Report

Riesa

January 6, 2020 - January 12, 2020

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

Title 3:
UAV-assisted Real-time Data Processing using Deep Q-Network for Industrial Internet of Things(ICAIIC) (S)

Title 4: Real-time Prediction-aided Mobile Crowdsensing in Road Network (Winter Intensive)

30% Progress
Last Week's Progress

Title 2:
Added three references related with edge computing which are recommendation from reviewer 5.
Checked and revised the completeness some references.
Added the validation or prove of technically in TLCS using edge computing can reduce the communication latency and computation process.
revised the some variable which not italic.
Made clear the contributions and novelties as points to make clear what is the contribution and novelties.


Title 3:
Revised the paper based on review comments.

Title 4:
Read paper of "An infrastructure-assited crowdsensing approach for on-demand traffic condition estimation".

This Week Todo's

Title 2:
Reduce the explanation of traffic light system.
Add more explanation of traffic light system optimization using deep reinforcement learning.
Add more graphics of accuracy and delay time.

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

Title 4:
Learn about mobile crowdsensing which can enhance the road network to predict road condition in real-time.

Project Progress

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

15% Progress
Last Week's Project

Project 1:
Read and Summarized the user manual of LM build processor for metal 3D printing.
Write the introduction of the 3D printing paper.

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

This Week's Project

Project 1:
Continue to summarize the user manual of LM build processor for metal 3D printing.
Check and correct the introduction part.

Monthly Goals

Azure edge node with machine learning.

Annual Goals

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