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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 b760

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

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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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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: To understand the influence patterns and interactions of three important environmental factors, i.e. soil water content, oxygen concentration, and ammonium addition, on methane oxidation, the soils from landfill cover layers were incubated under full factorial parameter settings. In addition to the methane oxidation rate, the quantities and community structures of methanotrophs were analyzed to determine the methane oxidation capacity of the soils. Canonical correspondence analysis was utilized to distinguish the important impact factors. Water content was found to be the most important factor influencing the methane oxidation rate and Type II methanotrophs, and the optimum value was 15% (w/w), which induced methane oxidation rates 10- and 6- times greater than those observed at 5% (w/w) and 20% (w/w), respectively. Ambient oxygen conditions were more suitable for methane oxidation than 3% oxygen. The addition of of ammonium induced different effects on methane oxidation capacity when conducted at low or high water content. With regard to the methanotrophs, Type II was sensitive to the changes of water content, while Type I was influenced by oxygen content. Furthermore, the methanotrophic acidophile, , was detected in soils with a pH of 4.9, which extended their known living environments.

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

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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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Shaking-moment balancing of mechanisms with principal vectors and momentum

V. van der WIJK

Frontiers of Mechanical Engineering 2013, Volume 8, Issue 1,   Pages 10-16 doi: 10.1007/s11465-013-0359-2

Abstract: For this purpose, the method of principal vectors is investigated, showing a compact notation of the

Keywords： shaking-moment balancing     principal vector linkage     angular momentum    

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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 weightIt 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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optimization of cutting parameters in high-speed milling based on grey relational analysis coupled with principal

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: 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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A Study About IC and IR in Principal-gent RelationshipUnder the Engineer Supervision Institution

Qin Xuan

Strategic Study of CAE 2007, Volume 9, Issue 4,   Pages 45-49

Abstract:

According to principal-agent theory, the Incentive compatibility constraint(IC)and the participation constraint (IR) in principal-gent relationship between employer and engineer

Keywords： engineer supervision     employer     engineer     principal-gent     incentive compatibility constraint(IC)     participation    

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

Luo Yixin

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

Abstract: justify;">This paper puts forward a comprehensive choice and evaluation index system and a model based on principal

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

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The Application of Moving Frame in the Calculation of Spiral Bevel Gear’s Principal Curvature

Wang Yuqing,Liang Jian

Strategic Study of CAE 2001, Volume 3, Issue 12,   Pages 68-70

Abstract:

the calculation of contacted points´ principal curvature is the key to determine contacted areaTraditionally, the method of determining principal curvature is to make use of the theory of mesh andsurface, moving frame and co-differential are employed to give a sententious, effective algorithm of principalThis algorithm can be used for calculation of principal curvature in all kinds of curve surfaces.

Keywords： spiral bevel gear     principal curvature     moving frame    

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Algorithm Design for Improving Feature Extraction Efficiency Based on KPCA

Xu Yong,Yangjingyu,Lu Jianfeng

Strategic Study of CAE 2005, Volume 7, Issue 10,   Pages 38-42

Abstract:

KPCA (kernel PCA) is derived from PCA. It can extract nonlinear feature components of samples.

Keywords： KPCA(Kernel PCA)     IKPCA(Improved KPCA)     feature extraction     feature space    

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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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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

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

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

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

Shaking-moment balancing of mechanisms with principal vectors and momentum

V. van der WIJK

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

optimization of cutting parameters in high-speed milling based on grey relational analysis coupled with principal

Tao FU, Jibin ZHAO, Weijun LIU

Journal Article

A Study About IC and IR in Principal-gent RelationshipUnder the Engineer Supervision Institution

Qin Xuan

Journal Article

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

Luo Yixin

Journal Article

The Application of Moving Frame in the Calculation of Spiral Bevel Gear’s Principal Curvature

Wang Yuqing,Liang Jian

Journal Article

Algorithm Design for Improving Feature Extraction Efficiency Based on KPCA

Xu Yong,Yangjingyu,Lu Jianfeng

Journal Article

AED-Net: An Abnormal Event Detection Network

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

Journal Article