A5037392372- Human-Automation Interaction and Safety
- Safety Warnings and Signage
- Risk and Safety Analysis
- Advanced Vision and Imaging
- Advanced Image Processing Techniques
- Aerospace Engineering and Control Systems
- Flood Risk Assessment and Management
- Lung Cancer Diagnosis and Treatment
- Radiomics and Machine Learning in Medical Imaging
- Sleep and Work-Related Fatigue
- Space Exploration and Technology
- Multimodal Machine Learning Applications
- Human Pose and Action Recognition
- Military Defense Systems Analysis
- Aerospace and Aviation Technology
- Infrared Target Detection Methodologies
- Target Tracking and Data Fusion in Sensor Networks
Zhongji Test Equipment (China)
2024-2025
Tsinghua University
2024
Shenyang Institute of Automation
2024
University of Chinese Academy of Sciences
2024
Automated analysis of aviation safety reports is helpful in effectively preventing future accidents and improving emergency response capabilities. To date, there are no publicly available large-scale text similarity datasets, which hinders the successful application NLP techniques domain. We present an automatically created dataset consisting more than 500,000 pairs for fine-tuning pretrained language models. Since technical terms have specialized meanings that differ from everyday language,...
BACKGROUND: The aircraft cockpit is a highly intensive human-computer interaction system, and its design directly affects flight safety.OBJECTIVE: To optimize the display interface in complex tasks, present study aimed to propose dynamic conceptual framework timeline task analysis method for quantization of time effect mental workload influencing factors types prediction model.METHODS: multi-factor model based on attention resource allocation was integrated establish workload.The ergonomics...
Incorporating visual cues to anticipate and describe future events holds significant promise for enhancing user-friendly early warning systems in emergency response scenarios. However, a notable limitation existing video captioning techniques is their predominant focus on describing ongoing within observed videos. The challenging task of predicting captions unobserved videos based remains largely unaddressed. In this gap, we introduce novel neural network architecture termed the Anticipation...
Based on Boyd’s “Observation Orientation-Decision-Action (OODA)” aerial combat theory and the principles of operational success, an analysis division patterns for cross-generational human-machine collaboration was conducted. The research proposed three stages in development fusion intelligence: “Human-Machine Separation, Functional Coordination,” Trust, Task Integration, Deep Fusion.” Currently, transition from first stage to second is underway, posing challenges primarily related lack...