20 resultados para Clinch Park (Traverse City, Mich.)
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In the last few years, we have observed an exponential increasing of the information systems, and parking information is one more example of them. The needs of obtaining reliable and updated information of parking slots availability are very important in the goal of traffic reduction. Also parking slot prediction is a new topic that has already started to be applied. San Francisco in America and Santander in Spain are examples of such projects carried out to obtain this kind of information. The aim of this thesis is the study and evaluation of methodologies for parking slot prediction and the integration in a web application, where all kind of users will be able to know the current parking status and also future status according to parking model predictions. The source of the data is ancillary in this work but it needs to be understood anyway to understand the parking behaviour. Actually, there are many modelling techniques used for this purpose such as time series analysis, decision trees, neural networks and clustering. In this work, the author explains the best techniques at this work, analyzes the result and points out the advantages and disadvantages of each one. The model will learn the periodic and seasonal patterns of the parking status behaviour, and with this knowledge it can predict future status values given a date. The data used comes from the Smart Park Ontinyent and it is about parking occupancy status together with timestamps and it is stored in a database. After data acquisition, data analysis and pre-processing was needed for model implementations. The first test done was with the boosting ensemble classifier, employed over a set of decision trees, created with C5.0 algorithm from a set of training samples, to assign a prediction value to each object. In addition to the predictions, this work has got measurements error that indicates the reliability of the outcome predictions being correct. The second test was done using the function fitting seasonal exponential smoothing tbats model. Finally as the last test, it has been tried a model that is actually a combination of the previous two models, just to see the result of this combination. The results were quite good for all of them, having error averages of 6.2, 6.6 and 5.4 in vacancies predictions for the three models respectively. This means from a parking of 47 places a 10% average error in parking slot predictions. This result could be even better with longer data available. In order to make this kind of information visible and reachable from everyone having a device with internet connection, a web application was made for this purpose. Beside the data displaying, this application also offers different functions to improve the task of searching for parking. The new functions, apart from parking prediction, were: - Park distances from user location. It provides all the distances to user current location to the different parks in the city. - Geocoding. The service for matching a literal description or an address to a concrete location. - Geolocation. The service for positioning the user. - Parking list panel. This is not a service neither a function, is just a better visualization and better handling of the information.
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Dissertation submitted in partial fulfilment of the requirements for the Degree of Master of Science in Geospatial Technologies
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Dissertation submitted in partial fulfilment of the requirements for the Degree of Master of Science in Geospatial Technologies
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Dissertation submitted in partial fulfilment of the requirements for the Degree of Master of Science in Geospatial Technologies
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Dissertação apresentada para cumprimento dos requisitos necessários à obtenção do grau de Mestre em Ciências Musiciais. Variante de Etnomusicologia
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Dissertação de mestrado em Gestão do Território na especialidade de Deteção Remota e Sistemas de Informação Geográfica
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Dissertation submitted in partial fulfillment of the requirements for the Degree of Master of Science in Geospatial Technologies.
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Dissertation submitted in partial fulfillment of the requirements for the Degree of Master of Science in Geospatial Technologies.
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Dissertation submitted in partial fulfillment of the requirements for the Degree of Master of Science in Geospatial Technologies.
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Dissertation submitted in partial fulfillment of the requirements for the Degree of Master of Science in Geospatial Technologies.
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Dissertation submitted in partial fulfillment of the requirements for the Degree of Master of Science in Geospatial Technologies.
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RESUMO: A saúde pública deve estar atenta aos contextos e às mudanças sociais, políticas, económicas, científicas e tecnológicas com que se confrontam constantemente as comunidades, particularmente em situações de grandes transformações como o momento que a União Europeia atravessa. A urbanização é provavelmente a mudança demográfica mais importante das últimas décadas. Tendo importantes repercussões sobre a saúde mental, é importante desenvolver a investigação neste domínio, de forma multidisciplinar e integrando a compreensão dos diferentes determinantes sociais, psicológicos e físicos. As políticas de saúde mental tornaram-se uma parte importante da política social e da sociedade de bem-estar, em particular se considerarmos a urbanização das nossas comunidades. Considerar a saúde mental em espaço urbano é fundamentalmente estudar como um espaço particular pode influenciar a saúde. Baseado nesta reflexão, desenvolveu-se uma investigação participada de base comunitária, com recurso a uma metodologia de estudo de caso. Recorreu-se a dezenas de documentos de referência local, registos em arquivo, à observação direta, à observação participante e à observação in loco do espaço urbano. Foi utilizada uma amostragem em bola de neve, estratificada, para selecionar 697 habitantes de uma cidade da área metropolitana de Lisboa. Estes habitantes foram entrevistados por 42 entrevistadores, previamente formados, assim como foram enviados questionários online dirigidos aos professores (196) e aos Técnicos Superiores de Serviço Social (12) em exercício no espaço urbano em estudo, para a caraterização sociodemográfica e para avaliação de indicadores de saúde, de indicadores relacionados com a saúde e de indicadores estruturais de saúde mental. Os resultados mostraram um espaço urbano promotor de saúde estrutura-se para capacitar os seus cidadãos a se integrarem ativamente no funcionamento da sua comunidade. Foram identificadas algumas caraterísticas como 1) o início do processo de promoção da saúde mental ser o mais precoce possível; 2) a participação comunitária ativa, num sentimento de segurança individual e comunitária, envolvendo estruturas governamentais e não-governamentais; 3) a solidariedade e a inclusão, promovendo o voluntariado e a promoção do suporte social e desenvolvendo a coesão social; 4) o reconhecimento das necessidades expressas pelos habitantes; 5) a identificação de respostas para a conciliação entre vida pessoal, familiar e profissional; 6) as estruturas de acompanhamento dos grupos sociais mais desfavorecidos; 7) as estratégias de combate ao isolamento envolvendo a população sénior e outros grupos minoritários ativamente no processo de reorganização do seu funcionamento social; 8) uma efetiva governança e gestão relacional por parte dos poderes locais, centrando a vida quotidiana da comunidade nas pessoas. A investigação participada de base comunitária constitui um instrumento útil e eficaz no desenho de planos locais de promoção da saúde mental para encontrar respostas ao desafio em saúde pública: a saúde mental e a urbanização.
Semantic web approach for dealing with administrative boundary revisions: a case study of Dhaka City
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Dissertation submitted in partial fulfillment of the requirements for the Degree of Master of Science in Geospatial Technologies.
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A Work Project, presented as part of the requirements for the Award of a Masters Degree in Management from the NOVA – School of Business and Economics
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One of the major factors threatening chimpanzees (Pan troglodytes verus) in Guinea-Bissau is habitat fragmentation. Such fragmentation may cause changes in symbiont dynamics resulting in increased susceptibility to infection, changes in host specificity and virulence. We monitored gastrointestinal symbiotic fauna of three chimpanzee subpopulations living within Cantanhez National Park (CNP) in Guinea Bissau in the areas with different levels of anthropogenic fragmentation. Using standard coproscopical methods (merthiolate-iodine formalin concentration and Sheather's flotation) we examined 102 fecal samples and identified at least 13 different symbiotic genera (Troglodytella abrassarti, Troglocorys cava, Blastocystis spp., Entamoeba spp., Iodamoeba butschlii, Giardia intestinalis, Chilomastix mesnili, Bertiella sp., Probstmayria gombensis, unidentified strongylids, Strongyloides stercoralis, Strongyloides fuelleborni, and Trichuris sp.). The symbiotic fauna of the CNP chimpanzees is comparable to that reported for other wild chimpanzee populations, although CNP chimpanzees have a higher prevalence of Trichuris sp. Symbiont richness was higher in chimpanzee subpopulations living in fragmented forests compared to the community inhabiting continuous forest area. We reported significantly higher prevalence of G. intestinalis in chimpanzees from fragmented areas, which could be attributed to increased contact with humans and livestock.