21 resultados para Error de medida
Resumo:
O gradiente térmico da superfície para o interior do sólido depende da taxa de colisões das partículas e da condutividade térmica do material utilizado. Quando um sólido é imerso em plasma, a transferência de energia ocorre por radiação e colisões das partículas sobre a superfície do material. Dependendo da taxa de colisões das particulas e da condutividade térmica do sólido existirão gradientes térmicos da superfície para o interior das amostras, ocorrendo picos térmicos na superficie, ou seja, o aquecimento pontual nas regiões de colisões. A fim de estudar esse efeito, amostras de aço rápido AISI M35 cujos valores de dureza são fortemente sensíveis à temperatura de revenimento, foram utilizadas como micro sensores térmicos. Amostras foram temperadas em forno resistivo e, em seguida, parte das mesmas foram revenidas em forno resistivo e a outra parte em plasma. A partir do gráfico da dureza (Hv) em função da temperatura (T) das amostras revenidas em forno resistivo foi possível obter uma função Hv(T) para determinação indireta do perfil térmico das amostras tratadas em plasma. As amostras foram revenidas em plasma utilizando temperatura de referência igual a 550 oC. Em seguida foi obtido o perfil de dureza dessas amostras ao longo da seção transversal e, subsequentemente, o perfil de temperatura. Verificou-se que amostras tratadas em plasma, ao contrário daquelas tratadas em forno resistivo, apresentaram gradiente de temperatura da superfície para o núcleo. Além disso, verificou-se que as amostras tratadas em configuração planar apresentaram gradientes térmicos inferiores àquelas tratadas em configuração cátodo oco, variando de 20 a 120 °C, respectivamente
Resumo:
In this work we have studied, by Monte Carlo computer simulation, several properties that characterize the damage spreading in the Ising model, defined in Bravais lattices (the square and the triangular lattices) and in the Sierpinski Gasket. First, we investigated the antiferromagnetic model in the triangular lattice with uniform magnetic field, by Glauber dynamics; The chaotic-frozen critical frontier that we obtained coincides , within error bars, with the paramegnetic-ferromagnetic frontier of the static transition. Using heat-bath dynamics, we have studied the ferromagnetic model in the Sierpinski Gasket: We have shown that there are two times that characterize the relaxation of the damage: One of them satisfy the generalized scaling theory proposed by Henley (critical exponent z~A/T for low temperatures). On the other hand, the other time does not obey any of the known scaling theories. Finally, we have used methods of time series analysis to study in Glauber dynamics, the damage in the ferromagnetic Ising model on a square lattice. We have obtained a Hurst exponent with value 0.5 in high temperatures and that grows to 1, close to the temperature TD, that separates the chaotic and the frozen phases
Resumo:
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
Resumo:
The object of this study was to identify the possibility of predicting the involvement in traffic infractions from the results of the psychological tests carried out by psychologists specialized in the process of driver licensing in the state of Rio Grande do Norte (RN). The proposal consisted in identifying the penalty points recorded in national driving licenses (CNH) and identifying the corresponding tests and scores obtained, verifying if the average scores in the tests of drivers with and without an infraction record were significantly different and if there is any relation between the test scores and the frequency of the infractions. The results of the psychological instruments were collected in two moments the first being in the act of acquisition of the CNH and the second being during license renewal at the only certified clinic and at the DETRAN-RN. A population of 839 drivers of 14 municipalities were identified. 127 protocols of psychological tests were identified in the records of the DETRAN-RN (2002) and 76 at the clinic (2007), pointing out failures in the process of safekeeping of the psychological material, as well as in its retrieval from the record files. The sample was thus reduced to 68 drivers, all male, with age range between 18 and 41 years old, mean of 21,72 years old (DP = 5,24). 54 drivers were identified without a record of infraction, and 14 with a record. The latter committed 29 infractions. The penalty points recorded in their CNH ranged from 0 to 35 and the typical value of points (median) was zero. In the group with a record of infractions the number of points ranged between 3 and 35, mean of 10,79 (DP = 7,73). Differences were observed in the composition of the battery of tests in the two moments with the same subjects. The use of different tests to assess the same construct of the subject, first and second moment of assessment, did not allow for some analyzes with more efficient statistical proof. It was pointed out that five tests were not carried out and 118 were not corrected/analyzed. Significant differences between the groups were not identified with the psychological instruments used. In another attempt to establish differences between the means, the application of the independent t-Test evidenced a significant difference in the scores of the instruments of concentrated attention in 2002 (t = 2,21, gl = 25, p = 0.037) and of diffuse attention in 2002 (t = 2,37, gl = 24, p = 0.026). The results also did not evidence significant correlation between the scores of the tests and the penalty points of the infractions. Based on this study, it cannot be concluded with precision that the high or low scores are good criteria to determine that a driver will commit more or less traffic infractions, nor that the drivers with higher scores in the tests commit less infractions and vice-versa. Furthermore, the problems to find the instruments and the most basic data require a stronger monitoring on the part of the certified clinic and of the DETRAN-RN.
Resumo:
This Project was built to reflect about juvenile violence and the socio-educational´s range of community services provision. It is known that the juvenile violence is a phenomenon inserted on the capitalism system, backed on neo liberal project. Though, it is essential a historical analysis, showing the economical, political, social and cultural mechanisms which determine the juvenile violence personality. On this way, it is seek understand the elements that leads on work world changes, on the State and public politics sphere, that deepens social dissimilarities. On this propose, it is known that there is a relation among the violence, while one of many manifestations of social question on society and the macroestructuals´determinant that lead the teenager to a social rick situation. This research focused on a inquiry quail-quantitative, using the theoric-metodological procedures of observation, interview and documental quest techniques. The universe had been defined by the intentional sample of 22 interviewed on total, during August and October 2008, covering adolescents and their relatives, technical and the coordinator, which subsidized the Socio educational program of community services provision from Natal analysis of limits and their range. The results of this investigation indicate the necessity of development, with the teenagers authors of infringement acts, a care system that is grounded on a professional formation, respect on human rights and citizenship conquest, regarding that children and teenagers are designed as people on development, that have theirs rights and integral protection, being the State, society and family responsibility assure the integral development of them
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In this work, we propose a two-stage algorithm for real-time fault detection and identification of industrial plants. Our proposal is based on the analysis of selected features using recursive density estimation and a new evolving classifier algorithm. More specifically, the proposed approach for the detection stage is based on the concept of density in the data space, which is not the same as probability density function, but is a very useful measure for abnormality/outliers detection. This density can be expressed by a Cauchy function and can be calculated recursively, which makes it memory and computational power efficient and, therefore, suitable for on-line applications. The identification/diagnosis stage is based on a self-developing (evolving) fuzzy rule-based classifier system proposed in this work, called AutoClass. An important property of AutoClass is that it can start learning from scratch". Not only do the fuzzy rules not need to be prespecified, but neither do the number of classes for AutoClass (the number may grow, with new class labels being added by the on-line learning process), in a fully unsupervised manner. In the event that an initial rule base exists, AutoClass can evolve/develop it further based on the newly arrived faulty state data. In order to validate our proposal, we present experimental results from a level control didactic process, where control and error signals are used as features for the fault detection and identification systems, but the approach is generic and the number of features can be significant due to the computationally lean methodology, since covariance or more complex calculations, as well as storage of old data, are not required. The obtained results are significantly better than the traditional approaches used for comparison