114 resultados para Tridiagonal Kernel
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Teaching Operating Systems (OS) is a rather hard task, since being an OS designer is not a desired goal for most students and the subject demands a large amount of knowledge over system's details. To reduce the difficulty many courses are planned with laboratory practices, differing in how the practices are designed. Some try to implement next-to-real kernels, others use simulators, and even others use synthetic kernels. In this paper an approach based on synthetic kernels is described. It uses thread programming in order to establish control over the operating system components. T his approach allows the kernel to grow following the materials presented in the course. It has been successfully applied in two different courses at our University, the first one being a basic OS course and the second one an upper level course. Results from these applications are presented.
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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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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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
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No Brasil os acidentes por picada de escorpião são considerados um problema para saúde pública, uma vez que este agravo pode levar ao óbito caso não haja um tratamento adequado. Assim, no município de Presidente Prudente/SP o órgão responsável pelo combate aos escorpiões é o Centro de Controle de Zoonoses (CCZ), que tem por finalidade notificar a aparição de escorpiões no município, promovendo portanto, as devidas informações à população com finalidade de evitar acidentes. Desse modo, com o uso dos Sistemas de Informações Geográficas (SIGs) aplicados à técnicas de estatística espacial, foi possível elaborar mapas de distribuição das notificações de escorpiões referente aos anos de 2012 e 2013, por meio dos métodos da geocodificação de endereços; estimador de intensidade de Kernel; índice de Moran função (LISA); quantidade de notificações por setor censitário e interpolação por vizinho mais próximo. Como resultado desta análise, o trabalho fornece informações ao CCZ sobre a distribuição de tal fenômeno para que fosse possível um controle direcionado os locais mais infestados, economizando tempo e recursos financeiros, visando o bem estar da população
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Pós-graduação em Biometria - IBB
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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Non-Hodgkin lymphomas are of many distinct types, and different classification systems make it difficult to diagnose them correctly. Many of these systems classify lymphomas only based on what they look like under a microscope. In 2008 the World Health Organisation (WHO) introduced the most recent system, which also considers the chromosome features of the lymphoma cells and the presence of certain proteins on their surface. The WHO system is the one that we apply in this work. Herewith we present an automatic method to classify histological images of three types of non-Hodgkin lymphoma. Our method is based on the Stationary Wavelet Transform (SWT), and it consists of three steps: 1) extracting sub-bands from the histological image through SWT, 2) applying Analysis of Variance (ANOVA) to clean noise and select the most relevant information, 3) classifying it by the Support Vector Machine (SVM) algorithm. The kernel types Linear, RBF and Polynomial were evaluated with our method applied to 210 images of lymphoma from the National Institute on Aging. We concluded that the following combination led to the most relevant results: detail sub-band, ANOVA and SVM with Linear and RBF kernels.
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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
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The nutrition of the orchards is the major factor of productivity, being necessary to know the proper doses of fertilizers and their influence on fruit quality attributes for industrialization. This study evaluated the effects of different doses of nitrogen and potassium on the productivity of guava trees and also on the values of pH, soluble solids (SS), titratable acidity (TA) and pulp/kernel ratio of guavas. The experiment was conducted at Vista Alegre do Alto, SP in an irrigated 'Paluma'guava orchard, 7 years old, managed with pruning during three consecutive cycles of production. The soil of the area was dystrophic Ultisol. The experimental design was the randomized blocks, in factorial, with four nitrogen doses (0, 0.5, 1 and 2 kg of N plant(-1)) and four of potassium (0, 0.55, 1.1 and 2.2 kg of K2O plant(-1)), with three replications. Nitrogen fertilization increased productivity and the pH of the fruit, being explained by the quadratic polynomial regression models; reduced linearly the pulp/kernel ratio and do not influenced the SS and TA values. On the other hand, potassium fertilization and N x K interaction had no significant effects on productivity and the other characteristics evaluated.
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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)