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Parametric control of structural responses using an optimal passive tuned mass damper under stationary Gaussianwhite noise excitations

Min-Ho CHEY, Jae-Ung KIM

Frontiers of Structural and Civil Engineering 2012, Volume 6, Issue 3,   Pages 267-280 doi: 10.1007/s11709-012-0170-x

Abstract: parameters of a TMD, such as the optimal tuning frequency and optimal damping ratio, to stationary Gaussianwhite noise acceleration are investigated by using a parametric optimization procedure.

Keywords： tuned mass damper     parametric optimization     passive control     white noise     earthquake excitation    

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Adaptive network fuzzy inference system based navigation controller for mobile robot Research Article

Panati SUBBASH, Kil To CHONG

Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 2,   Pages 141-151 doi: 10.1631/FITEE.1700206

Abstract: Additive white Gaussian noise has been added to the sensor readings and fed to the trained ANFIS controllerduring mobile robot navigation, to account for the effect of environmental noise on sensor readings.

Keywords： Adaptive network fuzzy inference system     Additive white Gaussian noise     Autonomous navigation     Mobile robot    

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Simulation and analysis of grinding wheel based on Gaussian mixture model

Yulun CHI, Haolin LI

Frontiers of Mechanical Engineering 2012, Volume 7, Issue 4,   Pages 427-432 doi: 10.1007/s11465-012-0350-3

Abstract: The Gaussian mixture model (GMM) is used to transform the measured non-Gaussian field to Gaussian fields

Keywords： grinding wheel     3D topographies measurement     Gaussian mixture model     simulation    

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Loss of monocarboxylate transporter 1 aggravates white matter injury after experimental subarachnoid

Frontiers of Medicine 2021, Volume 15, Issue 6,   Pages 887-902 doi: 10.1007/s11684-021-0879-9

Abstract: Subarachnoid hemorrhage (SAH) induces white matter injury, but the involvement of MCT1 is unclear.this study, the SAH model of adult male Sprague-Dawley rats was used to explore the role of MCT1 in whiteoligodendrocyte MCT1 was significantly reduced, and the exogenous overexpression of MCT1 significantly improved whiteThis study confirmed that the loss of MCT1 may be one of the mechanisms of white matter damage after

Keywords： microRNAs     monocarboxylate transporter 1     motor training     subarachnoid hemorrhage     white matter injury    

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Production of a polyclonal antibody to the VP26 nucleocapsid protein of white spot syndrome virus (wssv

Suchera LOYPRASERT-THANANIMIT, Akrapon SALEEDANG, Proespichaya KANATHARANA, Panote THAVARUNGKUL, Wilaiwan CHOTIGEAT

Frontiers of Chemical Science and Engineering 2012, Volume 6, Issue 2,   Pages 216-223 doi: 10.1007/s11705-012-1289-y

Abstract: White spot syndrome virus (WSSV) is a major cause of high mortality in cultured shrimp all over the world

Keywords： recombinant protein     polyclonal antibody     label-free biosensor     impedance     white spot syndrome virus (WSSV    

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

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: based on modified structure analysis and globality and locality preserving (MSAGL) projection, for non-Gaussianlocality preserving projection to analyze the embedding geometrical manifold and extracting the non-Gaussian

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

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A microarray study of altered gene expression during melanoblasts migration in normal pigmented White

Yulin LI,Deping HAN,Junying LI,Dawn KOLTES,Xuemei DENG

Frontiers of Agricultural Science and Engineering 2014, Volume 1, Issue 4,   Pages 299-306 doi: 10.15302/J-FASE-2014040

Abstract: In this study, we used microarray profiling to identify differences in gene expression between Whiteexpression of 2517 microarray probes ( <0.01, Fold Change>2) was observed in Silky Fowl compared to WhiteMoreover, differences in expression of immune genes were also detected between Silky Fowl and White Leghorn

Keywords： Silky Fowl     White Leghorn     melanoblast migration     gene expression    

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Determination of effective stress parameter of unsaturated soils: A Gaussian process regression approach

Pijush Samui, Jagan J

Frontiers of Structural and Civil Engineering 2013, Volume 7, Issue 2,   Pages 133-136 doi: 10.1007/s11709-013-0202-1

Abstract: This article examines the capability of Gaussian process regression (GPR) for prediction of effective

Keywords： unsaturated soil     effective stress parameter     Gaussian process regression (GPR)     artificial neural network    

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Inverse Gaussian process-based corrosion growth modeling and its application in the reliability analysis

Hao QIN, Shenwei ZHANG, Wenxing ZHOU

Frontiers of Structural and Civil Engineering 2013, Volume 7, Issue 3,   Pages 276-287 doi: 10.1007/s11709-013-0207-9

Abstract: This paper describes an inverse Gaussian process-based model to characterize the growth of metal-loss

Keywords： pipeline     metal-loss corrosion     inverse Gaussian process     measurement error     hierarchical Bayesian     Markov    

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operation in the presence of different random noises and uncertainty: Implementation of generalized Gaussian

Nasser L. AZAD,Ahmad MOZAFFARI

Frontiers of Mechanical Engineering 2015, Volume 10, Issue 4,   Pages 405-412 doi: 10.1007/s11465-015-0354-x

Abstract: Here, the authors introduce a random noise to experimentally derived data and simulate an uncertain databaseThen, by using a Gaussian process regression machine (GPRM), a reliable model is used for the sake of

Keywords： automotive engine     calibration     coldstart operation     Gaussian process regression machine (GPRM)     uncertainty    

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prediction method for remaining useful life of lithium-ion batteries based on a neural network and Gaussian

Frontiers in Energy doi: 10.1007/s11708-023-0906-4

Abstract: prediction accuracy of the RUL of LIBs, a two-phase RUL early prediction method combining neural network and Gaussian

Keywords： lithium-ion batteries     RUL prediction     double exponential model     neural network     Gaussian process regression    

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Additive Design and Manufacturing of Jet Engine Parts

Pinlian Han

Engineering 2017, Volume 3, Issue 5,   Pages 648-652 doi: 10.1016/J.ENG.2017.05.017

Abstract:

The additive design (AD) and additive manufacturing (AM) of jet engine parts will revolutionize the

Keywords： Additive manufacturing     Additive design     Jet engine     Porous structure    

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reduces IgE binding ability of allergenic egg white proteins

Sen LI, Marina OFFENGENDEN, Michael G. GÄNZLE, Jianping WU

Frontiers of Agricultural Science and Engineering 2018, Volume 5, Issue 3,   Pages 373-381 doi: 10.15302/J-FASE-2018210

Abstract:

Egg white proteins are one of the major allergens.was to investigate the effect of Aspergillus oryzae cultivation on IgE binding ability of egg whiteEffect of A. oryzae on egg white proteins was determined using ninhydrin method, SDS-PAGE, ELISAA. oryzae ATCC 1011 and 16868 substantially reduced the IgE binding ability of acidified egg whiteThe binding capacity of egg white proteins to IgE in plasma from four egg allergy patients was almost

Keywords： Aspergillus oryzae     egg allergy     egg white proteins     IgE-binding ability     ovomucoid    

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Design of noise-reduction seats for high-speed trains

Xiaojun DENG, Yanju ZHAO, Haijin ZHANG, Renzhong SHUAI, Leiwei ZHU

Frontiers of Mechanical Engineering 2018, Volume 13, Issue 3,   Pages 385-389 doi: 10.1007/s11465-017-0438-x

Abstract: reduce noise.interior noise spectral characteristics.seats substantially reduced the noise in an entire train car.noise level at a standard point in the passenger car by 1.5 dB.Therefore, the noise-reduction seats are effective in noise reduction.

Keywords： high-speed train     sound-absorbing materials     perforated board     noise-reduction seats    

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Compressive behavior and energy absorption of polymeric lattice structures made by additive manufacturing

Sheng WANG, Jun WANG, Yingjie XU, Weihong ZHANG, Jihong ZHU

Frontiers of Mechanical Engineering 2020, Volume 15, Issue 2,   Pages 319-327 doi: 10.1007/s11465-019-0549-7

Abstract: Lattice structures have numerous outstanding characteristics, such as light weight, high strength, excellent shock resistance, and highly efficient heat dissipation. In this work, by combining experimental and numerical methods, we investigate the compressive behavior and energy absorption of lattices made through the stereolithography apparatus process. Four types of lattice structures are considered: (i) Uniform body-centered-cubic (U-BCC); (ii) graded body-centered-cubic (G-BCC); (iii) uniform body-centered-cubic with -axis reinforcement (U-BCCz); and (iv) graded body-centered-cubic with -axis reinforcement (G-BCCz). We conduct compressive tests on these four lattices and numerically simulate the compression process through the finite element method. Analysis results show that BCCz has higher modulus and strength than BCC. In addition, uniform lattices show better energy absorption capabilities at small compression distances, while graded lattices absorb more energy at large compression distances. The good correlation between the simulation results and the experimental phenomena demonstrates the validity and accuracy of the present investigation method.

Keywords： lattice structure     polymer     compressive behavior     additive manufacturing     simulation    

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Title Author Date Type Operation

Parametric control of structural responses using an optimal passive tuned mass damper under stationary Gaussianwhite noise excitations

Min-Ho CHEY, Jae-Ung KIM

Journal Article

Adaptive network fuzzy inference system based navigation controller for mobile robot

Panati SUBBASH, Kil To CHONG

Journal Article

Simulation and analysis of grinding wheel based on Gaussian mixture model

Yulun CHI, Haolin LI

Journal Article

Loss of monocarboxylate transporter 1 aggravates white matter injury after experimental subarachnoid

Journal Article

Production of a polyclonal antibody to the VP26 nucleocapsid protein of white spot syndrome virus (wssv

Suchera LOYPRASERT-THANANIMIT, Akrapon SALEEDANG, Proespichaya KANATHARANA, Panote THAVARUNGKUL, Wilaiwan CHOTIGEAT

Journal Article

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

Xin Peng, Yang Tang, Wenli Du, Feng Qian

Journal Article

A microarray study of altered gene expression during melanoblasts migration in normal pigmented White

Yulin LI,Deping HAN,Junying LI,Dawn KOLTES,Xuemei DENG

Journal Article

Determination of effective stress parameter of unsaturated soils: A Gaussian process regression approach

Pijush Samui, Jagan J

Journal Article

Inverse Gaussian process-based corrosion growth modeling and its application in the reliability analysis

Hao QIN, Shenwei ZHANG, Wenxing ZHOU

Journal Article

operation in the presence of different random noises and uncertainty: Implementation of generalized Gaussian

Nasser L. AZAD,Ahmad MOZAFFARI

Journal Article

prediction method for remaining useful life of lithium-ion batteries based on a neural network and Gaussian

Journal Article

Additive Design and Manufacturing of Jet Engine Parts

Pinlian Han

Journal Article

reduces IgE binding ability of allergenic egg white proteins

Sen LI, Marina OFFENGENDEN, Michael G. GÄNZLE, Jianping WU

Journal Article

Design of noise-reduction seats for high-speed trains

Xiaojun DENG, Yanju ZHAO, Haijin ZHANG, Renzhong SHUAI, Leiwei ZHU

Journal Article

Compressive behavior and energy absorption of polymeric lattice structures made by additive manufacturing

Sheng WANG, Jun WANG, Yingjie XU, Weihong ZHANG, Jihong ZHU

Journal Article