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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 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).Then the RLS based adaptive filter uses SC-ICs as reference signals to reduce interference, which avoids

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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New decentralized control technique based on substructure and LQG approaches

Ying LEI, Ying LIN,

Frontiers of Mechanical Engineering 2009, Volume 4, Issue 4, Pages 386-392 doi: 10.1007/s11465-009-0041-x

Abstract: In this paper, a new decentralized control technique is proposed based on the linear quadratic GaussianAn algorithm of recursive least squares estimation for the unknown excitation is proposed.

Keywords： substructures decentralized control linear quadratic Gaussian (LQG) Kalman filter unknown input least-squares

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Structural total least squares algorithm for locating multiple disjoint sources based on AOA/TOA/FOA None

Xin CHEN, Ding WANG, Rui-rui LIU, Jie-xin YIN, Ying WU

Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 7, Pages 917-936 doi: 10.1631/FITEE.1700735

Abstract: Based on a single moving station localization system, a new method with high localization precision andBased on this, a structural total least squares (STLS) optimization model is developed and the inversethat the theoretical performance of the STLS method is consistent with that of the constrained total leastsquares method under first-order error analysis, both of which can achieve the Cramér-Rao lower bound

Keywords： Single-station Structural total least squares Inverse iteration Angle-of-arrival (AOA) Time-of-arrival

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Identification of thermal error in a feed system based on multi-class LS-SVM

Chao JIN, Bo WU, Youmin HU, Yao CHENG

Frontiers of Mechanical Engineering 2012, Volume 7, Issue 1, Pages 47-54 doi: 10.1007/s11465-012-0307-6

Abstract: Using multi-class least squares support vector machines (LS-SVM), the thermal positioning error of the

Keywords： least squares support vector machine (LS-SVM) feed system thermal error precision machining

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Timing decision-making method of engine blades for predecisional remanufacturing based on reliability

Le CHEN, Xianlin WANG, Hua ZHANG, Xugang ZHANG, Binbin DAN

Frontiers of Mechanical Engineering 2019, Volume 14, Issue 4, Pages 412-421 doi: 10.1007/s11465-019-0551-0

Abstract: remanufacturing of mechanical products during the service period and constructs an optimal timing model basedpredicted by using the characteristic values of performance degradation of products combined with the leastsquares support vector regression algorithm.

Keywords： predecisional remanufacturing reliability least squares support vector regression (LS-SVR) game theory

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Optical plasma boundary reconstruction based on least squares for EASTTokamak None

Hao LUO, Zheng-ping LUO, Chao XU, Wei JIANG

Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 9, Pages 1124-1134 doi: 10.1631/FITEE.1700041

Abstract: Based on global contrast, we propose an edge detection algorithm to extract the plasma boundary in theimage plane to the Tokamak poloidal plane by a mathematical model, which is optimally resolved by using leastsquares to minimize the error between the optically reconstructed result and the EFIT result.

Keywords： Optical boundary reconstruction Boundary detection Global contrast Least square EAST Tokamak

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Comparison of modeling methods for wind power prediction: a critical study

Rashmi P. SHETTY, A. SATHYABHAMA, P. Srinivasa PAI

Frontiers in Energy 2020, Volume 14, Issue 2, Pages 347-358 doi: 10.1007/s11708-018-0553-3

Abstract: In this work, six different models have been developed based on wind power equation, concept of powerTo develop the models based on the concept of power curve, the manufacturer’s power curve, and to develop

Keywords： power curve method of least squares cubic spline interpolation response surface methodology artificial

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Subspace-based identification of discrete time-delay system Article

Qiang LIU,Jia-chen MA

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 6, Pages 566-575 doi: 10.1631/FITEE.1500358

Abstract: Finally, we reconstruct the Kalman state sequences based on the similarity transformation.state-space basis can be recovered from the Kalman state sequences and input-output data by solving two leastsquares problems.

Keywords： Identification problems Time-delay systems Subspace identification method Alternate convex search Leastsquares

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

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: regression (SWR), artificial neural network (ANN), adaptive neuro-fuzzy inference system (ANFIS), and the leastsquares support vector machine (LS-SVM) model for the prediction of BP reactivity to an unsupportedperformance of the constructed models, using appropriate statistical indices, shows clearly that a PCA-based

Keywords： stepwise regression Artificial neural network (ANN) Adaptive neuro-fuzzy inference system (ANFIS) Leastsquares support vector machine (LS-SVM)

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Impacts of building information modeling (BIM) implementation on design and construction performance: a resource dependence theory perspective

Dongping CAO, Heng LI, Guangbin WANG

Frontiers of Engineering Management 2017, Volume 4, Issue 1, Pages 20-34 doi: 10.15302/J-FEM-2017010

Abstract: Based on two sets of survey data collected from designers and general contractors in BIM-based constructionprojects in China, the results from partial least squares analysis and bootstrapping mediation test

Keywords： interorganizational collaboration construction project performance resource dependence theory partial leastsquares modeling

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Predictive Functional Control Based on Fuzzy Model for HVAC Systems

Lu Hongli,Jia Lei,Wang Lei,Gao Rui

Strategic Study of CAE 2006, Volume 8, Issue 9, Pages 65-68

Abstract: A novel predictive functional control strategy based on Takagi-Sugeno fuzzy model was developed in orderThe T - S fuzzy model of controlled process was obtained using the least squares method, then basing

Keywords： T-S fuzzy model predictive functional control least squares method HVAC systems

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Prediction of vibration response of powerhouse structures based on LS-SVM optimized by PSO

Lian Jijian,He Longjun,Wang Haijun

Strategic Study of CAE 2011, Volume 13, Issue 12, Pages 45-50

Abstract: Based on prototype observation data of Ertan Hydropower Station, the paper analyzes the coupling effectof units and powerhouse,and then the vibration response forecasting model of the powerhouse is built based

Keywords： powerhouse coupled vibration particle swarm optimization algorithm least squares support vector machines

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Nonlinear restoring force identification based on measured time series

Xu Bin,He Jia

Strategic Study of CAE 2011, Volume 13, Issue 9, Pages 76-82

Abstract: In this approach, the least-squares technique is employed to identify the parameters of an equivalentlinear system of the nonlinear structure model based on the external excitations and the correspondingResults show that the proposed data-based approaches are capable of identifying the nonlinear restoring

Keywords： nonlinear restoring force identification MR damper least-squares techniques equivalent linear system

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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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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

New decentralized control technique based on substructure and LQG approaches

Ying LEI, Ying LIN,

Journal Article

Structural total least squares algorithm for locating multiple disjoint sources based on AOA/TOA/FOA

Xin CHEN, Ding WANG, Rui-rui LIU, Jie-xin YIN, Ying WU

Journal Article

Identification of thermal error in a feed system based on multi-class LS-SVM

Chao JIN, Bo WU, Youmin HU, Yao CHENG

Journal Article

Timing decision-making method of engine blades for predecisional remanufacturing based on reliability