[1] Architecture of Autonomous Vehicle Based on Fog Computing for Industrial Internet of Things.
[2] Allocation Strategy of Fog Computing Resource in Industrial Internet of Things
[1] Finished for the KICS conference.
[2] Making the proposed system in resource allocation strategy.
[1] Continue the system design of the paper.
[1] Making the specific topic for INDIN conference.
[2] Learning the way to allocate the resource by existing strategy.
[2] Making the simulation result through the previous paper.
[1] Drone with automatically vertical take off and landing (VTOL) [2] Xeline Control Protocol
[1] installing NVidia CUDA, YOLO, gazebo simulator, darknet library and other packages to implement the image processing for detection object using drone.
[1] Flying a drone through the manual command in ROS (take off, rotate, forward, and landing).
[2] Analysis the XCP code.
[1] Make a source code in python to make the drone automatically take off, forward, and landing.
[1] Use the YOLO and packages to detect the object from the camera, also detect the moving object.
[2] Analysis the XCP code.
-Revised the proposed architecture in [1] paper based on fog computing.
-Understanding about how to use the fog simulator.
-Able to write at least one in domestic conference.
-Able to write at least one in international conference and journal.
-Understand to using the NS3.