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Hao Duan
Hunan University of Science and Technology

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Conference paper
Published: 06 October 2020 in Advances in Intelligent Systems and Computing
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The survey found that during table tennis training there are often many scattered balls that need to be picked up manually, affecting the efficiency of the players’ training. Currently, table tennis is picked up manually using a table tennis picker. In this paper, delta omnidirectional wheeled table tennis automatic pickup robot based on the vision servo achieves fully automatic table tennis pickup by combining the characteristics and requirements of table tennis sports. In this paper, we design a vision algorithm for a table tennis automatic pickup robot system, give a kinematic inverse solution for the delta omnidirectional wheel, complete the design of the robot control system, and build the platform for the experiment. A pickup experiment is conducted on scattered ping-pong balls of different colors. Experiments have shown that the robot can safely clean up scattered table tennis balls on the table tennis field with high positioning accuracy and top pick up rate. It is proved that the robot designed in this paper has extensive application value and prospects.

ACS Style

Ming Lu; Cheng Wang; Jinyu Wang; Hao Duan; Yongteng Sun; Zuguo Chen. Delta Omnidirectional Wheeled Table Tennis Automatic Pickup Robot Based on Vision Servo. Advances in Intelligent Systems and Computing 2020, 537 -542.

AMA Style

Ming Lu, Cheng Wang, Jinyu Wang, Hao Duan, Yongteng Sun, Zuguo Chen. Delta Omnidirectional Wheeled Table Tennis Automatic Pickup Robot Based on Vision Servo. Advances in Intelligent Systems and Computing. 2020; ():537-542.

Chicago/Turabian Style

Ming Lu; Cheng Wang; Jinyu Wang; Hao Duan; Yongteng Sun; Zuguo Chen. 2020. "Delta Omnidirectional Wheeled Table Tennis Automatic Pickup Robot Based on Vision Servo." Advances in Intelligent Systems and Computing , no. : 537-542.

Journal article
Published: 01 September 2020 in Chaos, Solitons & Fractals
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ACS Style

Li Cui; Ming Lu; Qingli Ou; Hao Duan; Wenhui Luo. Analysis and Circuit Implementation of Fractional Order Multi-wing Hidden Attractors. Chaos, Solitons & Fractals 2020, 138, 1 .

AMA Style

Li Cui, Ming Lu, Qingli Ou, Hao Duan, Wenhui Luo. Analysis and Circuit Implementation of Fractional Order Multi-wing Hidden Attractors. Chaos, Solitons & Fractals. 2020; 138 ():1.

Chicago/Turabian Style

Li Cui; Ming Lu; Qingli Ou; Hao Duan; Wenhui Luo. 2020. "Analysis and Circuit Implementation of Fractional Order Multi-wing Hidden Attractors." Chaos, Solitons & Fractals 138, no. : 1.

Research article
Published: 28 July 2020 in Complexity
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After fault occurs, the fault diagnosis of wind turbine system is required accurately and quickly. This paper presents a fault diagnostic method for open-circuit faults in the converter of permanent magnet synchronous generator drive for the wind turbine. To avoid misjudgement or missed judgement caused by improper thresholds, the proposed method applies Local Mean Decomposition and Multiscale Entropy into the converter of wind power system fault diagnosis for the first time. This paper uses a novel multiclass support vector machine to classify the faults hardly diagnosed by other methods. Simulation results show that the method has the characteristics of high adaptability, high accuracy, and less diagnosis time.

ACS Style

Hao Duan; Ming Lu; Yongteng Sun; Jinyu Wang; Cheng Wang; Zuguo Chen. Fault Diagnosis of PMSG Wind Power Generation System Based on LMD and MSE. Complexity 2020, 2020, 1 -11.

AMA Style

Hao Duan, Ming Lu, Yongteng Sun, Jinyu Wang, Cheng Wang, Zuguo Chen. Fault Diagnosis of PMSG Wind Power Generation System Based on LMD and MSE. Complexity. 2020; 2020 ():1-11.

Chicago/Turabian Style

Hao Duan; Ming Lu; Yongteng Sun; Jinyu Wang; Cheng Wang; Zuguo Chen. 2020. "Fault Diagnosis of PMSG Wind Power Generation System Based on LMD and MSE." Complexity 2020, no. : 1-11.

Conference paper
Published: 01 July 2020 in Proceedings of the 2nd International Conference on Data Engineering and Communication Technology
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Trend analysis, a database method for condition identification, is widely used in engineering. The sliding window method is an important method for trend analysis. However, the original sliding window method uses an invariant preset threshold and a fixed initial window, which will lead to inaccurate segmentation and long processing time. To solve this problem, it is a reasonable choice to improve the original scheme with dynamic threshold and dynamic initial window. In this paper, a trend extraction method based on improved sliding window is proposed, which can extract the trend characteristics of variables accurately and quickly.

ACS Style

Ming Lu; Yongteng Sun; Hao Duan; Zuguo Chen. A Trend Extraction Method Based on Improved Sliding Window. Proceedings of the 2nd International Conference on Data Engineering and Communication Technology 2020, 415 -422.

AMA Style

Ming Lu, Yongteng Sun, Hao Duan, Zuguo Chen. A Trend Extraction Method Based on Improved Sliding Window. Proceedings of the 2nd International Conference on Data Engineering and Communication Technology. 2020; ():415-422.

Chicago/Turabian Style

Ming Lu; Yongteng Sun; Hao Duan; Zuguo Chen. 2020. "A Trend Extraction Method Based on Improved Sliding Window." Proceedings of the 2nd International Conference on Data Engineering and Communication Technology , no. : 415-422.

Journal article
Published: 07 June 2020 in Minerals Engineering
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Rougher flotation is a complex process, making it difficult for a single variable to comprehensively and accurately reflects real-time working conditions. This paper proposes a new multivariable recognition method for rougher flotation conditions using pulp flow and froth size as parameters. It utilizes qualitative trend analysis to recognise rougher flotation condition for the first time, where an improved trend extraction method is used to improve extraction accuracy, and fuzzy logic is adopted to calculate the matching degree of trends. Considering the change in knowledge base caused by the increase in variables, this paper presents a scheme of building knowledge base for multivariable rougher flotation conditions. Experimental results of gold–antimony rougher flotation show that the proposed method can accurately recognise rougher flotation conditions.

ACS Style

Ming Lu; Yongteng Sun; Hao Duan; Dongheng Xie; Zuguo Chen; Jinyu Wang; Cheng Wang. A working condition recognition method based on multivariable trend analysis for gold–antimony rougher flotation. Minerals Engineering 2020, 156, 106493 .

AMA Style

Ming Lu, Yongteng Sun, Hao Duan, Dongheng Xie, Zuguo Chen, Jinyu Wang, Cheng Wang. A working condition recognition method based on multivariable trend analysis for gold–antimony rougher flotation. Minerals Engineering. 2020; 156 ():106493.

Chicago/Turabian Style

Ming Lu; Yongteng Sun; Hao Duan; Dongheng Xie; Zuguo Chen; Jinyu Wang; Cheng Wang. 2020. "A working condition recognition method based on multivariable trend analysis for gold–antimony rougher flotation." Minerals Engineering 156, no. : 106493.

Conference paper
Published: 07 January 2020 in Journal of Physics: Conference Series
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As an important part of driverless vehicle research and high-precision map making, lane detection technology needs to be improved urgently. However, it is difficult for current networks to obtain long-distance semantic information, which leads to the confusion of categories in narrow lanes. This paper adds cross attention based on deep layer aggregation to obtain long-distance semantic information, and constructs time series filter to filter in time domain, the method is simple and robust. Our encoder is based on resnet-50. According to the experimental results, slightly changing resnet-50 can achieve better results. Our method is evaluated on Baidu ApolloSpace land segmentation dataset, increases 3.4% relative to DeeplabV3+, and cross attention with time series filter contribute more than 1% mIoU accuracy.

ACS Style

Ming Lu; Duan Liu; Yongteng Sun; Hao Duan. Deep Layer Aggregation with Cross Attention for Lane Detection. Journal of Physics: Conference Series 2020, 1437, 012010 .

AMA Style

Ming Lu, Duan Liu, Yongteng Sun, Hao Duan. Deep Layer Aggregation with Cross Attention for Lane Detection. Journal of Physics: Conference Series. 2020; 1437 (1):012010.

Chicago/Turabian Style

Ming Lu; Duan Liu; Yongteng Sun; Hao Duan. 2020. "Deep Layer Aggregation with Cross Attention for Lane Detection." Journal of Physics: Conference Series 1437, no. 1: 012010.

Review
Published: 24 October 2019 in Applied Sciences
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This review introduces some energy-saving technologies of wastewater treatment. This work can provide some help for those who are engaged in energy conversation and energy efficiency research of wastewater treatment.

ACS Style

Yongteng Sun; Ming Lu; Yongjun Sun; Zuguo Chen; Hao Duan; Duan Liu. Application and Evaluation of Energy Conservation Technologies in Wastewater Treatment Plants. Applied Sciences 2019, 9, 4501 .

AMA Style

Yongteng Sun, Ming Lu, Yongjun Sun, Zuguo Chen, Hao Duan, Duan Liu. Application and Evaluation of Energy Conservation Technologies in Wastewater Treatment Plants. Applied Sciences. 2019; 9 (21):4501.

Chicago/Turabian Style

Yongteng Sun; Ming Lu; Yongjun Sun; Zuguo Chen; Hao Duan; Duan Liu. 2019. "Application and Evaluation of Energy Conservation Technologies in Wastewater Treatment Plants." Applied Sciences 9, no. 21: 4501.