232 resultados para Sistema de suporte à decisão espacial
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Pós-graduação em Engenharia Civil e Ambiental - FEB
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Pós-graduação em Matematica Aplicada e Computacional - FCT
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The soil management system can modify the natural distribution of the soil attributes and, consequently, the variability of the soil aggregation and organic matter content. Thus, the aim of this work was to evaluate the aggregate stability and organic matter content spatial distribution on a Haplic Cambisol under sugar cane cultivation in the Southern Amazonas State, Brazil. A 70 x 70 m square mesh, with regular 10 meters intervals, was designed over the cultivation area, resulting in 64 sample points. Soil blocks with preserved structure were collected at 0.0-0.2 m depth in order to analyze the aggregate stability and organic matter content. The data were submitted to the descriptive and geostatistical analysis. The soil attributes presented a spatial dependence structure and the greater range was observed for the mean weighted diameter and aggregate class <1.00 mm. Also, there is a spatial relation among the mean geometric diameter, mean weighted diameter and aggregate classes (>2.00 and 2.00-1.00 mm).
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A novel AC Biosusceptometry (ACB) system with thirteen sensors it was implemented and characterized in vitro using magnetic phantoms. The system presenting coils in a coaxial arrangement with one pair of excitation coil outside and thirteen pairs of detection coils inside. A first-order gradiometric configuration was utilized for optimal detection of magnetic signals. Several physical parameters such as baseline, number of turns, excitation field and diameters were studied for improvement of the signal/noise ratio. This system exhibits an enhanced sensitivity and spatial resolution, due to the higher density of sensors/area. In the future those characteristics will turn possible to obtain images of magnetic marker or tracer in the gastrointestinal tract focusing on physiological and pharmaceutical studies. ACB emerged due to its interesting nature, noninvasiveness and low cost to investigate gastrointestinal parameters and this system can contribute for more accurate interpretation of biomedical signals and images
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The AEDROMO (Experimental and Didactic Environment with Mobile Robots) is a versatile, user friendly and scalable environment that supports a wide range of experiments. In it there is an area that is similar to a desk where objects can interact with each other, including robots and other objects, and thus can perform numerous activities. In it's current state, AEDROMO has client computers that interact with the system through an interface, and thus realize the communication between the user and AEDROMO. This project offer support to create a new form of interface for AEDROMO and can therefore be used for devices running Android, the app developed in this project will serve as a basis for future work on this new interface
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The metropolitan region of São Paulo is the most populous of the country, this happens because of its great importance in the national economy and the job opportunities that are offered to the population. These factors result in intense population growth and urban expansion, reaching some non-habitable places of the metropolis, as areas of pipelines, which are very important for the transportation of natural gas, oil and its derivatives. Before the population growth of the region, these sites were unoccupied, do not presenting problems for the population. However, with the disorderly occupation is generated great anthropogenic pressure on the pipeline stitches, causing risks to people who are around them. Therefore it is extremely important to monitor the strip of pipelines through products and techniques of remote sensing and geoprocessing, enabling, through high spatial resolution images, identification of objects or phenomena that occur on Earth's surface that can alter the functioning and safety of pipelines. Therefore, this study aims to monitor a stretch of the area of the pipeline mesh GASPAL/OSVAT and Capuava Refinery (RECAP), located on the outskirts of the metropolitan area of São Paulo in the city of Mauá, who suffer great human pressure, proving thus the techniques of remote sensing and geographic information system (GIS) as effective tools for monitoring phenomena occurred in urban areas of great complexity. The monitoring was done by object-based classification applied in orbital images Ikonos II and RapidEye, of high spatial resolution and, image processing, detection of objects, segmentation, classification and editing were developed through the eCognition and ArcGis softwares. To determine the statistical accuracy of the mapping of the land cover of the stretch of pipeline in Maua, the results were analyzed by error matrix... (Complete abstract click electronic access below)
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The growing interest in the use of groundwater resources is directly related to the economic advantages that the groundwater exploitation offers when compared to surface waters. This happens especially in large urban centers, such as the city of Americana / SP, where the rivers are increasingly contaminated by household and industrial waste. Therefore, this study aimed to characterize the Tubarão Aquifer System, in the city of Americana, to identify and evaluate the spatial distribution of different hydrogeochemical facies as well as understand the rock-fluid interaction through the construction of a conceptual hydrogeochemical model. This study was made based on the recognition of the possible chemical reactions that print the chemical characteristics of groundwater in the area. To do the job, there were two water sampling campaigns of all deep wells used by the City of Americana public water supply. From the results of hydrochemical, classification of water was made by Piper and Stiff diagrams as well as geostatistical data using cluster analysis of principal components. Based on information from the profiles obtained from the survey SIAGAS as well as in geological profiles provided by the city of Americana, we sought to detail the subsurface geology of the Subgroup Itararé in the city of Americana. The results obtained allowed the identification of three hydrochemical types in the study area: Bicarbonated calcium-sodium (1), bicarbonate sodium (2) and sodium chloride (3). The waters have bicarbonate alkaline pH to alkaline and can be considered weakly saline, with electrical conductivity values of around 161 mS / cm. Samples classified as sodium bicarbonate average of 174.99 mS / cm. The pH values ranging from 6.74 to 7.99, averaging 7.52. For the group of waters classified as sodium chloride, conductivity average is 164.32 mS / cm and pH values ranging... (Complete abstract click electronic access below)
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This paper proposed a two-dimensional spatial model to describe the adaptive immune response for viral hepatitis B. This model considered six populations: healthy hepatocytes T, infected hepatocytes Y , hepatitis B virus V , innate immune system I, active immune system X and memory cells, X. First, a compartmental model was constructed and its equilibrium solutions and also the threshold values related to the stability of each solution were obtained. Using this model, we was able to reproduce the different trends observed for the disease, which are: individuals that eliminate the infection without forming immune response, patients with acute and chronic carriers. By including dispersion of defense cells of the immune system and virus (spatial model), we analyze two situations: homogeneous model, in which the model parameters are the same at all points of the network, and heterogeneous model, which characterizes cells more permeable and less permeable to virus invasion. For the two spatial models (homogeneous and heterogeneous) the times relatead to the viral erradication and/or virus invasion and persistence becoming smaller in relation to the compartmental model. The results also showed that for the set of values used in the simulations and if the two diffusion rates are different from zero, the model is sensitive to variations in the rate of viral spread and not dependent on the dispersion of memory cells. Finally, the heterogeneous model when compared to the homogeneous model shows that the infection can be spatially limited depending on the type of the cell involved in the infection process
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Neste trabalho foi analisada a resolução espacial de sensores de Biossusceptometria AC (BAC) correlacionando dois métodos consagrados em análise de resolução, a Função de Transferência Modulada (do inglês MTF) e a Largura à Meia Altura (FWHM) da Função de Espalhamento Pontual (PSF). A partir da aquisição da PSF do sistema, foi possível quantificar a resolução dos sensores pelos dois métodos. Foram analisados sensores de diferentes diâmetros para a obtenção da correlação entre os dois métodos. Foi variada também a corrente, indiretamente, pela variação de voltagem de excitação. Com estas metodologias foi possível avaliar a resolução de maneira pontual dos sensores, sendo possível otimizar a utilização dos sensores de acordo com a medida a ser realizada
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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)