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
(Summer Intensive) (Rejected: ELSEVIER Future Generation Computer Systems) --> In revision
Title 3:
UAV-assisted Real-time Data Processing using Deep Q-Network for Industrial Internet of Things(ICAIIC) (S)
Title 4: Real-time Traffic Prediction using Sparse Automatic Vehicle for MEC-aided Road Infrastructure(Winter Intensive, Target Journal: IEEE Communication Letters)
Title 2:
Revised the related work.
Added simulation results, which are accuracy and delay time of TLCS.
Added sentences that the result can be used in the real environment.
Title 4:
- Connected the SUMO simulator to the database using a JAVA platform.
- Made a simulation scenario.
-Finalized the system model and proposed system.
Title 2:
Reduce the explanation of the traffic light system.
Add more explanation of traffic light system optimization using deep reinforcement learning.
Check and correct the whole section before submitting it.
Submit the paper.
Title 4:
- Figure out the accuracy of prediction and latency of connected vehicle and edge node.
- Evaluate those figures and write the conclusions.
Project 1: 3D printing, Project 2: Website management
Project 1:
implemented the OPC UA between client and server.
Project 2:
Added some contents of the international conference on the new website.
Project 3:
Learn the OMNET++.
Learn the Edgesimulator that based on OMNET++ model.
Project 1:
Research about other OPC UA that compatible to the 3D printing.
Project 3:
Learn the OMNET++.
Learn the Edgesimulator that based on OMNET++ model.
Make and Simulate the road network using SUMO that integrated with OMNET++.
-Able to write at least one in a domestic conference.
-Able to write at least one in international conference and journal.