971 resultados para metodo mae canguru
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Neste trabalho apresenta-se uma solu c~ao para um problema abstrato de Cauchy. Basicamente, d a-se uma formula c~ao abstrata para certos tipos de equa c~oes diferenciais parciais n~ao lineares de evolu c~ao em espa cos de Nikol'skii, tais espa cos possuem boas propriedades de regularidade e resultados de imers~ao compacta, num certo sentido s~ao intermedi arios entre os espa cos de Holder e os espa cos de Sobolev. Aplicando o m etodo de Galerkin, prova-se resultados de exist^encia global de solu c~oes fracas, como tamb em a exist^encia de solu c~oes fracas com a propriedade de reprodu c~ao. E impondo mais hip oteses sobre os operadores envolvidos demonstra-se unicidade de solu c~oes fracas.
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Neste trabalho, apresenta-se um estudo numérico de um modelo convectivo-difusivo-reativo em combustão baseado no Método de Elementos Finitos. Primeiramente, apresenta-se o desenvolvimento das equações de balanço (quantidade de movimento, massa, espécie e energia) que modelam um processo de mistura molecular e reação química, irreversível, de passo único e exotérmica entre duas espécies químicas F (Combustível) e O (Oxidante). Tais espécies reagem e formam um produto P, conforme vFF +vOO ! vPP + calor, onde vF , vO e vP são os coeficientes estequiométricos molares. No modelo, considera-se que a reação é de primeira ordem com respeito a cada um dos reagentes e que a taxa de reação específica segue a cinética de Arrhenius. Em seguida, o modelo é estudado numericamente considerando-se um domínio retangular e condições de contorno do tipo Neumann. Tanto a Técnica das Diferenças Finitas como a Técnica de Elementos Finitos são utilizadas na discretização espacial das equações do modelo. Para a integração no tempo, utiliza-se a método de Runge-Kutta simplificado de três estágios. Os diferentes códigos computacionais obtidos, tanto pela Técnica de Diferenças Finitas como de Elementos Finitos, são comparados frente ao problema de interesse. Observa-se que ambas as técnicas apresentam resultados equivalentes. Além disso, os códigos desenvolvidos são robustos (capazes de lidar com vários conjuntos de parâmetros), de baixo custo e precisos. Por fim, apresenta-se uma revisão do trabalho de Zavaleta [48], no qual obtem-se uma estimativa local do erro na aproximação do problema estudado pela Técnica de Elementos Finitos.
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Esta tese está inserida no trabalho desenvolvido pelo Grupo de Pesquisa de Inteligência Artificial (GIA) da UFRGS, sob a orientação da Professora. Dra. Rosa Maria Vicari e situa-se na área da Inteligência Artificial, com aplicações na Educação a Distância. As principais áreas onde este trabalho de Pesquisa se situa são: Sistemas Tutores Inteligentes, Sistemas Multiagente e Psicologia Social Cognitiva. Dentro desse contexto, o objetivo principal desta pesquisa é a modelagem computacional de aspectos da auto-eficácia de alunos realizando cursos on-line, tomando-se por base o trabalho de Bandura, cuja natureza engloba a cognição e afetividade. Este autor define como Auto-Eficácia "a crença do indivíduo sobre as suas capacidades de exercer controle sobre acontecimentos que afetam a sua vida" e “a crença nas suas capacidades para mobilizar motivação, recursos cognitivos e implementar ações que lhe permitam exercer controle sobre tarefas exigidas". Esta tese propõe um agente capaz de perceber e monitorar os aspectos da autoeficácia do aluno, denominado agente Mediador da Auto-Eficácia (MAE), e prover o modelo do aluno com esta nova variável. O senso de auto-eficácia consiste em crenças, que são processos cognitivos do indivíduo sobre suas capacidades. É em função das crenças de auto-eficácia que ocorrerão as escolhas, a direção e a persistência nos comportamentos de aprendizagem por parte do aluno. Nesse contexto, acredita-se que o desenvolvimento do senso de auto-eficácia do aluno poderá lhe conferir a força motivacional para elaborar sua aprendizagem. O agente MAE monitora o comportamento do aluno através de uma máquina de inferência fuzzy das relações entre as variáveis esforço, persistência e desempenho e aciona um sistema de feedback através do agente pedagógico animado (PAT). O feedback realizado pelo agente pedagógico animado apresenta ao aluno comportamentos verbais e físicos afetivos. O agente MAE está inserido no ambiente InteliWeb, que oferece um material instrucional de Biociências e foi implementado com Servlets e páginas JSP. A maior contribuição desta tese está na agregação de aspectos da auto-eficácia no modelo de aluno envolvido em situações de ensino aprendizagem de alunos, avançando dentro da perspectiva de pesquisa do GIA, assim como o desenvolvimento do InteliWeb com a inserção do agente MAE e sua máquina de inferência fuzzy.
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Estuda-se a intervenção do Estado na economia através da regulação, tendo como objeto de análise o setor elétrico brasileiro. O presente estudo tem como objetivo verificar de que forma o Estado, desde a promulgação da Constituição de 1988, buscou cumprir os princípios estabelecidos na Ordem Econômica constitucional e exercer a sua função de ente regulador, fiscalizador, planejador e indutor do crescimento econômico, no setor elétrico. Analisa-se a reforma do Estado pensada pelo ex-Ministro Bresser Pereira e a inclusão de empresas do setor elétrico no Plano Nacional de Desestatização. Observa-se que o processo de privatização permanece inacabado nos segmentos da geração e da transmissão. Investiga-se a instituição do MAE e a criação do produtor independente de energia elétrica, no contexto de uma reforma que pretendia encaminhar o setor elétrico para o livre mercado. Estuda-se a crise de racionamento e a mudança de estratégia do Governo, cuja prioridade passou a ser um maior planejamento central que garantisse a segurança energética e a expansão da geração e transmissão. Analisa-se as diferenças entre o ACL e o ACR, bem como a formação do preço da energia elétrica em cada um e conclui-se, por meio da leitura de precedentes do CADE, que trata-se do mesmo mercado relevante na dimensão produto. Investiga-se as mudanças trazidas pela MP-579 e de que forma a intervenção do Estado no setor elétrico aumentou, e os impactos que isso trouxe. Conclui-se que, a partir da edição da MP-579, a intervenção do Estado no setor elétrico aumentou com o objetivo de controlar os preços e garantir a segurança energética, mas que as mudanças regulatórias não foram bem sucedidas em manter e a tarifa da energia paga pelo consumidor final em patamares baixos, tampouco em garantir a oferta de energia elétrica suficiente para cobrir a demanda das distribuidoras.
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Módulo 2
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Forecast is the basis for making strategic, tactical and operational business decisions. In financial economics, several techniques have been used to predict the behavior of assets over the past decades.Thus, there are several methods to assist in the task of time series forecasting, however, conventional modeling techniques such as statistical models and those based on theoretical mathematical models have produced unsatisfactory predictions, increasing the number of studies in more advanced methods of prediction. Among these, the Artificial Neural Networks (ANN) are a relatively new and promising method for predicting business that shows a technique that has caused much interest in the financial environment and has been used successfully in a wide variety of financial modeling systems applications, in many cases proving its superiority over the statistical models ARIMA-GARCH. In this context, this study aimed to examine whether the ANNs are a more appropriate method for predicting the behavior of Indices in Capital Markets than the traditional methods of time series analysis. For this purpose we developed an quantitative study, from financial economic indices, and developed two models of RNA-type feedfoward supervised learning, whose structures consisted of 20 data in the input layer, 90 neurons in one hidden layer and one given as the output layer (Ibovespa). These models used backpropagation, an input activation function based on the tangent sigmoid and a linear output function. Since the aim of analyzing the adherence of the Method of Artificial Neural Networks to carry out predictions of the Ibovespa, we chose to perform this analysis by comparing results between this and Time Series Predictive Model GARCH, developing a GARCH model (1.1).Once applied both methods (ANN and GARCH) we conducted the results' analysis by comparing the results of the forecast with the historical data and by studying the forecast errors by the MSE, RMSE, MAE, Standard Deviation, the Theil's U and forecasting encompassing tests. It was found that the models developed by means of ANNs had lower MSE, RMSE and MAE than the GARCH (1,1) model and Theil U test indicated that the three models have smaller errors than those of a naïve forecast. Although the ANN based on returns have lower precision indicator values than those of ANN based on prices, the forecast encompassing test rejected the hypothesis that this model is better than that, indicating that the ANN models have a similar level of accuracy . It was concluded that for the data series studied the ANN models show a more appropriate Ibovespa forecasting than the traditional models of time series, represented by the GARCH model
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Ta-Cu bulk composites combine high mechanical resistance of the Ta with high electrical and thermal conductivity of the Cu. These are important characteristics to electrical contacts, microwave absorber and heat skinks. However, the low wettability of Ta under Cu liquid and insolubility mutual these elements come hard sintering this composite. High-energy milling (HEM) produces composite powders with high homogeneity and refines the grain size. This work focus to study Ta-20wt%Cu composite powders prepared by mechanical mixture and HEM with two different conditions of milling in a planetary ball mill and then their sintering using hydrogen plasma furnace and a resistive vacuum furnace. After milling, the powders were pressed in a steel dye at a pressure of 200 MPa. The cylindrical samples pressed were sintered by resistive vacuum furnace at 10-4torr with a sintering temperature at 1100ºC / 60 minutes and with heat rate at 10ºC/min and were sintered by plasma furnace with sintering temperatures at 550, 660 and 800ºC without isotherm under hydrogen atmosphere with heat rate at 80ºC/min. The characterizations of the powders produced were analyzed by scanning electron microscopy (SEM), x-ray diffraction (XRD) and laser granulometry. After the sintering the samples were analyzed by SEM, XRD and density and mass loss tests. The results had shown that to high intense milling condition produced composite particles with shorter milling time and amorphization of both phases after 50 hours of milling. The composite particles can produce denser structure than mixed powders, if heated above the Cu melting point. After the Cu to arrive in the melting point, liquid copper leaves the composite particles and fills the pores
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The Tungsten/copper composites are commonly used for electrical and thermal objectives like heat sinks and lectrical conductors, propitiating an excellent thermal and electrical conductivity. These properties are dependents of the composition, crystallite size and production process. The high energy milling of the powder of W-Cu produces an dispersion high and homogenization levels with crystallite size of W very small in the ductile Cu phase. This work discusses the effect of the HEM in preparation of the W-25Cu composite powders. Three techniques of powder preparation were utilized: milling the dry with powder of thick Cu, milling the dry with powder of fine Cu and milling the wet with powder of thick Cu. The form, size and composition of the particles of the powders milled were observed by scanning electron microscopy (SEM). The X-ray diffraction (XRD) was used to analyse the phases, lattice parameters, size and microstrain of the crystallite. The analyse of the crystalline structure of the W-25Cu powders milled made by Rietveld Method suggests the partial solid solubility of the constituent elements of the Cu in lattice of the W. This analyse shows too that the HEM produces the reduction high on the crystallite size and the increase in the lattice strain of both phases, this is more intense in the phase W
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In this work, was studied the formation of a composite of the refractory metal niobium with copper, through the process of high-energy milling and liquid phase sintering. The HEM can be used to synthesize composite powders with high homogeneity and fine size particle distribution. It may also produce the solid solubility in immiscible systems such as Nb-Cu, or extend the solubility of systems with limited solubility. Therefore, in the immiscible system Cu-Nb, the high-energy milling was successfully used to obtain the composite powder particles. Initially, the formation of composite particles during the HEM and the effect of preparation technique on the microstructure of the material was evaluated. Four loads of Nb and Cu powders containing 20%wt Cu were synthesized by MAE in a planetary type ball mill under different periods of grinding. The influence of grinding time on the metal particles is evaluated during the process by the withdrawal of samples at intermediate times of milling. After compaction under different forces, the samples were sintered in a vacuum furnace. The liquid phase sintering of these samples prepared by HEM produced a homogeneous and fine grained. The composite particles forming the sintered samples are the addition of a hard phase (Nb) with a high melting point, and a ductile phase (Cu) with low melting point and high thermal and electrical conductivities. Based on these properties, the Nb-Cu system is a potential material for many applications, such as electrical contacts, welding electrodes, coils for generating high magnetic fields, heat sinks and microwave absorbers, which are coupled to electronic devices. The characterization techniques used in this study, were laser granulometry, used to evaluate the homogeneity and particle size, and the X-ray diffraction, in the phase identification and to analyze the crystalline structure of the powders during milling. The morphology and dispersion of the phases in the composite powder particles, as well the microstructures of the sintered samples, were observed by scanning electron microscopy (SEM). Subsequently, the sintered samples are evaluated for density and densification. And finally, they were characterized by techniques of measuring the electrical conductivity and microhardness, whose properties are analyzed as a function of the parameters for obtaining the composite
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Metallic tantalum has a high commercial value due to intrinsic properties like excellent ductility, corrosion resistance, high melt and boiling points and good electrical and thermal conductivities. Nowadays, it is mostly used in the manufacture of capacitors, due to excellent dielectric properties of its oxides. In the nature, tantalum occurs in the form of oxide and it is extracted mainly from tantalite-columbite ores. The tantalum is usually produced by the reduction of its oxide, using reductants like carbon, silicon, calcium, magnesium and aluminum. Among these techniques, the aluminothermic reduction has been used as the industrial method to produce niobium, tantalum and their alloys, due to the easy removal of the Al and Al2O3 of the system, easing further refining. In conventional aluminothermic reduction an electrical resistance is used to trigger the reaction. This reaction self-propagates for all the volume of material. In this work, we have developed a novel technique of aluminothermic reduction that uses the hydrogen plasma to trigger the reaction. The results obtained by XRD, SEM and EDS show that is possible to obtain a compound rich in tantalum through this technique of aluminothermic reduction in the plasma reactor
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One of the main activities in the petroleum engineering is to estimate the oil production in the existing oil reserves. The calculation of these reserves is crucial to determine the economical feasibility of your explotation. Currently, the petroleum industry is facing problems to analyze production due to the exponentially increasing amount of data provided by the production facilities. Conventional reservoir modeling techniques like numerical reservoir simulation and visualization were well developed and are available. This work proposes intelligent methods, like artificial neural networks, to predict the oil production and compare the results with the ones obtained by the numerical simulation, method quite a lot used in the practice to realization of the oil production prediction behavior. The artificial neural networks will be used due your learning, adaptation and interpolation capabilities
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Investigate intrahospital and neonatal determinants associated to the weaning of very low birth weight (VLBW) infants. Methods: 119 VLBW (<1500g) infants 81 were monitored from July 2005 through August 2006, from birth to the first ambulatory visit after maternity discharge. This maternity unit uses the Kangaroo Method and the Baby Friendly Hospital Initiative. Results: Out of 119 VLBW infants monitored until discharge, 88 (75%) returned to the facility, 22 (25%) were on exclusive breastfeeding (EB) and 66 (75%) were weaned (partial breastfeeding or formula feeding). Univariate analysis found an association between weaning and lower birth weight, longer stays in the NICU and longer hospitalization times, in addition to more prolonged enteral feeding and birth weight recovery period. Logistic regression showed length of NICU stay as being the main determinant of weaning. Conclusion: The negative repercussion on EB of an extended stay in the NICU is a significant challenge for health professionals to provide more adequate nutrition to VLBW infants
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The drug targeting has been the subject of extensive studies in order to develop site-specific treatments that minimize side effects and become more effective anticancer therapy. Despite considerable interest in this class, drugs like antibiotics also have limitations, and have been neglected. Using new pharmaceutical technologies, the use of magnetic vectors appear as promising candidate for drug delivery systems in several studies. Small magnetic particles bound to the drug of interest can be modulated according to the orientation of a magnet outside the body, locating and holding in a specific site. In this work, we propose the use of High Energy Milling (HEM) for synthesis of a magnetic vector with characteristics suitable for biomedical applications by intravenous administration, and for the formation of an oxacillin-carrier complex to obtain a system for treating infections caused by Staphylococcus aureus. The results of the variation of milling time showed that the size and structural properties of the formed material change with increasing milling time, and in 60 hours we found the sample closest to the ideal conditions of the material. The vector-drug system was studied in terms of structural stability and antimicrobial activity after the milling process, which revealed the integrity of the oxacillin molecule and its bactericidal action on cultures of Staphylococcus aureus ATCC
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Nowdays, recycling became a relevant social and educational aim among many other factors, which involve balance between man and nature. This study relates the experiences with the production of recycled handmade paper directed at the teaching in Universidade Federal do Rio Grande do Norte UFRN, and through workshops of carnauba recycled handcrafts papers as a pioneer activity accomplished at the Felix Rodrigues Foundation, in the city of Pendências, Açu Valley, Rio Grande do Norte. A bibliographic review was done about the history of handmade paper and a discussion about carnauba´s paper artistic possibilities in art-education. Analyses within the context of art teaching, accordingly to Ana Mae Barbosa´s triangle propose and, also, Buoro, Ostrower and Nachmanovitch´s pedagogy of art. It deals with a group of artisans in order to establish the nature of their relationship and the possibilities of achieving more ecological awareness. Finally, we intend to realize a dialogue with Morin and other authors
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El concepto de paisaje, caracterizado por la colaboración de distintos dominios cognitivos, atraviesa campos disciplinarios y formas de estructurar la producción de conocimiento a través del Arte. Para Cauquelin (2007), la representación occidental de la mirada paisajística es siempre una mirada estética que indica una conexión inseparable de la forma percibida con la forma sentida. Esa mirada estética recuerda al hombre su condición bioantropológica. En ese sentido, entiendo que un paisaje se presenta como un medio donde el humano puede ejercer su singularidad poética, transitando, así, por campos o capas de conocimientos diversos capaces de ampliar su visión rearticuladora del mundo. Motivada por esa percepción, elegí como campo empírico el Museo Taller de Cerámica Francisco Brennand, en Recife, Pernambuco. Reconstruido por el artista, el lugar, injertado de recuerdos de la infancia, pasa a abrigar, a partir de 1971, el conjunto de su obra de cerámica y pintórica. La frecuentación del artista transformó la estrategia metodológica de la entrevista en sabias y agradables conversaciones, que me proporcionaron la experiencia de otras posibilidades de enfoque durante la realización de la investigación. El objetivo de la investigación es ampliar las relaciones conceptuales entre paisaje y representación, en el sentido de privilegiar a la imaginación creativa. Tomé al paisaje como una metáfora y como un operador cognitivo, imprescindibles para el aprendizaje de la condición humana. Compartir estrategias a la vez complementares y recíprocas es lo que proponen Almeida (2009) y Morin con vistas a volver a enlazar la cultura científica y la cultura humanística, en un metodo mestizo y bricoleur que es necesaria para una reforma del pensamiento que lleva en cuenta el ensueño de la materia propuesto por Bachelard (2008). El arte se convierte, así, en un operador cognitivo capaz de promover cambios en el contexto de la educación, en dirección a una pedagogía con base compleja, como propone Pereira (1999)