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This paper describes the evaluation of the Auto-Adaptive Parallel Neural Network Architecture, AAPNNA, in the SBMnet dataset. AAPNNA is an artificial neural model based on two networks whose neurons represent two different Background models that adapt their parameters at different rates. A very important feature of AAPNNA is its capacity to auto adapt to new scenario conditions as demonstrated with...
In this paper, an extension of independent vector analysis (IVA), model-based IVA, is proposed for multichannel source separation. For obtaining better source models, we introduce a single-channel source separation method, and utilize the outputs as source variances in time-frequency-variant Gaussian source model. The demixing matrices are estimated in the same way as a state-of-the-art IVA method,...
Detailed simulations of large scale message-passing interface parallel applications are extremely time consuming and resource intensive. A new methodology that combines signal processing and data mining techniques plus a multilevel simulation reduces the simulated data by various orders of magnitude. This reduction makes possible detailed software performance analysis and accurate performance predictions...
The overcrowding of Emergency Departments (EDs) is a well-known problem that has been analyzed on multiple occasions. Queuing theory and simulation have been applied extensively to specific ED situations, such as staff planning, waiting time reduction and capacity investment. However, there are remaining problems in the EDs that need more study. One of them is the ambulance diversion, which may cause...
Detailed switch-level models of high-pulse-count converters are relatively straightforward to implement using commonly available simulation packages used for digital time-domain simulations and studying of power systems transients. However, such models are computationally intensive due to switching, and could become the bottle-neck for system-level studies with large number of components and controllers...
Summary form only given. This is an introductory paper on z-transform-based methods for electromagnetic transient simulations of power systems. Since the theory of the z-transform was originally developed for the analysis of time series data defined at equidistant time steps, simulation models developed using z-transforms can readily be used in electromagnetic transient simulations based on the same...
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