A5102212181- Mechanical Behavior of Composites
- Hydrology and Drought Analysis
- Hydrology and Watershed Management Studies
- High-Velocity Impact and Material Behavior
- Textile materials and evaluations
- Neural Networks and Applications
- Infrared Target Detection Methodologies
- Advanced Image Fusion Techniques
- Flood Risk Assessment and Management
- Plant and Fungal Species Descriptions
- Nuclear Materials and Properties
- Traditional Chinese Medicine Analysis
- Plant Ecology and Taxonomy Studies
- Climate change and permafrost
- Blind Source Separation Techniques
- Fusion materials and technologies
- Environmental and Agricultural Sciences
- Network Security and Intrusion Detection
- Machine Learning and ELM
- Seismology and Earthquake Studies
- Internet Traffic Analysis and Secure E-voting
- Groundwater and Isotope Geochemistry
- Paleontology and Stratigraphy of Fossils
- Cellular and Composite Structures
- Geochemistry and Elemental Analysis
Changchun Institute of Optics, Fine Mechanics and Physics
2025
Chinese Academy of Sciences
2025
Hanyang University
2024
Xinjiang University
2024
Convergence
2024
Wuhan University
2024
University of Science and Technology Beijing
2024
The University of Texas at Arlington
2019
State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering
2011
Princeton University
2002
The principle of the image fusion is to integrate complementary information heterogeneous images obtain a fused that more in line with visual effect human eyes. However, most decomposition methods cannot distinguish textures and edges an image, which easy produce halo artifacts around edges. In this paper, we proposed novel strategy (co-occurrence analysis shearlet transform, CAST) preprocess input depending on co-occurrence statistic generate base layer detail components. order improve...
Fabric-layered composites play a crucial role in safety and surveillance applications, making it imperative to accurately predict their impact behavior. This research focuses on creating machine-learning model the behavior of fabric-stacked composites, specifically carbon Kevlar fabrics. Low-velocity tests were performed with varying parameters, energy laminate thickness information used train models properties such as force, displacement, absorbed energy. It was observed that force...
Abstract The study aimed to investigate the impact behavior of fabric laminates composed carbon, Kevlar, and hybrid materials through low‐velocity tests. Non‐hybrid were created using layup techniques with sandwich stacking sequences. Drop weight tests conducted varying levels energy assess influence sequence hybridization on properties. results showed significant improvements in properties increasing sequence, particularly a 108.8% 137.4% enhancement C4 K4 laminates, respectively. Kevlar...
Sudden-onset Earth's surface anomalies, such as natural disasters and man-made incidents, pose severe threats to human life property security, emphasizing the crucial role of accurate detection rapid response in Humanitarian Assistance Disaster Response (HADR). In this work, we propose a hierarchical graph neural network (GNN) based framework for anomaly detection, called L2S-Net, integrate from local semantic (L2S) information multi-class anomalies. Specifically, L2S-Net only utilizes...
In this work, the distribution and segregation behaviors of helium (He) effect yttrium (Y) on these in symmetrical tilt tungsten (W) Σ5(310)/[001] grain boundary (GB) region were studied using first-principles calculations. The results revealed that GB has a significant impact He W. solution energies W increase with increasing distance from to are inversely proportional effective electrons He. density states analysis showed can suppress partial hybridization between atoms. addition, we find...
Sharp objects like knives and axes are tools designed for cutting chopping tasks. However, their sharp edges also make them potentially dangerous capable of causing harm to people. Herein four distinct types were examined the penetration damages brought on by stabbing carbon Kevlar fabrics. The analysis stated damage patterns resulting from impacts concentrated factors that influence fabric penetration. Penetration force was recorded with different impact velocities material, revealing...