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- 저자 : Jia Kou (검색결과 3 건)
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Dual-Mode Liquid Crystal Devices with Switchable Memory and Dynamic Modes
Yao, I-An,Kou, Hsiao-Ti,Yang, Chiu-Lien,Liao, Shih-Fu,Li, Jia-Hsin,Wu, Jin-Jei The Korean Infomation Display Society 2009 Journal of information display Vol.10 No.4
A liquid crystal device with switchable dynamic and memory modes was investigated and developed. The proposed device reveals the splay, $\pi$-twist, and bend states via selective switching among them. In the dynamic mode, the device is operated in the bend state, which exhibits a wide viewing-angle and a fast-response-time due to its self-compensated bend structure and flow-accelerated fast response time, respectively. In the memory mode, the permanent memory characteristics in the splay and $\pi$-twist sates are obtained, respectively. The switching mechanisms of the tristate device are also proposed.
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CenterNet Based on Diagonal Half-length and Center Angle Regression for Object Detection
Yuantian Xia,XuPeng Kou,Weie Jia,Shuhan Lu,Longhe Wang,Lin Li 한국인터넷정보학회 2023 KSII Transactions on Internet and Information Syst Vol.17 No.7
CenterNet, a novel object detection algorithm without anchor based on key points, regards the object as a single center point for prediction and directly regresses the object’s height and width. However, because the objects have different sizes, directly regressing their height and width will make the model difficult to converge and lose the intrinsic relationship between object’s width and height, thereby reducing the stability of the model and the consistency of prediction accuracy. For this problem, we proposed an algorithm based on the regression of the diagonal half-length and the center angle, which significantly compresses the solution space of the regression components and enhances the intrinsic relationship between the decoded components. First, encode the object’s width and height into the diagonal half-length and the center angle, where the center angle is the angle between the diagonal and the vertical centreline. Secondly, the predicted diagonal half-length and center angle are decoded into two length components. Finally, the position of the object bounding box can be accurately obtained by combining the corresponding center point coordinates. Experiments show that, when using CenterNet as the improved baseline and resnet50 as the Backbone, the improved model achieved 81.6% and 79.7% mAP on the VOC 2007 and 2012 test sets, respectively. When using Hourglass-104 as the Backbone, the improved model achieved 43.3% mAP on the COCO 2017 test sets. Compared with CenterNet, the improved model has a faster convergence rate and significantly improved the stability and prediction accuracy.
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Peng-yu Zhu,Yong-lai Zheng,Wen-bin Luo,Jia Kou,Ru-xue Zhang,Shu-xin Deng 대한토목학회 2020 KSCE JOURNAL OF CIVIL ENGINEERING Vol.24 No.1
An experimental investigation on chloride diffusion in structural concrete under the cyclic impact loading is conducted. Effects of magnitudes and loading times are studied. Relationship between damage coefficients and chloride diffusion coefficients is obtained. The cyclic impact loading causes the initiation of new cracks and the propagation of existing cracks, which brings an obvious promotion for chloride diffusion. There should be a damage threshold. If the magnitude of the external loading is large enough to make the damage exceed the threshold, initiation and propagation of cracks become quite significant and chloride diffusion can be greatly promoted. With the increase of the damage coefficient, the chloride diffusion coefficient increases. The increasing rates decrease with long immersion times. Relationship curves of damage coefficients and chloride diffusion coefficients show a good correlation and can be well described with power functions.
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