In this paper we address a new approach of contour extraction of moving objects using active contours in an image sequence. Both the spatial convolution process and the external boundary tracing algorithm (EBTA) are u...
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The Multimedia Router (MMR) architecture is aimed at providing QoS to multimedia traffic in a local area environment, while retaining a compact and simple design. In this paper, we show some preliminary performance ev...
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The exploited parallelism offered by logic programming languages is usually categorized as OR-parallelism and AND-parallelism. Another dimension could be the level of functionality where the parallelism is exploited. ...
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In traditional information retrieval (IR) systems. a document as a whole is the target for a query. With increasing interests in structured documents like SGML documents, there is a growing need to build an LR system ...
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Discrete-time control schemes are often used for realization of positional control strategies for continuous time control problems (Krasovskii and Subbotin, 1974; Osipov, 1971) . However for general systems.with delay...
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Discrete-time control schemes are often used for realization of positional control strategies for continuous time control problems (Krasovskii and Subbotin, 1974; Osipov, 1971) . However for general systems.with delays (whicb are often called functional differential equations (FDE)) exact solutions in both continuous and discrete schemes can be found in exceptional cases. So, as rule, it is necessary to solve corresponding control problems using suitable numerical algorithms . In surveys (Cryer and Tavernini, 1972; Hall and watt, 1976; Bellen, 1985) different numerical methods for FDE are discussed. In this paper positional implicit Runge-Kutta-like numerical methods of solving general FDE are presented. The elaborated methods are direct analogs of the corresponding numerical methods of ODE case. Also we present new theorem (which generalizes the results of (Kim and Pimenov, 1997; Kim and Pimenov, 1998)) on convergence order. The obtained results are based on distinguishing of finite dimensional and infinite dimensional components in the structure of FDE, on interpolation and extrapolation of the discrete prehistory of the model, on application of constructions of i- smooth analysis (Kim, 1996) . The notion of an approximation order for an optimal strategy in the discrete scheme of realization is introduced. The conditions, which guarantee required approximation order of the optimal strategy, are presented.
The problem researched is that there presently does not exist a set of success factors which are common across organizations and have some predictability relationship to software reuse. For completeness, this research...
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The paper illustrates two different Artificial Neural Networks (ANN) architectures for electric Short-Term Load Forecasting (STLF). Two multi-layer perceptron ANN using the back-propagation learning algorithm have bee...
The paper illustrates two different Artificial Neural Networks (ANN) architectures for electric Short-Term Load Forecasting (STLF). Two multi-layer perceptron ANN using the back-propagation learning algorithm have been implemented which provide different, although complementary, forecasting approaches (static and dynamic). In order to test the potentialities of the architectures implemented, the ANN have been applied to the Short-Term Forecasting of Italian hourly electric load. The importance of this load (peak demands up to about 38 000 MW) requires tools for STLF which must be as more accurate and precise as possible. This fact has imposed the adoption of some algorithmic enhancements to the basic back-propagation algorithm formulation. Since an adequate formulation of the influence exerted on hourly electric load by the main meteorological and climatic factors is nor known at present, the data set used for ANN training phase has concerned only historical series of electric hourly demand. The paper illustrates the two ANN architectures as well as the computational platforms used for implementation, Finally, some results obtained from the application of the two ANN to the short-term forecasting of Italian electric load relevant to three different weeks of the year 1993 are comparatively reported.
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