Zheng-Hui Yang
10 Papers
Zheng-Hui Yang is an academic researcher. The author has contributed to research in topics: Computer science & Nuclear power plant. The author has co-authored 1 publications.
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Papers
Widar3.0: Zero-Effort Cross-Domain Gesture Recognition With Wi-Fi
Yi Zhang,Yue Zheng,Kun Qian,Gui Yang Zhang,Yunhao Liu,Chenshu Wu,Zheng-Hui Yang +6 more
TL;DR: The key insight of Widar3.0 is to derive and extract domain-independent features of human gestures at the lower signal level, which represent unique kinetic characteristics of gestures and are irrespective of domains, and develops a one-fits-all general model that requires only one-time training but can adapt to different data domains.
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TreeCN: Time Series Prediction With the Tree Convolutional Network for Traffic Prediction
TL;DR: TreeCN is a tree-based structure designed to capture directional and hierarchical features among traffic nodes. It utilizes a plane tree matrix and a bottom-up convolution structure to achieve accurate traffic prediction in complex scenarios.
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Hands-on Wireless Sensing with Wi-Fi: A Tutorial
TL;DR: This tutorial takes Wi-Fi sensing as an example and introduces both the theoretical principles and the code implementation 1 of data collection, signal processing, features extraction, and model design, and highlights state-of-the-art deep learning models and their applications in wireless sensing systems.
The Conceptual Framework of Smart TOD: An Integration of Smart City and TOD
Liwei Bai,Lelong Xie,Chao Yang Li,Shengqiang Yuan,Dening Niu,Tao Wang,Zheng-Hui Yang,Yi Zhang +7 more
TL;DR: In this article , the authors proposed a conceptual framework of Smart TOD (S-TOD), which could highlight TOD 5.0 but more than that, it is an integration of SC and TOD, utilizing the deconstructive method and the abductive method.
Research and Application of 3d Visualization Digital Twin System for Ultrasonic Testing of Key Equipment in NPP
Zheng-Hui Yang,Yi Shan Zhang,Haiyan Wang,Yarnan Zhang +3 more
- 08 Aug 2022
TL;DR: Wang et al. as mentioned in this paper proposed a 3D visualization method for ultrasonic defects of NPP reactor pressure vessel (RPV) based on digital twin, which overlays and maps the 3D digital model of RPV with the reconstructed 3D defects, while providing the necessary 3D interaction.
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