Papers by Author: Ming Li

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Abstract: In this paper, the desorption temperature of adsorption bed in typical weather condition is studied though the solar adsorption refrigeration experiment with conditions of different weather. The results showed that: the better the weather condition is, the higher the highest temperature of the adsorption bed is, so the better the effect of desorption is. No matter in cloudless sunny or partly cloudy sunny conditions, the desorption temperature of adsorption bed can reach 93.4°C, and the amount of desorption also will be larger; however, in cloudy weather conditions, desorption temperature can reach 88.5°C, and desorption quantity is relatively fewer than it in cloudless sunny days.
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Abstract: Similarity measure function is one of the most important factors influencing the matching precision in the field of computer vision. In this paper, a survey is done on the application frequency of distance similarity measure methods and related similarity measure methods, also the statistic characteristic is been given. The significance of Measure functions variable parameters in image matching is showed. In the real time processing aspect, drawn the conclusion that Manhattan distance measure is the fastest, Euclidean distance take second place, correlation coefficient is worst. However, in the robustness of the noise pollution aspect, correlation coefficient has the strongest robustness, then followed is Manhattan distance, Euclidean distance is worst.
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Abstract: Dynamic properties of Nanostructured Metal Matrix Composites (NMMCs) materials consisting of nanograined aluminum matrix with nano or micro-sized ceramics particulates are calculated using Ansys/LS-DYNA in this paper. There are three conditions for the mechanics analysis involved the target with 10 vol. % SiC, 30 vol. % SiC and 50 vol. % SiC. It is assumed that the SiC particles uniformly distributed in the matrix. According to the analysis, the strength of NMMCs material is reduced, and the deformation of target is weakened by the vol. % of SiC increasing.
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