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Cusp points and assembly changing motions in the PRR-PR-PRR planar parallel manipulator

Frontiers of Mechanical Engineering 2023, Volume 18, Issue 2, doi: 10.1007/s11465-022-0743-x

Abstract: By regarding the discriminant of the repeated roots of the quartic equation as an implicit function of

Keywords： planar parallel manipulator     assembly changing motions     cusp points     quartic polynomial     discriminantof repeated roots    

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The adoption of repeated measurement of variance analysis and Shapiro–Wilk test

Frontiers of Medicine 2022, Volume 16, Issue 4,   Pages 659-660 doi: 10.1007/s11684-021-0908-8

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Local uncorrelated local discriminant embedding for face recognition

Xiao-hu MA,Meng YANG,Zhao ZHANG

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 3,   Pages 212-223 doi: 10.1631/FITEE.1500255

Abstract: However, the extracted features also have overlapping discriminant information.of the statistical uncorrelated criterion is that it eliminates the redundancy among the extracted discriminantIn this paper, we introduce a novel feature extraction method called local uncorrelated local discriminantThe proposed approach can be seen as an extension of a local discriminant embedding (LDE) framework inwithout using principal component analysis to preprocess the original data, which avoids losing some discriminant

Keywords： Feature extraction     Local discriminant embedding     Local uncorrelated criterion     Face recognition    

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INTERFERENCE BY NON-HOST PLANT ROOTS AND ROOT EXUDATES IN THE INFECTION PROCESSES OF PHYTOPHTHORA NICOTIANAE

Frontiers of Agricultural Science and Engineering 2021, Volume 8, Issue 3,   Pages 447-459 doi: 10.15302/J-FASE-2021399

Abstract: The interactions between non-host roots and pathogens may be key in the inhibition of soilborne pathogensInteractions between fennel (Foeniculum vulgare) roots/root exudates and PhytophthoraThe roots of fennel attracted P. nicotianae zoospores and inhibited their motility andThese interspecific interactions between non-host roots and pathogens were found to be an important factor

Keywords： fennel and tobacco rotation     infection behavior     Phytophthora nicotianae     reactive oxygen species     vanillin    

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Answer for questions of repeated measurements of variance analysis and distribution test of data — Authors

Frontiers of Medicine 2022, Volume 16, Issue 4,   Pages 661-664 doi: 10.1007/s11684-021-0907-9

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Crushed rocks stabilized with organosilane and lignosulfonate in pavement unbound layers: Repeated load

Diego Maria BARBIERI, Inge HOFF, Chun-Hsing HO

Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 2,   Pages 412-424 doi: 10.1007/s11709-021-0700-5

Abstract: The beneficial effect offered by the additives was thoroughly evaluated by performing repeated load triaxialFurthermore, a finite element model was created to simulate the repeated load triaxial test by implementing

Keywords： organosilane     lignosulfonate     crushed rocks     pavement unbound layers     repeated load triaxial test     finite    

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An approach for mechanical fault classification based on generalized discriminant analysis

LI Wei-hua, SHI Tie-lin, YANG Shu-zi

Frontiers of Mechanical Engineering 2006, Volume 1, Issue 3,   Pages 292-298 doi: 10.1007/s11465-006-0022-2

Abstract: classification of complicated mechanical faults, an approach to multi-faults classification based on generalized discriminantCompared with linear discriminant analysis (LDA), generalized discriminant analysis (GDA), one of nonlineardiscriminant analysis methods, is more suitable for classifying the linear non-separable problem.

Keywords： generalized discriminant     non-separable     abnormality     classification     multi-faults classification    

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K+ and Na+ fluxes in roots of two Chinese Iris populations

Pinfang LI,Biao ZHANG

Frontiers of Agricultural Science and Engineering 2014, Volume 1, Issue 2,   Pages 144-149 doi: 10.15302/J-FASE-2014016

Abstract: However, the Na concentrations in both shoots and roots were lower for Xj than those for Bj.

Keywords： Iris lactea Pall. var. chinensis (Fisch.) Koidz     population     K+ and Na+     ion flux     non-invasive micro-test technique    

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Effect of repeated gonadotropin stimulation on ovarian reserves and proliferation of ovarian surface

Linlin LIANG, Bei XU, Guijin ZHU

Frontiers of Medicine 2009, Volume 3, Issue 2,   Pages 220-226 doi: 10.1007/s11684-009-0037-2

Abstract: This study aimed to evaluate the effect of repeated ovarian stimulation (OS) on the ovarian follicularA total of 75 mice were enrolled in this experiment and randomly assigned into three groups: repeatedRepeated ovarian stimulation also tended to decrease normal follicles of primary follicles (66.67%) andThe OSE cells adjacent to the antral follicles and corpus luteum (CL) in the repeated ovarian stimulatedHowever, repeated gonadotropin stimulation may have a negative effect on the ovarian follicular quality

Keywords： gonadotropin-releasing hormone     ovarian reserve     embryo developmental ability     ovarian surface epithelium    

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A New Two_dimensional Linear Discriminant Analysis Algori thmBased on Fuzzy Set Theory

Zheng Yujie,Yang Jingyu,Wu Xiaojun, Li Yongzhi

Strategic Study of CAE 2007, Volume 9, Issue 2,   Pages 49-53

Abstract:

2DLDA algorithm is based on2D matrices and overleaps the step of transforming the matrices into the corresponding vectors,which is done on conventional LDA algorithm.However,performance of recognition rate may always be degraded by the overlapping(outlier)samples et al in the field of pattern recognition.How to avoid these shortcomings and extract optimal features to improve the performance of recognition is a key step. In this paper,a new2DLDA algorithm,named fuzzy2DLDA,is proposed.Fuzzy k-nearest neighbour(FKNN) is implemented first to achieve the distribution information of original samples represented with fuzzy membership degrees and is incorporated into the process of feature extraction.The proposed algorithm inherits the virtue of conventional2DLDA and suppresses the shortcoming resulted by overlappin g(outlier)samples et al. Experimental results on AT&T face database demonstrate rec ognition rates of the proposed algorithm outperform that of conventional2DLDA and fisherface.

Keywords： two-dimensional linear discriminant analysis(2DLDA)     fuzzy two-dimensional linear    

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Evaluation and prediction of slope stability using machine learning approaches

Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 4,   Pages 821-833 doi: 10.1007/s11709-021-0742-8

Abstract: In this paper, the machine learning (ML) model is built for slope stability evaluation and meets the high precision and rapidity requirements in slope engineering. Different ML methods for the factor of safety (FOS) prediction are studied and compared hoping to make the best use of the large variety of existing statistical and ML regression methods collected. The data set of this study includes six characteristics, namely unit weight, cohesion, internal friction angle, slope angle, slope height, and pore water pressure ratio. The whole ML model is primarily divided into data preprocessing, outlier processing, and model evaluation. In the data preprocessing, the duplicated data are first removed, then the outliers are filtered by the LocalOutlierFactor method and finally, the data are standardized. 11 ML methods are evaluated for their ability to learn the FOS based on different input parameter combinations. By analyzing the evaluation indicators R 2, MAE, and MSE of these methods, SVM, GBR, and Bagging are considered to be the best regression methods. The performance and reliability of the nonlinear regression method are slightly better than that of the linear regression method. Also, the SVM-poly method is used to analyze the susceptibility of slope parameters.

Keywords： slope stability     factor of safety     regression     machine learning     repeated cross-validation    

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A Study on the Essence of Optimal Statistical Uncorrelated Discriminant Vectors

Wu Xiaojun,Yang Jingyu,Wang Shitong,Liu Tongming,Josef Kittler

Strategic Study of CAE 2004, Volume 6, Issue 2,   Pages 44-47

Abstract:

A study has been made on the essence of optimal set of uncorrelated discriminant vectors in this paperThus, the optimal discriminant vectors solved by conventional LDA methods are statistical uncorrelatedThe research indicates that the essence of the statistical uncorrelated discriminant transform is thewhitening transform plus conventional linear discriminant transform.The distinguished characteristic of the proposed method is that the obtained optimal discriminant vectors

Keywords： pattern recognition     feature extraction     disciminant analysis     generalized optimal set of discriminant    

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Ensemble enhanced active learning mixture discriminant analysis model and its application for semi-supervised Research Article

Weijun WANG, Yun WANG, Jun WANG, Xinyun FANG, Yuchen HE

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 12,   Pages 1814-1827 doi: 10.1631/FITEE.2200053

Abstract: As an indispensable part of process monitoring, the performance of relies heavily on the sufficiency of process knowledge. However, data labels are always difficult to acquire because of the limited sampling condition or expensive laboratory analysis, which may lead to deterioration of classification performance. To handle this dilemma, a new strategy is performed in which enhanced is employed to evaluate the value of each unlabeled sample with respect to a specific labeled dataset. Unlabeled samples with large values will serve as supplementary information for the training dataset. In addition, we introduce several reasonable indexes and criteria, and thus human labeling interference is greatly reduced. Finally, the effectiveness of the proposed method is evaluated using a numerical example and the Tennessee Eastman process.

Keywords： Semi-supervised     Active learning     Ensemble learning     Mixture discriminant analysis     Fault classification    

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Repeated batch fermentation with water recycling and cell separation for microbial lipid production

Yumei WANG, Wei LIU, Jie BAO

Frontiers of Chemical Science and Engineering 2012, Volume 6, Issue 4,   Pages 453-460 doi: 10.1007/s11705-012-1210-8

Abstract: In this study, the repeated batch fermentation was investigated for reducing waste water generated in

Keywords： batch fermentation     microbial lipid     Trichosporon cutaneum CX1     flocculation     waste water recycle    

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A novel multimode process monitoring method integrating LDRSKM with Bayesian inference

Shi-jin REN,Yin LIANG,Xiang-jun ZHAO,Mao-yun YANG

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 8,   Pages 617-633 doi: 10.1631/FITEE.1400263

Abstract: A local discriminant regularized soft -means (LDRSKM) method with Bayesian inference is proposed foralgorithm by exploiting the local and non-local geometric information of the data and generalized linear discriminant

Keywords： Multimode process monitoring     Local discriminant regularized soft k-means clustering     Kernel support    

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Title Author Date Type Operation

Cusp points and assembly changing motions in the PRR-PR-PRR planar parallel manipulator

Journal Article

The adoption of repeated measurement of variance analysis and Shapiro–Wilk test

Journal Article

Local uncorrelated local discriminant embedding for face recognition

Xiao-hu MA,Meng YANG,Zhao ZHANG

Journal Article

INTERFERENCE BY NON-HOST PLANT ROOTS AND ROOT EXUDATES IN THE INFECTION PROCESSES OF PHYTOPHTHORA NICOTIANAE

Journal Article

Answer for questions of repeated measurements of variance analysis and distribution test of data — Authors

Journal Article

Crushed rocks stabilized with organosilane and lignosulfonate in pavement unbound layers: Repeated load

Diego Maria BARBIERI, Inge HOFF, Chun-Hsing HO

Journal Article

An approach for mechanical fault classification based on generalized discriminant analysis

LI Wei-hua, SHI Tie-lin, YANG Shu-zi

Journal Article

K+ and Na+ fluxes in roots of two Chinese Iris populations

Pinfang LI,Biao ZHANG

Journal Article

Effect of repeated gonadotropin stimulation on ovarian reserves and proliferation of ovarian surface

Linlin LIANG, Bei XU, Guijin ZHU

Journal Article

A New Two_dimensional Linear Discriminant Analysis Algori thmBased on Fuzzy Set Theory

Zheng Yujie,Yang Jingyu,Wu Xiaojun, Li Yongzhi

Journal Article

Evaluation and prediction of slope stability using machine learning approaches

Journal Article

A Study on the Essence of Optimal Statistical Uncorrelated Discriminant Vectors

Wu Xiaojun,Yang Jingyu,Wang Shitong,Liu Tongming,Josef Kittler

Journal Article

Ensemble enhanced active learning mixture discriminant analysis model and its application for semi-supervised

Weijun WANG, Yun WANG, Jun WANG, Xinyun FANG, Yuchen HE

Journal Article

Repeated batch fermentation with water recycling and cell separation for microbial lipid production

Yumei WANG, Wei LIU, Jie BAO

Journal Article

A novel multimode process monitoring method integrating LDRSKM with Bayesian inference

Shi-jin REN,Yin LIANG,Xiang-jun ZHAO,Mao-yun YANG

Journal Article