• Journal of Internet Computing and Services
• /
• v.21 no.1
• /
• pp.237-246
• /
• 2020

this paper, a data modeling method based on decision-making conditions is proposed for making combat and battlefield management systems to be intelligent, which are also a decision-making support system. A picture of a robot seeing and perceiving like humans and arriving a point it wanted can be understood and be felt in body. However, we can't find an example of implementing a decision-making which is the most important element in human cognitive action. Although the agent arrives at a designated office instead of human, it doesn't support a decision of whether raising the market price is appropriate or doing a counter-attack is smart. After we reviewed a current situation and problem in control & command of military, in order to collect a big data for making a machine staff's advice to be possible, we propose a data modeling prototype based on decision-making conditions as a method to change a current control & command system. In addition, a decision-making tree method is applied as an example of the decision making that the reformed control & command system equipped with the proposed data modeling will do. This paper can contribute in giving us an insight of how a future AI decision-making staff approaches to us.

• Journal of the Korea Institute of Military Science and Technology
• /
• v.23 no.6
• /
• pp.650-658
• /
• 2020

The research of the AI-based command decision support system was insufficient both quantitatively and qualitatively. In particular, in Korea, there was no research on concrete concept design at the current concept research level. This paper proposed the conceptual design of a tactical echelon command decision support system based on artificial intelligence(AI) according to the current army's doctrine of the operation process. The suggested conceptual design clarified the problem and proposed an appropriate process for design, and applied the function analysis method among rational techniques that enable conceptual design systematically.

• The Korean Publising Journal, Monthly
• /
• s.171
• /
• pp.2-3
• /
• 1995

요즘 세대들이 읽기 쉽게 우리 고전들을 꾸준히 번역하고 있는 허경진 교수의 최근 출간서들로, 산뜻한 우리말로 접할 수 있는 선조들의 명저목록은 더욱 풍요로워진 셈이다. '고전번역'을 평생의 업으로 결심한 허교수는 우선 고전의 번역을 장려하는 사회분위기가 필요함을 강조한다.

• Journal of the Korea Institute of Military Science and Technology
• /
• v.25 no.5
• /
• pp.501-512
• /
• 2022

The purpose of the weapon live test during the phase of development is to provide essential information to decision makers that verify and validate the performance capabilities of weapons. Due to varying allocation and high variance of test resources with an increase in the weapon system's capability, the test environment can get highly complex, which can lead to a decrease in the reliability of test results. This issue can be addressed by applying a decision support system that provides various timely information collected by resources during the test process. The decision support system can be designed by applying the concept of digital twins, that are defined as digital replicas of components, systems and processes. This paper describes a design methodology of the decision support system that consists of digital models and service functions using digital twin architecture. A case study illustrates the feasibility of the proposed methodology in supporting the weapon live test process.

• Proceedings of the Korea Contents Association Conference
• /
• 2014.11a
• /
• pp.471-472
• /
• 2014

무기-표적할당(Weapon-Target Allocation: WTA)은 방어 무기체계의 신속하고 정확한 교전결심을 지원하기 위한 핵심적인 기술로서, 다수의 표적이 아군을 위협하는 상황에서 다수의 표적을 효과적으로 요격할 수 있도록 제한적인 무기자산을 효율적으로 할당하는 최적의 해를 찾는 문제이다. 최적의 해에 대한 평가 기준은 무기-표적 쌍들에 대한 요격확률의 합으로 계산된다. 요격확률은 무기가 표적을 요격하는 시점에 따라서 달라지므로, 정밀한 교전결심을 위해서는 요격 시점을 고려하여 무기를 할당하는 것이 중요하다. 특히나 초고속표적을 대응할 때는 표적의 속도가 매우 빨라 요격할 수 있는 시간이 매우 짧기 때문에 더욱 중요하다. 이러한 요구사항에도 불구하고 기존 연구에서는 요격 시점을 고려한 무기할당에 대한 연구가 미진하였다. 본 논문에서는 요격 시점을 고려한 무기할당 알고리즘을 제안하고자 하며 알고리즘에 대한 성능으로 표적에 대한 요격률뿐만 아니라, 표적 출현부터 요격까지의 소요시간인 교전반응시간을 분석하여 신속대응에 대한 성능도 함께 제시한다.

• Journal of the Korea Institute of Military Science and Technology
• /
• v.20 no.4
• /
• pp.551-557
• /
• 2017

Commanders want to receive quickly scientific and analytic results about the battlefield situation. Unfortunately, decision support system of Army Tactical Command Information System(ATCIS) is restricted to message procedures and searching function based on manual work. In this paper, we propose applying Data Mining to ATCIS for supporting rapid decision making based on the scientific and analytic method. The purpose of this proposal is to efficiently execute the tactical planning and employment of the subordinate units in order to achieve the mission.

• Journal of the Korea Society for Simulation
• /
• v.30 no.3
• /
• pp.1-9
• /
• 2021

Commander and staffs on the battlefield are aware of the situation and, based on the results, they perform military activities through their military decisions. Recently, with the development of information technology, the demand for artificial intelligence to support military decisions has increased. It is essential to identify, collect, and pre-process the data set for reinforcement learning to utilize artificial intelligence. However, data on enemies lacking in terms of accuracy, timeliness, and abundance is not suitable for use as AI learning data, so a training model is needed to collect AI learning data. In this paper, a methodology for learning artificial intelligence was presented using the constructive wargame model exercise data. First, the role and scope of artificial intelligence to support the commander and staff in the military decision-making process were specified, and to train artificial intelligence according to the role, learning data was identified in the Chang-Jo 21 model exercise data and the learning results were simulated. The simulation data set was created as imaginary sample data, and the doctrine of ROK Army, which is restricted to disclosure, was utilized with US Army's doctrine that can be collected on the Internet.

• The Inventors News
• /
• no.56
• /
• pp.1-16
• /
• 2007

쉼없는 '혁신'으로 여성발명 만개하리라/발행인 칼럼/산업재산진흥팀장에 박주익 서기관 부임/강원도 등 9개 지자체 특허컨설팅 시행/'여성기업지원에 관한 법률' 개정안 발의/특허청, 2007년 발명평가사업 시행/여성은 성장동력이자 미래 주역/"여성특허기업 안정적 성장 할 수 있도록 지원책 마련"/가계제언/여성경제인 배출 및 지원 위한 기본 틀 확립/정부지원책 철저 검토한 수 정면돌파/자금지원 세세하게 살피면 가능성 생긴다/"황금돼지해 유아 브랜드 상표 봇물"/국내기업 특허유지비용 70% 출연료로 사용/습윤 드레싱재 관련 특허출원 증가/"특허권 유지.관리 쉬워진다"/특허청, 국유특허권수입으로 6억4천 벌어/새해 금연결심, 휴대폰이 지켜드립니다/역사 속의 발명품/하루 10분 발명교실/특허Q&A/이봉화 서울시 여성가족정책관/특허심판, '6개월'이내 종결/아이디어 착상 및 발명 기법/21 세기 특허경영 기업의 미래를 바꾼다/벤딩과 베스트의 인슐린/헬리콥터 특허 국산화율 높아져/'특허관리어드바이저' 대학 지식재산 활성화/UCC 특허출원 최근 2년간 대폭 증가/웰빙시대 여파 진공포장 출원도 '웰빙'/지식재산 교육시스템 동유럽까지 전파/승강기 안전사고 방지 특허 인기/한국여성발명협회 회원사 발명품 가이드/

• Journal of the Korea Society for Simulation
• /
• v.23 no.2
• /
• pp.47-55
• /
• 2014

Most combat simulation models, including Korean Army's combat models for simulation analysis, have too much limitations to be used for analysis of complex combats like joint combat fires. We analyze requirements for modeling and simulation of Fire-Eagle, which is a joint combat fire model of ground combat fires and army aviation. We then propose a simulation model for Fire Eagle and derive operational strategies for improving the joint combat fire. To do these, we analyze effectiveness of specific operational plans and scenarios by using the simulation model. We demonstrate ways of developing efficient and effective operational plans from the simulation experimental results.

• Journal of the Korea Society of Computer and Information
• /
• v.18 no.3
• /
• pp.79-89
• /
• 2013

ATCIS (Army Tactical Command Information System) provides commanders and staff officers the battlefield information that is reported by tactical echelons under an army corps and the commanders make decisions based on the information by using their experience and specialty in military domain. If ATICS can automatically understand the reported information from rapidly changing battlefield and provide new knowledge that can support decision making, the commanders would be able to make faster and more accurate decision. In this paper, therefore, we propose an intelligent ATCIS using a national defense ontology. To this end, we built the national defense ontology by analyzing the electronic field manuals and ATCIS database, and then we defined military knowledge for decision making as a form of rule by interviewing several staff officers from different fields. In order to show how to apply the ontology and rules to decision making support for the commanders, we implemented a decision support service to estimate the possibility of enemy's provocation by using semantic web technologies.