In recent years,molecular identification technology has become the predominant approach for the identification of traditional Chinese medicine.The molecular identification techniques in recent years were analyzed and ...In recent years,molecular identification technology has become the predominant approach for the identification of traditional Chinese medicine.The molecular identification techniques in recent years were analyzed and summarized in this paper,such as RAPD,ISSR,RFLP,AFLP,SNP,and DNA bar code sequence analysis techniques.By consulting Sciencedirect databases and Web of Science databases,2348 related articles were found,of which 39 were related to molecular identification techniques and traditional Chinese medicine.The application of the molecular identification techniques in four aspects was reviewed,namely the identification on the authenticity(true or false),multi-source identification and genetic diversity,producing area,and growing year discrimination of traditional Chinese medicine.展开更多
There are a total of more than 40 reported maize viral diseases worldwide. Five of them have reportedly occurred in China. They are maize rough dwarf disease, maize dwarf mosaic disease, maize streak dwarf disease, ma...There are a total of more than 40 reported maize viral diseases worldwide. Five of them have reportedly occurred in China. They are maize rough dwarf disease, maize dwarf mosaic disease, maize streak dwarf disease, maize crimson leaf disease, maize wallaby ear disease and corn lethal necrosis disease. This paper reviewed their occurrence and distribution as well as virus identification techniques in order to provide a basis for virus identification and diagnosis in corn production.展开更多
In this paper, we propose a feasible QP-free method for solving nonlinear inequality constrained optimization problems. A new working set is proposed to estimate the active set. Specially, to determine the working set...In this paper, we propose a feasible QP-free method for solving nonlinear inequality constrained optimization problems. A new working set is proposed to estimate the active set. Specially, to determine the working set, the new method makes use of the multiplier information from the previous iteration, eliminating the need to compute a multiplier function. At each iteration, two or three reduced symmetric systems of linear equations with a common coefficient matrix involving only constraints in the working set are solved, and when the iterate is sufficiently close to a KKT point, only two of them are involved. Moreover, the new algorithm is proved to be globally convergent to a KKT point under mild conditions. Without assuming the strict complementarity, the convergence rate is superlinear under a condition weaker than the strong second-order sufficiency condition. Numerical experiments illustrate the efficiency of the algorithm.展开更多
Based on measured natural frequencies and acceleration responses,a non-probabilistic information fusion technique is proposed for the structural damage detection by adopting the set-membership identification（SMI） an...Based on measured natural frequencies and acceleration responses,a non-probabilistic information fusion technique is proposed for the structural damage detection by adopting the set-membership identification（SMI） and twostep model updating procedure.Due to the insufficiency and uncertainty of information obtained from measurements,the uncertain problem of damage identification is addressed with interval variables in this paper.Based on the first-order Taylor series expansion,the interval bounds of the elemental stiffness parameters in undamaged and damaged models are estimated,respectively.The possibility of damage existence（PoDE） in elements is proposed as the quantitative measure of structural damage probability,which is more reasonable in the condition of insufficient measurement data.In comparison with the identification method based on a single kind of information,the SMI method will improve the accuracy in damage identification,which reflects the information fusion concept based on the non-probabilistic set.A numerical example is performed to demonstrate the feasibility and effectiveness of the proposed technique.展开更多
A method of damage identification for engineering structures based on ambient vibration is put forward, in which output data are used only. Firstly, it was identification of the statistic parameters to associate with ...A method of damage identification for engineering structures based on ambient vibration is put forward, in which output data are used only. Firstly, it was identification of the statistic parameters to associate with the exterior excitation for undamaged structures. Then it was detection and location of the structural damages for damaged structures. The ambient identification method includes a theoretical model and numerical method. The numerical experiment results show the method is precise and effective. This method may be used in health monitoring for bridges and architectures.展开更多
In this paper,the traditional identification and modern identification technology of Cnidii Fructus and its adulterant were reviewed,and their advantages,disadvantages and practicability were summarized,to provide a r...In this paper,the traditional identification and modern identification technology of Cnidii Fructus and its adulterant were reviewed,and their advantages,disadvantages and practicability were summarized,to provide a reference for the rapid and accurate identification and quality evaluation of Cnidii Fructus.展开更多
Electrocardiograms(ECGs)have the potential to be used as a reliable source of information for human identityrecognition due to their universality,portability,and unique and stable biological identification features.Th...Electrocardiograms(ECGs)have the potential to be used as a reliable source of information for human identityrecognition due to their universality,portability,and unique and stable biological identification features.This method enriches and refines existing biometric identification techniques,and is suitable for customer identity identification in the insurance industry.This article has the following objectives:1)to introduce biometric identification techniques commonly used in the insurance industry,including ECG biometric identification techniques,and their advantages;2)to discuss major aspects of ECG biometric identification techniques;3)to systematically review the most recent advances in ECG identification and extraction characteristics from research in China and other countries;4)to outline the technical aspects of using ECGs for recognizing client identity in the insurance industry;and 5)to discuss the future of ECGs in identity recognition.This article is aimed at further promoting the application of living personal ECG iden-tification techniques in the insurance industry,and extending it to areas including medical insurance,banking,justice,public security,military,government,enterprises,and other departments and areas in which identification is needed to promote social stability and national security.展开更多
We present near-infrared spectroscopic and photometric observations of nova V5584 Sgr taken during the first 12 d following its discovery on Oct. 26.439 UT2009. The evolution of the spectra is shown from the initial P...We present near-infrared spectroscopic and photometric observations of nova V5584 Sgr taken during the first 12 d following its discovery on Oct. 26.439 UT2009. The evolution of the spectra is shown from the initial P Cygni phase to an emission line phase. The prominent carbon lines seen in the JHK spectra closely match those observed in an Fe II class nova outburst. The spectra show first-overtone CO bands in emission between 2.29-2.40 μm. By examining WISE and other publicly available data, we show that the nova underwent a pronounced dust formation phase between February- April 2010.展开更多
This paper proposes a novel intelligent fault detection method,i.e.,combining the subspace identification technique(SIT)with the data-model interactive compensation mechanism for fault detection.More precisely,the des...This paper proposes a novel intelligent fault detection method,i.e.,combining the subspace identification technique(SIT)with the data-model interactive compensation mechanism for fault detection.More precisely,the design process is divided into two primary stages:offline learning process and real-time fault monitoring.In the offline learning phase,the fault isolation algorithm is employed,along with parameter identification using the subspace identification technique.Then the online data undergo normalization processing and are subjected to online fault detection using a trained offline model.In addition,considering the accuracy of fault detection,this paper designs the dynamic optimal threshold based on the fault detection rate(FDR)and the false alarm rate(FAR).In the end,the case studies on PT700 and Tennessee Eastman(TE)process data are provided to confirm that the proposed method achieves the fault detection objectives.展开更多
基金supported by National Nature Science Foundation of China(81973284)Scientific Research Foundation of the Education Department of Liaoning Province(LJKZ0944).
文摘In recent years,molecular identification technology has become the predominant approach for the identification of traditional Chinese medicine.The molecular identification techniques in recent years were analyzed and summarized in this paper,such as RAPD,ISSR,RFLP,AFLP,SNP,and DNA bar code sequence analysis techniques.By consulting Sciencedirect databases and Web of Science databases,2348 related articles were found,of which 39 were related to molecular identification techniques and traditional Chinese medicine.The application of the molecular identification techniques in four aspects was reviewed,namely the identification on the authenticity(true or false),multi-source identification and genetic diversity,producing area,and growing year discrimination of traditional Chinese medicine.
基金Supported by the Finance Department of Hebei Province(A2012120104)
文摘There are a total of more than 40 reported maize viral diseases worldwide. Five of them have reportedly occurred in China. They are maize rough dwarf disease, maize dwarf mosaic disease, maize streak dwarf disease, maize crimson leaf disease, maize wallaby ear disease and corn lethal necrosis disease. This paper reviewed their occurrence and distribution as well as virus identification techniques in order to provide a basis for virus identification and diagnosis in corn production.
基金This work is supported by the National Natural Science Foundation of China （10571109）.
文摘In this paper, we propose a feasible QP-free method for solving nonlinear inequality constrained optimization problems. A new working set is proposed to estimate the active set. Specially, to determine the working set, the new method makes use of the multiplier information from the previous iteration, eliminating the need to compute a multiplier function. At each iteration, two or three reduced symmetric systems of linear equations with a common coefficient matrix involving only constraints in the working set are solved, and when the iterate is sufficiently close to a KKT point, only two of them are involved. Moreover, the new algorithm is proved to be globally convergent to a KKT point under mild conditions. Without assuming the strict complementarity, the convergence rate is superlinear under a condition weaker than the strong second-order sufficiency condition. Numerical experiments illustrate the efficiency of the algorithm.
基金supported by the Specialized Research Fund for the Doctoral Program of Higher Education (20091102120023)the Aeronautical Science Foundation of China (2012ZA51010)+1 种基金the National Natural Science Foundation of China (11002013)Defense Industrial Technology Development Program (A2120110001 and B2120110011)
文摘Based on measured natural frequencies and acceleration responses,a non-probabilistic information fusion technique is proposed for the structural damage detection by adopting the set-membership identification（SMI） and twostep model updating procedure.Due to the insufficiency and uncertainty of information obtained from measurements,the uncertain problem of damage identification is addressed with interval variables in this paper.Based on the first-order Taylor series expansion,the interval bounds of the elemental stiffness parameters in undamaged and damaged models are estimated,respectively.The possibility of damage existence（PoDE） in elements is proposed as the quantitative measure of structural damage probability,which is more reasonable in the condition of insufficient measurement data.In comparison with the identification method based on a single kind of information,the SMI method will improve the accuracy in damage identification,which reflects the information fusion concept based on the non-probabilistic set.A numerical example is performed to demonstrate the feasibility and effectiveness of the proposed technique.
文摘A method of damage identification for engineering structures based on ambient vibration is put forward, in which output data are used only. Firstly, it was identification of the statistic parameters to associate with the exterior excitation for undamaged structures. Then it was detection and location of the structural damages for damaged structures. The ambient identification method includes a theoretical model and numerical method. The numerical experiment results show the method is precise and effective. This method may be used in health monitoring for bridges and architectures.
文摘In this paper,the traditional identification and modern identification technology of Cnidii Fructus and its adulterant were reviewed,and their advantages,disadvantages and practicability were summarized,to provide a reference for the rapid and accurate identification and quality evaluation of Cnidii Fructus.
基金This study was supported by grants from the Henan Medical Science and Technology Research Program Project(grant No.LHGJ20210390)Henan Medical Education Research Project(grant No.Wjlx2021308).
文摘Electrocardiograms(ECGs)have the potential to be used as a reliable source of information for human identityrecognition due to their universality,portability,and unique and stable biological identification features.This method enriches and refines existing biometric identification techniques,and is suitable for customer identity identification in the insurance industry.This article has the following objectives:1)to introduce biometric identification techniques commonly used in the insurance industry,including ECG biometric identification techniques,and their advantages;2)to discuss major aspects of ECG biometric identification techniques;3)to systematically review the most recent advances in ECG identification and extraction characteristics from research in China and other countries;4)to outline the technical aspects of using ECGs for recognizing client identity in the insurance industry;and 5)to discuss the future of ECGs in identity recognition.This article is aimed at further promoting the application of living personal ECG iden-tification techniques in the insurance industry,and extending it to areas including medical insurance,banking,justice,public security,military,government,enterprises,and other departments and areas in which identification is needed to promote social stability and national security.
基金funded by the Department of Space, Government of India
文摘We present near-infrared spectroscopic and photometric observations of nova V5584 Sgr taken during the first 12 d following its discovery on Oct. 26.439 UT2009. The evolution of the spectra is shown from the initial P Cygni phase to an emission line phase. The prominent carbon lines seen in the JHK spectra closely match those observed in an Fe II class nova outburst. The spectra show first-overtone CO bands in emission between 2.29-2.40 μm. By examining WISE and other publicly available data, we show that the nova underwent a pronounced dust formation phase between February- April 2010.
基金supported by the National Natural Science Foundation of China(Nos.62273058 and U22A2045)the Youth Science and Technology Innovation and Entrepreneurship Outstanding Talents Project of Jilin Province(No.20230508043RC)the Industrial Technology and Development Special Project of Jilin Provincial Development and Reform Commission(No.2024C008-2).
文摘This paper proposes a novel intelligent fault detection method,i.e.,combining the subspace identification technique(SIT)with the data-model interactive compensation mechanism for fault detection.More precisely,the design process is divided into two primary stages:offline learning process and real-time fault monitoring.In the offline learning phase,the fault isolation algorithm is employed,along with parameter identification using the subspace identification technique.Then the online data undergo normalization processing and are subjected to online fault detection using a trained offline model.In addition,considering the accuracy of fault detection,this paper designs the dynamic optimal threshold based on the fault detection rate(FDR)and the false alarm rate(FAR).In the end,the case studies on PT700 and Tennessee Eastman(TE)process data are provided to confirm that the proposed method achieves the fault detection objectives.
