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Variational mode decomposition based modal parameter identification in civil engineering

Mingjie ZHANG, Fuyou XU

Frontiers of Structural and Civil Engineering 2019, Volume 13, Issue 5,   Pages 1082-1094 doi: 10.1007/s11709-019-0537-3

Abstract: An out-put only modal parameter identification method based on variational mode decomposition (VMD) isThe proposed identification method can straightforwardly extract the mode shape vectors using the modaldemonstrate the efficiency and highlight the superiority of the proposed method in modal parameter identificationThe proposed method is proved to be efficient and accurate in modal parameter identification for both

Keywords： modal parameter identification     variational mode decomposition     civil structure     nonlinear system     closely    

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Non-convex sparse optimization-based impact force identification with limited vibration measurements

Frontiers of Mechanical Engineering 2023, Volume 18, Issue 3, doi: 10.1007/s11465-023-0762-2

Abstract: Impact force identification is important for structure health monitoring especially in applications involvingDifferent from the traditional direct measurement method, the impact force identification technique is> regularization often identifies false forces in non-loaded regions, interfering with the accurate identificationmml:mtext>-ADMM is applied to solve the impact force identificationSimulations and experiments are performed on a composite plate to verify the identification accuracy

Keywords： impact force identification     inverse problem     sparse regularization     under-determined condition     alternating    

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Subsurface damage pattern and formation mechanism of monocrystalline -GaO in grinding process

Frontiers of Mechanical Engineering 2022, Volume 17, Issue 2, doi: 10.1007/s11465-022-0677-3

Abstract: The aim of this study is to investigate the damage pattern and formation mechanism of monocrystallineof the grinding principle, revealing the mechanism of the mechanical effect of grits on the damage pattern

Keywords： monocrystalline beta-phase gallium oxide     grinding process     subsurface damage     nanocrystals     amorphous phase    

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The research on structural damage identification using rough set and integrated neural network

Juelong LI, Hairui LI, Jianchun XING, Qiliang YANG

Frontiers of Mechanical Engineering 2013, Volume 8, Issue 3,   Pages 305-310 doi: 10.1007/s11465-013-0259-5

Abstract:

A huge amount of information and identification accuracy in large civil engineering structural damageidentification has not been addressed yet.To efficiently solve this problem, a new damage identification method based on rough set and integratedThe decision fusion network will give the final damage identification results.The identification examples show that this method can simplify the redundant information to reduce the

Keywords： rough set     integrated neural network     damage identification     decision making fusion    

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Characterization of hidden rules linking symptoms and selection of acupoint using an artificial neural network model

Won-Mo Jung, In-Soo Park, Ye-Seul Lee, Chang-Eop Kim, Hyangsook Lee, Dae-Hyun Hahm, Hi-Joon Park, Bo-Hyoung Jang, Younbyoung Chae

Frontiers of Medicine 2019, Volume 13, Issue 1,   Pages 112-120 doi: 10.1007/s11684-017-0582-z

Abstract: The pattern recognition process that pertains to symptoms and diseases and informs acupuncture treatmentThis model is a useful tool for diagnostic classification or pattern recognition and for the predictionselected acupoints could be systematically characterized through knowledge discovery processes, such as patternidentification.

Keywords： acupuncture     indication     neural network     pattern identification     prediction    

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SHIFTING TO A RECOMMENDED DIETARY PATTERN COULD PROMOTE SUSTAINABLE DEVELOPMENT OF THE ENVIRONMENT AND

Frontiers of Agricultural Science and Engineering 2023, Volume 10, Issue 1,   Pages 73-82 doi: 10.15302/J-FASE-2023489

Abstract: ItemContent>

● Shifting from the existing dietary patterns to the alternative recommended dietary pattern

Keywords： CHNS data     cluster analysis     dietary patterns     sustainable development    

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The influence of hand hole on the ultimate strength and crack pattern of shield tunnel segment joints

Shaochun WANG, Xi JIANG, Yun BAI

Frontiers of Structural and Civil Engineering 2019, Volume 13, Issue 5,   Pages 1200-1213 doi: 10.1007/s11709-019-0546-2

Abstract: A \ /-type crack pattern is always observed before the final failure of the segment joints.

Keywords： tunneling     structural synthetic fiber concrete     hand hole     segment joint     ultimate bearing capacity     crack pattern    

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Pattern Recognition With Fuzzy Central Clustering Algorithms

Zen Huanglin,Yuan Hui,Liu Xiaofang

Strategic Study of CAE 2004, Volume 6, Issue 11,   Pages 33-37

Abstract: constrained nonlinear programming, an approach of clustering center and a fuzzy membership function of patternfuzzy central cluster neural network proposed here can realize crisp decision or fuzzy decision in pattern

Keywords： fuzzy sets     central cluster     pattern recognition     neural network    

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Distinct gene expression pattern of mutations coordinated by target repression and promoter hypermethylation

Frontiers of Medicine 2022, Volume 16, Issue 4,   Pages 627-636 doi: 10.1007/s11684-020-0815-4

Abstract: Here, based on 1741 patients with AML, we report a unique expression pattern associated with RUNX1This expression pattern was coordinated by target repression and promoter hypermethylation.This study revealed the distinct gene expression pattern of RUNX1 mutations and the underlying

Keywords： RUNX1     gene mutation     acute myeloid leukemia     transcriptional repression     DNA methylation    

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Mechanical design, modeling, and identification for a novel antagonistic variable stiffness dexterous

Frontiers of Mechanical Engineering 2022, Volume 17, Issue 3, doi: 10.1007/s11465-022-0691-5

Abstract: Experimental results of the finger joint stiffness identification and finger impact tests under different

Keywords： multifingered hand     mechanism design     robot safety     variable stiffness actuator    

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Semantically condensed multi-relational frequent pattern discovery based on conjunctive query containment

Yang Bingru,Zhang Wei,Qian Rong

Strategic Study of CAE 2008, Volume 10, Issue 9,   Pages 47-53

Abstract: Multi-relational frequent pattern discovery approaches directly look for frequent patterns that involveWhile the state-of-the-art of multi-relational frequent pattern discovery approaches is based on theprogramming techniques, we propose an approach to semantically condensed multi-relational frequent patternunderstandability, function, efficiency and scalability of the state-of-the-art of multi-relational frequent pattern

Keywords： multi-relational data mining     frequent pattern discovery     conjunctive query     condensed pattern    

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Damage identification in connections of moment frames using time domain responses and an optimization

Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 4,   Pages 851-866 doi: 10.1007/s11709-021-0739-3

Abstract: In this study, an optimization-based method for joint damage identification of moment frames using theThen, the problem of joint damage identification is converted to a standard optimization problem.Then, a comparison between the proposed method and the existing damage identification method is provided

Keywords： damage identification     beam-to-column connection     time-domain response     optimization    

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Inverse identification of the mechanical parameters of a pipeline hoop and analysis of the effect of

Ye GAO, Wei SUN

Frontiers of Mechanical Engineering 2019, Volume 14, Issue 3,   Pages 358-368 doi: 10.1007/s11465-019-0539-9

Abstract: On the premise of selecting initial values reasonably, an inverse identification algorithm based on sensitivityAfter introducing the identified values into the analysis model, the reliability of the identification

Keywords： inverse identification     pipeline hoop     frequency response function     mechanical parameters     preload    

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F-FDG-PET glucose hypometabolism pattern in patients with epileptogenic hypothalamic hamartoma

Frontiers of Medicine 2021, Volume 15, Issue 6,   Pages 913-921 doi: 10.1007/s11684-021-0874-1

Abstract: A systematic analysis of the overall brain metabolic pattern in patients with hypothalamic hamartomaAssessment of the whole metabolic pattern in patients with HH revealed several regional metabolic reductionsIn conclusion, the glucose hypometabolism pattern in patients with epileptogenic HH involved the neocortex

Keywords： hypothalamic hamartoma     gelastic seizure     fluorodeoxyglucose-positron emission tomography     voxel-based morphometry    

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A super-element approach for structural identification in time domain

LI Jie, ZHAO Xin

Frontiers of Mechanical Engineering 2006, Volume 1, Issue 2,   Pages 215-221 doi: 10.1007/s11465-006-0004-4

Abstract: For most time-domain identification methods, a complete measurement for unique identification resultsnumber of structural degrees of freedom (DOFs) in practical applications, and thus make the time-domain identificationThe super-element model used for time domain identification is first discussed in this study.parameterization procedure based on the sensitivities of response forces is introduced to establish the identificationSome principles are suggested on effective decomposing of the whole structure into super-elements for identification

Keywords： numerical     effective decomposing     parameterization procedure     divide-and-conquer ability     time-domain identification    

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Title Author Date Type Operation

Variational mode decomposition based modal parameter identification in civil engineering

Mingjie ZHANG, Fuyou XU

Journal Article

Non-convex sparse optimization-based impact force identification with limited vibration measurements

Journal Article

Subsurface damage pattern and formation mechanism of monocrystalline -GaO in grinding process

Journal Article

The research on structural damage identification using rough set and integrated neural network

Juelong LI, Hairui LI, Jianchun XING, Qiliang YANG

Journal Article

Characterization of hidden rules linking symptoms and selection of acupoint using an artificial neural network model

Won-Mo Jung, In-Soo Park, Ye-Seul Lee, Chang-Eop Kim, Hyangsook Lee, Dae-Hyun Hahm, Hi-Joon Park, Bo-Hyoung Jang, Younbyoung Chae

Journal Article

SHIFTING TO A RECOMMENDED DIETARY PATTERN COULD PROMOTE SUSTAINABLE DEVELOPMENT OF THE ENVIRONMENT AND

Journal Article

The influence of hand hole on the ultimate strength and crack pattern of shield tunnel segment joints

Shaochun WANG, Xi JIANG, Yun BAI

Journal Article

Pattern Recognition With Fuzzy Central Clustering Algorithms

Zen Huanglin,Yuan Hui,Liu Xiaofang

Journal Article

Distinct gene expression pattern of mutations coordinated by target repression and promoter hypermethylation

Journal Article

Mechanical design, modeling, and identification for a novel antagonistic variable stiffness dexterous

Journal Article

Semantically condensed multi-relational frequent pattern discovery based on conjunctive query containment

Yang Bingru,Zhang Wei,Qian Rong

Journal Article

Damage identification in connections of moment frames using time domain responses and an optimization

Journal Article

Inverse identification of the mechanical parameters of a pipeline hoop and analysis of the effect of

Ye GAO, Wei SUN

Journal Article

F-FDG-PET glucose hypometabolism pattern in patients with epileptogenic hypothalamic hamartoma

Journal Article

A super-element approach for structural identification in time domain

LI Jie, ZHAO Xin

Journal Article