22 resultados para Datum
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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Pós-graduação em Ciência da Informação - FFC
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Pós-graduação em Odontologia Preventiva e Social - FOA
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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
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Este artigo tem o objetivo de analisar as conseqüências da implementação do Fundo de Manutenção e Desenvolvimento do Ensino Fundamental e Valorização do Magistério (FUNDEF) na oferta da educação básica nos municípios de Limeira e Santa Gertrudes (SP) no tocante à dinâmica de responsabilidade entre Estado e Municípios e à composição dos gastos em educação, durante os anos de 1996 a 2002. Para tanto, realizou-se levantamento e análise bibliográfica relacionada ao tema e pesquisa documental junto aos órgãos de administração municipal para coleta e análise de dados empíricos. Este trabalho é resultante de um projeto estadual intitulado Acompanhamento da Implantação do Fundef no estado de São Paulo, a ele vincula-se uma pesquisa nacional sobre a Implantação do Fundef em onze estados brasileiros.
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The goal of this paper is to present a methodology for quality control of horizontal geodetic networks through robustness and covariance analysis. In the proposed methodology, the positional accuracy of each point is estimated by a possible bias in their position (based on robustness analysis), in addition to its own positional precision (uncertainty) (through covariance analysis), being a measure independently from the choice of the datum. Besides presenting the theoretical development of the method, its application is demonstrated in a numerical example. The results indicate that, in general, the greater the distance of an unknown point to the control(s) point(s) of the network, the greater is the propagation of random errors on this unknown point, and the smaller the number of redundant observations around a unknown point, the greater the influence of possible (undetected) non-random errors on this point.
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Currently, the need of reliable coordinates has been one of the main objectives of the scientific and practice community. Thus, the robustness analysis of a geodetic network, aims, at analyzing if the network is robust or not, based on the maximum undetectable errors. The network will be robust if the influence of these errors is small, otherwise it is weak, or not robust. This analysis is performed with the merger of two techniques, one which deals with the statistical analysis of reliability and the other one with the geometric strength analysis. The reliability analysis will provide the maximum error that cannot be detected by tests, after the adjustment. After finding these errors, the geometric strength analysis will determine the potential strain that the network will have, based on these errors. It is emphasized that the robustness analysis doesn't depend of the datum, reflecting only the geometry of the network and the accuracy of the observations (VANÌCEK et al., 2001). Therefore, this work aims at contributing to the scientific research on geodetic networks, checking the same, based on their geometry and observations.