scholarly journals An Automatic Recognition Method for Students’ Classroom Behaviors Based on Image Processing

2020 ◽  
Vol 37 (3) ◽  
pp. 503-509
Author(s):  
Wei Huang ◽  
Ning Li ◽  
Zhijun Qiu ◽  
Na Jiang ◽  
Bin Wu ◽  
...  
Keyword(s):  
Image Processing ◽  
Automatic Recognition ◽  
Classroom Behaviors ◽  
Recognition Method

scholarly journals A Practical Method for the Automatic Recognition of Rock Structures in Panoramic Borehole Image during Deep-Hole Drilling Engineering

2021 ◽  
Vol 11 (21) ◽  
pp. 10490
Author(s):  
Xianjian Zou ◽  
Chuanying Wang ◽  
Huajun Zhang ◽  
Shuangyuan Chen
Keyword(s):  
Recognition Rate ◽  
Automatic Recognition ◽  
Characteristic Functions ◽  
Hole Drilling ◽  
Time Cost ◽  
Recognition Method ◽  
Structural Plane ◽  
Drilling Engineering ◽  
Borehole Image ◽  
Borehole Imaging

Digital panoramic borehole imaging technology has been widely used in the practice of drilling engineering. Based on many high-definition panoramic borehole images obtained by the borehole imaging system, this paper puts forward an automatic recognition method based on clustering and characteristic functions to perform intelligent analysis and automatic interpretation researches, and successfully applied to the analysis of the borehole images obtained at the Wudongde Hydropower Station in the south-west of China. The results show that the automatic recognition method can fully and quickly automatically identify most of the important structural planes and their position, dip, dip angle and gap width and other characteristic parameter information in the entire borehole image. The recognition rate of the main structural plane is about 90%. The accuracy rate is about 85%, the total time cost is about 3 h, and the accuracy deviation is less than 4% among the 12 boreholes with a depth of about 50 m. The application of automatic recognition technology to the panoramic borehole image can greatly improve work efficiency, reduce the time cost, and avoid the interference caused by humans, making it possible to automatically recognize the structural plane parameters of the full-hole image.

An automatic recognition method of microseismic signals based on EEMD-SVD and ELM

2019 ◽  
Vol 133 ◽  
pp. 104318 ◽  
Author(s):  
Jinyong Zhang ◽  
Ruochen Jiang ◽  
Biao Li ◽  
Nuwen Xu
Keyword(s):  
Automatic Recognition ◽  
Recognition Method
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