993 resultados para Processos estocásticos não-gaussianos


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Pós-graduação em Artes - IA

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An interdisciplinary study was conducted to evaluate the effects of drying and storage time on changes in the quality of natural and fully washed coffees beans dried out in the yard and mechanically dried at a temperature of 60/40°C in air dryer machine. The coffee beans (Coffea arabica L.) harvested in cherries were processed by dry and wet methods, being subjected to pre-drying yard, followed by drying yard in the sun with air heated of 60/40°C until it reached the water content of 11% (wb). After reached the thermal equilibrium with the environment, the beans were packed in jute bag with a capacity of five kilograms and stored in uncontrolled environment during the period of one year, and removing material from each treatment every three months. To characterize the effect of drying and storage time on the coffee quality different methodologies was evaluated. It was observed less drying time for the fully washed coffee 60/40°C, and thus less energy consumed in the drying process until the point of storage, for the natural coffee there was significant effect of time on the chemical quality, biochemical and sensory; fully washed coffee proved to be more tolerant to drying than natural coffee, regardless of drying method, showing a better drink quality and less variation in chemical composition and biochemistry.

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Pós-graduação em Desenvolvimento Humano e Tecnologias - IBRC

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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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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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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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In which refers to statistical process control, the analysis of univariate cases is not enough for many types of company, being necessary to resort to multivariate cases. Besides, it is usually supposed that the observations are independent. However, the violation of this hypothesis indicates the existence of autocorrelation in the process. In this work, by a basic quantitative approach for an exploratory and experimental research, the study target are the multivariate autocorrelated control charts, using Hotteling T². The ARL values were collected by simulations of a computational program on FORTRAN language, with objective of studying the charts properties, in addition to compare with the

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Stricter environmental policies are shown necessary to ensure an effective pollutant emission control. It is expected for the present year of 2015, that Brazil will assume, at the 21th United Nation's Climate Change Conference (COP21), implementation of commitment to a low carbon economy. This positioning affects the industrial environment, so that is deemed necessary to search for new technologies, less aggressive to the environment, so the adequacies to the new emission policies do not cause a negative effect on production. Almost all of the processes performed in the steel industry demand burning fuel and, therefore, flue gases are sent to the atmosphere. In this present work is discussed the utilization of heat exchangers so, by recovering part of the available heat from the flue gases of certain industrial process, the combustion air is preheated. The combustion air preheat results in less energy requirement, i.e., less need of fuel consumption and, in addition, minor amount of pollutants to be emitted. Due to better fitting to the process, it is studied the utilization of spiral plate heat exchangers. The heat exchanger dimensioning is made by an iterative method implemented in the software Microsoft Excel. Subsequently are analyzed the gains in terms of process's thermal efficiency improvement and the percentage of fuel saving. The latter implies in reduction of the same percentage of greenhouse gases emission

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Innovation in the field of Information Technology (IT) have made companies evaluate their processes and activity of its supply chain to conform to this new reality. In the supply chain management, one of the tools that revolutionized the activities was the use of management information systems such as ERP tool. This system allows greater integration of data from multiple areas of the enterprise and beyond, giving more activities to processes and activities. This work aims to analyze the results and impacts of the restructuring of an equipment leasing process in a Brazilian media company and verify that the gains and improvements that were targeted in the initial design of this restructuring have been achieved. Also the risks identified with this change will be studied, the reactions of those involved in this process and the performance of the chain as a whole. To carry out this work was carried out a single case study with data collection in the assessed company and literature related to supply chain and information systems

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Este artigo discute conceitos relevantes à perspectiva do curso de vida, porém pouco difundidos no Brasil: controle primário e controle secundário. O primeiro se refere aos esforços que o indivíduo empreende para adaptar o ambiente às suas necessidades; o segundo, para se adaptar ao ambiente. Apresenta-se a formulação original dos conceitos como modelo de dois processos de controle, em oposição a modelos de processo único, como o do desamparo aprendido. Em seguida, discute-se revisão conceitual que trouxe modificação e ampliação para estes construtos, concebendo-os em um modelo bidimensional que articula controle primário e secundário com os conceitos de seleção e compensação. Nesse processo, apresentam-se contribuições no intuito de estimular a reflexão e expandir a discussão teórico-conceitual que envolve estes construtos.

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In which refers to statistical process control, the analysis of univariate cases is not enough for many types of company, being necessary to resort to multivariate cases. Besides, it is usually supposed that the observations are independent. However, the violation of this hypothesis indicates the existence of autocorrelation in the process. In this work, by a basic quantitative approach for an exploratory and experimental research, the study target are the multivariate autocorrelated control charts, using Hotteling T². The ARL values were collected by simulations of a computational program on FORTRAN language, with objective of studying the charts properties, in addition to compare with the