807 resultados para visualização


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Neste vídeo, a voz off já está presente durante o letreiro de título. Em seguida é apresentada uma nova tela contendo o título e o autor da obra que será utilizada como exemplo para o exercício em questão, como é comum de se ver em partituras impressas. Vê-se também parte da partitura que será estudada. Em seguida é apresentada uma nova tela, contendo o primeiro compasso da partitura, que apresenta dois pentagramas: uma com clave de sol e outra com clave de fá. A voz off explica a teoria e os conceitos abordados, utilizando o ponteiro do mouse realçado sobre a partitura, como forma de ilustrar o que está sendo falado. A proposta do vídeo é que o aluno perceba a relação de movimento entre as vozes, um conceito que envolve analisar a relação entre uma nota e a nota seguinte na partitura. Uma vez explicada a relação de movimento entre aquelas notas específicas, o produtor do vídeo apaga as setas criadas, e quando passa a analisar a relação de movimento entre duas novas notas, cria novas setas, que também serão apagadas após encerrada a explicação pontual. A voz off faz algumas considerações importantes para a melhor compreensão dos conceitos abordados no vídeo. São apresentados alguns casos especiais que poderiam resultar em dúvida, explicando melhor como identificar os movimentos nesses casos.O vídeo está dividido em duas partes, das quais esta é a primeira.

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Os modelos são tradicionalmente utilizados na engenharia de software para documentar aspetos do desenho e, em alguns casos, como base para a geração de parte ou a totalidade dos sistemas informáticos que descrevem. Embora subsista o debate sobre este tipo de abordagens e sobre o papel e qualidades que os modelos devem possuir nesta área de engenharia, a existência de modelos que estejam em conformidade com linguagens de modelação bem definidas permite outro tipo de utilizações que vão além das anteriormente referidas. Assente no conhecimento existente sobre a visualização de dados, nesta dissertação irá ser demonstrado a utilização de técnicas de visualização que permitem extrair informação sobre os modelos numa perspetiva inovadora e que contribui favoravelmente para uma melhor compreensão, análise e validação dos mesmos.

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Due to the current need of the industry to integrate data of the beginning of production originating from of several sources and of transforming them in useful information for sockets of decisions, a search exists every time larger for systems of visualization of information that come to collaborate with that functionality. On the other hand, a common practice nowadays, due to the high competitiveness of the market, it is the development of industrial systems that possess characteristics of modularity, distribution, flexibility, scalability, adaptation, interoperability, reusability and access through web. Those characteristics provide an extra agility and a larger easiness in adapting to the frequent changes of demand of the market. Based on the arguments exposed above, this work consists of specifying a component-based architecture, with the respective development of a system based on that architecture, for the visualization of industrial data. The system was conceived to be capable to supply on-line information and, optionally, historical information of variables originating from of the beginning of production. In this work it is shown that the component-based architecture developed possesses the necessary requirements for the obtaining of a system robust, reliable and of easy maintenance, being, like this, in agreement with the industrial needs. The use of that architecture allows although components can be added, removed or updated in time of execution, through a manager of components through web, still activating more the adaptation process and updating of the system

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Este trabalho apresenta um levantamento dos problemas associados à influência da observabilidade e da visualização radial no projeto de sistemas de monitoramento para redes de grande magnitude e complexidade. Além disso, se propõe a apresentar soluções para parte desses problemas. Através da utilização da Teoria de Redes Complexas, são abordadas duas questões: (i) a localização e a quantidade de nós necessários para garantir uma aquisição de dados capaz de representar o estado da rede de forma efetiva e (ii) a elaboração de um modelo de visualização das informações da rede capaz de ampliar a capacidade de inferência e de entendimento de suas propriedades. A tese estabelece limites teóricos a estas questões e apresenta um estudo sobre a complexidade do monitoramento eficaz, eficiente e escalável de redes

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We revisit the problem of visibility, which is to determine a set of primitives potentially visible in a set of geometry data represented by a data structure, such as a mesh of polygons or triangles, we propose a solution for speeding up the three-dimensional visualization processing in applications. We introduce a lean structure , in the sense of data abstraction and reduction, which can be used for online and interactive applications. The visibility problem is especially important in 3D visualization of scenes represented by large volumes of data, when it is not worthwhile keeping all polygons of the scene in memory. This implies a greater time spent in the rendering, or is even impossible to keep them all in huge volumes of data. In these cases, given a position and a direction of view, the main objective is to determine and load a minimum ammount of primitives (polygons) in the scene, to accelerate the rendering step. For this purpose, our algorithm performs cutting primitives (culling) using a hybrid paradigm based on three known techniques. The scene is divided into a cell grid, for each cell we associate the primitives that belong to them, and finally determined the set of primitives potentially visible. The novelty is the use of triangulation Ja 1 to create the subdivision grid. We chose this structure because of its relevant characteristics of adaptivity and algebrism (ease of calculations). The results show a substantial improvement over traditional methods when applied separately. The method introduced in this work can be used in devices with low or no dedicated processing power CPU, and also can be used to view data via the Internet, such as virtual museums applications

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The last years have presented an increase in the acceptance and adoption of the parallel processing, as much for scientific computation of high performance as for applications of general intention. This acceptance has been favored mainly for the development of environments with massive parallel processing (MPP - Massively Parallel Processing) and of the distributed computation. A common point between distributed systems and MPPs architectures is the notion of message exchange, that allows the communication between processes. An environment of message exchange consists basically of a communication library that, acting as an extension of the programming languages that allow to the elaboration of applications parallel, such as C, C++ and Fortran. In the development of applications parallel, a basic aspect is on to the analysis of performance of the same ones. Several can be the metric ones used in this analysis: time of execution, efficiency in the use of the processing elements, scalability of the application with respect to the increase in the number of processors or to the increase of the instance of the treat problem. The establishment of models or mechanisms that allow this analysis can be a task sufficiently complicated considering parameters and involved degrees of freedom in the implementation of the parallel application. An joined alternative has been the use of collection tools and visualization of performance data, that allow the user to identify to points of strangulation and sources of inefficiency in an application. For an efficient visualization one becomes necessary to identify and to collect given relative to the execution of the application, stage this called instrumentation. In this work it is presented, initially, a study of the main techniques used in the collection of the performance data, and after that a detailed analysis of the main available tools is made that can be used in architectures parallel of the type to cluster Beowulf with Linux on X86 platform being used libraries of communication based in applications MPI - Message Passing Interface, such as LAM and MPICH. This analysis is validated on applications parallel bars that deal with the problems of the training of neural nets of the type perceptrons using retro-propagation. The gotten conclusions show to the potentiality and easinesses of the analyzed tools.

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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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Neste trabalho aplicamos um método óptico sensível e de baixo custo denominado Schlieren para visualização e caracterização de feixes ultra-sônicos em solução aquosa. Esta caracterização assume papel importante na Medicina para diagnóstico não invasivo via método ultra-sônico.

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As dificuldades de aprendizagem de Desenho Técnico que experimentam os estudantes de Engenharia relacionam-se com seu nível de aptidão. Para melhorar o processo didático, seria necessário detectar de imediato os estudantes que requerem mais apoio. Este estudo descreve a utilidade de um teste de Visualização Espacial e um teste de Raciocínio Indutivo para prever o rendimento dos estudantes em Desenho Técnico. A amostra foi composta por 484 estudantes do primeiro ano do Curso de Engenharia de quatro centros brasileiros de Educação Superior. Os dados foram analisados com o modelo de Rasch. Os resultados sugerem que a aptidão de Visualização Espacial é o melhor previsor.

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The expansion of citizen participation in the public sphere depends directly of access information on the performance of elected representatives, especially with regard to their voting decisions during their terms. The Information Science can assist in this process, proposing and evaluating models of access to such information that may be obtained from data to be provided by the official websites from legislative, in levels federal, state and municipal. It is proposed in this paper to analyze the process of collecting and using of data about votes of senators in order to promote the use of this model in other spheres. From analyzed data a affinity matrix was developed to identifying the relationship between each of the parliamentary with others, based on the similarities of the decisions taken in all the open votes. It was also analyzed the development of initial visualizations and the extension of the scope of the search through the application of data obtained in all the affinities between parliamentarians and to obtain an average affinity between parties, enabling new dimensions of analysis to the data collected. The preparation of the full matrix of relations of affinity among parliamentarians can provide a new horizon of possibilities for developing new forms of visualization and analysis, increasing the visibility of parliamentary actions with society.

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Pós-graduação em Ciências Cartográficas - FCT

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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

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Pós-graduação em Educação Matemática - IGCE