911 resultados para Ensemble résiduel


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Relatório da Prática de Ensino Supervisionada, Mestrado em Ensino de História e de Geografia no 3º Ciclo do Ensino Básico e Ensino Secundário, Universidade de Lisboa, 2011

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Relatório da prática de ensino supervisionada, Mestrado em Ensino de Artes Visuais, Universidade de Lisboa, 2014

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Tese de doutoramento, Ciências Geofísicas e da Geoinformação (Meteorologia), Universidade de Lisboa, Faculdade de Ciências, 2015

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Concert program for University Chorale, February 27, 1976

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Concert program for Jazz Concert, February 22, 1977

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Concert program for World Percussion Bash, May 28, 2013

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Concert program for The Winter Jazz Concert, December 8, 1976

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Concert Program for Annual Christmas Concert, December 14, 1933

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With the electricity market liberalization, the distribution and retail companies are looking for better market strategies based on adequate information upon the consumption patterns of its electricity consumers. A fair insight on the consumers’ behavior will permit the definition of specific contract aspects based on the different consumption patterns. In order to form the different consumers’ classes, and find a set of representative consumption patterns we use electricity consumption data from a utility client’s database and two approaches: Two-step clustering algorithm and the WEACS approach based on evidence accumulation (EAC) for combining partitions in a clustering ensemble. While EAC uses a voting mechanism to produce a co-association matrix based on the pairwise associations obtained from N partitions and where each partition has equal weight in the combination process, the WEACS approach uses subsampling and weights differently the partitions. As a complementary step to the WEACS approach, we combine the partitions obtained in the WEACS approach with the ALL clustering ensemble construction method and we use the Ward Link algorithm to obtain the final data partition. The characterization of the obtained consumers’ clusters was performed using the C5.0 classification algorithm. Experiment results showed that the WEACS approach leads to better results than many other clustering approaches.

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This paper deals with the establishment of a characterization methodology of electric power profiles of medium voltage (MV) consumers. The characterization is supported on the data base knowledge discovery process (KDD). Data Mining techniques are used with the purpose of obtaining typical load profiles of MV customers and specific knowledge of their customers’ consumption habits. In order to form the different customers’ classes and to find a set of representative consumption patterns, a hierarchical clustering algorithm and a clustering ensemble combination approach (WEACS) are used. Taking into account the typical consumption profile of the class to which the customers belong, new tariff options were defined and new energy coefficients prices were proposed. Finally, and with the results obtained, the consequences that these will have in the interaction between customer and electric power suppliers are analyzed.

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The performance of an amperometric biosensor constructed by associating tyrosinase (Tyr) enzyme with the advantages of a 3D gold nanoelectrode ensemble (GNEE) is evaluated in a flow-injection analysis (FIA) system for the analysis of l-dopa. GNEEs were fabricated by electroless deposition of the metal within the pores of polycarbonate track-etched membranes. A simple solvent etching procedure based on the solubility of polycarbonate membranes is adopted for the fabrication of the 3D GNEE. Afterward, enzyme was immobilized onto preformed self-assembled monolayers of cysteamine on the 3D GNEEs (GNEE-Tyr) via cross-linking with glutaraldehyde. The experimental conditions of the FIA system, such as the detection potential (−0.200 V vs. Ag/AgCl) and flow rates (1.0 mL min−1) were optimized. Analytical responses for l-dopa were obtained in a wide concentration range between 1 × 10−8 mol L−1 and 1 × 10−2 mol L−1. The limit of quantification was found to be 1 × 10−8 mol L−1 with a resultant % RSD of 7.23% (n = 5). The limit of detection was found to be 1 × 10−9 mol L−1 (S/N = 3). The common interfering compounds, namely glucose (10 mmol L−1), ascorbic acid (10 mmol L−1), and urea (10 mmol L−1), were studied. The recovery of l-dopa (1 × 10−7 mol L−1) from spiked urine samples was found to be 96%. Therefore, the developed method is adequate to be applied in the clinical analysis.

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The relentless discovery of cancer biomarkers demands improved methods for their detection. In this work, we developed protein imprinted polymer on three-dimensional gold nanoelectrode ensemble (GNEE) to detect epithelial ovarian cancer antigen-125 (CA 125), a protein biomarker associated with ovarian cancer. CA 125 is the standard tumor marker used to follow women during or after treatment for epithelial ovarian cancer. The template protein CA 125 was initially incorporated into the thin-film coating and, upon extraction of protein from the accessible surfaces on the thin film, imprints for CA 125 were formed. The fabrication and analysis of the CA 125 imprinted GNEE was done by using cyclic voltammetry (CV), differential pulse voltammetry (DPV) and electrochemical impedance spectroscopy (EIS) techniques. The surfaces of the very thin, protein imprinted sites on GNEE are utilized for immunospecific capture of CA 125 molecules, and the mass of bound on the electrode surface can be detected as a reduction in the faradic current from the redox marker. Under optimal conditions, the developed sensor showed good increments at the studied concentration range of 0.5–400 U mL−1. The lowest detection limit was found to be 0.5 U mL−1. Spiked human blood serum and unknown real serum samples were analyzed. The presence of non-specific proteins in the serum did not significantly affect the sensitivity of our assay. Molecular imprinting using synthetic polymers and nanomaterials provides an alternative approach to the trace detection of biomarker proteins.

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Dissertação para obtenção do grau de Mestre em Engenharia Informática

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Resumo I - O projecto “Piano e outros Instrumentos/orquestra” consiste na implementação do formato Piano e Orquestra em complemento às aulas individuais e aos ensaios de conjunto. O trabalho foi dirigido a um grupo de três alunos com idades de 9, 12 e 16 anos, do curso de Iniciação, Básico e Secundário da EMNSC (Escola de Música de Nossa Senhora do Cabo). Foram criados momentos distintos em cada fase. Estimulou-se o desenvolvimento de competências musicais e de estratégias metacognitivas visando a evolução dos alunos e a eficácia na realização do estudo individual. O Projecto foi criado com o objectivo de desenvolver as competências musicais, a motivação para realização do estudo individual e de grupo, o espírito e a audição crítica, o controlo dos factores psicológicos, a ansiedade, o aumento da autoconfiança, a aprendizagem, a melhoria da atitude positiva no momento da execução pública e o incremento do interesse pelas actividades relacionadas com a prática musical. A realização deste projecto visou analisar o grau de motivação, o desenvolvimento e a aquisição de competências musicais dos alunos de piano que frequentaram semanalmente aulas individuais, aulas extra de preparação, ensaios com Orquestra “Da Capo”, ensaios com a Orquestra Maior, duos com violoncelo e com canto. Um dos objectivos era comparar o grau de motivação e desenvolvimento dos alunos quando estudam obras nas aulas individuais que constituem o programa curricular e, por outro lado, quando o fazem em peças seleccionadas especificamente para este Projecto. Esta experiência visou proporcionar um conhecimento nos diversos domínios da música, uma visão diferente da funcionalidade do piano em conjunto com os outros instrumentos, a descoberta das sonoridades do piano contrastante e ao mesmo tempo, integrante com outros instrumentos, as formas de funcionamento dos instrumentos de corda, de sopro, dos assuntos relacionados com a afinação e pretendendo-se assim apurar o sentido de fazer parte integrante de um todo.

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Interactive products are appealing objects in a technology-driven society and the offer in the market is wide and varied. Most of the existing interactive products only provide either light or sound experiences. Therefore, the goal of this project was to develop a product aimed for children combining both features. This project was developed by a team of four thirdyear students with different engineering backgrounds and nationalities during the European Project Semester at ISEP (EPS@ISEP) in 2012. This paper presents the process that led to the development of an interactive sound table that combines nine identical interaction blocks, a control block and a sound block. Each interaction block works independently and is composed of four light emitting diodes (LED) and one infrared (IR) sensor. The control is performed by an Arduino microcontroller and the sound block includes a music shield and a pair of loud speakers. A number of tests were carried out to assess whether the controller, IR sensors, LED, music shield and speakers work together properly and if the ensemble was a viable interactive light and sound device for children.