A5078710866- GaN-based semiconductor devices and materials
- Metal and Thin Film Mechanics
- Advanced Image Fusion Techniques
- Robotic Mechanisms and Dynamics
- Vibration and Dynamic Analysis
- Robotics and Sensor-Based Localization
- Image and Video Quality Assessment
- Advanced Measurement and Metrology Techniques
- Human-Automation Interaction and Safety
- Advanced Statistical Process Monitoring
- Distributed and Parallel Computing Systems
- Air Traffic Management and Optimization
- Distributed systems and fault tolerance
- Advanced Vision and Imaging
- Robotic Path Planning Algorithms
- Autonomous Vehicle Technology and Safety
- Cloud Computing and Resource Management
- Silicon Carbide Semiconductor Technologies
- Distributed Sensor Networks and Detection Algorithms
- Acoustic Wave Resonator Technologies
- Material Properties and Processing
- Advanced Surface Polishing Techniques
- Mobile Crowdsensing and Crowdsourcing
Chinese University of Hong Kong, Shenzhen
2023
Xi'an Jiaotong University
2022
Nanjing University
2002-2019
Huazhong University of Science and Technology
2012
At ambient substrate temperatures, NbN and AlN thin films as well NbN/AlN/NbN sandwiches are prepared on single crystal MgO substrates, using direct current (dc) or radio frequency (RF) magnetron sputtering techniques. Excellent orientations of these structures revealed by x-ray diffraction transmission electron microscopy (TEM), while photoelectron spectroscope (XPS) shows that the stoichiometric composition is 1: 0.9 (Nb:N). Furthermore, AFM (atomic force microscope) scans indicate a root...
The lateral motion of the web is one most common problems in roll-to-roll (R2R) systems, which results degraded product quality, waste, or even processing interruption. An industrial proportional-integral-derivative (PID) controller with fixed gain mostly used for position control. In fact, model parameters dynamics such as tension and transport velocity are seldom exact. Variations these could significantly affect dynamics. A dynamic matrix control (DMC) strategy adopted offset pivot guide...
Air Traffic Flow Management (ATFM) is a complex sequential decision-making problem that involves dynamically matching flights with sectors under changing environmental conditions. Finding an optimal solution for ATFM challenging due to its dynamic nature and operational constraints. Reinforcement learning well-suited approach problems. However, poses three potential challenges: 1) large state space, 2) combinatorial action 3) variational feasible set, resulting from numerous agents...
Pick-and-place robot is usually a 4 degrees-of-freedom (DOFs) apparatus and indispensable in flip chip bonder. Placement accuracy the most important index to evaluate it. To improve placement accuracy, machine vision generally utilized provide exact pose parameters of pad, which two must be aligned with each other before placement. This paper proposes an effective vision-based kinematic calibration method calibrates 3 translational DOFs 1 rotational DOF pick-and-place robot, respectively....
As large language models continue to scale up, the imperative for fault tolerance in distributed deep learning systems intensifies, becoming a focal area of AI infrastructure research. Checkpoint has emerged as predominant strategy, with extensive studies dedicated optimizing its efficiency. However, advent sparse Mixture-of-Experts (MoE) model presents new challenges traditional checkpoint techniques due substantial increase size, despite comparable computational demands dense models....
Aluminium nitride (AlN) is very useful as a barrier in superconductor–insulator–superconductor (SIS) device or an insulating layer many other applications. At ambient temperature, we deposit AlN thin films onto different substrates (such MgO, LaAlO3 and Si) by using radio-frequency magnetron sputtering pure Al target. X-ray diffraction (XRD) Φ-scan patterns show that the grown on MgO are excellent epitaxial with (101) orientation of hexagonal lattice. A possible structure interface between...
Images are important judicial materials. With the deepening of intelligent systems in area, image quality plays a vital role result many applications. This paper firstly introduces deep learning into assessment. Pre-trained convolutional neural network (CNN) models fine-tuned and then used to extract features. Based on features extracted from CNN models, we convert them specific numbers representing quality. A preliminary experiment has been designed conducted three types images. The...