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- 教师名称：孟庆浩
- 教师拼音名称：Meng Qinghao
- 出生日期：1968-07-01
- 性别：男
- 职务：Associate dean
- 学科：Control Science and Technology
- 职称：教授
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[9] Qing-Hao Meng, Pei-Feng Qi, Kai Wu, Shao-Hui Zhu, and M. Zeng. 2-D Wind Velocity Measurement Using a Vertically Suspended Optical Fiber Combined With a Photo Sensor Array. IEEE Transactions on Instrumentation and Measurement, 66 (8): 2074-2082.. 2017
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[8] Bing Luo, Qing-Hao Meng, Jia-Ying Wang, and Ming Zeng. A Flying Odor Compass to Autonomously Locate the Gas Source. IEEE Transactions on Instrumentation and Measurement, 2017, 1-12.. 2017
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[7] Ya-Qi Jing, Qing-Hao Meng, Pei-Feng Qi, Ming Zeng, and Jing-Jie Liu. Signal Processing Inspired from the Olfactory Bulb for Electronic Noses. Measurement Science and Technology, 2017, 28 (1): 015105 (13pp). 2017
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[6] Qi-Pei Feng, Qing-Hao Meng, Ya-Qi Jing, Ying-Jie Liu, and Ming Zeng. A Bio-Inspired Breathing Sampling Electronic Nose for Rapid Detection of Chinese Liquors. IEEE Sensors Journal, 2017, 17 (15): 4689-4698.. 2017
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[5] Pei-Feng Qi, Ming Zeng, Zhi-Hua Li, Biao Sun, and Qing-Hao Meng. Design of A Portable Electronic Nose for Real-Fake Detection of Liquors. Review of Scientific Instruments, 2017: 1-10.. 2017
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[4] YaoSong, BingLuo, and Qing-Hao Meng. A Rotor-Aerodynamics-based Wind Estimation Method Using A Quadrotor. Measurement Science and Technology, 2017: 015105.. 2017
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[3] Wei Zhao, Qing-Hao Meng, Ming Zeng and Pei-Feng Qi. Stacked Sparse Auto-Encoders (SSAE) Based Electronic Nose for Chinese Liquors Classification. Sensors, 2017, 17, 2855; doi: 10.3390/ s17122855. . 2017
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[2] Hui-Rang Hou; Qing-Hao Meng; Ming Zeng; Biao Sun. Improving Classification of Slow Cortical Potential Signals for BCI Systems with Polynomial Fitting and Voting-Support-Vector-Machine. IEEE Signal Processing Letters, 2017, 99: 1-1.. 2017
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[1] Ying-Jie Liu; Qing-Hao Meng; Pei-Feng Qi; Biao Sun; Xin-Shan Zhu. Using Spike-Based Bio-Inspired Olfactory Model for Data Processing in Electronic Noses. IEEE Sensors Journal, 2018, 18 (2): 692 - 702. . 2017
