• 한국국방경영분석학회지
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• 제36권3호
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• pp.1-13
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• 2010

자료포락분석(DEA: Data Envelopment Analysis)기법은 민간 및 국방 분야에 있어서 조직 및 사업의 효율성 분석을 위해 폭넓게 활용되고 있다. 특히, 최근 국방분야에서는 방위산업체, 군병원 그리고 군시설공사에 DEA기법을 활용한 연구가 진행되었다. 본 논문에서는 DEA기법을 활용하여 함정무기체계 구조적 효율성 평가를 수행하였다. 함정무기체계의 효율성 평가를 통해 무기체계 획득시 ROC 결정이나 기종결정 등에 객관적인 의사결정 정보를 제공할 수 있을 것으로 기대된다.

• Journal of Information Processing Systems
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• 제16권2호
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• pp.246-260
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• 2020

IT Service Management (ITSM) achieves consolidated management for the IT services supporting the acquisition system, and no outside connections can be established with such ITSM. Issues pertaining to the D2B can be addressed to System Q&A or a Call Center for problem-solving. In other words, internal staff can take the necessary measures for problems by directly connecting with ITSM. Currently, diverse innovative technologies are being used in electronics and ubiquitous computing environments. This allows us to create a better world by providing the backbone for remarkable development in our human society in the fields of electronics, devices, computer science, and engineering. Following the expansion of IT services in the military acquisition sector such as Defense Electronic Procurement, military export/import support system, etc., customers' dependence on IT for conducting business with the military or related companies is increasing, including the military's dependence on the same technology for services to the public. Nonetheless, issues pertaining to the simplified/integrated management of complex IT service management systems, including slow system recovery, lack of integrated customer service window, and insufficient information sharing, have become the priority problems that IT managers are required to solve. Therefore, this study conducted research on the integrated management of IT services provided by Korea's national defense acquisition system, which was developed based on the existing system IT Infrastructure Library (ITIL) v2, and investigated the level of satisfaction with services with focus on ensuring that it can be used for understanding the necessity of the system and its advancement in the future.

• 한국군사과학기술학회지
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• 제21권5호
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• pp.599-606
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• 2018

Failure data of systems in many field can be erroneous, which influences the reliability analysis of the systems. The general form of failure data is right censored data with accurate time information. But due to its nature of data collection in the military field, failure time of one-shot weapon systems can have errors which are related to the maintenance period. So this paper suggests a model that can reduce the error by utilizing interval censored data as an alternative to right censored data in weibull distribution.

• 한국컴퓨터정보학회논문지
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• 제13권2호
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• pp.95-103
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• 2008

최근 들어 유비쿼터스 시대를 맞이하여 군 관련 정보의 통합운용이 점점 더 중요한 주제로 부각되고 있다. 기존정보시스템을 통합 운용함에 있어 문제의 핵심은 정보의 시맨틱의 불일치이다. 이의 해결을 위해 메타데이터의 활용이 요구되고 있다. 메타데이터는 데이터에 관한 데이터를 말하는 것으로 자원의 검색을 빠르게 하는데 사용되며 또한 시맨틱 갭을 해결하는데 사용된다. 본 논문에서는 군 정보통합을 위한 메타데이터 기반의 데이터 그리드 시스템을 다룬다. 먼저 군 정보 통합을 위한 접근방법으로서 연합 데이터베이스와 데이터 그리드에 관하여 살펴보고, 메타데이터 기반의 데이터 그리드를 다룬 다음, 이에 기초한 군사자료 데이터 그리드 시스템을 제시한다.

• 한국국방경영분석학회지
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• 제27권2호
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• pp.56-75
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• 2001

Most O4I Systems are considered as one of the major system in future Information Warfare. However, it is difficult to measure the effectiveness of force improvement when C4I System is used with other weapon systems, quantitatively. In this Paper, we propose a quantitative method to evaluate the force improvement effectiveness of KNTDS(Korea Naval Tactical Data System). This method utilized the Lanchester's equations and its applications. We also showed a numerical example based on a given scenario in a sea battle and the ASP(Analytic Hierarchy Process) Method is applied to verify its results.

• 한국컴퓨터정보학회논문지
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• 제25권3호
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• pp.33-42
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• 2020

각종 감시체계에서 육안에 의존하여 물체를 식별해내는 것은 어렵고 실수하기 쉬우므로 군 감시체계에서 자동식별능력의 필요성은 더욱 높아지고 있다. 사회에 발표되는 모형들은 군 무기체계에 대한 데이터가 반영되지 않아 군에 바로 적용하는 것은 제한된다. 본 연구는 군용 헬기의 이미지에 합성곱 신경망을 적용하여 피아식별 모형을 구축한 연구이다. 제안하는 모형은 우리나라에서 주로 사용하고 있는 헬기인 AH-64 기종과 공산권 국가에서 주로 사용하고 있는 헬기인 Mi-17 기종의 이미지를 통해 학습시켜 구축되었다. 제안하는 모형의 성능을 살펴보면, 평가척도를 이용하여 평가한 결과 97.8%의 정확도, 97.3%의 정밀도, 98.5% 재현율과 97.9%의 F-measure의 성능을 보임을 확인하였다. 이런 분류 결과에 대해서 Feature-map을 통해 아군 헬기의 바퀴와 무장, 그리고 흡기구 주변이, 적군 헬기의 바퀴, 흡기구, 그리고 창문 부위가 피아식별 모형의 분류 기준임을 확인할 수 있었다. 본 연구는 CNN을 이용하여 군 무기체계 중 헬기의 영상정보에 대한 피아식별에 대한 분류를 처음으로 시도한 연구이며, 본 연구에서 제안하는 모형은 기존의 다른 무기체계에 대한 분류 모형보다 높은 정확도를 보인다.

• 한국정보시스템학회지:정보시스템연구
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• 제31권3호
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• pp.177-195
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• 2022

Purpose This paper aims to prepare a full operational readiness by establishing an optimal flight plan considering the weather conditions in order to effectively perform the mission and operation of military aircraft. This paper suggests a flight prediction model and rules by analyzing the correlation between flight implementation and cancellation according to weather conditions by using big data collected from historical flight information of military aircraft supplied by Korean manufacturers and meteorological information from the Korea Meteorological Administration. In addition, by deriving flight rules according to weather information, it was possible to discover an efficient flight schedule establishment method in consideration of weather information. Design/methodology/approach This study is an analytic study using data mining techniques based on flight historical data of 44,558 flights of military aircraft accumulated by the Republic of Korea Air Force for a total of 36 months from January 2013 to December 2015 and meteorological information provided by the Korea Meteorological Administration. Four steps were taken to develop optimal flight prediction models and to derive rules for flight implementation and cancellation. First, a total of 10 independent variables and one dependent variable were used to develop the optimal model for flight implementation according to weather condition. Second, optimal flight prediction models were derived using algorithms such as logistics regression, Adaboost, KNN, Random forest and LightGBM, which are data mining techniques. Third, we collected the opinions of military aircraft pilots who have more than 25 years experience and evaluated importance level about independent variables using Python heatmap to develop flight implementation and cancellation rules according to weather conditions. Finally, the decision tree model was constructed, and the flight rules were derived to see how the weather conditions at each airport affect the implementation and cancellation of the flight. Findings Based on historical flight information of military aircraft and weather information of flight zone. We developed flight prediction model using data mining techniques. As a result of optimal flight prediction model development for each airbase, it was confirmed that the LightGBM algorithm had the best prediction rate in terms of recall rate. Each flight rules were checked according to the weather condition, and it was confirmed that precipitation, humidity, and the total cloud had a significant effect on flight cancellation. Whereas, the effect of visibility was found to be relatively insignificant. When a flight schedule was established, the rules will provide some insight to decide flight training more systematically and effectively.

• 한국군사과학기술학회지
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• 제7권2호
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• pp.65-73
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• 2004

In general, weapon system design/configuration data consist of system structure information which is linked to Part information, documents and drawings. For configuration management, version and revision control are necessary and access control of users to information should be managed for information security. Configuration data of weapon systems have various kinds of different meta data which are contained in the structure as well as attributes of parts and documents information. If neutral types of meta data models be used for building configuration management system, they can be applied to many different kinds of weapon systems with a little customization. In this paper, five meta data models are supposed and implementation results of them by using CBD(component based design) methodology are presented.

• 한국군사과학기술학회지
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• 제3권2호
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• pp.166-178
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• 2000

As the 21st century signifies an information-oriented society, the computer integration takes place in all walks of human presence. Needs for computer and network-integrated automation present new challenges in military as well as commercial facility systems engineering. Since the first intelligent building appeared in USA in 1984, it gradually became an essential capability for the building industry requirement these days. Intelligent Building System(IBS) is evolving to be very complex because there are many subsystems such as telecommunication(TC), office automation(OA), building automation(BA), security, construction environments, etc. During the planing phase of IBS development, therefore, a disciplined systems engineering must be performed to analyze stake- holder's requirements to build an optimized system while minimizing trial-and-error expenses and risks. This paper presents a conceptual design of BAS applying systems engineering methods. The contribution of this study includes the development of IBS subsystem specification for building automation subsystem, which is a part of IBS, using the methodology of requirement analysis, functional analysis, synthesis, and verification. A computer-aided systems engineering s/w, RDD-100, was used to improve the system design efficiency and to promote the product design knowledge management for reuse in later design programs.

• 산업경영시스템학회지
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• 제38권3호
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• pp.87-94
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• 2015

Recently, management based on statistical data has become a big issue and the importance of the statistics has been emphasized for the management innovation in the defense area. However, the Military Management based on the statistics is hard to expect because of the shortage of the statistics in the military. There are many military information systems having great many data created in real time. Since the infrastructure for gathering data form the many systems and making statistics by using gathered data is not equipped, the usage of the statistics is poor in the military. The Analytical Defense Statistics System is designed to improve effectively the defense management in this study. The new system having the sub-systems of Data Management, Analysis and Service can gather the operational data from interlocked other Defense Operational Systems and produce Defense Statistics by using the gathered data beside providing statistics services. Additionally, the special function for the user oriented statistics production is added to make new statistics by handling many statistics and data. The Data Warehouse is considered to manage the data and Online Analytical Processing tool is used to enhance the efficiency of the data handling. The main functions of the R, which is a well-known analysis program, are considered for the statistical analysis. The Quality Management Technique is applied to find the fault from the data of the regular and irregular type. The new Statistics System will be the essence of the new technology like as Data Warehouse, Business Intelligence, Data Standardization and Statistics Analysis and will be helpful to improve the efficiency of the Military Management.