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- 저자 : Hao Dejun (검색결과 3 건)
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Acoustic Monitoring in the Process of Pulsed Laser Paint Removal
Haipeng Huang,Bentian Hao,Dejun Ye,Yun Chen 한국정밀공학회 2023 International Journal of Precision Engineering and Vol.24 No.7
Real-time monitoring of the laser paint removal process is critical to realize a good cleaning effect without causing damages to the base. Acoustic signals when the laser pulse continuously acts at one point were studied through an experiment. Results show that peak values and maximum frequency component of acoustic signals decreased to a stable value with paint removal, reflecting the cleaning process. According to an experimental study on cleaning acoustic signals during laser scanning, the cleaning process is divided into paint removal, clean finished, and excessive cleaning according to the damages threshold. The acoustic signals of the different processes were analyzed. Results show that variations of frequency components could reflect the paint removal process more accurately than time-domain signals. Extracting characteristic parameters of the maximum frequency component, spectrum, spectrum centroid amplitude, and spectrum centroid frequency from the frequency domain; introducing in the discriminant analysis; and establishing a Bayesian discriminant model according to cleaning characteristics can realize the quantitative discrimination of the paint removal process.
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Haipeng Huang,Liang Li,Shiwei Liu,Bentian Hao,Dejun Ye 한국정밀공학회 2024 International Journal of Precision Engineering and Vol.11 No.4
In response to the insufficient detection capability of laser paint stripping effects for a single modality and the high operational and cost requirements of existing multi-monitoring technologies, a method is proposed to integrate visual and auditory signals for evaluating laser paint stripping effects. Utilizing wavelet packet transformation for a more detailed understanding of the variations in paint-stripping sound signals, more representative energy features are extracted. The EfficientNetv2 network, optimized with an attention mechanism, further enhances the focus on crucial features. The image feature vectors are concatenated with the energy features extracted from the sound signals, forming a new and more informative feature vector for paint stripping effect discrimination. Experimental results demonstrate that the multi-feature fusion detection algorithm significantly improves the accuracy of paint stripping effect discrimination, reaching 98.7%. The 98.9% F1-Score and the smoothly converging loss curve also indicate the algorithm's effective control over category imbalance and training stability. This research is of paramount importance for improving the evaluation of laser cleaning technology effects and provides insights into multi-modal feature fusion for other relevant fields of study.
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Chen Cong,Li Shouyin,Zhu Han,Fan Binqi,Wang Yan,Hao Dejun 한국응용곤충학회 2020 Journal of Asia-Pacific Entomology Vol.23 No.2
Pagiophloeus tsushimanus is a newly and specialist wood-boring beetle of Cinnamomum camphora in China. RTqPCR is an accurate quantitative method to quantify target genes expression, which relies on suitable reference genes for data normalization. Reference genes must to be stably expressed under specific experimental conditions. No suitable reference genes of P. tsushimanus have been reported so far. Therefore, it is necessary to identify and evaluate suitable reference genes for the study of functional genes of this pest. In this research, the expression stability of eight candidate reference genes (RPS3, 18S rRNA, GAPDH, TBP, RPL10, UBQ, GST, and RPS27A) were systematically evaluated in P. tsushimanus by five algorithms (geNorm, BestKeeper, NormFinder, delta C q , and RefFinder) under different developmental stages, various tissues, and insects reared on different plants, and validated by the olfactory key gene odorant binding protein 33 (PtsuOBP33). The results showed that three stable reference genes combination were necessary for quantitative analysis of target gene. RPS3, RPL10, and UBQ were the optimal reference genes combination for gene expression analysis of developmental stages, while RPL10, RPS3, and 18S rRNA were recommended for different tissues, and 18S rRNA, TBP, and RPS3 were recommended for insects reared on different plants. The results indicated that suitable reference genes should be screened out for gene expression analysis under different conditions. This paper systematically analyzed and obtained suitable reference genes in P. tsushimanus for the first time, which would contribute to the functional analysis of genes and the in-depth mining of genetic resources in it.
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