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A novel approach to obtain optimal exposure for 3D shape reconstruction of high dynamic range objects 期刊论文
Measurement Science and Technology, 2021, 卷号: 32, 期号: 9, 页码: 1-1
作者:  Wu,Ke;  Tan,Jie;  Liu,Chengbao
Adobe PDF(18867Kb)  |  收藏  |  浏览/下载：249/39  |  提交时间：2021/08/15
structured light  fringe projection  3D reconstruction  auto-exposure  
An Exposure Fusion-Based Structured Light Approach for the 3D Measurement of a Specular Surface 期刊论文
IEEE SENSORS JOURNAL, 2021, 卷号: 21, 期号: 5, 页码: 6314-6324
作者:  Wu, Ke;  Tan, Jie;  Xia, Hai Lun;  Liu, Cheng Bao
Adobe PDF(5488Kb)  |  收藏  |  浏览/下载：315/58  |  提交时间：2021/03/29
Surface reconstruction  Three-dimensional displays  Image reconstruction  Stereo vision  Reflective binary codes  Cameras  Sensors  Structured light  stereo vision  3D reconstruction  image fusion  
Study on distributed lithium-ion power battery grouping scheme for efficiency and consistency improvement 期刊论文
JOURNAL OF CLEANER PRODUCTION, 2019, 卷号: 233, 页码: 429-445
作者:  Bai, Xiwei;  Tan, Jie;  Wang, Xuelei;  Wang, Lianjing;  Liu, Chengbao;  Shi, Liyong;  Sun, Wei
浏览  |  Adobe PDF(6262Kb)  |  收藏  |  浏览/下载：431/92  |  提交时间：2019/10/12
Lithium-ion power battery grouping  Consistency improvement  Efficiency improvement  Edge computing  Distributed time-series clustering  
Dynamic Identification of Critical Nodes and Regions in Power Grid Based on Spatio-Temporal Attribute Fusion of Voltage Trajectory 期刊论文
ENERGIES, 2019, 卷号: 12, 期号: 5, 页码: 16
作者:  Bai, Xiwei;  Liu, Daowei;  Tan, Jie;  Yang, Hongying;  Zheng, Hengfeng
浏览  |  Adobe PDF(3091Kb)  |  收藏  |  浏览/下载：324/48  |  提交时间：2019/04/23
critical node  critical region  spatio-temporal attribute fusion  node voltage trajectory  
Lithium-Ion Cell Screening W th Convolutional Neural Networks Based on Two-Step Time-Series Clustering and Hybrid Resampling for Imbalanced Data 期刊论文
IEEE ACCESS, 2018, 卷号: 6, 期号: 无, 页码: 59001-59014
作者:  Liu, Chengbao;  Tan, Jie;  Shi, Heyuan;  Wang, Xuelei
浏览  |  Adobe PDF(19745Kb)  |  收藏  |  浏览/下载：349/67  |  提交时间：2019/01/08
Lithium-ion cell screening  time-series clustering  resampling  convolutional neural networks