Considering the problems that should be solved in the synthetic earthquake prediction at present, a new model is proposed in the paper. It is called joint multivariate statistical model combined by principal component...Considering the problems that should be solved in the synthetic earthquake prediction at present, a new model is proposed in the paper. It is called joint multivariate statistical model combined by principal component analysis with discriminatory analysis. Principal component analysis and discriminatory analysis are very important theories in multivariate statistical analysis that has developed quickly in the late thirty years. By means of maximization information method, we choose several earthquake prediction factors whose cumulative proportions of total sam-ple variances are beyond 90% from numerous earthquake prediction factors. The paper applies regression analysis and Mahalanobis discrimination to extrapolating synthetic prediction. Furthermore, we use this model to charac-terize and predict earthquakes in North China (30~42N, 108~125E) and better prediction results are obtained.展开更多
Moisture and total sugar content are two important internal qualities of Huizao.In order to explore their correlation with external qualities,a novel method of moisture and total sugar content analysis was proposed ba...Moisture and total sugar content are two important internal qualities of Huizao.In order to explore their correlation with external qualities,a novel method of moisture and total sugar content analysis was proposed based on surface images.Firstly,five geometric features and seven texture features of Huizao were obtained to be the external quality indexes by digital image processing technology.Secondly,the wrinkle degree as an important index was extracted by marked watershed segmentation algorithm.According to the external quality the Huizao samples were grouped,and the moisture and total sugar content were determined through physical and chemical methods.Lastly,the moisture and total sugar content and twelve external indexes were all processed by step discriminatory analysis.Meanwhile,the regression models of moisture content with short diameter,contrast,and wrinkle degree and total sugar with wrinkle degree were established.The coefficients of the model were 0.9992 and 0.9978 respectively,and all the significance was less than 0.01,which show that the regression equation and regression coefficient effect are highly significant.The results indicate that the moisture and total sugar content of Huizao are greatly correlated with the wrinkle degree.The moisture and total sugar content are the highest when the wrinkle degree is at 2 to 3 grade,and they decrease gradually with the wrinkle degree increasing.Moisture content shows positive correlation with the size of Huizao.The results of model analysis agree well with the experimental results,which can provide valuable reference for improving Huizao grade diversity.展开更多
文摘Considering the problems that should be solved in the synthetic earthquake prediction at present, a new model is proposed in the paper. It is called joint multivariate statistical model combined by principal component analysis with discriminatory analysis. Principal component analysis and discriminatory analysis are very important theories in multivariate statistical analysis that has developed quickly in the late thirty years. By means of maximization information method, we choose several earthquake prediction factors whose cumulative proportions of total sam-ple variances are beyond 90% from numerous earthquake prediction factors. The paper applies regression analysis and Mahalanobis discrimination to extrapolating synthetic prediction. Furthermore, we use this model to charac-terize and predict earthquakes in North China (30~42N, 108~125E) and better prediction results are obtained.
基金The authors acknowledge that this research was financially supported by the National Key Research and Development Plan:Intelligent harvesting mechanism research and new structure development of special agricultural products(Grant No.2016YFD0701501).
文摘Moisture and total sugar content are two important internal qualities of Huizao.In order to explore their correlation with external qualities,a novel method of moisture and total sugar content analysis was proposed based on surface images.Firstly,five geometric features and seven texture features of Huizao were obtained to be the external quality indexes by digital image processing technology.Secondly,the wrinkle degree as an important index was extracted by marked watershed segmentation algorithm.According to the external quality the Huizao samples were grouped,and the moisture and total sugar content were determined through physical and chemical methods.Lastly,the moisture and total sugar content and twelve external indexes were all processed by step discriminatory analysis.Meanwhile,the regression models of moisture content with short diameter,contrast,and wrinkle degree and total sugar with wrinkle degree were established.The coefficients of the model were 0.9992 and 0.9978 respectively,and all the significance was less than 0.01,which show that the regression equation and regression coefficient effect are highly significant.The results indicate that the moisture and total sugar content of Huizao are greatly correlated with the wrinkle degree.The moisture and total sugar content are the highest when the wrinkle degree is at 2 to 3 grade,and they decrease gradually with the wrinkle degree increasing.Moisture content shows positive correlation with the size of Huizao.The results of model analysis agree well with the experimental results,which can provide valuable reference for improving Huizao grade diversity.
