Applied Mechanics and Materials Vols. 300-301

Abstract: This paper constructs the parametric model of the spherical heart valve via computer aided design, a series of accurate parameters of the bioprosthetic heart valve, such as the radius of the sutural ring, height of the supporting stent and inclination of the supporting stent are determined. The finite element method is used to determine the effect of the suture density on the dynamic properties of the bioprosthetic heart valve. The finite element analysis results show that the suture has a significant effect on the dynamic properties of the leaflets. The peak stress with different suture density is quite different and the stress distribution with higher suture density is more reasonable than that with lower suture density. In addition, the suture density has more effect at the top of the attachment edge than the other parts of the valve leaflets. This work is very helpful to manufacture the bioprosthetic heart valve with long term durability.

Abstract: In order to simulate the transmissions of vector-borne diseases and discuss the related health policies effects on vector-borne diseases, we using compartmental model to develop an epidemic simulation models. The research will analyze the complex dynamic mathematic model of tuberculosis epidemic and determine its stability property by using the popular Matlab/Simulink software and relative software packages. Facing the current TB epidemic situation, the development of TB and its developing trend through constructing a dynamic bio-mathematic system model of TB is investigated.

Abstract: The aim of the paper is to provide three enhancement methods for processing color images, including: RGB Histogram equalization, the method based on HSI and Multi-scale Retinex with color restoration (MSRCR). Firstly, we shall briefly introduce color image enhancement and related concept. Then, emphasis is placed on the principle of the three methods. Afterwards, we make comparison among the three methods. Finally, we can get a conclusion that: MSRCR greatly not only strengthens the details but also keep the color of the original image and acts more consistent with characteristics of human vision. However, it takes longer time. Simulation results provide a guidance and reference for the choice of color image enhancement methods.

Abstract: In order to improve the quality and precision of seismic data, taking out or suppressing interference wave consisting in the earthquake wave will be one important link in the digital processing of seismic data .The fast Fournier transformation resolves big points N into certain dot’s DFT combinations .And then breaking a large number of multiply operations to add operations and a small quality of multiply operations, thus the computation speed of the Discrete Fourier Transformation (DFT) will be enhanced greatly. The widespread uses of FFT make it to be a powerful tool in digital signal processing. The present paper will introduce the quite comprehensive narration of the principle of filter, the characteristic of fast Fournier transformation algorithm principle as well as the realization.

Abstract: Digital image processing technology applied to the field of automotive body development, especially the aerodynamic development of the external shape of automobile. This method and its corresponding software improve the efficiency compared with other traditional fluid software tools in processing the car’s front area, reduce artificial error, and have high accuracy. Digital image processing algorithms used in this article includes Image Gray, Median Filtering, Image Segmentation, Contour Extraction and so on.

Abstract: This paper proposes an audio and video synchronization method based on playback time. In ordinary playing process, the playback rate of audio is constant, so we can locate the playback time of audio and video by locating the key frame to get synchronization. Experimental results show that this method can get synchronization between audio and video and be achieved simply, furthermore, it can reduce the system overhead for synchronization.

Abstract: Image measurement is a common and non-contact dimensional measurement method. However, because of light deflection, visible light imaging is influenced largely, which makes the measurement accuracy reduce greatly. Various factors of visual measurement in high temperature are analyzed with the application of Planck theory. Thereafter, by means of the light dispersion theory, image measurement errors of visible and infrared images in high temperature which caused by light deviation are comparatively analyzed. Imaging errors of visible and infrared images are proposed quantitatively with experiments. Experimental results indicate that, based on the same imaging resolution, the relative error value of visible light image is 3.846 times larger than infrared image in 900°C high temperature. Therefore, the infrared image measurement has higher accuracy than the visible light image measurement in high temperature circumstances.