http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
- 中文 을 입력하시려면 zhongwen을 입력하시고 space를누르시면됩니다.
- 北京 을 입력하시려면 beijing을 입력하시고 space를 누르시면 됩니다.
RISS 인기검색어
- 검색키워드
- 저자 : Yuxiang Qin (검색결과 4 건)
- 무료
- 기관 내 무료
- 유료
-
Tobacco Retail License Recognition Based on Dual Attention Mechanism
Yuxiang Shan,Qin Ren,Cheng Wang,Xiuhui Wang 한국정보처리학회 2022 Journal of information processing systems Vol.18 No.4
Images of tobacco retail licenses have complex unstructured characteristics, which is an urgent technicalproblem in the robot process automation of tobacco marketing. In this paper, a novel recognition approachusing a double attention mechanism is presented to realize the automatic recognition and information extractionfrom such images. First, we utilized a DenseNet network to extract the license information from the inputtobacco retail license data. Second, bi-directional long short-term memory was used for coding and decodingusing a continuous decoder integrating dual attention to realize the recognition and information extraction oftobacco retail license images without segmentation. Finally, several performance experiments were conductedusing a largescale dataset of tobacco retail licenses. The experimental results show that the proposed approachachieves a correction accuracy of 98.36% on the ZY-LQ dataset, outperforming most existing methods.
-
Tobacco Sales Bill Recognition Based on Multi-Branch Residual Network
Yuxiang Shan,Cheng Wang,Qin Ren,Xiuhui Wang 한국정보처리학회 2022 Journal of information processing systems Vol.18 No.3
Tobacco sales enterprises often need to summarize and verify the daily sales bills, which may consume substantialmanpower, and manual verification is prone to occasional errors. The use of artificial intelligencetechnology to realize the automatic identification and verification of such bills offers important practicalsignificance. This study presents a novel multi-branch residual network for tobacco sales bills to improve theefficiency and accuracy of tobacco sales. First, geometric correction and edge alignment were performed onthe input sales bill image. Second, the multi-branch residual network recognition model is established andtrained using the preprocessed data. The comparative experimental results demonstrated that the correctrecognition rate of the proposed method reached 98.84% on the China Tobacco Bill Image dataset, which issuperior to that of most existing recognition methods.
-
Effect of Au on the Performance of Porous Silicon/V2O5 Nanorods Heterojunctions to NO2 Gas
Wenjun Yan,Minghui Zhou,Jiran Liang,Dengfeng Wang,Yulong Wei,Yuxiang Qin 성균관대학교(자연과학캠퍼스) 성균나노과학기술원 2016 NANO Vol.11 No.7
A novel composite of Au-functionalized porous silicon (PS)/V2O5 nanorods (PS/V2O5:Au) was prepared to detect NO2 gas. PS/V2O5 nanorods were synthesized by a heating process of pure vanadium film on PS, and then the obtained PS/V2O5 nanorods were functionalized with dispersed Au nanoparticles. Various analytical techniques, such as field emission scanning electron microscopy (FESEM), transmission electron microscopy (TEM), X-ray diffraction (XRD), have been employed to investigate the properties of PS/V2O5:Au. Herein, the PS/V2O5:Au sample exhibited improved NO2-sensing performances in response, stability and selectivity at room temperature (25℃), compared with the pure PS/V2O5 nanorods. These phenomena were closely related to not only the dispersed Au nanoparticles acting as a catalyst but also the p-n heterojunctions between PS and V2O5 nanorods. Whereas, more Au nanoparticles suppressed the improvement of response to NO2 gas.
-
Zhang, Hui,Wang, Shouzhi,Li, Hui,Yu, Xijiang,Li, Ning,Zhang, Qin,Liu, Xiaofeng,Wang, Qigui,Hu, Xiaoxiang,Wang, Yuxiang,Tang, Zhiquan Asian Australasian Association of Animal Productio 2008 Animal Bioscience Vol.21 No.10
Abdominal fat characters are complex and economically important in the poultry industry. Their selection may benefit from the implementation of marker-assisted selection (MAS). The objective of this study was to identify the markers linked to QTL responsible for fatness traits. The Northeast Agricultural University broiler lines divergently selected for abdominal fat content (NEAUHLF) were used in the study. A total of 596 individuals from the divergent tails from the 6th to the 10th generations were genotyped at 23 microsatellite markers on chromosome 1. The differences of allele frequencies of all marker alleles between the divergent tails across the five generations were recorded. The allele frequencies of five markers, including LEI0209, LEI0146, MCW0036, ADL328 and MCW0115, had significant differences between the two tails in all five generations. The resulting p-values using Fisher's exact test on eleven markers, containing MCW248, MCW0010, MCW0106, LEI0252, LEI0068, MCW0018, MCW0061, LEI0088, MCW200, MCW283 and ROS0025, had a decreasing tendency from the 6th to the 10th generation. Statistical analysis showed that polymorphisms of the eight markers, including LEI0209, LEI0146, ROS0025, MCW0115, MCW0010, MCW0036, MCW283, ADL328, were significantly (p<0.0011) or suggestively (p<0.05) associated with abdominal fat content (AFW and AFP) across generations. It is concluded that the eight markers could be associated with the QTL affecting the deposition of abdominal fat in broiler chickens.
ScienceON
KISS연관 검색어 추천
이 검색어로 많이 본 자료
활용도 높은 자료
