Papers

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

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

[1] ICUFN 2021
- Presented through online

[3] Summer Intensive
- Labeled dataset
- Methodology

This Week Todo's

[1] ICUFN 2021
- Upgrade paper to submit in ICT Express

[3] Summer Intensive
- Simulation
- Continue writing the paper

Project Progress

3D Monitoring Project

Last Week's Project

1. Gathered dataset
2. Start to simulate the data

This Week's Project

1. Train the dataset we gathered
2. Simulation

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
- Finish collecting dataset (image-based)
- 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
- Summer Intensive 2021