A5063718603- Infrastructure Maintenance and Monitoring
- Structural Health Monitoring Techniques
- Geotechnical Engineering and Underground Structures
- Handwritten Text Recognition Techniques
- Advanced Decision-Making Techniques
- Image Processing and 3D Reconstruction
- Natural Language Processing Techniques
- Face and Expression Recognition
- Emotion and Mood Recognition
Shanghai Jiao Tong University
2022-2024
Huzhou University
2024
Structural Health Monitoring (SHM) systems have become a crucial tool for the operational management of long tunnels.For immersed tunnels exposed to both traffic loads and effects marine environment, efficiently identifying abnormal conditions from extensive unannotated SHM data presents significant challenge.This study proposed model-based approach anomaly detection conducted validation comparative analysis two distinct temporal predictive models using real tunnel.Firstly, dynamic method is...
Tunnels generally operate underground or underwater in a complex environment. As result, the health monitoring system is inevitably affected by various environmental factors, which introduces noise to system. However, contained sequence may disrupt structural damage identification and state assessment as real response be overwhelmed noise. To properly eliminate an objective way, this study proposed improved wavelet threshold denoising method. Firstly, it adopts quantitative factor, namely...
Structural health monitoring (SHM) is gradually replacing traditional manual detection and becoming a focus of the research devoted to operation maintenance tunnel structures. However, in face massive SHM data, autonomous early warning method still required further reduce burden analysis. Thus, this study proposed dynamic for data based on ARIMA applied it concrete strain Hong Kong-Zhuhai-Macao Bridge (HZMB) immersed tunnel. First, wavelet threshold denoising was filter noise from data....
The quality of people’s lives is closely related to their emotional state. Positive emotions can boost confidence and help overcome difficulties, while negative harm both physical mental health. Research has shown that handwriting associated with emotions. In this study, audio-visual media were used induce emotions, a dot-matrix digital pen was collect neutral text data written by participants in three states: calm, happy, sad. To address the challenge limited samples, novel conditional...