A5061232691- IoT and Edge/Fog Computing
- Surface Roughness and Optical Measurements
- Context-Aware Activity Recognition Systems
- Virtual Reality Applications and Impacts
- Simulation and Modeling Applications
- Innovative Educational Techniques
- Innovative Teaching Methods
- Optical Polarization and Ellipsometry
- Educational Technology and Pedagogy
- Optical Coherence Tomography Applications
- AI and Multimedia in Education
- IoT-based Smart Home Systems
Zhengzhou Railway Vocational & Technical College
2022
Huaqiao University
2021
Hohai University
2019
The development of information technology has brought tremendous changes to our country’s education. Based on the 5G + Internet, article proposes a brand-new intelligent education model and an ST analysis method, which mainly studies teacher students in classroom. Class performance, based Yebes network, proposed learning decision method application. research results show following: (1) compares monthly test scores three variables under two different teaching modes. that performance online...
Scenic vistas of Quanzhou are displayed in a 720° perspective as an immersive live 3D display to provide real digitalized virtual reality experience.In this paper, we report our research on simulating and exploring the extensive scenery Maritime Silk Route support cultural tourism.Users can access "Maritime Route" applet their mobile phone by approaching sensor or scanning QR code.
Abstract Since most of the traditional elderly assistant system cannot achieve remote control and send immediate notifications to their families when falling occurs, a somatosensory interactive controllable & custody is designed realized based on Kinect Gizwits in this paper. Old people’s can be detected via depth images skeleton information captured by sensor notified family members through web service. Remote simulated smart home appliance mobile APP achieved Data Points set cloud...
数字散斑相关方法有着测量环境简单、全场非接触等优点，但算法效率一直是限制其发展的瓶颈之一。GPU有着天然的并行性，GPU高性能运算可以为计算机图形处理带来极大的效率提升。利用CUDA平台编程对传统的数字散斑逐点搜索算法、十字搜索算法及遗传算法进行GPU高性能并行处理，并与传统方法比较分析。实验结果表明，对于尺寸为150150像素的散斑图像，3种方法效率分别提升了20倍、8倍、31倍；对于尺寸为500500像素的散斑图像，3种方法效率分别提升了183倍、33倍、44倍；对于尺寸为1 0001 000像素的散斑图像,3种方法效率分别提升了424倍、116倍、44倍。