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Journal Article 125

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tracking 4

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An Ultracompact Spoof Surface Plasmon Sensing System for Adaptive and Accurate Detection of Gas Using a Smartphone

Xuanru Zhang,Jia Wen Zhu,Tie Jun Cui,

Engineering doi: 10.1016/j.eng.2023.05.013

Abstract: dielectric sensing has superior sensitivity and accuracy because the signal is measured from relative resonanceFor applications in the Internet of Things (IoT), accurate detection of resonance frequency shifts usingand made the detection adaptive to the target resonance.A microwave spoof surface plasmon resonator was designed to enhance sensitivity and resonance intensitytracking mode and achieving a signal-to-noise ratio of 69 dB in acetone vapor sensing.

Keywords: Spoof surface plasmons     Internet of Things     Integrated sensing     Resonance tracking     Microwave sensing    

Multi-harmonic forced vibration and resonance of simple beams to moving vehicles

Frontiers of Structural and Civil Engineering   Pages 981-993 doi: 10.1007/s11709-023-0979-5

Abstract: of a linear elastic simple Euler–Bernoulli beam, and investigated the forced modal oscillation and resonanceThe analysis revealed that a moving load induces high-harmonic forced resonance amplification when theTo verify the occurrence of high-harmonic forced resonance, numerical tests were conducted on single-spanThe forced resonance amplification characteristics of the fundamental mode for beam response estimationThe results reveal that the high-harmonic forced resonance may be significant for the investigated beams

Keywords: forced vibration     linear Euler beam     moving load     harmonic structure     frequency modulation     end restraints    

Sectional model test study on vortex-excited resonance of vehicle-bridge system of Shanghai Bridge over

Li ZHOU, Yaojun GE

Frontiers of Structural and Civil Engineering 2009, Volume 3, Issue 1,   Pages 67-72 doi: 10.1007/s11709-009-0007-4

Abstract: It is necessary to study how vehicles influence the vortex-excited resonance of vehicle-bridge systems, because lock-in wind speed is low and vortex-excited resonance is sensitive to any change in the mainBased on the Shanghai Bridge over the Yangtse River, the vortex-excited resonance of a 1∶60 scale sectionalThe result indicates that: 1) for the bridge with vehicles, the vertical vortex-excited resonance isTherefore, the influence of vehicles on vortex-excited resonance performance of vehicle-bridge systems

Keywords: vehicle-bridge system     sectional mode     vortex-excited resonance     wind tunnel test     mode shape correction    

Discovery of the mechanisms of acupuncture in the treatment of migraine based on functional magnetic resonance

Frontiers of Medicine   Pages 993-1005 doi: 10.1007/s11684-023-0989-7

Abstract: The functional magnetic resonance imaging (fMRI) data were analyzed for investigating brain changes induced

Keywords: acupuncture     migraine     fMRI     metabolome     proteome    

Extended stochastic resonance (SR) and its applications in weak mechanical signal processing

Niaoqing HU, Min CHEN, Guojun QIN, Lurui XIA, Zhongyin PAN, Zhanhui FENG,

Frontiers of Mechanical Engineering 2009, Volume 4, Issue 4,   Pages 450-461 doi: 10.1007/s11465-009-0072-3

Abstract: This paper presents a method based on stochastic resonance (SR) to detect weak fault signal.

Keywords: extended stochastic resonance (SR)     stability analysis of SR     scale transform     weak signal detection     incipient    

Output tracking control of mobile manipulators based on dynamical sliding-mode control

WUYuxiang, FENG Ying, HU Yueming

Frontiers of Mechanical Engineering 2007, Volume 2, Issue 1,   Pages 110-115 doi: 10.1007/s11465-007-0019-5

Abstract: Moreover, a design method of the dynamical sliding-mode controller that is applied to the output tracking

Keywords: lower-dimensional     nonlinear     trajectory     tracking     diffeomorphism    

Dynamic Target Tracking of Unmanned Aerial Vehicles Under Unpredictable Disturbances

Yanjie Chen,Yangning Wu,Limin Lan,Hang Zhong,Zhiqiang Miao,Hui Zhang,Yaonan Wang,

Engineering doi: 10.1016/j.eng.2023.05.017

Abstract: visual servoing (IBVS) method based on a velocity observer for an unmanned aerial vehicle (UAV) for trackingThe depth model ensures image feature accuracy and image trajectory smoothness in rotating target trackingComparative simulations and multistage experiments are conducted to illustrate the tracking stability, anti-disturbance ability, and tracking robustness of the proposed method with a dynamic rotating target

Keywords: Unmanned aerial vehicle     Visual servoing     Velocity observer     Target tracking    

Design of hydraulic resonance of pulsed water - jet

Pu Jianing,Chen Ming

Strategic Study of CAE 2009, Volume 11, Issue 2,   Pages 36-42

Abstract: conduit respectively , and elaborately structuring conditions of water jet system , a strong hydraulic resonanceThe conditions of desirable resonance are searched by direct search algorithm of Matlab .

Keywords: pulsed water- jet     hydraulic resonance     method of characteristics     variable time step method     Matlab    

Wheel tracking methods to evaluate moisture sensitivity of hot-mix asphalt mixtures

Jie HAN,Harihar Shiwakoti

Frontiers of Structural and Civil Engineering 2016, Volume 10, Issue 1,   Pages 30-43 doi: 10.1007/s11709-016-0318-1

Abstract: This research focused on wheel tracking devices to evaluate moisture sensitivity.The Asphalt Pavement Analyzer (APA) and the Hamburg Wheel Tracking Device (HWTD) were used for this research

Keywords: hot-mix asphalt     moisture sensitivity     rutting     wheel tracking test    

Fractional order extremum seeking approach for maximum power point tracking of photovoltaic panels

Ammar NEÇAIBIA,Samir LADACI,Abdelfatah CHAREF,Jean Jacques LOISEAU

Frontiers in Energy 2015, Volume 9, Issue 1,   Pages 43-53 doi: 10.1007/s11708-014-0343-5

Abstract: In this paper, an integrated framework was proposed, which achieved both maximum power point tracking

Keywords: (ES)     fractional order control (FOC)     fractional calculus     photovoltaic (PV) panel     maximum power point tracking    

Time-varying formation tracking for uncertain second-order nonlinearmulti-agent systems

Mao-peng RAN, Li-hua XIE, Jun-cheng LI

Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 1,   Pages 76-87 doi: 10.1631/FITEE.1800557

Abstract:

Our study is concerned with the time-varying formation tracking problem for second-order multi-agentexternal disturbance, and the states of the followers form a predefined time-varying formation while trackingThen we propose a novel ESO based time-varying formation tracking protocol.is proved that, under the proposed protocol, the ESO estimation error and the time-varying formation tracking

Keywords: Multi-agent system     Time-varying formation     Formation tracking     Nonlinear dynamics     Extended state observer    

A comprehensive simulator for assessing the reliability of a photovoltaic panel peak power tracking system

Nabil KAHOUL,Mourad HOUABES,Ammar NEÇAIBIA

Frontiers in Energy 2015, Volume 9, Issue 2,   Pages 170-179 doi: 10.1007/s11708-015-0353-y

Abstract: When designing a maximum power point tracking (MPPT) algorithm, it is often difficult to correctly predict

Keywords: photovoltaic module     DC-DC converter     design     maximum power point tracking (MPPT) card     microprocessor    

Task-space position/attitude tracking control of FAST fine tuning system

QI Lin, ZHANG Hui, DUAN Guanghong

Frontiers of Mechanical Engineering 2008, Volume 3, Issue 4,   Pages 392-399 doi: 10.1007/s11465-008-0056-8

Abstract: This paper addresses the task-space position/attitude tracking control of a suspended parallel robot,a novel model-independent task-space PD controller that ensures end-effector position and attitude tracking

Keywords: telescope     five-hundred     end-effector     controller     simulation    

Tacholess order-tracking approach for wind turbine gearbox fault detection

Yi WANG, Yong XIE, Guanghua XU, Sicong ZHANG, Chenggang HOU

Frontiers of Mechanical Engineering 2017, Volume 12, Issue 3,   Pages 427-439 doi: 10.1007/s11465-017-0452-z

Abstract: Although order-tracking methods have been proposed for wind turbine fault detection in recent years,In this study, a tacholess order-tracking method for wind turbines is proposed to overcome the limitations

Keywords: wind turbine     variable-speed operating conditions     Vold-Kalman filtering     tacholess order tracking    

Machine learning for detecting mesial temporal lobe epilepsy by structural and functional neuroimaging

Baiwan Zhou, Dongmei An, Fenglai Xiao, Running Niu, Wenbin Li, Wei Li, Xin Tong, Graham J Kemp, Dong Zhou, Qiyong Gong, Du Lei

Frontiers of Medicine 2020, Volume 14, Issue 5,   Pages 630-641 doi: 10.1007/s11684-019-0718-4

Abstract: Mesial temporal lobe epilepsy (mTLE), the most common type of focal epilepsy, is associated with functional and structural brain alterations. Machine learning (ML) techniques have been successfully used in discriminating mTLE from healthy controls. However, either functional or structural neuroimaging data are mostly used separately as input, and the opportunity to combine both has not been exploited yet. We conducted a multimodal ML study based on functional and structural neuroimaging measures. We enrolled 37 patients with left mTLE, 37 patients with right mTLE, and 74 healthy controls and trained a support vector ML model to distinguish them by using each measure and the combinations of the measures. For each single measure, we obtained a mean accuracy of 74% and 69% for discriminating left mTLE and right mTLE from controls, respectively, and 64% when all patients were combined. We achieved an accuracy of 78% by integrating functional data and 79% by integrating structural data for left mTLE, and the highest accuracy of 84% was obtained when all functional and structural measures were combined. These findings suggest that combining multimodal measures within a single model is a promising direction for improving the classification of individual patients with mTLE.

Keywords: mesial temporal lobe epilepsy     functional magnetic resonance imaging     structural magnetic resonance imaging    

Title Author Date Type Operation

An Ultracompact Spoof Surface Plasmon Sensing System for Adaptive and Accurate Detection of Gas Using a Smartphone

Xuanru Zhang,Jia Wen Zhu,Tie Jun Cui,

Journal Article

Multi-harmonic forced vibration and resonance of simple beams to moving vehicles

Journal Article

Sectional model test study on vortex-excited resonance of vehicle-bridge system of Shanghai Bridge over

Li ZHOU, Yaojun GE

Journal Article

Discovery of the mechanisms of acupuncture in the treatment of migraine based on functional magnetic resonance

Journal Article

Extended stochastic resonance (SR) and its applications in weak mechanical signal processing

Niaoqing HU, Min CHEN, Guojun QIN, Lurui XIA, Zhongyin PAN, Zhanhui FENG,

Journal Article

Output tracking control of mobile manipulators based on dynamical sliding-mode control

WUYuxiang, FENG Ying, HU Yueming

Journal Article

Dynamic Target Tracking of Unmanned Aerial Vehicles Under Unpredictable Disturbances

Yanjie Chen,Yangning Wu,Limin Lan,Hang Zhong,Zhiqiang Miao,Hui Zhang,Yaonan Wang,

Journal Article

Design of hydraulic resonance of pulsed water - jet

Pu Jianing,Chen Ming

Journal Article

Wheel tracking methods to evaluate moisture sensitivity of hot-mix asphalt mixtures

Jie HAN,Harihar Shiwakoti

Journal Article

Fractional order extremum seeking approach for maximum power point tracking of photovoltaic panels

Ammar NEÇAIBIA,Samir LADACI,Abdelfatah CHAREF,Jean Jacques LOISEAU

Journal Article

Time-varying formation tracking for uncertain second-order nonlinearmulti-agent systems

Mao-peng RAN, Li-hua XIE, Jun-cheng LI

Journal Article

A comprehensive simulator for assessing the reliability of a photovoltaic panel peak power tracking system

Nabil KAHOUL,Mourad HOUABES,Ammar NEÇAIBIA

Journal Article

Task-space position/attitude tracking control of FAST fine tuning system

QI Lin, ZHANG Hui, DUAN Guanghong

Journal Article

Tacholess order-tracking approach for wind turbine gearbox fault detection

Yi WANG, Yong XIE, Guanghua XU, Sicong ZHANG, Chenggang HOU

Journal Article

Machine learning for detecting mesial temporal lobe epilepsy by structural and functional neuroimaging

Baiwan Zhou, Dongmei An, Fenglai Xiao, Running Niu, Wenbin Li, Wei Li, Xin Tong, Graham J Kemp, Dong Zhou, Qiyong Gong, Du Lei

Journal Article