Resource Type

Journal Article 78

Conference Videos 2

Year

2023 2

2022 4

2021 4

2020 5

2019 7

2018 6

2017 6

2016 3

2015 3

2014 5

2013 6

2012 4

2011 1

2010 1

2009 4

2008 6

2007 5

2006 1

2005 3

2004 1

open ︾

Keywords

component 6

principal component analysis 5

automobile power 3

principal component analysis (PCA) 3

Principal component analysis (PCA) 2

component method 2

-means clustering 1

2-acetylpyrazine 1

k-nearest neighbor (k-NN) 1

b-amino ketone 1

Abnormal event detection network 1

Abnormal events detection 1

Adaptive neuro-fuzzy inference system (ANFIS) 1

Agent 1

Artificial neural network (ANN) 1

Blood pressure (BP) 1

Brain 1

Brain-computer interface (BCI) 1

Business architecture integration 1

open ︾

Search scope:

排序： Display mode:

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 transformedanalyze the impact of PCA on NMF, and find that multiplicative NMF can also be applicable to data after principalcomponent 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    

HTML PDF Collect

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

HTML PDF Collect

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    

HTML PDF Collect

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    

HTML PDF Collect

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: and classification were done to the mine area farmland heavy metal pollution situation by synthetic principalThe 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    

HTML PDF Collect

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 component    

HTML PDF Collect

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 component    

HTML PDF Collect

Real-Time Assessment and Diagnosis of Process Operating Performance

Shabnam Sedghi,Biao Huang

Engineering 2017, Volume 3, Issue 2,   Pages 214-219 doi: 10.1016/J.ENG.2017.02.004

Abstract: addition, multi-modal behavior of steady-state modes is tackled utilizing the mixture probabilistic principalcomponent regression (MPPCR) method, and dynamic principal component regression (DPCR) is used to investigate

Keywords： Optimality assessment     Probabilistic principal component regression     Multi-mode    

HTML PDF Collect

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    

HTML PDF Collect

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    

HTML PDF Collect

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 component    

HTML PDF Collect

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: Based on the relevant spectral bands identified by principal component analysis (PCA) and random search

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

HTML PDF Collect

Outliers detection algorithm based on nonlinear data transformation

Xu Xuesong,Zhang Xu,Song Dongming,Zhang Hong,Liu Fnegyu

Strategic Study of CAE 2008, Volume 10, Issue 9,   Pages 74-78

Abstract:

The data dimension reduction is the main method that can enhance the outliers mining efficiency based on higher-dimension data set. A novel outlier detection algorithm is proposed after analyzing the advantages and disadvantages of the classical outlier mining algorithm in the paper.In this paper, we can transform nonlinear large-scale data into linear data in the feature space,and introduce a nonlinear data transformation to reduce data dimension. On the basis of each resulting vector,it determins whether the data is outlier data or not one by one. This paper shows that the algorithm is not only used to detect linear separable outlier data,but also used to detect nonlinear inseparable outlier data. This indicate that the algorithm has its obvious superiority.

Keywords： dimension reduction     kernel function     principal component     outliers    

HTML PDF Collect

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)    

HTML PDF Collect

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), artificialmulti-collinearity among anthropometric predictor variables and to select a subset of components, termed ‘principal

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

HTML PDF Collect

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

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

Tao FU, Jibin ZHAO, Weijun LIU

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

AED-Net: An Abnormal Event Detection Network

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

Journal Article

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

Wang Conglu,Wu Chao,Duan Yu

Journal Article

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

Chuanjia JIANG, Pengyi 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

Real-Time Assessment and Diagnosis of Process Operating Performance

Shabnam Sedghi,Biao Huang

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

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

Outliers detection algorithm based on nonlinear data transformation

Xu Xuesong,Zhang Xu,Song Dongming,Zhang Hong,Liu Fnegyu

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