3 resultados para Prime

em Repositório Institucional da Universidade de Aveiro - Portugal


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Ao longo das ltimas dcadas, a micromoldao (u-moldao) por injeo de termoplsticos ganhou um lugar de destaque no mercado de equipamentos eletrnicos e de uma ampla gama de componentes mecnicos. No entanto, quando o tamanho do componente diminui, os pressupostos geralmente aceites na moldao por injeo convencional deixam de ser vlidos para descrever o comportamento reolgico e termomecnico do polmero na microimpresso. Por isso, a compreenso do comportamento dinmico do polmero escala micro bem como da sua caraterizao, anlise e previso das propriedades mecnicas exige uma investigao mais alargada. O objetivo principal deste programa doutoral passa por uma melhor compreenso do fenmeno fsico intrnseco ao processo da -moldao por injeo. Para cumprir com o objetivo estabelecido, foi efetuado um estudo paramtrico do processo de -moldao por injeo, cujos resultados foram comparados com os resultados obtidos por simulao numrica. A caracterizao dinmica mecnica das -peas foi efetuada com o objetivo de recolher os dados necessrios para a previso do desempenho mecnico das mesmas, a longo prazo. Finalmente, depois da calibrao do modelo matemtico do polmero, foram realizadas anlises estruturais com o intuito de prever o desempenho mecnico das -peas no longo prazo. Verificou-se que o desempenho mecnico das -peas pode ser significativamente afetado pelas tenses residuais de origem mecnica e trmica. Estas ltimas, resultantes do processo de fabrico e das condies de processamento, por isso, devem ser consideradas na previso do desempenho mecnico e do tempo de servio das u-moldaes.

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Future emerging market trends head towards positioning based services placing a new perspective on the way we obtain and exploit positioning information. On one hand, innovations in information technology and wireless communication systems enabled the development of numerous location based applications such as vehicle navigation and tracking, sensor networks applications, home automation, asset management, security and context aware location services. On the other hand, wireless networks themselves may bene t from localization information to improve the performances of di erent network layers. Location based routing, synchronization, interference cancellation are prime examples of applications where location information can be useful. Typical positioning solutions rely on measurements and exploitation of distance dependent signal metrics, such as the received signal strength, time of arrival or angle of arrival. They are cheaper and easier to implement than the dedicated positioning systems based on ngerprinting, but at the cost of accuracy. Therefore intelligent localization algorithms and signal processing techniques have to be applied to mitigate the lack of accuracy in distance estimates. Cooperation between nodes is used in cases where conventional positioning techniques do not perform well due to lack of existing infrastructure, or obstructed indoor environment. The objective is to concentrate on hybrid architecture where some nodes have points of attachment to an infrastructure, and simultaneously are interconnected via short-range ad hoc links. The availability of more capable handsets enables more innovative scenarios that take advantage of multiple radio access networks as well as peer-to-peer links for positioning. Link selection is used to optimize the tradeo between the power consumption of participating nodes and the quality of target localization. The Geometric Dilution of Precision and the Cramer-Rao Lower Bound can be used as criteria for choosing the appropriate set of anchor nodes and corresponding measurements before attempting location estimation itself. This work analyzes the existing solutions for node selection in order to improve localization performance, and proposes a novel method based on utility functions. The proposed method is then extended to mobile and heterogeneous environments. Simulations have been carried out, as well as evaluation with real measurement data. In addition, some speci c cases have been considered, such as localization in ill-conditioned scenarios and the use of negative information. The proposed approaches have shown to enhance estimation accuracy, whilst signi cantly reducing complexity, power consumption and signalling overhead.

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Deep-sea bivalves found at hydrothermal vents, cold seeps and organic falls are sustained by chemosynthetic bacteria that ensure part or all of their carbon nutrition. These symbioses are of prime importance for the functioning of the ecosystems. Similar symbioses occur in other bivalve species living in shallow and coastal reduced habitats worldwide. In recent years, several deep-sea species have been investigated from continental margins around Europe, West Africa, eastern Americas, the Gulf of Mexico, and from hydrothermal vents on the Mid-Atlantic Ridge. In parallel, numerous, more easily accessible shallow marine species have been studied. Herein we provide a summary of the current knowledge available on chemosymbiotic bivalves in the area ranging west-to-east from the Gulf of Mexico to the Sea of Marmara, and north-to-south from the Arctic to the Gulf of Guinea. Characteristics of symbioses in 53 species from the area are summarized for each of the five bivalve families documented to harbor chemosynthetic symbionts (Mytilidae, Vesicomyidae, Solemyidae, Thyasiridae and Lucinidae). Comparisons are made between the families, with special emphasis on ecology, life cycle, and connectivity. Chemosynthetic symbioses are a major adaptation to ecosystems and habitats exposed to reducing conditions. However, relatively little is known regarding their diversity and functioning, apart from a few model species on which effort has focused over the last 30 yr. In the context of increasing concern about biodiversity and ecosystems, and increasing anthropogenic pressure on oceans, we advocate a better assessment of the diversity of bivalve symbioses in order to evaluate the capacities of these remarkable ecological and evolutionary units to withstand environmental change.