Earticle

초록

영어

This study focuses on enhancing the diagnostic capabilities of junior fire investigators through the optimization of AI microscope measurement methods for identifying wire arc melting marks. A total of 33 wire samples collected from actual fire scenes were analyzed using three distinct imaging scenarios (S1, S2, and S3) to evaluate the most reliable method. The S1 scenario, which involved capturing the wire’s side with the widest distribution of melting marks, achieved the highest concordance rate of 90.9% with metallographic analysis. In contrast, S2 and S3 scenarios recorded lower concordance rates of 51.5% and 39.4%, respectively. Statistical analysis using ANOVA revealed significant differences among the methods (F = 9.80, p < 0.00014), with post-hoc tests confirming the superior accuracy of the S1 approach. These findings suggest that AI microscopes can effectively support junior fire investigators by improving diagnostic accuracy and reducing reliance on subjective judgment.

목차

Abstract
1. 서론
1.1 연구 배경
1.2 연구의 필요성
2. 본론
2.1 이론적 배경
2.2 실증 분석
3. 결론
참고문헌

키워드

저자

• 최복무 [ Bok Moo Choi | 전북소방본부 ]
• 홍순문 [ Sun Mun Hong | 군산소방서 ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  한국화재감식학회 학회지 [Magazine of Fire Investigation Socity of Korea]

• 간기

  계간

• pISSN

  2092-531X

• 수록기간

  2009~2026

• 등재여부

  KCI 등재

• 십진분류

  KDC 539 DDC 628