A5101534952- Infrastructure Maintenance and Monitoring
- Particle accelerators and beam dynamics
- Concrete Corrosion and Durability
- Remote Sensing and LiDAR Applications
- Non-Destructive Testing Techniques
- Particle Accelerators and Free-Electron Lasers
- 3D Surveying and Cultural Heritage
- Geophysical Methods and Applications
- Gastric Cancer Management and Outcomes
- Cholangiocarcinoma and Gallbladder Cancer Studies
- Structural Health Monitoring Techniques
- Superconducting Materials and Applications
- Railway Engineering and Dynamics
- Advanced Measurement and Detection Methods
- Innovations in Concrete and Construction Materials
- Acute Myocardial Infarction Research
- Markov Chains and Monte Carlo Methods
- Peptidase Inhibition and Analysis
- Extracellular vesicles in disease
- Autonomous Vehicle Technology and Safety
- Asphalt Pavement Performance Evaluation
- Protein Kinase Regulation and GTPase Signaling
- Seismic Performance and Analysis
- Flavonoids in Medical Research
- S100 Proteins and Annexins
Central South University
2010-2025
Guizhou University
2024
Xinyang Normal University
2024
Changjiang Water Resources Commission
2023
Chongqing Vocational Institute of Engineering
2023
First People's Hospital of Yunnan Province
2019
Second Xiangya Hospital of Central South University
2012
Third Affiliated Hospital of Sun Yat-sen University
2011
Renji Hospital
2011
Sun Yat-sen University
2011
Abstract Three‐dimensional displacement monitoring over long distances has been a long‐standing concern in the structural health industry. In this study, multi‐degree‐of‐freedom slope method is developed by fusing computer vision and 3D point triangulation method. Attributed to method, problems of outdoor binocular camera calibration, multi‐target mismatching, illumination effects were solved. First, two‐stage calibration proposed accurately calibrate intrinsic extrinsic parameters under...
Crack detection at the pixel level across complex scenarios (structural interference and adverse working conditions) is a critical consideration in maintenance of ballastless track slab (BTS). Although existing deep learning models achieve acceptable accuracy on cracks with monotonous background, ground truth high labor cost inevitable their performance may fall far below theoretical bounds or even cause “all‐black images.” A hybrid algorithm based synthetic data from digital twin model...
Alzheimer's disease (AD) is a progressive neurodegenerative disorder characterized by cognitive decline, neuroinflammation, and endoplasmic reticulum (ER) stress. In recent years, exosomes have garnered significant attention as potential therapeutic tool for diseases. This study, the first time, investigates neuroprotective effects of derived from olfactory mucosa mesenchymal stem cells (OM-MSCs-Exos) in AD further explore role low-density lipoprotein receptor-related protein 1 (LRP1) this...
The automated detection of distress such as cracks or potholes is a key basis for assessing the condition pavements and deciding on their maintenance. A fine-grained pavement distress-detection algorithm based integrated data using digital twin proposed to solve challenges insufficiency high-quality negative samples in specific scenarios An asphalt background model created UAV-captured images, lightweight physical engine used randomly render 5 types 3 model, generating that can provide...
The timely identification of rail internal defects and the application corresponding preventive measures would greatly reduce catastrophic failures, such as breakage. Ultrasonic defect detection is current mainstream method thanks to its advantages strong penetration, high accuracy, ease deploy. 2D B-scan image output by ultrasonic detectors contains rich features defects; however, engineers manually identify localize image, which can be time-consuming, may subject missing or mistakes. This...
This paper presents a comprehensive non-contact computer vision-based system for monitoring cable vibrations in cable-supported bridges, addressing challenges related to low image resolution and feature extraction difficulties at long distances. The proposed utilizes deep learning techniques enhance vibration recognition accuracy offers practical solution without the need target assistance. core of is novel two-stage model, which combines super-resolution (SR) video reconstruction algorithm...
Dysfunction of capsaicin-sensitive sensory nerves is involved in cardiac remodeling, and rutaecarpine has been shown to exert a beneficial effect on function through activating the nerves. This study was conducted explore potential inhibitory remodeling underlying mechanisms. A rat model established by injection isoprenaline (5 mg/kg per day, s.c.) for 10 days. Rutaecarpine (10 or 40 mg/kg, i.g.) coadministrated with evaluate remodeling. After echocardiographic analysis performed, blood...
Capsiate is a non-pungent analogue of capsaicin from CH-19 Sweet peppers. Capsaicin reported to trigger calcitonin gene-related peptide (CGRP) release through activation transient receptor potential vanilloid subfamily member 1 (TRPV1) and produces beneficial effects on gastric mucosa. This study aimed investigate whether capsiate able produce mucosa the protective capsipate occur mechanism involving TRPV1 CGRP release. A rat model mucosal injury was established by oral administration...
Fatigue-related traffic accidents have a higher mortality rate and cause more significant damage to the environment. To ensure driving safety, real-time driver fatigue detection method based on convolutional neural network (CNN) is proposed in this paper. The cascaded by two CNN-based stages, including detecting phase classifying phase. Location Detection Network designed extract facial features localize driver's eyes mouth regions. Then State Recognition training recognize status....
In this study, the rotating welding process of Chinese fir (Keteleeriafortunei) in Guizhou, China, was systematically analyzed. The effects conditions, including dowel-to-guide hole diameter ratio, time, depth, base surface, angle, and dowel type, on performance welded were explored. Moreover, physical chemical changes oftheChinese interface during revealed by Fourier-Transform Infrared Spectroscopy (FT-IR), X-ray Photoelectron (XPS), Diffraction (XRD), Scanning Electron Microscopy (SEM)....
Automatic semantic segmentation of point clouds in railway bridge scenes is a crucial step the digitization process and required for variety subapplications including digital twin reconstruction component geometric quality verification. This paper details method reliably effectively segmenting acquired from complex by unmanned aerial vehicles (UAVs). The involves seven common infrastructure elements using an improved DGCNN after processing low-quality UAVs with score-based denoising...
Terrestrial laser scanning (TLS) technology has the advantages of wide range, high efficiency, and low cost in spatial information collection, so it is widely used infrastructure monitoring measurement. During TLS application, registration positioning point cloud have a direct impact on quality data validity results. The linear distribution tunnel structure lack significant features present challenges 3D clouds railway tunnels. commonly methods are difficult to achieve accuracy prone...
Primary angular acceleration calibration standard is developed by CIMM to generate rotational angle, velocity and acceleration, which are traceable the International System of Units (SI). It can be used calibrate transducers, i.e. accelerometer, transducer, angle transducer obtain amplitude sensitivity phase shift sinusoidal vibration. The measurement systems based on grating laser interferometers introduced in this paper. system PXI bus instrument control exciter, measure output signal...
Natural sand and gravel resources are a local resource. non-renewable in short time not suitable for long-distance transportation. After decades of mining, some areas have been exhausted. The transportation distance natural is getting farther farther, accordingly, the price continues to rise. At same time, continuous disorderly mining has caused serious damage environment resources. During construction large medium-sized water conservancy hydropower projects China, due lack surrounding...
A combination of the H- stripping and phase space painting method is used to accumulate a high intensity beam in Rapid Cycling Synchrotron (RCS) China Spallation Neutron Source (CSNS). The injection system for CSNS/RCS consists three kinds magnets: four direct current magnets (BC1-BC4), eight alternating (BH1-BH4 BV1-BV4), two septum (ISEP1 ISEP2). In this paper, magnetic measurements were introduced data analysis was processed. field uniformity magnetizing curves these given, then fitting...