998 resultados para mundo real
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Projetos de automação industrial são avaliados financeiramente através dos métodos bastante utilizados de Valor Presente Líquido (VPL) e Taxa Interna de Retorno (TIR). Estudos recentes mostram uma tendência para a utilização de outros métodos para realizar esta avaliação. Este trabalho explora o método alternativo de Opções Reais para avaliação desses projetos que busca se aproximar mais do mundo real considerando maior incerteza e flexibilidade do que o VPL. Inicialmente será feita uma revisão de literatura focando o método binomial dentro de Opções Reais. A metodologia proposta é um estudo de caso de um projeto no mercado de cerveja no Brasil, utilizando como fonte uma empresa multinacional de grande porte fornecedora desse projeto. Posteriormente será feita uma análise financeira primeiramente utilizando somente o VPL e posteriormente incorporando o método binomial de Opções Reais, resultando no VPL estendido. O objetivo é precificar a flexibilidade das Opções Reais presentes no contrato de fornecimento do projeto em estudo que normalmente não são consideradas. Com isso pretende-se verificar se o método binomial de Opções Reais faz real diferença no projeto em estudo.
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Os pré-socráticos ou filósofos da natureza foram os primeiros filósofos que procuravam explicar o mundo pela observação da natureza. É nesse contexto que Sócrates surge e busca conhecer a essência humana. Para ele, a nossa sabedoria está na consciência em saber aquilo que não se sabe. Assim, esse filósofo pensa que a busca do conhecimento se dá ao reconhecer aquilo que não se sabe. Sócrates cria, então, a maiêutica socrática, que é um método educativo e filosófico. Já Platão procura discutir a questão do conhecimento baseando-se na existência de dois mundos: um mundo real ou inteligível e outro ilusório ou sensível. No Mito da Caverna Platão explica essa sua visão dualista. Esse filósofo levanta um ponto importante quando ressalta que a educação do homem é a solução dos problemas éticos e políticos do seu tempo a partir da formação de filósofos governantes. Somente dessa forma teríamos uma sociedade mais justa.
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O item não apresenta o texto completo, pois está passando por revisão editorial
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Este material traz a definição de matemática discreta, tendo como objetivo desenvolver e complementar o ferramental matemático básico do aluno para o aprendizado da computação. Apresenta a diferença de matemática contínua e matemática discreta. As disciplinas de Matemática Discreta estão presentes em todos os cursos de computação, devido à sua importância para quase todas as áreas da computação, principalmente construção de algoritmos, linguagens de programação e compiladores. A matemática como um todo oferece ferramentas para modelar e solucionar diversos problemas do mundo real.
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Este trabalho aborda a crescente necessidade de verificação e testes das redes antes da sua implementação no mundo real. Variáveis como o investimento, estudo qualidade-custo, questões de gestão, fiabilidade e tempo de vida útil são parte das principais preocupações associadas a existentes e futuras redes. É sobretudo neste âmbito que este projecto opera, fornecendo uma solução para uma optimização da autoria de cenários de redes visando a sua execução na ferramenta de simulação de redes NS-3. As tecnologias emergentes são os alvos mais comuns de ferramentas de simulação de redes e este facto é determinante ao decidir que simulador de redes usar para simular os seus cenários. Com este trabalho, o principal objectivo é fornecer aos utilizadores uma ferramenta colaborativa que permite descrever os seus próprios cenários de redes, baseando-se numa linguagem XML denominada por NSDL e traduzir esta estrutura XML para um script C++ que possa ser executado num ambiente evolucionário, como é o caso do NS-3. A solução proposta permite a rápida criação de cenários de redes através de estruturas de dados XML para posterior tradução para C++ e então, execução no NS-3. A maior problemática associada a esta solução é a necessidade de actualização constante em estruturas de validação e de tradução de documentos XML, aquando da actualização da ferramenta NS-3, o que tem vindo a acontecer muito frequentemente devido à sua própria evolução.
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Contribuição para o Estudo da Aprendizagem da Matemática e da Programação em Comunidades Virtuais de Prática com Foco no Uso de Robots como Mediadores da Aprendizagem O propósito deste estudo, desenvolvido no âmbito de um projeto de investigação que envolveu a utilização de robots na aprendizagem colaborativa da Matemática e da Informática através da Web, é analisar e discutir a noção de participação e o processo de construção do conhecimento em comunidades virtuais de prática. O referido projeto foi desenvolvido em três etapas principais. Na primeira, foram selecionadas as ferramentas de comunicação a serem utilizadas. A segunda etapa envolveu a elaboração e contextualização dos problemas-desafio a serem resolvidos pelos grupos virtuais. A terceira e última etapa do projeto compreendeu o registo e a recolha dos dados e informações obtidos nas reuniões virtuais com grupos de alunos do Ensino Secundário e sua posterior análise, utilizando uma abordagem qualitativa de natureza interpretativa, tendo como referencial teórico a teoria da aprendizagem situada de Lave e Wenger e os conceitos subjacentes às comunidades de prática, objetivando com isto melhor compreender os efeitos das tecnologias sobre tais comunidades, bem como as características da aprendizagem realizada em espaços virtuais. A utilização de robots como mediadores da aprendizagem facilitou a exploração de conceitos abstratos fundamentais relativos às áreas da Matemática e da Informática, permitindo com isto que as tarefas de programação necessárias à resolução dos problemas propostos fizessem mais sentido, pelo facto dos resultados obtidos poderem ser concretizados no mundo real.
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This study deals with the rural social security Universalist established by the Constitution of 1988 and its importance in the economy of the municipalities of Rio Grande do Norte. In this context, the study seeks to satisfy two important criteria that guide the selection of objects of social science research: a consideration of issues that have relevance to the real world and the intention to make the contribution to the scholarly literature on theoretical and empirical aspects. The research seeks to reveal what is the economic importance of the subsystem of social security for rural municipalities in RN. The hypothesis is that the transfer of income received by beneficiaries from the rural social security tax exceeds the explicit mechanisms for most municipalities in RN, in many cases significantly, proving the importance of this policy as a mechanism for combating poverty and reducing social inequality, especially before the fragility of the federal system on the national political entity hall. The study presents theoretical cores - chapters 1-3 - and empirical - Chapter 4. The first core is about the evolution of social protection as a state policy, addressing the influential theories and typologies of the State of Social Welfare and the characteristics of the Brazilian social security model, but mainly, its rural social security subsystem, its history until universalistic model inaugurated by the Federal Constitution of 1988. The second begins with an overview of studies that have emphasized the impact of Social Security on the local economy of small municipalities, then passing data and statistics in order to gauge the socioeconomic importance of pension income in the rural municipalities of Rio Grande do Norte. To this end, the final chapter provides a comparison of the monetary value transferred by the payment of social security benefits - rural and urban - to each of the 167 municipalities in RN with the equally important sources of income in the budget of municipal entities. Apart from their own tax revenues, are objects of comparison with the value of pension benefits awarded in RN, transfer quota state relating to the municipality on the federal ICMS and the transfer on the FPM
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To the we assume the disciplines of the area of Literacy of the course of Pedagogy, our intention has been the one of working the literacy, the reading and the writing as alive processes, as social practices inserted in the history, continuators of the subjectivity, done in the culture and producing of culture. The importance of the course of Pedagogy in the teachers' formation is unquestionable; however our goal is to highlight, in this work, the paper of that course in the formation of the teacher alphabetized, while mediator of the literacy process with an inclusive vision. In that to walk, it appeared us the following subject: which the contributions and the gaps theoretical-practices - of degree courses in Pedagogy - experienced for the exits of that course, in the specific pedagogic work of alphabetizing children, young adult and/or our study aims at to investigate, under the perspective of teachers alphabetizer licensed in courses of Pedagogy, the contributions and the theoretical-practical gaps of those courses, in the formation of the educator alphabetizer. In this sense, our work if it bases on the presuppositions of the qualitative investigation that leaves of the foundation that there is a dynamic relationship among the real and subjective world, an alive interdependence between subject and object, an entail indissoluble between the objective world and the subjective (CHIZZOTTI, 1998, p.79). The research is characterized as a descriptive and interpretative study and for the collection of data; the questionnaire, the semi-structured interview and the documental analysis were used. We took the following providences for the choice of Locus and of the subject of the research: it visits to the schools; compatibility of the criteria previously defined for choice of Locus and of the Subjects. For the choice of those schools, we defined the following criteria: that, in your individuality / totality, they were located in integral neighborhoods of, at least three of the four administrative areas of the city of Natal; that, in your individuality / totality, they contemplated the public spheres and private of attendance; that, in the year of accomplishment of the research - 2004 - they were offering infantile education and/or fundamental teaching; this last one gone back to the children of the initial years and/or for the youth and adult of the first levels of the modality of EJA; and that made possible the researcher's access. Front to the particularities of our study object and considering the criteria of choice of the locus, four public schools and three private schools were selected. Like this being, in those schools, we would look for the subject of our work that they would owe: 1) to be working, in 2004, with children's literacy, youths or adults: they as teacher (the), it as coordinator (the) that guides teachers alphabetizer, in public schools or peculiar of the city of the Natal-RN; 2) to be exit (the) of the degree course in Pedagogy, supplied by institutions of superior level (public or matters) of the city of the Natal-RN; 3) to have concluded your course of Pedagogy in the period of 1990-2004; 4) to have, at least, 01(one) year of experience in literacy rooms (TARDIF, 2002). The subjects interviewees concluded your courses of Pedagogy, in the period from 1990 to 2004, in institutions different from the city of Natal/RN, being five to the whole: two public IES and three deprived IES. Of the analysis of the data, the theme emerged, ' teacher's Alphabetizer Educational Formation in Courses of Pedagogy', with the following categories: contributions of the courses of Pedagogy; More important disciplines in the educational formation; Areas / Aspects lacunars of the courses of Pedagogy. The pedagogic practice of the teacher alphabetizer demands a formation from him found in you know educational, requested in the children's literacy, youths and adults. In that work, we defended the thesis that the course of Pedagogy is the locus, par excellence, for that formation, in spite of possible structural limitations and curricular of the referred course. In spite of the countless contributions of the pedagogy course for the formation of the teacher alphabetizer, our data appear for the need of a revision of the proposals curricular of that course, getting the attention for the importance of a proposal formation curricular more gone back to the literacy process / literate and for the social inclusion. We thought that, although insufficient, the teacher's formation in that perspective is a fundamental condition for a practice pedagogic alphabetizer to be promoted, in fact, inclusive and promoter of the school success
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In the recovering process of oil, rock heterogeneity has a huge impact on how fluids move in the field, defining how much oil can be recovered. In order to study this variability, percolation theory, which describes phenomena involving geometry and connectivity are the bases, is a very useful model. Result of percolation is tridimensional data and have no physical meaning until visualized in form of images or animations. Although a lot of powerful and sophisticated visualization tools have been developed, they focus on generation of planar 2D images. In order to interpret data as they would be in the real world, virtual reality techniques using stereo images could be used. In this work we propose an interactive and helpful tool, named ZSweepVR, based on virtual reality techniques that allows a better comprehension of volumetric data generated by simulation of dynamic percolation. The developed system has the ability to render images using two different techniques: surface rendering and volume rendering. Surface rendering is accomplished by OpenGL directives and volume rendering is accomplished by the Zsweep direct volume rendering engine. In the case of volumetric rendering, we implemented an algorithm to generate stereo images. We also propose enhancements in the original percolation algorithm in order to get a better performance. We applied our developed tools to a mature field database, obtaining satisfactory results. The use of stereoscopic and volumetric images brought valuable contributions for the interpretation and clustering formation analysis in percolation, what certainly could lead to better decisions about the exploration and recovery process in oil fields
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The Support Vector Machines (SVM) has attracted increasing attention in machine learning area, particularly on classification and patterns recognition. However, in some cases it is not easy to determinate accurately the class which given pattern belongs. This thesis involves the construction of a intervalar pattern classifier using SVM in association with intervalar theory, in order to model the separation of a pattern set between distinct classes with precision, aiming to obtain an optimized separation capable to treat imprecisions contained in the initial data and generated during the computational processing. The SVM is a linear machine. In order to allow it to solve real-world problems (usually nonlinear problems), it is necessary to treat the pattern set, know as input set, transforming from nonlinear nature to linear problem. The kernel machines are responsible to do this mapping. To create the intervalar extension of SVM, both for linear and nonlinear problems, it was necessary define intervalar kernel and the Mercer s theorem (which caracterize a kernel function) to intervalar function
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Self-organizing maps (SOM) are artificial neural networks widely used in the data mining field, mainly because they constitute a dimensionality reduction technique given the fixed grid of neurons associated with the network. In order to properly the partition and visualize the SOM network, the various methods available in the literature must be applied in a post-processing stage, that consists of inferring, through its neurons, relevant characteristics of the data set. In general, such processing applied to the network neurons, instead of the entire database, reduces the computational costs due to vector quantization. This work proposes a post-processing of the SOM neurons in the input and output spaces, combining visualization techniques with algorithms based on gravitational forces and the search for the shortest path with the greatest reward. Such methods take into account the connection strength between neighbouring neurons and characteristics of pattern density and distances among neurons, both associated with the position that the neurons occupy in the data space after training the network. Thus, the goal consists of defining more clearly the arrangement of the clusters present in the data. Experiments were carried out so as to evaluate the proposed methods using various artificially generated data sets, as well as real world data sets. The results obtained were compared with those from a number of well-known methods existent in the literature
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Bayesian networks are powerful tools as they represent probability distributions as graphs. They work with uncertainties of real systems. Since last decade there is a special interest in learning network structures from data. However learning the best network structure is a NP-Hard problem, so many heuristics algorithms to generate network structures from data were created. Many of these algorithms use score metrics to generate the network model. This thesis compare three of most used score metrics. The K-2 algorithm and two pattern benchmarks, ASIA and ALARM, were used to carry out the comparison. Results show that score metrics with hyperparameters that strength the tendency to select simpler network structures are better than score metrics with weaker tendency to select simpler network structures for both metrics (Heckerman-Geiger and modified MDL). Heckerman-Geiger Bayesian score metric works better than MDL with large datasets and MDL works better than Heckerman-Geiger with small datasets. The modified MDL gives similar results to Heckerman-Geiger for large datasets and close results to MDL for small datasets with stronger tendency to select simpler network structures
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This thesis proposes an architecture of a new multiagent system framework for hybridization of metaheuristics inspired on the general Particle Swarm Optimization framework (PSO). The main contribution is to propose an effective approach to solve hard combinatory optimization problems. The choice of PSO as inspiration was given because it is inherently multiagent, allowing explore the features of multiagent systems, such as learning and cooperation techniques. In the proposed architecture, particles are autonomous agents with memory and methods for learning and making decisions, using search strategies to move in the solution space. The concepts of position and velocity originally defined in PSO are redefined for this approach. The proposed architecture was applied to the Traveling Salesman Problem and to the Quadratic Assignment Problem, and computational experiments were performed for testing its effectiveness. The experimental results were promising, with satisfactory performance, whereas the potential of the proposed architecture has not been fully explored. For further researches, the proposed approach will be also applied to multiobjective combinatorial optimization problems, which are closer to real-world problems. In the context of applied research, we intend to work with both students at the undergraduate level and a technical level in the implementation of the proposed architecture in real-world problems
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This thesis aims to show teachers and students in teaching and learning in a study of Probability High School, a subject that sharpens the perception and understanding of the phenomea of the random nature that surrounds us. The same aims do with people who are involved in this process understand basic ideas of probability and, when necessary, apply them in the real world. We seek to draw a matched between intuition and rigor and hope therebyto contribute to the work of the teacher in the classroom and the learning process of students, consolidating, deepening and expaning what they have learned in previous contents
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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)