958 resultados para Simulator
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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
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Pós-graduação em Engenharia Elétrica - FEIS
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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Pós-graduação em Ciência e Tecnologia de Materiais - FC
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Pós-graduação em Agronomia (Irrigação e Drenagem) - FCA
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Pós-graduação em Engenharia Elétrica - FEIS
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
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This study aimed to evaluate the behavior of the deposition and mechanical damage in seeds using a continuous flow metering system under different slope and speed. Part of the study was conducted at Agricultural Research Foundation Agricultural - (FAPA), where seeds that are deposited by a metering system were collected, and the quality analysis verifying the percentage of mechanical damage were conducted at the Faculty of Agricultural Sciences, UNESP, city of Botucatu– SP. The mechanism deposition was subjected to three different speed conditions (4,7, and 10 km.h-1) and three differents working slopes, ( 3%, 8%, and 16%). The results were submitted to Tukey test (p ≤ 0.05), and an analysis of variance with F test at 5% significance level was performed. The results showed an interaction between the factor slope and speed of work, increasing the metering mechanism speed, results in a reduction of the seed deposition at a 3% slope but a working speed of 10 km h-1did not reduce the rate of seed deposition until the slope reaches 16%. Both the slope factor and the working speed caused at least 3.9 and 4.2% more damage to the seeds, respectively.
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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
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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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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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One problem with using component-based software development approach is that once software modules are reused over generations of products, they form legacy structures that can be challenging to understand, making validating these systems difficult. Therefore, tools and methodologies that enable engineers to see interactions of these software modules will enhance their ability to make these software systems more dependable. To address this need, we propose SimSight, a framework to capture dynamic call graphs in Simics, a widely adopted commercial full-system simulator. Simics is a software system that simulates complete computer systems. Thus, it performs nearly identical tasks to a real system but at a much lower speed while providing greater execution observability. We have implemented SimSight to generate dynamic call graphs of statically and dynamically linked functions in x86/Linux environment. A case study illustrates how we can use SimSight to identify sources of software errors. We then evaluate its performance using 12 integer programs from SPEC CPU2006 benchmark suite.