The thermodynamic systems and kinetic model suitable for the electrochemical token of the compo-nent throng in Chinese traditional medicines have been analyzed. It has been indicated that the damp oscillatory reaction...The thermodynamic systems and kinetic model suitable for the electrochemical token of the compo-nent throng in Chinese traditional medicines have been analyzed. It has been indicated that the damp oscillatory reactions in the non-equilibrium close system and open system without the supplement of dissipative substance have important significance for the throng token and analysis of chemical com-ponents in Chinese traditional medicines. Various factors influencing the electrochemical fingerprint,such as reactant species and their concentrations,electrode types,temperature,stir rate,the kind,dosage and granularity of Chinese traditional medicines,have amply been researched by the B-Z os-cillatory reaction which used malonic acid as a main dissipative substance. In addition,the quantitative information about the chemical components in Chinese traditional medicines has been discussed in detail. The method and its conditions for determining the electrochemical fingerprint used in scientifi-cally distinguishing and evaluating Chinese traditional medicines have successfully been put forward.展开更多
Fingerprint segmentation is one of the most important preprocessing steps in an automatic fingerprint identification system （AFIS）. Accurate segmentation of a fingerprint will greatly reduce the computation time of ...Fingerprint segmentation is one of the most important preprocessing steps in an automatic fingerprint identification system （AFIS）. Accurate segmentation of a fingerprint will greatly reduce the computation time of the following processing steps, and the most importantly, exclude many spurious minutiae located at the boundary of foreground. In this paper, a new fingerprint segmenta- tion algorithm is presented. First, two new features, block entropy and block gradient entropy, are proposed. Then, an AdaBoost classifier is designed to discriminate between foreground and background blocks based on these two features and five other commonly used features. The classification error rate （Err） and McNemar＇s test are used to evaluate the performance of our method. Experimental results on FVC2000, FVC2002 and FVC2004 show that our method outperforms other methods proposed in the literature both in accuracy and stability.展开更多
为对棉花品种进行特异性鉴别,利用SSR(simple sequence repeats)方法对参加国家区试的2个棉花品种(A1、A2)的遗传特异性进行了研究。同时,根据棉花植物新品种DUS(distinctness,uniformity and stability)测试指南,对上述2份材料进行了2...为对棉花品种进行特异性鉴别,利用SSR(simple sequence repeats)方法对参加国家区试的2个棉花品种(A1、A2)的遗传特异性进行了研究。同时,根据棉花植物新品种DUS(distinctness,uniformity and stability)测试指南,对上述2份材料进行了20个农艺性状的特异性分析。结果表明,2个棉花品种的指纹图谱相同且田间性状相似,是同一个品种。该方法弥补了以往只考虑利用SSR鉴定品种的特异性而没有考虑田间农艺性状鉴定与SSR鉴定差异的不足,可以更客观地反映品种的特异性。展开更多
基金Supported by the National Natural Science Foundation of China (Grant Nos. 20175036 and 20235020)
文摘The thermodynamic systems and kinetic model suitable for the electrochemical token of the compo-nent throng in Chinese traditional medicines have been analyzed. It has been indicated that the damp oscillatory reactions in the non-equilibrium close system and open system without the supplement of dissipative substance have important significance for the throng token and analysis of chemical com-ponents in Chinese traditional medicines. Various factors influencing the electrochemical fingerprint,such as reactant species and their concentrations,electrode types,temperature,stir rate,the kind,dosage and granularity of Chinese traditional medicines,have amply been researched by the B-Z os-cillatory reaction which used malonic acid as a main dissipative substance. In addition,the quantitative information about the chemical components in Chinese traditional medicines has been discussed in detail. The method and its conditions for determining the electrochemical fingerprint used in scientifi-cally distinguishing and evaluating Chinese traditional medicines have successfully been put forward.
基金Acknowledgements This paper was supported by the National High Technology Research and Development Program of China （2008AA01Z411）, the National Natural Science Foundation of China （Grant Nos. 60902083, 60803151, and 60875018）, the Beijing Natural Science Fund （4091004）, and the Fundamental Research Funds for the Central Universities （K50510100003）.
文摘Fingerprint segmentation is one of the most important preprocessing steps in an automatic fingerprint identification system （AFIS）. Accurate segmentation of a fingerprint will greatly reduce the computation time of the following processing steps, and the most importantly, exclude many spurious minutiae located at the boundary of foreground. In this paper, a new fingerprint segmenta- tion algorithm is presented. First, two new features, block entropy and block gradient entropy, are proposed. Then, an AdaBoost classifier is designed to discriminate between foreground and background blocks based on these two features and five other commonly used features. The classification error rate （Err） and McNemar＇s test are used to evaluate the performance of our method. Experimental results on FVC2000, FVC2002 and FVC2004 show that our method outperforms other methods proposed in the literature both in accuracy and stability.
文摘为对棉花品种进行特异性鉴别,利用SSR(simple sequence repeats)方法对参加国家区试的2个棉花品种(A1、A2)的遗传特异性进行了研究。同时,根据棉花植物新品种DUS(distinctness,uniformity and stability)测试指南,对上述2份材料进行了20个农艺性状的特异性分析。结果表明,2个棉花品种的指纹图谱相同且田间性状相似,是同一个品种。该方法弥补了以往只考虑利用SSR鉴定品种的特异性而没有考虑田间农艺性状鉴定与SSR鉴定差异的不足,可以更客观地反映品种的特异性。
