1000 resultados para Estatística Bayesiana
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Com vistas a contribuir e aprimorar o processo de gestão em andamento das águas subterrâneas do Estado de Rondônia, os dados de 384 resultados de análises físico-químicas e/ou bacteriológicas de poços constantes nos arquivos do 2º Zoneamento Sócio-Econômico-Ecológico do Estado de Rondônia – ZSEE/RO, apresentados por localidades, foram tratados e reorganizados por bacia hidrográfica. Buscou-se a caracterização da qualidade de águas subterrâneas nas principais bacias hidrográficas do Estado de Rondônia, considerando propriedades físicas (cor, pH e turbidez), químicas (cloreto, ferro total, sulfato, oxigênio consumido, dureza total, dureza em cálcio, dureza em magnésio, sólidos totais, nitrogênio nitrito, nitrogênio nitrato, gás carbônico livre e alcalinidade HCO3) e bacteriológicas (contagem padrão de bactérias, número mais provável de coliformes totais, número mais provável de coliformes fecais e número mais provável de colônias - método membrana filtrante). Para testar o ajuste dos dados à distribuição normal foi utilizado o método de Kolmogorov-Smirnov, modificado por Lilliefors. O estudo demonstrou que as águas subterrâneas analisadas possuem boa qualidade físico-organoléptica. As bacias dos rios Madeira e Machado apresentam maiores alterações nos valores de pH, cloreto e nitrato, caracterizando perda de qualidade dos recursos hídricos subterrâneos, em função do adensamento populacional. A bacia hidrográfica do rio Abunã caracteriza-se como a de maior risco de contaminação fecal. Em geral, as águas analisadas apresentam resultados que excedem os padrões bacteriológicos de potabilidade, necessitando de tratamento por cloração ou fervura e prévia filtração para consumo humano.
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Este trabalho objetiva contribuir para a aplicação do resíduo do tecido lenhoso de espécies vegetais tropicais, na forma de serragem, proveniente da indústria madeireira do estado do Pará, da região metropolitana de Belém em particular, para a fabricação de compósito madeira-cimento. Devido à natural incompatibilidade química entre a madeira e o cimento, este procedimento resulta em um retardamento de pega, de intensidade dependente da espécie vegetal utilizada. Este efeito pode ser combatido com diversos processos, como por exemplo, a aditivação da mistura com aceleradores de pega, a mineralização da madeira, a carbonatação acelerada, dentre outros. As análises foram feitas a partir da resistência à compressão aos 28 dias para argamassas produzidas com teores de madeira de 2, 3,5 e 5% em massa, com cimento CP I e CP II, e ainda com e sem o uso de aditivo acelerador de pega a base de cloreto de cálcio. Assim sendo, os resultados obtidos foram analisados estatisticamente para que a influência do teor de madeira e da aditivação à base de cloreto de cálcio na resistência à compressão fosse avaliada. A maioria dos trabalhos existentes utiliza espécies de clima temperado, e de reflorestamento, pouco tendo sido avaliado para espécies de clima tropical. Neste sentido, o presente trabalho representa um esforço pioneiro no desenvolvimento de compósitos madeira-cimento para os materiais e resíduos disponíveis na região Amazônica.
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Pós-graduação em Ciências Biológicas (Zoologia) - IBRC
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Pós-graduação em Matematica Aplicada e Computacional - FCT
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Pós-graduação em Matematica Aplicada e Computacional - FCT
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The classic Millikan experiment to determine the electron charge is very interesting from the point of view of statistics of experimental measurements. In a physics laboratory it is suggested to divide the obtained values of the electric charge by the value of an electron charge, and it is possible to experimentally establish that the oil droplets carry integer numbers of electrons. This work presents a new statistical algorithm for the treatment of measurements and for determining the best value of the electron charge in a Millikan experiment.
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Pós-graduação em Agronomia (Ciência do Solo) - FCAV
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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
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Pós-graduação em Matematica Aplicada e Computacional - FCT
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Dengue virus is a major public health problem worldwide. Aedes (Stegomyia) aegypti is the main dengue vector. Since there is no specific treatment or effective vaccine, control measure is focused on vector control. It is believed that population density is higher in the warmer/rainy season than in cold/dry. The study aimed to genetically characterize population dynamics of Ae. aegypti during climatic variations. Collections were performed at least once in both periods over five years by oviposition traps at Botucatu city. The technique of TaqMan allelic discrimination was used for genetic analysis, in which SNPs from nine genes distributed on three chromosomes of the mosquito were genotyped. Bayesian analysis did not show variance on population structure over the five year period. The percentage of variation among samples in statistical analysis was low (Fst = 0.0028, p = 0.7634), furthermore the allele frequencies were constant. The results show that despite wide variation in the density of adults, population size does not vary. Therefore, there is variation in the prevalence of the species life stages: adults in warmer/rainy, and possibly eggs in cold/dry, resulting in different control strategies for each period. Moreover, estimation of population size should not consider only winged adults, but all other found life stages forms
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Não disponível
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Today statistics are one of the most important bases of the engineer formation. Statistics are used indirectly every day for engineers in a large panel of sectors like construction, mechanical engineering, biological engineering, electrical engineering, computer science etc. The main goal of this report is to compare different ways the engineers of tomorrow are formed in order to show which engineering is the best practice. The comparison will be done on different universities in France, Brazil and the US on Mechanical, Civil, Electrical and Production branches. We will compare the amount of courses required, the degree of knowledge needed and the mains subjects
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Nowadays technological trend is based on finding materials that could support low weight with satisfactory mechanical properties and for this reason composite material became a very attractive topic in research projects all over the world. Due to its heterogenic properties, this type of material shows scatter in mechanical test results, especially in cyclic loading. Therefore it is important to predict its fatigue strength behaviour by statistic analysis, once fatigue causes approximately 90% of the failure in structural components. The present work aimed to investigate the fatigue behaviour of the Twill/Cycom 890 composite, which is carbon fiber reinforced with polymeric resin as matrix and manufactured via RTM process (Resin Transfer Molding). All samples were tested in different tensile level in triplicate in order to associate these values. The statistical analysis was conducted with Two-Parameter Weibull Distribution and then evaluated the fatigue life results for the composite. Weibull graphics were used to determine the scale and shape parameters. The S-N curve for the Twill/Cycom composite was drawn and indicated the number of cycles to occur the first damages in this material. The probability of failure was associated with material reliability, as shown in graphics for the different tensile levels and fatigue life. In addition, the laminate was evaluated by ultrasonic inspection showing a regular impregnation. The fractographic analysis conducted by SEM showed failure mechanisms for polymeric composites associated to cyclic loadings ... (Complete abstract click electronic access below)
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In this work was developed a program capable of performing automatic counting of vehicles on roads. The problem of counting vehicles is using expensive techniques for its realization, techniques which often involve manual counting or degradation of the pavement. The main motivation for this work was the importance that the vehicle counting represents to the Traffic Engineer, being essential to analyze the performance of the roads, allowing to measure the need for installation of traffic lights, roundabouts, access ways, among other means capable of ensuring a continuous flow and safe for vehicles. The main objective of this work was to apply a statistical segmentation technique recently developed, based on a nonparametric linear regression model, to solve the segmentation problem of the program counter. The development program was based on the creation of three major modules, one for the segmentation, another for the tracking and another for the recognition. For the development of the segmentation module, it was applied a statistical technique combined with the segmentation by background difference, in order to optimize the process. The tracking module was developed based on the use of Kalman filters and application of simple concepts of analytical geometry. To develop the recognition module, it was used Fourier descriptors and a neural network multilayer perceptron, trained by backpropagation. Besides the development of the modules, it was also developed a control logic capable of performing the interconnection among the modules, mainly based on a data structure called state. The analysis of the results was applied to the program counter and its component modules, and the individual analysis served as a means to establish the par ameter values of techniques used. The find result was positive, since the statistical segmentation technique proved to be very useful and the developed program was able to count the vehicles belonging to the three goal..