933 resultados para information management


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Coordenao de Aperfeioamento de Pessoal de Nvel Superior (CAPES)

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Ps-graduao em Cincia da Informao - FFC

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Ps-graduao em Cincia da Informao - FFC

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The study of population structure by pedigree analysis is useful to identify important circumstances that affect the genetic history of populations. The intensive use of a small number of superior individuals may reduce the genetic diversity of populations. This situation is very common for the beef cattle breeds. Therefore, the objectives of the present study were to analyze the pedigree and possible inbreeding depression on traits of economic interest in the Marchigiana and Bonsmara breeds and to test the inclusion of the individual inbreeding coefficient (F-i) or individual increases in inbreeding coefficient (Delta F-i) in the genetic evaluation model for the quantification of inbreeding depression. The complete pedigree file of the Marchigiana breed included 29,411 animals born between 1950 and 2003. For the Bonsmara breed, the pedigree file included 18,695 animals born between 1988 and 2006. Only animals with at least 2 equivalent generations of known pedigree were kept in the analyses of inbreeding effect on birth weight, weaning weight measured at about 205 d, and BW at 14 mo in the Marchigiana breed, and on birth weight, weaning weight, and scro-tal circumference measured at 12 mo in the Bonsmara breed. The degree of pedigree knowledge was greater for Marchigiana than for Bonsmara animals. The average generation interval was 7.02 and 3.19 for the Marchigiana and Bonsmara breed, respectively. The average inbreeding coefficient was 1.33% for Marchigiana and 0.26% for Bonsmara. The number of ancestors explaining 50% of the gene pool and effective population size computed via individual increase in coancestry were 13 and 97.79 for Marchigiana and 41 and 54.57 for Bonsmara, respectively. These estimates indicate reduction in genetic variability in both breeds. Inbreeding depression was observed for most of the growth traits. The model including Delta F-i can be considered more adequate to quantify inbreeding depression. The inclusion of F-i or Delta F-i in the genetic evaluation model may not result in better fit to the data. A genetic evaluation with simultaneous estimation of inbreeding depression can be performed in Marchigiana and Bonsmara breeds, providing additional information to producers and breeders.

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A competitividade, atualmente, introduz novos comportamentos e leva empresas a uma situao de desconforto e, muitas vezes, a no adaptao s exigncias ambientais. Percebe-se um crescente nmero de desafios associados com o controle de informao em organizaes com atividades de engenharia, em particular os volumes crescentes de informao de natureza continuamente mutvel. Pode-se afirmar que o desempenho inovador de uma organizao diretamente proporcional a sua capacidade de gerenciar informaes. Desta forma, a importncia da gesto da informao reconhecida em detrimento da procura de meios mais competentes para atender demandas atuais. O artigo teve como propsito analisar doze processos dependentes de informao em empresas de base tecnolgica, atravs das principais fases do processo de gerenciamento da informao. Optou-se pelo emprego do mtodo comparativo de casos e pela pesquisa qualitativa, realizada em nove empresas de base tecnolgica, as quais se encontravam incubadas ou que passaram recentemente pela fase de incubao no Parque Tecnolgico da cidade de So Carlos, do estado de So Paulo. Entre os principais resultados, constatou-se que, nas empresas graduadas, a gesto da informao e seus procedimentos foram identificados de forma mais consciente e estruturados em relao s empresas incubadas.

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<p>[ES] El objetivo de este Trabajo Final de Grado (TFG) es la creacin de un prototipo de aplicacin web para la gestin de recursos geoespaciales. Esta propuesta surgi a partir de la necesidad de disponer de una herramienta que no tuviera que ser instalada en un dispositivo, sino servida por un servidor web, permitiendo su acceso desde cualquier parte y dispositivo. El resultado fue el Gestor Web de Recursos Geoespaciales con Tecnologa OpenLayers, una aplicacin que combina diversas herramientas (OpenLayers, GeoServer, PostgreSQL, jQuery) todas ellas basadas en Software Libre para cumplir funcionalidades como la creacin de primitivas vectoriales sobre un mapa, gestin y visualizacin de la informacin asociada, edicin de estilos, modificacin de coordenadas, etc. siendo todas stas funcionalidades caractersticas de un Sistema de Informacin Geogrfica (SIG) y ofreciendo una interfaz de uso cmoda y eficaz, que abstraiga al usuario de detalles internos y complejos. El material desarrollado dispone del potencial necesario para convertirse en una solucin a las necesidades de gestin de informacin geoespacial de la ULPGC, especialmente en el campus de Tafira, sobre el que se ha ejemplificado su uso. Adems, a diferencia de las herramientas ofertadas por empresas como Google o Microsoft, esta aplicacin est por completo bajo una licencia GNU GPL v3, lo que permite que se pueda indagar dentro de su cdigo, mejorarlo y aadir funcionalidades a cualquier persona interesada.</p>

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The term Ambient Intelligence (AmI) refers to a vision on the future of the information society where smart, electronic environment are sensitive and responsive to the presence of people and their activities (Context awareness). In an ambient intelligence world, devices work in concert to support people in carrying out their everyday life activities, tasks and rituals in an easy, natural way using information and intelligence that is hidden in the network connecting these devices. This promotes the creation of pervasive environments improving the quality of life of the occupants and enhancing the human experience. AmI stems from the convergence of three key technologies: ubiquitous computing, ubiquitous communication and natural interfaces. Ambient intelligent systems are heterogeneous and require an excellent cooperation between several hardware/software technologies and disciplines, including signal processing, networking and protocols, embedded systems, information management, and distributed algorithms. Since a large amount of fixed and mobile sensors embedded is deployed into the environment, the Wireless Sensor Networks is one of the most relevant enabling technologies for AmI. WSN are complex systems made up of a number of sensor nodes which can be deployed in a target area to sense physical phenomena and communicate with other nodes and base stations. These simple devices typically embed a low power computational unit (microcontrollers, FPGAs etc.), a wireless communication unit, one or more sensors and a some form of energy supply (either batteries or energy scavenger modules). WNS promises of revolutionizing the interactions between the real physical worlds and human beings. Low-cost, low-computational power, low energy consumption and small size are characteristics that must be taken into consideration when designing and dealing with WSNs. To fully exploit the potential of distributed sensing approaches, a set of challengesmust be addressed. Sensor nodes are inherently resource-constrained systems with very low power consumption and small size requirements which enables than to reduce the interference on the physical phenomena sensed and to allow easy and low-cost deployment. They have limited processing speed,storage capacity and communication bandwidth that must be efficiently used to increase the degree of local understanding of the observed phenomena. A particular case of sensor nodes are video sensors. This topic holds strong interest for a wide range of contexts such as military, security, robotics and most recently consumer applications. Vision sensors are extremely effective for medium to long-range sensing because vision provides rich information to human operators. However, image sensors generate a huge amount of data, whichmust be heavily processed before it is transmitted due to the scarce bandwidth capability of radio interfaces. In particular, in video-surveillance, it has been shown that source-side compression is mandatory due to limited bandwidth and delay constraints. Moreover, there is an ample opportunity for performing higher-level processing functions, such as object recognition that has the potential to drastically reduce the required bandwidth (e.g. by transmitting compressed images only when something interesting is detected). The energy cost of image processing must however be carefully minimized. Imaging could play and plays an important role in sensing devices for ambient intelligence. Computer vision can for instance be used for recognising persons and objects and recognising behaviour such as illness and rioting. Having a wireless camera as a camera mote opens the way for distributed scene analysis. More eyes see more than one and a camera system that can observe a scene from multiple directions would be able to overcome occlusion problems and could describe objects in their true 3D appearance. In real-time, these approaches are a recently opened field of research. In this thesis we pay attention to the realities of hardware/software technologies and the design needed to realize systems for distributed monitoring, attempting to propose solutions on open issues and filling the gap between AmI scenarios and hardware reality. The physical implementation of an individual wireless node is constrained by three important metrics which are outlined below. Despite that the design of the sensor network and its sensor nodes is strictly application dependent, a number of constraints should almost always be considered. Among them: Small form factor to reduce nodes intrusiveness. Low power consumption to reduce battery size and to extend nodes lifetime. Low cost for a widespread diffusion. These limitations typically result in the adoption of low power, low cost devices such as low powermicrocontrollers with few kilobytes of RAMand tenth of kilobytes of program memory with whomonly simple data processing algorithms can be implemented. However the overall computational power of the WNS can be very large since the network presents a high degree of parallelism that can be exploited through the adoption of ad-hoc techniques. Furthermore through the fusion of information from the dense mesh of sensors even complex phenomena can be monitored. In this dissertation we present our results in building several AmI applications suitable for a WSN implementation. The work can be divided into two main areas:Low Power Video Sensor Node and Video Processing Alghoritm and Multimodal Surveillance . Low Power Video Sensor Nodes and Video Processing Alghoritms In comparison to scalar sensors, such as temperature, pressure, humidity, velocity, and acceleration sensors, vision sensors generate much higher bandwidth data due to the two-dimensional nature of their pixel array. We have tackled all the constraints listed above and have proposed solutions to overcome the current WSNlimits for Video sensor node. We have designed and developed wireless video sensor nodes focusing on the small size and the flexibility of reuse in different applications. The video nodes target a different design point: the portability (on-board power supply, wireless communication), a scanty power budget (500mW),while still providing a prominent level of intelligence, namely sophisticated classification algorithmand high level of reconfigurability. We developed two different video sensor node: The device architecture of the first one is based on a low-cost low-power FPGA+microcontroller system-on-chip. The second one is based on ARM9 processor. Both systems designed within the above mentioned power envelope could operate in a continuous fashion with Li-Polymer battery pack and solar panel. Novel low power low cost video sensor nodes which, in contrast to sensors that just watch the world, are capable of comprehending the perceived information in order to interpret it locally, are presented. Featuring such intelligence, these nodes would be able to cope with such tasks as recognition of unattended bags in airports, persons carrying potentially dangerous objects, etc.,which normally require a human operator. Vision algorithms for object detection, acquisition like human detection with Support Vector Machine (SVM) classification and abandoned/removed object detection are implemented, described and illustrated on real world data. Multimodal surveillance: In several setup the use of wired video cameras may not be possible. For this reason building an energy efficient wireless vision network for monitoring and surveillance is one of the major efforts in the sensor network community. Energy efficiency for wireless smart camera networks is one of the major efforts in distributed monitoring and surveillance community. For this reason, building an energy efficient wireless vision network for monitoring and surveillance is one of the major efforts in the sensor network community. The Pyroelectric Infra-Red (PIR) sensors have been used to extend the lifetime of a solar-powered video sensor node by providing an energy level dependent trigger to the video camera and the wireless module. Such approach has shown to be able to extend node lifetime and possibly result in continuous operation of the node.Being low-cost, passive (thus low-power) and presenting a limited form factor, PIR sensors are well suited for WSN applications. Moreover techniques to have aggressive power management policies are essential for achieving long-termoperating on standalone distributed cameras needed to improve the power consumption. We have used an adaptive controller like Model Predictive Control (MPC) to help the system to improve the performances outperforming naive power management policies.

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Il progetto di ricerca che presentiamo nasce dalla virtuosa combinazione di teoria e prassi didattica nello spirito della ricerca-azione. Scopo del presente lavoro elaborare un percorso didattico di formazione alla traduzione specializzata in ambito medico-scientifico, tecnico ed economico-giuridico per la combinazione linguistica spagnolo-italiano allinterno della cornice istituzionale concreta delluniversit italiana oggi. La nostra proposta formativa si fonda su tre elementi: la ricognizione del mercato attuale della traduzione per la combinazione linguistica indicata, lindividuazione degli obiettivi formativi in base al modello di competenza traduttiva scelto, lelaborazione del percorso didattico per competenze e basato sullenfoque por tareas di traduzione. Nella progettazione delle modalit didattiche due sono gli aspetti che definiscono il percorso proposto: il concetto di genere testuale specializzato per la traduzione e la gestione delle informazioni mediante le nuove tecnologie (corpora, banche dati terminologiche e fraseologiche, memorie di traduzione, traduzione controllata). Il presente lavoro si articola in due parti: la prima parte (quattro capitoli) presenta linquadramento teorico allinterno del quale si sviluppa la riflessione intorno alla didattica della traduzione specializzata; la seconda parte (due capitoli) presenta linquadramento metodologico e analitico allinterno del quale si elabora la nostra proposta didattica. Nel primo capitolo si illustrano i rapporti fra traduzione e mondo professionale; nel secondo capitolo si presenta il concetto di competenza traduttiva come ponte tra la formazione e il mondo della traduzione professionale; nel terzo capitolo si ripercorrono le tappe principali dellevoluzione della didattica della traduzione generale; nel quarto capitolo illustriamo alcune tra le pi recenti e complete proposte didattiche per la traduzione specializzata in ambito tecnico, medico-scientifico ed economico-giuridico. Nel quinto capitolo si introduce il concetto di genere testuale specializzato per la traduzione e nel sesto capitolo si illustra la proposta didattica per la traduzione specializzata dallo spagnolo in italiano che ha motivato il presente lavoro.

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In this contribution the experiences with e-Learning 2.0 applications by using a Wiki for the education in hydraulic engineering are shown. Up to now important information for the students has been prepared by the instructor. For this project the students were asked to collaborate and search on their own for the information they needed. Therefore a Wiki-system was used. For the engineering practice a self dependent realisation of tasks is an important requirement which students should be prepared for. With the help of online communication there should be shown the possibilities for students for working together in an interdisciplinary team. The positive experiences as well as the results of the evaluation of this project plead for a continuation of the application of e-Learning 2.0 for education. The comparison of results of tests without using Wiki and with using Wiki shows a qualitative tendency of better marks. In this contribution we present the application of Wiki in hydraulic engineering but the results can also be used for other engineering disciplines.

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Der CampusSource Workshop fand vom 10. bis 12. Oktober 2006 an der Westflischen Wilhelms Universitt (WWU) in Mnster statt. Kernpunkte der Veranstaltung waren die Entwicklung einer Engine zur Verknpfung von e-Learning Anwendungen mit Systemen der HIS GmbH und die Erstellung von Lehr- und Lerninhalten mit dem Ziel der Wiederverwendung. Im zweiten Kapitel sind Vortrge der Veranstaltung im Adobe Flash Format zusammengetragen. Zur Betrachtung der Vortrge ist der Adobe Flash Player, mindestens in der Version 6 erforderlich

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Dieser Beitrag beschreibt die Konzeption, den Funktionsumfang und Erfahrungswerte der Open-Source-eLearning-Plattform Stud.IP. Der Funktionsumfang umfasst fr jede einzelne Veranstaltung Ablaufplne, das Hochladen von Hausarbeiten, Diskussionsforen, persnliche Homepages, Chatrume u.v.a. Ziel ist es hierbei, eine Infrastruktur des Lehrens und Lernens anzubieten, die dem Stand der Technik entspricht. Wissenschaftliche Einrichtungen finden zudem eine leistungsstarke Umgebung zur Verwaltung ihres Personals, Pflege ihrer Webseiten und der automatischer Erstellung von Veranstaltungs- oder Personallisten vor. Betreiber knnen auf ein verlssliches Supportsystem zugreifen, dass sie an der Weiterentwicklung durch die Entwickler- und Betreiber-Community teilhaben lsst.

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As education providers increasingly integrate digital learning media into their education processes, the need for the systematic management of learning materials and learning arrangements becomes clearer. Digital repositories, often called Learning Object Repositories (LOR), promise to provide an answer to this challenge. This article is composed of two parts. In this part, we derive technological and pedagogical requirements for LORs from a concretization of information quality criteria for e-learning technology. We review the evolution of learning object repositories and discuss their core features in the context of pedagogical requirements, information quality demands, and e-learning technology standards. We conclude with an outlook in Part 2, which presents concrete technical solutions, in particular networked repository architectures.

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Die kurzen Technologiezyklen in der IT-Industrie stellen Unternehmen vor das Problem, Mitarbeiter zeit- und themenadquat weiter zu qualifizieren. Fr Bildungsanbieter erwchst damit die Herausforderung, relevante Bildungsthemen mglichst frhzeitig zu identifizieren, konomisch zu bewerten und ausgewhlte Themen in Form geeigneter Bildungsangebote zur Marktreife zu bringen. Zur Handhabung dieser Problematik wurde an der Hochschule fr Telekommunikation Leipzig (HfTL), die sich in Trgerschaft der Deutsche Telekom AG befindet, ein innovatives Analyseinstrument entwickelt. Mit diesem Instrument, dem IT-KompetenzBarometer, werden Stellenanzeigen, die in Jobportalen online publiziert werden, ausgelesen und mithilfe von Text Mining-Methoden untersucht. Auf diese Weise knnen Informationen gewonnen werden, die differenzierte Auskunft ber die qualitativen Kompetenzanforderungen zentraler Berufsbilder des IT-Sektors liefern. Dieser Beitrag stellt Ergebnisse vor, die durch Analyse von mehr als 40.000 Stellenanzeigen fr IT-Fachkrfte aus Jobportalen im Zeitraum von Juni-September 2012 gewonnen werden konnten. Diese Ergebnisse liefern eine Informationsgrundlage, um marktrelevante Bildungsthemen zu identifizieren, sodass Bildungsangebote erfolgreich gestaltet und weiterentwickelt werden knnen.

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The idea of xMOOCs initially aimed at fundamentally changing the US tertiary education system by providing open mass education. This attempt failed for a number of reasons. They include: the ignorance of the importance and benefits of face-to-face instruction, the high workload imposed on students by xMOOCs, the consequences of current xMOOC didactics, the financing of the high costs, and the difficulties of integration into the teaching organization. As a consequence, xMOOCs are turning into methods for professional continuing education including a business model that covers the institutions cost.