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Signal separation technology for diphase opposition giant magnetostrictive self-sensing actuator

Xinhua WANG, Shuwen SUN, Jian ZHEN, Qianyi YA, Deguo WANG,

Frontiers of Mechanical Engineering 2010, Volume 5, Issue 2,   Pages 176-183 doi: 10.1007/s11465-010-0001-5

Abstract: The structure and principle of a new type of a diphase opposition giant magnetostrictive self-sensingDynamic balance separation technology for the giant magnetostrictive self-sensing actuator comes trueby the least means square (LMS) self-adapting algorithm.

Keywords： giant magnetostrictive material (GMM) self-sensing actuator     least means square (LMS) self-adapting algorithm     design of self-adaptive circuit    

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Properties of a general quaternion-valued gradient operator and its applications to signal processing

Meng-di Jiang, Yi Li, Wei Liu,w.liu@sheffield.ac.uk

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 2,   Pages 83-95 doi: 10.1631/FITEE.1500334

Abstract: As an application, the derivation of the least mean square algorithm and a nonlinear adaptive algorithmpresented as an example to demonstrate the effectiveness of the -valued signal model and the derived algorithm

Keywords： Quaternion     Gradient operator     Signal processing     Least mean square (LMS) algorithm     Nonlinear adaptive    

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Day-ahead electricity price forecasting using back propagation neural networks and weighted least square

S. Surender REDDY,Chan-Mook JUNG,Ko Jun SEOG

Frontiers in Energy 2016, Volume 10, Issue 1,   Pages 105-113 doi: 10.1007/s11708-016-0393-y

Abstract: the day-ahead electricity price forecasting using the artificial neural networks (ANN) and weighted leastsquare (WLS) technique in the restructured electricity markets.

Keywords： day-ahead electricity markets     price forecasting     load forecasting     artificial neural networks     load serving entities    

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Generalization and application in time series forecasting of the least square support vector machine

Xiang Xiaodong

Strategic Study of CAE 2008, Volume 10, Issue 11,   Pages 89-92

Abstract: more future information than historical data in time-series,the paper extends the prediction method of leastsquare support vector machine and obtains a more general prediction model of least square support vectormachine,and develops algorithm of the extended prediction model.Prediction examples of two time-seriesthat the extended model is more effective.Therefore it improves the value of the prediction method of leastsquare support vector machine.

Keywords： least square support vector machine     generalization     time series     forecasting    

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The S-N Curve Fitted by the Least Square Method Considering the Effect of Length of the Confidence Interval

Yang Xiaohua,Jin Ping,Yao Weixing

Strategic Study of CAE 2004, Volume 6, Issue 4,   Pages 41-43

Abstract: Founding on physical mechanism, this paper presents a weighted least square method in which the weighThe calculating results show that the S-N curve which is gained by the least square method consideringof the confidence interval is more reliable and secure than the S-N curve which is gained by general leastsquare method.

Keywords： confidence interval     fatigue life     least square method     S-N curve    

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A Hierarchical-Based Initialization Method for K-Means Algorithm

Tang Jiubin,Lu Jianfeng,Tang Zhenmin, Yang Jingyu

Strategic Study of CAE 2007, Volume 9, Issue 11,   Pages 74-79

Abstract:

K-means algorithm is one of common clustering algorithms,  but the In this paper,  a hierarchical-based initialization approach is proposed for K-Means algorithm

Keywords： hierarchical technique     initial cluster centers     weighted data     K-means clustering    

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LSSVM-based approach for refining soil failure criteria and calculating safety factor of slopes

Shiguo XIAO; Shaohong LI

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 7,   Pages 871-881 doi: 10.1007/s11709-022-0863-8

Abstract: In the work reported here, an analysis method based on the least square support vector machine (LSSVMevaluation indexes including coefficient of determination, mean absolute percentage error, and mean square

Keywords： slope stability     safety factor     failure criterion     least square support vector machine    

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Multi-color space threshold segmentation and self-learning k-NN algorithm for surge test EUT status

Jian HUANG,Gui-xiong LIU

Frontiers of Mechanical Engineering 2016, Volume 11, Issue 3,   Pages 311-315 doi: 10.1007/s11465-016-0376-z

Abstract: A multi-color space threshold segmentation and self-learning k-nearest neighbor algorithmthe unknown class sample Sr was classified by the k-NN algorithmseries of illuminant, indicator light, screen, and disturbances samples (a total of 21600 frames), the algorithm

Keywords： multi-color space     k-nearest neighbor algorithm (k-NN)     self-learning     surge test    

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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: In this paper, we present an optical plasma boundary reconstruction algorithm.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 least

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

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System identification of channel roughness for middle route project of south to north water diversion

Yang Kailin,Wang Yisen

Strategic Study of CAE 2012, Volume 14, Issue 11,   Pages 17-23

Abstract: relationship among channel roughness, rough height ks and hydraulic radius R, and deduce the linear model by meansof the mathematical transformation to make use of the least square method for the identification.

Keywords： channel     roughness     system identification     least square method    

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Learning deep IA bidirectional intelligence Personal View

Lei XU

Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 4,   Pages 558-562 doi: 10.1631/FITEE.1900541

Abstract: patterns, and the other is A-S cognition, derived from the abbreviated form of words abstraction and self-organization, which abstracts input patterns into concepts that are labeled and understood by self-organizing parts

Keywords： Abstraction     Least mean square error reconstruction (Lmser)     Cognition     Image thinking     Abstract thinking    

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Technological lubricating means: Evolution of materials and ideas

Vladimir A. GODLEVSKIY

Frontiers of Mechanical Engineering 2016, Volume 11, Issue 1,   Pages 101-107 doi: 10.1007/s11465-016-0369-y

Abstract:

The main stages of technological lubricating material development from ancient times to date are described. How the chemical composition of these products changed with time, how new ideas revealing the physical and chemical basics of external media that influence the mechanical processing of materials appeared, how these ideas explained the differences between traditional tribology and specific technology of metal processing are discussed. The question of the possible realization of Rehbinder’s adsorption effect in contact zone is also stated. The description of a very captivating problem is related to the explanation of the mechanism of lubricant penetration into the contact zone between the material being processed and the tool. The birth and development of the hypothesis of microcapillary penetration of the lubricant into the dynamically changed intersurface clearance that has finally led to formulating the “necessary kinetic condition of the lubricating activity” is relayed.

Keywords： technological lubrication and cooling     metal cutting     grinding     lubrication action     tribology    

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Modified Performance Index Method for Parameter Estimation for Industrial Process with Time-varying

Zhang Chenghui

Strategic Study of CAE 2001, Volume 3, Issue 11,   Pages 54-59

Abstract: based on modified performance index is proposed for time-varying process to avoid the ill-condition of leastBased on the new method,a series of new recursive algorithms such as the new recursive least squaresalgorithm,the instrumental variable algorithm are constructed.Both simulation results and practical operation show the new identification algorithm is effective.In this paper, the justification of this modified algorithm is proved.

Keywords： parameter estimation     method of calculation     least square method     time-varying system     industrial production    

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Study on the ultrasonic distance measurement system for seabed coblat crusts microtopography based on LMS

Liu Ai’jun,Zhou Zhijin,Bu Yingyong,Long Yingchun

Strategic Study of CAE 2009, Volume 11, Issue 8,   Pages 79-82

Abstract: Through continuous adjustment of the quantity of delay time, the minimum mean square (LMS) error wasComputer simulation and test results indicated that using minimum mean square error method to measure

Keywords： deep-sea coblat-crusts     microtopography     LMS     single-beam measurement     adaptive filtering    

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Self-organizing method for collaboration in multi-robot system on basis of balance principle

DONG Yangbin, JIANG Jinping, HE Yan

Frontiers of Mechanical Engineering 2008, Volume 3, Issue 3,   Pages 283-287 doi: 10.1007/s11465-008-0044-z

Abstract: of progress relation between the two subtasks on the whole task’s progress, and then puts forward a self-organizingFurthermore, an algorithm is designed for adjusting subtask selection on the basis of this principle.Simulation shows the validity of the algorithm on self-organizing task allocation in a multi-robot system

Keywords： algorithm     self-organizing principle     validity     Simulation     allocation    

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Title Author Date Type Operation

Signal separation technology for diphase opposition giant magnetostrictive self-sensing actuator

Xinhua WANG, Shuwen SUN, Jian ZHEN, Qianyi YA, Deguo WANG,

Journal Article

Properties of a general quaternion-valued gradient operator and its applications to signal processing

Meng-di Jiang, Yi Li, Wei Liu,w.liu@sheffield.ac.uk

Journal Article

Day-ahead electricity price forecasting using back propagation neural networks and weighted least square

S. Surender REDDY,Chan-Mook JUNG,Ko Jun SEOG

Journal Article

Generalization and application in time series forecasting of the least square support vector machine

Xiang Xiaodong

Journal Article

The S-N Curve Fitted by the Least Square Method Considering the Effect of Length of the Confidence Interval

Yang Xiaohua,Jin Ping,Yao Weixing

Journal Article

A Hierarchical-Based Initialization Method for K-Means Algorithm

Tang Jiubin,Lu Jianfeng,Tang Zhenmin, Yang Jingyu

Journal Article

LSSVM-based approach for refining soil failure criteria and calculating safety factor of slopes

Shiguo XIAO; Shaohong LI

Journal Article

Multi-color space threshold segmentation and self-learning k-NN algorithm for surge test EUT status

Jian HUANG,Gui-xiong LIU

Journal Article

Optical plasma boundary reconstruction based on least squares for EASTTokamak

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

Journal Article

System identification of channel roughness for middle route project of south to north water diversion

Yang Kailin,Wang Yisen

Journal Article

Learning deep IA bidirectional intelligence

Lei XU

Journal Article

Technological lubricating means: Evolution of materials and ideas

Vladimir A. GODLEVSKIY

Journal Article

Modified Performance Index Method for Parameter Estimation for Industrial Process with Time-varying

Zhang Chenghui

Journal Article

Study on the ultrasonic distance measurement system for seabed coblat crusts microtopography based on LMS

Liu Ai’jun,Zhou Zhijin,Bu Yingyong,Long Yingchun

Journal Article

Self-organizing method for collaboration in multi-robot system on basis of balance principle

DONG Yangbin, JIANG Jinping, HE Yan

Journal Article