We present a global approach to solve the three-layer wirabifity problem for knock-knee layouts. In general, the problem is NP-complete. Only for very restricted classes of layouts polynomial three-layer wiring algori...
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In response to higher and higher dimensions and complexity of optimization problems in engineering applications, the optimization algorithms face more and more challenges. This paper proposes a novel electron drifting...
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Sparsity-based sound field reproduction algorithms often result in improved localization and larger reproduction region, but also lead to high computational cost. In this work, we present a novel approach for sparse r...
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A mass of video data is processed at the control center in most video surveillance systems, this brings some difficulty in data integration and real-time computation. In this paper we present a hierarchical structure ...
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Due to differences in length- and energy scales, it is common in hybrid computational aeroacoustics (CAA) to use different meshes for the computational fluid dynamics (CFD) and the acoustic calculations. Therefore, an...
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This paper presents novel frameworks for efficient and lightweight convolutional neural networks that are suitable for use in embedded system applications. Population-based metaheuristic approaches including the genet...
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The Bayesian approach is well recognised in the structural dynamics community as an attractive approach to deal with parameter estimation and model selection in nonlinear dynamical systems. In the present paper, one i...
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ISBN:
(纸本)9789073802940
The Bayesian approach is well recognised in the structural dynamics community as an attractive approach to deal with parameter estimation and model selection in nonlinear dynamical systems. In the present paper, one investigates the potential of approximate Bayesian computation employing sequential Monte Carlo (ABC-SMC) sampling [1] to solve this challenging problem. In contrast to the classical Bayesian inference algorithms which are based essentially on the evaluation of a likelihood function, the ABC-SMC uses different metrics based mainly on the level of agreement between observed and simulated data. This alternative is very attractive especially when the likelihood function is complex and cannot be approximated in a closed form. Moreover, this flexibility allows one to use new features from either the temporal or the frequency domains for system identification. To demonstrate the practical applicability of the ABC-SMC algorithm, two illustrative examples are considered in this paper.
For the numerical simulation of the hypersonic vehicle aerothermal heating, the grid-dependency of the aerothermal computation under the hypersonic flow was studied by the means of computational fluid dynamic. By empl...
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For the numerical simulation of the hypersonic vehicle aerothermal heating, the grid-dependency of the aerothermal computation under the hypersonic flow was studied by the means of computational fluid dynamic. By employed two-dimensional cylinder model, researched the influence of the grid-reynolds number to heat transfer simulation, and established the connection between grid refinement in position of shock wave and the heat transfer computational accuracy. The result indicates that the grid-reynolds number less than 8 can gain a convergent result of heat transfer and the grid refinement in the shock position is beneficial for heat transfer simulation. Besides, the applicability of the gird criterion to the computation of three-dimensional model was verified by the aerothermal simulation of the X-33 hypersonic vehicle. The research has some guiding significance for engineering applications.
This paper describes a strategy to follow whilst playing the Rock-Paper-Scissors game. Instead of making a biased decision, a rule is adopted where the outcomes of the game from the last few turns are observed and the...
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There are three kind of algorithms used in image reconstruction of Electromagnetic Tomography (EMT) technology for twophase flow measurement. In distiguishment between mediums with high conductivity difference, ...
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