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您的检索式：作者名="Yansen Huang"
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| 1 | Prediction and safety analysis of additional vertical stress within a shaft wall in an extra-thick alluvium显示文摘An alluvium with a sandy aquifer at the bottom,but lacking an effective impermeable layer between the sandy aquifer and bedrock is referred to as a special alluvial stratum.Impacted by the drainage of the aquifer due to mining activities,a shaft wall in this special alluvial stratum will be subject to a downward load by an additional vertical force which must be taken into consideration in the design of the shaft wall.The complexity of interaction between shaft wall and the surrounding walls makes it extremely difficult to determine this additional vertical force.For a particular shaft wall in an extra-thick alluvium and assuming that the friction coefficient between shaft wall and stratum does not change with depth,an analysis of a numerical simulation of the stress within the shaft wall has been carried out.Growth and size of the additional vertical stress have been obtained,based on specific values of the friction coefficient,the modulus of elasticity of the drainage layer and the thickness of the drainage layer.Subsequently, the safety of shaft walls with different structural types was studied and a more suitable structural design,providing an important basis for the design of shaft walls,is promoted. | WANG Yansen ZHANG Chi XUE Libing HUANG Xinggen | 2010 | Mining Science and Technology2010，20，3： | 7 |
| 2 | A Resonant Model for Charge Transfer and Excitation in Proton-Hydrogen Collisions显示文摘A new and simple model is developed to describe charge transfer,excitation and elastic process in low energy ion-atom collision in which the resonant transfer is considered as the dominant mechanism.The formulas are given in the secondary quantum representation.The cross sections of electron capture,excitation and elastic process in proton-hydrogen atom collision have been calculated and compared with experiment data. | PAN Limin WANG Yansen HUANG Fayang FANG Dufei TANG Jiayong YANG Fujia | 1994 | Chinese Physics Letters1994，11，6： | 0 |
| 3 | A Normalizing Flow-Based Bidirectional Mapping Residual Network for Unsupervised Defect Detection显示文摘Unsupervised methods based on density representation have shown their abilities in anomaly detection,but detection performance still needs to be improved.Specifically,approaches using normalizing flows can accurately evaluate sample distributions,mapping normal features to the normal distribution and anomalous features outside it.Consequently,this paper proposes a Normalizing Flow-based Bidirectional Mapping Residual Network(NF-BMR).It utilizes pre-trained Convolutional Neural Networks(CNN)and normalizing flows to construct discriminative source and target domain feature spaces.Additionally,to better learn feature information in both domain spaces,we propose the Bidirectional Mapping Residual Network(BMR),which maps sample features to these two spaces for anomaly detection.The two detection spaces effectively complement each other’s deficiencies and provide a comprehensive feature evaluation from two perspectives,which leads to the improvement of detection performance.Comparative experimental results on the MVTec AD and DAGM datasets against the Bidirectional Pre-trained Feature Mapping Network(B-PFM)and other state-of-the-art methods demonstrate that the proposed approach achieves superior performance.On the MVTec AD dataset,NF-BMR achieves an average AUROC of 98.7%for all 15 categories.Especially,it achieves 100%optimal detection performance in five categories.On the DAGM dataset,the average AUROC across ten categories is 98.7%,which is very close to supervised methods. | Lanyao Zhang Shichao Kan Yigang Cen Xiaoling Chen Linna Zhang Yansen Huang | 2024 | Computers, Materials & Continua2024，78，2： | 0 |
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