Browsing by Issue Date, starting with "2008-08"
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- Estudo exploratório sobre a relação enfermeiro-bebé: factores relacionados com o bebé e com o profissional de enfermagemPublication . Soares, Hélia; Fuertes, MarinaA relação estabelecida com a criança/família é decisiva no sucesso da intervênção dos enfermeiros.
- Hyperspectral subspace identificationPublication . Bioucas-Dias, José M.; Nascimento, JoseSignal subspace identification is a crucial first step in many hyperspectral processing algorithms such as target detection, change detection, classification, and unmixing. The identification of this subspace enables a correct dimensionality reduction, yielding gains in algorithm performance and complexity and in data storage. This paper introduces a new minimum mean square error-based approach to infer the signal subspace in hyperspectral imagery. The method, which is termed hyperspectral signal identification by minimum error, is eigen decomposition based, unsupervised, and fully automatic (i.e., it does not depend on any tuning parameters). It first estimates the signal and noise correlation matrices and then selects the subset of eigenvalues that best represents the signal subspace in the least squared error sense. State-of-the-art performance of the proposed method is illustrated by using simulated and real hyperspectral images.
- Tradições musicais portuguesas : na poéticada educação e da arte?Publication . Rodrigues, Paulo FerreiraA poesia faz-nos falta. Na vida e na educação. Em memórias da cultura passada que se recorda e reconstroi...
- Comparison of control strategies performance for a Wave Energy ConverterPublication . Valério, Duarte; Beirão, Pedro; Mendes, Mário J. G. C.; Costa, José Sá daThe Archimedes Wave Swing (AWS) is a a fully submerged Wave Energy Converter (WEC), that is to say, a device that converts the kinetic energy of sea waves into electricity. A first prototype of the AWS has already been built and tested. This paper presents simulation results of the performance of several control strategies applied to this device, including PID control, reactive control, phase and amplitude control, latching control, feedback linearisation control, internal model control, switching control, and combinations thereof. Linear, white-box nonlinear, and neural network models were employed. Significant (above threefold) increases in yearly energy production were found to be possible with properly designed control strategies.