267 resultados para Sigilo de dados
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The massive urbanization and activities arising from the uncontrolled growth of urban areas, result in changes on the climate, making it unhealthy. One factor that contributes to poor quality of life due to this fact is the islands of heat that consists in the accumulation of surface heat and raises the temperature in the cities. The vegetation consists of urban greening, urban forests and green areas, have the function to minimize this effect. To reconcile these factors, collected data on surface temperature by satellite images, LANDSAT 5 captured on 18/12/2012 point 75 e 76, orbits 221, band 6 and on-site survey with thermo-hygrometer, possessed the data, crossing the conducted vegetative survey and provided a management vision to improve the microclimate of the city under study. The vegetation coverage at urban area directly affects the ambient temperature, improving the urban micro-climate. The different analyzed surface coverage also affects the apparent temperature. Among the studied ranks, the eucalyptus cultivation, native forest, urban area and solo exposed areas with greater vegetation cover have mild temperatures and improved microclimate.
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This work explores the suitability of the Lagrange interpolating polynomial as a tool to estimate and correct solar databases. From the knowledge of the irradiance distribution over a day, a portion of it was removed for applying Lagrange interpolation polynomial. After generation of the estimates by interpolation, the assessment was made by MBE and RMSE statistical indicators. The application of Lagrange interpolating generated the following results: underestimation of 0.27% (MBE = -1.83 W/m2) and scattering of 0.51% (RMSE = 3.48 W/m2).
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Pós-graduação em Enfermagem - FMB
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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Pós-graduação em Engenharia Elétrica - FEIS
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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
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Pós-graduação em Ciências Cartográficas - FCT
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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
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The pharmaceutical industry was consolidated in Brazil in the 1930s, and since then has become increasingly competitive. Therefore the implementation of the Toyota Production System, which aims to lean production, has become common among companies in the segment. The main efficiency indicator currently used is the Overall Equipment Effectiveness (OEE). This paper intends to, using the fuzzy model DEA-BCC, analyze the efficiency of the production lines of a pharmaceutical company in the Paraíba Valley, compare the values obtained by the model with those calculated by the OEE, identify the most sensitive machines to variation in the data input and develop a ranking of effectiveness between the consumer machinery. After the development, it is shown that the accuracy of the relationship between the two methods is approximately 57% and the line considered the most effective by the Toyota Production System is not the same as the one found by this paper
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Considering the high competitivity in the market, the application of quantitative methods can assist in analyzing the efficiency of production facilities of areas of export and import processes of the chemical industry sector. In this sense, this work aims to apply the model GPDEA-BCC optimization in order to develop an analysis of the production units of this chemical industry. So, were chosen variables relevant to the process and elaborated a final comparison between the results obtained by the optimization tool and performance indexes provided by the company. These results indicated that some production units should be monitored more carefully because some of them had a low efficiency when analyzed with multi criteria
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Pós-graduação em Matematica Aplicada e Computacional - FCT
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Pós-graduação em Engenharia Mecânica - FEG