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Hui Zhang, Yu Cui, Yanjun Liu, Jianmin Jia, Baiying Shi and Xiaohua Yu
Dockless bike-sharing (DBS) is a green and flexible travel mode, which has been considered as an effective way to address the first-and-last mile problem. A two-level process is developed to identify the integrated DBS?metro trips. Then, DBS trip data, m...
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Jia-Ling Xie, Wei-Feng Shi, Ting Xue and Yu-Hang Liu
The fault detection and diagnosis of a ship?s electric propulsion system is of great significance to the reliability and safety of large modern ships. The traditional fault diagnosis method based on mathematical models and expert knowledge is limited by ...
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Yanyun Yu, Hongshuo Zhang, Zongbao Mu, Yating Li, Yutong Sun and Jia Liu
Trim optimization is an available approach for the energy saving and emission reduction of a ship. As a ship sails on the water, the draft and trim undergo constant changes due to the consumption of fuel oil and other consumables. As a result, the select...
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Zijun Li, Qian Jia, Gang Li, Yu Xu, Junjian Wang and Xiaowei Zhai
A high temperature is the key factor limiting the safe development of deep mine tunnels. By confronting the phenomenon of serious heat exchange between airflow and the surrounding rocks in the tunnel excavation area, a conceptual model of coupled cooling...
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Wei Chen, Mingyu Yu and Jia Hou
The core driving force behind innovation in intelligent construction technology is synergistic relationships. It has become common practice to promote synergistic innovation through agent interaction and knowledge coupling in the development of intellige...
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Qi-Ang Wang, Xin-Yu Huang, Jun-Fang Wang, Yi-Qing Ni, Sheng-Cai Ran, Jian-Peng Li and Jia Zhang
Rail corrugation is a serious problem in a railway transportation system, aggravating the operational risk and shortening the lifetime of train?track system. In order to ensure the safety and reliability of the railway system, the detection of rail corru...
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Che-Hao Chang, Jason Lin, Jia-Wei Chang, Yu-Shun Huang, Ming-Hsin Lai and Yen-Jen Chang
Recently, data-driven approaches have become the dominant solution for prediction problems in agricultural industries. Several deep learning models have been applied to crop yield prediction in smart farming. In this paper, we proposed an efficient hybri...
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Peizhao Zhong, Weiqing Jia, Wenwu Yang, Jianfei He, Erli Zhang, Dongyang Yu, Yuhang Xu, Jianpeng Chen, Feihu Peng, Guoxiang Zeng, Chen Zhang, Shiqi Zeng, Bo Gao, Haihai Pei and Zaiman Wang
The parameters of the discrete element simulation model for rice field soils serve as valuable data references for investigating the dynamic characteristics of the walking wheel of high-speed precision seeding machinery in paddy fields. The research spec...
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Tingwu Yan, Peijuan Li, Yiting Liu, Tong Jia, Hanqi Yu and Guangming Chen
In the functioning of the hand?eye collaboration of an apple picking robot, the accuracy of the hand?eye relationship is a key factor affecting the efficiency and accuracy of the robot?s operation. In order to enhance the low accuracy of traditional hand...
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Longfei Jia, Si Zeng, Lei Feng, Bohan Lv, Zhiyuan Yu and Yuping Huang
In this paper, a novel global time-varying path planning (GTVP) method is proposed. In the method, real-time paths can be generated based on tunable Bezier curves, which can realize obstacle avoidance of manipulators. First, finite feature points are ext...
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