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Träfflista för sökning "WFRF:(Zhao Wei) ;lar1:(bth)"

Sökning: WFRF:(Zhao Wei) > Blekinge Tekniska Högskola

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1.
  • Lin, Sen, et al. (författare)
  • Non-destructive monitoring of forming quality of self-piercing riveting via a lightweight deep learning
  • 2023
  • Ingår i: Scientific Reports. - : Springer Nature. - 2045-2322. ; 13:1
  • Tidskriftsartikel (refereegranskat)abstract
    • Self-piercing riveting (SPR) has been widely used in automobile body jointing. However, the riveting process is prone to various forming quality failures, such as empty riveting, repeated riveting, substrate cracking, and other riveting defects. This paper combines deep learning algorithms to achieve non-contact monitoring of SPR forming quality. And a lightweight convolutional neural network with higher accuracy and less computational effort is designed. The ablation and comparative experiments results show that the lightweight convolutional neural network proposed in this paper achieves improved accuracy and reduced computational complexity. Compared with the original algorithm, the algorithm's accuracy in this paper is increased by 4.5[Formula: see text], and the recall is increased by 1.4[Formula: see text]. In addition, the amount of redundant parameters is reduced by 86.5[Formula: see text], and the amount of computation is reduced by 47.33[Formula: see text]. This method can effectively overcome the limitations of low efficiency, high work intensity, and easy leakage of manual visual inspection methods and provide a more efficient solution for monitoring the quality of SPR forming quality. © 2023. The Author(s).
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2.
  • Zhao, Jie, et al. (författare)
  • Image Quality Assessment of Enriched Tonal Levels Images
  • 2017
  • Ingår i: Image and Graphics 9th International Conference, ICIG 2017, Shanghai, China, September 13-15, 2017, Revised Selected Papers, Part II. - Cham : Springer. - 9783319715971 ; , s. 134-146
  • Konferensbidrag (refereegranskat)abstract
    • The quality assessment of a high dynamic image is a challenging task. The few available no reference image quality methods for high dynamic range images are generally in evaluation stage. The most available image quality assessment methods are designed to assess low dynamic range images. In the paper, we show the assessment of high dynamic range images which are generated by utilizing a virtually flexible fill factor on the sensor images. We present a new method in the assessment process and evaluate the amount of improvement of the generated high dynamic images in comparison to original ones. The results show that the generated images not only have more number of tonal levels in comparison to original ones but also the dynamic range of images have significantly increased due to the measurable improvement values.
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  • Resultat 1-2 av 2
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refereegranskat (2)
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Zhao, Lun (1)
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Zhao, Jie (1)
Wang, Sen (1)
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Lin, Sen (1)
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