Renewable power forecast to scheduling of thermal units

In this work is discussed the importance of the renewable production forecast in an island environment. A probabilistic forecast based on kernel density estimators is proposed. The aggregation of these forecasts, allows the determination of thermal generation amount needed to schedule and operating a power grid of an island with high penetration of renewable generation. A case study based on electric system of S. Miguel Island is presented. The results show that the forecast techniques are an imperative tool help the grid management.

Fatty liver automatic diagnosis from ultrasound images

In this paper an automatic classification algorithm is proposed for the diagnosis of the liver steatosis, also known as, fatty liver, from ultrasound images. The features, automatically extracted from the ultrasound images used by the classifier, are basically the ones used by the physicians in the diagnosis of the disease based on visual inspection of the ultrasound images. The main novelty of the method is the utilization of the speckle noise that corrupts the ultrasound images to compute textural features of the liver parenchyma relevant for the diagnosis. The algorithm uses the Bayesian framework to compute a noiseless image, containing anatomic and echogenic information of the liver and a second image containing only the speckle noise used to compute the textural features. The classification results, with the Bayes classifier using manually classified data as ground truth show that the automatic classifier reaches an accuracy of 95% and a 100% of sensitivity.

2D PCA-Based localization for mobile robots in unstructured environments

In this paper a new PCA-based positioning sensor and localization system for mobile robots to operate in unstructured environments (e. g. industry, services, domestic ...) is proposed and experimentally validated. The inexpensive positioning system resorts to principal component analysis (PCA) of images acquired by a video camera installed onboard, looking upwards to the ceiling. This solution has the advantage of avoiding the need of selecting and extracting features. The principal components of the acquired images are compared with previously registered images, stored in a reduced onboard image database, and the position measured is fused with odometry data. The optimal estimates of position and slippage are provided by Kalman filters, with global stable error dynamics. The experimental validation reported in this work focuses on the results of a set of experiments carried out in a real environment, where the robot travels along a lawn-mower trajectory. A small position error estimate with bounded co-variance was always observed, for arbitrarily long experiments, and slippage was estimated accurately in real time.

Self-scheduling and bidding strategies of thermal units with stochastic emission constraints

This paper is on the self-scheduling problem for a thermal power producer taking part in a pool-based electricity market as a price-taker, having bilateral contracts and emission-constrained. An approach based on stochastic mixed-integer linear programming approach is proposed for solving the self-scheduling problem. Uncertainty regarding electricity price is considered through a set of scenarios computed by simulation and scenario-reduction. Thermal units are modelled by variable costs, start-up costs and technical operating constraints, such as: forbidden operating zones, ramp up/down limits and minimum up/down time limits. A requirement on emission allowances to mitigate carbon footprint is modelled by a stochastic constraint. Supply functions for different emission allowance levels are accessed in order to establish the optimal bidding strategy. A case study is presented to illustrate the usefulness and the proficiency of the proposed approach in supporting biding strategies. (C) 2014 Elsevier Ltd. All rights reserved.

Partitura de luz: a representação criativa como perspectiva educacional

Este projecto de investigação teve como objectivo avaliar - através de uma série de workshops orientados pela mestranda no Centro Cultural de Belém em Abril de 2012 - o impacto da utilização de notação musical não-convencional num contexto não escolar. Traçando possíveis paralelos com o ensino especializado da música, propuseram-se metodologias de aprendizagem que permitissem a introdução da notação, de forma inovadora, no referido contexto escolar. O processo de investigação baseou-se em observação directa, na análise dos questionários preenchidos pelos participantes dos workshops e na observação e análise das gravações em vídeo que documentaram o processo artístico, pedagógico e de investigação. Numa sala escura, 6 retroprojectores projectaram uma Partitura de Luz. Entre crianças e adultos, 120 participantes (não-músicos) criaram empiricamente as suas composições, moldando o som em função da forma e a forma em função do som. O resultado foi compensador: a criação de condições favoráveis ao desenvolvimento máximo da expressão criativa individual ou colectiva dos participantes - através da utilização irrestrita de símbolos, imagens, objectos e matérias - culminou num efectivo estabelecimento de correspondência musical, a partir de recursos vocais. Este projecto, “Partitura de Luz”, foi uma oportunidade de relacionar a vertente artística – musical, plástica e gráfica - com a vertente humana: pedagógica e social.