A motivação da aprendizagem de um instrumento musical em alunos do ensino básico articulado sob a perspectiva da teoria da auto-determinação no Conservatório Regional de Setúbal: relatório de estágio

O presente relatório, no âmbito da obtenção do grau de Mestre no Ensino da Música, na Escola Superior de Música de Lisboa, descreve o estágio efectuado no Conservatório Regional de Setúbal e analisa a prática pedagógica do professor através de três alunos de violino e viola d´arco de níveis diferentes: Iniciação (violino); 4º grau, Ensino Básico (viola d´arco) e 7º grau, Ensino Secundário (viola d´arco). São descritas e analisadas as práticas pedagógicas desenvolvidas com base na filosofia do Método Suzuki e na Teoria da Auto-­determinação de Edward L. Deci e Richard M. Ryan. O objectivo fundamental do processo de ensino-­ aprendizagem é a criação de condições para que os alunos se motivem autonomamente e atinjam níveis altos de motivação intrínseca (Teoria da Auto-­determinação), e que se tornem bons instrumentistas e melhores seres humanos (Método Suzuki).

Learning dependent sources using mixtures of Dirichlet: applications on hyperspectral unmixing

This paper is an elaboration of the DECA algorithm [1] to blindly unmix hyperspectral data. The underlying mixing model is linear, meaning that each pixel is a linear mixture of the endmembers signatures weighted by the correspondent abundance fractions. The proposed method, as DECA, is tailored to highly mixed mixtures in which the geometric based approaches fail to identify the simplex of minimum volume enclosing the observed spectral vectors. We resort then to a statitistical framework, where the abundance fractions are modeled as mixtures of Dirichlet densities, thus enforcing the constraints on abundance fractions imposed by the acquisition process, namely non-negativity and constant sum. With respect to DECA, we introduce two improvements: 1) the number of Dirichlet modes are inferred based on the minimum description length (MDL) principle; 2) The generalized expectation maximization (GEM) algorithm we adopt to infer the model parameters is improved by using alternating minimization and augmented Lagrangian methods to compute the mixing matrix. The effectiveness of the proposed algorithm is illustrated with simulated and read data.

: SiC Multilayer Photonic Structures with Self Optical Bias Amplification

Characteristics of tunable wavelength pi'n/pin filters based on a-SiC:H multilayered stacked cells are studied both experimental and theoretically. Results show that the device combines the demultiplexing operation with the simultaneous photodetection and self amplification of the signal. An algorithm to decode the multiplex signal is established. A capacitive active band-pass filter model is presented and supported by an electrical simulation of the state variable filter circuit. Experimental and simulated results show that the device acts as a state variable filter. It combines the properties of active high-pass and low-pass filter sections into a capacitive active band-pass filter using a changing photo capacitance to control the power delivered to the load.