We measured refractive index and extinction coefficient of n type Hg1-xCdxTe with the null ellipsometric spectrum method over the visible light region at 77 and 300K,and the dispersion relation at different temperatur...We measured refractive index and extinction coefficient of n type Hg1-xCdxTe with the null ellipsometric spectrum method over the visible light region at 77 and 300K,and the dispersion relation at different temperature is discussed.The value of refractive index at 77K is smaller than that at 300K,and the changes of the extinction coefficient curve at 77K is also smaller than that at 300K.展开更多
In this study,near-infrared(NIR) spectroscopy was applied to efficiently and non-destructively identify Shandong green tea origins coupled with three different regression tools.Analysis results indicated that partial ...In this study,near-infrared(NIR) spectroscopy was applied to efficiently and non-destructively identify Shandong green tea origins coupled with three different regression tools.Analysis results indicated that partial least squares(PLS) had better performance than back propagation artificial neural network(BP-ANN) and support vector machine(SVM).For PLS,the accuracies of identification were up to 100% for both training and testing.The results sufficiently demonstrate that NIR spectroscopy can be efficiently utilized for the non-destructive identification of green tea origins.展开更多
基金the National Natural Science Foundation of China.
文摘We measured refractive index and extinction coefficient of n type Hg1-xCdxTe with the null ellipsometric spectrum method over the visible light region at 77 and 300K,and the dispersion relation at different temperature is discussed.The value of refractive index at 77K is smaller than that at 300K,and the changes of the extinction coefficient curve at 77K is also smaller than that at 300K.
基金supported by the State Key Laboratory of Sensor Technology Fund(Grant No.SKT1507)China Postdoctoral Science Foundation(Grant No.2012M521319)the crosswise project"Application of micro NIR spectrograph in the wireless sensor network"(Grant No.2015-1-1273)
文摘In this study,near-infrared(NIR) spectroscopy was applied to efficiently and non-destructively identify Shandong green tea origins coupled with three different regression tools.Analysis results indicated that partial least squares(PLS) had better performance than back propagation artificial neural network(BP-ANN) and support vector machine(SVM).For PLS,the accuracies of identification were up to 100% for both training and testing.The results sufficiently demonstrate that NIR spectroscopy can be efficiently utilized for the non-destructive identification of green tea origins.
