Report

Riesa

December 3, 2019 - December 9, 2019

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
(Target Journal: ELSEVIER Future Generation Computer Systems) (S) (Rejected)

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

30% Progress
Last Week's Progress

Title 1:
Learn some new schemes of fault node detection for IIoT.

Title 2:
Tried to understand the emergency vehicle at the density road using camera.


Title 3:
Checked and Revised the introduction, system overview, and UAV-based deep Q-learning.
Added 3-4 references, wrote the result and conclusion.
Added deep Q-network approach which applied in UAV.
Submitted to ICAIIC 2020.

This Week Todo's

Title 1:
Learn some new schemes of fault node detection for IIoT.

Title 2:
Try to enhance the detection and prediction of scenarios that frequently occur at the intersection into simulation code.


Title 3:
Read references that discuss about industrial internet of things which cloudlet provide service to the machine, and machine to machine communication.

Project Progress

Project 1: 3D printing, Project 2: Website management, Project 3: UAV routing protocol (testbed)

15% Progress
Last Week's Project

Project 1:
Illustrated the hardware and software design for controlling the motor of 3D printer.

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

project 3:
Searched about how to control and develop the PIXHAWK controller of UAV.

This Week's Project

Project 1:
Survey the slicing process and connection between software and hardware for controlling motor.

Project 3:
Survey a Odroid controller which more powerful than raspberry pi and also the protocol communication (MAVLINK).

Monthly Goals

Learn the edge technologies: Kubernetes. (How to integrated 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