Kim Hyeong Jin
[1] Design of HVAC System in Vehicle by Analyzing Driver's usage Pattern based on Machine Learning - KICS Summer 2019
[2] Design of Technique on the Monitoring and Reconnaissance Route for UAV Based on AI - KICS Fall 2019
[3] Design and Performance Evaluation of Technique on the Mission Path Planning based on AI - KICS Summer 2020
[4] Design of Flying ad-hoc Network based on DDS(Data Distribution Service) in Battlefield Environment - Summer Intensive
- Machine Learning-Based Field Data Analysis and Modeling for Drone Communications
- Deep Learning for Super-Resolution Channel Estimation and DOA Estimation Based Massive MIMO System
- Deep Q-Learning-Based Node Positioning for Throughput-Optimal Communications in Dynamic UAV Swarm Network
- Survey about FANET and middleware
- Study on Machine Learning using Python
- Study NS-3 Programming
- Survey about network routing algorithm
- Survey about UAV Network field
- Install DDS to JETSON NANO board
UAV
1. UAV Node-to-Node Communication Using EMW
- Complete communications after changing channels between nodes
- Complete Video streaming and save as MPEG-4
2. Image Detecting
- Complete Image Detecting with YOLO
- Occurring time delay when using Raspberry Pi
3. Drone Control using QGC(Q Ground Control)
- Success control drones based on GPS
4. OLSR (Optimized Link Routing Protocol) Simulation
- Complete OLSR simulation with Gazebo
- Replace Raspberry-Pi to Jetson Nano to improve performance
- Communication using WME device
1. Replace Raspberry-Pi to Jetson Nano to improve performance
- EMW Communication
- Image Detecting
2. Implementation OLSR protocol for UAV based network in real-world environment
- with Golam
- using Pixhawk
3. Design application to using Android Studio
- with Minhui
4. Control drone using Image detecting based on Q Ground Control
- with Jaehyeon
5. Journal
- Migration Minimization Scheme for Virtualization-based Naval Combat System Cluster
- Submitting at least one international journal paper