- GPA：3.7 | 4分制
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.
Electrical Engineering is a broad, constantly evolving discipline with topics that connect to physics, chemistry, computer science, mathematics, and biology. Electricity is central to our lives and its role will continue to grow in the coming decades as green transportation and renewable energy rely more and more on smart electric energy. Electrical engineers also design communication networks, wireless systems, autonomous systems, computing systems, and signal and information processing systems. They invent advanced electronic and photonic devices, integrated circuits, or information processing systems. Techniques and methods developed in Electrical Engineering are at the forefront to help solve problems in biomedical engineering, bio-engineering, and neuro-engineering.
Our department is among the oldest in the United States and has a storied history including being at the foundation of modern radio communications, control engineering, and multimedia coding. And, every day we are hard at work at pushing new frontiers in Electrical Engineering with innovative teaching and state-of- the-art research.
We offer BS, MS and PhD/DES programs in Electrical Engineering and, jointly with the Computer Science Department, in Computer Engineering. The BS program gives students a rounded foundation in EE, with depth specializations in photonics & devices, circuits & electronics, signals & systems, and communications & networking. Our MS program is highly flexible to accommodate each student’s needs, while offering the opportunity to study the newest and most important EE topics in depth. In all areas, we stress a hands-on approach, with theory strongly motivated by practical applications. PhD students work closely with their faculty advisors on exploring the new frontiers in research to prepare them for academic or industrial research careers.
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