Title 1:
Enhanced Faulty Node Detection using Interval Weighting Factor for Distributed System (Journal of Communication and Networks) (S) (Status: ED immediate Decision)
Title 2:
Deep-reinforcement Learning for Traffic Signal Optimization in Edge-based Traffic Control System
(Target Journal: ELSEVIER Future Generation Computer Systems) (S) (Status: Ready for decision)
Title 3:
Resource Allocation using Multi-level Edge Computing Network for Industrial Internet of Things (Will change the title) (Conference)
Title 1:
Learn some new schemes of fault node detection for IIoT.
Title 2:
Learn how can use the UAV in smart transportation system.
Title 3:
Studied a paper related with proactive edge computing in latency-constrained fog networks
Added the system model which utilize the proactive caching of computing task for IIoT.
Studied the reinforcement learning method which will match with problem formulation.
Title 1:
Learn some new schemes of fault node detection for IIoT.
Title 2:
Learn how to combine some edge node to the smart transportation system that using the partitioning mechanism for resource allocation of edge node.
Title 3:
Choose the reinforcement learning method for resource allocation within proactive edge computing.
Try to make a simulation code based on the proposed system.
Make one result, which is execution time for each computing task.
Write and fix the system model, problem formulation, and proposed system.
Project 1: 3D printing, Project 2: Website management, Project 3: UAV routing protocol (testbed)
Project 1:
Studied how the scan-head work.
Illustrate the wiring of laser marking machine.
project 2:
Add some content of international conference in new website.
Project 1:
Still studying how the scan-head work.
Reinforcement learning algorithm.
-Able to write at least one in a domestic conference.
-Able to write at least one in international conference and journal