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
- Target: IEEE Transaction on Industrial Electronics

Title 4: 5G Wireless 3D Printer Monitoring
- KICS Fall

Last Week's Progress

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

[3]
- Trained the current data
- Labeled the collected dataset
- Worked on the paper

This Week Todo's

[1]
- Continue writing paper
- Re-simulate for conversion

[3]
- Continue writing the paper
- Simulate
- Work on the edge detection

Project Progress

3D Monitoring

Last Week's Project

1. Labeled dataset
2. Gathered dataset
3. Meeting with the company
4. Team meeting

This Week's Project

1. Gather dataset
2. Label and train dataset
3. Continue writing the domestic paper

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)