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3,336 results on '"Chen, Xiaobo"'

1. Validation of an AI-Powered Automated X-ray Bone Age Analyzer in Chinese Children and Adolescents: A Comparison with the Tanner–Whitehouse 3 Method

Author

Liang, Yan, Chen, Xiaobo, Zheng, Rongxiu, Cheng, Xinran, Su, Zhe, Wang, Xiumin, Du, Hongwei, Zhu, Min, Li, Guimei, Zhong, Yan, Cheng, Shengquan, Yu, Baosheng, Yang, Yu, Chen, Ruimin, Cui, Lanwei, Yao, Hui, Gu, Qiang, Gong, Chunxiu, Jun, Zhang, Huang, Xiaoyan, Liu, Deyun, Yan, Xueqin, Wei, Haiyan, Li, Yuwen, Zhang, Huifeng, Liu, Yanjie, Wang, Fengyun, Zhang, Gaixiu, Fan, Xin, Dai, Hongmei, and Luo, Xiaoping

Published
2024
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2. Driver Fatigue Recognition Based on EEG Signal and Semi-supervised Learning

Author

Chen, Lin, Chen, Xiaobo, Rannenberg, Kai, Editor-in-Chief, Soares Barbosa, Luís, Editorial Board Member, Carette, Jacques, Editorial Board Member, Tatnall, Arthur, Editorial Board Member, Neuhold, Erich J., Editorial Board Member, Stiller, Burkhard, Editorial Board Member, Stettner, Lukasz, Editorial Board Member, Pries-Heje, Jan, Editorial Board Member, Kreps, David, Editorial Board Member, Rettberg, Achim, Editorial Board Member, Furnell, Steven, Editorial Board Member, Mercier-Laurent, Eunika, Editorial Board Member, Winckler, Marco, Editorial Board Member, Malaka, Rainer, Editorial Board Member, Shi, Zhongzhi, editor, Witbrock, Michael, editor, and Tian, Qi, editor

Published
2025
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14. The Solar Upper Transition Region Imager (SUTRI) onboard the SATech-01 satellite

Author

Bai, Xianyong, Tian, Hui, Deng, Yuanyong, Wang, Zhanshan, Yang, Jianfeng, Zhang, Xiaofeng, Zhang, Yonghe, Qi, Runze, Wang, Nange, Gao, Yang, Yu, Jun, He, Chunling, Shen, Zhengxiang, Shen, Lun, Guo, Song, Hou, Zhenyong, Ji, Kaifan, Bi, Xingzi, Duan, Wei, Yang, Xiao, Lin, Jiaben, Hu, Ziyao, Song, Qian, Yang, Zihao, Chen, Yajie, Qiao, Weidong, Ge, Wei, Li, Fu, Jin, Lei, He, Jiawei, Chen, Xiaobo, Zhu, Xiaocheng, He, Junwang, Shi, Qi, Liu, Liu, Li, Jinsong, Xu, Dongxiao, Liu, Rui, Li, Taijie, Feng, Zhenggong, Wang, Yamin, Fan, Chengcheng, Liu, Shuo, Guo, Sifan, Sun, Zheng, Wu, Yuchuan, Li, Haiyu, Yang, Qi, Ye, Yuyang, Gu, Weichen, Wu, Jiali, Zhang, Zhe, Yu, Yue, Ye, Zeyi, Sheng, Pengfeng, Wang, Yifan, Li, Wenbin, Huang, Qiushi, and Zhang, Zhong

Subjects
Astrophysics - Solar and Stellar Astrophysics, Astrophysics - Instrumentation and Methods for Astrophysics
Abstract

The Solar Upper Transition Region Imager (SUTRI) onboard the Space Advanced Technology demonstration satellite (SATech-01), which was launched to a sun-synchronous orbit at a height of 500 km in July 2022, aims to test the on-orbit performance of our newly developed Sc-Si multi-layer reflecting mirror and the 2kx2k EUV CMOS imaging camera and to take full-disk solar images at the Ne VII 46.5 nm spectral line with a filter width of 3 nm. SUTRI employs a Ritchey-Chretien optical system with an aperture of 18 cm. The on-orbit observations show that SUTRI images have a field of view of 41.6'x41.6' and a moderate spatial resolution of 8" without an image stabilization system. The normal cadence of SUTRI images is 30 s and the solar observation time is about 16 hours each day because the earth eclipse time accounts for about 1/3 of SATech-01's orbit period. Approximately 15 GB data is acquired each day and made available online after processing. SUTRI images are valuable as the Ne VII 46.5 nm line is formed at a temperature regime of 0.5 MK in the solar atmosphere, which has rarely been sampled by existing solar imagers. SUTRI observations will establish connections between structures in the lower solar atmosphere and corona, and advance our understanding of various types of solar activity such as flares, filament eruptions, coronal jets and coronal mass ejections., Comment: 29pages,16figures

Published
2023
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16. The Z-axis, X-axis, Weight and Disambiguation Methods for Constructing Local Reference Frame in 3D Registration: An Evaluation

Author

Zhao, Bao, Fang, Xianyong, Yue, Jiahui, Chen, Xiaobo, Le, Xinyi, and Zhao, Chanjuan

Subjects
Computer Science - Computer Vision and Pattern Recognition
Abstract

The local reference frame (LRF), as an independent coordinate system generated on a local 3D surface, is widely used in 3D local feature descriptor construction and 3D transformation estimation which are two key steps in the local method-based surface matching. There are numerous LRF methods have been proposed in literatures. In these methods, the x- and z-axis are commonly generated by different methods or strategies, and some x-axis methods are implemented on the basis of a z-axis being given. In addition, the weight and disambiguation methods are commonly used in these LRF methods. In existing evaluations of LRF, each LRF method is evaluated with a complete form. However, the merits and demerits of the z-axis, x-axis, weight and disambiguation methods in LRF construction are unclear. In this paper, we comprehensively analyze the z-axis, x-axis, weight and disambiguation methods in existing LRFs, and obtain six z-axis and eight x-axis, five weight and two disambiguation methods. The performance of these methods are comprehensively evaluated on six standard datasets with different application scenarios and nuisances. Considering the evaluation outcomes, the merits and demerits of different weight, disambiguation, z- and x-axis methods are analyzed and summarized. The experimental result also shows that some new designed LRF axes present superior performance compared with the state-of-the-art ones.

Published
2022

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