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Akademický článek

A Novel Strategy for Identifying Oil Pollutants Based on Excitation-Emission Matrix Fluorescence Spectroscopy and Zernike Moments

Autor: Yaoyao Cui, Deming Kong, Lingfu Kong, Shutao Wang, Huichao Shi

Publikováno v: IEEE Access, Vol 8, Pp 17999-18006 (2020)

Human health and ecological environment are badly affected due to oil pollution. A novel strategy for identifying oil pollutants has been proposed based on generic modular design. A total of three modules are included in the oil identification strate

Externí odkaz: https://doaj.org/article/7e2a94b48749441fad8751e8d21448b9

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Akademický článek

Study on the Influences of Multiple Parameters With Uncertainty in the Clamp-On Ultrasonic Flowmeter

Autor: Huichao Shi, Xirui Kang, Shuman He, Tao Meng

Publikováno v: IEEE Access, Vol 8, Pp 183787-183798 (2020)

For a clamp-on ultrasonic flowmeter based on transit-time differential method, the flow rate calculation model with flow velocity correction is established and verified by experiments carried out in a flow standard facility. Based on established flow

Externí odkaz: https://doaj.org/article/6be80c05265c4d1a8fb846c720f0d960

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Akademický článek

Measurement of Flow Fluctuation in the Flow Standard Facility Based on Singular Value Decomposition

Autor: Tao Meng, Huanchang Wei, Feng Gao, Huichao Shi

Publikováno v: Sensors, Vol 21, Iss 20, p 6850 (2021)

In order to accurately evaluate the flow stability of the flow standard facility, the flow fluctuation in the standard facility needs to be accurately measured. However, the flow fluctuation signal is always superimposed with the fluctuation signal o

Externí odkaz: https://doaj.org/article/cbbf8c9dfe9d452bb5af598aafea2edf

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Akademický článek

Wheel Hub Defects Image Recognition Base on Zero-Shot Learning

Autor: Xiaohong Sun, Jinan Gu, Meimei Wang, Yanhua Meng, Huichao Shi

Publikováno v: Applied Sciences, Vol 11, Iss 4, p 1529 (2021)

In the wheel hub industry, the quality control of the product surface determines the subsequent processing, which can be realized through the hub defect image recognition based on deep learning. Although the existing methods based on deep learning ha

Externí odkaz: https://doaj.org/article/bac235673f75420d8f7ff7fcaffdf38f

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