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- 저자 : Tan Pingan (검색결과 3 건)
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Xu Shangguan,Pingan Tan,Tingyu Tan,Bin Song,Huadong Liu 전력전자학회 2022 JOURNAL OF POWER ELECTRONICS Vol.22 No.3
Electromagnetic environment assessment plays an indispensable part in the practical application of wireless power transfer (WPT) technology. It can ensure that the WPT system meets the electromagnetic radiation limit requirements of the corresponding frequency. To improve the flexibility and universality of the electromagnetic environment assessment of WPT systems, a general magnetic field model suitable for regular polygonal coil wireless power transmission systems is proposed based on electromagnetic theory. First, using Biot–Savart law and by considering the correlation effect of the coil structure and parameters, a unified magnetic field model suitable for regular polygonal coils is established. On this basis, the model is used to compare and analyze the influence of different coil structures and parameters on magnetic flux density, and the evolution law of the electromagnetic radiation of the WPT system is obtained. Finally, the influences of transmission distance and misalignment on the electromagnetic environment of the WPT system are studied. The validity and accuracy of the model are verified by finite element simulation (FEM) and experimental results, which lays a theoretical foundation for the evaluation of the electromagnetic environment of WPT systems and the pre-design of coils.
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Zhang Shu-Ming,Guan Zhidong,Jiang Hao,Ning Tao,Wang Xiao-Dong,Tan Pingan 한국CDE학회 2024 Journal of computational design and engineering Vol.11 No.1
Three-dimensional (3D) reconstruction is a significant research topic in the field of computer-aided design (CAD), which is used to recover editable CAD models from original shapes, including point clouds, voxels, meshes, and boundary representations (B-rep). Recently, there has been considerable research interest in deep model generation due to the increasing potential of deep learning methods. To address the challenges of 3D reconstruction and generation, we propose Brep2Seq, a novel deep neural network designed to transform the B-rep model into a sequence of editable parametrized feature-based modeling operations comprising principal primitives and detailed features. Brep2Seq employs an encoder-decoder architecture based on the transformer, leveraging geometry and topological information within B-rep models to extract the feature representation of the original 3D shape. Due to its hierarchical network architecture and training strategy, Brep2Seq achieved improved model reconstruction and controllable model generation by distinguishing between the primary shape and detailed features of CAD models. To train Brep2Seq, a large-scale dataset comprising 1 million CAD designs is established through an automatic geometry synthesis method. Extensive experiments on both DeepCAD and Fusion 360 datasets demonstrate the effectiveness of Brep2Seq, and show its applicability to simple mechanical components in real-world scenarios. We further apply Brep2Seq to various downstream applications, including point cloud reconstruction, model interpolation, shape constraint generation, and CAD feature recognition.
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Discovery of Endothelium and Mesenchymal Properties of Primo Vessels in the Mesentery
Ping, An,Zhendong, Su,Jingxing, Dai,Yaling, Liu,Bae, Kyung-Hee,Shiyun, Tan,Hesheng, Luo,Soh, Kwang-Sup,Ryu, Yeon Hee,Kim, Sungchul Hindawi Publishing Corporation 2013 Evidence-based Complementary and Alternative Medic Vol.2013 No.-
<P>Recent evidences demonstrated that endothelial-to-mesenchymal transition (EndMT) has a crucial role in cancer and is recognized as a unique source of cancer-associated fibroblasts (CAFs). Primo vascular system (PVS) is a new circulatory system which may play an important role in cancer metastasis and regeneration. In the current study, we applied previously established time-saving method to identify primo vessels and further investigated the immunocytochemical properties of primo vessels. Both primo vessels and primary primo vessel cells in the mesentery expressed endothelial markers and fibroblast markers. Double-labeling experiments demonstrated that endothelial and fibroblast markers are coexpressed in primo vessels. In addition, under the stimulation of TGF-<I>β</I>1 <I>in vitro,</I> primary primo vessel cells differentiated into fibroblasts. Therefore, we found that primo vessels in the mesentery had a transitional structure between endothelium and mesenchymal. This is a new finding of EndMT in normal postnatal animals.</P>
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