958 resultados para Árvores - Computação


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O uso de computação em nuvem tem se tornado cada vez mais intenso nos últimos anos. Devido principalmente a fatores econômicos, a avaliação de desempenho de sistemas de computação em nuvem, principalmente através de simulação, tem sido amplamente aplicada. Neste trabalho se apresenta a inclusão da funcionalidade de modelagem e simulação de computação em nuvem no simulador de ambientes distribuídos iSPD.

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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

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The current socio-economic situation has brought a need to look for alternative ways to get energy that allow reducing the high dependence on fossil fuel sources while deflect from the climate change arising from the result of the use of these energy resources. Renewable sources of energy, low and medium temperature appear as high potential of energy resources, which have a major influence on the way of life of the people to enable decentralized energy production. In Brazil, in particular, have also the need to decentralize the energy grid, currently focused on energy from water source. The current water crisis, exemplifies the urgency of betting on other energy sources, as a way to help in emergency situations such as the current one. Therefore, this study evaluates the possibility of using biomass as a heat source in a Rankine Cycle Organic where instead of water; it uses thermal fluid as working fluid, was compared the urban areas of the city of Guaratinguetá with the urban area of the metropolitan region of São Paulo. Thus, it was established two scenarios, so it was possible to establish the cycle to be used

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This undergraduate thesis aims formally define aspects of Quantum Turing Machine using as a basis quantum finite automata. We introduce the basic concepts of quantum mechanics and quantum computing through principles such as superposition, entanglement of quantum states, quantum bits and algorithms. We demonstrate the Bell's teleportation theorem, enunciated in the form of Deutsch-Jozsa definition for quantum algorithms. The way as the overall text were written omits formal aspects of quantum mechanics, encouraging computer scientists to understand the framework of quantum computation. We conclude our thesis by listing the Quantum Turing Machine's main limitations regarding the well-known Classical Turing Machines

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The current socio-economic situation has brought a need to look for alternative ways to get energy that allow reducing the high dependence on fossil fuel sources while deflect from the climate change arising from the result of the use of these energy resources. Renewable sources of energy, low and medium temperature appear as high potential of energy resources, which have a major influence on the way of life of the people to enable decentralized energy production. In Brazil, in particular, have also the need to decentralize the energy grid, currently focused on energy from water source. The current water crisis, exemplifies the urgency of betting on other energy sources, as a way to help in emergency situations such as the current one. Therefore, this study evaluates the possibility of using biomass as a heat source in a Rankine Cycle Organic where instead of water; it uses thermal fluid as working fluid, was compared the urban areas of the city of Guaratinguetá with the urban area of the metropolitan region of São Paulo. Thus, it was established two scenarios, so it was possible to establish the cycle to be used

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This undergraduate thesis aims formally define aspects of Quantum Turing Machine using as a basis quantum finite automata. We introduce the basic concepts of quantum mechanics and quantum computing through principles such as superposition, entanglement of quantum states, quantum bits and algorithms. We demonstrate the Bell's teleportation theorem, enunciated in the form of Deutsch-Jozsa definition for quantum algorithms. The way as the overall text were written omits formal aspects of quantum mechanics, encouraging computer scientists to understand the framework of quantum computation. We conclude our thesis by listing the Quantum Turing Machine's main limitations regarding the well-known Classical Turing Machines

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Este trabalho propõe uma abordagem computacional evolutiva para a resolução do problema de alocação de dispositivos indicadores de faltas (IFs) em alimentadores primários de distribuição de energia elétrica. De forma mais específica, o problema de se obter o melhor local de instalação é solucionado por meio da técnica de Algoritmos Genéticos (AGs) que busca obter uma configuração eficiente de instalação de IFs no tronco principal de um alimentador de distribuição. Assim, faz-se a modelagem do mesmo na forma de um problema de otimização orientado à melhoria dos indicadores de qualidade do serviço e ao encontro de uma solução economicamente atraente. Os resultados com dados reais comprovam a eficiência da metodologia proposta.

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