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| 1 | Frequency steering of spaceborne clocks based on XPNAV-1 observations显示文摘Due to high stable rotations, timing of pulsars provides a natural tool to correct the frequency deviation of spaceborne atomic clocks. Based on processing the observational data about a year of Crab pulsar given by XPNAV-1 satellite, we study the possibility of correcting the frequency deviation of spaceborne atomic clocks using pulsar timing. According to the observational data in X-ray band and the timing model parameters from radio observations, the pre-fit timing residuals with a level of 67.66 μs are obtained. By fitting the slope of the timing residuals affected by the faked frequency-biased reference clock, we estimated successfully the relative frequency deviation of the reference clock. For a satellite clock with frequency deviation of the order about 10^(-12), a calibration accuracy with relative error of about 2% can be obtained from the Crab pulsar’s data for one year.The stability of the time scale based on Crab pulsar is about 10^(-12) for an interval of one year. | Mengna HAN Minglei TONG Liansheng LI Yongqiang SHI Tinggao YANG Yuping GAO | 2023 | Chinese Journal of Aeronautics2023，36，6： | 3 |
| 2 | 3D Human Model and Joint Parameter Estimation from Monocular Image显示文摘 | Minglei Tong Yuncai Liu Huang T S | | 0，，07： | 1 |
| 3 | Variable structure multiple model for articulated human mo- tion tracking from monocular video sequences 显示文摘 | Hong Han MingLei Tong ZhiChao Chen YouJian Fan | 2011 | Springer Journal2011，55，5： | 1 |
| 4 | Variable structure multiple model for articulated human motion tracking from monocular video sequences显示文摘A new model-based human body tracking framework with learning-based theory is introduced in this paper.We propose a variable structure multiple model (VSMM) framework to address challenging problems such as uncertainty of motion styles,imprecise detection of feature points,and ambiguity of joint locations.Key human joint points are detected automatically and the undetected points are estimated with Kalman filters.Multiple motion models are learned from motion capture data using a ridge regression method.The model set that covers the total motion set is designed on the basis of topological and compatibility relationships,while the VSMM algorithm is used to estimate quaternion vectors of joint rotation.Experiments using real image sequences and simulation videos demonstrate the high efficiency of our proposed human tracking framework. | HAN Hong TONG MingLei CHEN ZhiChao FAN YouJian | 2012 | Science China(Information Sciences)2012，55，5： | 1 |
| 5 | Model based human motion tracking using probability evolutionary algorithm 显示文摘 | Shen Shuhan Tong Minglei Deng Haolong | 2008 | Pattern Recognition Letters(S0167-8655)2008，29，13： | 1 |
| 6 | Shared latent dynamical structure for three-dimensional human pose estimation显示文摘In this paper,a shared latent dynamical model (SLDM) and its application in tracking 3D human motion from monocular videos are proposed by combining the ideas of Gaussian processes dynamical model with shared latent structure.When tracking in high-dimensional space,SLDM can map state space and observation space to a shared latent space of low dimensionality with associated dynamics.During off-line training,three mappings,including dynamical mapping in latent space and mappings from the latent space to both state space and observation space,are learned.This model can separate traditional human motion estimation in highdimensional space into two steps: In the first step,the shared latent dynamical variables are estimated;in the second step,the human pose of high dimension is reconstructed.Experiments in human motion tracking from monocular videos using simulations and real images demonstrate that this human tracking method is efficient. | TONG MingLei HAN Hong ZHU Wu | 2011 | Science China(Information Sciences)2011，54，7： | 0 |
| 7 | Online Learning-Based Offloading Decision and Resource Allocation in Mobile Edge Computing-Enabled Satellite-Terrestrial Networks显示文摘Mobile edge computing(MEC)-enabled satellite-terrestrial networks(STNs)can provide Internet of Things(IoT)devices with global computing services.Sometimes,the network state information is uncertain or unknown.To deal with this situation,we investigate online learning-based offloading decision and resource allocation in MEC-enabled STNs in this paper.The problem of minimizing the average sum task completion delay of all IoT devices over all time periods is formulated.We decompose this optimization problem into a task offloading decision problem and a computing resource allocation problem.A joint optimization scheme of offloading decision and resource allocation is then proposed,which consists of a task offloading decision algorithm based on the devices cooperation aided upper confidence bound(UCB)algorithm and a computing resource allocation algorithm based on the Lagrange multiplier method.Simulation results validate that the proposed scheme performs better than other baseline schemes. | Tong Minglei Li Song Han Wanjiang Wang Xiaoxiang | 2024 | China Communications2024，21，3： | 0 |
| 8 | Interface wave propagation characteristics of liquid-immersed porous cylinder显示文摘 | HAN Qingbang XU Zhouchen TONG Ziwei QI Lihua WANG Peng SHAN Minglei ZHU Changping | 2018 | Chinese Journal of Acoustics2018，37，2： | 0 |
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