Papers

Title 1: Deep learning-based 3D printer fault detection
- Submitted (ICUFN 2021 - Accepted)
- Target Paper: ICT Express

Title 2: An inference time-efficient 3D printer fault detection using CNN
- Submitted (KICS 2021 - Accepted)

Title 3: Edge AI-based 3D Printer Monitoring and Fault Prediction
- Summer Intensive 2021

Last Week's Progress

[3]
- Gathered dataset
- Simulation
- Work with related works

This Week Todo's

[1]
- Work on the paper
- Gathered related works
- Re-simulate

[3]
- Train the current data
- Label the collected dataset
- Continue writing paper

Project Progress

3D Monitoring

Last Week's Project

1. Captured dataset
2. Label dataset

This Week's Project

1. Label dataset
2. Train collected data
3. Collect dataset

Monthly Goals

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

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

3. Summer Intensive 2021
- Label dataset (image-based)
- Train data
- Finish my paper

Annual Goals

1. Publish two or three conference papers (Domestic and International)
- KICS Summer 2021 (done)
- ICUFN 2021 (done)

2. Publish at least one International Journal
- ICUFN 2021 Paper (Pr)
- Summer Intensive 2021 (Pr)