Papers

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 (Target journal: ELSEVIER Computer and Electricals Engineering)

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)

Last Week's Progress

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 3:
Apply for VISA.

Title 4:
Learned how to determine the boundary of three traffic conditions with parameter metric "the vehicle of the change at each time step".
Revised the figure that shows the different proposed systems with other schemes.

This Week Todo's

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:
-Try to connect the SUMO simulator to the database using a JAVA platform.
-Make a simulation scenario.
-Finalize the system model and proposed system.

Project Progress

Project 1: 3D printing, Project 2: Website management, Project 3: Edge Computing

Last Week's Project

Project 1:
Read and summarized the OPC UA (United architecture) protocol used in the industrial environment.


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.

This Week's Project

Project 1:
Survey the used OPC UA (United architecture) protocol and how can OPC UA can be used for this project (server and client application).

Project 3:
Learn the OMNET++.
Learn the Edgesimulator that based on OMNET++ model.

Monthly Goals

Make and Simulate the road network using SUMO that integrated with OMNET++.

Annual Goals

-Able to write at least one in a domestic conference.
-Able to write at least one in international conference and journal.