조직 상황을 고려한 DEA 기반의 벤치마킹 프레임워크

설현주 ( Hyeon Ju Seol ),임성묵 ( Sung Mook Lim ),박광만 ( Gwang Man Park ) 한국품질경영학회 2009 품질경영학회지 Vol.37 No.1

공공기관의 정보통신기술과 효율성간의 관계 분석

설현주(Hyeon Ju Seol),김수욱(Soo Wook Kim),박용태(Yong Tae Park) 한국경영학회 2005 經營學硏究 Vol.34 No.6

DSM 기반의 프로세스 구조화 방법론

설현주 ( Hyeon Ju Seol ),김철현 ( Chul Hyun Kim ),이창용 ( Chang Yong Lee ),박용태 ( Yong Tae Park ) 한국품질경영학회 2009 품질경영학회지 Vol.37 No.3

AHP를 이용한 공중승무원 비행환경 적응장비 획득방안 선정에 관한 연구

설현주,김규호,정현욱,조환기,황창수,Seol, Hyeon-Ju,Kim, Gyu-Ho,Jung, Hyun-Wook,Cho, Hwan-Kee,Hwang, Chang-Su 한국군사과학기술학회 2009 한국군사과학기술학회지 Vol.12 No.4

The purpose of this study is propose an alternative for flight attendants to acquire equipment that could enhance the ability to adapt in flying conditions. Introducing and acquiring weapon system, such equipments should be deeply considered in multilateral aspects; reinforcements in the overall strategic status in the army, the ramifications that can contribute to military resources, and economic situations in the country. To do this, we first induced several criteria that can be used for evaluating alternatives. After that, we applied the analytic hierarchy process(AHP) approach to putting all factors into considerations in decision making for equipment acquirement. The results of this study are expected to have usefulness in formulating strategies and policies in selecting equipment acquisition alternatives for flight attendants.

플렉서블 OLED 디스플레이용 TFT 기판 및 전극 기술 동향

정재경,설현주,이지원,김민재,허재석,Jeong, Jae-Gyeong,Seol, Hyeon-Ju,Lee, Ji-Won,Kim, Min-Jae,Heo, Jae-Seok 한국정보디스플레이학회 2017 인포메이션 디스플레이 Vol.18 No.5

국방 기술의 민수화 우선순위 평가 방법론 : 특허 분석 및 계층분석과정 (AHP) 기반

박윤미,설현주,Park, Yun-Mi,Seol, Hyeon-Ju 한국국방경영분석학회 2010 한국국방경영분석학회지 Vol.36 No.3

Dual-use technology, upon its effective development, can be a highly efficient technology that may be utilized for both achieving industry competitiveness and building National Security. Although research needs for such development methodology and call for corresponding efforts have long been proposed, actual outputs have not reached its desired level. Hence, this paper aims to provide more concrete and quantitative process in technology planning used to activate development of dual-use technology, considering dual usability and transferability of such technologies. In such effort, we propose use of patent analysis and the Analytic Hierarchy Process (AHP) for determining priorities for spin-off defense technology. First, the necessity of R&D and potential spin-off are measured based on patent information. Second, the necessity of R&D results from a quantitative analysis and the potentials spin-off are derived from analysis of patent citations. Then, AHP is used to calculate the importance of evaluating factors, and to assess alternative scores. Finally, we present the result of spin-off priority. A case study on the Korea defense technology is presented to illustrate the proposed method. We expect this study to make contribution in vision making of the military R&D spending. 민군 겸용기술은 민간부문은 물론 군사부문에도 이용되는 기술로 이러한 기술은 산업의 경쟁력 확보와 안보 역량을 동시에 충족한다는 측면에서 볼 때 저비용 고효율의 기술이라 할 수 있다. 따라서 이러한 민군 겸용기술 개발을 활성화하기 위한 기술 기획 방법 및 이와 관련된 연구의 필요성은 제기되어 왔으나 실제 이와 관련된 연구는 부족한 실정이다. 본 연구는 민군 겸용기술 개발을 활성화하기 위한 기술 기획에 있어 기술의 겸용성과 이전을 고려한 보다 구체적이고 정량적인 절차를 제시하는데 목적이 있다. 이를 위해 특허와 특허 인용 그리고 특허와 산업 연관관계를 바탕으로 한 기술 개발 우선 순위 도출 과정을 체계적으로 제시하였으며 이 과정에서 계층분석 기법을 적용하였다. 제안한 방법의 유용성을 검증하기 위하여 국방 기술분야 중 항공기 무기체계를 대상으로 사례연구를 수행하였으며, 본 연구 결과는 국방 분야 기술 수요 도출시 민수화 가능성이 높은 기술을 제시함으로써 민군 겸용기술을 발굴하는데 기여할 것으로 기대된다.

Live-Virtual 시뮬레이션 환경차이에 따른조종사 스트레스 유발요인 분석

김진주(Jin ju Kim),김성호(Sung ho Kim),설현주(Hyeon ju Seol),지철규(Cheol kyu Jee),홍영석(Young seok Hong) 한국산업경영시스템학회 2016 한국산업경영시스템학회지 Vol.39 No.1

Recently, Live-Virtual-Constructive (L-V-C) integrate training system has proposed as a solution for the problems such as limitation of training areas, increase of mission complexity, rise in oil prices. In order to integrate each training system into the one effectively, we should solve the issue about stress of pilots by the environmental differences between Live and Virtual simulation which could be occurred when each system is connected together. Although it was already examined in previous study that the psychological effects on pilots was occurred by the environmental differences between actual and simulated flights, the study did not include what the causal factors affecting psychological effects are. The aim of this study is to examine which environmental factors that cause pilots’ psychological effects. This study analyzed the biochemical stress hormone, cortisol to measure the pilots’ psychological effects and cortisol was measured using Enzyme-linked immunoassay (EIA). A total of 40 pilots participated in the experiment to compare the differences in pilots’ cortisol response among live simulation, virtual simulation, and the virtual simulation applying three environmental factors (gravity force, noise, and equipment) respectively. As a result, there were significant differences in cortisol level when applied the gravity force and equipment factors to the virtual simulation, while there was no significant difference in the case of the noise factor. The results from this study can be used as a basis for the future research on how to make L-V system by providing minimum linkage errors and design the virtual simulator that can reduce the differences in the pilots’ psychological effects.

무기체계 운용시험평가 개선전략 도출 및 우선순위 결정

이강경,김금률,윤상돈,설현주,Lee, Kang Kyong,Kim, Geum Ryul,Yoon, Sang Don,Seol, Hyeon Ju 한국융합보안학회 2021 융합보안 논문지 Vol.21 No.1

국방 연구개발은 변화하는 미래 전장환경에 대응하기 위해 중·장기 소요로 결정된 무기체계를 확보하기 위한 핵심과정이다. 특히 시험평가는 무기체계 연구개발의 마지막 관문으로서 전력화 전환여부를 결정하는데 필요한 정보를 제공해주고 무기체계의 수명주기와 연계된 성능보장을 위해서도 중요한 역할을 수행한다. 한편 최근 한반도 작전환경 및 국방 획득환경의 변화를 살펴보면, 크게 3가지 특징을 확인할 수 있다. 먼저 무기체계 전력화 운용시 지속적인 안전사고가 발생하여 전투원 안전에 대한 사회적 관심이 증대되었고, 획득비용의 증가에 따라 한정된 국방예산의 효율적 집행이 요구되고 있다. 또한 로봇·자율무기체계(RAS), 사이버 보안 시험평가 등 미래 전장환경에 대응하기 위한 전략적 접근이 필요하다. 따라서 본 연구에서는 최근 변화된 안보환경의 특징을 고찰하여 무기체계 운용시험평가의 개선전략을 제시하고자 한다. 이를 위해 현행 무기체계 운용시험평가 시스템의 보완소요를 다차원 모형으로 분석하여 개선전략을 도출하였고 계층적 분석기법(AHP)을 통해 우선순위를 결정하였다. Defense R&D is a key process for securing weapons systems determined by mid- and long-term needs to cope with changing future battlefield environments. In particular, the test and evaluation provides information necessary to determine whether or not to switch to mass production as the last gateway to research and development of weapons systems and plays an important role in ensuring performance linked to the life cycle of weapons systems. Meanwhile, if you look at the recent changes in the operational environment of the Korean Peninsula and the defense acquisition environment, you can see three main characteristics. First of all, continuous safety accidents occurred during the operation of the weapon system, which increased social interest in the safety of combatants, and the efficient execution of the limited defense budget is required as acquisition costs increase. In addition, strategic approaches are needed to respond to future battlefield environments such as robots, autonomous weapons systems (RAS), and cyber security test and evaluation. Therefore, in this study, we would like to present strategies for improving the testing and evaluation of weapons systems by considering the characteristics of the security environment that has changed recently. To this end, the improvement strategy was derived by analyzing the complementary elements of the current weapon system operational test and evaluation system in a multi-dimensional model and prioritized through the hierarchical analysis method (AHP).

인공지능 기법을 활용한 전쟁교훈분석에 관한 연구 - LDA 토픽모델링 기반으로 -

양성실 ( Yang Seong-sil ),설현주 ( Seol Hyeon-ju ) 미래군사학회 2023 한국군사학논총 Vol.12 No.1

본 연구는 최근 급부상 중인 인공지능을 ‘전쟁교훈분석’(줄여서 전훈분석)이라는 국방정책 분야에 적용하기 위한 것이다. 전훈이란 군사 활동 중 얻은 교훈을 통해 전투발전체계 상 문제점을 수집·분석하고 개선소요를 찾아 현존전력의 최적화를 구현하고자는 모든 활동을 말한다. 이 전훈을 도출하기 위해서 과거 분석사례, 관련 교범, 훈령·규정, 작전계획 등 사전 검토해야만 하는 데이터양이 엄청나다는 것과 그로 인한 분석 절차상 과도한 시간 외에도 많은 예산이 소요될 수밖에 없다. 본 연구는 이 문제점을 해결하고자 기존 방법 외에 인공지능 머신러닝을 기반으로 한 정량적 연구를 적용하는 새로운 접근방식을 시도한다. 특히 자연어로 구성된 전훈 데이터를 머신러닝 자연어처리 기법 중 LDA 토픽모델링을 이용해 전투발전체계별 토픽과 핵심단어로 추출하는 방안을 제시하였다. 또 EDA 결과와 XAI 구현을 통해 군 지휘관과 같이 특정 대상에게 인공지능의 제시 결과를 신뢰할 수 있도록 근거를 제공한다. This study is to apply Artificial Intelligence(AI), which has recently emerged rapidly, to the field of defense policy called 'Lessons Learned(LL) Analysis'. LL refers to all activities to collect and analyze problems in the combat development system(including DOTMLPF-P) through the lessons during military activities, find improvement needs, and implement all the activities to optimize the existing armed forces. In order to derive LL, the amount of data that must be reviewed in advance, such as past analysis cases, related publications, regulations, and operational plans, which inevitably takes a lot of budget in addition to excessive time. To solve this problem, this study attempts a new approach to apply quantitative research based on AI ML(Machine Learning) in coupled with existing methods. In particular, the LL data composed of natural language was extracted into topics and key words that are categorized by each field of combat development system using LDA topic modeling. In addition, through the implementation of EDA(Exploratory Data Analysis) results and XAI(eXplainable AI), it is possible to provide a reliable basis for AI-produced results to specific targets such as military commanders.

초음파로 진단한 병합임신

김미경 ( Kim Mi Gyeong ),설현주 ( Seol Hyeon Ju ),김문정 ( Kim Mun Jeong ),박현주 ( Park Hyeon Ju ),신지혜 ( Shin Ji Hye ),최미숙 ( Choi Mi Suk ),이경순 ( Lee Gyeong Sun ),김은규 ( Kim Eun Gyu ) 대한산부인과학회 2003 Obstetrics & Gynecology Science Vol.46 No.7

Heterotopic pregnancy is a condition in which ectopic and intrauterine pregnancies coexist. The reported incidence varies widely form 1 in 1000 to 1 in 30000 pregnancies. Assisted reproductive technologies have led to an increase in the number of heterotopic pregnancies. Because heterotopic pregnancy is difficult to diagnose early and it has high morbidity and mortality rate, careful pelvic examination combined with transvaginal sonogram and serial β-HCG determinations are important. We experienced a case of heterotopic pregnancy in a natural cycle diagnosed by ultrasonogram who continued intrauterine pregnancy successfully.