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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: To remove ocular artifacts from EEG in brain-computer interfaces (BCIs), a method named spatial constraintindependent component analysis based recursive least squares (SCICA-RLS) is proposed.In the first stage, independent component analysis (ICA) is used to decompose multiple EEG channels intoIn the second stage, first, SCICA applies exact artifact ICs obtained in the first stage as a constraintThese extracted ICs are called spatial constraint ICs (SC-ICs).

Keywords： Ocular artifacts     Electroencephalogram (EEG)     Electrooculogram (EOG)     Brain-computer interface (BCI)     Spatialconstraint independent component analysis based recursive least squares (SCICA-RLS)    

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Isogeometric topology optimization based on energy penalization for symmetric structure

Xianda XIE, Shuting WANG, Ming YE, Zhaohui XIA, Wei ZHAO, Ning JIANG, Manman XU

Frontiers of Mechanical Engineering 2020, Volume 15, Issue 1,   Pages 100-122 doi: 10.1007/s11465-019-0568-4

Abstract: morphable components (ITO–MMC), propose an ITO–MMC with an additional bilateral or periodic symmetric constraintstructures, and then extend the proposed energy penalization method to an ITO–MMC with a symmetric constraintnumerical instability and convergence for the ITO–MMC and the ITO–MMC subjected to the structural symmetric constraintFor the ITO–MMC under a bilateral symmetric constraint, the proposed method can reduce the objectiveFor the ITO–MMC under a periodic symmetric constraint, the proposed energy penalization method can dramatically

Keywords： topology optimization     moving morphable component     isogeometric analysis     energy penalization method     symmetricconstraint    

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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: An experiment based on the technology of Taguchi is performed.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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Development of rocking constraint device with vertical damping capacity for three-dimensional base-isolated

Frontiers of Structural and Civil Engineering 2023, Volume 17, Issue 3,   Pages 350-367 doi: 10.1007/s11709-022-0923-0

Abstract: A new rocking constraint device (RCD) is developed for three-dimensional (3D) base-isolated frame structuresTheoretical formulas for calculating the damping and rocking constraint stiffness of the RCD are proposedcylinder without orifices on its piston can provide the desired damping with a replaceable damping componentvertical stiffness of an individual cylinder is affected by the location of the replaceable damping componentstiffness of the RCD, is independent of the two factors.

Keywords： three-dimensional isolation     rocking behavior     rocking constraint device     replaceable damping component    

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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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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: In this paper, we propose a novel performance monitoring and fault detection method, which is based onmodified structure analysis and globality and locality preserving (MSAGL) projection, for non-Gaussianprojection 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.The results demonstrate the advantages of the proposed method over conventional eigendecomposition-based

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

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Allocation of grassland, livestock and arable based on the spatial and temporal analysis for food demand

Huilong LIN, Ruichao LI, Yifan LIU, Jingrong ZHANG, Jizhou REN

Frontiers of Agricultural Science and Engineering 2017, Volume 4, Issue 1,   Pages 69-80 doi: 10.15302/J-FASE-2017140

Abstract: Based on the food demand and trend in the development of grassland agriculture, the 31 provinces in China

Keywords： arable land equivalent unit (ALEU)     food equivalent unit (FEU)     food security     grassland agriculture     time trend prediction    

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Research on constraint-based virtual assembly technologies

YANG Rundang, WU Dianliang, FAN Xiumin, YAN Juanqi

Frontiers of Mechanical Engineering 2007, Volume 2, Issue 2,   Pages 243-249 doi: 10.1007/s11465-007-0043-5

Abstract: To realize a constraint-based virtual assembly operation, the unified representations of the assemblyconstraint, the equivalent relation between the constraint and the degree of freedom (DOF), and theSeveral algorithms about the constraint treatment are submitted.First, the automatic recognition algorithm based on the assembly relation is used to determine the positionFinally, the algorithm of movement navigation based on the generalized coordinate system is put forward

Keywords： movement DOF     recognition algorithm     assembly     orientation     combination    

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Spatial prediction of soil contamination based on machine learning: a review

Frontiers of Environmental Science & Engineering 2023, Volume 17, Issue 8, doi: 10.1007/s11783-023-1693-1

Abstract:

● A review of machine learning (ML) for spatial prediction of soil

Keywords： Soil contamination     Machine learning     Prediction     Spatial distribution    

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Industry in Qinba Mountain Area Study on the Development of Forestry Industry in Qinba Mountain Area Basedon Principal Component 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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Multi-scale UDCT dictionary learning based highly undersampled MR image reconstruction using patch-basedconstraint splitting augmented Lagrangian shrinkage algorithm

Min YUAN,Bing-xin YANG,Yi-de MA,Jiu-wen ZHANG,Fu-xiang LU,Tong-feng ZHANG

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 12,   Pages 1069-1087 doi: 10.1631/FITEE.1400423

Abstract: Recently, dictionary learning (DL) based methods have been introduced to compressed sensing magneticCorresponding to this brand-new sparsity model, we modify the constraint splitting augmented Lagrangianshrinkage algorithm (C-SALSA) as patch-based C-SALSA (PB C-SALSA) to solve the constraint optimization

Keywords： imaging (MRI)     Uniform discrete curvelet transform (UDCT)     Multi-scale dictionary learning (MSDL)     Patch-basedconstraint splitting augmented Lagrangian shrinkage algorithm (PB C-SALSA)    

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Industrial eco-efficiency and its spatial-temporal differentiation in China

Wei YANG, Fengjun JIN, Chengjin WANG, Chen LV

Frontiers of Environmental Science & Engineering 2012, Volume 6, Issue 4,   Pages 559-568 doi: 10.1007/s11783-012-0400-4

Abstract: The aim of this paper is to study the spatial-temporal differentiation of industrial eco-efficiency inUsing methods based on the data envelopment analysis (DEA) model and exploratory spatial data analysis(ESDA) and data from 1985, 1995, 2005, and 2008 of 30 provinces in China, the spatial-temporal patternindustrial eco-efficiency are dominated by clustering of relatively low efficiency provinces; second, spatialunits are concentrated in eastern China, and the lower level spatial units are mainly in western and

Keywords： industrial eco-efficiency     data envelopment analysis (DEA) model     exploratory spatial data analysis (ESDA    

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Geometrically constrained isogeometric parameterized level-set based topology optimization via trimmed

Yingjun WANG,David J. BENSON

Frontiers of Mechanical Engineering 2016, Volume 11, Issue 4,   Pages 328-343 doi: 10.1007/s11465-016-0403-0

Abstract:

In this paper, an approach based on the fast point-in-polygon (PIP) algorithm and trimmed elementsThe isogeometric parameterized level-set-based TO method, which directly uses the non-uniform rational

Keywords： isogeometric analysis     topology optimization     level set method     arbitrary geometric constraint     trimmed element    

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Chord error constraint based integrated control strategy for contour error compensation

Tie ZHANG, Caicheng WU, Yanbiao ZOU

Frontiers of Mechanical Engineering 2020, Volume 15, Issue 4,   Pages 645-658 doi: 10.1007/s11465-020-0601-7

Abstract: large curvature positions, an integrated control strategy of cross-coupling contour error compensation basedon chord error constraint, which consists of a cross-coupling controller and an improved position errorMoreover, a feed rate regulator based on the chord error constraint is proposed, which performs speedplanning with the maximum feed rate allowed by the large curvature position as the constraint condition

Keywords： cross-coupling controller     contour error     tracking error     position error compensator     feed rate regulator    

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

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: This paper proposes a framework based on the dynamic stiffness theory, to estimate harmonic input, reconstructThe principal component analysis has been adopted to “compress” the under-determined equation, and formedTo improve the damage-detection accuracy, a multi-measurement-based indicator has been proposed.

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

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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

Isogeometric topology optimization based on energy penalization for symmetric structure

Xianda XIE, Shuting WANG, Ming YE, Zhaohui XIA, Wei ZHAO, Ning JIANG, Manman XU

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

Development of rocking constraint device with vertical damping capacity for three-dimensional base-isolated

Journal Article

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

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

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

Allocation of grassland, livestock and arable based on the spatial and temporal analysis for food demand

Huilong LIN, Ruichao LI, Yifan LIU, Jingrong ZHANG, Jizhou REN

Journal Article

Research on constraint-based virtual assembly technologies

YANG Rundang, WU Dianliang, FAN Xiumin, YAN Juanqi

Journal Article

Spatial prediction of soil contamination based on machine learning: a review

Journal Article

Industry in Qinba Mountain Area Study on the Development of Forestry Industry in Qinba Mountain Area Basedon Principal Component Analysis

Zheng Donghui, Hou Hua, Zhai Mingpu, Qu Mei

Journal Article

Multi-scale UDCT dictionary learning based highly undersampled MR image reconstruction using patch-basedconstraint splitting augmented Lagrangian shrinkage algorithm

Min YUAN,Bing-xin YANG,Yi-de MA,Jiu-wen ZHANG,Fu-xiang LU,Tong-feng ZHANG

Journal Article

Industrial eco-efficiency and its spatial-temporal differentiation in China

Wei YANG, Fengjun JIN, Chengjin WANG, Chen LV

Journal Article

Geometrically constrained isogeometric parameterized level-set based topology optimization via trimmed

Yingjun WANG,David J. BENSON

Journal Article

Chord error constraint based integrated control strategy for contour error compensation

Tie ZHANG, Caicheng WU, Yanbiao ZOU

Journal Article

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

Yixian LI; Limin SUN; Wang ZHU; Wei ZHANG

Journal Article