45 resultados para auto regressive modeling
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Na óptica de um contínuo progresso do conhecimento científico do betão enquanto material aplicado na construção civil, tem-se investigado, principalmente nas últimas três décadas, novos métodos para a sua composição e concepção, visando a sua optimização. Uma destas variantes é o Betão Auto-compactável (BAC) capaz de se auto compactar apenmas pela acção do seu próprio peso. As caraterísticas reológicas necessárias a este tipo de betões tornam particularmente importante que a sua composição inclua adições. Neste contexto, pretendeu-se avaliar a viabilidade de reutilizar catalisador exausto da unidade de “craking” catalítico (FCC), produzido na refinaria de Sines, como adição na produção de BAC. A utilização deste material, com este fim, apresenta ainda as vantagens adicionais de diminuir o teor de cimento bem como constitui o aproveitamento dum subproduto industrial. A actividade laboratorial teve por base o método de produção de BAC proposto por Okamura et al com algumas modificações propostas por outros investigadores, nomeadamente, pelo Miguel Nepomuceno. Esta metodologia de preparação de BAC prevê duas fases experimentais principais que incluem: a preparação de argamassas e a preparação de betões. Neste sentido avaliou-se a possibilidade de preparar argamassas com a adição de 10 a 40%, em volume de catalisador exausto de FCC produzido na refinaria de Sines da empresa PETROGAL S.A.. Na fase experimental de estudo das argamassas no estado fresco realizaram-se ensaios de forma a estabelecerem-se os parâmetros reológicos. No estado endurecido das argamassas realizaram-se os ensaios de velocidade de propagação dos ultrassons, resistência à flexão e à compressão aos 7,28 e 90 dias de idade de hidratação. Tendo em consideração os resultados experimentais obtidos com as argamassas preparou-se BACs com incorporação de catalisador exausto de FCC. Nestes BACs realizaram-se os seguintes ensaios: no estado fresco: funil V, caixa L e anel J, e no estado endurecido: velocidade de propagação dos ultrassons; resistência à compressão; ensaios de absorção de água por capilaridade e imersão e ainda o ensaio de análise dimensional. Deste modo, concluiu-se que: foi possível preparar BACs com adição de catalisador exausto de FCC entre 10-25% de incorporação; os BACs preparados enquadram-se normativamente, segundo o preconizado pela NP EN 206-9, relativamente ás propriedades no estado fresco, revelando uma extensa gama de aplicações nas construções de Engenharia Civil; e é expectável que uma optimização dos BAC (em trabalhos futuros) possa vir a tornar mais extensa a gama de aplicações.
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Barreiras parentais à alimentação saudável: 1) intrapessoais (relacionadas com a criança preferências alimentares; o estado de saúde; dificuldades de mudança de hábitos; relacionadas com os pais: baixo controlo; baixa auto-eficácia; stress parental); 2) interpessoais (comportamento da criança às refeições; estrutura da família; influências dos pares e de outros familiares; tempo disponível); 3) ambientais (escola; recursos financeiros; tempo disponível). Objetivos do estudo: identificação das barreiras percecionadas pelos pais a uma alimentação saudável da criança; identificar as estratégias de confronto que os pais utilizam para lidar com estas barreiras; identificar as diferenças das barreiras e estratégias utilizadas ao longo do desenvolvimento da criança; avaliar o grau de eficácia atribuído às estratégias utilizadas.
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A esclerose múltipla é um doença crónica do sistema nervoso central, que afecta mais frequentemente adultos jovens, no auge da sua carreira profissional e desenvolvimento pessoal, sem cura e de causas desconhecidas. Os sintomas e sinais mais comuns são a fadiga, fraqueza muscular, alterações da sensibilidade, ataxia, alterações do equilíbrio, dificuldades na marcha, dificuldades de memória, alterações cognitivas e dificuldades na resolução de problemas. A esclerose múltipla é uma doença progressiva e imprevisível, resultando, nalguns casos, em incapacidades e limitações de actividade de vida diária, causando danos irreparáveis para os indivíduos. Esta doença pode surgir através de surtos ou de uma forma progressiva.
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In this work we develop and investigate generalized populational growth models, adjusted from Beta(p, 2) densities, with Allee effect. The use of a positive parameter leads the presented generalization, which yields some more flexible models with variable extinction rates. An Allee limit is incorporated so that the models under study have strong Allee effect.
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The aim of the present study was to test a hypothetical model to examine if dispositional optimism exerts a moderating or a mediating effect between personality traits and quality of life, in Portuguese patients with chronic diseases. A sample of 540 patients was recruited from central hospitals in various districts of Portugal. All patients completed self-reported questionnaires assessing socio-demographic and clinical variables, personality, dispositional optimism, and quality of life. Structural equation modeling (SEM) was used to analyze the moderating and mediating effects. Results suggest that dispositional optimism exerts a mediator rather than a moderator role between personality traits and quality of life, suggesting that “the expectation that good things will happen” contributes to a better general well-being and better mental functioning.
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Purpose: The most recent Varian® micro multileaf collimator(MLC), the High Definition (HD120) MLC, was modeled using the BEAMNRCMonte Carlo code. This model was incorporated into a Varian medical linear accelerator, for a 6 MV beam, in static and dynamic mode. The model was validated by comparing simulated profiles with measurements. Methods: The Varian® Trilogy® (2300C/D) accelerator model was accurately implemented using the state-of-the-art Monte Carlo simulation program BEAMNRC and validated against off-axis and depth dose profiles measured using ionization chambers, by adjusting the energy and the full width at half maximum (FWHM) of the initial electron beam. The HD120 MLC was modeled by developing a new BEAMNRC component module (CM), designated HDMLC, adapting the available DYNVMLC CM and incorporating the specific characteristics of this new micro MLC. The leaf dimensions were provided by the manufacturer. The geometry was visualized by tracing particles through the CM and recording their position when a leaf boundary is crossed. The leaf material density and abutting air gap between leaves were adjusted in order to obtain a good agreement between the simulated leakage profiles and EBT2 film measurements performed in a solid water phantom. To validate the HDMLC implementation, additional MLC static patterns were also simulated and compared to additional measurements. Furthermore, the ability to simulate dynamic MLC fields was implemented in the HDMLC CM. The simulation results of these fields were compared with EBT2 film measurements performed in a solid water phantom. Results: Overall, the discrepancies, with and without MLC, between the opened field simulations and the measurements using ionization chambers in a water phantom, for the off-axis profiles are below 2% and in depth-dose profiles are below 2% after the maximum dose depth and below 4% in the build-up region. On the conditions of these simulations, this tungsten-based MLC has a density of 18.7 g cm− 3 and an overall leakage of about 1.1 ± 0.03%. The discrepancies between the film measured and simulated closed and blocked fields are below 2% and 8%, respectively. Other measurements were performed for alternated leaf patterns and the agreement is satisfactory (to within 4%). The dynamic mode for this MLC was implemented and the discrepancies between film measurements and simulations are within 4%. Conclusions: The Varian® Trilogy® (2300 C/D) linear accelerator including the HD120 MLC was successfully modeled and simulated using the Monte CarloBEAMNRC code by developing an independent CM, the HDMLC CM, either in static and dynamic modes.
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Trabalho Final de Mestrado para obtenção do grau de Mestre em Engenharia mecânica
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Finding the structure of a confined liquid crystal is a difficult task since both the density and order parameter profiles are nonuniform. Starting from a microscopic model and density-functional theory, one has to either (i) solve a nonlinear, integral Euler-Lagrange equation, or (ii) perform a direct multidimensional free energy minimization. The traditional implementations of both approaches are computationally expensive and plagued with convergence problems. Here, as an alternative, we introduce an unsupervised variant of the multilayer perceptron (MLP) artificial neural network for minimizing the free energy of a fluid of hard nonspherical particles confined between planar substrates of variable penetrability. We then test our algorithm by comparing its results for the structure (density-orientation profiles) and equilibrium free energy with those obtained by standard iterative solution of the Euler-Lagrange equations and with Monte Carlo simulation results. Very good agreement is found and the MLP method proves competitively fast, flexible, and refinable. Furthermore, it can be readily generalized to the richer experimental patterned-substrate geometries that are now experimentally realizable but very problematic to conventional theoretical treatments.
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Dissertação apresentada à Escola Superior de Educação de Lisboa para obtenção de grau de mestre em Educação Artística, na Especialização de Artes Plásticas na Educação
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The aim of this paper is to develop models for experimental open-channel water delivery systems and assess the use of three data-driven modeling tools toward that end. Water delivery canals are nonlinear dynamical systems and thus should be modeled to meet given operational requirements while capturing all relevant dynamics, including transport delays. Typically, the derivation of first principle models for open-channel systems is based on the use of Saint-Venant equations for shallow water, which is a time-consuming task and demands for specific expertise. The present paper proposes and assesses the use of three data-driven modeling tools: artificial neural networks, composite local linear models and fuzzy systems. The canal from Hydraulics and Canal Control Nucleus (A parts per thousand vora University, Portugal) will be used as a benchmark: The models are identified using data collected from the experimental facility, and then their performances are assessed based on suitable validation criterion. The performance of all models is compared among each other and against the experimental data to show the effectiveness of such tools to capture all significant dynamics within the canal system and, therefore, provide accurate nonlinear models that can be used for simulation or control. The models are available upon request to the authors.
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Relatório da Prática Profissional Supervisionada Mestrado em Educação Pré-Escolar
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O presente relatório, no âmbito da obtenção do grau de Mestre no Ensino da Música, na Escola Superior de Música de Lisboa, descreve o estágio efectuado no Conservatório Regional de Setúbal e analisa a prática pedagógica do professor através de três alunos de violino e viola d´arco de níveis diferentes: Iniciação (violino); 4º grau, Ensino Básico (viola d´arco) e 7º grau, Ensino Secundário (viola d´arco). São descritas e analisadas as práticas pedagógicas desenvolvidas com base na filosofia do Método Suzuki e na Teoria da Auto-determinação de Edward L. Deci e Richard M. Ryan. O objectivo fundamental do processo de ensino- aprendizagem é a criação de condições para que os alunos se motivem autonomamente e atinjam níveis altos de motivação intrínseca (Teoria da Auto-determinação), e que se tornem bons instrumentistas e melhores seres humanos (Método Suzuki).
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This article addresses the problem of obtaining reduced complexity models of multi-reach water delivery canals that are suitable for robust and linear parameter varying (LPV) control design. In the first stage, by applying a method known from the literature, a finite dimensional rational transfer function of a priori defined order is obtained for each canal reach by linearizing the Saint-Venant equations. Then, by using block diagrams algebra, these different models are combined with linearized gate models in order to obtain the overall canal model. In what concerns the control design objectives, this approach has the advantages of providing a model with prescribed order and to quantify the high frequency uncertainty due to model approximation. A case study with a 3-reach canal is presented, and the resulting model is compared with experimental data. © 2014 IEEE.
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This paper focuses on a novel formalization for assessing the five parameter modeling of a photovoltaic cell. An optimization procedure is used as a feasibility problem to find the parameters tuned at the open circuit, maximum power, and short circuit points in order to assess the data needed for plotting the I-V curve. A comparison with experimental results is presented for two monocrystalline PV modules.
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We prove existence, uniqueness, and stability of solutions of the prescribed curvature problem (u'/root 1 + u'(2))' = au - b/root 1 + u'(2) in [0, 1], u'(0) = u(1) = 0, for any given a > 0 and b > 0. We also develop a linear monotone iterative scheme for approximating the solution. This equation has been proposed as a model of the corneal shape in the recent paper (Okrasinski and Plociniczak in Nonlinear Anal., Real World Appl. 13:1498-1505, 2012), where a simplified version obtained by partial linearization has been investigated.