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- 저자 : Jinfeng Xia (검색결과 5 건)
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Jinfeng Dong,Haiqing Liu,Shengyong Xia,Yang Cheng,Ming Lei,Zimu Chen 한국강구조학회 2022 International Journal of Steel Structures Vol.22 No.3
In order to study the structural stability of the disc-buckle type formwork support, the multi-parameter experimental analysis of the disc-buckle type formwork support structure was carried out by using experimental and fi nite element analysis method. The infl uence parameters of working conditions, lift height, diagonal bracing and sleeve on the structural stability bearing capacity was mainly considered. The regularity of the buckling direction of the vertical pole, the stress at each typical position on the vertical pole and the axial force of the vertical pole was studied based on the experimental results. Based on the characteristics of semi-rigid connection joints, the correctness of the experimental results was verifi ed by fi nite element analysis, and the results show that reducing lift height and arranging diagonal bracing have remarkable infl uence on improving the structural stability bearing capacity. The usage of sleeves has little infl uence on the structural stability, and the corner pole was the worst position of the overall structural stability. The factors of working conditions and diagonal bracing have the remarkable infl uence on the buckling direction of the vertical pole. The factor of working condition has the most obvious infl uence on the stress uniformity of the vertical pole. The axial force of the vertical pole in the disc-buckle type formwork support structure presented a relatively uniform state from bottom to top in the loading process. The arrangement of diagonal bracing and the usage of sleeves have an infl uence on the uniformity of the axial force of the vertical pole. Compared with the fi nite element results, the error of the structural stability bearing capacity was within 6%, indicated that the fi nite element can accurately simulate the structural stability bearing capacity.
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Web-Based Collaborative Learning System and Its Key Techniques
Yanhui Xia,Zhengyou Wang,Yi Li,Jinfeng Hu 보안공학연구지원센터 2015 International Journal of Multimedia and Ubiquitous Vol.10 No.12
On the basis of concept, characteristics and related work of collaborative learning, this paper proposes an intelligent web collaborative learning system prototype based on multi-agent technology. At first, the paper introduces a collaborative learning framework which supporting group learning and illustrates the whole learning process. Secondly, the paper presents some key issues to implementation of the virtual learning environment, such as intelligent grouping, automatic question answering, knowledge management, and opinion mining. Preliminary learning practice shows that it is a practical and efficient way.
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Wei Yang,Jinfeng Xia,Guohong Zhou,Tianxi Hu,Danwang Ye,Danyu Jiang,Qiang Li 대한화학회 2019 Bulletin of the Korean Chemical Society Vol.40 No.5
In this study, a terbium(?) complex, Tb(SSA)4 (SSA?=?sulfosalicylate), was synthesized and employed to detect toxic chromate anion (CrO42?) as a visually identifiable probe. Luminescence investigations confirmed that the Tb complex is an excellent probe with high selectivity, high sensitivity (I0/I100 ?M = 9.5), and a low detection limit (2.8???10?8 M), targeting CrO42? in aqueous solution. The simple fluorescence-based probe can be quickly and easily prepared, and enables the reliable, visual detection of CrO42? ion in daily applications.
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Depth tracking of occluded ships based on SIFT feature matching
Yadong Liu,Yuesheng Liu,Ziyang Zhong,Yang Chen,Jinfeng Xia,Yunjie Chen 한국인터넷정보학회 2023 KSII Transactions on Internet and Information Syst Vol.17 No.4
Multi-target tracking based on the detector is a very hot and important research topic in target tracking. It mainly includes two closely related processes, namely target detection and target tracking. Where target detection is responsible for detecting the exact position of the target, while target tracking monitors the temporal and spatial changes of the target. With the improvement of the detector, the tracking performance has reached a new level. The problem that always exists in the research of target tracking is the problem that occurs again after the target is occluded during tracking. Based on this question, this paper proposes a DeepSORT model based on SIFT features to improve ship tracking. Unlike previous feature extraction networks, SIFT algorithm does not require the characteristics of pre-training learning objectives and can be used in ship tracking quickly. At the same time, we improve and test the matching method of our model to find a balance between tracking accuracy and tracking speed. Experiments show that the model can get more ideal results.
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Ship Number Recognition Method Based on An improved CRNN Model
Wenqi Xu,Yuesheng Liu,Ziyang Zhong,Yang Chen,Jinfeng Xia,Yunjie Chen 한국인터넷정보학회 2023 KSII Transactions on Internet and Information Syst Vol.17 No.3
Text recognition in natural scene images is a challenging problem in computer vision. The accurate identification of ship number characters can effectively improve the level of ship traffic management. However, due to the blurring caused by motion and text occlusion, the accuracy of ship number recognition is difficult to meet the actual requirements. To solve these problems, this paper proposes a dual-branch network based on the CRNN identification network. The network couples image restoration and character recognition. The CycleGAN module is used for blur restoration branch, and the Pix2pix module is used for character occlusion branch. The two are coupled to reduce the impact of image blur and occlusion. Input the recovered image into the text recognition branch to improve the recognition accuracy. After a lot of experiments, the model is robust and easy to train. Experiments on CTW datasets and real ship maps illustrate that our method can get more accurate results.
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