On differentiability and analyticity of positive definite functions

We derive a set of differential inequalities for positive definite functions based on previous results derived for positive definite kernels by purely algebraic methods. Our main results show that the global behavior of a smooth positive definite function is, to a large extent, determined solely by the sequence of even-order derivatives at the origin: if a single one of these vanishes then the function is constant; if they are all non-zero and satisfy a natural growth condition, the function is real-analytic and consequently extends holomorphically to a maximal horizontal strip of the complex plane.

Desenvolvimento do conceito de ângulo: um estudo no 5.ºano de escolaridade

A investigação em curso visa compreender a influência da implementação de um conjunto de tarefas no desenvolvimento do conceito de ângulo em alunos do 5.º ano de escolaridade, procurando responder às seguintes questões: a) Que conceções revelam alunos do 5.º ano de escolaridade relativamente ao conceito de ângulo?; b) Que estratégias utilizam os alunos do 5.º ano de escolaridade na exploração das tarefas utilizadas?; e c) Que aspetos do conceito de ângulo são desenvolvidos pelos alunos através da realização das tarefas propostas? A presente comunicação incide na primeira questão do estudo. Optou-se por uma abordagem metodológica qualitativa de paradigma interpretativo com a modalidade de experiência de ensino. Selecionou-se quatro alunos para constituir o grupo-alvo. Procedeu-se à avaliação diagnóstica das conceções de ângulo dos quatro alunos através da realização, no 1.º Período do ano letivo de 2011/12, de entrevistas clínicas semiestruturadas individuais, gravadas em vídeo. Além das entrevistas, foram usadas, como técnicas de recolha de dados, a observação participante das aulas, videogravadas, bem como a análise de documentos. Para analisar os dados, foram elaboradas categorias analíticas. Os resultados relativos à avaliação diagnóstica evidenciam conceções erradas de ângulo e respetiva amplitude: (a) os ângulos são os lados de polígonos (1 aluna); (b) o comprimento dos segmentos representativos dos lados está relacionado com o tamanho dos ângulos (2 alunos); (c) o comprimento do arco marcando o ângulo está relacionado com o tamanho dos ângulos (3 alunos); (d) nos polígonos côncavos, sãoângulos apenas os de amplitude inferior a 1800 (3 alunos); (e) em figuras que não são polígonos, os ângulos são os espaços entre os segmentos de reta e as linhas curvas (1 aluno); (f) o ângulo é a área entre dois segmentos representativos dos lados (4 alunos); e (g) os ângulos retos são apenas os posicionados na posição usual horizontal/vertical (1 aluna).

Dominant set approach to ECG biometrics

Electrocardiographic (ECG) signals are emerging as a recent trend in the field of biometrics. In this paper, we propose a novel ECG biometric system that combines clustering and classification methodologies. Our approach is based on dominant-set clustering, and provides a framework for outlier removal and template selection. It enhances the typical workflows, by making them better suited to new ECG acquisition paradigms that use fingers or hand palms, which lead to signals with lower signal to noise ratio, and more prone to noise artifacts. Preliminary results show the potential of the approach, helping to further validate the highly usable setups and ECG signals as a complementary biometric modality.

The daily and hourly energy consumption and load forecasting using artifitial neural network method: a case study using a set of 93 households in Portugal

It is important to understand and forecast a typical or a particularly household daily consumption in order to design and size suitable renewable energy systems and energy storage. In this research for Short Term Load Forecasting (STLF) it has been used Artificial Neural Networks (ANN) and, despite the consumption unpredictability, it has been shown the possibility to forecast the electricity consumption of a household with certainty. The ANNs are recognized to be a potential methodology for modeling hourly and daily energy consumption and load forecasting. Input variables such as apartment area, numbers of occupants, electrical appliance consumption and Boolean inputs as hourly meter system were considered. Furthermore, the investigation carried out aims to define an ANN architecture and a training algorithm in order to achieve a robust model to be used in forecasting energy consumption in a typical household. It was observed that a feed-forward ANN and the Levenberg-Marquardt algorithm provided a good performance. For this research it was used a database with consumption records, logged in 93 real households, in Lisbon, Portugal, between February 2000 and July 2001, including both weekdays and weekend. The results show that the ANN approach provides a reliable model for forecasting household electric energy consumption and load profile. © 2014 The Author.

Optimal brake specific fuel consumption trajectory for stand-alone variable speed Diesel Gen-Set

Energy efficiency plays an important role to the CO2 emissions reduction, combating climate change and improving the competitiveness of the economy. The problem presented here is related to the use of stand-alone diesel gen-sets and its high specific fuel consumptions when operates at low loads. The variable speed gen-set concept is explained as an energy-saving solution to improve this system efficiency. This paper details how an optimum fuel consumption trajectory based on experimentally Diesel engine power map is obtained.

Materials selection for a set of multiple parts considering manufacturing costs and weight reduction with structural isoperformance using direct multisearch optimization

Materials selection is a matter of great importance to engineering design and software tools are valuable to inform decisions in the early stages of product development. However, when a set of alternative materials is available for the different parts a product is made of, the question of what optimal material mix to choose for a group of parts is not trivial. The engineer/designer therefore goes about this in a part-by-part procedure. Optimizing each part per se can lead to a global sub-optimal solution from the product point of view. An optimization procedure to deal with products with multiple parts, each with discrete design variables, and able to determine the optimal solution assuming different objectives is therefore needed. To solve this multiobjective optimization problem, a new routine based on Direct MultiSearch (DMS) algorithm is created. Results from the Pareto front can help the designer to align his/hers materials selection for a complete set of materials with product attribute objectives, depending on the relative importance of each objective.