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Chromatography has been widely used in discrimination and quality control for Chinese medicines (CMs). Nevertheless, regular analytical approaches are not applicable if training samples are small while features are large. Support vector machine (SVM) with recursive feature elimination algorithm (RFE-SVM) is presented in this study for discrimination of Pericarpium Citri Reticulatae through small chromatographic...
In recent years, more and more people are learning Chinese calligraphy, and for how to correctly brush pen and brush, the less people know about this. This topic combines the spatial point cloud data and gesture recognition technology, in view of the common brush pen gestures — five fingers penned method for the study of feature selection and extraction. Innovation point of this article is the gesture...
Mutual modes derived from Chromatographie fingerprints of high-quality traditional Chinese medicine (TCM) can provide standards for quality assessment. This paper demonstrates a new method to apply non-negative matrix factorization (NMF) in deriving mutual mode from high performance liquid chromatography (HPLC) fingerprints of TCM. The HPLC fingerprints of the same species of TCM are taken as data...
Kernel Independent Component Analysis (KICA) is a non-linear method for blind source separation (BSS) advanced recently. KICA can't remove the disturbing noise in observed sample signal yet, it has a badness result of feature extraction. For these reason, paper gave a new method of feature extraction: PCA_KICA method, recurring to the characteristic of dimensional reduction and noise-removing of PCA...
Kernel Independent Component Analysis (KICA) which is advanced recently is a non-linear method for blind source separation (BSS). KICA can't reduce the dimension of multidimensional data when extract its feature, that is to say, KICA can't remove the disturbing noise in observed sample signal. For these reason, paper improved its ability to process the multidimensional data, recurring to the characteristic...
This paper describes acoustic emission (AE) techniques based on Hilbert-Huang transform (HHT) that were recently exercised to characterise the AE signals released from the wind turbine bearing. Acoustic emission that detects elastic stress waves within a structure failure is capable of online monitoring and very sensitive to the fault development. AE wave is a non-stationary stochastic signal. Hilbert-Huang...
Most researchers applied the same procedure in both fingerprint enrollment and fingerprint verification. In general, many overall pixel-level computations are employed in the procedure of fingerprint enrollment to obtain clear minutiae. Because the minutiae-matching is performed only once for one-to-one verification, we propose a different procedure to directly check the positions of minutiae in gray-level...
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