332 resultados para Confiabilidade


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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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Realizou-se adaptação transcultural da Escala de Satisfação com o Suporte Social (ESSS) para a língua portuguesa. As qualidades psicométricas foram avaliadas numa amostra de 1.023 estudantes do ensino superior do Brasil e de Portugal. A partir dos resultados obtidos propõe-se uma versão modificada da ESSS com 12 itens que avaliam 4 dimensões. A versão modificada revelou adequada confiabilidade, validade fatorial, validade concorrente, divergente e discriminante com exceção dessa última para Satisfação com as Amizades e a Intimidade. A validade convergente esteve no limite do aceitável. Observou-se invariância dos pesos fatoriais entre Brasil e Portugal, permitindo sua utilização para a avaliação da Satisfação com o Suporte Social em estudantes do ensino superior de ambos os países.

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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In the past few years several GPS (Global Position System) positioning techniques have been develope and/or improved with the goal of obtaining high accuracy and productivity in real time. The reference station network concept besides to enabling quality and reliability in positioning for scientific and civil GPS community, allows studies concerning tropospheric refraction modeling in the network region. Moreover, among the network corrections transmission methods available to users, there is the VRS (Virtual Reference Station) concept. In this method, the data of a virtual station are generated near the rover receiver (user). This provides a short baseline and the user has the possibility of using a single frequency receiver to accomplish the relative positioning. In this paper, the methodology applied to generate VRS data, using different tropospheric models is described. Thus, comparative tests were conducted in the four seasons with the NWP/INPE (Numerical Weather Prediction/National Institute for Space Research) and Hopfield tropospheric models. In order to analyse the VRS data quality, it was used the Precise Point Positioning (PPP) method, where satisfactory results were found. Mean differences between PNT/INPE and Hopfield models of 9.75% and 24.2% for the hydrostatic and wet days, respectively were obtained.

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The mechanical harvesting is an important stage in the production process of soybeans and, in this process; the loss of a significant number of grains is common. Despite the existence of mechanisms to monitor these losses, it is still essential to use sampling methods to quantify them. Assuming that the size of the sample area affects the reliability and variability between samples in quantifying losses, this paper aimed to analyze the variability and feasibility of using different sizes of sample area (1, 2 and 3 m²) in quantifying losses in the mechanical harvesting of soybeans. Were sampled 36 sites and the cutting losses, losses by other mechanisms of the combine and total losses were evaluated, as well as the water content in seeds, straw distribution and crop productivity. Data were subjected to statistical analysis (descriptive statistics and analysis of variance) and Statistical Control Process (SCP). The coefficients of variation were similar for the three frames available. Combine losses showed stable behavior, whereas cutting losses and total losses showed unstable behavior. The frame size did not affect the quantification and variability of losses in the mechanical harvesting of soybeans, thus a frame of 1 m² can be used for determining losses.

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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.

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This work aims to identify the main motivations and difficulties faced by Brazilian companies to obtain ISO 9001 certification. The key quality management practices that provide support to this certification and the relationship with other types of systems, such as ISO 14001 (Environmental Management) and OHSAS 18001 (Occupational Health and Safety Management System), were also investigated. A survey research was conducted with 191 companies. The main motivations for implementing ISO 9001 are the following: internal organization improvement, production efficiency increase, and brand reliability improvement. Employee resistance was the greatest challenge found during the implementation process. On the other hand, the main benefits identified were: quality processes improvement and increased employee awareness of quality. The results reveal that the most common quality programs and tools used are: 5S, brainstorming, and Ishikawa diagram, while the least common are SERVQUAL and QFD.

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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

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Pós-graduação em Química - IQ

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Pós-graduação em Agronomia (Energia na Agricultura) - FCA

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Pós-graduação em Engenharia Elétrica - FEIS

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Pós-graduação em Engenharia Elétrica - FEIS