드론봇 전투체계의 전투효과 측정에 관한 연구 : 란체스터 법칙을 활용하여

엄홍섭(Eom, Hong-seob) 한국전략문제연구소 2021 전략연구 Vol.28 No.1

본 연구의 목적은 란체스터 법칙을 활용하여 드론봇 전투체계의 전투효과를 분석하는 것이다. 이를 위하여 드론봇 전투체계의 비전과 운용개념을 확인하였고, 란체스터 법칙의 개념과 활용성을 선행 연구하였다. 그리고 지상 드론봇 전투체계의 전투효과는 국방 M&S 모델을 활용하여 평가하였고, 공중 드론봇 전투체계의 전투효과는 란체스터 법칙을 활용하여 산출하였다. 분석결과, 전투력과 연계된 상대적 전투력을 비교함으로서 국방개혁 2.0의 정책적 시사점을 확인할 수 있었으며, 지상 드론봇 전투체계의 전투효과 및 전투시간과 연계된 공중 드론봇 전투체계의 전투력 함수를 도출할 수 있었다. 본 연구의 결과와 모델을 바탕으로 미래의 드론봇 전투체계에 대한 효과분석을 통하여 소요기획 및 운용개념을 설계하는데 도움이 될 뿐 아니라 비용 대 효과분석을 통한 효율적인 국방획득계획 수립에도 활용이 가능할 것이다. The purpose of this study is to analyze the combat effectiveness of dronebot combat system using the Lanchester’s Law. To this end, the vision and the operational concept of the dronebot combat system were identified, and the concept and utility of Lanchester"s law were analyzed. Subsequently, the ground combat robot effectiveness of the dronebot system was evaluated using the Defense M&S model, and the combat effectiveness of the aerial dronebot system was calculated using the Lanchester’s law. As a result, we could compare the relative combat power linking the combat power and combat effectiveness of the ground dronebot combat system, and the combat power function for the aerial dronebot could be derived in conjunction with the combat time. By applying the results of this study, it is possible not only to help design the planning and operation concept by calculating the effectiveness on dronebot operation in the future, but also to use it for efficient requirements planning through the cost-effectiveness analysis.

전투실험을 통한 전투로봇 설계방법에 관한 연구: 로봇생태계 이론을 중심으로

엄홍섭 ( Eom Hong-seob ),김진오 ( Kim Jin-oh ) 국방대학교 안보문제연구소 2016 국방연구 Vol.59 No.4

이 논문의 목적은 전투실험을 통한 전투로봇의 설계방법을 로봇생태계 이론을 중심으로 제시하는데 있다. 일반적인 로봇설계는 로봇생태계(로봇, 로봇시스템, 인간-로봇시스템, 인간-로봇사회)를 고려하여 단계적으로 이루어지지만 전투로봇은 다양한 변화요인과 복잡한 상황 등으로 인하여 다른 방법이 필요하다. 따라서 로봇생태계 단계를 고려하는 전형적인 로봇디자인 방법보다는 군의 특성을 고려하여 모든 변수를 한꺼번에 해결할 수 있는 방법을 연구하였다. 이를 위해서 전투효과 척도를 정의하였고 시스템적 방법을 적용하였다. 전투실험을 진행하기 위해 구속조건을 모두 반영한 로봇시제를 설계하였고, 설계한 로봇시제를 활용하여 로봇소대 편성과 운용방안을 검증함으로써 전투로봇 설계에 필요한 제반 변수를 해결할 수 있었다. 본 연구에서 제안된 방법을 활용하여 향후 로봇을 포함한 무기체계의 소요기획 및 전투발전체계를 발전시키는데 폭넓은 활용이 가능할 것이다. This paper reveals effective design methodology of combat robot based on robot-ecosystem theory. This thesis shows the way to solve whole variables simultaneously, not solve the robot, robot system and human-robot system in phases. Generally, the robot design is processing gradually in view of robot ecosystem(robot, robot system and human-robot system). The more effective ways for defense robot design, however, are required due to the various changing factors and complicated situations in battle field. Therefore, this thesis defines the combat effectiveness(solution) as designing new solutions based on analysis of current tasks, and suggests the robotizations as considering of the robot ecosystem in order to conduct the combat experimentation. This paper also includes all constraints and feasible alternatives, which are derived in the process of designing the robot. Measurements and procedures are defined and an infantry platoon, blending both human and combat robots designed as measuring the combat effectiveness by combat experimentation. For combat experimentation, robot prototypes reflecting entire constraints are designed. we can solve whole required variables to design robot, robot system and human-robot system, as verifying how to organize and operate the robot-human blended infantry platoon by using designed robot prototypes. The proposed ways for this thesis can be widely used for future weapon requirement programs and robot system advancements.

국방획득체계에서의 기업과 정부의 전략 분석 : 시그날링 모델(Signaling Model)을 활용하여

엄홍섭(Eom, Hong-seob) 한국전략문제연구소 2019 전략연구 Vol.26 No.3

본 연구의 목적은 게임이론의 시그날링 모델(Signaling Model)을 활용하여 국방획득체계의 효율성을 분석하는데 있다. 이를 위하여 국방획득체계와 방위산업의 특성을 고찰한 뒤 방위산업의 환경과 연계한 시그날링 모델을 설정하였다. 이 모델을 활용하여 국방획득체계의 효율성을 분석한 결과 기업과 정부의 균형 전략을 도출할 수 있었고, 방산 기업의 연구개발 활성화와 생산 효율성 향상에 필요한 유인체계를 구상할 수 있었다. 본 연구결과를 기초로 향후 방위산업의 연구개발 활성화와 국방획득시스템의 효율성을 향상시키기 위한 정책적 적용이 가능할 것이다. The purpose of this study is to analyze the efficiency of the defense acquisition system using the signaling model of game theory. For this purpose, the defense acquisition system and characteristics of the defense industry were examined and a signaling model linked to the environment of the defense industry was set up. As a result of analyzing the efficiency of the defense acquisition system using this model, it was able to come up with an equilibrium strategy of the firm and the government, and the incentive system needed to revitalize R & D and productivity efficiency of the defense company. Based on this results, it will be possible to establish the policies to enhance defense industry"s R & D and defense acquisition system efficiency.

접적지역 대피소 방호수준 설정에 관한 연구

박영준,박상진,엄홍섭,손기영,Park, Young Jun,Park, Sangjin,Eom, Hong Seob,Son, Kiyoung 한국군사과학기술학회 2015 한국군사과학기술학회지 Vol.18 No.4

Protection against direct projectiles has been adapted just to the main command posts in the existing protective facility standards. However, protective capacity for the shelters against direct projectiles is also required because the initial survivability as well as the operation sustainment of the shelters is critical during a couple of days from outbreak of war. In this study, the Russian artillery is used to determine the existing and future threat of the North Korean Armed Forces indirectly. And then, required protective capacity of military shelters in the contact areas is calculated along with UFC 3-340-02 and it is verified using modeling and simulation. Based on the assessed capacity, actual inspect of military facilities with contact areas on spot is performed whether military shelters have enough protection capacity against determined threats. According to the field study, it is verified that proper earth bermed shelter has enough protection capacity. The results in this study could be used how to retrofit the current shelters in the contact areas.

수직벽을 주행하는 차륜형 이동로보트의 방향각 추정 방법

이재철(Jae Cheol Lee),김고려(Ko Ryo Kim),엄홍섭(Heung Sup Eom),김재희(Jae Hee Kim) 제어로봇시스템학회 1995 제어로봇시스템학회 국내학술대회 논문집 Vol.1 No.2

마이크로컴퓨터를 이용한 실시간 방사선 감시계통

주재윤(J.Y.Joo),김호준(H.J.Kim),고영철(Y.C.Ko),엄홍섭(H.S.Eom),이종민(J.M.Lee) 한국정보과학회 1989 한국정보과학회 학술발표논문집 Vol.16 No.1

IBM PC/AT 호환기종의 MS-DOS 환경하에서 37개의 방사선 sensor로부터 자료를 0.1초 간격으로 취득하여 이를 color graphics display 및 dick file, printer등으로 출력하는 실시간 방사선 감시 시스템(Radiation Monitoring System : RMS) 을 개발하였다. Multitasking 효과를 얻기위하여 scanner와 응용 프로그램 등의 2가지 프로그램을 개발하였다. Scanner로는 interrupt service routine의 형식으로 작성되었으며, 이는 응용 프로그램에서 run-tine library 형식으로 사용되는 범용 실시간 자료수집 시스템 (Personal Computer Data Acquisition System : PCDAS)이다. PCDAS는 향후 PC를 이용한 실시간 자료수집 시스템 개발에 쉽게 적용할 수 있을것이며 관련 연구 장비의 국산화에 기여할 수 있으리라 생각된다.

배열 탐촉자를 사용한 유도초음파의 모드선정 기법

김영환(Young H. Kim),송성진(Sung-Jin Song),박준수(Joon-Soo Park),김재희(Jae-Hee Kim),엄홍섭(Heung-Sup Eom) 한국비파괴검사학회 2005 한국비파괴검사학회지 Vol.25 No.1

GMDH를 이용한 자동모형화에 관한 연구

송한식,엄홍섭,안기범 東亞大學校 經營問題硏究所 1996 經營論叢 Vol.17 No.-

SUMMARYWe now that system's modeling is to find the functional formulation of system's transformation process from input variables to output value. In this causal relationship, we assume that transformation process has very stable and predictable function and we can only determine parameters of the function.But in this system's modeling process, we bring up two problems. One is, in much cases, we have no conviction that really they have functional relationship. The others is, even if they have functional relationship we can not know the structure of functional equation.To solve this problem, we need a new method which could build functional formulation of itself. It is called self-organizing methods of modeling. GMDH (Group Method of Data Handling) is one of these self-organizing methods.In this paper, the GMDH is used to build a model in some cases.The GMDH algorithm, which was introduced and developed by Ivakhnenko, constructs high-order functional models for complex systems. GMDH self-organized the model from a simple one to one of optimal complexity by a methodology using the process of survival-of-the-fillest principle to determine which new equations to live and which equations to die. This new generation of equations will then be better suited to describe our system then the original this GMDH algorithm has thee steps in detail below. step 1 : constructing new variables Z1, Z2, ......Zm(m-1)/2 step 2 : screening out the less effective variables step 3 : test for optimality We developed this GMDH algorithm to a computer program. We applied GMDH to estimate the function which gives the value of degree of freedom by using Chai square(x2) distribution probability values and time series analysis of stock price estimation. In this trial, we used some previously-known data and the estimation ability of GMDH was good.In conclusion, the GMDH is excellent to build model to estimate dependent variable without specifying functional formulation in system modeling. So, in future study, we can apply this GMDH algorithm to develop the structure of neural network in forecasting and the area of medical science, economic model, etc.