Search Results - "Fan, Zichuan"

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  1. 1

    Non-contact ultrasonic gas flow metering using air-coupled leaky Lamb waves by Fan, Zichuan, Jiang, Wentao, Wright, William M.D.

    Published in Ultrasonics (01-09-2018)
    “…•A non-contact ultrasonic method of gas flow metering in a duct is described.•Leaky Lamb waves were generated and detected via airborne compression waves.•The…”
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    Journal Article
  2. 2

    The Expression of Semaphorin3E in Vagal Ganglion and Lung Tissue Is Related to Airway Hyperresponsiveness in Murine Asthma Model by Chen, Liyan, Yuan, Xiaohui, He, Yaowei, Fan, Zichuan, Guan, Ya, Li, Qiuying, Chen, Yaying, Bao, Lianglan, Huang, Yidan, Lai, Kefang

    Published in Journal of immunology research (11-12-2023)
    “…Objective. Semaphorin3E (Sema3E) mediates reorganization of the actin cytoskeleton, and plays an important role in ensuring the specificity of synapse…”
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    Journal Article
  3. 3

    The effects of air gap reflections during air-coupled leaky Lamb wave inspection of thin plates by Fan, Zichuan, Jiang, Wentao, Cai, Maolin, Wright, William M D

    Published in Ultrasonics (01-02-2016)
    “…Air-coupled ultrasonic inspection using leaky Lamb waves offers attractive possibilities for non-contact testing of plate materials and structures. A common…”
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    Journal Article
  4. 4

    A Multistory Building Evacuation Model Based on Multiple-Factor Analysis by Fan, Zichuan, Zhang, Gaofan, Wu, Tanghong, Zhou, Yang

    Published in Advances in civil engineering (01-01-2019)
    “…Emergency evacuation is an important issue in public security. To make a considerate plan, various situations are presented including blocking the accident…”
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    Journal Article
  5. 5

    Soft Sensing Method Of LS-SVM Using Temperature Time Series For Gas Flow Measurements by Xu, Weiqing, Fan, Zichuan, Cai, Maolin, Shi, Yan, Tong, Xiaomeng, Sun, Junpeng

    Published in Metrology and Measurement systems (01-09-2015)
    “…This paper proposes a soft sensing method of least squares support vector machine (LS-SVM) using temperature time series for gas flow measurements. A heater…”
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    Journal Article
  6. 6

    A review of energy saving technologies on compressed air system by Zichuan Fan, Yan Shi, Junpeng Sun, Maolin Cai

    “…In this paper, the main form of energy consumption of typical compressed air system is introduced, to analyze basic potentials of energy saving. Then the…”
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    Conference Proceeding
  7. 7

    Gesture recognition system based on ultrasonic FMCW and ConvLSTM model by Kong, Fanchen, Deng, Jingcheng, Fan, Zichuan

    “…•An ultrasonic 3D gesture recognition system based on FMCW and ConvLSTM model was proposed.•The FMCW signals affected by hand gestures were collected by three…”
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    Journal Article
  8. 8

    The excitation and detection of Lamb waves in a droplet-loaded plate using air-coupled ultrasonic transducers by Fan, Zichuan, Zhou, Yang, Wu, Tanghong, Peng, Peng

    “…•Multiphysics model visualises wave behaviours and interprets inspection signals.•Collected signals of leaky Lamb waves are sensitive to size and location of…”
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    Journal Article
  9. 9

    Multiple reflective signal reception in gas flow measurement using air-coupled leaky Lamb waves by Fan, Zichuan, Qie, Tianhao, Zhou, Yang

    “…•A non-contact ultrasonic method of gas flow metering in a duct is described.•Wave propagation was visualized by COMSOL Multiphysics®.•Multipath signals with…”
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    Journal Article
  10. 10
  11. 11

    Quasi-dispersion of air-coupled ultrasonic signal for angle-dependent reception by Fan, Zichuan, Zhou, Yang, Qie, Tianhao, Wang, Zhifan

    “…In many practical applications of air-coupled ultrasonic inspection, the accurate direction of the wavefronts of the ultrasound in air is unknown. Thereby, the…”
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    Journal Article
  12. 12

    Intelligence Algorithms for Protein Classification by Mass Spectrometry by Chen, Yiqing, Zhou, Yang, Kong, Fanchen, Fan, Zichuan, Dai, Yalan

    Published in BioMed research international (01-01-2018)
    “…Mass spectrometry (MS) is an important technique in protein research. Effective classification methods by MS data could contribute to early and less-invasive…”
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    Journal Article
  13. 13

    A Dual Traffic Network Coupled with Improved Delay Models to Estimate Travel Time in Urban Traffic Systems by Fan, Xinqi, Liang, Yan, Sun, Yuting, Fan, Zichuan

    “…Travel time estimation plays a core role in intelligent traffic systems, as people or smart vehicles can choose a better travel route in advance, while local…”
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    Conference Proceeding
  14. 14

    Large flow compressed air load forecasting based on Least Squares Support Vector Machine within the Bayesian evidence framework by Liu, Chong, Kong, Dewen, Fan, Zichuan, Yu, Qihui, Cai, Maolin

    “…Energy-saving of compressed air system was very important for the sustainable development of enterprises, which could be achieved though fast and accurate load…”
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    Conference Proceeding
  15. 15

    Multiphysics Model of Lamb Waves Propagation in A Plate Loaded with Droplets by Zhou, Yang, Fan, Zichuan

    “…Lamb wave showed the possibilities in ultrasonic inspection technique by analyzing its propagation characteristics, which resulted from the rapid increase in…”
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    Conference Proceeding
  16. 16

    Simulation Study on Range and Tilt Angle Detection Based on Air-coupled Leaky Lamb Wave by Ling, Yuxi, He, Huaping, Zou, Tao, Fan, Zichuan

    “…External sensing based on plate-like structures has attracted much attention in many applications as it can obtain important features of nearby objects in some…”
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    Conference Proceeding
  17. 17

    Road Model Design Based on Reward Function in Traffic Light Control by Wu, Tanghong, Kong, Fanchen, Fan, Zichuan

    “…Traffic congestion has become serious across the world since the recent two centuries. Among existing control methods, Deep Q-learning Network (DQN) based…”
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    Conference Proceeding
  18. 18

    Road Intersection Model Based Reward Function Design in Deep Q-Learning Network for Traffic Light Control by Wu, Tanghong, Kong, Fanchen, Peng, Peng, Fan, Zichuan

    “…Reinforcement learning based control is an effective approach to traffic light control. In terms of the Deep Q-learning Network (DQN) based traffic light…”
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    Conference Proceeding