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 for MEC-aided Road Infrastructure (Winter Intensive)

Last Week's Progress

Title 2:
Checked and revised the completeness of some references.
Added the validation or prove of technically in TLCS using edge computing can reduce the communication latency and computation process.
Made clear the contributions and novelties as points to make clear what is the contribution and novelties.
Added simulation results, which are accuracy and delay time of TLCS.


Title 3:
Revise the paper based on review comments.
Registration.

Title 4:
Read the paper of "Quality time-aware for MEC-enhanced Crowdsensing Approach".
Added system model and algorithm design of edge computing aided traffic prediction based on sensing data from vehicle.

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 3:
Prepare documents for VISA.

Title 4:
-Learn how to determine the boundary of three traffic conditions with parameter metric "the vehicle of the change at each time step".
-Try to connect the SUMO simulator to the database using a JAVA platform.

Project Progress

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

Last Week's Project

Project 1:
Read and Summarized the user manual of LM build processor for metal 3D printing (RTC 4)


Project 2:
Added some contents of the international conference on the new website.

Project 3:
Read paper of Quality time-aware for MEC-enhanced Crowdsensing Approach

This Week's Project

Project 1:
Continue to summarize another section of RTC 4.
Learn more about slicing software and how to connect software and hardware.

Project 3:
Learn Azure Edge IoT work.

Monthly Goals

Learn Azure Edge IoT work in the JAVA platform.
Java application WEB.

Annual Goals

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