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- 저자 : Pengxiang Song (검색결과 3 건)
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The Design and Realization of a Popular Science Long Corridor Based on 3D Stereo Technology
Aiying Mao,Pengxiang Gao,Airu Mao,Yuanyuan Song,Jinxia Yu 보안공학연구지원센터 2016 International Journal of Multimedia and Ubiquitous Vol.11 No.6
Through the design and technical realization of a popular science long corridor based on 3D stereo technology, three hot applications of 3D technology including 3D folding technology, 3D holographic imaging technology and 3D printing technology were introduced in the paper. The three techniques as a whole in the popular science long corridor display the method to decrease the realization cost of the popular science long corridor. The interactive part of the two-dimensional animation was added into the popular science long corridor to reflect truly the effect of the computer technology integrating application.
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Hongpeng Zheng,Yulong Lei,Pengxiang Song 한국자동차공학회 2017 International journal of automotive technology Vol.18 No.3
Hydraulic retarders are auxiliary braking devices that reduce the velocity of a vehicle, particularly when a vehicle is driven downhill. Such velocity reduction could reduce the potential risk caused by brake failure caused by the service brake working for a long time and the temperature of the brake shoe becomes extremely high. This paper introduces the construction of the hydraulic retarder and proposes two mathematical models for the hydraulic retarder. The first mathematical model is deduced by using fluid mechanics, which is used to analyze the mechanism of how braking torque is produced and the key factors that can influence the value of the braking torque. The second mathematical model is deduced by using thermodynamics, which is used to quantify the heat produced by the hydraulic retarder. This research emphasizes that the flow rate and the average velocity of the working fluid in the working chamber mainly determine the braking torque of the hydraulic retarder. The flow rate into and out of the working chamber determines the temperature rise of the working fluid. Computational fluid dynamics (CFD) simulations are conducted with the Reynolds-averaged Navier-Stokes (RANS) and Shear Stress Transport (SST) turbulent models. Experiments are carried out to justify the two mathematical models and the CFD simulations. The results show that the mathematical models are capable of describing the force analysis and energy conversion of the hydraulic retarder and SST is more accurate for CFD simulation and the error is within 6 %.
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MLSE-Net: Multi-level Semantic Enriched Network for Medical Image Segmentation
Di Gai,Heng Luo,Jing He, Baogang Xie,Pengxiang Su,Zheng Huang,Song Zhang,Zhijun Tu 한국인터넷정보학회 2023 KSII Transactions on Internet and Information Syst Vol.17 No.9
Medical image segmentation techniques based on convolution neural networks indulge in feature extraction triggering redundancy of parameters and unsatisfactory target localization, which outcomes in less accurate segmentation results to assist doctors in diagnosis. In this paper, we propose a multi-level semantic-rich encoding-decoding network, which consists of a Pooling-Conv-Former (PCFormer) module and a Cbam-Dilated-Transformer (CDT) module. In the PCFormer module, it is used to tackle the issue of parameter explosion in the conservative transformer and to compensate for the feature loss in the down-sampling process. In the CDT module, the Cbam attention module is adopted to highlight the feature regions by blending the intersection of attention mechanisms implicitly, and the Dilated convolution-Concat (DCC) module is designed as a parallel concatenation of multiple atrous convolution blocks to display the expanded perceptual field explicitly. In addition, Multi-Head Attention-DwConv-Transformer (MDTransformer) module is utilized to evidently distinguish the target region from the background region. Extensive experiments on medical image segmentation from Glas, SIIM-ACR, ISIC and LGG demonstrated that our proposed network outperforms existing advanced methods in terms of both objective evaluation and subjective visual performance.
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