A5011226113- Virtual Reality Applications and Impacts
- 3D Shape Modeling and Analysis
- Metallurgy and Material Forming
- Industrial Vision Systems and Defect Detection
- Innovative Human-Technology Interaction
- Fatigue and fracture mechanics
- High Temperature Alloys and Creep
- Data Visualization and Analytics
- Interactive and Immersive Displays
- Educational Games and Gamification
- Mechanical Failure Analysis and Simulation
- Probabilistic and Robust Engineering Design
- Augmented Reality Applications
- Digital Games and Media
- Hydraulic and Pneumatic Systems
Vision Medicals (China)
2024
China Telecom
2023
Xi’an Jiaotong-Liverpool University
2023
China Telecom (China)
2023
Digitization is becoming a significant trend in cultural learning. In this context, we present TimeQuestAR, an interactive board game to foster public interest and understanding of culture within the ancient capital China, Jinling. The design grounded principles situated visualization, offers users immersive, contextually rich experiences that deepen their historical narratives. We provide overview TimeQuestAR conduct user evaluation through in-depth interviews. Our findings indicate...
This paper mainly introduces related research of the full screen technology for face recognition under OLED screen. By analyzing and studying influence infrared light irradiation on screen, especially TFT, relevant mechanism analysis is completed, corresponding optimization solution proposed, so as to realize achieve perfect technical combination recognition, true display.
The Metaverse has been gaining more attention from researchers worldwide. As the avatar of human in Metaverse, three dimensional (3D) digital also attracted extensive attention. At present, large-scale application 3D cannot be realized. reason is that construction cost too high, and it mostly completed manually, especially for building a drivable human. research on intelligent modeling modularized, lacking system integration to generate This paper proposes generation method, constructs an...
Abstract Artificial intelligence-based fatigue analysis methods have gained considerable attention in recent years, but little research has been conducted on the behaviors of assembled structures, which involve numerous factors that impact structural life and complicated assembling associations parameter selection. This paper presents a hybrid machine learning (ML) model-based evaluation platform for data-driven analyses parameterized industrial pump spindle considers impacts variable loads...