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인공지능에 기반한 지능형 지휘통체체계는 복잡하고 방대한 전장정보와 전술 데이터들을 학습모델을 통해 자동으로 융합 및 추출하여 전장상황을 분석한다. 지휘관은 지능형 지휘통제체계의 상황분석 결과를 제공받아 전장인식이 가능하여 의사결정을 지원할 수 있다. 의사결정지원에 특화된 결과를 지휘관에게 제공하기 위해서는 인공지능을 학습하기 위한 실 전장상황과 유사한 전장상황분석 데이터셋 생성이 필요하다. 본 논문은 기존 선행연구인 ‘인공지능 기반 전장상황분석을 위한 가상 전장상황 데이터 셋 생성 연구’의 다음 단계의 데이터셋 구축 방법 연구로 지휘관의 의사결정지원 및 미래 전장인식을 위해 최종적인 전장 상황분석 결과에 필요한 데이터셋을 생성하는 방안에 대해 제안하였다. 전장상황 분석용 학습 데이터셋 생성도구 SW를 설계 및 구현하였고, 구현한 SW를 이용하여 데이터 레이블 작업을 진행하였다. Siamese Network 학습모델을 이용하여 구축한 데이터셋을 입력하고, 후처리 알고리즘을 활용한 출력 결과를 도출하여 생성한 데이터셋을 검증하였다.

The AI based intelligent command and control system can automatically analyzes the properties of intricate battlefield information and tactical data. In addition, commanders can receive situation analysis results and battlefield awareness through the system to support decision-making. It is necessary to build a battlefield situation analysis dataset similar to the actual battlefield situation for learning AI in order to provide decision-making support to commanders. In this paper, we explain the next step of the dataset construction method of the existing previous research, ‘A Virtual Battlefield Situation Dataset Generation for Battlefield Analysis based on Artificial Intelligence’. We proposed a method to build the dataset required for the final battlefield situation analysis results to support the commander's decision-making and recognize the future battlefield. We developed ‘Dataset Generator SW’, a software tool to build a learning dataset for battlefield situation analysis, and used the SW tool to perform data labeling. The constructed dataset was input into the Siamese Network model. Then, the output results were inferred to verify the dataset construction method using a post-processing ranking algorithm.

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기사명 저자명 페이지 원문 목차
Development of smart car intelligent wheel hub bearing embedded system using predictive diagnosis algorithm Sam-Taek Kim p. 1-8

(A) taekwondo poomsae movement classification model learned under various conditions Ju-Yeon Kim, Kyu-Cheol Cho p. 9-16

(A) lightweight deep learning model for text detection in fashion design sketch images for digital transformation Ju-Seok Shin, Hyun-Woo Kang p. 17-25

Establishment of a deep learning-based defect classification system for optimizing textile manufacturing equipment YuLim Kim, Jaeil Kim p. 27-35

(A) study on construction method of AI based situation analysis dataset for battlefield awareness Yukyung Shin, Soyeon Jin, Jongchul Ahn p. 37-53

Analysis of trends in deep learning and reinforcement learning Dong-In Choi, Chungsoo Lim p. 55-65

Detecting adversarial examples using edge-based classification Jaesung Shim, Kyuri Jo p. 67-76

Representation of curl exaggeration, cohesion, adhesion and stiffness in wet curly hair Jong-Hyun Kim p. 77-84

Reproducing summarized video contents based on camera framing and focus Hyung Lee, E-Jung Choi p. 85-92

User authentication protocol preserving enhanced anonymity and untraceability for TMIS Mi-Og Park p. 93-101

Walking path design considering with slope for mountain terrain open space Seul-ki Kang, Ju-won Lee p. 103-111

(The) development of herbal medicine network analysis system Ho Jang p. 113-121

Implementation of Git's commit message classification model using GPT-linked source change data Ji-Hoon Choi, Jae-Woong Kim, Seong-Hyun Park p. 123-132

Adverse effects on EEGs and bio-signals coupling on improving machine learning-based classification performances SuJin Bak p. 133-153

(The) implementation of a lift emergency video call system based on WebRTC using OpenAPI Woon-Yong Kim p. 155-161

Jaccard index reflecting time-context for user-based collaborative filtering Soojung Lee p. 163-170

Implementation of smart automatic warehouse to improve space utilization Hwa-La Hur, Yeon-Ho Kuk, Myeong-Chul Park p. 171-178

Factors affecting college students' teeth whitening preference Seon-Rye Kim p. 179-186

(The) influence of professional identity, role conflict, and job stress on job satisfaction of nurses in the general hospital wards Su-Kyung Kim, Sun-Yeun Hong p. 187-195

Structural equation model analysis of communication ability by Havruta teaching-learning method Jae-Nam Kim, Seong-Eun Chu p. 197-205

(A) study on the systematic cause analysis of shipboard fire accident case using STAMP methodology JeongMin Kim, HyeRi Park p. 207-215

(An) exploratory study on the hierarchical model of consumer orientation Seungbae Park, Jaewon Hong p. 217-227

Algorithmic price discrimination and negative word-of-mouth : the chain mediating role of deliberate attribution and negative emotion Wei-Jia Li, Yue-Jun Wang, Zi-Yang Liu p. 229-239

(A) study on the employment predictive factors of young university graduates Jun-Su Kim, Woo-Hong Cho p. 241-246

(A) study on the efficiency of day care facilities for the elderly in 22 cities and counties in Jeonnam Seong-Bae Jeong, Yeon-Ju Lee p. 247-256

Media big data analysis on technology trends to prevent wandering and missing of dementia patients in the community Jung Won Kong p. 257-266

Analysis of the prediction of operation processes based on mode of operation for ships : applying Delphi method HyeRi Park, JeongMin Kim p. 267-275

(A) study on consumers' continuance intention in live streaming e-commerce shopping Yongfeng Hu, Chi Gong p. 277-289

(A) study on the development of customized video contents for early childhood education by pre-early childhood teachers Yan Ha p. 291-300

(A) study on changes in achievement goals according to course classification in a liberal arts software education Seung-Hun Shin, Joo-Young Seo p. 301-311

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