• Journal of the Korea Institute of Military Science and Technology
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• v.5 no.2
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• pp.50-61
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• 2002

In this study, 3-dimensional virtual visualization was performed for a rapid and accurate analysis of sea bottom topography, The visualization was done through the extracted data using the developed program and the generated data using the gridding method. The data extraction program was developed with AutoLISP programming language and this program was able to extract the needed sample bathymetry data from the electronic sea chart systematically as well as effectively. The gridded bathymetry data were generated by the interpolation or extrapolation method from the spatially-irregular sample data. As the result of realization for the 3-dimensional virtual visualization, it was shown a proper feasibility in the analysis of the sea bottom topography to determine the route of submarine cable burial.

• Journal of the Korea Institute of Military Science and Technology
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• v.13 no.3
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• pp.388-396
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• 2010

Generally, flight information is transmitted by voice signal over legacy UHF radio in ground to air communication system. In this paper, we have implemented the transceiver of TDL(tactical data link) which transmits tactical information, such as flight information, using digital signal. For transmitting digital information over radio path, we have designed data modem that is processing CPFSK modulation, and TDMA(Time Division Multiple Access) network for Synchronization among multi user(platform). By simulating aeronautical propagation modeling with the environment of Korea terrain, it is predicted the maximum performance of communication range of the transceiver. As result of the transceiver's aviational boarding test, it is proved that the transceiver of TDL over legacy UHF radio transmits and receives the tactical information in TDMA network within communication range of 160km.

• Journal of the Korea Institute of Military Science and Technology
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• v.23 no.4
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• pp.426-434
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• 2020

This paper studies the impact of the maintenance time of anti-ship missile Harpoon on operational availability with real field data. The Harpoon maintenance simulation model is developed as a testbed for identifying the optimal inventory levels on operational availability. Using multiple linear regression analysis and integer programming, the optimal inventory levels of essential assemblies are suggested. Finally, the result of sensitivity analysis shows the quantitative impact of maintenance time on operational availability and inventory costs. The authors believe that this quantitative analysis can support policy decisions to decrease maintenance time of missiles.

• Journal of the Korea Institute of Military Science and Technology
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• v.2 no.2
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• pp.242-250
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• 1999

This paper presents an estimation scheme of the external torque applied on the motor by using measured motor input current when the IPM(Interior Permanent Magnet) rotor type BLDC motor operates with constant speed. In general, the BLDC motor is controlled by vector control method. If it could be operated at over critical speed, the control scheme must be modified to flux-weakening control method. The external torque applied on the motor using flux-weakening control method could not be calculated by conventional torque equation because the demagnetizing current Id exists in the motor input current. In this paper, the commonly used flux-weakening control method is studied and the modified torque estimation scheme is suggested. The estimation scheme has been verified by the simulations and experimental results.

• Journal of the Korea Institute of Military Science and Technology
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• v.13 no.5
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• pp.917-923
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• 2010

The local area weather information is very important element to estimate where the air-pollutant will flow. But the existing NBC hazard prediction model does not consider the local area weather information. So, in this paper, we present SN-HPM that uses the local area wether information to perform more accurate and reliable estimate, and embody it to program.

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

• Proceedings of the Korean Information Science Society Conference
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• 2012.06c
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• pp.92-94
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• 2012

시맨틱 웹은 인터넷 환경에서 지식을 표현하고 공유하기 위한 표준 기술들의 집합체이며, 온톨로지는 특정 지식 도메인의 용어와 용어 사이의 관계를 정의한 지식 표현체계이다. 본 연구에서는 시소러스를 SKOS 기반 온톨로지로 모델링하여 LOD로 공개하는 실제적 방법을 제시한다. 시소러스의 어휘 용어 체계와 의미 관계를 분석하고, 이 분석 결과를 활용하여 변환 방식을 정의한 후, SKOS 온톨로지를 생성하며, 그 결과를 DataHub에 등록함으로써 LOD에 공개된다. 과학기술 분야의 한 중 일 대역어와 유사어, 관계어 등의 시소러스를 SKOS 온톨로지로 변환한 데이터는 http://thedatahub.org/dataset/steak에서 확인할 수 있다.

• Journal of Information Management
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• v.39 no.1
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• pp.221-237
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• 2008

CrossRef provides a various queries(OpenAPIs) which can be used for DOI & meta data lookup. CrossRef encourages publishers and library societies to develop diverse system by using the queries. In this thesis, CrossRef's queries are analyzed and DOI Lookup API which could automatically lookup the DOI by various methods was developed. I proposed that how institutions having their own meta data can use the developed API.

• Annual Conference of KIPS
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• 2012.11a
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• pp.1410-1411
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• 2012

최근 모바일 사용자의 안전한 위치기반 서비스의 사용을 위한 아웃소싱 데이터베이스에서 객체 및 사용자의 위치 정보를 보호하는 연구가 위치 데이터를 보호하기 위한 연구가 활발히 진행되고 있다. 그러나 기존 연구는 불필요한 객체 정보를 요구하기 때문에, 높은 질의 처리 시간을 지니는 단점을 지닌다. 이러한 문제점을 해결하기 위해, 본 논문에서는 기준 POI를 중심으로 객체의 방향성 정보와 변환된 거리를 이용하여, 사용자와 객체의 정보를 보호하는 k-최근접 질의처리 알고리즘을 제안한다.

• Annual Conference of KIPS
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• 2004.05a
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• pp.453-456
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• 2004

전자상거래에서 추천 시스템은 일반적으로 협동적 필터링이라는 정보 필터링 기술을 사용한다. 협동적 필터링 기술은 유사한 성향을 갖는 다른 고객들이 상품에 대해서 매긴 평가에 기반한다. 협동적 필터링이 유사 선호도를 갖는 이웃 고객들의 평가에 근거하기 때문에 고객에게 가장 적합한 유사 이웃들을 적절히 선정해 내는 것은 추천 시스템에서 예측의 질 향상을 위해 필요하다. 본 논문에서 우리는 ordered clustering을 이용하여 협동적 필터링을 위한 향상된 이웃선정 방법을 제안한다. 이 방법은 탐색 공간을 줄이기 위해 k-means 클러스터링 방법을 사용한다. 그리고 클러스터링에 의해 구성된 고객들에 대해서 threshold 값에 의해 보다 정제된 고객들을 최종 선정함으로써 고객에게 보다 의미 있는 적합한 고객이 최종적인 이웃으로 선정될 수 있도록 한다. 실험은 Compaq Computer Corporation에 의해 제공된 EachMovie 데이터 셋을 사용하였다. 실험 결과로 우리는 제안한 방법이 다른 방법보다 좋은 예측 정확도를 갖는 것을 확인할 수 있었다.