• 제목/요약/키워드: Defense data

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The Methodology and Case of Scientific System Engineering Management Process in Defense Space Program

  • Park, Heonjun
    • 항공우주시스템공학회지
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    • 제15권4호
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    • pp.7-10
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    • 2021
  • Including 425 Program, which is Korean military surveillance and reconnaissance satellite, there were mostly civil-driven space programs in Korea. However, there are increasing numbers of military demand-driven space program in nowadays. Furthermore, it is positive effects on launch vehicle development in Korea that the termination of Korea-U.S. missile guideline. In this paper, it emphasizes the needs of system engineering(SE) management method which meets both defense system's characteristics and space's characteristics. These characteristics are such as non-fixable after the launch, the security issue in defense system. And it also introduces SE tool, methodology and its philosophy. There are several functions that data management, issue management, risk management, and technical requirement management. Also describing its implications and direction of improvement.

국방 AI 소요의 중복 최적화를 위한 AI 능력(Capability)의 역할 개념모델 연구 (A study on a conceptual model of AI Capability's role to optimize duplication of defense AI requirements)

  • 박승규;이중윤;이주연
    • 시스템엔지니어링학술지
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    • 제19권1호
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    • pp.91-106
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    • 2023
  • Multidimensional efforts such as budgeting, organizing, and institutionalizing are being carried out for the adoption of defense AI. However, there is little interest in eliminating duplication of defense resources that may occur during the AI adoption. In this study, we propose a theoretical conceptual model to optimize duplication of AI technology that may occur during the AI adoption in the vast defense field. For a systematic approach, the JCA of the US DoD and system abstraction method are applied, and the IMO logical structure is used to decompose AI requirements and identify duplication. As a result of analyzing the effectiveness of our conceptual model through six example defense AI requirements, it was found that the amount of requirements of data and AI technologies could be reduced by up to 41.7% and 70%, respectively, and estimated costs could be reduced by up to 35.5%.

멀티에이전트 강화학습에서 견고한 지식 전이를 위한 확률적 초기 상태 랜덤화 기법 연구 (Stochastic Initial States Randomization Method for Robust Knowledge Transfer in Multi-Agent Reinforcement Learning)

  • 김도현;배정호
    • 한국군사과학기술학회지
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    • 제27권4호
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    • pp.474-484
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    • 2024
  • Reinforcement learning, which are also studied in the field of defense, face the problem of sample efficiency, which requires a large amount of data to train. Transfer learning has been introduced to address this problem, but its effectiveness is sometimes marginal because the model does not effectively leverage prior knowledge. In this study, we propose a stochastic initial state randomization(SISR) method to enable robust knowledge transfer that promote generalized and sufficient knowledge transfer. We developed a simulation environment involving a cooperative robot transportation task. Experimental results show that successful tasks are achieved when SISR is applied, while tasks fail when SISR is not applied. We also analyzed how the amount of state information collected by the agents changes with the application of SISR.

A proposal of MFMCAM and its applications

  • Kumaki, Takeshi;Iwai, Keisuke;Kurokawa, Takakazu
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2002년도 ITC-CSCC -1
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    • pp.224-227
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    • 2002
  • This paper proposes MFMCAM(Multi-Functional Multi-port CAM) which has several ports with same characteristic function. This device can process data faster than the conventional single port CAM. MFMCAM is superior to CAMs formed in parallel on the stand points of frequency and module resources. Two representative applications of MFMCAM, sorter and router, are also presented.

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인공신경망을 이용한 국방조달 부정당업자 예측모형 개발 (An Artificial Neural Network Approach for the Prediction of Unlawful Company in Defense Procurement)

  • 한홍규;최석철
    • 한국국방경영분석학회지
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    • 제37권1호
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    • pp.1-9
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    • 2011
  • 현대 국방획득 업무에서 계약업체의 관리는 중요한 요소라고 할 수 있다. 국방조달에 있어서 부정당업자의 발생은 무기체계의 전력화에 큰 차질을 유발시켜 획득사업이 원활히 이행되지 못하는 원인을 야기시킨다. 본 논문에서는 인공신경망 모형을 이용하여 국방조달에서 부정당업자를 판별할 수 있는 예측모형을 개발하고자 한다. 모형에 사용된 데이터는 국내 중소 제조기업을 대상으로 구축된 학습용 및 검증용 자료를 활용하여 실증분석 하였다. 본 연구를 통해 제시된 모형의 결과로 사업관리자들의 사업관리 능력을 향상시키고, 견실한 국방조달업체의 진입을 통한 조달질서 확립에 기여를 할 수 있으리라 기대된다.

경력에 따른 방사선방어 상관성 연구 (Study Radiological Defense Interrelationship Research in Career)

  • 김진수
    • 핵의학기술
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    • 제16권2호
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    • pp.135-138
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    • 2012
  • Purpose : This research the isotope of handling was to an actual act of the radiological defense which it follows in career of the clinical pathological companies in order to inquire the interrelation for a radiological defense. Materials and Methods : The tool of this research with question from 2010 October until November did electrification Chwung Cheng and the Seoul isotope thread clinical pathological company with the object person and it investigated in direct question or mail method, the data which is collected used SPSS19.0 programs and frequency and percentage and t-test, ANOVA, it used it analyzed a multiple regression analysis method. Results : The interrelationship of the radiological defense which it follows in career was visible the interrelation which considers statistically (p<0.01). But the correlation coefficient appeared lowly with 0.196. With the variable who affects in radiological defense act it appeared with worker providing by law educations and RI license acquisitions. Conclusion : There is to business progress and the radiological defense act respects a worker safety stands the unit only is the fact which is important. Consequently a possibility of saying that the radiation worker education is necessary, it executes the education which is continuous, RI license acquisitions, there is.

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Determinants of Middle Managers' Leadership in the Vietnamese Economic-Defense Enterprises

  • HOANG, Cuong Van;NGUYEN, Ngoc Huu;NGUYEN, Loan Quynh Thi;TRAN, Manh Dung
    • The Journal of Asian Finance, Economics and Business
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    • 제7권8호
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    • pp.543-553
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    • 2020
  • The purpose of this study is to investigate factors affecting the leadership capacity of middle managers and then evaluate the corresponding effect on the performance of subordinates in Vietnamese economic and defense enterprises. Data for the study was collected from questionnaire survey of 15 economic and defense enterprises, preceded by in-depth interviews with respondents who are subordinates of the departments/divisions of these enterprises. The research used logistic regression estimator to address econometric issues and to improve the accuracy of the regression coefficients. Our results show that the determinants of the leadership capacity of mid-level managers in defense and economic enterprises include: (i) personal qualities and qualities of managerial officials (understanding, courage), fairness, assertiveness and compliance), and leadership behaviors of two leadership styles - (ii) a transforming leadership style (influenced by ideals, inspirations, concerns) subordinates, stimulating intellect) and (iii) transactional leadership style (rewarding, detecting and handling problems for subordinates). Based on these results, our study suggests that middle managers should possess superior knowledge, care more about subordinates, understand the strengths and weaknesses of each subordinate, always be creative, assertive and courageous people as well as have high standards of competency and morality in order to become outstanding leaders in Vietnamese economic and defense enterprises.

POTENTIAL OF HYPERSPECTRAL DATA FOR THE CLASSIFICA TION OF VITD SOIL CLASSES

  • Kim Sun-Hwa;Ma Jung-Rim;Lee Kyu-Sung;Eo Yang-Dam;Lee Yong-Woong
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2005년도 Proceedings of ISRS 2005
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    • pp.221-224
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    • 2005
  • Hyperspectral image data have great potential to depict more detailed information on biophysical characteristics of surface materials, which are not usually available with multispectral data. This study aims to test the potential of hyperspectral data for classifying five soil classes defined by the vector product interim terrain data (VITD). In this study, we try to classify surface materials of bare soil over the study area in Korea using both hyperspectral and multispectral image data. Training and test samples for classification are selected with using VITD vector map. The spectral angle mapper (SAM) method is applied to the EO-I Hyperion data and Landsat ETM+ data, that has been radiometrically corrected and geo-rectified. Higher classification accuracy is obtained with the hyperspectral data for classifying five soil classes of gravel, evaporites, inorganic silt and sand.

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데이터마이닝에 기반한 예비군훈련 입소율 예측에 관한 연구 (A study on forecasting attendance rate of reserve forces training based on Data Mining)

  • 조상준;마정목
    • 한국산학기술학회논문지
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    • 제22권3호
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    • pp.261-267
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    • 2021
  • 예비군훈련을 담당하는 부대의 임무는 예비군이 평시에 실전적인 훈련을 받을 수 있는 환경을 만들어주는 것이다. 하지만 예비군훈련 담당부대의 특성상 운용 할 수 있는 병력부족의 문제로 실전적인 훈련환경을 만들어주는 예비군 훈련 지원 인원편성에 어려움이 많이 있다. 이러한 이유로 현재 군에서는 전년도 월 평균 예비군 입소율 결과로 당해연도 일일단위 예비군 입소율을 예측하면서 인력편성과 부대운영에 대한 계획을 수립하고 있다. 그러나 기존 예측방법은 실제 입소율과 비교 시 오차가 크게 발생할 수 있다는 문제점을 가지고 있다. 이 문제점은 훈련을 지원하는 교관과 조교 선정에 어려움을 주어 훈련성과 달성에 부정적으로 작용할 수 있다. 그러므로 실제 입소율과 오차를 최소화 할 수 있는 더 정확한 예측모형이 필요하다. 따라서 본 연구에서는 데이터마이닝을 기반으로 일일단위 예비군훈련 입소율을 예측한 모형을 제시하였다. 데이터마이닝 기반 모형의 검증을 위해 예비군훈련 담당부대에서 수집한 실제 데이터로 현재 군에서 사용하는 기존 예측방법과 비교하였다. 그 결과 본 연구에서 제시한 데이터마이닝 기반 예측모형이 기존 예측방법보다 오차를 줄이는 우수한 성능을 보였다.

A Slot Allocated Blocking Anti-Collision Algorithm for RFID Tag Identification

  • Qing, Yang;Jiancheng, Li;Hongyi, Wang;Xianghua, Zeng;Liming, Zheng
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제9권6호
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    • pp.2160-2179
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    • 2015
  • In many Radio Frequency Identification (RFID) applications, the reader recognizes the tags within its scope repeatedly. For these applications, some algorithms such as the adaptive query splitting algorithm (AQS) and the novel semi-blocking AQS (SBA) were proposed. In these algorithms, a staying tag retransmits its ID to the reader to be identified, even though the ID of the tag is stored in the reader's memory. When the length of tag ID is long, the reader consumes a long time to identify the staying tags. To overcome this deficiency, we propose a slot allocated blocking anti-collision algorithm (SABA). In SABA, the reader assigns a unique slot to each tag in its range by using a slot allocation mechanism. Based on the allocated slot, each staying tag only replies a short data to the reader in the identification process. As a result, the amount of data transmitted by the staying tags is reduced greatly and the identification rate of the reader is improved effectively. The identification rate and the data amount transmitted by tags of SABA are analyzed theoretically and verified by various simulations. The simulation and analysis results show that the performance of SABA is superior to the existing algorithms significantly.