Z
Zhoujing Ye
Researcher at University of Science and Technology Beijing
Publications - 35
Citations - 384
Zhoujing Ye is an academic researcher from University of Science and Technology Beijing. The author has contributed to research in topics: Computer science & Engineering. The author has an hindex of 7, co-authored 22 publications receiving 132 citations.
Papers
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Journal ArticleDOI
The State-of-the-Art Review on Applications of Intrusive Sensing, Image Processing Techniques, and Machine Learning Methods in Pavement Monitoring and Analysis
Yue Hou,Li Qiuhan,Li Qiuhan,Zhang Chen,Zhang Chen,Guoyang Lu,Zhoujing Ye,Chen Yihan,Chen Yihan,Linbing Wang,Cao Dandan +10 more
TL;DR: This review summarizes the state-of-the-art of these three technologies in pavement engineering in recent years and suggests possible developments for future pavement monitoring and analysis based on these approaches.
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Development in Stacked-Array-Type Piezoelectric Energy Harvester in Asphalt Pavement
TL;DR: In this article, a piezoelectric energy harvesting in pavement is described. But it is carried out by laying the piezelectric material in the pavement structure and converting the mech...
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Collecting comprehensive traffic information using pavement vibration monitoring data
TL;DR: A new approach to obtain traffic information by processing raw data on pavement vibration by deploying a vibration‐based in‐field pavement monitoring system is proposed and a reasonable precision could be achieved using the developed methods.
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Investigating the Pavement Vibration Response for Roadway Service Condition Evaluation
Zhoujing Ye,Yang Lu,Linbing Wang +2 more
TL;DR: A numerical model for the analysis of the pavement vibration due to the dynamic load created by a passing vehicle is presented and recommendations for the application of pavement vibration response in early-warning and timely maintenance of road are provided.
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Monitoring Traffic Information with a Developed Acceleration Sensing Node
TL;DR: An acceleration sensing node for pavement vibration was developed to monitor traffic information, including vehicle speed, vehicle types, and traffic flow, where a hardware design with low energy consumption and node encapsulation could be accomplished.