1000 resultados para cobertura plástica


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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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The Set Covering Problem (SCP) plays an important role in Operational Research since it can be found as part of several real-world problems. In this work we report the use of a genetic algorithm to solve SCP. The algorithm starts with a population chosen by a randomized greedy algorithm. A new crossover operator and a new adaptive mutation operator were incorporated into the algorithm to intensify the search. Our algorithm was tested for a class of non-unicost SCP obtained from OR-Library without applying reduction techniques. The algorithms found good solutions in terms of quality and computational time. The results reveal that the proposed algorithm is able to find a high quality solution and is faster than recently published approaches algorithm is able to find a high quality solution and is faster than recently published approaches using the OR-Library.

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The reason of this work is perform a study about using of electrical energy to identify the opportunities through rational use of electrical energy. For that it was necessary perform an analysis of hired energy against consumption. Based in a guide of energy analysis were found the main consumers and verified the main problems, which generate excessive use of electrical energy in a plastic injection factory. It was also analyzed the painting line because there are some thermal equipment that use electrical energy. Based on the data obtained will be proposed ways to reduce the needless consumption and energy use of rationally and efficiently, in addition to re-evaluate the contracted demand based on the new policy of supplying and charging.It were also proposed thermodynamics solutions to reduce the energy consumed in thermal process

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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

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Pós-graduação em Agronomia (Produção Vegetal) - FCAV

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Pós-graduação em Comunicação - FAAC

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Guided by the concepts of bioclimatic architecture and wide range of benefits , the green roof stands out as one of the ecological techniques indicated to minimize weather disturbances arising from urbanization. However, little is known what are the reasons that are preventing its spread between the construction methods. To try to understand this unfavorable scenario , we collected technical , historical and urban information of São José dos Campos, where we attempted to analyze the potential of green roof as a tool against the negative effects of heat island

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Pós-graduação em Agronomia (Horticultura) - FCA

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Pós-graduação em Agronomia (Ciência do Solo) - FCAV

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Pós-graduação em Reabilitação Oral - FOAR

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This study aimed to evaluate soil cover and the suppressive effect on weeds by different cover crops at different seed densities. The experiments were set up in Votuporanga, state of Sao Paulo, Brazil and in Selviria, state of Mato Grosso do Sul, Brazil, in March 2008, after conventional tillage. The experimental design was a randomized complete block with four replications, using the following cover crops at different seed densities per hectare: Sorghum bicolor: 6, 7 and 8 kg ha(-1), Pennisetum americanum, 10, 15 and 20 kg ha(-1), Sorghum sudanense, 12, 15 and 18 kg ha(-1), hybrid of Sorghum bicolor with Sorghum sudanense: 8, 9 and 10 kg ha(-1), Urochloa ruziziensis: 8, 12 and 16 kg ha(-1). A control treatment with spontaneous vegetation was used. Soybean was sown after the management of cover crops. Dry matter and weed density were evaluated at cutting/harvesting of cover crops. In Votuporanga, another assessment of weed plants was made at 35 days after soybean had been sown. The ground cover provided by cover crops was assessed at the time of desiccation and flowering of soybeans. It was concluded that U. ruziziensis and S. sudanense reduced weed infestations by more than 90% and kept ground cover above 80% by the time of flowering of soybean.