aquest projecte és desenvolupar una interfície d'usuari per a dispositius mòbils que permeti interactuar amb les mateixes granges virtuals.

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A traditional photonic-force microscope (PFM) results in huge sets of data, which requires tedious numerical analysis. In this paper, we propose instead an analog signal processor to attain real-time capabilities while retaining the richness of the traditional PFM data. Our system is devoted to intracellular measurements and is fully interactive through the use of a haptic joystick. Using our specialized analog hardware along with a dedicated algorithm, we can extract the full 3D stiffness matrix of the optical trap in real time, including the off-diagonal cross-terms. Our system is also capable of simultaneously recording data for subsequent offline analysis. This allows us to check that a good correlation exists between the classical analysis of stiffness and our real-time measurements. We monitor the PFM beads using an optical microscope. The force-feedback mechanism of the haptic joystick helps us in interactively guiding the bead inside living cells and collecting information from its (possibly anisotropic) environment. The instantaneous stiffness measurements are also displayed in real time on a graphical user interface. The whole system has been built and is operational; here we present early results that confirm the consistency of the real-time measurements with offline computations.

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This final year project presents the design principles and prototype implementation of BIMS (Biomedical Information Management System), a flexible software system which provides an infrastructure to manage all information required by biomedical research projects.The BIMS project was initiated with the motivation to solve several limitations in medical data acquisition of some research projects, in which Universitat Pompeu Fabra takes part. These limitations,based on the lack of control mechanisms to constraint information submitted by clinicians, impact on the data quality, decreasing it.BIMS can easily be adapted to manage information of a wide variety of clinical studies, not being limited to a given clinical specialty. The software can manage both, textual information, like clinical data (measurements, demographics, diagnostics, etc ...), as well as several kinds of medical images (magnetic resonance imaging, computed tomography, etc ...). Moreover, BIMS provides a web - based graphical user interface and is designed to be deployed in a distributed andmultiuser environment. It is built on top of open source software products and frameworks.Specifically, BIMS has been used to represent all clinical data being currently used within the CardioLab platform (an ongoing project managed by Universitat Pompeu Fabra), demonstratingthat it is a solid software system, which could fulfill requirements of a real production environment.

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Tässä insinöörityössä selvitettiin mahdollisuuksia parantaa Tapiola-ryhmän Yhtiökokousjärjestelmä-ohjelmiston ominaisuuksia ja tietoturvallisuutta. Järjestelmää käytetään Tapiola-ryhmän vakuutusyhtiöiden yhtiökokouksiin osallistuvien osakkaiden kirjaamiseen ja heidän äänten laskentaan. Tutkimuksen perusteella tehtiin järjestelmän määrittely ja suunnittelu, joiden tuloksena syntyivät toiminnallinen ja tekninen määrittelydokumentaatio, jotka toimivat pohjana uuden Yhtiökokousjärjestelmän toteutukselle. Työ tehtiin Tapiola-ryhmälle Tieto-Tapiola Oy:n tilauksesta. Työn alussa tutkittiin erilaisia mahdollisuuksia toteuttaa järjestelmän ohjelmisto- ja tietokanta-arkkitehtuuri, joiden perusteella määrittelyä ja suunnittelua alettiin toteuttaa. Tutkimuksen perusteella päädyttiin käyttämään Java SE -arkkitehtuuria sovelluksen toteutukseen ja SQL Server -tietokantaa järjestelmän tietovarastona. Valittuihin ratkaisuihin päädyttiin niiden hyvien tietoturvallisuus- ja kertakirjausominaisuuksien takia. Toiminnallisessa määrittelydokumentissa käydään läpi järjestelmälle asetettuja vaatimuksia ja kuvataan sen toiminnot, liiketoimintaluokkamalli, käyttöliittymä ja tulosteet. Lisäksi siinä otetaan kantaa järjestelmän käyttöympäristöön, ulkoisiin tietokantaliittymiin, käyttäjän tunnistautumiseen ja tietoturvallisuuteen sekä käydään läpi sen toiminta käyttäjien näkökulmasta. Toiminnallisen määrittelydokumentin pohjalta luotiin tekninen määrittelydokumentti. Siinä kuvataan järjestelmän ympäristö ja ohjelmisto- sekä tietokanta-arkkitehtuuri yleisellä tasolla. Tämän lisäksi järjestelmän arkkitehtuuria käydään myös tarkemmin läpi sekä kuvataan moduulit ja toiminnot niin tarkasti, että niiden perusteella voidaan toteuttaa koko järjestelmä. Työn tuloksena syntyivät kattava toiminnallinen ja tekninen määrittelydokumentaatio, joissa käydään läpi kaikki järjestelmän toteuttamiseen tarvittavat elementit sillä tarkkuudella, että järjestelmän toteuttaminen voidaan aloittaa.

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Tämä insinöörityö tehtiin ABB Oy, Drivesin Product AC -tulosyksikön tuotekehitysosastolle Helsingissä. Työssä kehitettiin taajuusmuuttajien suorituskyvyn automaattinen testausympäristö. ABB:n taajuusmuuttajien suorituskykytestejä ei ole aikaisemmin automatisoitu. Testit on tehty käsin ja niiden suorittamiseen ja tulosten käsittelyyn on kulunut paljon aikaa. Automaattisella testauksella pyrittiin testien suorittamiseen ja tulosten käsittelyyn kuluvan ajan huomattavaan pienentymiseen. Työssä ei ollut tarkoituksena tehdä suorituskykytestejä vaan kehittää automaattinen testausympäristö eli suorituskykytestipenkki, jossa suorituskykytestit on mahdollista suorittaa. Työssä keskityttiin taajuusmuuttajan nopeus- ja momenttisäätäjien suorituskykyyn. Työ toteutettiin suunnittelu- ja ohjelmointityönä. Testausympäristön laitteisto perustuu ABB:n tuotekehityslaboratorioiden olemassaoleviin testipaikkoihin. Testausympäristössä käytetään taajuusmuuttajien lisäksi pääasiassa kolmivaiheisia oikosulkumoottoreita. Lisäksi laitteistoon kuuluu ACS800-sarjan taajuusmuuttaja kuormakäyttönä, momenttianturi ja takometri eli kierrosnopeusmittari. Ohjelmointi tehtiin National Instrumentsin LabVIEW-ohjelmointiympäristön versiolla 8.0. Testausympäristön käyttöliittymänä toimii saman yrityksen TestStand-testausohjelmiston versio 3.5. Testattavien taajuusmuuttajien ohjausta ja momenttianturin lukemista varten ohjelmoitiin virtuaali-instrumentteja. Virtuaali-instrumentteja kutsutaan TestStand-testisekvensseistä. Testisekvenssit luodaan TestStandin sekvenssieditorilla ja suoritetaan sekvenssieditorissa tai operaattorin käyttöliittymässä. Työn tuloksena syntyi taajuusmuuttajien suorituskyvyn automaattinen testausympäristö. Testausympäristöä voidaan hyödyntää sekä nykyisen että seuraavan sukupolven taajuusmuuttajien testauksessa. Sillä on mahdollista suorittaa yleisimmät taajuusmuuttajien suorituskykytestit, kuten nopeus- ja momenttisäätöjen staattinen ja dynaaminen tarkkuus, hyvin kattavasti. Testit voidaan automaattisesti suorittaa koko testikäytön sallimalla pyörimisnopeus- ja kuormitusalueella. Näytteenottotaajuus voi olla enintään 1 kHz luettaessa pyörimisnopeutta ACS800-sarjan taajuusmuuttajan kautta ja momenttianturia samanaikaisesti. Virtuaali-instrumenteista koostuvia testisekvenssejä voidaan vapaasti muokata ja kehittää testejä edelleen tai luoda kokonaan uusia testejä. Testausympäristö perustuu teollisuudessa yleisesti käytettyihin ohjelmistoihin ja tarjoaa hyvät mahdollisuudet jatkokehitykselle.

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The MyHits web site (http://myhits.isb-sib.ch) is an integrated service dedicated to the analysis of protein sequences. Since its first description in 2004, both the user interface and the back end of the server were improved. A number of tools (e.g. MAFFT, Jacop, Dotlet, Jalview, ESTScan) were added or updated to improve the usability of the service. The MySQL schema and its associated API were revamped and the database engine (HitKeeper) was separated from the web interface. This paper summarizes the current status of the server, with an emphasis on the new services.

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Statistical computing when input/output is driven by a Graphical User Interface is considered. A proposal is made for automatic control ofcomputational flow to ensure that only strictly required computationsare actually carried on. The computational flow is modeled by a directed graph for implementation in any object-oriented programming language with symbolic manipulation capabilities. A complete implementation example is presented to compute and display frequency based piecewise linear density estimators such as histograms or frequency polygons.

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The aim of this project is to accomplish an application software based on Matlab to calculate the radioelectrical coverage by surface wave of broadcast radiostations in the band of Medium Wave (WM) all around the world. Also, given the location of a transmitting and a receiving station, the software should be able to calculate the electric field that the receiver should receive at that specific site. In case of several transmitters, the program should search for the existence of Inter-Symbol Interference, and calculate the field strenght accordingly. The application should ask for the configuration parameters of the transmitter radiostation within a Graphical User Interface (GUI), and bring back the resulting coverage above a map of the area under study. For the development of this project, it has been used several conductivity databases of different countries, and a high-resolution elevation database (GLOBE). Also, to calculate the field strenght due to groundwave propagation, it has been used ITU GRWAVE program, which must be integrated into a Matlab interface to be used by the application developed.

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Tot seguit presentem un entorn per analitzar senyals de tot tipus amb LDB (Local Discriminant Bases) i MLDB (Modified Local Discriminant Bases). Aquest entorn utilitza funcions desenvolupades en el marc d’una tesi en fase de desenvolupament. Per entendre part d’aquestes funcions es requereix un nivell de coneixement avançat de processament de senyals. S’han extret dels treballs realitzats per Naoki Saito [3], que s’han agafat com a punt de partida per la realització de l’algorisme de la tesi doctoral no finalitzada de Jose Antonio Soria. Aquesta interfície desenvolupada accepta la incorporació de nous paquets i funcions. Hem deixat un menú preparat per integrar Sinus IV packet transform i Cosine IV packet transform, tot i que també podem incorporar-n’hi altres. L’aplicació consta de dues interfícies, un Assistent i una interfície principal. També hem creat una finestra per importar i exportar les variables desitjades a diferents entorns. Per fer aquesta aplicació s’han programat tots els elements de les finestres, en lloc d’utilitzar el GUIDE (Graphical User Interface Development Enviroment) de MATLAB, per tal que sigui compatible entre les diferents versions d’aquest programa. En total hem fet 73 funcions en la interfície principal (d’aquestes, 10 pertanyen a la finestra d’importar i exportar) i 23 en la de l’Assistent. En aquest treball només explicarem 6 funcions i les 3 de creació d’aquestes interfícies per no fer-lo excessivament extens. Les funcions que explicarem són les més importants, ja sigui perquè s’utilitzen sovint, perquè, segons la complexitat McCabe, són les més complicades o perquè són necessàries pel processament del senyal. Passem cada entrada de dades per part de l’usuari per funcions que ens detectaran errors en aquesta entrada, com eliminació de zeros o de caràcters que no siguin números, com comprovar que són enters o que estan dins dels límits màxims i mínims que li pertoquen.

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Images acquired using optical microscopes are inherently subject to vignetting effects due to imperfect illumination and image acquisition. However, such vignetting effects hamper accurate extraction of quantitative information from biological images, leading to less effective image segmentation and increased noise in the measurements. Here, we describe a rapid and effective method for vignetting correction, which generates an estimate for a correction function from the background fluorescence without the need to acquire additional calibration images. We validate the usefulness of this algorithm using artificially distorted images as a gold standard for assessing the accuracy of the applied correction and then demonstrate that this correction method enables the reliable detection of biologically relevant variation in cell populations. A simple user interface called FlattifY was developed and integrated into the image analysis platform YeastQuant to facilitate easy application of vignetting correction to a wide range of images.

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Amplified Fragment Length Polymorphisms (AFLPs) are a cheap and efficient protocol for generating large sets of genetic markers. This technique has become increasingly used during the last decade in various fields of biology, including population genomics, phylogeography, and genome mapping. Here, we present RawGeno, an R library dedicated to the automated scoring of AFLPs (i.e., the coding of electropherogram signals into ready-to-use datasets). Our program includes a complete suite of tools for binning, editing, visualizing, and exporting results obtained from AFLP experiments. RawGeno can either be used with command lines and program analysis routines or through a user-friendly graphical user interface. We describe the whole RawGeno pipeline along with recommendations for (a) setting the analysis of electropherograms in combination with PeakScanner, a program freely distributed by Applied Biosystems; (b) performing quality checks; (c) defining bins and proceeding to scoring; (d) filtering nonoptimal bins; and (e) exporting results in different formats.

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Extracorporeal life support systems (ECLS) have become common in cardiothoracic surgery, but are still "Terra Incognita" in other medical fields due to the fact that perfusion units are normally bound to cardiothoracic centres. The Lifebridge B2T is an ECLS that is meant to be used as an easy and fast-track extracorporeal cardiac support to provide short-term perfusion for the transport of a patient to a specialized centre. With the Lifebridge B2T it is now possible to provide extracorporeal bypass for patients in hospitals without a perfusion unit. The Lifebridge B2T was tested on three calves to analyze the handling, performance and security of this system. The Lifebridge B2T safely can be used clinically and can provide full extracorporeal support for patients in cardiac or pulmonary failure. Flows up to 3.9 +/- 0.2l/min were reached, with an inflow pressure of -103 +/- 13mmHg, using a 21Fr. BioMedicus (Medtronic, Minneapolis, MN, USA) venous cannula. The "Plug and Play" philosophy, with semi-automatic priming, integrated check-list, a long battery time of over two hours and instinctively designed user interface, makes this device very interesting for units with high-risk interventions, such as catheterisation labs. If a system is necessary in an emergency unit, the Lifebridge can provide a high security level, even in centres not acquainted with cardiopulmonary bypass.

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Interdependence is the main feature of dyadic relationships and, in recent years, various statistical procedures have been proposed for quantifying and testing this social attribute in different dyadic designs. The purpose of this paper is to develop several functions for this kind of statistical tests in an R package, known as nonindependence, for use by applied social researchers. A Graphical User Interface (GUI) is also developed to facilitate the use of the functions included in this package. Examples drawn from psychological research and simulated data are used to illustrate how the software works.

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Introduction: The field of Connectomic research is growing rapidly, resulting from methodological advances in structural neuroimaging on many spatial scales. Especially progress in Diffusion MRI data acquisition and processing made available macroscopic structural connectivity maps in vivo through Connectome Mapping Pipelines (Hagmann et al, 2008) into so-called Connectomes (Hagmann 2005, Sporns et al, 2005). They exhibit both spatial and topological information that constrain functional imaging studies and are relevant in their interpretation. The need for a special-purpose software tool for both clinical researchers and neuroscientists to support investigations of such connectome data has grown. Methods: We developed the ConnectomeViewer, a powerful, extensible software tool for visualization and analysis in connectomic research. It uses the novel defined container-like Connectome File Format, specifying networks (GraphML), surfaces (Gifti), volumes (Nifti), track data (TrackVis) and metadata. Usage of Python as programming language allows it to by cross-platform and have access to a multitude of scientific libraries. Results: Using a flexible plugin architecture, it is possible to enhance functionality for specific purposes easily. Following features are already implemented: * Ready usage of libraries, e.g. for complex network analysis (NetworkX) and data plotting (Matplotlib). More brain connectivity measures will be implemented in a future release (Rubinov et al, 2009). * 3D View of networks with node positioning based on corresponding ROI surface patch. Other layouts possible. * Picking functionality to select nodes, select edges, get more node information (ConnectomeWiki), toggle surface representations * Interactive thresholding and modality selection of edge properties using filters * Arbitrary metadata can be stored for networks, thereby allowing e.g. group-based analysis or meta-analysis. * Python Shell for scripting. Application data is exposed and can be modified or used for further post-processing. * Visualization pipelines using filters and modules can be composed with Mayavi (Ramachandran et al, 2008). * Interface to TrackVis to visualize track data. Selected nodes are converted to ROIs for fiber filtering The Connectome Mapping Pipeline (Hagmann et al, 2008) processed 20 healthy subjects into an average Connectome dataset. The Figures show the ConnectomeViewer user interface using this dataset. Connections are shown that occur in all 20 subjects. The dataset is freely available from the homepage (connectomeviewer.org). Conclusions: The ConnectomeViewer is a cross-platform, open-source software tool that provides extensive visualization and analysis capabilities for connectomic research. It has a modular architecture, integrates relevant datatypes and is completely scriptable. Visit www.connectomics.org to get involved as user or developer.