Dynamical analysis of compositions

This paper analyzes musical opus from the point of view of two mathematical tools, namely the entropy and the multidimensional scaling (MDS). The Fourier analysis reveals a fractional dynamics, but the time rhythm variations are diluted along the spectrum. The combination of time-window entropy and MDS copes with the time characteristics and is well suited to treat a large volume of data. The experiments focus on a large number of compositions classified along three sets of musical styles, namely “Classical”, “Jazz”, and “Pop & Rock” compositions. Without lack of generality, the present study describes the application of the tools and the sets of musical compositions in a methodology leading to clear conclusions, but extensions to other possibilities are straightforward. The results reveal significant differences in the musical styles, demonstrating the feasibility of the proposed strategy and motivating further developments toward a dynamical analysis of musical compositions.

Three-dimensional modeling of tongue during speech using MRI data

The tongue is the most important and dynamic articulator for speech formation, because of its anatomic aspects (particularly, the large volume of this muscular organ comparatively to the surrounding organs of the vocal tract) and also due to the wide range of movements and flexibility that are involved. In speech communication research, a variety of techniques have been used for measuring the three-dimensional vocal tract shapes. More recently, magnetic resonance imaging (MRI) becomes common; mainly, because this technique allows the collection of a set of static and dynamic images that can represent the entire vocal tract along any orientation. Over the years, different anatomical organs of the vocal tract have been modelled; namely, 2D and 3D tongue models, using parametric or statistical modelling procedures. Our aims are to present and describe some 3D reconstructed models from MRI data, for one subject uttering sustained articulations of some typical Portuguese sounds. Thus, we present a 3D database of the tongue obtained by stack combinations with the subject articulating Portuguese vowels. This 3D knowledge of the speech organs could be very important; especially, for clinical purposes (for example, for the assessment of articulatory impairments followed by tongue surgery in speech rehabilitation), and also for a better understanding of acoustic theory in speech formation.

Shannon entropy analysis of the genome code

This paper studies the chromosome information of twenty five species, namely, mammals, fishes, birds, insects, nematodes, fungus, and one plant. A quantifying scheme inspired in the state space representation of dynamical systems is formulated. Based on this algorithm, the information of each chromosome is converted into a bidimensional distribution. The plots are then analyzed and characterized by means of Shannon entropy. The large volume of information is integrated by averaging the lengths and entropy quantities of each species. The results can be easily visualized revealing quantitative global genomic information.

Guia para a descconstrução de edifícios

Num passado relativamente recente, o processo de demolição tem experimentado várias mudanças, que incidem principalmente na forma como o edifício ou estrutura vai ser demolido. Mais recentemente, o surgimento das preocupações ambientais levam hoje a falar de "desconstrução", em função do prejuízo das demolições. O termo desconstrução é usado para descrever o processo de desmantelamento e remoção seletiva de materiais de construção em vez da demolição tradicional. O sucesso da desconstrução vem em função do planeamento antecipado, da aplicação contínua das regras de segurança e da formação e informação para todos os trabalhadores. A triagem de materiais de demolição é de certa forma imposta pela preocupação das empresas que contribuem para a economia de recursos naturais. Esta metodologia é uma melhoria contínua, porém muito mais diversificados os materiais obtidos e a sua heterogeneidade. A correta gestão do fluxo de resíduos de construção e demolição é importante e o seu interesse na reciclagem de resíduos tem aumentado constantemente. Esse interesse é dirigido pelo grande volume desses materiais, os custos associados e uma maior consciência das oportunidades de reciclar. Auxiliando também no desenvolvimento dos mercados locais para os resíduos, tanto para os materiais que são diretamente reutilizados, como os que são reciclados, sendo novamente aplicados na construção civil. Esta dissertação aborda os métodos comummente utilizados na demolição de edifícios que dão mais atenção ao planeamento e execução dos trabalhos de demolição, garantindo a segurança no local de trabalho.

Feature Extraction in Densely Sensed Environments: Extensions to Multiple Broadcast Domains

The vision of the Internet of Things (IoT) includes large and dense deployment of interconnected smart sensing and monitoring devices. This vast deployment necessitates collection and processing of large volume of measurement data. However, collecting all the measured data from individual devices on such a scale may be impractical and time consuming. Moreover, processing these measurements requires complex algorithms to extract useful information. Thus, it becomes imperative to devise distributed information processing mechanisms that identify application-specific features in a timely manner and with a low overhead. In this article, we present a feature extraction mechanism for dense networks that takes advantage of dominance-based medium access control (MAC) protocols to (i) efficiently obtain global extrema of the sensed quantities, (ii) extract local extrema, and (iii) detect the boundaries of events, by using simple transforms that nodes employ on their local data. We extend our results for a large dense network with multiple broadcast domains (MBD). We discuss and compare two approaches for addressing the challenges with MBD and we show through extensive evaluations that our proposed distributed MBD approach is fast and efficient at retrieving the most valuable measurements, independent of the number sensor nodes in the network.

Estudo da Resistência Mecânica do Betão com Agregado Cerâmico Vermelho

Os sectores da construção e demolição de edifícios são responsáveis por um elevado volume de produção de resíduos. Estes resíduos são normalmente direcionados para aterros, que se encontram, neste momento, sobrelotados. Esta falta de capacidade de receção de resíduos tem como consequência imediata o aumento dos valores monetários associados ao depósito destes materiais excedentários. Com a elevada produção destes resíduos torna-se importante a sua reciclagem e reutilização. No caso da Engenharia Civil, uma grande produtora de resíduos, seria ainda mais interessante o seu reaproveitamento imediato na área. Nesta investigação, pretendeu-se avaliar o desempenho mecânico de betões com diferentes percentagens de agregados cerâmicos vermelhos. Essa investigação passou numa fase inicial pelo estado fresco do betão, de forma a analisar a sua trabalhabilidade. Na fase seguinte, analisou-se no estado endurecido, a resistência à compressão e resistência à tração por compressão diametral. Para concretização deste objetivo produziram-se três tipos de betões: um de referência (areia fina e brita fina), um betão com incorporação de agregados finos e grossos de cerâmica vermelha, juntamente com a areia fina e a brita fina, e o terceiro, um betão com a substituição total da areia fina por cerâmica fina. A realização desta investigação, demostrou que os betões com a incorporação de agregado cerâmico vermelho apresentam resultados de boa qualidade, sendo plausível a sua utilização em estruturas.

ANN-Based LMP forecasting in a distribution network with large penetration of DG

In recent years, power systems have experienced many changes in their paradigm. The introduction of new players in the management of distributed generation leads to the decentralization of control and decision-making, so that each player is able to play in the market environment. In the new context, it will be very relevant that aggregator players allow midsize, small and micro players to act in a competitive environment. In order to achieve their objectives, virtual power players and single players are required to optimize their energy resource management process. To achieve this, it is essential to have financial resources capable of providing access to appropriate decision support tools. As small players have difficulties in having access to such tools, it is necessary that these players can benefit from alternative methodologies to support their decisions. This paper presents a methodology, based on Artificial Neural Networks (ANN), and intended to support smaller players. In this case the present methodology uses a training set that is created using energy resource scheduling solutions obtained using a mixed-integer linear programming (MIP) approach as the reference optimization methodology. The trained network is used to obtain locational marginal prices in a distribution network. The main goal of the paper is to verify the accuracy of the ANN based approach. Moreover, the use of a single ANN is compared with the use of two or more ANN to forecast the locational marginal price.

An efficient method for optimal location and sizing of fixed and switched shunt capacitors in large distribution systems

This paper proposes a computationally efficient methodology for the optimal location and sizing of static and switched shunt capacitors in large distribution systems. The problem is formulated as the maximization of the savings produced by the reduction in energy losses and the avoided costs due to investment deferral in the expansion of the network. The proposed method selects the nodes to be compensated, as well as the optimal capacitor ratings and their operational characteristics, i.e. fixed or switched. After an appropriate linearization, the optimization problem was formulated as a large-scale mixed-integer linear problem, suitable for being solved by means of a widespread commercial package. Results of the proposed optimizing method are compared with another recent methodology reported in the literature using two test cases: a 15-bus and a 33-bus distribution network. For the both cases tested, the proposed methodology delivers better solutions indicated by higher loss savings, which are achieved with lower amounts of capacitive compensation. The proposed method has also been applied for compensating to an actual large distribution network served by AES-Venezuela in the metropolitan area of Caracas. A convergence time of about 4 seconds after 22298 iterations demonstrates the ability of the proposed methodology for efficiently handling large-scale compensation problems.