92 resultados para Computer software - Quality control
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The software quality represents a more and more important attribute for the survival and growth of software industries. In order to ensure the quality of products manufactured, various practices have been incorporated into the development process. In this context, some successful software organizations have invested in an approach to human resource management, which consists in integrating the management activities with a personal process called Personal Software Process - PSP, which has led to the maintenance of greater discipline and control over all development phases. Given this, this work presents a proposal for integration of techniques set out in the PSP with a web system previously developed, which is called System to Aid Project Management - SAPM.
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O presente trabalho objetivou estudar a uniformidade de distribuição da calda de pulverização contendo herbicidas, em culturas perenes arbustivas, utilizando combinações de pontas de pulverização em barra lateral protegida, conduzida a pequena distância do alvo, na linha de culturas perenes arbustivas. Para isso, foi desenvolvido um programa computacional que permite simular a sobreposição do leque de pulverização, da porção protegida da barra e do leque formado pela ponta de pulverização do bico mais extremo da barra, de modo diferente dos demais programas. Após a seleção das melhores combinações de pontas de pulverização por meio de simulação dos padrões de deposição da pulverização das pontas individuais e dos coeficientes de variação menores que 10%, algumas dessas combinações foram testadas em campo, aplicando-se um herbicida sistêmico (glyphosate) e outro com ação de contato (paraquat). Os resultados indicaram que o programa computacional desenvolvido pode constituir-se em um auxiliar valioso para a seleção das melhores combinações de pontas de pulverização. em aplicações tanto do herbicida glyphosate quanto do paraquat, com volumes de calda mais reduzidos,abaixo de 100 L ha-1, destacaram-se como arranjos mais eficientes: a) pontas TT110015 distanciadas de 52,5 cm entre si, combinadas com a ponta TK-0,5 na extremidade da barra a 50 cm do último bico, operando na velocidade de 5 km h-1 e pressão de 103 kPa (15 lbf pol-2), com distância de caminhamento do tronco da árvore de 20 cm ; b) pontas SMCE2 distanciadas de 15 cm entre si, combinadas com a ponta TK-0,5 na extremidade da barra de 20 cm do último bico, operando na velocidade de 4 km h-1 e pressão de 414 kPa (60 lbf pol-2), com distância de caminhamento do tronco da árvore de 30 cm ; e c) pontas TLX-2 distanciadas de 15 cm entre si, combinadas com a ponta TK-0,5 na extremidade da barra de 20 cm do último bico, operando à velocidade de 5 km h-1 e pressão de 414 kPa (60 lbf pol-2), com distância de caminhamento do tronco da árvore de 30 cm. A velocidade de deslocamento do pulverizador de 5 km h-1 proporcionou melhores condições para que os herbicidas estudados apresentassem melhor controle de plantas daninhas, quando comparada com a velocidade de deslocamento do pulverizador de 4 km h-1.
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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
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Objective: To examine the correlation between the clinical diagnosis and autopsy findings in adult patients who died in an intensive care unit (ICU). To determine the rate of agreement of the basic and terminal causes of death and the types of errors in order to improve quality control of future care,Design, Retrospective study.Setting: Adult ICU in a university hospital.Patients: 30 adult patients who died in the ICU. with the exclusion of medicolegal cases.Methods and main results: Anatomo-clinical meetings were held to analyze the pre- and postmortem correlations in 30 consecutive autopsies at the ICU of the University Hospital, School of Medicine of Botucatu/ UNESP, from January 1994 to January 1997. The rate of correct clinical diagnoses of the basic cause was 66.7 %; in 23.3 % of cases, if the correct diagnosis was made, management would have been different, as would have been the evolution of the patient's course (Class I error): in 10 % of the cases the error would not have led to a change in management (Class II error). The rate of correct clinical diagnoses of terminal cause was 80 %.Conclusions: the rate of recognition of the basic cause was 66.7 %, which is consistent with the literature, but the Class I error rate was higher than that reported in the literature.
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Introduction: Computer software can be used to predict orthognathic surgery outcomes. The aim of this study was to subjectively compare the soft-tissue surgical simulations of 2 software programs. Methods: Standard profile pictures were taken of 10 patients with a Class III malocclusion and a concave facial profile who were scheduled for double-jaw orthognathic surgery. The patients had horizontal maxillary deficiency or horizontal mandibular excess. Two software programs (Dentofacial Planner Plus [Dentofacial Software, Toronto, Ontario, Canada] and Dolphin Imaging [version 9.0, Dolphin Imaging Software, Canoga Park, Calif]) were used to predict the postsurgical profiles. The predictive images were compared with the actual final photographs. One hundred one orthodontists, oral-maxillofacial surgeons, and general dentists evaluated the images and were asked whether they would use either software program to plan treatment for, or to educate, their patients. Results: Statistical analyses showed differences between the groups when each point was judged. Dolphin Imaging software had better prediction of nasal tip, chin, and submandibular area. Dentofacial Planner Plus software was better in predicting nasolabial angle, and upper and lower lips. The total profile comparison showed no statistical difference between the softwares. Conclusions: The 2 types of software are similar for obtaining 2-dimensional predictive profile images of patients with Class III malocclusion treated with orthognathic surgery. (Am J Orthod Dentofacial Orthop 2010; 137: 452.e1-452.e5)
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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
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The identification of gasoline adulteration by organic solvents is not an easy task, because compounds that constitute the solvents are already in gasoline composition. In this work, the combination of Hydrogen Nuclear Magnetic Resonance ((1)H NMR) spectroscopic fingerprintings with pattern-recognition multivariate Soft Independent Modeling of Class Analogy (SIMCA) chemometric analysis provides an original and alternative approach to screening Brazilian commercial gasoline quality in a Monitoring Program for Quality Control of Automotive Fuels. SIMCA was performed on spectroscopic fingerprints to classify the quality of representative commercial gasoline samples selected by Hierarchical Cluster Analysis (HCA) and collected over a 6-month period from different gas stations in the São Paulo state, Brazil. Following optimized the (1)H NMR-SIMCA algorithm, it was possible to correctly classify 92.0% of commercial gasoline samples, which is considered acceptable. The chemometric method is recommended for routine applications in Quality-Control Monitoring Programs, since its measurements are fast and can be easily automated. Also, police laboratories could employ this method for rapid screening analysis to discourage adulteration practices. (C) 2010 Elsevier B.V. All rights reserved.
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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A Fortran computer program is given for the computation of the adjusted average time to signal, or AATS, for adaptive (X) over bar charts with one, two, or all three design parameters variable: the sample size, n, the sampling interval, h, and the factor k used in determining the width of the action limits. The program calculates the threshold limit to switch the adaptive design parameters and also provides the in-control average time to signal, or ATS.
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In this paper a set of Brazilian commercial gasoline representative samples from São Paulo State, selected by HCA, plus six samples obtained directly from refineries were analysed by a high-sensitive gas chromatographic (GC) method ASTM D6733. The levels of saturated hydrocarbons and anhydrous ethanol obtained by GC were correlated with the quality obtained from Brazilian Government Petroleum, Natural Gas and Biofuels Agency (ANP) specifications through exploratory analysis (HCA and PCA). This correlation showed that the GC method, together with HCA and PCA, could be employed as a screening technique to determine compliance with the prescribed legal standards of Brazilian gasoline.
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Recent studies have shown that adaptive X control charts are quicker than traditional X charts in detecting small to moderate shifts in a process. In this article, we propose a joint statistical design of adaptive X and R charts having all design parameters varying adaptively. The process is subjected to two independent assignable causes. One cause changes the process mean and the other changes the process variance. However, the occurrence of one kind of assignable cause does not preclude the occurrence of the other. It is assumed that the quality characteristic is normally distributed and the time that the process remains in control has exponential distribution. Performance measures of these adaptive control charts are obtained through a Markov chain approach. (c) 2005 Elsevier B.V. All rights reserved.
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A total of 2400 samples of commercial Brazilian C gasoline were collected over a 6-month period from different gas stations in the São Paulo state, Brazil, and analysed with respect to 12 physicochemical parameters according to regulation 309 of the Brazilian Government Petroleum, Natural Gas and Biofuels Agency (ANP). The percentages (v/v) of hydrocarbons (olefins, aromatics and saturated) were also determined. Hierarchical cluster analysis (HCA) was employed to select 150 representative samples that exhibited least similarity on the basis of their physicochemical parameters and hydrocarbon compositions. The chromatographic profiles of the selected samples were measured by gas chromatography with flame ionisation detection and analysed using soft independent modelling of class analogy (SIMCA) method in order to create a classification scheme to identify conform gasolines according to ANP 309 regulation. Following the optimisation of the SIMCA algorithm, it was possible to classify correctly 96% of the commercial gasoline samples present in the training set of 100. In order to check the quality of the model, an external group of 50 gasoline samples (the prediction set) were analysed and the developed SIMCA model classified 94% of these correctly. The developed chemometric method is recommended for screening commercial gasoline quality and detection of potential adulteration. (c) 2007 Elsevier B.V. All rights reserved.
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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)