47 resultados para Barcelona (Catalonia : Metropolitan area)


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Paleogene sediments of this region represent a significant source of water for urban, industrial and agricultural activities. This basin is part of the Southeastern Brazilian Continental Rift, which occupies a large portion of this geographical area. This study aims to present the evolution of the natural Paleogene landscape, through an analysis of its stratigraphic intcrops and underground portions based on the concept of facies and facies associations. A total of nine clastic and separate lithofacies were recognized and grouped into two main facies associations. These data suggest the existence of two depositional interdigitated systems: fluvial braided fans, which were predominant in parts of the northern and central area, and another composed of lacustrine sediments found in its central-south region. The paleogeography herein outlined will help considerably in the detection of new areas for mineral and water resources prospection, as well as in urban planning projects of this region.

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The prediction of the traffic behavior could help to make decision about the routing process, as well as enables gains on effectiveness and productivity on the physical distribution. This need motivated the search for technological improvements in the Routing performance in metropolitan areas. The purpose of this paper is to present computational evidences that Artificial Neural Network ANN could be use to predict the traffic behavior in a metropolitan area such So Paulo (around 16 million inhabitants). The proposed methodology involves the application of Rough-Fuzzy Sets to define inference morphology for insertion of the behavior of Dynamic Routing into a structured rule basis, without human expert aid. The dynamics of the traffic parameters are described through membership functions. Rough Sets Theory identifies the attributes that are important, and suggest Fuzzy relations to be inserted on a Rough Neuro Fuzzy Network (RNFN) type Multilayer Perceptron (MLP) and type Radial Basis Function (RBF), in order to get an optimal surface response. To measure the performance of the proposed RNFN, the responses of the unreduced rule basis are compared with the reduced rule one. The results show that by making use of the Feature Reduction through RNFN, it is possible to reduce the need for human expert in the construction of the Fuzzy inference mechanism in such flow process like traffic breakdown. © 2011 IEEE.

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Pós-graduação em Artes - IA

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Pós-graduação em Engenharia Elétrica - FEIS

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Pós-graduação em Geografia - FCT

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Pós-graduação em História - FCHS

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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Pós-graduação em Medicina Veterinária - FMVZ

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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)