Yuan Song

Beijing University of Posts and Telecommunications

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i-10 index

Research Trends

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Document Type

Co-Authors

Lei Guo

Beijing University of Posts and Telecommunications

Shimin Wei

Beijing University of Posts and Telecommunications

Bin Xing

Tianjin University of Traditional Chinese Medicine

Dongming Gan

Purdue University West Lafayette

Lei Guo

Beijing University of Posts and Telecommunications

Xinhu Mo

Beijing University of Posts and Telecommunications

Qizheng Liao

Guangdong University of Education

Yang Zheng

Chinese University of Hong Kong, Shenzhen

Ren Bing Li

China Aerodynamics Research and Development Center

Hongyu Lin

Chinese Academy of Sciences

Cooperative Institutions

Beijing University of Posts and Telecommunications

Chinese Academy of Sciences

Xi'an Jiaotong University

North Carolina State University

University of Chinese Academy of Sciences

Shanghai Jiao Tong University

Shandong University

University of Electronic Science and Technology of China

University of Exeter

University of Adelaide

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Research Field

Experimental Research on Teaching Method of Stratification Adjustment within Class

Sport Science and Technology (2001)

Yuan Song

Through analysis on newly enrollment students, this paper discusses the negative factors influencing physical education teaching, suggests that reform and innovation of teaching methods is required to exploit fresh student's capability potential and physical education teaching quality. Based on it, the author designs a new physical education method (the dynamic flexible stratification adjustment within class), put forwards and introduces it into the whole teaching procedure. The result shows that there is significant difference between experimental group and comparative group.

Stratification (seeds)

Physical Education

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Semi-empirical dynamics modeling of a bicycle robot based on feature selection and RHONN

Neurocomputing (2022)

Lei Guo Zhiqiang Chen Yuan Song

Feature (linguistics)

Sigmoid function

10.1016/j.neucom.2022.09.062

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Citations (2)

Noise reducing and image processing for debonds quantitative identification by infrared thermography

Yang Zheng Wei Zhang Tian Gan Yuan Song Ren Bing Li

An adhesive structure specimen, fabricated with several back-drilled flat holes of different size to simulate debond defects, was inspected by infrared thermography. Three larger defects could be seen directly by the raw images. However, two smaller defects could not be detected by the raw images because of high noise. The noise contributed by the variation of surface emissivity, was eliminated to some extent by coating the testing surface with uniform emissivity black paint in the experiment. It is found that the surface temperature changes with time satisfying exponential form. Therefore, a robust reducing noise method - exponential fitting of every pixel as a function of time, was presented to eliminate unwanted temporal noise in the raw images. Spatial noise was reduced by the combination some standard filtering algorithms e.g. average filtering with high-pass filtering, which made the invisible defect be detected. Finally, image segmentation algorithms based on watershed and 3D tomogram were used to visualize the defects, and defect's parameters were also estimated by the image after segmentation. The results show that the methods used in this work could improve defect detectability and achieve defect quantitative identification.

Thermography

Image noise

10.1109/iccet.2010.5485708

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Tracking Control of Two Mobile Robots in Leader-Follower Mode Based on Terminal Sliding Mode Method

Yuqing Zhang Lei Guo Yuan Song

Terminal sliding mode

Mode (computer interface)

Tracking (education)

10.1109/remar61031.2024.10617716

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Illegal Sea Project Discovery Algorithm based on Hash Table and DBSCAN Algorithm

Fengjuan Cui Xiaowei Xu Li Zhang Jie Yin Meng How Tan

Marine cage culture does not need to be reclaimed, so it has a certain degree of conceal ability, which leads to the situation that some individuals or even enterprises install cages to carry out aquaculture in the open sea without approval. These behaviors not only violate the national legal system

DBSCAN

Table (database)

10.4108/eai.17-11-2023.2342795

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Design of the sliding mode controller for a kind of unicycle robot

IEEE Conference Proceedings (2016)

Lei Guo Kai He Yuan Song

Mode (computer interface)

Source

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Research on Algorithm Estimating based Network End-to-End Delay

Fire Control and Command Control (2008)

Yuan Song

Most methods to measure Internet end-to-end delay rely on sending packets.Because the computer clocks are asynchronism,the results are not precision.This paper develops an arithmetic which based on software method for solving this problem.This method is an ameliorative way which brought forward by Sue B.Moon.The results show that this method works well and the precision of measure is improved.

End-to-end principle

Network delay

End-to-end delay

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A Feasibility Study on the Popularization of Tai Chi with Virtual Reality Technology

Yuan Song Jia Liu Fenghua Cao Hongpo Hu

On December 17, 2020, Tai Chi was included in Representative List of the Intangible Cultural Heritage of Humanity, which attracted worldwide attention. In order to promote Tai Chi, this study analyses the limitations including teacher shortage, insufficient training time, and inconsistent gestures, and attempts to use virtual reality (VR) technology to break through these restraints. This research has found that VR can help escape the limits in teaching stuff and practice time, and also stimulate learning interest and other advantages. To introduce Tai Chi to the world, we should strictly filter promotion content, unifying the movements and making specialised VR materials; establish an VR online learning platform; conduct online Duanwei assessment based on the requirements of the Duanwei system; combine online and offline teaching; gradually introduce virtual products of routines, push-hand, and Sanshou and other forms.

Economic shortage

Promotion (chess)

10.1109/tcs52929.2021.00116

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Citations (2)

Load Decomposition Method Based on Improved EEMD-Person-PCA

2022 4th International Conference on Electrical Engineering and Control Technologies (CEECT) (2023)

Lin Lin Xinyu Hu Jiannan Wang Yuan Song Yuan Song

With the rapid development of economy and society, the power demand of the whole society is becoming more and more huge and the types are becoming more and more complicated. The traditional power load modeling method is single, which leads to the problems of low classification of load modeling area decomposition and difficult detailed separation of features in the current situation. To solve these problems, a load decomposition method based on Ensemble Empirical Mode Decomposition (EEMD) -Person correlation coefficient - Principal Component Analysis (PCA) was proposed. It has good engineering significance for separating load characteristics in complex cases. First, a series of intrinsic mode functions (IMF) with mode aliasing were obtained by decomposing the original load data through EEMD. Then, the Person correlation coefficient and PCA method were used to decompose and reduce the dimension of IMF, eliminate the IMF component with weak correlation and obtain decomposition parameters with high similarity, thus alleviating the degree of modal aliasing and reducing the difficulty of parameter determination. The proposed method is applied to the typical load parameter decomposition problem, and the simulation results show that the proposed method has obvious advantages in the precision scale in the centralized modeling of multiple decomposition problems, indicating that the designed method can effectively deal with the typical load decomposition modeling problem.

Aliasing

Mode (computer interface)

Component (thermodynamics)

10.1109/ceect59667.2023.10420627

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Asynchronous steady-state visual evoked potential brain-computer interface application: True and false positive rate comparison between with and without eye-tracking switch paradigms

2022 IEEE International Conference on Real-time Computing and Robotics (RCAR) (2021)

Jun Xie Huanqing Zhang Yi Liu Peng Fang Hongwei Yu

Due to the bypass of muscle activity or peripheral nerve control, brain-computer interface (BCI) technique has advantages in different fields such as medical field for the rehabilitation of paralyzed patients. Steady-state visual evoked potential (SSVEP) has been widely adopted in BCI applications. SSVEP based BCIs have the advantages of high information transfer rate, less or no need of training, and strong anti-interference, which could be used in the more natural asynchronous BCI application with control of the users rather than the operant system of the synchronous mode. In order to solve the problem of high false positive rate (FPR) in common asynchronous SSVEP BCI applications, this paper proposed an eye-tracking switch based BCI paradigm to reduce the FPR and to improve the performance of the asynchronous BCI system. In the proposed paradigm, the fixation point position instead of EEG signal is used to determine whether the system is in idle state. Experimental results showed that when eye-tracking switch was applied in the asynchronous SSVEP BCI, the FPR was reduced to less than 10% and the recognition accuracy (i.e., the true positive rate, TPR) can also be improved to a certain extent, which proved the applicability of the eye-tracking switch in asynchronous BCI applications.

Interface (matter)

10.1109/rcar52367.2021.9517381

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Citations (1)