전장에서의 자동 표적추천 및 효율적 교전전략 생성 알고리즘 = Automatic Target Recommendation and Efficient Counter-Attack Strategy Generation Algorithm in a War Field

국문 초록 (Abstract)

전장에서 적 부대의 위협 정도를 평가하고 분석하여 아군의 부대를 할당하는 기술은 중요한 요소이다. 그러나 전장에서의 모든 불확실성을 제거하지 않는 이상 적 개별부대의 위협도를 정확히 측정하는 것은 어려운 문제이다. 본 논문에서는 전장의 모든 노드들과 지원 관계를 네트워크로 재해석하고 이분 그래프를 활용하여 개별 부대의 위협도를 평가한다. 이를 바탕으로, 새로운 War-field Centric Hyperlink-Induced Topic Search (WC HITS) 알고리즘을 제안한다. 또한 WC HITS 알고리즘을 구현하기 위한 전력 강화 함수(power reinforce function), 대응 전력 선정 알고리즘(counter-force recommending algorithm) 및 전력 손실 함수(power loss function)등을 최초로 제안한다. 시뮬레이션을 통해 WC HITS 알고리즘이 효율적 교전전략으로 매우 적합함을 증명하였다.

다국어 초록 (Multilingual Abstract)

Assigning counter-attack against enemy attack is an important task in a war field after analyzing the level of enemy threats. However, it is very difficult for friendly attack to evaluate the level of threat for each individual enemy due to all uncertainty in the war field. In this paper, we evaluate the level of threat for the enemy attack by modeling an actual war filed as a network view with a bipartite graph theory. Based on that, we newly propose an efficient strategy algorithm, named War-field Centric Hyperlink-Induced Topic Search (WC HITS). We also firstly introduce a reinforce function, a counter-force recommending algorithm and a power loss function to realize the WC HITS. After the simulations, we verified that the WC HITS can be an efficient counter-attack strategy.

목차 (Table of Contents)

• 요약
• Abstract
• 1. 서론
• 2. 전장환경 모델링
• 3. 최종 전력 레벨 측정(예: 적군 그래프 측면에서)
• 4. 실험 및 평가
• 5. 결론
• References

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