In this work, we further extended the face-based smoothed finite element method （FS-FEM） for modal analysis of three-dimensional solids using four-node tetrahedron elements. The FS-FEM is formulated based on the smo...In this work, we further extended the face-based smoothed finite element method （FS-FEM） for modal analysis of three-dimensional solids using four-node tetrahedron elements. The FS-FEM is formulated based on the smoothed Calerkin weak form which employs smoothed strains obtained using the gradient smoothing operation on face-based smoothing domains. This strain smoothing operation can provide softening effect to the system stiffness and make the FSFEM provide more accurate eigenfrequency prediction than the FEM does. Numerical studies have verified this attractive property of FS-FEM as well as its ability and effectiveness on providing reliable eigenfrequency and eigenmode prediction in practical engineering application.展开更多
Body height and weight estimation from a single non-frontal face image suffers from poor performance due to large face pose variance and lack of labeled data.In this paper,we propose a face-based body height and weigh...Body height and weight estimation from a single non-frontal face image suffers from poor performance due to large face pose variance and lack of labeled data.In this paper,we propose a face-based body height and weight estimation method that leverages auxiliary tasks and pose disentanglement to address these issues.Specifically,inspired by the relevance of gender,age,height and weight estimation tasks,we employ gender and age estimation as auxiliary tasks to improve the performance of primary tasks,i.e.,height and weight estimation.Besides,we remove the pose-relevant feature from input to further promote the performance of both primary tasks and auxiliary tasks.Extensive experiments are conducted on both small-and large-pose datasets,demonstrating the superiority of the proposed method.展开更多
An anisotropic solution adaptive method based on unstructured quadrilateral meshes for inviscid compressible flows is proposed.The data structure,the directional refinement and coarsening,including the method for init...An anisotropic solution adaptive method based on unstructured quadrilateral meshes for inviscid compressible flows is proposed.The data structure,the directional refinement and coarsening,including the method for initializing the refined new cells,for the anisotropic adaptive method are described.It provides efficient high resolution of flow features,which are aligned with the original quadrilateral mesh structures.Five different cases are provided to show that it could be used to resolve the anisotropic flow features and be applied to model the complex geometry as well as to keep a relative high order of accuracy on an efficient anisotropic mesh.展开更多
基金Project supported by the National Project 973 (No. 2010CB328005)the National Natural Science Foundation of China (No. 11202074)+2 种基金partially supported by the Open Research Fund Program of the State Key Laboratory of Advanced Technology of Design and Manufacturing for Vehicle Body, Hunan University, P. R. China (No. 31175002)the support of Centre for ACES, Singapore-MIT Alliance (SMA)National University of Singapore for the work
文摘In this work, we further extended the face-based smoothed finite element method （FS-FEM） for modal analysis of three-dimensional solids using four-node tetrahedron elements. The FS-FEM is formulated based on the smoothed Calerkin weak form which employs smoothed strains obtained using the gradient smoothing operation on face-based smoothing domains. This strain smoothing operation can provide softening effect to the system stiffness and make the FSFEM provide more accurate eigenfrequency prediction than the FEM does. Numerical studies have verified this attractive property of FS-FEM as well as its ability and effectiveness on providing reliable eigenfrequency and eigenmode prediction in practical engineering application.
基金partially supported by the National Natural Science Foundation of China(No.U2336213)Strategic Priority Research Program of the Chinese Academy of Sciences(No.XDB0680202)+2 种基金Beijing Nova Program(20230484368)Suzhou Frontier Technology Research Project(No.SYG202325)Youth Innovation Promotion Association CAS.
文摘Body height and weight estimation from a single non-frontal face image suffers from poor performance due to large face pose variance and lack of labeled data.In this paper,we propose a face-based body height and weight estimation method that leverages auxiliary tasks and pose disentanglement to address these issues.Specifically,inspired by the relevance of gender,age,height and weight estimation tasks,we employ gender and age estimation as auxiliary tasks to improve the performance of primary tasks,i.e.,height and weight estimation.Besides,we remove the pose-relevant feature from input to further promote the performance of both primary tasks and auxiliary tasks.Extensive experiments are conducted on both small-and large-pose datasets,demonstrating the superiority of the proposed method.
文摘An anisotropic solution adaptive method based on unstructured quadrilateral meshes for inviscid compressible flows is proposed.The data structure,the directional refinement and coarsening,including the method for initializing the refined new cells,for the anisotropic adaptive method are described.It provides efficient high resolution of flow features,which are aligned with the original quadrilateral mesh structures.Five different cases are provided to show that it could be used to resolve the anisotropic flow features and be applied to model the complex geometry as well as to keep a relative high order of accuracy on an efficient anisotropic mesh.
