According to the survey of Guangdong mangrove resource in 2001 and authors field investigations in the past 5 years, the total mature mangrove land area of Guangdong Province was estimated at 9084 hm2, accounting for ...According to the survey of Guangdong mangrove resource in 2001 and authors field investigations in the past 5 years, the total mature mangrove land area of Guangdong Province was estimated at 9084 hm2, accounting for 41.4% of total mangrove land area of China. These mangrove forests totally consisted of 50 species belonging to 28 families, distributed at more than 100 locations along the coastlines of Guangdong and most of them present a high dense and dwarf appearance. The Ass. Avicennia marina is the most dominant mangrove association. The investigation results showed that the mangrove forests with coverage rates above 0.7 accounted for 68.0% of the total mangrove land area of the province and 77.8% of mangrove forests was less than 2 m in tree height. Since 1950, 54.6% of mangrove forests have disappeared due to paddy rice reclaim, aquaculture and city constructions. Derivational conservation efforts are still weakly empowered and should be strengthened intensively. The author suggested that mangrove laws and regulations should be enforced, mangrove scientific research should be strengthened; and mangrove conservation awareness of local community should be raised on conservation of mangroves.展开更多
Computer forensics and identification for traditional Chinese painting arts have caught the attention of various fields. Rice paper's feature extraction and analysis methods are of high significance for the rice pape...Computer forensics and identification for traditional Chinese painting arts have caught the attention of various fields. Rice paper's feature extraction and analysis methods are of high significance for the rice paper is an important carrier of traditional Chinese painting arts. In this paper, rice paper's morphological feature analysis is done using multi spectral imaging technology. The multispectral imaging system is utilized to acquire rice paper's spectral images in different wave- length channels, and then those spectral images are measured using texture parameter statistics to acquire sensitive bands for rice paper's feature. The mathematical morphology and grayscale statistical principle are utilized to establish a rice paper's morphological feature analytical model which is used to acquire rice paper' s one-dimensional vector. For the purpose of eval- uating these feature vectors' accuracy, they are entered into the support vector machine(SVM) classifier for detection and classification. The results show that the rice paper's feature is out loud in the spectral band 550 nm, and the average classifi- cation accuracy of feature vectors output from the analytical model is 96 %. The results indicate that the rice paper's feature analytical model can extract most of rice paper's features with accuracy and efficiency.展开更多
The education of migrant workers' children is not only education but also social issue. Countries and places have introduced a number of policies to address the issue in a timely manner. At first, this paper analyzes...The education of migrant workers' children is not only education but also social issue. Countries and places have introduced a number of policies to address the issue in a timely manner. At first, this paper analyzes the compulsory education policy for migrant workers' children and off-site college entrance policy, then find that there are still many problems in the formulation and implementation of policy. In the future, the relevant departments should be through improving the social status of migrant workers, increasing efforts to support the private school children of migrant workers, increasing investment in adult education, increasing the publicity of city, such the four aspects of policy guidance to coordinate and solve the education of migrant workers' children.展开更多
文摘According to the survey of Guangdong mangrove resource in 2001 and authors field investigations in the past 5 years, the total mature mangrove land area of Guangdong Province was estimated at 9084 hm2, accounting for 41.4% of total mangrove land area of China. These mangrove forests totally consisted of 50 species belonging to 28 families, distributed at more than 100 locations along the coastlines of Guangdong and most of them present a high dense and dwarf appearance. The Ass. Avicennia marina is the most dominant mangrove association. The investigation results showed that the mangrove forests with coverage rates above 0.7 accounted for 68.0% of the total mangrove land area of the province and 77.8% of mangrove forests was less than 2 m in tree height. Since 1950, 54.6% of mangrove forests have disappeared due to paddy rice reclaim, aquaculture and city constructions. Derivational conservation efforts are still weakly empowered and should be strengthened intensively. The author suggested that mangrove laws and regulations should be enforced, mangrove scientific research should be strengthened; and mangrove conservation awareness of local community should be raised on conservation of mangroves.
基金University-Industry-Science Partnership Project of Guangdong Province and Ministry of Education,China(No.2012B091000155)Strategic Emerging Industries Project of Guangdong Province(No.2011912027)
文摘Computer forensics and identification for traditional Chinese painting arts have caught the attention of various fields. Rice paper's feature extraction and analysis methods are of high significance for the rice paper is an important carrier of traditional Chinese painting arts. In this paper, rice paper's morphological feature analysis is done using multi spectral imaging technology. The multispectral imaging system is utilized to acquire rice paper's spectral images in different wave- length channels, and then those spectral images are measured using texture parameter statistics to acquire sensitive bands for rice paper's feature. The mathematical morphology and grayscale statistical principle are utilized to establish a rice paper's morphological feature analytical model which is used to acquire rice paper' s one-dimensional vector. For the purpose of eval- uating these feature vectors' accuracy, they are entered into the support vector machine(SVM) classifier for detection and classification. The results show that the rice paper's feature is out loud in the spectral band 550 nm, and the average classifi- cation accuracy of feature vectors output from the analytical model is 96 %. The results indicate that the rice paper's feature analytical model can extract most of rice paper's features with accuracy and efficiency.
文摘The education of migrant workers' children is not only education but also social issue. Countries and places have introduced a number of policies to address the issue in a timely manner. At first, this paper analyzes the compulsory education policy for migrant workers' children and off-site college entrance policy, then find that there are still many problems in the formulation and implementation of policy. In the future, the relevant departments should be through improving the social status of migrant workers, increasing efforts to support the private school children of migrant workers, increasing investment in adult education, increasing the publicity of city, such the four aspects of policy guidance to coordinate and solve the education of migrant workers' children.