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Research of mine farmland heavy metal pollution assessment basedon synthetic principal component analysismodel

Wang Conglu,Wu Chao,Duan Yu

Strategic Study of CAE 2008, Volume 10, Issue 7,   Pages 180-183

Abstract: and classification were done to the mine area farmland heavy metal pollution situation by syntheticprincipal components analysis (PCA) .The study result implied that variable clustering analysis is efficient to identify the principal componentsof mine area farmland heavy metal pollution.Sort and clustering were done to the synthetic principalcomponents scores of soil sample, which is given by synthetic principal components analysis.

Keywords： synthetic principal components analysis model     mine region soils     heavy metal pollution     assessment    

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Research on a comprehensive evaluation model on the choice of M&A targets based on principal componentialanalysis

Luo Yixin

Strategic Study of CAE 2009, Volume 11, Issue 11,   Pages 92-96

Abstract: text-align: justify;">This paper puts forward a comprehensive choice and evaluation index system and a modelbased on principal componential analysis, and presents exact calculation and analysis with an exampleresults prove the feasibility of the above-mentioned evaluation index system and the selection evaluation model

Keywords： principal componential analysis     M&A     target choice     evaluation index system     evaluation model    

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Determination of the principal factors of river water quality through cluster analysis method and its

Liang GUO, Ying ZHAO, Peng WANG

Frontiers of Environmental Science & Engineering 2012, Volume 6, Issue 2,   Pages 238-245 doi: 10.1007/s11783-011-0382-7

Abstract: In this paper, an artificial neural network model was built to predict the Chemical Oxygen Demand (CODTo enhance the prediction accuracy, principal factors were determined through the analysis of the weightrelation between influencing factors and forecasting object using cluster analysis method, which optimizedthe topological structure of the prediction model input items of the artificial neural network.It was shown that application of the principal factors in water quality prediction model can improve

Keywords： water quality forecast     principal factor     cluster analysis method     artificial neural network    

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Regional wind power forecasting model with NWP grid data optimized

Zhao WANG, Weisheng WANG, Bo WANG

Frontiers in Energy 2017, Volume 11, Issue 2,   Pages 175-183 doi: 10.1007/s11708-017-0471-9

Abstract: criterion of minimal-redundancy-maximal-relevance (mRMR), while the latter does so based on the method of principalcomponent analysis (PCA).The proposed model is simple and easy to use with parameters optimized automatically.

Keywords： regional wind power forecasting     feature set     minimal-redundancy-maximal-relevance (mRMR)     principal componentanalysis (PCA)     locally weighted learning model    

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Multi-objective optimization of cutting parameters in high-speed milling based on grey relational analysiscoupled with principal component analysis

Tao FU, Jibin ZHAO, Weijun LIU

Frontiers of Mechanical Engineering 2012, Volume 7, Issue 4,   Pages 445-452 doi: 10.1007/s11465-012-0338-z

Abstract: In this study, the optimum cutting parameters are obtained by the grey relational analysis.Moreover, the principal component analysis is applied to evaluate the weights so that their relativeThe results of experiments show that grey relational analysis coupled with principal component analysis

Keywords： high-speed milling     grey relational analysis     principal component analysis     parameters optimization    

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Analysis of the Quality of Daily DEM Generation with Geosynchronous InSAR Article

Zefa Yang, Qingjun Zhang, Xiaoli Ding, Wu Chen

Engineering 2020, Volume 6, Issue 8,   Pages 913-918 doi: 10.1016/j.eng.2020.07.003

Abstract:

Up-to-date digital elevation model (DEM) products are essential in many fields such as hazards mitigationAirborne and low-earth-orbit (LEO) space-borne interferometric synthetic aperture radar (InSAR) has beenGeosynchronous synthetic aperture radar (GEOSAR) satellites fly in geostationary earth orbits, allowingthe accuracy of a daily GEOSAR DEM is generally much lower than what can be achieved with typical LEO synthetic

Keywords： Daily digital elevation model     Interferometric synthetic aperture radar     Geosynchronous synthetic apertureradar     Accuracy analysis    

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Non-negativematrix factorization based unmixing for principal component transformed hyperspectral data

Xiu-rui GENG,Lu-yan JI,Kang SUN

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 5,   Pages 403-412 doi: 10.1631/FITEE.1600028

Abstract: Non-negative matrix factorization (NMF) has been widely used in mixture analysis for hyperspectral remoteWhen used for spectral unmixing analysis, however, it has two main shortcomings: (1) since the dimensionalityAlthough principal component analysis (PCA) can be used to mitigate these two problems, the transformedBased on this conclusion, we present a method to perform NMF in the principal component space, named‘principal component NMF’ (PCNMF).

Keywords： Non-negative matrix factorization (NMF)     Principal component analysis (PCA)     Endmember     Hyperspectral    

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Reliability-based robust design optimization of vehicle components, Part I: Theory

Yimin ZHANG

Frontiers of Mechanical Engineering 2015, Volume 10, Issue 2,   Pages 138-144 doi: 10.1007/s11465-015-0333-2

Abstract:

The reliability-based design optimization, the reliability sensitivity analysis and robust designpresent a practical and effective approach for reliability-based robust design optimization of vehicle componentsA procedure for reliability-based robust design optimization of vehicle components is proposed.the proposed method can be trusted to perform reliability-based robust design optimization of vehicle components

Keywords： vehicle components     reliability-based design optimization     reliability-based sensitivity analysis     multi-objective    

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Static-based early-damage detection using symbolic data analysis and unsupervised learning methods

João Pedro SANTOS,Christian CREMONA,André D. ORCESI,Paulo SILVEIRA,Luis CALADO

Frontiers of Structural and Civil Engineering 2015, Volume 9, Issue 1,   Pages 1-16 doi: 10.1007/s11709-014-0277-3

Abstract: the global character inherent to the limited number of modal properties issued from operational modal analysisproposed, consisting of the combination of advanced statistical and machine learning methods such as principalcomponent analysis, symbolic data analysis and cluster analysis.From this analysis it was observed that, under the noise levels measured on site, the proposed strategy

Keywords： structural health monitoring     early-damage detection     principal component analysis     symbolic data     symbolicdissimilarity measures     cluster analysis     numerical model     damage simulations    

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LC-ELSD analysis for simultaneous determination of five components in the Xue-Fu-Zhu-Yu capsules

Ying GAO, Wenyuan GAO, Xuan DONG, Fengge LI, Xinying YANG,

Frontiers of Chemical Science and Engineering 2010, Volume 4, Issue 1,   Pages 96-101 doi: 10.1007/s11705-009-0309-z

Abstract: Recoveries of the five components varied from 97.31% to 99.84% (RSD<4.0%).

Keywords： chromatographic separation     prescription     Symmetry     chromatography     evaporative    

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AED-Net: An Abnormal Event Detection Network Article

Tian Wang, Zichen Miao, Yuxin Chen, Yi Zhou, Guangcun Shan, Hichem Snoussi

Engineering 2019, Volume 5, Issue 5,   Pages 930-939 doi: 10.1016/j.eng.2019.02.008

Abstract: self-supervised framework called the abnormal event detection network (AED-Net), which is composed of a principalcomponent analysis network (PCAnet) and kernel principal component analysis (kPCA), is proposed to address

Keywords： Abnormal events detection     Abnormal event detection network     Principal component analysis network     Kernelprincipal component analysis    

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Reliability-based robust design optimization of vehicle components, Part II: Case studies

Yimin ZHANG

Frontiers of Mechanical Engineering 2015, Volume 10, Issue 2,   Pages 145-153 doi: 10.1007/s11465-015-0334-1

Abstract:

The reliability-based optimization, the reliability-based sensitivity analysis and robust design methodemployed to propose an effective approach for reliability-based robust design optimization of vehicle componentsApplications of the method are further discussed for reliability-based robust optimization of vehicle componentsproposed method is an efficient method for reliability-based robust design optimization of vehicle components

Keywords： vehicle axles and springs     reliability-based design optimization     reliability-based sensitivity analysis    

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Principle of maximum entropy for reliability analysis in the design of machine components

Yimin ZHANG

Frontiers of Mechanical Engineering 2019, Volume 14, Issue 1,   Pages 21-32 doi: 10.1007/s11465-018-0512-z

Abstract: We studied the reliability of machine components with parameters that follow an arbitrary statisticalWe also established a probability density function (PDF) and a failure probability model for the parametersof mechanical components using the concept of entropy and the PME.We obtained the first four moments of the state function for reliability analysis and design.This function was used to calculate the reliability of the machine components, including a connecting

Keywords： machine components     reliability     arbitrary distribution parameter     principle of maximum entropy    

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in Qinba Mountain Area Study on the Development of Forestry Industry in Qinba Mountain Area Based on PrincipalComponent Analysis

Zheng Donghui, Hou Hua, Zhai Mingpu, Qu Mei

Strategic Study of CAE 2020, Volume 22, Issue 1,   Pages 120-126 doi: 10.15302/J-SSCAE-2020.01.013

Abstract: The paper uses expert questionnaires and principal component analysis to identify the factors that have

Keywords： Qinba Mountain Area     forestry industry     SWOT method     principal component analysis     ecological environment    

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Performance analysis of combined cycle power plant

Nikhil DEV,Rajesh ATTRI

Frontiers in Energy 2015, Volume 9, Issue 4,   Pages 371-386 doi: 10.1007/s11708-015-0371-9

Abstract: Exergetic and energetic analysis of each component of the seven configurations is conducted with theThe thermodynamics analysis indicates that the exergy destruction in various components of the combined

Keywords： first-law     second-law     exergy destruction     components    

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Title Author Date Type Operation

Research of mine farmland heavy metal pollution assessment basedon synthetic principal component analysismodel

Wang Conglu,Wu Chao,Duan Yu

Journal Article

Research on a comprehensive evaluation model on the choice of M&A targets based on principal componentialanalysis

Luo Yixin

Journal Article

Determination of the principal factors of river water quality through cluster analysis method and its

Liang GUO, Ying ZHAO, Peng WANG

Journal Article

Regional wind power forecasting model with NWP grid data optimized

Zhao WANG, Weisheng WANG, Bo WANG

Journal Article

Multi-objective optimization of cutting parameters in high-speed milling based on grey relational analysiscoupled with principal component analysis

Tao FU, Jibin ZHAO, Weijun LIU

Journal Article

Analysis of the Quality of Daily DEM Generation with Geosynchronous InSAR

Zefa Yang, Qingjun Zhang, Xiaoli Ding, Wu Chen

Journal Article

Non-negativematrix factorization based unmixing for principal component transformed hyperspectral data

Xiu-rui GENG,Lu-yan JI,Kang SUN

Journal Article

Reliability-based robust design optimization of vehicle components, Part I: Theory

Yimin ZHANG

Journal Article

Static-based early-damage detection using symbolic data analysis and unsupervised learning methods

João Pedro SANTOS,Christian CREMONA,André D. ORCESI,Paulo SILVEIRA,Luis CALADO

Journal Article

LC-ELSD analysis for simultaneous determination of five components in the Xue-Fu-Zhu-Yu capsules

Ying GAO, Wenyuan GAO, Xuan DONG, Fengge LI, Xinying YANG,

Journal Article

AED-Net: An Abnormal Event Detection Network

Tian Wang, Zichen Miao, Yuxin Chen, Yi Zhou, Guangcun Shan, Hichem Snoussi

Journal Article

Reliability-based robust design optimization of vehicle components, Part II: Case studies

Yimin ZHANG

Journal Article

Principle of maximum entropy for reliability analysis in the design of machine components

Yimin ZHANG

Journal Article

in Qinba Mountain Area Study on the Development of Forestry Industry in Qinba Mountain Area Based on PrincipalComponent Analysis

Zheng Donghui, Hou Hua, Zhai Mingpu, Qu Mei

Journal Article

Performance analysis of combined cycle power plant

Nikhil DEV,Rajesh ATTRI

Journal Article