Uncertainty assessment approach for composite structures based on global sensitivity indices

The problem of uncertainty propagation in composite laminate structures is studied. An approach based on the optimal design of composite structures to achieve a target reliability level is proposed. Using the Uniform Design Method (UDM), a set of design points is generated over a design domain centred at mean values of random variables, aimed at studying the space variability. The most critical Tsai number, the structural reliability index and the sensitivities are obtained for each UDM design point, using the maximum load obtained from optimal design search. Using the UDM design points as input/output patterns, an Artificial Neural Network (ANN) is developed based on supervised evolutionary learning. Finally, using the developed ANN a Monte Carlo simulation procedure is implemented and the variability of the structural response based on global sensitivity analysis (GSA) is studied. The GSA is based on the first order Sobol indices and relative sensitivities. An appropriate GSA algorithm aiming to obtain Sobol indices is proposed. The most important sources of uncertainty are identified.

Complex dynamics of financial indices

This paper presents a novel method for the analysis of nonlinear financial and economic systems. The modeling approach integrates the classical concepts of state space representation and time series regression. The analytical and numerical scheme leads to a parameter space representation that constitutes a valid alternative to represent the dynamical behavior. The results reveal that business cycles can be clearly revealed, while the noise effects common in financial indices can elegantly be filtered out of the results.

Analysis of financial indices by means of the windowed Fourier transform

The goal of this study is to analyze the dynamical properties of financial data series from nineteen worldwide stock market indices (SMI) during the period 1995–2009. SMI reveal a complex behavior that can be explored since it is available a considerable volume of data. In this paper is applied the window Fourier transform and methods of fractional calculus. The results reveal classification patterns typical of fractional order systems.

Analysis of stock market indices through multidimensional scaling

We propose a graphical method to visualize possible time-varying correlations between fifteen stock market values. The method is useful for observing stable or emerging clusters of stock markets with similar behaviour. The graphs, originated from applying multidimensional scaling techniques (MDS), may also guide the construction of multivariate econometric models.

Habitação modular evolutiva

Da necessidade de criação de habitações que se adaptem ao constante dinamismo do ser humano, surgiu a ideia da concepção de um edifício evolutivo com base na construção modular. A construção modular poderá ser entendida como sendo a principal resposta ao combate da construção de estruturas físicas e imóveis, com características inalteráveis ao longo do tempo. Com este trabalho idealizou-se uma habitação evolutiva, baseado nos conceitos da Coordenação Modular, identificando-se as suas especificações, exigências de desempenho e características funcionais. Foi considerada como medida modular base 0,10m. Os módulos foram pensados com o intuito de que o seu desempenho prático seja satisfatório. A sua base estrutural foi executada a partir do rearranjo de contentores marítimos. Previu-se ainda, o uso de coberturas verdes por serem uma solução comprovada de minorar notoriamente o efeito pernicioso que a construção tem sobre o meio ambiente, ao mesmo tempo que apresentam vantagens térmicas e acústicas. A questão do incentivo do uso da pré-fabricação em Portugal a uma maior escala, não poderia ser descurada. A apresentação de eventuais desenvolvimentos futuros é também relevante, dada a importância que é inerente ao âmbito da industrialização da construção. Do estudo realizado ficaram ainda, bem patentes, os benefícios da racionalização e da industrialização, tanto em termos económicos como em termos ambientais. É possível executar um projecto com níveis de perdas mais baixos e com índices de qualidade superiores a um menor preço.

Two new power indices based on winning coalitions

Deegan and Packel (1979) and Holler (1982) proposed two power indices for simple games: the Deegan–Packel index and the Public Good Index. In the definition of these indices, only minimal winning coalitions are taken into account. Using similar arguments, we define two new power indices. These new indices are defined taking into account only those winning coalitions that do not contain null players. The results obtained with the different power indices are compared by means of two real-world examples taken from the political field.

AUV Control and Communication using Underwater Acoustic Networks

Underwater acoustic networks can be quite effective to establish communication links between autonomous underwater vehicles (AUVs) and other vehicles or control units, enabling complex vehicle applications and control scenarios. A communications and control framework to support the use of underwater acoustic networks and sample application scenarios are described for single and multi-AUV operation.

An automatic voice pleasantness classification system based on prosodic and acoustic patterns of voice preference

In the last few years the number of systems and devices that use voice based interaction has grown significantly. For a continued use of these systems the interface must be reliable and pleasant in order to provide an optimal user experience. However there are currently very few studies that try to evaluate how good is a voice when the application is a speech based interface. In this paper we present a new automatic voice pleasantness classification system based on prosodic and acoustic patterns of voice preference. Our study is based on a multi-language database composed by female voices. In the objective performance evaluation the system achieved a 7.3% error rate.