Yoochan Moon

According to our database, Yoochan Moon authored at least 5 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

Hybrid approach for comprehensive recognition of line objects contained in high-density piping and instrumentation diagrams using deep learning and rules.

Yoochan Moon, Seung-Tae Han, Ji-Beob Kim, Choongsub Yeom, Duhwan Mun

Comput. Chem. Eng., 2026

2025

Graph neural network-based method for classifying continuous lines in piping and instrumentation diagram.

Seung-Tae Han, Yoochan Moon, Ji-Beob Kim, Hyunsik Lee, Duhwan Mun

Adv. Eng. Informatics, 2025

2024

Rule-based continuous line classification using shape and positional relationships between objects in piping and instrumentation diagram.

Seung-Tae Han, Yoochan Moon, Hyunsik Lee, Duhwan Mun

Expert Syst. Appl., 2024

2022

End-to-end digitization of image format piping and instrumentation diagrams at an industrially applicable level.

Byungchul Kim, Hyungki Kim, Yoochan Moon, Gwang Lee, Duhwan Mun

J. Comput. Des. Eng., 2022

2021

Deep-learning-based recognition of symbols and texts at an industrially applicable level from images of high-density piping and instrumentation diagrams.

Hyungki Kim, Wonyong Lee, Mijoo Kim, Yoochan Moon, Taekyong Lee, Mincheol Cho, Duhwan Mun

Expert Syst. Appl., 2021