- GPA：3.7 | 4
Image Style Migration Based on Neural Network
➢ Propose an image style migration algorithm with semantic segmentation based on deep convolutional neural networks.
➢ Define content image loss and style image loss functions; perform semantic segmentation on content images and style images respectively, and apply Matting algorithm to content image. 10/2019-05/2020
Authentication and Encryption of UVA Communication 04/2018-07/2018
➢ Designed Key Exchange and Distribution by using the ECC algorithm to generate Master Key and AES for Session Key.
➢ Set update frequency according to the complexity of algorithms, e.g., sub-master Key updated every 20 connections, and Session Key updated every 5 minutes.
➢ Designed the Key Exchange Protocol in the presentation layer.
Zeta1 Smart Vending Machine 03/2018-07/2018
➢ Determined the replenishment andk shipping methods of the vending machine, designed the mechanical structure centered on the turntable mechanism and made prototypes.
➢ Realized the functions of reading color and identifying allergen information on the user's card by using TCS3272 optical-to-digital converter with I2C serial bus.
➢ Accomplished the GUI design with Winform platform to complete the PC interface, including modules such as voice broadcast, bilingual switching, identification and external communication.
➢ Realized communication between FPGA and MCU and PC by serial protocol.
➢ drove the machine with servo motor and controlled the amplitude with PWM duty cycle.
Design of Intelligent Vehicle Avoiding Obstacles 10/2016-01/2017
➢ Realized main control module with STM32 programmed in C language.
➢ Accomplished tracking strategy and design with five infrared probes detecting the track and sending feedback to STM32 microprocessor for automatic analysis.
➢ Achieved obstacle avoidance strategy by using ultrasonic sensors and STM32 microcontroller to identify obstacles and make moves accordingly.
➢ Realized motor driving strategy through achieving speed control of dc motor by setting duty ratio of PWM signal.
Research of Routing Protocol for UAV Ad hoc Network Based on Geographic Position
➢ Researched common routing protocols used by MANETs, VANETs, and UANETs;
➢ Proposed WSR-3D routing protocol; designed sparsity detection mechanism, destination node location acquisition mechanism, and credibility measurement mechanism; improved the reliability of the routing protocol and reduced the number of invalid hops in the routing process;
➢ Modeled and simulated WSR-3D on OPNET; tested the successful packet delivery rate, average throughput rate, and end-to-end delay; compared and analyzed the simulation results of different numbers of nodes to improve the performance of the protocol;
➢ Compared WSR-3D and GGF routing protocols; observe the effect of routing hole processing mechanism on the performance of the protocol; WSR-3D routing protocol improves the successful delivery rate of data packets and reduces the end-to-end delay.