913 resultados para Weak Localization


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“Tourism’s very existence depends on transport. Still, researchers in transportation and logistics do not show much interest in tourism whereas travel and tourism researchers pay more attention to accessibility than to transport.” These were the opening sentences of the call for papers for the TTRA European Chapter Conference “Transport and Tourism: Challenges, Issues and Conflicts” held in Rotterdam and Breda, The Netherlands from 22 to 24 April 2009.

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When an accurate hydraulic network model is available, direct modeling techniques are very straightforward and reliable for on-line leakage detection and localization applied to large class of water distribution networks. In general, this type of techniques based on analytical models can be seen as an application of the well-known fault detection and isolation theory for complex industrial systems. Nonetheless, the assumption of single leak scenarios is usually made considering a certain leak size pattern which may not hold in real applications. Upgrading a leak detection and localization method based on a direct modeling approach to handle multiple-leak scenarios can be, on one hand, quite straightforward but, on the other hand, highly computational demanding for large class of water distribution networks given the huge number of potential water loss hotspots. This paper presents a leakage detection and localization method suitable for multiple-leak scenarios and large class of water distribution networks. This method can be seen as an upgrade of the above mentioned method based on a direct modeling approach in which a global search method based on genetic algorithms has been integrated in order to estimate those network water loss hotspots and the size of the leaks. This is an inverse / direct modeling method which tries to take benefit from both approaches: on one hand, the exploration capability of genetic algorithms to estimate network water loss hotspots and the size of the leaks and on the other hand, the straightforwardness and reliability offered by the availability of an accurate hydraulic model to assess those close network areas around the estimated hotspots. The application of the resulting method in a DMA of the Barcelona water distribution network is provided and discussed. The obtained results show that leakage detection and localization under multiple-leak scenarios may be performed efficiently following an easy procedure.

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Uma vez que as perspectivas de crescimento económico nos países mais desenvolvidos, como a Europa, os EUA eo Japão estão diminuindo, os mercados emergentes têm se tornado cada vez mais importante para muitas empresas multinacionais. Brasil, Rússia, Índia e China (BRICs) são agora os principais mercados em crescimento em todo o mundo e as empresas estão buscando estratégias para explorar ao máximo o potencial de consumo promissor nessas regiões. Um dos modos mais elaborados de prosseguir essa estratégia é conhecida como "localização" - uma adaptação das práticas de negócios (ao longo de toda a cadeia de suprimentos) com as preferências e condições locais. Este artigo é projetado para analisar as atividades de localização de empresas multinacionais no Brasil. O foco da análise é o de investigar as características do mercado brasileiro, que induzem as multinacionais a localizar o seu marketing mix (composto de produto, preço, colocação e promoção). Em dois estudos de casos com a empresa Suiça Nestlé e a empresa Alemã Volkswagen vários padrões de localização foram no mercado consumidor brasileiro. Os quatro resultados mais significativos da análise são os diferentes padrões sociais o Brasil, que forçar as empresas a reformular certas funções do seu mix de marketing (por exemplo, a colocação no caso da Nestlé), a aceitação dos consumidores brasileiros a pagar preços relativamente elevados (por exemplo, taxas de Volkswagen até 100% mais por seus produtos em relação à Alemanha); o enorme tamanho do Brasil ea infra-estrutura deficiente, que exigem uma abordagem de distribuição localizada; eo caráter atualmente ainda menos exigente dos estratos de consumidores brasileiros emergentes, que permitem às empresas oferecer produtos menos sofisticados em comparação aos mercados europeus.

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This dissertation deals with the problem of making inference when there is weak identification in models of instrumental variables regression. More specifically we are interested in one-sided hypothesis testing for the coefficient of the endogenous variable when the instruments are weak. The focus is on the conditional tests based on likelihood ratio, score and Wald statistics. Theoretical and numerical work shows that the conditional t-test based on the two-stage least square (2SLS) estimator performs well even when instruments are weakly correlated with the endogenous variable. The conditional approach correct uniformly its size and when the population F-statistic is as small as two, its power is near the power envelopes for similar and non-similar tests. This finding is surprising considering the bad performance of the two-sided conditional t-tests found in Andrews, Moreira and Stock (2007). Given this counter intuitive result, we propose novel two-sided t-tests which are approximately unbiased and can perform as well as the conditional likelihood ratio (CLR) test of Moreira (2003).

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SANTANA, André M.; SOUZA, Anderson A. S.; BRITTO, Ricardo S.; ALSINA, Pablo J.; MEDEIROS, Adelardo A. D. Localization of a mobile robot based on odometry and natural landmarks using extended Kalman Filter. In: INTERNATIONAL CONFERENCE ON INFORMATICS IN CONTROL, AUTOMATION AND ROBOTICS, 5., 2008, Funchal, Portugal. Proceedings... Funchal, Portugal: ICINCO, 2008.

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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

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The aim of this study was to evaluate the tendency of displacement of the supporting structures of the distal extension removable partial denture (DERPD) associated to the implant with different inclinations of alveolar ridge and implant localizations through a two-dimensional finite-element method. Sixteen mandibular models were fabricated, presenting horizontal, distally descending, distally ascending, or descending-ascending ridges. All models presented the left canine and were rehabilitated with conventional DERPD or implant-retained prosthesis with the ERA system. The models were obtained by the AutoCAD software and transferred to the finite-element software ANSYS 9.0 for analysis. A force of 50 N was applied on the cusp tips of the teeth, with 5 points of loading of 10 N. The results were visualized by displacement maps. For all ridge inclinations, the assembly of the DERPD with distal plate retained by an anterior implant exhibited the lowest requisition of the supporting structures. The highest tendency of displacement occurred in the model with distally ascending ridge with incisal rest. It was concluded that the association of the implant decreased the displacement of the DERPD, and the anterior positioning of the implant associated to the DERPD with the distal plate preserved the supporting structures for all ridges.