75 resultados para Edifícios de apartamentos

em Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho"


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A necessidade de se pensar o futuro, bem como a necessidade em atender uma demanda em questão, foram os pontos de partida deste trabalho, que aborda as questões teóricas e práticas do projeto de um Apart-hotel em São João da Boa Vista, utilizando técnicas de eficiência energética. Para alcançar o resultado final, foram abordadas questões como a utilização de cartas bioclimáticas, carta solar, entre outros fatores empregados para se entender e estudar as questões climáticas, bem como o estudo da cidade no que se refere à contextualização do projeto

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Projeto de um Flat Hotel na cidade de Presidente Prudente, para atender, principalmente, a demanda de empresários e estudantes que buscam um ambiente versátil e com autonomia maior que a de um hotel convencional, oferecendo espaços para a realização de suas atividades com o conforto de uma residência e a facilidade dos serviços de hotelaria. O desempenho no cumprimento das funções, somado a uma arquitetura de qualidade, nos sentidos práticos e plásticos, são os objetivos principais deste trabalho

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As the market expands, especially about construction, further treatments were required on the development of a building. This fact is noted due to the need to satisfy the client each time more, which requires more quality in the product final delivery. Therefore, the competition between companies grows every day to the effective and efficient production of their final products. This work shows negative factors that have influence in the product final delivery and consequently presents methods to improove the quality of this product. This study is characterized in management methods that are wrongly applied to the study of case of this work, which took place in the city of Guarulhos and was carried out during a work conducted by a large construction company

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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

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This paper proposes a monoscopic method for automatic determination of building's heights in digital photographs areas, based on radial displacement of points in the plan image and geometry at the time the photo is obtained. Determination of the buildings' heights can be used to model the surface in urban areas, urban planning and management, among others. The proposed methodology employs a set of steps to detect arranged radially from the system of photogrammetric coordinates, which characterizes the lateral edges of buildings present in the photo. In a first stage is performed the reduction of the searching area through detection of shadows projected by buildings, generating sub-images of the areas around each of the detected shadow. Then, for each sub-image, the edges are automatically extracted, and tests of consistency are applied for it in order to be characterized as segments of straight arranged radially. Next, with the lateral edges selected and the knowledge of the flight height, the buildings' heights can be calculated. The experimental results obtained with real images showed that the proposed approach is suitable to perform the automatic identification of the buildings height in digital images.

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This research presents a methodology for prediction of building shadows cast on urban roads existing on high-resolution aerial imagery. Shadow elements can be used in the modeling of contextual information, whose use has become more and more common in image analysis complex processes. The proposed methodology consists in three sequential steps. First, the building roof contours are manually extracted from an intensity image generated by the transformation of a digital elevation model (DEM) obtained from airborne laser scanning data. In similarly, the roadside contours are extracted, now from the radiometric information of the laser scanning data. Second, the roof contour polygons are projected onto the adjacent roads by using the parallel projection straight lines, whose directions are computed from the solar ephemeris, which depends on the aerial image acquisition time. Finally, parts of shadow polygons that are free from building perspective obstructions are determined, given rise to new shadow polygons. The results obtained in the experimental evaluation of the methodology showed that the method works properly, since it allowed the prediction of shadow in high-resolution imagery with high accuracy and reliability.

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In this paper, a methodology is proposed for the geometric refinement of laser scanning building roof contours using high-resolution aerial images and Markov Random Field (MRF) models. The proposed methodology takes for granted that the 3D description of each building roof reconstructed from the laser scanning data (i.e., a polyhedron) is topologically correct and that it is only necessary to improve its accuracy. Since roof ridges are accurately extracted from laser scanning data, our main objective is to use high-resolution aerial images to improve the accuracy of roof outlines. In order to meet this goal, the available roof contours are first projected onto the image-space. After that, the projected polygons and the straight lines extracted from the image are used to establish an MRF description, which is based on relations ( relative length, proximity, and orientation) between the two sets of straight lines. The energy function associated with the MRF is minimized by using a modified version of the brute force algorithm, resulting in the grouping of straight lines for each roof object. Finally, each grouping of straight lines is topologically reconstructed based on the topology of the corresponding laser scanning polygon projected onto the image-space. The preliminary results showed that the proposed methodology is promising, since most sides of the refined polygons are geometrically better than corresponding projected laser scanning straight lines.

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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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)