A fast knowledge based recognition method of the harbor target in large gray remote-sensing image is presented. First, the distributed features and the inherent feature are analyzed according to the knowledge of harbo...A fast knowledge based recognition method of the harbor target in large gray remote-sensing image is presented. First, the distributed features and the inherent feature are analyzed according to the knowledge of harbor targets; then, two methods for extracting the candidate region of harbor are devised in accordance with different sizes of the harbors; after that, thresholds are used to segment the land and the sea with strategies of the segmentation error control; finally, harbor recognition is implemented according to its inherent character （semi-closed region of seawater）.展开更多
Studies were carried out on the extraction characters of trivalent rare earths from chloride solutions using organophosphorus acids 2-ethylhexylphosphonic acid mono-（2-ethylhexyl） ester （HEHEHP） combined with [di-...Studies were carried out on the extraction characters of trivalent rare earths from chloride solutions using organophosphorus acids 2-ethylhexylphosphonic acid mono-（2-ethylhexyl） ester （HEHEHP） combined with [di-（2-ethylhexyl）-phosphoric acid （HDEHP）,isopropylphosphonic acid 1-hexyl-4-ethyloctyl ester （HHEOIPP）,bis（2,4,4-trimethylpentyl）-phosphinic acid （Cyanex 272）,bis（2,4,4-trimethypentyl）-monothiophosphinic acid （Cyanex 302） or bis（2,4,4-trimethypentyl）-dithiophosphinic acid （Cyanex 301）] as extractants. The effect of the equilibrium aqueous acidity on the extraction was studied. According to the corresponding separation factors for adjacent pairs of rare earths,it could be concluded that HEHEHP and Cyanex 272 could be employed for the separation of Tm（Ⅲ）,Yb（Ⅲ）,Lu（Ⅲ） from the other rare earths. Taking Yb（Ⅲ） as an example,based on the different stripping acid,the potential of the stripping was estimated.展开更多
Based on the analysis of the unique shapes and writing styles of Uyghur characters,we design a framework for prototype character recognition system and carry out a systematic theoretical and experimental research on i...Based on the analysis of the unique shapes and writing styles of Uyghur characters,we design a framework for prototype character recognition system and carry out a systematic theoretical and experimental research on its modules.In the preprocessing procedure,we use the linear and nonlinear normalization based on dot density method.Both structural and statistical features are extracted due to the fact that there are some very similar characters in Uyghur literature.In clustering analysis,we adopt the dynamic clustering algorithm based on the minimum spanning tree（MST）,and use the k-nearest neighbor matching classification as classifier.The testing results of prototype system show that the recognition rates for characters of the four different types（independent,suffix,intermediate,and initial type） are 74.67%,70.42%,63.33%,and 72.02%,respectively;the recognition rates for the case of five candidates for those characters are 94.34%,94.19%,93.15%,and 95.86%,respectively.The ideas and methods used in this paper have some commonality and usefulness for the recognition of other characters that belong to Altaic languages family.展开更多
文摘A fast knowledge based recognition method of the harbor target in large gray remote-sensing image is presented. First, the distributed features and the inherent feature are analyzed according to the knowledge of harbor targets; then, two methods for extracting the candidate region of harbor are devised in accordance with different sizes of the harbors; after that, thresholds are used to segment the land and the sea with strategies of the segmentation error control; finally, harbor recognition is implemented according to its inherent character （semi-closed region of seawater）.
基金Project supported by the Science and Technology Research Project of Hubei Provincial Department of Education (B20094007)Wuhan Mu-nicipal Institutions of Scientific Project (2008K018)
文摘Studies were carried out on the extraction characters of trivalent rare earths from chloride solutions using organophosphorus acids 2-ethylhexylphosphonic acid mono-（2-ethylhexyl） ester （HEHEHP） combined with [di-（2-ethylhexyl）-phosphoric acid （HDEHP）,isopropylphosphonic acid 1-hexyl-4-ethyloctyl ester （HHEOIPP）,bis（2,4,4-trimethylpentyl）-phosphinic acid （Cyanex 272）,bis（2,4,4-trimethypentyl）-monothiophosphinic acid （Cyanex 302） or bis（2,4,4-trimethypentyl）-dithiophosphinic acid （Cyanex 301）] as extractants. The effect of the equilibrium aqueous acidity on the extraction was studied. According to the corresponding separation factors for adjacent pairs of rare earths,it could be concluded that HEHEHP and Cyanex 272 could be employed for the separation of Tm（Ⅲ）,Yb（Ⅲ）,Lu（Ⅲ） from the other rare earths. Taking Yb（Ⅲ） as an example,based on the different stripping acid,the potential of the stripping was estimated.
基金Supported by the National Natural Science Foundation of China (61065001)
文摘Based on the analysis of the unique shapes and writing styles of Uyghur characters,we design a framework for prototype character recognition system and carry out a systematic theoretical and experimental research on its modules.In the preprocessing procedure,we use the linear and nonlinear normalization based on dot density method.Both structural and statistical features are extracted due to the fact that there are some very similar characters in Uyghur literature.In clustering analysis,we adopt the dynamic clustering algorithm based on the minimum spanning tree（MST）,and use the k-nearest neighbor matching classification as classifier.The testing results of prototype system show that the recognition rates for characters of the four different types（independent,suffix,intermediate,and initial type） are 74.67%,70.42%,63.33%,and 72.02%,respectively;the recognition rates for the case of five candidates for those characters are 94.34%,94.19%,93.15%,and 95.86%,respectively.The ideas and methods used in this paper have some commonality and usefulness for the recognition of other characters that belong to Altaic languages family.
