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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: Although principal component analysis (PCA) can be used to mitigate these two problems, the transformedIn this paper, we analyze the impact of PCA on NMF, and find that multiplicative NMF can also be applicableto data after principal component transformation.Based 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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Indoor carbonyl compounds in an academic building in Beijing, China: concentrations and influencing factors

Chuanjia JIANG, Pengyi ZHANG

Frontiers of Environmental Science & Engineering 2012, Volume 6, Issue 2,   Pages 184-194 doi: 10.1007/s11783-011-0309-3

Abstract: Principal component analysis identified a combined effect of common indoor carbonyl sources and ventilation

Keywords： carbonyl compounds     indoor air     ventilation     human occupancy     source emission rate (SER)     principal componentanalysis (PCA)    

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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).

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

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Predicting non-carcinogenic hazard quotients of heavy metals in pepper (

Marzieh Mokarram, Hamid Reza Pourghasemi, Huichun Zhang

Frontiers of Environmental Science & Engineering 2020, Volume 14, Issue 6, doi: 10.1007/s11783-020-1331-0

Abstract: . • PCA and random search can select the main spectra and predict THQ for each element.Based on the relevant spectral bands identified by principal component analysis (PCA) and random searchThe results of PCA and random search indicated that the spectra at the bands of b570, b650, and b760Therefore, in future studies, instead of examining the amount of heavy metals in plants by chemical analysis

Keywords： Heavy metals     Plants     Target Hazard Quotient (THQ)     Principal Component Analysis (PCA)     Random search     Electromagnetic    

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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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Interaction and independence on methane oxidation of landfill cover soil among three impact factors: water, oxygen and ammonium

Pinjing HE, Na YANG, Wenjuan FANG, Fan Lü, Liming SHAO

Frontiers of Environmental Science & Engineering 2011, Volume 5, Issue 2,   Pages 175-185 doi: 10.1007/s11783-011-0320-8

Abstract: Canonical correspondence analysis was utilized to distinguish the important impact factors.

Keywords： quantitative polymerase chain reaction (PCR)     denaturing gradient gel electrophoresis (DGGE)     principalcomponent analysis (PCA)     canonical correspondence analysis (CCA)    

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A systematic approach in load disaggregation utilizing a multi-stage classification algorithm for consumer electrical appliances classification

Chuan Choong YANG, Chit Siang SOH, Vooi Voon YAP

Frontiers in Energy 2019, Volume 13, Issue 2,   Pages 386-398 doi: 10.1007/s11708-017-0497-z

Abstract: cropping and image pyramid reduction of the - trajectory plot template images before utilizing the principalcomponent analysis (PCA) and the -nearest neighbor ( -NN) algorithm.

Keywords： disaggregation     voltage-current (V-I) trajectory     multi-stage classification algorithm     principalcomponent analysis (PCA)     k-nearest neighbor (k-NN)    

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Using hybrid models to predict blood pressure reactivity to unsupported back based on anthropometric characteristics

Gurmanik KAUR,Ajat Shatru ARORA,Vijender Kumar JAIN

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 6,   Pages 474-485 doi: 10.1631/FITEE.1400295

Abstract: In this work, principal component analysis (PCA) is fused with forward stepwise regression (SWR), artificialPCA is used to remove multi-collinearity among anthropometric predictor variables and to select a subsetof components, termed ‘principal components’ (PCs), from the original dataset.performance of the constructed models, using appropriate statistical indices, shows clearly that a PCA-basedLS-SVM (PCA-LS-SVM) model is a promising approach for the prediction of BP reactivity in comparison

Keywords： Blood pressure (BP)     Principal component analysis (PCA)     Forward stepwise regression     Artificial neural    

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

Wang Conglu,Wu Chao,Duan Yu

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

Abstract: 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.results of mine area farmland heavy metal pollution quality assessed and classified with synthetic component

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

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Indicating landfill stabilization state by using leachate property from Laogang Refuse Landfill

LOU Ziyang,CHAI Xiaoli,ZHAO Youcai,SONG Yu,ZHU Nanwen,JIA Jinping

Frontiers of Environmental Science & Engineering 2014, Volume 8, Issue 3,   Pages 405-410 doi: 10.1007/s11783-013-0565-5

Abstract: Simultaneously, principal component analysis (PCA) was applied to develop a synthetic parameter-F based

Keywords： landfill stabilization     leachate evolution     principal component analysis    

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A dynamic stiffness-based framework for harmonic input estimation and response reconstruction considering damage

Yixian LI; Limin SUN; Wang ZHU; Wei ZHANG

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 4,   Pages 448-460 doi: 10.1007/s11709-022-0805-5

Abstract: The principal component analysis has been adopted to “compress” the under-determined equation, and formed

Keywords： dynamic stiffness     principal component analysis     response reconstruction     damage localization     under-determined    

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Relationships of nitrous oxide fluxes with water quality parameters in free water surface constructed wetlands

Juan WU, Jian ZHANG, Wenlin JIA, Huijun XIE, Bo ZHANG

Frontiers of Environmental Science & Engineering 2009, Volume 3, Issue 2,   Pages 241-247 doi: 10.1007/s11783-009-0023-6

Abstract: relationships between N O and the chemical and physical water quality variables were studied by using principalcomponent scores in multiple linear regression analysis to predict N O flux.The multiple linear regression model against principal components indicated that different water parameters

Keywords： free water surface constructed wetland     nitrous oxide emission     water quality parameter     principal componentanalysis     multiple linear regression    

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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: To 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 optimizedIt 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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Title Author Date Type Operation

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

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

Journal Article

Indoor carbonyl compounds in an academic building in Beijing, China: concentrations and influencing factors

Chuanjia JIANG, Pengyi ZHANG

Journal Article

Regional wind power forecasting model with NWP grid data optimized

Zhao WANG, Weisheng WANG, Bo WANG

Journal Article

Predicting non-carcinogenic hazard quotients of heavy metals in pepper (

Marzieh Mokarram, Hamid Reza Pourghasemi, Huichun Zhang

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

Interaction and independence on methane oxidation of landfill cover soil among three impact factors: water, oxygen and ammonium

Pinjing HE, Na YANG, Wenjuan FANG, Fan Lü, Liming SHAO

Journal Article

A systematic approach in load disaggregation utilizing a multi-stage classification algorithm for consumer electrical appliances classification

Chuan Choong YANG, Chit Siang SOH, Vooi Voon YAP

Journal Article

Using hybrid models to predict blood pressure reactivity to unsupported back based on anthropometric characteristics

Gurmanik KAUR,Ajat Shatru ARORA,Vijender Kumar JAIN

Journal Article

AED-Net: An Abnormal Event Detection Network

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

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

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

Wang Conglu,Wu Chao,Duan Yu

Journal Article

Indicating landfill stabilization state by using leachate property from Laogang Refuse Landfill

LOU Ziyang,CHAI Xiaoli,ZHAO Youcai,SONG Yu,ZHU Nanwen,JIA Jinping

Journal Article

A dynamic stiffness-based framework for harmonic input estimation and response reconstruction considering damage

Yixian LI; Limin SUN; Wang ZHU; Wei ZHANG

Journal Article

Relationships of nitrous oxide fluxes with water quality parameters in free water surface constructed wetlands

Juan WU, Jian ZHANG, Wenlin JIA, Huijun XIE, Bo ZHANG

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