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This paper addresses an interdisciplinary solution for one of the problems associated with computerized educational disciplines. Addressed problem basically concerned with realistic computer-based educational simulations (e-Sims). More specifically, it searches for optimal software learning package(s) applied for teaching of specified curriculum(s) in classroom(s). Herein, quantitative evaluation...
The statistical approaches for estimating crosstalk in random cable bundles require significant computational effort. The “worst-case” method can mitigate overmuch computation, but it gives a too conservative prediction. In order to account for these problems, a neural network approach to predict crosstalk in non-uniform cable bundles at low frequencies where circuits are electrically small is proposed...
The volatility of crude oil market and its chain effects to the world economy augmented the interest and fear of individuals, public and private sectors. Previous statistical and econometric techniques used for prediction, offer good results when dealing with linear data. Nevertheless, crude oil price series deal with high nonlinearity and irregular events. The continuous usage of statistical and...
This paper discusses short-horizon prediction of wind speed and power using wind turbine data collected at 10 s intervals. A time-series model approach to examine wind behavior is studied. Both exponential smoothing and data-driven models are developed for wind prediction. Power prediction models are established, which are based on the most effective wind prediction model. Comparative analysis of...
The intent of this study is to provide an initial exploration of the metamodeling capabilities of two methods, i.e. neural network (NN) and Kriging approximation, in the context of simulation optimization. A total of four performance measures are adopted, and they describe different kinds of metamodel performance, such as ability to provide good starting points for gradient-based search, accuracy...
Multi-processor Systems-on-chip are currently designed by using platform-based synthesis techniques. In this approach, a wide range of platform parameters are tuned to find the best trade-offs in terms of the selected system figures of merit (such as energy, delay and area). This optimization phase is called Design Space Exploration (DSE) and it generally consists of a Multi-Objective Optimization...
An approach for statistical and reliability analyses of concrete structures is presented. It describes the virtual simulation used on the way from assessment of experimental results to reliability analysis. The whole approach is based on randomization of nonlinear fracture mechanics finite element analysis of concrete structures. Efficient techniques of both nonlinear numerical analysis of concrete...
At present, the vast majority of the research on promotion effects at home and abroad mainly focuses on single promotion means study based on statistical methods. This paper establishes an integrated model regarding the effects of the cost invested by telecommunication operators in each promotion means on sales increase and discusses the distribution of promotion cost among various means by combining...
Cross-document coreference resolution, which is an important subtask in natural language processing systems, focus on the problem of determining if two mentions from different documents refer to the same entity in the world. In this paper we present a two-step approach, employing a classification and clusterization phase. In a novel way, the clusterization is produced as a graph cutting algorithm,...
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