Liu Zhiyong
Postgraduate of Applied Computational Science and Engineering
Imperial College London
Social
Contact:
Jiulong International
Rantun E Rd, Zhongyuan District
Zhengzhou, Henan
China
Hosted on GitHub Pages — Theme by orderedlist
Computer Code
Python
- Maze-Solving-Robot: A physical robot based on the control of Raspberry Pi was developed to design the maze solving algorithm and realize the solution of the maze in the real scene.
- Asteroids Predictor: A fast numerical simulator to predict the fate of asteroids entering Earth’s atmosphere, and use this simulator to develop a hazard mapper for an impact over the UK, then visualized it.
- Mineral Recovery Optimizer: A mineral recovery Optimizer using Genetic Algorithms, and generate a best circuit, then visualized it.
- Forecasting Induced Seismicity in Oklahoma: Several unique and rich datasets of candidate factors from regions in Oklahoma are used to statistically evaluate and retrospectively forecast possible signatures of human-induced seismicity from existing high-quality earthquake in these regions. These datasets contain geological formation, injections, hydraulic fracturing activities and wells, each of which have millions of items.
This project originally designed and implemented a feedforward neural network model for induced seismicity forecasting, which effectively improves the performance of model fitting and prediction compared with logistic regression model also common-used in previous studies. The superiority of our neural network model was proven and their results about major factors to seismicity by two models were compared.
C++
Java
- EmailClient: A mail client that can send messages.
- Go_Back_N: Implement the Go_Back_N sliding window protocol.
- Card Game: Design and implement a card game.
- Chat Room: A chat room using network communication protocols.
- LCR and HS: Implement LCR and HS leader election algorithm in distributed system.
- FloodSet and OptFloodSet: Implement FloodSet and OptFloodSet argeement algorithm in distributed system.
Machine Learning Resources