A software system of pattern recognition on spectrum signal of metal transfer mode has been developed using Visual Basic under Windows environment. On the basis of the coincidence relation between the spectrum signal ...A software system of pattern recognition on spectrum signal of metal transfer mode has been developed using Visual Basic under Windows environment. On the basis of the coincidence relation between the spectrum signal and metal transfer mode, according to the geometrical pattern feature of the spectrum signal, several key characteristic parameters are extracted. The correspondent recognition function and a minimum distance classifier have been constructed based on Bayesian decision theory. The results show that using this system, the metal transfer mode of MIG, MAG, CO2 welding can be recognized automatically which provides the basis for automatically controlling of the metal gas arc welding metal transfer.展开更多
The word control key is one of the applications of talker recognition. Chinese differs from English or Japanese, and the four Chinese tones are important characteristics,In this paper, the four Chinese tones are analy...The word control key is one of the applications of talker recognition. Chinese differs from English or Japanese, and the four Chinese tones are important characteristics,In this paper, the four Chinese tones are analysed and nine parameters are introduced. They are (1) the pitch period (2) the two parameters of the time length of talker pronounciation, (3) the pitch pattern gradinet (in 5 sections) and (4) the sum of spectral distances. Many Chinese words consist of one syllable, lt's combinationrules consist of single vowels, diphthongs or trinphtiogs.The spectrum of the vowel uses FFT in the medium frame.This method uses a group of input signals that consists of three input signal, and decides the logic “pass” or “out” .The experimental recognition ratio is over 90% for the reference talker, 7.2% for the other talker with the reference input word,and 0% for the other talker with random input words.展开更多
Proton nuclear magnetic resonance(NMR)spectroscopy provides a powerful tool for chemical profiling,also known as spectral fingerprinting,because of its inherent reproducibility.NMR is now increasing in use for authent...Proton nuclear magnetic resonance(NMR)spectroscopy provides a powerful tool for chemical profiling,also known as spectral fingerprinting,because of its inherent reproducibility.NMR is now increasing in use for authentication of complex materials.Typically,the absorbance spectrum is used that is obtained as the phase-corrected real component of the Fourier transform(FT)of the free induction decay(FID).However,the practice discards half the information that is available in the dispersion spectrum obtained as the imaginary component from the FT.For qualitative analysis or quantitative analysis of small sets of absorbance peaks,the symmetric and sharp peaks of the real spectra work well.However,for pattern recognition of entire spectra,trading peak resolution for peak reproducibility is beneficial.The absolute value of the complex spectrum gives the length or magnitude of magnetization vector in the complex plane;therefore,the magnitude relates directly to the signal(i.e.,induced magnetization).The magnitude spectrum is obtained as the absolute value from the real and imaginary spectral components after the FT of the FID.By breaking with tradition and using the magnitude spectrum the reproducibility of the spectra and consequent recognition rates can be improved.This study used a 500-MHz 1H NMR instrument to obtain spectra from 4 diverse datasets;12 tea extracts,8 liquor samples,9 hops extracts,and 25 Cannabis extracts.Six classifiers were statistically evaluated using 100 bootstrapped Latin partitions.The classifiers were a fuzzy rule-building expert system(FuRES)tree,support vector machine trees(SVMTreeG and SVMTreeH),a regularized linear discriminant analysis(LDA),super partial least squares discriminant analysis(sPLS-DA),and a one against all support vector machine(SVM).All classifiers gave better or equivalent results for the magnitude spectral representation than for the real spectra,except for one case of the 24 evaluations.In addition,the enhanced reproducibility of the absolute value spectra is demonstrated by comparisons of the pooled within sample standard deviations.For pattern recognition of NMR spectra,the magnitude spectrum is advocated.展开更多
A technique for the determination of tannin content in traditional Chinese medicine injections(TCMI)was developed based on ultraviolet(UV)spectroscopy.Chemometrics were used to construct a mathematical model of absorp...A technique for the determination of tannin content in traditional Chinese medicine injections(TCMI)was developed based on ultraviolet(UV)spectroscopy.Chemometrics were used to construct a mathematical model of absorption spectrum and tannin reference content of Danshen and Guanxinning injections,and the model was veried and applied.The results showed that the established UV-based spectral partial least squares regression(PLS)tannin content model performed well with a correlation coefficient(r)of 0.952,root mean square error of calibration(RMSEC)of 0.476g/ml,root mean square error of validation(RMSEV)of 1.171g/ml,and root mean square error of prediction(RMSEP)of 0.465g/ml.Pattern recognition models using linear discriminant analysis(LDA)and k nearest neighbor(k-NN)classiers based on UV spectrum could successfully classify different types of injections and different manufacturers.The established method to measure tannin content based on UV spectroscopy is simple,rapid and reliable and provides technical support for quality control of tannin in Chinese medicine injections.展开更多
文摘A software system of pattern recognition on spectrum signal of metal transfer mode has been developed using Visual Basic under Windows environment. On the basis of the coincidence relation between the spectrum signal and metal transfer mode, according to the geometrical pattern feature of the spectrum signal, several key characteristic parameters are extracted. The correspondent recognition function and a minimum distance classifier have been constructed based on Bayesian decision theory. The results show that using this system, the metal transfer mode of MIG, MAG, CO2 welding can be recognized automatically which provides the basis for automatically controlling of the metal gas arc welding metal transfer.
文摘The word control key is one of the applications of talker recognition. Chinese differs from English or Japanese, and the four Chinese tones are important characteristics,In this paper, the four Chinese tones are analysed and nine parameters are introduced. They are (1) the pitch period (2) the two parameters of the time length of talker pronounciation, (3) the pitch pattern gradinet (in 5 sections) and (4) the sum of spectral distances. Many Chinese words consist of one syllable, lt's combinationrules consist of single vowels, diphthongs or trinphtiogs.The spectrum of the vowel uses FFT in the medium frame.This method uses a group of input signals that consists of three input signal, and decides the logic “pass” or “out” .The experimental recognition ratio is over 90% for the reference talker, 7.2% for the other talker with the reference input word,and 0% for the other talker with random input words.
文摘Proton nuclear magnetic resonance(NMR)spectroscopy provides a powerful tool for chemical profiling,also known as spectral fingerprinting,because of its inherent reproducibility.NMR is now increasing in use for authentication of complex materials.Typically,the absorbance spectrum is used that is obtained as the phase-corrected real component of the Fourier transform(FT)of the free induction decay(FID).However,the practice discards half the information that is available in the dispersion spectrum obtained as the imaginary component from the FT.For qualitative analysis or quantitative analysis of small sets of absorbance peaks,the symmetric and sharp peaks of the real spectra work well.However,for pattern recognition of entire spectra,trading peak resolution for peak reproducibility is beneficial.The absolute value of the complex spectrum gives the length or magnitude of magnetization vector in the complex plane;therefore,the magnitude relates directly to the signal(i.e.,induced magnetization).The magnitude spectrum is obtained as the absolute value from the real and imaginary spectral components after the FT of the FID.By breaking with tradition and using the magnitude spectrum the reproducibility of the spectra and consequent recognition rates can be improved.This study used a 500-MHz 1H NMR instrument to obtain spectra from 4 diverse datasets;12 tea extracts,8 liquor samples,9 hops extracts,and 25 Cannabis extracts.Six classifiers were statistically evaluated using 100 bootstrapped Latin partitions.The classifiers were a fuzzy rule-building expert system(FuRES)tree,support vector machine trees(SVMTreeG and SVMTreeH),a regularized linear discriminant analysis(LDA),super partial least squares discriminant analysis(sPLS-DA),and a one against all support vector machine(SVM).All classifiers gave better or equivalent results for the magnitude spectral representation than for the real spectra,except for one case of the 24 evaluations.In addition,the enhanced reproducibility of the absolute value spectra is demonstrated by comparisons of the pooled within sample standard deviations.For pattern recognition of NMR spectra,the magnitude spectrum is advocated.
基金the State Administration of Traditional Chinese Medicine of Zhejiang Province Project(Grant No.2015ZQ022)Zhejiang TCM Health Science and Technology Project(Grant No.2015KYB110)Zhejiang Provincial Natural Science Foundation of China(Grant No.LY17B020002).
文摘A technique for the determination of tannin content in traditional Chinese medicine injections(TCMI)was developed based on ultraviolet(UV)spectroscopy.Chemometrics were used to construct a mathematical model of absorption spectrum and tannin reference content of Danshen and Guanxinning injections,and the model was veried and applied.The results showed that the established UV-based spectral partial least squares regression(PLS)tannin content model performed well with a correlation coefficient(r)of 0.952,root mean square error of calibration(RMSEC)of 0.476g/ml,root mean square error of validation(RMSEV)of 1.171g/ml,and root mean square error of prediction(RMSEP)of 0.465g/ml.Pattern recognition models using linear discriminant analysis(LDA)and k nearest neighbor(k-NN)classiers based on UV spectrum could successfully classify different types of injections and different manufacturers.The established method to measure tannin content based on UV spectroscopy is simple,rapid and reliable and provides technical support for quality control of tannin in Chinese medicine injections.
