A5103267544- Robotic Path Planning Algorithms
- Mechanical and Optical Resonators
- Microgrid Control and Optimization
- Industrial Vision Systems and Defect Detection
- 3D IC and TSV technologies
- Pharmacological Effects of Natural Compounds
- Geophysics and Sensor Technology
- Robotic Locomotion and Control
- Power Quality and Harmonics
- Pulmonary Hypertension Research and Treatments
- Aerospace Engineering and Control Systems
- Vehicle Dynamics and Control Systems
- Photonic and Optical Devices
- Adaptive Control of Nonlinear Systems
- Control and Dynamics of Mobile Robots
- Phytochemistry and Bioactive Compounds
- Atomic and Subatomic Physics Research
- Electric Power System Optimization
- Multilevel Inverters and Converters
- Natural product bioactivities and synthesis
- Advanced Statistical Process Monitoring
- Bat Biology and Ecology Studies
- Cancer, Hypoxia, and Metabolism
- Chronic Obstructive Pulmonary Disease (COPD) Research
- Optimal Power Flow Distribution
Huazhong University of Science and Technology
2020-2025
University of Wisconsin–Stout
2025
Tibet University
2021
Yibin University
2016
Metabolic reprogramming is a hallmark of pulmonary arterial hypertension. Platelet activation has been implicated in hypertension (PAH), whereas the role platelet pathogenesis PAH remains unclear.First, we explored function semaxanib' inhibitor VEGF receptor (SU5416)/hypoxia mice and monocrotaline-injected rats model. Then investigated smooth muscle cell aerobic glycolysis after being treated with supernatant. TGF (transforming growth factor)-βRI, pyruvate kinase 2, other antagonists were...
Abstract This paper focuses on investigating the existence and stability of periodic forced oscillation in an abstract parabolic equation subjected to a time‐periodic force within given medium. can be related 2D Navier–Stokes hydrodynamic models under specific physical settings. First, we prove such solutions, then examine their local or global stability. Corresponding properties are pursued for solutions with high regularity.
The solution of how to plan out the cooperative moving trajectory autonomously and control motion carrier-based aircraft timely accurately is key helping improve overall deck operation efficiency. main problem discussed in this article coordinated planning strategy for multicarrier between tractor carrier aircraft. First, kinematic model three-degree-of-freedom dynamics towbarless traction system are established. Then, a coevolution mechanism systems proposed ensure among multiple adapted...
Abstract Active power filters (APF) can compensate for harmonics and reactive power. The traditional APF PI control has difficulty in parameter setting, the characteristics of lag, accuracy current is low. three-level needs to consider multiple objectives. Finite Control Set Model Predictive (FCS-MPC) a newly proposed method that increase constraints multi-objective control. According limited switching state, it tracks reference dynamic Fast response good compensation results. In this paper,...
For On-Product Overlay (OPO) control in high volume manufacturing, the process induced lot-to-lot (L2L) variation is still a persistent challenge. In this paper, we investigated large data-set to find root-cause and eventually L2L critical layer of an advanced logic node. We identify cause change one previous layers, out high-order (HO) correction feedforward (FF) method which able reduce OPO re-work rate by 19% 86%, respectively. show further that even after stable, FF useful for reducing...
Purpose It is very indispensable for the various control centers of multi-transmission system owners (TSOs) grids to coordinate their reactive power optimization (RPO) efforts. However, such coordinated equilibrium point comparatively hard achieve unless one TSO center could obtain all grids’ information in detail, which may lead confidential issue and heavy communicating load. The purpose this paper propose a solution optimizing efforts among multi-TSOs with mathematic interconnection model...
Context-based wafer grouping is a technique to enhance run-to-run control performance by using historical process context information. In this work, we show how machine learning with overlay metrology data and can be used detect which steps dominate the correctable generate group-based model for inline control. The resulting in shadow-mode one key MOL layer of an advanced node Logic product. predicted improvements are drop rework rate 9% as well reduction mean-plus-three-sigma stacked 0.29 nm.