A5102957676- Meteorological Phenomena and Simulations
- Manufacturing Process and Optimization
- Wind and Air Flow Studies
- Advanced Measurement and Metrology Techniques
- Radioactive contamination and transfer
- Climate variability and models
- Plant Water Relations and Carbon Dynamics
- Industrial Vision Systems and Defect Detection
- 3D Shape Modeling and Analysis
- Computational Geometry and Mesh Generation
University of Science and Technology of China
2021
China Meteorological Administration
2014
In this study, a deep learning method named U-net neural network is utilized to calibrate the gridded forecast of surface air temperature from Global Ensemble Forecasting System (GEFS), with lead times 1–7 days in Xinjiang. The calibration performance compared three conventional postprocessing methods: unary linear regression (ULR), decaying averaging (DAM) and Quantile Mapping (QM). Results show that biases raw GEFS forecasts are mainly distributed Altai Mountains, Junggar Basin, Tarim...
Abstract Optimizing the fixture layout of locating element is an important method to reduce clamping deformation thin-walled parts. A for optimizing based on whale optimization algorithm proposed in this paper, number and positions fixtures curved parts are optimized. Firstly, multi-point flexible tooling developed support technology. Then strain energy used describe all directions, model that takes position as a decision variable minimum goal established. Combined with parameterized finite...
The quality of mesh generation has long been considered a vital aspect in providing engineers with reliable simulation results throughout the history Finite Element Method (FEM). element extraction method, which is currently most robust used business software. However, order to speed up extraction, approach done by finding next that optimizes target function, can result local bad after many time steps. We provide TreeMesh, method uses this conjunction reinforcement learning (also possible...