현대전쟁 교훈에 기반한 수중드론(UUV) 미래기술 동향 분석

양건모¹ ; 양성실²^{, *}

1해군 중령/해군대학 해양작전학처 해군작전기획교관
2국립한국해양대학교 해양군사대학 교수

Analysis of Future Technology Trends in UUVs Based on Lessons Learned from Modern Warfare

Geon-Mo Yang¹ ; Seong-Sil Yang²^{, *}

1CDR, ROK Navy/Instructor, Department of Maritime Operations, ROK Naval War College
2Professor, College of Maritime Military, Korea Marine & Ocean University

Correspondence to: *Seong-Sil Yang 727 Taejong-ro, Yeongdo-gu, Busan 49112, Republic of Korea Tel: +82-51-410-5360 Fax: +82-504-296-6515 E-mail: siri0191@kmou.ac.kr

초록

최근 현대전쟁에서 수중드론이 본격적으로 활용되고 있다. 이에 따라 본 연구에서는 관련 첨단 기술의 지표인 특허기술 데이터를 KIPRIS에서 확보하여 분석하였다. 특히 데이터 분석을 위해 인공지능 머신러닝 기법 중 자연어처리에 강점을 보이는 LDA 토픽모델링과 데이터 규칙을 예측하고자 선형회귀분석으로 미래기술 동향에 관한 분석을 진행하였다. 그 결과 한국 해군에서 활용될 수 있는 기술분석 결과와 발전 방안을 제시한다.

Abstract

In recent years, unmanned underwater vehicles have been actively utilized in modern warfare. Accordingly, this study analyzes patent technology data—a key indicator of emerging technological trends—obtained from KIPRIS. To analyze the data, LDA topic modeling—a natural language processing method in machine learning—and linear regression analysis were conducted to identify patterns and forecast future technology trends. Based on these analyses, this study presents technical results and development strategies for the ROK Navy.

Keywords:

Unmanned Underwater Vehicles, Lessons Learned, LDA Topic Modeling, Patent Analysis, Linear Regression

키워드:

수중드론, 전쟁교훈, LDA 토픽모델링, 특허기술분석, 선형회귀분석

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