Papers

Paper titles:
Title 1: Deep learning-based 3D printer fault detection
- Submitted to ICUFN

Title 2: An inference time-efficient 3D printer fault detection using CNN
- Submitted to KICS

Title 3: Deep learning-based fault prediction
- Journal Paper

Title 4: Dataset Anomalies

Last Week's Progress

Title 1:
- submitted to ICUFN
- waiting for the result (July 15)

Title 2:
- create a presentation for KICS Summer 2021 (Jeju Conference)
- present KICS Summer

This Week Todo's

Title 1:
- waiting for the result (July 15)
- try to improve the paper

Title 2:
- create a presentation for KICS Summer 2021 (Jeju Conference)
- present KICS Summer

Title 3:
- survey related paper
- continue writing

Title 4:
- read related works

Project Progress

3D Monitoring Project

Last Week's Project

1. Meeting with the company (Conception)
2. Searched and study with the 3D controller

This Week's Project

1. Watch online 3D controller
2. Meeting with the company (Conception)
3. Collect dataset

Monthly Goals

1. Search and review related papers
- Python and LabView/MatLab integration
- Controlling the 3D printer
- Machine learning with the 3D printer
- Fault detection and prediction in general
- Raspberry Pi (Data collection)

2. Learn more about machine learning and deep learning with Python
- Study for online tutorials
- Read articles
- Re-simulate what I learn

3. Journal paper
- Search and review related works
- Compare conventional and machine learning methods

Annual Goals

1. Publish two or three conference paper (Domestic and International)
- KICS Summer (done)
2. Publish at least one International Journal