Yue Wei

Shengli Oilfield Central Hospital

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Co-Authors

Oluwarotimi Williams Samuel

University of Derby

Guanglin Li

Chinese Academy of Sciences

Xiaoqiang Lu

Fuzhou University

Yanjuan Geng

Shenzhen Institutes of Advanced Technology

Wenlong Yu

Longhua Hospital Shanghai University of Traditional Chinese Medicine

Long Chen

Jiangsu University

Xin Guo

Hebei University of Technology

Tong Wang

South China University of Technology

Hui Zhou

Chinese Academy of Sciences

Sheng Bi

Capital Medical University

Cooperative Institutions

Chinese Academy of Sciences

University of Chinese Academy of Sciences

Jiangsu University

Institute of Automation

Shandong Institute of Automation

Shenzhen Institutes of Advanced Technology

Cloud Computing Center

Shenzhen Academy of Robotics

Shengli Oilfield Central Hospital

Beijing Academy of Artificial Intelligence

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Research on path planning based on new fusion algorithm for autonomous vehicle

International Journal of Advanced Robotic Systems (2020)

Chaochun Yuan Yue Wei Jie Shen Long Chen Youguo He

Ant colony algorithm or artificial potential field is commonly used for path planning of autonomous vehicle. However, vehicle dynamics and road adhesion coefficient are not taken into consideration. In addition, ant colony algorithm has blindness/randomness due to low pheromone concentration at initial stage of obstacle avoidance path searching progress. In this article, a new fusion algorithm combining ant colony algorithm and improved potential field is introduced making autonomous vehicle avoid obstacle and drive more safely. Controller of path planning is modeled and analyzed based on simulation of CarSim and Simulink. Simulation results show that fusion algorithm reduces blindness at initial stage of obstacle avoidance path searching progress and verifies validity and efficiency of path planning. Moreover, all parameters of vehicle are changed within a reasonable range to meet requirements of steering stability and driving safely during path planning progress.

Obstacle avoidance

CarSim

10.1177/1729881420911235

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Citations (11)

Real-time classification of forearm movements based on high density surface electromyography

2022 IEEE International Conference on Real-time Computing and Robotics (RCAR) (2017)

Yue Wei Yanjuan Geng Wenlong Yu Oluwarotimi Williams Samuel Naifu Jiang

Partial or complete loss of the upper limb motor function has great impact on the activities of daily life (ADL) of post-stroke survivors. To improve the rehabilitation effect of fine motor function of forearms, a couple of recent studies focused on methods that try to decode the limb motion intent of patients through physical exercises. However, there exist a few studies on real-time active rehabilitation method for the classification of multiple hand movements. In the current investigate, a pattern-recognition based rehabilitation environment was set up using high-density surface electromyogram (HD-sEMG) and the real-time classification performance of 21 forearm motions was investigated with eight healthy subjects. The results showed that the average motion completion rate across all subjects was 91.17% + 2.86%, which suggests the potential of intention-initiated approach in assistive rehabilitation technique.

10.1109/rcar.2017.8311868

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A remote self-calibration design for three-phase power monitoring terminal

Journal of Physics Conference Series (2024)

Yue Wei Peizhong Gao Ziming Qin Hongyi Wei Yongqian Liu

Abstract In view of the situation that the existing three-phase power metering device is prone to excessive error and inaccurate measurement during long-term operation, and the device must be removed for re-calibration, a self-calibration power monitoring terminal based on NB-IOT communication is proposed. The power monitoring terminal adopts an external voltage transformer and current transformer, and the input signal is mV and mA level AC small signal. The integrated design of single-chip microcomputer and metering chip is used in the power monitoring terminal. The single-chip microcomputer reads and writes the data collected by the metering chip and displays and transmits the power data. After the remote measurement instruction is issued, the three-phase sinusoidal signal generator chip inside the system is used to simulate the voltage signal and current model, and the external voltage and current input channel are switched with the analog signal channel through the analog switch to complete the internal self-verification work of the device. This scheme can significantly reduce the workload caused by dismantling, installing and verifying the instrument, ensure the measurement accuracy of the instrument for a long time, and has great practical value.

10.1088/1742-6596/2703/1/012088

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Compression Using Feature Score and Refinement for Deep Neural Networks

2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC) (2023)

Fenghua Zhu Jiachen Hou Yue Wei Peijun Ye Gang Xiong

Accelerating convolutional neural networks has recently received ever-increasing research focus. Filter pruning is one of the most effective ways to accelerate and compress convolutional neural networks (CNNs). Most existing approaches tend to prune filters from the parameters of networks by channel sparsity constraints or the weight of the parameters to find the redundant parameters, but ignore the feature extraction capability of the filters. In this paper, the principle behind our pruning is that low ability filters contain less information and we propose the concept of feature score to evaluate the feature extraction ability of the filters. We use the feature score estimation for the global filter importance ranking, then prune the network by removing those unimportant filters. Extensive experiments demonstrate the effectiveness of our method on different datasets including CIFAR-10 and CIFAR-100. Our method significantly outperforms state-of-the-art methods.

Feature (linguistics)

Deep Neural Networks

10.1109/itsc57777.2023.10422018

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On the College Teachers' Culture from the Perspective of the Soft Culture Power

Sichuan University of Arts and Science Journal (2014)

Yue Wei

The Teachers' culture is the core part of the soft culture power in college.It is necessary requirement for the improvement of competiveness to change the natural culture into the aware culture of teachers and to form the academic community of co-work by the innovation of the academic organization.

Culture change

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Identification of isotonic forearm motions using muscle synergies for brain injured patients

Yanjuan Geng Yatao Ouyang Oluwarotimi Williams Samuel Wenlong Yu Yue Wei

To effectively restore the fine motor functions of the forearm and hand of stroke survivors and patients with traumatic brain injury (TBI), recent studies have proposed an active rehabilitation concept based on the pattern recognition of electromyography (EMG) signals to decode the motor intent of the patients. The results from these studies suggested that pattern recognition of EMG signals associated with the limb motions could potentially aid the development of active rehabilitation robots. To obtain richer set of neural information from multiple-channel EMG recordings, this study proposed a muscle synergies based method for motor intent identification from high-density EMG signals recorded from eight TBI subjects. For baseline comparison, the linear discriminant analysis (LDA) based pattern recognition approach was also examined. The outcomes show that the proposed muscle synergy based method outperformed the commonly used LDA with more centralized distribution of motion classification accuracy across all the TBI subjects. And such an increment in accuracy suggests the feasibility of using muscle synergies for neural control in active rehabilitation for TBI patients.

Identification

10.1109/ner.2017.8008431

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A Quick Trajectory Planning Algorithm for Point-to-point Motion

Modular Machine Tool & Automatic Manufacturing Technique (2011)

Yue Wei

This paper studied a quick trajectory planning algorithm for point-to-point motion.Third-order S-curve trajectory was gave as an example.First analyzed the equations of x,vm and am about tjs under the conditions of the pure third-order S-curve trajectory,then analyzed the general equations of third-order S-curve trajectory.By the method of making x,vm and am as the pure third-order S-curve trajectory,determined which one to limit tj by comparing tjx,tjv and tja,then further discussing to get the value of ta and tv.Thus obtained four types of trajectories of General third-order S-curve,and proposed the third-order S-curve trajectory planning quick algorithm of directly obtaining third-order S-curve trajectory switching times by comparing tjx,tjv and tja.At last,this paper made a experiment to compare and verify the quick algorithm.We concluded that this quick algorithm is significantly faster than the general algorithm.

Third order

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Citations (1)