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Chinese Traffic Police Gesture Recognition Based on Graph Convolutional Network in Natural Scene 期刊论文
APPLIED SCIENCES-BASEL, 2021, 卷号: 11, 期号: 24, 页码: 19
作者:  Liu, Kang;  Zheng, Ying;  Yang, Junyi;  Bao, Hong;  Zeng, Haoming
收藏  |  浏览/下载：28/0  |  提交时间：2022/12/07
graph convolution network  attention mechanism  traffic police gesture recognition  
Collaborative Local-Global Learning for Temporal Action Proposal 期刊论文
ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY, 2021, 卷号: 12, 期号: 5, 页码: 14
作者:  Zhu, Yisheng;  Han, Hu;  Liu, Guangcan;  Liu, Qingshan
收藏  |  浏览/下载：32/0  |  提交时间：2022/06/21
Temporal action proposal generation  untrimmed videos  long short-term memory  attention mechanism  
Action Plan Project of Beijing University of Posts and Telecommunications through the Fundamental Research Funds for the Central Universities[2019XD-A06] 项目
项目编号: 2019XD-A06, 资助机构: Action Plan Project of Beijing University of Posts and Telecommunications through the Fundamental Research Funds for the Central Universities, 2021-
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收藏  |  浏览/下载：19/0  |  提交时间：2022/06/21
MSCPT: Toward Cross-Place Transportation Mode Recognition Based on Multi-Sensor Neural Network Model 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2021, 页码: 13
作者:  Zhu, Yida;  Luo, Haiyong;  Chen, Runze;  Zhao, Fang;  Guo, Song
收藏  |  浏览/下载：33/0  |  提交时间：2022/06/21
Transportation  Feature extraction  Data models  Navigation  Computational modeling  Bagging  Accelerometers  Cross-place  transportation mode recognition  SF-SEDNet  global attention  ensemble learning  data augmentation  
Particle Filter Reinforcement via Context-Sensing for Smartphone-Based Pedestrian Dead Reckoning 期刊论文
IEEE COMMUNICATIONS LETTERS, 2021, 卷号: 25, 期号: 9, 页码: 3144-3148
作者:  Shao, Wenhua;  Zhao, Fang;  Luo, Haiyong;  Tian, Hui;  Li, Jiaxin;  Crivello, Antonino
收藏  |  浏览/下载：46/0  |  提交时间：2021/12/01
Particle filters  Neural networks  Reinforcement learning  Mathematical model  Particle measurements  Estimation  Atmospheric measurements  Indoor location tracking  particle filter  pedestrian dead reckoning  reinforcement learning  smartphone-based navigation  
An Edge 3D CNN Accelerator for Low-Power Activity Recognition 期刊论文
IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2021, 卷号: 40, 期号: 5, 页码: 918-930
作者:  Wang, Ying;  Wang, Yongchen;  Shi, Cong;  Cheng, Long;  Li, Huawei;  Li, Xiaowei
收藏  |  浏览/下载：42/0  |  提交时间：2021/12/01
Three-dimensional displays  Two dimensional displays  Arrays  Feature extraction  System-on-chip  Redundancy  3D CNN  activity analysis  CNN accelerator  network-on-chip  video  
Cooperatively Improving Data Center Energy Efficiency Based on Multi-Agent Deep Reinforcement Learning 期刊论文
ENERGIES, 2021, 卷号: 14, 期号: 8, 页码: 32
作者:  Chi, Ce;  Ji, Kaixuan;  Song, Penglei;  Marahatta, Avinab;  Zhang, Shikui;  Zhang, Fa;  Qiu, Dehui;  Liu, Zhiyong
收藏  |  浏览/下载：41/0  |  提交时间：2021/12/01
data center  energy efficiency  deep reinforcement learning  multi-agent  scheduling algorithm  cooling system  
NDGCN: Network in Network, Dilate Convolution and Graph Convolutional Networks Based Transportation Mode Recognition 期刊论文
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2021, 卷号: 70, 期号: 3, 页码: 2138-2152
作者:  Qin, Yanjun;  Luo, Haiyong;  Zhao, Fang;  Wang, Chenxing;  Fang, Yuchen
收藏  |  浏览/下载：45/0  |  提交时间：2021/12/01
Transportation  Smart phones  Feature extraction  Discrete wavelet transforms  Convolution  Acceleration  Correlation coefficient  Mobile sensing  transportation mode  NIN  Dilate Convolution  GCN  
Pedestrian Dead Reckoning Based on Walking Pattern Recognition and Online Magnetic Fingerprint Trajectory Calibration 期刊论文
IEEE INTERNET OF THINGS JOURNAL, 2021, 卷号: 8, 期号: 3, 页码: 2011-2026
作者:  Wang, Qu;  Luo, Haiyong;  Xiong, Hao;  Men, Aidong;  Zhao, Fang;  Xia, Ming;  Ou, Changhai
收藏  |  浏览/下载：40/0  |  提交时间：2021/12/01
Legged locomotion  Trajectory  Estimation  Fingerprint recognition  Dead reckoning  Sensors  Heading estimation  indoor positioning  Internet of Things (IoT)  online calibration  pedestrian dead reckoning (PDR)  walking pattern recognition  
Predicting the Noise Covariance With a Multitask Learning Model for Kalman Filter-Based GNSS/INS Integrated Navigation 期刊论文
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2021, 卷号: 70, 页码: 13
作者:  Wu, Fan;  Luo, Haiyong;  Jia, Hongwei;  Zhao, Fang;  Xiao, Yimin;  Gao, Xile
收藏  |  浏览/下载：41/0  |  提交时间：2021/12/01
Adaptive integrated navigation  deep learning  denoising autoencoder (DAE)  Kalman filter (KF)  measurement noise  process noise