Guoyu Chen

Mr. Guoyu Chen


Research Focus & Metrics

Academic Career Length

9Years (2018-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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21 July 2022 in Measurement Science and Technology
Verified
Journal Article
Closed access
YPYanhua Peng
Yanhua Peng
YYYipu Yan
Yipu Yan
GCGuoyu Chen
Guoyu Chen
BFBiao Feng
Biao Feng
Because of the contradiction between the production requirements of compact camera modules (CCMs) to achieve high efficiency and quality and the low efficiency and poor accuracy of traditional solder joint inspection methods, an automatic inspection method of CCM solder joint based on machine vision is proposed. After optimizing the imaging parameters according to the CCM inspection process, the region of interest is dynamically identified based on feature matching and image enhancement methods to remove background interference. On this basis, an improved adaptive particle swarm optimization is used to optimize the kernel extreme learning machine to automatically classify the solder joint defects. Experimental results showed that with its low latency, high precision and robustness, the CCM surface solder joint defect detection and classification method based on machine vision can effectively solve the problem of low efficiency and high cost of the current CCM solder joint defect detection technology.

29 July 2022 in The Journal of Supercomputing
Verified
Journal Article
Closed access
PDF file
YPYanhua Peng
Yanhua Peng
YYYipu Yan
Yipu Yan
GCGuoyu Chen
Guoyu Chen
BFBiao Feng
Biao Feng
XGXingyu Gao
Xingyu Gao

16 April 2021 in PLOS ONE
Verified
Journal Article
Open access
PDF file
GCGuoyu Chen
Guoyu Chen
YWYong Wan
Yong Wan
HLHuanhuan Lin
Huanhuan Lin
HHHoulin Hu
Houlin Hu
GLGuixiong Liu
Guixiong Liu
YPYanhua Peng
Yanhua Peng
Vertical tanks are commonly used appliances for liquids, and its capacity is very important for quantitative liquid ratio and liquid trade. In order to measure the capacity of vertical tanks more conveniently, this paper proposes a vertical tank capacity measurement method based on Monte Carlo Method. The method arranges a plurality of sensor points on the inner surface of the tank, and then performs Monte Carlo tests by generating a large number of random sample points, and finally calculates the capacity by counting the sample points that meet the criterion. The criterion for whether a sample point is located in the tank, which is the core issue, is established with the coordinates of sensor points and the distance between different sensor points along the surface of the tank. The results show that the absolute error of the measurement results of the proposed method does not exceed ±0.0003[m3], and the absolute error of capacity per unit volume has a linear relationship with the height of the vertical tank, and has little effect with the radial size of the vertical tank.

29 March 2022 in Chemistry and Technology of Fuels and Oils
Verified
Journal Article
Closed access
PDF file
GCGuoyu Chen
Guoyu Chen
HLHuanhuan Lin
Huanhuan Lin
HHHoulin Hu
Houlin Hu
YYYipu Yan
Yipu Yan
YWYong Wan
Yong Wan
YPYanhua Peng
Yanhua Peng


11 October 2024 in Flow Measurement and Instrumentation
Verified
Journal Article
Closed access
YZYuanming Zhang
Yuanming Zhang
XHXiaoxiao Huo
Xiaoxiao Huo
QLQilun Lu
Qilun Lu
GCGuoyu Chen
Guoyu Chen
LHLiangyong Hu
Liangyong Hu