9 resultados para Porto dos Gauchos seismic zone

em SAPIENTIA - Universidade do Algarve - Portugal


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Dissertação de Mestrado, Gestão da Água e da Costa, Faculdade de Ciências e Tecnologia, Universidade do Algarve, 2009

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Dissertação de Mestrado, Gestão da Água e da Costa, Faculdade de Ciências e Tecnologia, Universidade do Algarve, 2010

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Dissertação de mest., Engenharia do Ambiente, Faculdade de Ciências do Mar e do Ambiente, Universidade do Algarve, 2008

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This special issue of Estuarine, Coastal and Shelf Science synthesizes and updates the developments in science related to Land Ocean Interactions in the Coastal Zone (LOICZ). Frequent updates about the dynamic coastal zone are useful and necessary as global change accelerates. There is an urgent need to improve the knowledge and understanding of the vulnerability of society and ecosystems to global change hazards in the coastal zone (Vermaat et al., 2005). The collection of papers in this special issue places new developments, findings, techniques and insights within the context of LOICZ science. For the convenience of the reader, the references to papers included in this special issue are printed in italic, whereas other references to LOICZ science are in normal print.

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This experimental study focuses on a detection system at the seismic station level that should have a similar role to the detection algorithms based on the ratio STA/LTA. We tested two types of neural network: Multi-Layer Perceptrons and Support Vector Machines, trained in supervised mode. The universe of data consisted of 2903 patterns extracted from records of the PVAQ station, of the seismography network of the Institute of Meteorology of Portugal. The spectral characteristics of the records and its variation in time were reflected in the input patterns, consisting in a set of values of power spectral density in selected frequencies, extracted from a spectro gram calculated over a segment of record of pre-determined duration. The universe of data was divided, with about 60% for the training and the remainder reserved for testing and validation. To ensure that all patterns in the universe of data were within the range of variation of the training set, we used an algorithm to separate the universe of data by hyper-convex polyhedrons, determining in this manner a set of patterns that have a mandatory part of the training set. Additionally, an active learning strategy was conducted, by iteratively incorporating poorly classified cases in the training set. The best results, in terms of sensitivity and selectivity in the whole data ranged between 98% and 100%. These results compare very favorably with the ones obtained by the existing detection system, 50%.

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Ao desenvolver este trabalho sobre o Porto Santo, pretendeu-se dar um modesto contributo para o conhecimento e desenvolvimento turístico da Ilha. O Porto Santo, situa-se a nordeste da ilha da Madeira, é uma Ilha muito árida, caracteriza-se pela tranquilidade, pela sua extensa praia de areia, pelas águas temperadas e muito limpas, o que torna esta Ilha, um autêntico paraíso às portas da Europa. O Porto Santo possui características para ser um autêntico destino de sonho. Sendo um destino marcado pela sazonalidade turística da procura, é muito procurado nos meses de Verão, especialmente em Julho e Agosto, pelo turista nacional. Por outro lado, o desenvolvimento e melhoramento do transporte marítimo, assente no crescimento do número de passageiros transportados, com destaque para os meses de Verão, é sinal revelador do interesse crescente pela Ilha, sustentado de igual modo, pelo crescimento do número de hóspedes e de dormidas, registadas nas unidades de alojamento. Os stakeholders, em especial o Governo Regional da Madeira, têm envidado esforços para o desenvolvimento deste destino, visível nas infra-estruturas recentemente inauguradas, visando o melhoramento qualitativo do produto turístico, tornando este destino atractivo todo o ano, numa estratégia de atenuação da sazonalidade, desenvolvendo novos produtos turísticos, numa estratégia de diversificação do produto. Assim, a aposta em outros tipos de turismo, como o turismo natureza, eco-turismo e o turismo de saúde, pode ser revelador da diversificação e alternativas para o desenvolvimento e crescimento do turismo em Porto Santo.

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Throughout the year and half of research developed during the times of crisis or economic crisis in Portugal due to the austerity measures, this thesis focuses on the cultural communication and museology in the area of cultural management in Portugal. With an ever growing number of research being developed over the world, this study is unique as it studies managerial diversity and organisational structures of Contemporary Art Museums that exist in Portugal but more importantly how they communicate their organizations within and beyond the Museum walls such as online or other technological media. As the communication management of the museums is one of aspects of culture in which cultural management intends to intervene. The research study that I proposed to analyse has at the forefront the intention to understand how the Contemporary Art Museums in Portugal manage their communication and respective organizations, whether they be a Public-Private/Foundation, State or Council run organizations but also understand if a strategic plan is designed and implemented in times of crisis, to withstand disruptive economic scenarios projected on a daily basis. The following Museums were selected due to the fact of being Contemporary Art Museums but also their respective diverse territorial distribution, one in the city capital of Portugal, Lisbon: MNAC – Museu Nacional de Arte Contemporânea, a stately run organisation; the second, in the north of Portugal: MACS – Museu de Arte Contemporânea de Serralves, a public/private organisation under the Foundation organics and the third Museum in interior central region of Portugal, Alentejo: MACE – Museu de Arte Contemporânea de Elvas, managed by the Elvas City Council.

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This study describes the on-line operation of a seismic detection system to act at the level of a seismic station providing similar role to that of a STA /LTA ratio-based detection algorithms. The intelligent detector is a Support Vector Machine (SVM), trained with data consisting of 2903 patterns extracted from records of the PVAQ station, one of the seismographic network's stations of the Institute of Meteorology of Portugal (IM). Records' spectral variations in time and characteristics were reflected in the SVM input patterns, as a set of values of power spectral density at selected frequencies. To ensure that all patterns of the sample data were within the range of variation of the training set, we used an algorithm to separate the universe of data by hyper-convex polyhedrons, determining in this manner a set of patterns that have a mandatory part of the training set. Additionally, an active learning strategy was conducted, by iteratively incorporating poorly classified cases in the training set. After having been trained, the proposed system was experimented in continuous operation for unseen (out of sample) data, and the SVM detector obtained 97.7% and 98.7% of sensitivity and selectivity, respectively. The same type of ANN presented 88.4 % and 99.4% of sensitivity and selectivity when applied to data of a different seismic station of IM. © 2013 Springer-Verlag Berlin Heidelberg.

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Dissertação de mestrado, Arqueologia, Faculdade de Ciências Humanas e Sociais, Universidade do Algarve, 2015