2 resultados para Songs (High voice) with instrumental ensemble

em Universidade Federal de Uberlândia


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This work describes and analyzes the situation planned with the current, according to the housing development project style of social interest (Gleba 9), named Victory Brazil at Shopping Park II neighborhood, located in the southern sector of Uberlândia (MG), built with Program resources Minha Casa, Minha Vida (PMCMV). The specific objectives are: to present the housing policy of social interest directed to the Minha Casa, Minha Vida in the city of Uberlândia, from its history to its current information; trace the environmental characterization of the housing Vitoria Brazil through the development of thematic maps; identify the impacts generated by the housing projects of social interest; and show through interviews with 25 residents of Vitoria Brazil, the structural problems of the houses. Therefore, the research became quali-quantitative with descriptive approach and use of semi- structured interviews to collect data. In addition, the iconographic sources, ie photographs of the problems raised by the residents of the whole Victory Brazil and maps of the study area, enlarged the qualitative and dialogic nature of this study, as there is opportunity to contextualize specific way what was reported the residents interviewed. We understand that the city is intrinsically related to the design of agglomeration, characterized by the production of the possessor market capitalism a public administration system that is guided by the ideals of consumption and utilization of space, and its inhabitants are high class with the construction of equipment and adequate social services. One of the important biases to solving the problems of urbanization is by the intervention of the government through public policies through the master plan so that would allow prospects to enable the population of low-income housing in locations that offer housing and decent urbanization conditions.

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Due to the growing use of social networks people no longer just consume data, they also produce and share it. Geo-tagged information, i.e., data with geographical location, have been used in many attempts to identify popular places and help tourists that will visit unfamiliar cities. This Master Thesis presents an online strategy that uses geo-tagged photos and their metadata in order to identify places of interest inside a given geographical area and retrieve relevant related information. The whole process runs automatically in real time, returning updated information about places. The proposed strategy takes into account the inherent dynamism of social media, and thus is robust under inconsistencies and/or outdated information, a common issue in solutions that rely on previously stored data. The analysis of the results showed that our approach is very promising, returning places that present high agreement with those from a popular travel website.