999 resultados para Pavimentos : Pneus : Pressão : Análise experimental
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O presente trabalho constitui uma tentativa de exploração dos aspectos psicológicos inerentes ao processo de controle social, segundo a perspectiva da "análise experimental do comportamento" de B. F. Skinner. Diversas proposições sociológicas correntes sobre algumas dimensões do problema geral são levantadas e criticamente articuladas com a abordagem comportamental skinneriana. No primeiro capítulo - "O Controle Social nas Instituições Totais”, é feita uma introdução conceitual ao condicionamento operante aproveitando-se para isso a descrição sociológica realizada por Goffman da vida naquelas instituições, são também aí discutidas algumas das interpretações erroneas das proposições skinnerianas e seus maus usos nas organizações fechadas. Desenvolve-se, no segundo capítulo, um exame comparativo das ficções literárias de "1984 “ e "Walden II", com o propósito de pela focalização de suas técnicas características de controle social, suscitar já, de modo informal, diversos pontos críticos do problema, que vêm a receber tratamento mais pormenorizado nos três capítulos seguintes. Em "Controle Social na Vida Cotidiana", discute-se a natureza difusa que o controle assume nesse contexto mais amplo, ressaltando-se o emprego que se faz, para esse fim, de artifícios motivacionais e ideológicos. Para a articulação com o pensamento skinneriano, é privilegiada abordagem da Sociologia do Conhecimento proposta por Berger e Luckmann. No quarto capítulo, que trata da "Identificação de Controladores e Controlados", procede-se a uma reinterpretação comportamentista dos constructos cognitivistas de “intenção” e "percepção”, com que comumente se descreve as iniciativas de controle por parte dos atores sociais. A análise de Becker dos mecanismos de criação e imposição de regras é utilizada par a apoiar a estratégia de reinterpretação. O capítulo final explora uma dimensão menos tradicional do problema - "O Controle para a Mudança Social". As proposições específicas de dois autores Popper e Mannheim - são aqui articuladas com as de Skinner. Caracterizado o estado da sociedade contemporânea como de incessante mudança desordenada, discute-se as condições necessárias para uma mudança planejada e suas implicações psicossociais. Na conclusão do trabalho, busca-se ampliar a perspectiva histórica do problema do controle social, por meio de uma análise retrospectiva proporcionada por Schneider e uma especulação prospectiva envolvendo a apreciação sócio- política do controle gradualista e democrático da mudança social. Defende-se, durante essa apreciação, a tese de que a engenharia comportamental de Skinner é gradualista e democrática em seu todo.
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The Multiobjective Spanning Tree is a NP-hard Combinatorial Optimization problem whose application arises in several areas, especially networks design. In this work, we propose a solution to the biobjective version of the problem through a Transgenetic Algorithm named ATIS-NP. The Computational Transgenetic is a metaheuristic technique from Evolutionary Computation whose inspiration relies in the conception of cooperation (and not competition) as the factor of main influence to evolution. The algorithm outlined is the evolution of a work that has already yielded two other transgenetic algorithms. In this sense, the algorithms previously developed are also presented. This research also comprises an experimental analysis with the aim of obtaining information related to the performance of ATIS-NP when compared to other approaches. Thus, ATIS-NP is compared to the algorithms previously implemented and to other transgenetic already presented for the problem under consideration. The computational experiments also address the comparison to two recent approaches from literature that present good results, a GRASP and a genetic algorithms. The efficiency of the method described is evaluated with basis in metrics of solution quality and computational time spent. Considering the problem is within the context of Multiobjective Optimization, quality indicators are adopted to infer the criteria of solution quality. Statistical tests evaluate the significance of results obtained from computational experiments
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The techniques of Machine Learning are applied in classification tasks to acquire knowledge through a set of data or information. Some learning methods proposed in literature are methods based on semissupervised learning; this is represented by small percentage of labeled data (supervised learning) combined with a quantity of label and non-labeled examples (unsupervised learning) during the training phase, which reduces, therefore, the need for a large quantity of labeled instances when only small dataset of labeled instances is available for training. A commom problem in semi-supervised learning is as random selection of instances, since most of paper use a random selection technique which can cause a negative impact. Much of machine learning methods treat single-label problems, in other words, problems where a given set of data are associated with a single class; however, through the requirement existent to classify data in a lot of domain, or more than one class, this classification as called multi-label classification. This work presents an experimental analysis of the results obtained using semissupervised learning in troubles of multi-label classification using reliability parameter as an aid in the classification data. Thus, the use of techniques of semissupervised learning and besides methods of multi-label classification, were essential to show the results
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Multi-objective combinatorial optimization problems have peculiar characteristics that require optimization methods to adapt for this context. Since many of these problems are NP-Hard, the use of metaheuristics has grown over the last years. Particularly, many different approaches using Ant Colony Optimization (ACO) have been proposed. In this work, an ACO is proposed for the Multi-objective Shortest Path Problem, and is compared to two other optimizers found in the literature. A set of 18 instances from two distinct types of graphs are used, as well as a specific multiobjective performance assessment methodology. Initial experiments showed that the proposed algorithm is able to generate better approximation sets than the other optimizers for all instances. In the second part of this work, an experimental analysis is conducted, using several different multiobjective ACO proposals recently published and the same instances used in the first part. Results show each type of instance benefits a particular type of instance benefits a particular algorithmic approach. A new metaphor for the development of multiobjective ACOs is, then, proposed. Usually, ants share the same characteristics and only few works address multi-species approaches. This works proposes an approach where multi-species ants compete for food resources. Each specie has its own search strategy and different species do not access pheromone information of each other. As in nature, the successful ant populations are allowed to grow, whereas unsuccessful ones shrink. The approach introduced here shows to be able to inherit the behavior of strategies that are successful for different types of problems. Results of computational experiments are reported and show that the proposed approach is able to produce significantly better approximation sets than other methods
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Data classification is a task with high applicability in a lot of areas. Most methods for treating classification problems found in the literature dealing with single-label or traditional problems. In recent years has been identified a series of classification tasks in which the samples can be labeled at more than one class simultaneously (multi-label classification). Additionally, these classes can be hierarchically organized (hierarchical classification and hierarchical multi-label classification). On the other hand, we have also studied a new category of learning, called semi-supervised learning, combining labeled data (supervised learning) and non-labeled data (unsupervised learning) during the training phase, thus reducing the need for a large amount of labeled data when only a small set of labeled samples is available. Thus, since both the techniques of multi-label and hierarchical multi-label classification as semi-supervised learning has shown favorable results with its use, this work is proposed and used to apply semi-supervised learning in hierarchical multi-label classication tasks, so eciently take advantage of the main advantages of the two areas. An experimental analysis of the proposed methods found that the use of semi-supervised learning in hierarchical multi-label methods presented satisfactory results, since the two approaches were statistically similar results
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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
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Questões conceituais dentro dos sistemas explicativos em Psicologia podem ser trabalhadas através da busca dos termos e das condições definidoras de um determinado conceito ou fenômeno. Estudos de análise conceitual visam verificar quais os termos que não fazem parte de um conceito, a aplicação correta de um conceito já existente e em quais casos esse conceito pode ser aplicado. Visam a discriminação entre classes de eventos e a generalização intra classe. A aquisição e manutenção de cadeias comportamentais tem recebido o nome de encadeamento, referindo-se a sucessões de respostas, nas quais uma resposta produz as condições de estímulo para a resposta seguinte. Pode-se avaliar que grande parte do repertório dos organismos parece ocorrer de maneira organizada seqüencialmente em uma sucessão contínua. O comportamento ordinal vem sendo estudado através do exame do efeito de diferentes variáveis. Entretanto, a literatura operante tem mostrado diferentes termos para se referir ao fluxo contínuo e à sucessão de respostas. Esta pesquisa propôs verificando o comportamento lógico de alguns conceitos relacionados ao responder ordinal, investigando o nível de instrumentalidade através da especificação das variáveis controladoras nos procedimentos aplicados no âmbito da Análise Experimental do Comportamento. Por meio de algumas palavras-chave o material bibliográfico foi buscado em bancos de dados de periódicos científicos e livros da área. Em seguida, os trabalhos foram organizados em seis grupos diferentes de acordo com a semelhança em seus títulos e resumos. Por último, foram analisados destacando-se as principais variáveis envolvidas em cada tipo de procedimento. Foram selecionados 82 trabalhos, 14 artigos nacionais, 65 estrangeiros e 3 capítulos de livro, um nacional e dois estrangeiros. A análise descritiva das pesquisas demonstrou que nos grupos 2, 5 e 6 foi possível acessar informações comuns a todos os estudos. Além disso, verificou-se que o modelo analítico-comportamental de cadeia de respostas pareceu ser evidente nos estudos dos quatro primeiros grupos. Portanto, a verificação das variações de procedimento presentes nos experimentos possibilitou a organização e delimitação das variáveis envolvidas nos estudos sobre o responder ordinal. Tais informações poderão funcionar como um parâmetro de controle experimental no desenvolvimento de estudos futuros, bem como subsidiar investigações que visem verificar o efeito de variações de procedimento dentro de um mesmo grupo sobre o desempenho encontrado nos resultados dos estudos. Além disso, constatou-se que o emprego de um termo pode ser definido pelo contexto no qual o conhecimento é produzido, pois, os determinantes de um termo científico são produtos da complexidade de um contexto social que engendra mudanças no modo de tratar um determinado objeto de estudo.
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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
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The objective of the present work was to evaluate Pinus’ glued laminated timber (glulam) beams and steel reinforced glulam beams, using PU mono-component adhesive in lamination step and epoxy adhesive to bond steel bars. The mechanical performance was verified through bending test, and the adopted method based on homogenized section, to considerate the differences between wood and steel mechanical properties. The homogenization section method proved itself effective in obtaining the stiffness of the parts in MLCA. The stiffness of reinforced beams increased 91% in comparison with glulam beams, differing only 5.5 % from value of stiffness calculated
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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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Pós-graduação em Engenharia Mecânica - FEG
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Vegetable oils are characterized as important raw materials in the supplying of natural substances of interest pharmaceutical, food and cosmetic industry. Sunflower oil stands out for its important composition present in unsaturated fatty acids such as oleic acid (C18:1) and linoleic (C18:2), responsible for many health benefits. The main objective of this study is obtain enriched fractions in unsaturated compounds from refined sunflower oil. The oil used in this study was characterized by the determination of some properties, like iodine number, acid number and viscosity. A transesterification was done to transform the triglycerides into their corresponding methyl esters of fatty acids. These was submitted the molecular distillation process, for present as an efficient alternative to separation and purification of these substances, using high vacuum and low temperatures. Of the esters fractions that was obtained, were analyzed by gas chromatography. The experimental design technique was used to evaluate the influence of the temperature variation of evaporation and condensation system on the percentage obtained residue. The evaporator temperature proved to be the most influential variable on the studied response. The optimized conditions for the answer was studied at 100 °C for evaporator temperature and 10 °C for the condenser temperature. The graph of "split ratio" showed that for the lowest flow feed (1 mL/min) and higher evaporator temperature (110 °C) was obtained in the largest fraction of distillate. It also used the study of the influence of evaporator temperature on the concentration of unsaturated compounds. The best operating conditions for temperature was 90 °C reached 82.21 % of unsaturated compounds. Elimination curves of the unsaturated compounds present in the distillate stream were obtained. The simulation results of the molecular distillation process of sunflower oil showed the concentration profiles for three different feed flow rates. The speed, temperature and thickness profiles of the liquid film were obtained. The speed of the film increases as the fluid flows through the walls of the evaporator, reaching a maximum on length of 0.075 m. The film thickness decreases on the route, since many compounds are volatilized. The result of the temperature profile had to be consistent with the literature reproduced, being constant after reaching the maximum operating temperature in the length of 0.15 m. This study allowed characterizing and focusing, through experimental analysis, unsaturated compounds and observing the sunflower oil´s behavior through process simulation.
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Vegetable oils are characterized as important raw materials in the supplying of natural substances of interest pharmaceutical, food and cosmetic industry. Sunflower oil stands out for its important composition present in unsaturated fatty acids such as oleic acid (C18:1) and linoleic (C18:2), responsible for many health benefits. The main objective of this study is obtain enriched fractions in unsaturated compounds from refined sunflower oil. The oil used in this study was characterized by the determination of some properties, like iodine number, acid number and viscosity. A transesterification was done to transform the triglycerides into their corresponding methyl esters of fatty acids. These was submitted the molecular distillation process, for present as an efficient alternative to separation and purification of these substances, using high vacuum and low temperatures. Of the esters fractions that was obtained, were analyzed by gas chromatography. The experimental design technique was used to evaluate the influence of the temperature variation of evaporation and condensation system on the percentage obtained residue. The evaporator temperature proved to be the most influential variable on the studied response. The optimized conditions for the answer was studied at 100 °C for evaporator temperature and 10 °C for the condenser temperature. The graph of "split ratio" showed that for the lowest flow feed (1 mL/min) and higher evaporator temperature (110 °C) was obtained in the largest fraction of distillate. It also used the study of the influence of evaporator temperature on the concentration of unsaturated compounds. The best operating conditions for temperature was 90 °C reached 82.21 % of unsaturated compounds. Elimination curves of the unsaturated compounds present in the distillate stream were obtained. The simulation results of the molecular distillation process of sunflower oil showed the concentration profiles for three different feed flow rates. The speed, temperature and thickness profiles of the liquid film were obtained. The speed of the film increases as the fluid flows through the walls of the evaporator, reaching a maximum on length of 0.075 m. The film thickness decreases on the route, since many compounds are volatilized. The result of the temperature profile had to be consistent with the literature reproduced, being constant after reaching the maximum operating temperature in the length of 0.15 m. This study allowed characterizing and focusing, through experimental analysis, unsaturated compounds and observing the sunflower oil´s behavior through process simulation.
Arquitetura híbrida com DSP e FPGA para implementação de controladores de filtros ativos de potência
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The presence of non-linear loads at a point in the distribution system may deform voltage waveform due to the consumption of non-sinusoidal currents. The use of active power filters allows significant reduction of the harmonic content in the supply current. However, the processing of digital control structures for these filters may require high performance hardware, particularly for reference currents calculation. This work describes the development of hardware structures with high processing capability for application in active power filters. In this sense, it considers an architecture that allows parallel processing using programmable logic devices. The developed structure uses a hybrid model using a DSP and an FPGA. The DSP is used for the acquisition of current and voltage signals, calculation of fundamental current related controllers and PWM generation. The FPGA is used for intensive signal processing, such as the harmonic compensators. In this way, from the experimental analysis, significant reductions of the processing time are achieved when compared to traditional approaches using only DSP. The experimental results validate the designed structure and these results are compared with other ones from architectures reported in the literature.