957 resultados para mutual inductance
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International Congress Marketing Trends Annual Conference in Paris, 17 – 19 January 2013
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Dissertação de Mestrado em Contabilidade e Finanças Orientador: Mestre António Pinto Marques
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OBJECTIVE: In 1994 a pilot intergenerational project was started in the city of Taguatinga, Brazil, to promote the well-being of both elderly and adolescent populations using reminiscence processes as a means of interaction. The purpose of the study is to evaluate the project from the participants' viewpoint and to improve the contribution of those age groups in building up social capital. METHODS: From November 1999 to April 2000 a qualitative study using focus groups technique was conducted. Using a discussion guide, 9 groups of students, ranging in age from 13 to 19 years old, and 3 groups of elderly aged 60 years and over were interviewed to collect data regarding their interaction before and after an intergenerational program. RESULTS: The main findings suggested a change in attitude of young people toward old age and elderly people. Participating elderly people reported improvement in their health status. For both age groups the findings suggested a better understanding between generations. CONCLUSIONS: It seems that reminiscence intergenerational activity contributes to building up mutual trust and reciprocity. These results seem to indicate this is an alternative for investing in social capital and improving participants' well-being. However, further work is needed to support these findings.
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Dissertação apresentada ao Instituto Superior de Contabilidade para a obtenção do Grau de Mestre em Auditoria Orientada por Dr.ª Alcina Portugal Dias
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This paper studies musical opus from the point of view of three mathematical tools: entropy, pseudo phase plane (PPP), and multidimensional scaling (MDS). The experiments analyze ten sets of different musical styles. First, for each musical composition, the PPP is produced using the time series lags captured by the average mutual information. Second, to unravel hidden relationships between the musical styles the MDS technique is used. The MDS is calculated based on two alternative metrics obtained from the PPP, namely, the average mutual information and the fractal dimension. The results reveal significant differences in the musical styles, demonstrating the feasibility of the proposed strategy and motivating further developments towards a dynamical analysis of musical sounds.
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Jornadas "Ciência nos Açores – que futuro? Tema Ciências Naturais e Ambiente", Ponta Delgada, 7-8 de Junho de 2013.
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Dissertação apresentada à Escola Superior de Educação de Lisboa para obtenção de grau de mestre em Ciências da Educação, especialidade de Supervisão em Educação
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Mestrado em Contabilidade
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Mestrado em Contabilidade e Gestão de Instituições Financeiras
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Dissertação de Mestrado, Património, Museologia e Desenvolvimento, 2 de Outubro de 2015, Universidade dos Açores.
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Independent component analysis (ICA) has recently been proposed as a tool to unmix hyperspectral data. ICA is founded on two assumptions: 1) the observed spectrum vector is a linear mixture of the constituent spectra (endmember spectra) weighted by the correspondent abundance fractions (sources); 2)sources are statistically independent. Independent factor analysis (IFA) extends ICA to linear mixtures of independent sources immersed in noise. Concerning hyperspectral data, the first assumption is valid whenever the multiple scattering among the distinct constituent substances (endmembers) is negligible, and the surface is partitioned according to the fractional abundances. The second assumption, however, is violated, since the sum of abundance fractions associated to each pixel is constant due to physical constraints in the data acquisition process. Thus, sources cannot be statistically independent, this compromising the performance of ICA/IFA algorithms in hyperspectral unmixing. This paper studies the impact of hyperspectral source statistical dependence on ICA and IFA performances. We conclude that the accuracy of these methods tends to improve with the increase of the signature variability, of the number of endmembers, and of the signal-to-noise ratio. In any case, there are always endmembers incorrectly unmixed. We arrive to this conclusion by minimizing the mutual information of simulated and real hyperspectral mixtures. The computation of mutual information is based on fitting mixtures of Gaussians to the observed data. A method to sort ICA and IFA estimates in terms of the likelihood of being correctly unmixed is proposed.
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Chapter in Book Proceedings with Peer Review First Iberian Conference, IbPRIA 2003, Puerto de Andratx, Mallorca, Spain, JUne 4-6, 2003. Proceedings
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Atualmente e devido às conjunturas sócio económicas que as empresas atravessam, é importante maximizar tanto os recursos materiais como humanos. Essa consciência faz com que cada vez mais as empresas tentem que os seus colaboradores possam desempenhar um papel importante no processo de decisão. Cada vez mais a diferença entre o sucesso e o fracasso depende da estratégia que cada empresa opte por envergar. Sendo assim cada atividade desempenhada por um seu colaborador deve estar alinhada com os objetivos estratégicos da empresa. O contexto em que a presente tese se insere tem por base uma pesquisa aos vários métodos multicritério existentes, de forma a que o serviço que seja adjudicado possa ser executado de forma transparente e eficiente, sem nunca descorar a sua otimização. O método de apoio à decisão escolhido foi o Analytic Hierarchy Process (AHP). A necessidade de devolver aos decisores/gestores a melhor solução resultante da aplicação de um método de apoio à decisão numa empresa de serviços energéticos foi a base para a escolha da tese. Dos resultados obtidos conclui-se que a aplicação do método AHP foi adequada, conseguindo responder a todos os objetivos inicialmente propostos. Foi também possível verificar os benefícios que advêm da sua aplicação, que por si só, ajudaram a perceber que é necessário haver uma maior entreajuda e consenso entre as decisões a tomar.
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Ian McEwan‘s novel Saturday deals with the complex issues of conflict and transformation in the age of terrorism. The plot presents one internal dilemma and several interpersonal altercations that occur within a mere twenty-four hours: a) Perowne (the protagonist) vs. himself, in face of his ambivalent thoughts regarding British military participation in the war in the Middle East; b) The protagonist vs. Baxter, a ruffian from East End, in the context of a car accident; c) Perowne vs. a fellow anaesthetist, Jay Strauss, during a squash game; d) Perowne‘s daughter, Daisy vs. her grandfather, John Grammaticus, both poets and rivals; e) Perowne‘s family vs. Baxter, who intrudes the protagonist‘s house. In this paper, I exemplify, analyse and discuss how: a) Understanding the causes of what we call evil constitutes an important step towards mutual understanding; b) Both science and arts (which Perowne considers, at first, irrelevant) are important elements in the process of transformation; c) Both personal and interpersonal conflicts are intrinsic to human nature — but they also propitiate healthy changes in behaviour and opinion, through reflection. In order to do so, I resort to Saturday, and to the work of several specialists in the field of conflict management.
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Relatório Final de Estágio apresentado à Escola Superior de Dança, com vista à obtenção do grau de Mestre em Ensino de Dança.