Prediction method of highway pavement rutting based on the grey theory

In order to make a scientific pavement maintenance decision, a grey-theory-based prediction methodological framework is proposed to predict pavement performance. Based on the field pavement rutting data,analysis of variance （ANOVA）was first used to study the influence of different factors on pavement rutting. Cluster analysis was then employed to investigate the rutting development trend.Based on the clustering results,the grey theory was applied to build pavement rutting models for each cluster, which can effectively reduce the complexity of the predictive model.The results show that axial load and asphalt binder type play important roles in rutting development.The prediction model is capable of capturing the uncertainty in the pavement performance prediction process and can meet the requirements of highway pavement maintenance,and,therefore,has a wide application prospects.

Clock-based RAIM method and its application in GPS receiver positioning

Because the signals of global positioning system （GPS） satellites are susceptible to obstructions in urban environment with many high buildings around, the number of GPS useful satellites is usually less than six. In this case, the receiver autonomous integrity monitoring （RAIM） method earmot exclude faulty satellite. In order to improve the performance of RAIM method and obtain the reliable positioning results with five satellites, the series of receiver clock bias （RCB） is regarded as one useful satellite and used to aid RAIM method. From the point of nonlinear series, a grey-Markov model for predicting the RCB series based on grey theory and Markov chain is presented. And then the model is used for aiding RAIM method in order to exclude faulty satellite. Experimental results demonstrate that the prediction model is fit for predicting the RCB series, and with the clock-based RAIM method the faulty satellite can be correctly excluded and the positioning precision of GPS receiver can be improved for the case where there are only five useful satellites.

Building a Comprehensive Well-off Society in Yunnan＇s Minority Areas A Study of the Prediction on the Differences in Economic Development Indexes

Based on the gray theory and GM （1, 1） model, the various indexes in 2013-2020 are predicted using the data of all indexes of the economic development of Yunnan＇ s 8 minority areas in 2013-2020 and also compared with the standard values of all indexes of building a well-off society in 2020, and the differences between them are analyzed. The purpose of this study is to provide a reference basis for Yunnan province＇ s government to analyze the economic development of the minority areas.

Building a Comprehensive Well-off Society in Yunnan＇s Minority Areas A Study of the Prediction on the Differences in Life Quality Indexes

Based on the gray theory and GM （1, 1） model, the life quality indexes in next few years are predicted using the statistical data of the life quality indexes of Yunnan＇ s 8 minority areas in recent years and also compared with the standard value （2020） of building the national well-off society, and the differences between them are measured and calculated. Thus, effective reference information is provided for the decision-making of government.

基于物体颜色信息的图像紫边矫正方法

提出了一种基于颜色信息的大区域紫边矫正方法。在研究紫边成因的基础上,结合色差理论对传统紫边检测方法进行了改进;在矫正紫边时,提出了利用物体颜色信息的分类矫正方法以及规避错误矫正的措施,并对残留紫边进行了矫正,从而在有效地矫正紫边的同时,减少了矫正误差。实验结果表明,相比已有方法,该方法对图像中各种场景下的大区域紫边均有更好的矫正效果,矫正后的图像在主观视觉和客观数据指标上均有明显提升。