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Exploring self-organization and self-adaption for smart manufacturing complex networks

Frontiers of Engineering Management 2023, Volume 10, Issue 2,   Pages 206-222 doi: 10.1007/s42524-022-0225-1

Abstract: this context, this paper investigates the mechanisms and methodology of self-organization and self-adaptionmanagers and practitioners to implement active perception, active response, self-organization, and self-adaption

Keywords： systems     Industrial Internet of Things     smart manufacturing complex networks     self-organization and self-adaption    

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Time-domain and frequency-domain approaches to identification of bridge flutter derivatives

Zhengqing CHEN

Frontiers of Structural and Civil Engineering 2009, Volume 3, Issue 2,   Pages 173-179 doi: 10.1007/s11709-009-0034-1

Abstract: method and a frequency-domain method.It was shown that all the flutter derivatives of the thin-plate model identified with the frequency-domainmethod and time-domain method, respectively, agree very well.More precisely, the frequency-domain method usually results in smooth curves of the flutter derivativesThe formulation of time-domain method makes the identification results of flutter derivatives relatively

Keywords： long-span bridges     wind-induced vibration     flutter derivatives     forced vibration test     time-domain method     frequency-domain method    

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Multi-View Point-Based Registration for Native Knee Kinematics Measurement with Feature Transfer Learning Article

Cong Wang, Shuaining Xie, Kang Li, Chongyang Wang, Xudong Liu, Liang Zhao, Tsung-Yuan Tsai

Engineering 2021, Volume 7, Issue 6,   Pages 881-888 doi: 10.1016/j.eng.2020.03.016

Abstract:

Deep-learning methods provide a promising approach for measuring in-vivo knee joint motion from fast registration of two-dimensional (2D) to three-dimensional (3D) data with a broad range of capture. However, if there are insufficient data for training, the data-driven approach will fail. We propose a feature-based transfer-learning method to extract features from fluoroscopic images. With three subjects and fewer than 100 pairs of real fluoroscopic images, we achieved a mean registration success rate of up to 40%. The proposed method provides a promising solution, using a learning-based registration method when only a limited number of real fluoroscopic images is available.

Keywords： 2D–3D registration     Machine learning     Domain adaption     Point correspondence    

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Entity and relation extraction with rule-guided dictionary as domain knowledge

Frontiers of Engineering Management   Pages 610-622 doi: 10.1007/s42524-022-0226-0

Abstract: Entity and relation extraction is an indispensable part of domain knowledge graph construction, whichcan serve relevant knowledge needs in a specific domain, such as providing support for product research, sales, risk control, and domain hotspot analysis.However, the performance of these methods degrades when they face domain-specific datasets.To address the problems above, this paper first introduced prior knowledge composed of domain dictionaries

Keywords： entity extraction     relation extraction     prior knowledge     domain rule    

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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: study, an optimization-based method for joint damage identification of moment frames using the time-domain

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

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Terahertz time-domain spectroscopy of high-pressure flames

Jason BASSI, Mark STRINGER, Bob MILES, Yang ZHANG

Frontiers in Energy 2009, Volume 3, Issue 2,   Pages 123-133 doi: 10.1007/s11708-009-0033-x

Abstract: Laser spectroscopy in the visible and near infrared is widely used as a diagnostic tool for combustion devices, but this approach is difficult at high pressures within a sooty flame itself. High soot concentrations render flames opaque to visible light, but they remain transparent to far-infrared or terahertz (THz) radiation. The first far-infrared absorption spectra, to the best of our knowledge, of sooty, non-premixed, ethylene high-pressure flames covering the region of 0.2-2.5 THz is presented. A specially designed high-pressure burner which is optically accessible to THz radiation has been built allowing flame transmission measurements up to pressures of 1.6 MPa. Calculations of the theoretical combustion species absorption spectra in the 0.2-3 THz range have shown that almost all the observable features arise from H O. A few OH (1.84 and 2.51 THz), CH (2.58 THz), and NH (1.77 and 2.95 THz) absorption lines are also observable in principle. A large number of H O absorption lines are observed in the ground vibrational in a laminar non-premixed, sooty flame (ethylene) at pressures up to 1.6 MPa.

Keywords： terahertz time-domain spectroscopy     high-pressure flames     H2O absorption lines    

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framework for underground structures in layered ground under inclined P-SV waves using stiffness matrix and domain

Frontiers of Structural and Civil Engineering 2023, Volume 17, Issue 1,   Pages 10-24 doi: 10.1007/s11709-022-0904-3

Abstract: Then, the domain reduction method was employed to reproduce the wavefield in the numerical model of the

Keywords： underground structures     seismic response     stiffness matrix method     domain reduction method     P-SV waves    

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Dynamic parameterized learning for unsupervised domain adaptation Research Article

Runhua JIANG, Yahong HAN

Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 11,   Pages 1616-1632 doi: 10.1631/FITEE.2200631

Abstract: enables neural networks to transfer from a labeled source domain to an unlabeled target domain by learningdomain-invariant representations.First, by exploring domain-level semantic knowledge, the dynamic alignment parameter is proposed, toBesides, for obtaining semantic-discriminative and domain-invariant representations, we propose to align

Keywords： Unsupervised domain adaptation     Optimization steps     Domain alignment     Semantic discrimination    

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Layer-wise domain correction for unsupervised domain adaptation Article

Shuang LI, Shi-ji SONG, Cheng WU

Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 1,   Pages 91-103 doi: 10.1631/FITEE.1700774

Abstract: To address the domain shift or data bias problems, we introduce layer-wise domain correction (LDC), anew unsupervised domain adaptation algorithm which adapts an existing deep network through additiveThe corrections that are trained via maximum mean discrepancy, adapt to the target domain while increasing

Keywords： Unsupervised domain adaptation     Maximum mean discrepancy     Residual network     Deep learning    

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Time-dependent metabolomics uncover dynamic metabolic adaptions in MCF-7 cells exposed to bisphenol A

Frontiers of Environmental Science & Engineering 2023, Volume 17, Issue 1, doi: 10.1007/s11783-023-1604-5

Abstract:

● Metabolomic temporal profiling of cells exposed to xenobiotics.

Keywords： Metabolomics     BPA     MCF-7     Temporal profiling     Metabolic adaption     Dysregulation correlation    

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Frequency domain a9ctive vibration control of a flexible plate based on neural networks

Jinxin LIU, Xuefeng CHEN, Zhengjia HE

Frontiers of Mechanical Engineering 2013, Volume 8, Issue 2,   Pages 109-117 doi: 10.1007/s11465-013-0252-z

Abstract: Multi-frequency control in frequency domain was achieved by simulation through the NN-based control systems

Keywords： active vibration control (AVC)     neural network (NN)     low frequency noise     frequency domain control     multi-frequency    

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Thermal reffusivity: uncovering phonon behavior, structural defects, and domain size

Yangsu XIE, Bowen ZHU, Jing LIU, Zaoli XU, Xinwei WANG

Frontiers in Energy 2018, Volume 12, Issue 1,   Pages 143-157 doi: 10.1007/s11708-018-0520-z

Abstract: Like electrical resistivity which has been historically used as a theory for analyzing structural domaindefect levels of metals, the thermal reffusivity can also uncover phonon behavior, structure defects and domainFrom the residual thermal reffusivity at the 0 K limit, the structural thermal domain (STD) size of crystalline

Keywords： thermal reffusivity theory     phonon behavior     structure defects     structural thermal domain (STD) size     2D    

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FERM domain-containing protein FRMD6 activates the mTOR signaling pathway and promotes lung cancer progression

Frontiers of Medicine 2023, Volume 17, Issue 4,   Pages 714-728 doi: 10.1007/s11684-022-0959-5

Abstract: FRMD6, a member of the 4.1 ezrin–radixin–moesin domain-containing protein family, has been reported to

Keywords： FRMD6     lung cancer     mTOR pathway    

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Real-time tool condition monitoring method based on temperature measurement and artificial neural network in turning

Frontiers of Mechanical Engineering doi: 10.1007/s11465-021-0661-3

Abstract: A learning rate adaption algorithm is introduced, greatly reducing the dependence on initial parameters

Keywords： tool condition monitoring     cutting temperature     neural network     learning rate adaption    

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Analytical method of capsizing probability in the time domain for ships in the random beam seas

LIU Liqin, TANG Yougang, LI Hongxia

Frontiers of Structural and Civil Engineering 2007, Volume 1, Issue 3,   Pages 361-366 doi: 10.1007/s11709-007-0048-5

Abstract: The random rolling differential equation was solved in the time domain by applying the harmonic acceleration

Keywords： different     survival probability     different significant     nonlinear differential     narrowband    

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Title Author Date Type Operation

Exploring self-organization and self-adaption for smart manufacturing complex networks

Journal Article

Time-domain and frequency-domain approaches to identification of bridge flutter derivatives

Zhengqing CHEN

Journal Article

Multi-View Point-Based Registration for Native Knee Kinematics Measurement with Feature Transfer Learning

Cong Wang, Shuaining Xie, Kang Li, Chongyang Wang, Xudong Liu, Liang Zhao, Tsung-Yuan Tsai

Journal Article

Entity and relation extraction with rule-guided dictionary as domain knowledge

Journal Article

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

Journal Article

Terahertz time-domain spectroscopy of high-pressure flames

Jason BASSI, Mark STRINGER, Bob MILES, Yang ZHANG

Journal Article

framework for underground structures in layered ground under inclined P-SV waves using stiffness matrix and domain

Journal Article

Dynamic parameterized learning for unsupervised domain adaptation

Runhua JIANG, Yahong HAN

Journal Article

Layer-wise domain correction for unsupervised domain adaptation

Shuang LI, Shi-ji SONG, Cheng WU

Journal Article

Time-dependent metabolomics uncover dynamic metabolic adaptions in MCF-7 cells exposed to bisphenol A

Journal Article

Frequency domain a9ctive vibration control of a flexible plate based on neural networks

Jinxin LIU, Xuefeng CHEN, Zhengjia HE

Journal Article

Thermal reffusivity: uncovering phonon behavior, structural defects, and domain size

Yangsu XIE, Bowen ZHU, Jing LIU, Zaoli XU, Xinwei WANG

Journal Article

FERM domain-containing protein FRMD6 activates the mTOR signaling pathway and promotes lung cancer progression

Journal Article

Real-time tool condition monitoring method based on temperature measurement and artificial neural network in turning

Journal Article

Analytical method of capsizing probability in the time domain for ships in the random beam seas

LIU Liqin, TANG Yougang, LI Hongxia

Journal Article