Flávio H. T. Vieira

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The paper investigates the role of real exchange rate misalignment on long-run growth for a set of ninety countries using time series data from 1980 to 2004. We first estimate a panel data model (using fixed and random effects) for the real exchange rate, with different model specification, in order to produce estimates of the equilibrium real exchange rate(More)
1 Abstract— In this paper we propose a video traffic model based on a multifractal multiplicative cascade. In our proposal, we assume that the cascade multipliers can be efficiently described by autoregressive models in each cascade scale. This multiplicative cascade model with autoregressive process based multipliers is used for GOP (Group of Pictures)(More)
—In this paper, we propose an adaptive allocation scheme which determines the number of time slots for each user in an OFDM/TDMA system using the Effective Bandwidth theory. For that purpose, we developed an algorithm to adaptively estimate the parameters of the MWM (Multifractal Wavelet Model) traffic model that allow us to calculate the effective(More)
In this paper, we present an analysis of VoIP (Voice over IP) traffic and data transfer using PLC (PowerLine Communications) network. We propose a model based on MMFM (Markov Modulated Fluid Models) for data and VoIP traffic in PLC networks. Simulations and comparisons were carried out to verify the efficiency of the proposed traffic model over the Poisson(More)
Partindo da constatação de que os conhecimentos desenvolvidos pela Biblioteconomia e a Ciência da Informação não têm sido amplamente aplicados ou adaptados para o ambiente digital, apresenta-se uma abordagem baseada na classificação facetada para a organização de acervos digitais. Apresenta-se, inicialmente, buscando o esclarecimento conceitual, os(More)
In this paper, we propose an algorithm to obtain the number of necessary hidden neurons of single-hidden-layer feed forward networks (SLFNs) for different pattern recognition application tasks. Our approach is based on clustering analysis of the data in each class. We show by simulations that the proposed approach requires less computation CPU time and(More)
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