• Title/Summary/Keyword: 모의훈련

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Development of Network Based Tank Combat Training Model (네트워크 기반의 전차 교전 훈련 모델 개발)

  • Roh, Keun Lae;Kim, Eui Whan
    • Journal of the Korean Society of Systems Engineering
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    • v.4 no.2
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    • pp.27-33
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    • 2008
  • As a part of development of Korean K2 main battle tank, embedded training computer to be operated in the main equipment, which makes it possible to train without a special-purposed training simulator, was adopted for tank combat training. The category of embedded training of Korean K2 main battle tank includes driving training, gunnery training, single tank combat training, platoon level combat training, and command and platoon leaders combat training. For realization unit level tank embedded training system, the virtual reality was utilized for real time image rendering, and network based real time communication system of K2 tank was utilized for sharing status information between tanks. As a result, it is possible to train themselves on their own tank for enhancing the operational skills and harmonized task with members.

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Establishment of the power substation training center for intensifying executive ability (실무 및 위기대응훈련 강화를 위한 변전종합실습장 구축)

  • Jeong, Kyu-Won;Kim, Do-Won;Lee, Eun-Hye;Kim, Jae-Koon;Yeo, Geun-Taek;Lee, Bong-Hee;Park, Soon-Kyu
    • Proceedings of the KIEE Conference
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    • 2008.07a
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    • pp.349-350
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    • 2008
  • 본 논문에서는 지속적으로 발생하는 송변전고장을 효과적으로 대처하기 위한 근원적 고장예방대책으로 실질적인 위기대응훈련과 변전설비운영분야 근무 직원의 역량강화를 위한 실설비와 연계된 옥내.외 변전소 형태의 변전종합실습장을 구축하는 방안을 제시하였다. 이를 토대로 중앙교육원내 정진관을 개보수하여 실변전설비를 활용한 설비점검, 모의고장훈련, 계통시뮬레이터 실습 및 주요 변전설비 전시가 동시에 이루어지도록 변전종합실습장을 구축하였다. 이를 통하여 변전분야 전 교육과정에 실습장을 활용한 실습교육을 도입하여 변전설비운영분야 근무자의 실무능력배양을 위한 변전분야 종합 교육센터로 전환 할 수 있는 계기를 마련하였다.

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Evaluations of predicted models fitted for data mining - comparisons of classification accuracy and training time for 4 algorithms (데이터마이닝기법상에서 적합된 예측모형의 평가 -4개분류예측모형의 오분류율 및 훈련시간 비교평가 중심으로)

  • Lee, Sang-Bock
    • Journal of the Korean Data and Information Science Society
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    • v.12 no.2
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    • pp.113-124
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    • 2001
  • CHAID, logistic regression, bagging trees, and bagging trees are compared on SAS artificial data set as HMEQ in terms of classification accuracy and training time. In error rates, bagging trees is at the top, although its run time is slower than those of others. The run time of logistic regression is best among given models, but there is no uniformly efficient model satisfied in both criteria.

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Image Processing Technique for Laser Beam Recognition in Shooting Simulation System (모의 사격 시스템에서 레이저 빔 인식을 위한 영상처리 기법)

  • Oh, Se-Chang;Han, Dong-Il
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.13 no.3
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    • pp.594-601
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    • 2009
  • Shooting simulation systems not only reduce a great amount of expense and time for military exercises but also prevent accidents. In particular, the shooting simulation systems using laser beam have an advantage which is very similar to the shooting exercise that uses real bullets. However, real time technique for laser beam recognition in a target image is necessary. The method proposed in this paper takes a difference image from two adjacent image frames. Then a thresholding is applied on this difference image to discriminate laser beam from background. To decide the threshold value the intensity distribution of background points is modeled assuming normal distribution. Then a noise reduction and a region segmentation are applied on the binary image to find the position of a laser beam. The time complexity of this process depends on the size of an image multiplied by the size of a mask used in the noise reduction process. The experimental result showed that the accuracy of the system was 93.3%. Even in the inaccurate cases the beam was always found in the resultant region.

Design and Implementation of Cyber Warfare Training Data Set Generation Method based on Traffic Distribution Plan (트래픽 유통계획 기반 사이버전 훈련데이터셋 생성방법 설계 및 구현)

  • Kim, Yong Hyun;Ahn, Myung Kil
    • Convergence Security Journal
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    • v.20 no.4
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    • pp.71-80
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    • 2020
  • In order to provide realistic traffic to the cyber warfare training system, it is necessary to prepare a traffic distribution plan in advance and to create a training data set using normal/threat data sets. This paper presents the design and implementation results of a method for creating a traffic distribution plan and a training data set to provide background traffic like a real environment to a cyber warfare training system. We propose a method of a traffic distribution plan by using the network topology of the training environment to distribute traffic and the traffic attribute information collected in real and simulated environments. We propose a method of generating a training data set according to a traffic distribution plan using a unit traffic and a mixed traffic method using the ratio of the protocol. Using the implemented tool, a traffic distribution plan was created, and the training data set creation result according to the distribution plan was confirmed.

A Study on the Mobilization Simulation Mode of Government Exercise for Emergency (비상대비 정부연습의 동원 시뮬레이션 모형에 관한 연구)

  • Joo, Choong-Geun;Lee, Sung-Lyong
    • The Journal of the Korea Contents Association
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    • v.21 no.10
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    • pp.476-493
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    • 2021
  • This study is on the simulation conditions of the tentative 'mobilization simulation mode'(MOBSM) and the setting option of major simulation elements. The MOBSM is a training module that practices mobilization of various institutions through a simulation computer similar to actual situations. So far, mobilization exercise(Mob-Ex) is a message simulation method, so it is necessary to convert into a MOBSM because many problems such as fragmentary and practice only by some institutions are raised. Therefore, the theoretical background and previous studies on Mob-Ex and simulation were reviewed to derive the requirements and simulated elements of the MOBSM to meet the purpose of government level exercise and to suggest the critical concepts and the direction of application. The basic requirement is to simulate the main mobilization practices by institution and provide information on the mobilization execution in a nationwide scope. The simulation elements are simulated events and flow charts by mobilization type, simulated range and level by object, simulated contents of material mobilization by institution, key simulated items, DB application, and simulated period, etc. This study will be useful for policy establishment and follow-up research for technology development of MOBSM in the future, and will accelerate the transition to practical mobilization exercise by MOBSM.

현대 사격모의장비 동향과 전망

  • Kim, In-U
    • Defense and Technology
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    • no.2 s.132
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    • pp.54-63
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    • 1990
  • 앞으로 장비의 소형화 경향은 계속될 것이다. 병사와 소총에 부착되는 장비가 작을수록 시뮬레이션은 실제상황에 더욱 근접할수 있을 것이다. 대부분의 사용군에서 제병연합훈련은 훨씬 더 장기목표인 듯하며, 초기단계에서는 소규모 보병단위부대에서 TES분야에서만 시장규모가 약 3억불 수준으로 추정된다. 장차 TES사용이 확대되어 TES 분야에서의 활황이 예상되며, 독일, 프랑스 및 영국의 업체들중 최종 승자가 TES시장을 거의 독점할 것으로 전망된다

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Software Quality Classification Model using Virtual Training Data (가상 훈련 데이터를 사용하는 소프트웨어 품질 분류 모델)

  • Hong, Euy-Seok
    • The Journal of the Korea Contents Association
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    • v.8 no.7
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    • pp.66-74
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    • 2008
  • Criticality prediction models to identify most fault-prone modules in the system early in the software development process help in allocation of resources and foster software quality improvement. Many models for identifying fault-prone modules using design complexity metrics have been suggested, but most of them are training models that need training data set. Most organizations cannot use these models because very few organizations have their own training data. This paper builds a prediction model based on a well-known supervised learning model, error backpropagation neural net, using design metrics quantifying SDL system specifications. To solve the problem of other models, this model is trained by generated virtual training data set. Some simulation studies have been performed to investigate feasibility of this model, and the results show that suggested model can be an alternative for the organizations without real training data to predict their software qualities.

An Efficient Channel Estimation Method in MIMO-OFDM Systems (MIMO-OFDM 시스템에서 효율적인 채널 추정 방식)

  • Jeon, Hyoung-Goo;Kim, Jun-Sig
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.19 no.10
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    • pp.2275-2284
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    • 2015
  • In this paper, the Walsh coded orthogonal training signals for 4 × 4 multiple input multiple output-orthogonal frequency division multiplexing (MIMO-OFDM) systems are designed and the channel estimation equations are derived as a closed form, taking account of the inter training signal interference problems caused by the multi-path delayed signals. The performances of the proposed channel estimation method are analyzed and compared with the conventional methods[9,14] by using computer simulation. The simulation results show that the proposed methods has better performances, compared with the conventional methods[9,14]. As a result, the proposed method can be used for MIMO-OFDM systems with null sub-carriers.

Symbol Synchronization of OFDM Systems using Signs of Preamble Signals (훈련신호의 부호를 사용한 OFDM 시스템의 심볼동기)

  • 황진권
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.29 no.5A
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    • pp.502-513
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    • 2004
  • This paper proposes a symbol synchronization method in the IEEE 802.11a wireless OPDM system, which uses only signs of the in-phase and the quadrature signals in the short preamble. The short preamble is sampled with 2 tines of Nyquist sampling rate and both of the autocorrelation and the cross-relation are used in the proposed method. This method has some advantages that the ACG (Automatic Gain Control) can be processed concurrently during the short preamble and its implementation is not much complicated. The proposed symbol synchronization method is verified through simulations on frequency offset, multi-path and white Gaussian noise.