Zhongzhi Han

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In this paper, a hybrid progressive algorithm to recognize type II diabetic based on hair mineral element levels is proposed. Hair samples of 244 cases (Table 1) are collected from 51 healthy persons (one case each person), 47 unchecked diabetics (one case each person) and 73 checked diabetics (two cases each person). 8 hair elements (Mg, Ca, Fe, Cu, Zn,(More)
Petroleum and its products are complex mixture, and how to precise analysis its components is an important part of the oil industry. In this paper, we proposed a components forecasting methods for gasoline octane value prediction based on independent component analysis (ICA) and support vector machine (SVM). By evaluating the accuracy of the models with two(More)
In order to study the feasibility of the computerized grading system of pears with rich spots, large amount of pears are put orderly in a light box, where images of different aspects of them are captured by cameras which are connected to the computer. Additionally, two methods are proposed to remove the spots on the surface of pears in the image to reduce(More)
To investigate the feasibility of identification of qualified and adulterated oil product using hyperspectral imaging(HIS) technique, a novel feature set based on quantized histogram matrix (QHM) and feature selection method using improved kernel independent component analysis (iKICA) is proposed for HSI. We use UV and Halogen excitations in this study.(More)
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