A5101972590- Structural Load-Bearing Analysis
- Water Quality Monitoring and Analysis
- Indoor and Outdoor Localization Technologies
- Heart Rate Variability and Autonomic Control
- Gas Sensing Nanomaterials and Sensors
- Laser Material Processing Techniques
- Microfluidic and Capillary Electrophoresis Applications
- Laser-Ablation Synthesis of Nanoparticles
- Adhesion, Friction, and Surface Interactions
- Biosensors and Analytical Detection
- Cardiovascular and exercise physiology
- Innovative concrete reinforcement materials
- Advanced Chemical Sensor Technologies
- Semiconductor Lasers and Optical Devices
- Chalcogenide Semiconductor Thin Films
- Nanowire Synthesis and Applications
- Quantum Dots Synthesis And Properties
- Speech and Audio Processing
- Fault Detection and Control Systems
- Gait Recognition and Analysis
- ZnO doping and properties
- Analytical Chemistry and Sensors
- Structural Behavior of Reinforced Concrete
- Non-Invasive Vital Sign Monitoring
China Agricultural University
2024
Case Western Reserve University
2019-2022
Kyushu University
2016
Shanghai Jiao Tong University
2003
With the development of Internet Things (IoT), indoor localization has been a research focus in recent years. For inertial measurement unit (IMU)-based method, zero velocity update (ZUPT) uses known at stationary epoch as benchmark to calibrate drift. However, only takes up 24% whole gait cycle time, and drift remaining 76% time is usually estimated according an assumption that linear over which would introduce errors. In this paper, two-step calibration method was proposed based on human...
Vapor–liquid–solid (VLS) growth process of single crystalline metal oxide nanowires has proven the excellent ability to tailor nanostructures. However, VLS oxides in general requires relatively high temperatures, which essentially limits application range. Here we propose a rational concept reduce temperature various nanowires. Molecular dynamics (MD) simulation theoretically predicts that it is possible by precisely controlling vapor flux. This based on dependent "material flux window"...
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