A5100654920- Structural Load-Bearing Analysis
- Structural Behavior of Reinforced Concrete
- Industrial Vision Systems and Defect Detection
- Fire effects on concrete materials
- Mechanical stress and fatigue analysis
- Image Processing Techniques and Applications
- Drug Transport and Resistance Mechanisms
- Infrared Target Detection Methodologies
- HVDC Systems and Fault Protection
- High-Voltage Power Transmission Systems
- Infrastructure Maintenance and Monitoring
- Anomaly Detection Techniques and Applications
- Asphalt Pavement Performance Evaluation
- Smart Grid and Power Systems
- Visual Attention and Saliency Detection
- Liver Diseases and Immunity
- Power Systems and Technologies
- Structural Engineering and Materials Analysis
- CCD and CMOS Imaging Sensors
- Computational Physics and Python Applications
- Image and Object Detection Techniques
- Image Enhancement Techniques
- Advanced Measurement and Detection Methods
- Power Systems and Renewable Energy
- Polymer Nanocomposites and Properties
China Southern Power Grid (China)
2019-2024
Guilin Medical University
2024
Hefei University of Technology
2023-2024
Chang'an University
2024
Chongqing University
2023
Beijing Institute of Technology
2020
China Jiliang University
2019
Recent vision transformers, large-kernel CNNs and MLPs have attained remarkable successes in broad tasks thanks to their effective information fusion the global scope. However, efficient deployments, especially on mobile devices, still suffer from noteworthy challenges due heavy computational costs of self-attention mechanisms, large kernels, or fully connected layers. In this work, we apply conventional convolution theorem deep learning for addressing reveal that adaptive frequency filters...
This work aimed to investigate the effects of aging on microstructures and rheological properties modified asphalt with a GO/SBS composite, since styrene–butadiene–styrene block copolymer is potentially compatible graphene oxide (GO). The composites, which were used as kind modifier, prepared via solution-blending method. composites varying GO contents employed prepare GO/SBS-compound-modified (GO/SBS-MA). Then, GO/SBS-MA underwent PAV (pressure vessel) or UV (ultraviolet) tests simulate...
Anomaly monitoring of production line processing equipment based on machine vision is an important method for ensuring its efficient and stable operation. However, problems related to dynamic scenes, accidental non-transcendental anomalies, image vulnerability the severe vibrations machining equipment, difficulty in accepting missing detection are significant obstacles abnormality process. A periodic motion scene decomposition presented this paper solve occasional vibrations, other issues....
Abstract In this paper, a new connection between the H‐beam and rectangular concrete‐filled hot‐rolled‐steel tubular column (CFHRSTC) was proposed to prevent steel beam‐column joint protruded from inside wall in residential buildings. The quasi‐static test finite element analysis were conducted on four joints study influence of haunch stiffener configuration, internal plate thickness, axial force failure mode, load‐carrying capacity, ductility, energy dissipating stiffness degradation joint....
The shear behavior of connectors in steel-concrete composite structures mainly depends on its load-slip relationship. relationship not only reflects the capacity and slip connectors, but also degradation stiffness during loading. In this study, fifteen push-out tests were carried out to investigate novel bearing-shear (B-S) which consist pressuring-bearing plates plates. Based tests, influence shape height pressure-bearing plate, plate B-S was analyzed. Then, an effective finite element...
Due to the large-scale interconnection of nowadays power systems, when grid is affected by extreme typhoon weather, probability cascading failures will increase significantly. Based on existing accident chain-based failure model, a fault assessment model considering impact proposed. Firstly, combined with wind field modeling typhoon, simulating movement, studying line within scope. overload-driven failure, combining external factors effective speed and system correlation proposed, chain...
Abstract Industrial parts detection are often studied in three-dimensional space, because of subparts occlusion, the choice view has a great impact on results. In this paper, method object combined with 3D CAD model is proposed, based convolutional neural network was used to screen visual angle, so as eliminate influence caused by occlusion parts, which provides general for selection optimal view.
With the expansion of China's power grid, scale, transmission distance and load capacity projects are all growing rapidly. Meanwhile, problem line running state detection is also attracting more attention. Electric field under high voltage taken as research object in this paper, principle electric inverse operation analyzed, two kinds calculation objects methods nondestructive examination described detail. There intelligent algorithms paper order to solve several unknown solutions operation....