Announcement of the List of Recommended Outstanding Graduation Theses at University Level of the School of Mechanical Engineering and Electronic Information for 2023

Editor：李洁Date：2023-06-12ClickTimes：

According to the “Management Measures for Undergraduate Graduation Thesis (Design) Work”, each major of this School conducted thesis defense for graduates of Grade 2019 and determined the proposed list of university-level outstanding graduation theses to be recommended, which is hereby announced as follows:

Major	Student ID	Name	Supervisor	Thesis Title
Electronic Information Engineering	20191002450	Wang Zhe	Luo Dapeng	Research on low-complexity high-order modulation and soft demodulation techniques
Electronic Information Engineering	20191002076	Zheng Wenhao	Cheng Zhuo	Design of ultra-low power device marking system for IoT based on ink screen technology
Electronic Information Engineering	20191001602	Zhou Bao	Cheng Zhuo	Design and research of aerial inspection robot based on machine vision
Electronic Information Engineering	20191002306	Han Tianyue	Yin Weiming	Spatial correlation analysis of RTK positioning drift
Electronic Information Engineering	20191004138	Liu Xiaoxu	Chen Zhenxing	Deep learning-based detector study for high-dimensional indexed modulation OFDM systems
Electronic Information Engineering	20191001188	Tang Chaoqun	Li Xiang	PAM4 signal transmission based on data center optical interconnection
Electronic Information Engineering	20191004180	Li Hailan	Zhang Jing	Multi-parameter co-measurement based on echo wall mode optical resonant cavity
Electronic Information Engineering	20191004022	Qu Xianyang	Chen Fenxiong	Research on single-image super-resolution reconstruction method based on self-attention mechanism
Mechanical Design, Manufacturing and Automation	20191002056	Lai Jingpei	Cao Wenao	Trajectory foresight algorithm study of a six-degree-of-freedom parallel robot
Mechanical Design, Manufacturing and Automation	20191001491	Li Jiaxin	Li Min	Design and dynamic modeling of wafer inspection motion table
Mechanical Design, Manufacturing and Automation	20191000481	Li Yifan	Xu Linhong	Automatic detection of pure iron microstructure defects based on convolutional neural network
Mechanical Design, Manufacturing and Automation	20191003563	Lu Yiqin	Liu Fuchu	Study on 3D Printing preparation and moisture resistance strengthening of water soluble CaO ceramic cores
Mechanical Design, Manufacturing and Automation	20191000254	Xia Gaoxiang	Lu Guiying	Variable diameter three-axis attitude calibration platform
Mechanical Design, Manufacturing and Automation	20191002776	Cheng Yu	Cheng Siyi	AR-assisted technology for visual inspection of pneumatic solenoid valve assembly quality
Mechanical Design, Manufacturing and Automation	20191002428	Yan Zhichen	Yao Xiangyu	Distributed safe cooperative control of multi-robot systems based on sampling mechanism
Industrial Design	20191000975	Liang Haoyue	Xiao Chang	Design of underground garage drainage robot service system
Industrial Design	20191004482	Zhang Weidi	Xu Jie	Design of flood earthmoving equipment
Industrial Design	20191002332	Wu Yixuan	Chen Xiaoli	Design of intelligent composting equipment system for sustainable community services in rural areas
Industrial Design	20191000437	Yang Chenhao	Chen Xiaoli	Ergonomics-based design of medical walker for the visually impaired
Communication Engineering	20191003425	Chai Jingwen	Ma Li	Deep neural network based RGB image to hyperspectral image reconstruction method
Communication Engineering	20191002512	Chang Wenjing	Wang Jin	Optical waveguide inscription and experimental study of integrated optical electric field sensor based on bismuth germanate
Communication Engineering	20191002093	Yan Qinglong	Zhao Juan	Research on deep learning-based multimode image alignment and fusion algorithm
Communication Engineering	20191000438	Wei Xueyao	Zhao Juan	Improvement of PPO algorithm based on policy representation learning
Communication Engineering	20191002024	Ding Wei	Hao Guocheng	Tensor system error calibration based on three-axis fluxgate sensors
Communication Engineering	20191003742	Long Yuanjiao	Yi Ying	Small target traffic sign detection based on improved Faster R-CNN

Public announcement duration: June 12 to June 14, 2023

If there is any objection during the public announcement period, you can appeal in writing in real name.

Contact: Ms. Chen, Academic Affairs Section; Email: jw07@cug.edu.cn