A5101683073- Machine Fault Diagnosis Techniques
- Gear and Bearing Dynamics Analysis
- Transportation Planning and Optimization
- Traffic Prediction and Management Techniques
- Human Mobility and Location-Based Analysis
- Energy Harvesting in Wireless Networks
- Spectroscopy and Chemometric Analyses
- Innovative Energy Harvesting Technologies
- Urban Transport and Accessibility
- Advanced machining processes and optimization
- Automated Road and Building Extraction
- Advanced MIMO Systems Optimization
- Smart Agriculture and AI
- Energy Efficient Wireless Sensor Networks
- Engineering Diagnostics and Reliability
- Wireless Power Transfer Systems
- Spectroscopy Techniques in Biomedical and Chemical Research
- Industrial Vision Systems and Defect Detection
- Infrastructure Maintenance and Monitoring
- Gait Recognition and Analysis
- Geophysical Methods and Applications
- Structural Health Monitoring Techniques
- Spam and Phishing Detection
- Misinformation and Its Impacts
- Opinion Dynamics and Social Influence
Hainan University
2022
Central South University
2020-2021
Chongqing University
2014-2021
Chinese Academy of Sciences
2014
Traffic flow data collected by traffic sensing devices is crucially important for transportation planning and management. However, are typically distributed sparsely in road networks owing to their high installation maintenance costs. The present study combines license plate recognition (LPR) with taxi GPS trajectory develop a data-driven approach estimating large networks. applied estimate an actual network comprising 5,495 segments using the records of only 68 (1.2% total). Five-fold cross...
This paper mainly forecasts the short-term passenger flow of regional bus stations based on integrated circuit (IC) card data and puts forward an early warning model for flow. Firstly, were aggregated into virtual stations. Then, was predicted by machine learning (ML) method support vector (SVM). On this basis, developed through capacity analysis The results show that prediction accuracy could be improved replacing actual with because is more stable than a single station. accurate enable...
Time-frequency analysis is an effective tool to extract machinery health information contained in non-stationary vibration signals. Various time-frequency methods have been proposed and successfully applied fault diagnosis. However, little research has done on bearing diagnosis using texture features extracted from representations (TFRs), although they may contain plenty of sensitive highly related pattern. Therefore, make full use the textural TFRs, this paper proposes a novel method based...
The planning and operation of urban buses depend heavily on the time-varying origin-destination (OD) matrix for bus passengers. In most cities, however, only boarding information is recorded, while alighting not available. This paper proposes a novel method to predict destination single passenger based smartcard data, metro global positioning system (GPS) data. First, attractiveness each stop in line was evaluated, considering nearby stations. Then, exploration preferential return (EPR)...
Recently, energy harvesting technology has been introduced into wireless sensor networks to solve the traditional battery-powered bottleneck problem. However, due battery capacity limitation, harvested would overflow while nodes are in saturation status. Aiming at this, we consider topology control approach EHWSNs that allows each node adaptively adjust its transmission power level utilize efficiently. Specifically, first model nodes' behaviors as an ordinal potential game where high...
Concrete exterior quality is one of the important metrics in evaluating construction project quality. Among defects affecting concrete quality, bughole most common imperfections, thus detecting accurately significant for improving and consequently whole project. This paper presents a deep learning-based method surface bugholes more objective automatic way. The are identified images by Mask R-CNN. An evaluation metric developed to indicate scale bughole. proposed approach can detect an...