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Fast removal of ocular artifacts from electroencephalogram signals using spatial constraint independentcomponent analysis based recursive least squares in brain-computer interface

Bang-hua YANG,Liang-fei HE,Lin LIN,Qian WANG

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 6,   Pages 486-496 doi: 10.1631/FITEE.1400299

Abstract: remove ocular artifacts from EEG in brain-computer interfaces (BCIs), a method named spatial constraint independentcomponent analysis based recursive least squares (SCICA-RLS) is proposed.In the first stage, independent component analysis (ICA) is used to decompose multiple EEG channels intoan equal number of independent components (ICs).

Keywords： Electroencephalogram (EEG)     Electrooculogram (EOG)     Brain-computer interface (BCI)     Spatial constraint independentcomponent analysis based recursive least squares (SCICA-RLS)    

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Performance monitoring of non-gaussian chemical processes with modes-switching using globality-locality preserving projection

Xin Peng, Yang Tang, Wenli Du, Feng Qian

Frontiers of Chemical Science and Engineering 2017, Volume 11, Issue 3,   Pages 429-439 doi: 10.1007/s11705-017-1675-6

Abstract: propose a novel performance monitoring and fault detection method, which is based on modified structure analysisprojection to analyze the embedding geometrical manifold and extracting the non-Gaussian features by independentcomponent analysis, MSAGL preserves both the global and local structures of the data simultaneously.

Keywords： non-Gaussian processes     subspace projection     independent component analysis     locality preserving projection    

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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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Building Chinese Brand Parts System to Consolidate the Foundation of Automobile Power

Li Kaiguo,Deng Xiaozhi,Shen Bin and Wu Shengnan

Strategic Study of CAE 2018, Volume 20, Issue 1,   Pages 133-138 doi: 10.15302/J-SSCAE-2018.01.019

Abstract: Through the analysis of problems and opportunities for the development of China’s parts industry, we suggest building a complete independent parts system through strengthening the industrial base,expanding the scale of independent support, and cultivating leading companies to consolidate the development

Keywords： automobile power     component system     independent     suggestion    

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Feasibility analysis of modified AL-6XN steel for structure component application in supercritical water-cooled

Xinggang LI, Qingzhi YAN, Rong MA, Haoqiang WANG, Changchun GE

Frontiers in Energy 2009, Volume 3, Issue 2,   Pages 193-197 doi: 10.1007/s11708-009-0030-0

Abstract: impact toughness were measured to evaluate the qualification of modified AL-6XN steel as an in-core component

Keywords： supercritical water cooled reactor     tensile     impact toughness     corrosion     aging    

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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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Modeling and analysis of magnetic dipoles in weak magnetic field

WANG Zhaoxia, ZHANG Weimin, LIU Hongguang

Frontiers of Mechanical Engineering 2008, Volume 3, Issue 2,   Pages 222-225 doi: 10.1007/s11465-008-0028-z

Abstract: The formula to compute the normal component of the weak magnetic field is deduced based on the spatial

Keywords： geomagnetic     theory     important criterion     magnetic leakage     normal component    

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An exploratory study for predicting component reliability with new load conditions

Zhengwei HU, Xiaoping DU

Frontiers of Mechanical Engineering 2019, Volume 14, Issue 1,   Pages 76-84 doi: 10.1007/s11465-018-0522-x

Abstract: With a beam problem as a case study, this study explores a feasible way to re-evaluate the componentreliability with new Loads given the following information: The original reliability of the componentwith respect to the component Loads and the distributions of the new component Loads.the component failure under the new Loads.Since the information is limited, the re-evaluated component reliability is given by its maximum and

Keywords： reliability     component     failure mode     prediction     random variable    

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Mountain Area Study on the Development of Forestry Industry in Qinba Mountain Area Based on Principal ComponentAnalysis

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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Maximum independent set in planning freight railway transportation

Gainanov Damir N., Mladenovic NENAD, Rasskazova V. A.

Frontiers of Engineering Management 2018, Volume 5, Issue 4,   Pages 499-506 doi: 10.15302/J-FEM-2018031

Abstract: investigation aims to solve the classical combinatorial optimization problem in relation to the maximum independentWith use of these constructions, the lower and upper bounds for the number of vertices in the maximum independent

Keywords： independent set     algorithm     planning of transportation     two-sided estimate    

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Experimental and numerical analysis of beam to column joints in steel structures

Gholamreza ABDOLLAHZADEH, Seyed Mostafa SHABANIAN

Frontiers of Structural and Civil Engineering 2018, Volume 12, Issue 4,   Pages 642-661 doi: 10.1007/s11709-017-0457-z

Abstract: First, the component-based mechanical model will be introduced in which every source of transformation

Keywords： beam to column connections     experiments     component method     neural network model     combinational modeling    

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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 principal componentanalysis network (PCAnet) and kernel principal component analysis (kPCA), is proposed to address this

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

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Improved resilience measure for component recovery priority in power grids

Frontiers of Engineering Management 2021, Volume 8, Issue 4,   Pages 545-556 doi: 10.1007/s42524-021-0161-5

Abstract: Given the complexity of power grids, the failure of any component may cause large-scale economic losses

Keywords： resilience measure     power grid     importance measure     component recovery    

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Systematic review for geo-authentic Lonicerae Japonicae Flos

Xingyue Yang, Yali Liu, Aijuan Hou, Yang Yang, Xin Tian, Liyun He

Frontiers of Medicine 2017, Volume 11, Issue 2,   Pages 203-213 doi: 10.1007/s11684-017-0504-0

Abstract: Sixty-five studies mainly discussing about chemical fingerprint, component analysis, planting and processing

Keywords： Lonicerae Japonicae Flos     geo-authentic     herbal quality     chemical fingerprint     component analysis    

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Independent cover meshless particle method for complex geotechnical engineering

Jianqiu WU, Yongchang CAI

Frontiers of Structural and Civil Engineering 2018, Volume 12, Issue 4,   Pages 515-526 doi: 10.1007/s11709-017-0428-4

Abstract: A new Independent Cover Meshless Particle (ICMP) method is proposed for the analysis of complex geotechnicalIn the ICMP method, the independent rectangular cover regardless of the shape of the analysis model iseach discrete node, the general polynomial is employed as the meshless interpolation function of the independentpresent method has a simple formulation and a low computational cost, and is easy for the numerical analysis

Keywords： meshless method     particle method     independent cover     CTM     geotechnical engineering    

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Title Author Date Type Operation

Fast removal of ocular artifacts from electroencephalogram signals using spatial constraint independentcomponent analysis based recursive least squares in brain-computer interface

Bang-hua YANG,Liang-fei HE,Lin LIN,Qian WANG

Journal Article

Performance monitoring of non-gaussian chemical processes with modes-switching using globality-locality preserving projection

Xin Peng, Yang Tang, Wenli Du, Feng Qian

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

Building Chinese Brand Parts System to Consolidate the Foundation of Automobile Power

Li Kaiguo,Deng Xiaozhi,Shen Bin and Wu Shengnan

Journal Article

Feasibility analysis of modified AL-6XN steel for structure component application in supercritical water-cooled

Xinggang LI, Qingzhi YAN, Rong MA, Haoqiang WANG, Changchun GE

Journal Article

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

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

Journal Article

Modeling and analysis of magnetic dipoles in weak magnetic field

WANG Zhaoxia, ZHANG Weimin, LIU Hongguang

Journal Article

An exploratory study for predicting component reliability with new load conditions

Zhengwei HU, Xiaoping DU

Journal Article

Mountain Area Study on the Development of Forestry Industry in Qinba Mountain Area Based on Principal ComponentAnalysis

Zheng Donghui, Hou Hua, Zhai Mingpu, Qu Mei

Journal Article

Maximum independent set in planning freight railway transportation

Gainanov Damir N., Mladenovic NENAD, Rasskazova V. A.

Journal Article

Experimental and numerical analysis of beam to column joints in steel structures

Gholamreza ABDOLLAHZADEH, Seyed Mostafa SHABANIAN

Journal Article

AED-Net: An Abnormal Event Detection Network

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

Journal Article

Improved resilience measure for component recovery priority in power grids

Journal Article

Systematic review for geo-authentic Lonicerae Japonicae Flos

Xingyue Yang, Yali Liu, Aijuan Hou, Yang Yang, Xin Tian, Liyun He

Journal Article

Independent cover meshless particle method for complex geotechnical engineering

Jianqiu WU, Yongchang CAI

Journal Article