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Vectorial Eigenmode Analysis of Optical Waveguides Based on the Variable Transformed Series ExpansionMethod

Xiao Jinbiao,Sun Xiaohan,Zhang Mingde,Ding Dong

Strategic Study of CAE 2001, Volume 3, Issue 11,   Pages 49-53

Abstract: Vectorial eigenmodes supported by the buried rectangular and rib optical waveguides are obtained using variabletransformed series expansion method.The infinite x-y plane is mapped into a unit square by an elegant tangent-type variable transformationIn addition, small matrix derived from this method promotes the computational efficiency.

Keywords： variable transformed series expansion method     optical waveguides     vectorial eigenmode analysis    

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A MATLAB code for the material-field series-expansion topology optimization method

Frontiers of Mechanical Engineering 2021, Volume 16, Issue 3,   Pages 607-622 doi: 10.1007/s11465-021-0637-3

Abstract: This paper presents a MATLAB implementation of the material-field series-expansion (MFSE) topo-logy optimizationmethod.The MFSE method uses a bounded material field with specified spatial correlation to represent the structuralWith the series-expansion method for bounded fields, this material field is described with the characteristicCompared with the conventional density-based method, the MFSE method decouples the topological description

Keywords： MATLAB implementation     topology optimization     material-field series-expansion method     bounded material    

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Achieving desired nodal lines in freely vibrating structures via material-field series-expansion topology

Frontiers of Mechanical Engineering 2023, Volume 18, Issue 3, doi: 10.1007/s11465-023-0758-y

Abstract: In this study, an effective material-field series-expansion (MFSE)-based topology optimization design

Keywords： nodal line     topology optimization     structural dynamics design     material-field series-expansion    

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Employing electricity-consumption monitoring systems and integrative time-series analysis models: A case

Seiya MAKI, Shuichi ASHINA, Minoru FUJII, Tsuyoshi FUJITA, Norio YABE, Kenji UCHIDA, Gito GINTING, Rizaldi BOER, Remi CHANDRAN

Frontiers in Energy 2018, Volume 12, Issue 3,   Pages 426-439 doi: 10.1007/s11708-018-0560-4

Abstract: in smart energy monitoring technologies, the identification of appropriate methods for detailed time-seriesThe real-time SEMS data and time-series clustering to explore similarities in electricity consumption

Keywords： electricity monitoring     electricity demand prediction     multiple-variable time-series modeling     time-series    

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Design of a novel RTD-based three-variable universal logic gate

Mao-qun YAO,Kai YANG,Cong-yuan XU,Ji-zhong SHEN

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 8,   Pages 694-699 doi: 10.1631/FITEE.1500102

Abstract: In this paper, based on the Reed-Muller (RM) algebraic system, a novel method is proposed to convertthree-variable non-threshold functions to the XOR of multiple threshold functions, which is simple andOn this basis, a novel three-variable universal logic gate (ULG3) is proposed, composed of two RTD-baseduniversal threshold logic gates (UTLG) and an RTD-based three-variable XOR gate (XOR3).The ULG3 has a simple structure, and a simple method is presented to implement all three-variable functions

Keywords： Resonant tunneling diode (RTD)     Threshold logic gate     Reed-Muller expansion     Universal logic gate    

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

Xiang Xiaodong

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

Abstract: According to the theory that the present data contains more future information than historical data in time-series,the paper extends the prediction method of least square support vector machine and obtains a more generalvector machine,and develops algorithm of the extended prediction model.Prediction examples of two time-seriesshow that the extended model is more effective.Therefore it improves the value of the prediction method

Keywords： least square support vector machine     generalization     time series     forecasting    

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Abnormal expression of c-Myc in human bronchial epithelial cells malignantly transformed by anti-BPDE

FU Juan, JIANG Yiguo, CHEN Xuemin

Frontiers of Medicine 2008, Volume 2, Issue 4,   Pages 380-385 doi: 10.1007/s11684-008-0073-3

Abstract: , we investigated the expression of proto-oncogene c- in human bronchial epithelial cells (16HBE-T) transformedIn conclusion, the abnormal expression of c-Myc was present in anti-BPDE malignantly transformed 16HBE

Keywords： transcriptase-polymerase     vehicle-treated     understood     molecular mechanism     different    

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Simulation of cohesive crack growth by a variable-node XFEM

Weihua FANG, Jiangfei WU, Tiantang YU, Thanh-Tung NGUYEN, Tinh Quoc BUI

Frontiers of Structural and Civil Engineering 2020, Volume 14, Issue 1,   Pages 215-228 doi: 10.1007/s11709-019-0595-6

Abstract: A new computational approach that combines the extended finite element method associated with variable-nodeThe multiscale mesh technique associated with variable-node elements and the arc-length method further

Keywords： extended finite element method     cohesive zone model     sign function     crack propagation    

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Analyzing construction safety through time series methods

Houchen CAO, Yang Miang GOH

Frontiers of Engineering Management 2019, Volume 6, Issue 2,   Pages 262-274 doi: 10.1007/s42524-019-0015-6

Abstract: Various time series (TS) methods were adopted for identifying the leading indicators or predictors ofcontained 23 potential leading indicators (predictors or input variables) of accidents (output or dependent variable

Keywords： time series     temporal     construction safety     leading indicators     accident prevention     forecasting    

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General expression for linear and nonlinear time series models

Ren HUANG, Feiyun XU, Ruwen CHEN

Frontiers of Mechanical Engineering 2009, Volume 4, Issue 1,   Pages 15-24 doi: 10.1007/s11465-009-0015-z

Abstract: The typical time series models such as ARMA, AR, and MA are founded on the normality and stationarityThis paper proposes a general expression for linear and nonlinear auto-regressive time series modelsWith the gradient optimization method and modified AIC information criteria integrated with the predictionThe modeling and prediction accuracy of the GNAR model is superior to the classical time series models

Keywords： linear and nonlinear     autoregressive model     system identification     time series analysis    

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Development of an axial-type fan with an optimization method

Chong-hyun CHO, Soo-yong CHO, Chaesil KIM,

Frontiers in Energy 2009, Volume 3, Issue 4,   Pages 414-422 doi: 10.1007/s11708-009-0038-5

Abstract: a flowrate of 416.6m/min is developed using an optimization technique based on the gradient methodTwelve design variables are applied to the optimization of the rotor blade, and one design variable iscondition with the operating flowrate on the design point, and the efficiency is chosen as the response variableThrough these procedures, an initial axial-fan blade designed by the free vortex method is modified toThe experimental and numerical tests show that this optimization method can improve the efficiency and

Keywords： axial-type fan     gradient method     free-vortex method     design variable     total pressure     static pressure     operating    

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Decreasing complexity of glucose time series derived from continuous glucose monitoring is correlated

Frontiers of Medicine 2023, Volume 17, Issue 1,   Pages 68-74 doi: 10.1007/s11684-022-0955-9

Abstract: By calculating the complexity of glucose time series index (CGI) with refined composite multi-scale entropyanalysis of the CGM data, the study showed for the first time that the complexity of glucose time series

Keywords： complexity of glucose time series     continuous glucose monitoring     impaired glucose regulation     insulin    

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Evaluation of measurement uncertainty of the high-speed variable-slit system based on the Monte Carlomethod

Yin ZHANG, Jianwei WU, Kunpeng XING, Zhongpu WEN, Jiubin TAN

Frontiers of Mechanical Engineering 2020, Volume 15, Issue 4,   Pages 517-537 doi: 10.1007/s11465-020-0589-z

Abstract: This paper presents a dynamic and static error transfer model and uncertainty evaluation method for ahigh-speed variable-slit system based on a two-dimensional orthogonal double-layer air-floating guideFirst, an error transfer model of the high-speed variable-slit system is established, and the influenceFinally, the uncertainty of the blade displacement measurement is evaluated using the Monte Carlo method

Keywords： error transfer model     driving and following structure     dynamic error     uncertainty evaluation     Monte Carlo method    

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Assessment of bridge expansion joints using long-term displacement measurement under changing environmental

Youliang DING, Aiqun LI

Frontiers of Structural and Civil Engineering 2011, Volume 5, Issue 3,   Pages 374-380 doi: 10.1007/s11709-011-0122-x

Abstract: This paper addresses the problem of condition assessment of bridge expansion joints using long-term measurementThe effects of temperature, traffic loading and wind on the expansion joint displacements are analyzedStatistical process control using mean value control charts is further used to detect damage to the bridge expansionThe results reveal that the proposed method had a good capability for detecting the damage-induced 1.0%variances of the annual changes in the expansion joint displacements.

Keywords： structural health monitoring     displacement     expansion joint     temperature effect     wind effect     traffic loading    

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An approach for evaluating the impact of an intermittent renewable energy source on transmission expansion

Rongrit CHATTHAWORN,Surachai CHAITUSANEY

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 10,   Pages 871-882 doi: 10.1631/FITEE.1500049

Abstract: optimization approach to evaluate the impact of an intermittent renewable energy source on transmission expansionA method to select suitable scenarios representing the intermittent renewable energy generation and loadsis proposed to obtain robust expansion planning for all possible scenarios.The subproblem is solved by nonlinear programming (NLP) based on an interior point method.The IEEE Reliability Test System 79 (RTS 79) was used for testing the proposed method and evaluating

Keywords： Adaptive tabu search     Renewable energy generation     Robust optimization     Transmission expansion planning    

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Title Author Date Type Operation

Vectorial Eigenmode Analysis of Optical Waveguides Based on the Variable Transformed Series ExpansionMethod

Xiao Jinbiao,Sun Xiaohan,Zhang Mingde,Ding Dong

Journal Article

A MATLAB code for the material-field series-expansion topology optimization method

Journal Article

Achieving desired nodal lines in freely vibrating structures via material-field series-expansion topology

Journal Article

Employing electricity-consumption monitoring systems and integrative time-series analysis models: A case

Seiya MAKI, Shuichi ASHINA, Minoru FUJII, Tsuyoshi FUJITA, Norio YABE, Kenji UCHIDA, Gito GINTING, Rizaldi BOER, Remi CHANDRAN

Journal Article

Design of a novel RTD-based three-variable universal logic gate

Mao-qun YAO,Kai YANG,Cong-yuan XU,Ji-zhong SHEN

Journal Article

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

Xiang Xiaodong

Journal Article

Abnormal expression of c-Myc in human bronchial epithelial cells malignantly transformed by anti-BPDE

FU Juan, JIANG Yiguo, CHEN Xuemin

Journal Article

Simulation of cohesive crack growth by a variable-node XFEM

Weihua FANG, Jiangfei WU, Tiantang YU, Thanh-Tung NGUYEN, Tinh Quoc BUI

Journal Article

Analyzing construction safety through time series methods

Houchen CAO, Yang Miang GOH

Journal Article

General expression for linear and nonlinear time series models

Ren HUANG, Feiyun XU, Ruwen CHEN

Journal Article

Development of an axial-type fan with an optimization method

Chong-hyun CHO, Soo-yong CHO, Chaesil KIM,

Journal Article

Decreasing complexity of glucose time series derived from continuous glucose monitoring is correlated

Journal Article

Evaluation of measurement uncertainty of the high-speed variable-slit system based on the Monte Carlomethod

Yin ZHANG, Jianwei WU, Kunpeng XING, Zhongpu WEN, Jiubin TAN

Journal Article

Assessment of bridge expansion joints using long-term displacement measurement under changing environmental

Youliang DING, Aiqun LI

Journal Article

An approach for evaluating the impact of an intermittent renewable energy source on transmission expansion

Rongrit CHATTHAWORN,Surachai CHAITUSANEY

Journal Article