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Breath training is an important part in the pronunciation recovery process, we simulate the fluent of air in the the upper respiratory tract, use computational fluid dynamic to build the impaired hearing children's pronunciation recovery system, and we have tasted the reliability of the system by experimental. We study the two parts in the breath process by the dynamic fluid computational method,...
The mean value engine model is mainly used in developing gasoline engine control systems. In this paper, the author introduce the intake manifold sub-model and throttle body sub-model of mean value engine model, and coupled with a mathematic model of the basic fuel injection pulse width by MATLAB/SIMULINK. Obtained a electronic control system basic MAP diagram of Renault E6 single cylinder research...
A modified Voronoi model is established based on the Richard's method to generate 2D non-equiaxed initial microstructure for Monte Carlo simulation of recrystallization. It is verified to be efficient by comparing the simulated results and the experimental ones. Then the model is introduced to simulate the recrystallization process of pure ferrite steel plate, the effect of rolling reduction on microstructure...
Computer generated clouds are indispensable in virtual environments nowadays. This paper proposes a probability fields controlling cellular automata method. Creation of the probability fields adoptes fractional Brownian motion (fBm) which accords with the natural chaotic motion of particles and endows the results with realistic cloudy characteristics. We accelerate our simulation by running all the...
This paper proposed a novel method for selecting good views in 3D scene observation. A lot of existing methods for computing viewpoint quality are based on the number of visible faces and the projected area only, so they miss the visual identity of the scene. Our method combines the notion of mesh saliency and fuzzy nearness. First, we construct a fuzzy set for a viewpoint. The elements of the set...
Joint factor analysis (JFA) has been successfully applied to speaker verification tasks to tackle speaker and session variability. In the sense of Bayesian statistics, it is beneficial to take account of the uncertainties in JFA to better characterize its speaker enrollment and verification processes, e.g. representing target speaker model by posteriori distribution of latent speaker factors and evaluating...
Proper placement of cameras in a distributed smart camera network is an important design problem. Not only does it determine the coverage of the surveillance, but it also has a direct impact on the appearance of objects in the cameras which dictates the performance of all subsequent computer vision tasks. In this paper, we propose a generic camera placement model based on the visibility of objects...
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