829 resultados para Sistema de suporte à decisão espacial


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In the last years, the maintenance took an essential role inside the productive system. Plan and manage the maintenance actions in an efficient way, are vital activities for higher production availability. This paper presents an application of a Multicriteria Decision Analysis method in a chemical industry, willing to priories a plan action for the reduction of the maintenance cost. The method used was the PROMETHEE II, with it the results were obtained through the softwares Microsoft Excel and Decision Lab

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In the past years, soya has increased itself as the mean agro export culture in Brazil, encouraging the expansion of its agricultural frontier throughout the country. Brazil is the second biggest soya producer around the world, with a 59,8 million ton production in 2008, according to the Instituto Brasileiro de Geografia e Estatística (IBGE), only behind United States. Around the country, the four leading producer states are Mato Grosso, Paraná, Rio Grande do Sul e Goiás. Therefore, geotechnologies may be used to monitor use and soil occupation in various analyzes periods. In this review, the tools are important to illustrate the soya production areas and also the weather behavior around its production evolution in the territory through the years. Its utilization can contribute to the evolution and optimization around real time monitoring of the Agricola cultures, without being necessary to be in the area with a low financial cost. Generally, this information is strongly important for decision makers in both government and private sector, as soon as the achievement information regards the quantification of area, yield and development of agricultural crops are essential to the economic behavior of culture during the season and even beyond. By obtaining data regarding climate crops 2008/09 and 2009/10, held the climatic water balance calculation based on the dynamics of water storage in soil temperature and precipitation data, interpolation of the data through the interpolator (IDW) that generated thematic precipitation maps. Overall, the use of geotechnology to monitor agricultural areas, can strongly contribute to this monitoring, generating raw material for further analysis at low cost

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In this project the Pattern Recognition Problem is approached with the Support Vector Machines (SVM) technique, a binary method of classification that provides the best solution separating the data in the better way with a hiperplan and an extension of the input space dimension, as a Machine Learning solution. The system aims to classify two classes of pixels chosen by the user in the interface in the interest selection phase and in the background selection phase, generating all the data to be used in the LibSVM library, a library that implements the SVM, illustrating the library operation in a casual way. The data provided by the interface is organized in three types, RGB (Red, Green and Blue color system), texture (calculated) or RGB + texture. At last the project showed successful results, where the classification of the image pixels was showed as been from one of the two classes, from the interest selection area or from the background selection area. The simplest user view of results classification is the RGB type of data arrange, because it’s the most concrete way of data acquisition

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Systhemic lupus erythematous is a imunomediated disorder witch affects primarly dogs between two and nine years. Clinical manifestations are very diverse, including renal signs, that may lead to chronic renal disease, and dermatologic and joint sings. Systhemic lupus erythematous diagnostic is a challange to the clinician, due to its diverse list of differecial diagnoses and its low availability of specific tests. The treatment consists of corticosteroids and imunomodulators, and supportive therapy that inhibits the progression of the disease. Monitoring the animal with systhemic lupus erythematous is important, due to its recurrent caracteristic

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Pós-graduação em Ciência da Informação - FFC

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Studies regarding the quality and quantity of water have become more and more important because of the increasing negative environmental impacts occurred and their scarcity increase as well. At the Center of Tropical Fish Research (Centro de Pesquisas de Peixes Tropicais - CEPTAlIBAMA) located in the city of Pirassununga, SP, there is a dam named Represa Velha which supplies 128 tanks that are fish hatcheries. This dam takes in part of the Barrinha stream micro-basin where it has been observed strong impacts due to the deforestation of its support forest, as well an the intensive agricultural activities in the neighboring areas. There has been established and distributed 13 points of water-collectors disposed inside the stream and the dam. The water samples were taken from the stream only from its surface because of the low depth and, inside. In the dam, the water samples were taken at the water column, at a 50cm distance over the sediment. In every point of collection inside the dam, it was placed a chamber of sedimentation, vertically in the water column at a 70% height from the total depth. The collections took place during the dry/cold and raining/warm periods of the years 2000 and 2001. Then, it were analyzed the physical, physical-chemical, chemical and micro-biological parameters of the water samples. The obtained results were statistically analyzed throughout the SAS system (Statistical Analisys System). Parameters such as total phosphate, nitrate, nitrite and turbidity were within the established limits for the Class 2 water, according to the n° 20/1986 CONAMA Resolução. However, the total and Escherichia coli coliforms, mainly inside the Barrinha stream, had showed values above of the established limits for the same... (Complete abstract click electronic access below)

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

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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The use of mobile robots in the agriculture turns out to be interesting in tasks of cultivation and application of pesticides in minute quantities to reduce environmental pollution. In this paper we present the development of a system to control an autonomous mobile robot navigation through tracks in plantations. Track images are used to control robot direction by preprocessing them to extract image features, and then submitting such characteristic features to a support vector machine to find out the most appropriate route. As the overall goal of the project to which this work is connected is the robot control in real time, the system will be embedded onto a hardware platform. However, in this paper we report the software implementation of a support vector machine, which so far presented around 93% accuracy in predicting the appropriate route.

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This work aims the design and analysis of a thrust frame system for a liquid fuel rocket engine. The project was developed following the design requirements established by the Division of Space Propulsion of the Institute of Aeronautics and Space. The layout of the structure was developed with the aid of a software of 3D modeling and static and dynamic analysis were performed by using a finite element package. The results of the analyzes helped in defining the layout of the structure which met all design requirements. The safety factor and the mass achieved were comfortably low, which may be useful in the future because the liquid fuel rocket engine is still in development

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

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Pós-graduação em Engenharia de Produção - FEB

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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