In geometry processing,symmetry research benefits from global geo-metric features of complete shapes,but the shape of an object captured in real-world applications is often incomplete due to the limited sensor resoluti...In geometry processing,symmetry research benefits from global geo-metric features of complete shapes,but the shape of an object captured in real-world applications is often incomplete due to the limited sensor resolution,single viewpoint,and occlusion.Different from the existing works predicting symmetry from the complete shape,we propose a learning approach for symmetry predic-tion based on a single RGB-D image.Instead of directly predicting the symmetry from incomplete shapes,our method consists of two modules,i.e.,the multi-mod-al feature fusion module and the detection-by-reconstruction module.Firstly,we build a channel-transformer network(CTN)to extract cross-fusion features from the RGB-D as the multi-modal feature fusion module,which helps us aggregate features from the color and the depth separately.Then,our self-reconstruction net-work based on a 3D variational auto-encoder(3D-VAE)takes the global geo-metric features as input,followed by a prediction symmetry network to detect the symmetry.Our experiments are conducted on three public datasets:ShapeNet,YCB,and ScanNet,we demonstrate that our method can produce reliable and accurate results.展开更多
The thermal shape-memory effect at room temperature for Co-32%Ni(mass fraction) magnetic shape memory alloy of single crystal was presented. When compressing the sample along the direction at room temperature, strain ...The thermal shape-memory effect at room temperature for Co-32%Ni(mass fraction) magnetic shape memory alloy of single crystal was presented. When compressing the sample along the direction at room temperature, strain can be recovered to some extent during later heating and the recovery rate varies with the pre-strain. But no obvious recoverable strain can be obtained along other crystal directions. For the thermal-mechanical training of the sample along , the recovery strain decreases obviously during the second round of compress and nearly no recovery happens after the third round of compress. A possible mechanism based on reversible motions of Shockley partial dislocations was proposed.展开更多
当采用特高频UHF(ultra high frequency)检测技术进行局部放电监测时,基本均假定GIS具有良好的同轴波导射频传播特性,并不能完全反应实际GIS运行情况。为了掌握实际复杂GIS形状下的UHF信号传播特性,文中设计“L”形测试截面以及现场实际...当采用特高频UHF(ultra high frequency)检测技术进行局部放电监测时,基本均假定GIS具有良好的同轴波导射频传播特性,并不能完全反应实际GIS运行情况。为了掌握实际复杂GIS形状下的UHF信号传播特性,文中设计“L”形测试截面以及现场实际GIS的“П”截面,并首先进行实验测试,分析“L”形截面对UHF信号传播特性的影响,但只能得到GIS绝缘间隙中局部位置(传感器位置)的信号强度;为此,文中建立了“L”形有限元模型FEM(finite element model),并将FEM分析结果与测试结果进行对比,证明了该有限元模型的正确性,以此为基础,可分析得到整个GIS绝缘间隙的UHF信号传播特性。结果表明,所提实验室“L”形截面测试结果和有限元模型能够真实反应实际情况,准确性高。展开更多
文摘In geometry processing,symmetry research benefits from global geo-metric features of complete shapes,but the shape of an object captured in real-world applications is often incomplete due to the limited sensor resolution,single viewpoint,and occlusion.Different from the existing works predicting symmetry from the complete shape,we propose a learning approach for symmetry predic-tion based on a single RGB-D image.Instead of directly predicting the symmetry from incomplete shapes,our method consists of two modules,i.e.,the multi-mod-al feature fusion module and the detection-by-reconstruction module.Firstly,we build a channel-transformer network(CTN)to extract cross-fusion features from the RGB-D as the multi-modal feature fusion module,which helps us aggregate features from the color and the depth separately.Then,our self-reconstruction net-work based on a 3D variational auto-encoder(3D-VAE)takes the global geo-metric features as input,followed by a prediction symmetry network to detect the symmetry.Our experiments are conducted on three public datasets:ShapeNet,YCB,and ScanNet,we demonstrate that our method can produce reliable and accurate results.
文摘The thermal shape-memory effect at room temperature for Co-32%Ni(mass fraction) magnetic shape memory alloy of single crystal was presented. When compressing the sample along the direction at room temperature, strain can be recovered to some extent during later heating and the recovery rate varies with the pre-strain. But no obvious recoverable strain can be obtained along other crystal directions. For the thermal-mechanical training of the sample along , the recovery strain decreases obviously during the second round of compress and nearly no recovery happens after the third round of compress. A possible mechanism based on reversible motions of Shockley partial dislocations was proposed.
文摘当采用特高频UHF(ultra high frequency)检测技术进行局部放电监测时,基本均假定GIS具有良好的同轴波导射频传播特性,并不能完全反应实际GIS运行情况。为了掌握实际复杂GIS形状下的UHF信号传播特性,文中设计“L”形测试截面以及现场实际GIS的“П”截面,并首先进行实验测试,分析“L”形截面对UHF信号传播特性的影响,但只能得到GIS绝缘间隙中局部位置(传感器位置)的信号强度;为此,文中建立了“L”形有限元模型FEM(finite element model),并将FEM分析结果与测试结果进行对比,证明了该有限元模型的正确性,以此为基础,可分析得到整个GIS绝缘间隙的UHF信号传播特性。结果表明,所提实验室“L”形截面测试结果和有限元模型能够真实反应实际情况,准确性高。
