• Title/Summary/Keyword: 결정론적 모델

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Damage Prediction Accuracy as a Function of Model Uncertainty in Structures (모델의 불확실성이 구조물의 손상예측정확도에 미치는 영향)

  • 김정태
    • Computational Structural Engineering
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    • v.7 no.3
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    • pp.153-166
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    • 1994
  • A methodology to assess damage prediction accuracy as a function of model uncertainty in structures is presented. In the first part, a theory of approach is outlined. First, a damage detection algorithm to locate and size damage in structures using few modal responses of the structures is summarized. Next, methods to quantify model uncertainty and the damage detection accuracy are formulated. In the second part, a methodology to assess the effect of model uncertainty on the damage detection accuracy of real structures is designed. In the last part, the feasibility of the assessment methodology is demonstrated by using a plate-girder bridge for which only information on a single mode is available.

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Developing An Evaluation Methodology of ERP System AHP Approach (AHP 접근 방법을 통한 ERP 시스템 평가방법론 개발)

  • 김진수;임세헌;이상헌
    • Proceedings of the Korea Database Society Conference
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    • 2002.10a
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    • pp.163-176
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    • 2002
  • 정보화에 대한 관심이 지속적으로 증대됨에 따라 많은 기업이 ERP도입을 적극 추진하고 있다. ERP시스템을 성공적으로 추진하기 위해서는 자사에 적합한 ERP시스템을 도입, 구축할 필요가 있다. 하지만, ERP시스템에 대한 체계적인 평가방법론이 부족하여 전문인력이 부족한 중소기업들은 자사에 적합한 ERP선정에 어려움을 겪고 있다. 따라서, 본 연구의 목적은 ERP 시스템을 보다 객관적이고 체계적으로 평가할 수 있는 방법론을 개발하여 중소기업들이 보다 효과적으로 자사에 적합한 ERP시스템을 선정할 수 있도록 지원하는데 있다. 문헌연구를 통하여 ERP 시스템 평가요인을 도출하였으며 각 요인들의 가중치를 결정하기 위하여 ERP컨설턴트를 대상으로 AHP 방식을 적용, 설문조사를 실시하였다. 설문조사 결과를 토대로 실무에서 적용 가능한 평가방법론을 개발하였다. 평가방법론을 통하여 ERP를 도입하고자 하는 기업들은 대상업체의 솔루션을 보다 체계적으로 평가하여 자사에 적합한 ERP를 도입하는데 크게 도움을 받을 것으로 기대된다.

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A Stochastic Model for the Nuclide Migration in Geologic Media Using a Continuous Time Markov Process (연속시간 마코프 프로세스를 이용한 지하매질에서의 통계적 핵종이동 모델)

  • Lee, Y.M.;Kang, C.H.;Hahn, P.S.;Park, H.H.;Lee, K.J.
    • Nuclear Engineering and Technology
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    • v.25 no.1
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    • pp.154-165
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    • 1993
  • A stochastic method using continuous time Markov process is presented to model the one-dimensional convective nuclide transport in geologic media, which have usually heterogeneous feature in physical/geochemical parameters such as velocity, dispersion coefficient, and retardation factor resulting poor description by conventional deterministic advection-dispersion model. The primary desired quantities from a stochastic model are the mean values and variance of the state variables as a function of time. The time-dependent probability distributions of nuclides are presented for each discretized compartment given the volumetric groundwater flux and the intensity of transition. Since this model is discrete in medium space, physical/geochemical parameters which affect nuclide transport can be easily incorporated for the heterogeneous media as well as remarkably layered media having spatially varied parameters. Even though the Markov process model developed in this study was shown to be sensitive to the number of discretized compartments showing numerical dispersion as the number of compartments are increased, this could be easily calibrated by comparing with the analytical deterministic model.

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월성원전 부지의 가을철 방사성 물질의 대기확산인자 분포 특성

  • 이갑복;이명찬;송영일
    • Proceedings of the Korean Nuclear Society Conference
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    • 1998.05b
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    • pp.665-670
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    • 1998
  • 삼차원 해륙풍 모델과 라그랑지안 입자확산모델을 이용하여 해안지역에 위치한 원전으로부터 정상운전시 장기적으로 연속 방출되는 방사성 물질의 대기확산 평가방법론을 개발하였다. 개발된 방법론을 적용하여 월성원전 부지를 대상으로 풍향, 풍속 및 운량에 따라 범주화된 각 종관기상 상태에 대해 가을철 방사성 물질 대기확산 특성을 분석하였다. 분석 결과, 방사성 물질의 계절 또는 연중 핑균적인 대기확산인자의 분포는 종관바람 둥과 같은 주풍의 발생빈도에 영향을 받을 뿐만 아니라, 해륙풍 등과 같은 국지 대기순환의 특성에 따라서도 그 분포특성이 결정됨을 알 수 있었다.

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A Designing Method of Software Architecture for Information Security Business Model Selection using BMO Technique Base (BMO기법을 활용한 정보보안 비즈모델 평가시스템 소프트웨어 아키텍쳐 설계방법)

  • Noh, Si Choon
    • Convergence Security Journal
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    • v.13 no.3
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    • pp.71-77
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    • 2013
  • In our country security industry biz model analysis methodology fragmentary theory exists, but it is hard to find a comprehensive analysis methodology. Biz model analysis IT companies the external factors and internal factors to integrate the information gathered about the comprehensive analysis of the development of an information system are required. Information support system early in the software architecture of the system design decisions early decision as the design, development, testing, maintenance, has a lasting impact on the project as a guideline in the development of a framework of design abstraction. BMO evaluation support information systems architecture designs system purposes. The mission must support the execution. Information system stakeholders to determine the mission and the environment. All information systems architecture shall have architecture. Technology architecture should be documented with each other can be used. Determine the architecture based architecture descriptions are presented.

Probabilistic Remaining Life Assessment Program for Creep Crack Growth (크리프 균열성장 모델에 대한 확률론적 수명예측 프로그램)

  • Kim, Kun-Young;Shoji, Tetsuo;Kang, Myung-Soo
    • Journal of the Korean Society for Precision Engineering
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    • v.16 no.6
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    • pp.100-107
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    • 1999
  • This paper describes a probabilistic remaining life assessment program for the creep crack growth. The probabilistic life assessment program is developed to increase the reliability of life assessment. The probabilistic life assessment involves some uncertainties, such as, initial crack size, material properties, and loading condition, and a triangle distribution function is used for random variable generation. The resulting information provides the engineer with an assessment of the probability of structural failure as a function of operating time given the uncertainties in the input data. This study forms basis of the probabilistic life assessment technique and will be extended to other damage mechanisms.

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Command and control modeling for computer assisted exercise (훈련시뮬레이션에서의 지휘통제 모델링)

  • Yun, Woo-Seop;Han, Bong-Gyu;Lee, Tae-Eog
    • Journal of the Korea Society for Simulation
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    • v.25 no.4
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    • pp.117-126
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    • 2016
  • We suggest the C2 modeling method to develop a simulation model for training command groups which consist of commanders and staffs. By using C2 models in constructive simulation models, combat entities or units directly receive and execute orders from a command group without mediating human role players. We also compare combat results from suggested modeling method with the results of existing models by building and implementing a simulation model with C2 models. Our analysis by comparison demonstrates advantages of suggested method to model C2 for computer assisted exercises.

Development of Profitability-forecasting Model for Apartment Reconstruction Projects using the Probabilistic Risk Analysis (확률적 위험도 분석 모형을 이용한 아파트 재건축사업의 수익성예측모델 개발)

  • Woo, Kwang-Min;Lee, Hak-Ki
    • Proceedings of the Korean Institute Of Construction Engineering and Management
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    • 2007.11a
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    • pp.54-59
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    • 2007
  • Recently, Apartment Reconstruction Projects are performing only with the basis of profitability without establishing either certain criteria or standard guideline. In addition, the profitability information contained in a disposal plan tends to be considered as a fixed value, and it is frequently changeable because reconstruction projects have such a long time to complete and many participants with respective interests. As mentioned above, the new approach needs to be developed which covers the limitation of the unvaried one. Consequently, this study focuses on the probability approach considering not only variances that affect the profit, but the relationship between profit and risk, and then is modeling. This study is anticipated to improve the reliability and accuracy of expected value as well as apply to the decision making criteria quantitively about potentially hidden risks in that projects.

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An Automated Approach to Determining System's Problem based on Self-healing (자가치유 기법을 기반한 시스템 문제결정 자동화 방법론)

  • Park, Jeong-Min;Jung, Jin-Soo;Lee, Eun-Seok
    • The KIPS Transactions:PartD
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    • v.15D no.2
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    • pp.271-284
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    • 2008
  • Self-healing is an approach to evaluating constraints defined in target system and to applying an appropriate strategy when violating he constrains. Today, the computing environment is very complex, so researches that endow a system with the self-healing's ability that recognizes problem arising in a target system are being an important issues. However, most of the existing researches are that self-healing developers need much effort and time to analyze and model constraints. Thus, this paper proposes an automated approach to determine problem arising in external and internal system environment. The approach proposes: 1) Specifying the target system through the models created in design phase of target system. 2) Automatically creating constraints for external and internal system environment, by using the specified contents. 3) Deriving a dependency model of a component based on the created internal state rule. 4) Translating the constraints and dependency model into code evaluating behaviors of the target system, and determinating problem level. 5) Monitoring an internal and external status of system based on the level of problem determination, and applying self-healing strategy when detecting abnormal state caused in the target system. Through these, we can reduce the efforts of self-healing developers to analyze target system, and heal rapidly not only abnormal behavior of target system regarding external and internal problem, but also failure such as system break down into normal state. To evaluate the proposed approach, through video conference system, we verify an effectiveness of our approach by comparing proposed approach's self-healing activities with those of the existing approach.

Slope Stability Analysis Using the Genetic Algorithm (유전자 알고리즘을 이용한 사면안정 해석)

  • 신방웅;백승철;김홍택;황정순
    • Journal of the Korean Geotechnical Society
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    • v.18 no.6
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    • pp.117-127
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    • 2002
  • A deterministic approach of slope stability, which is generally corresponding to the model of a simple non-linear function for slopes, is problematic in that it does not account the versatile characteristics of ground layers in an effective way. To resolve this problem, this study proposes a new way of analyzing slope stability, so-called “genetic algorithm method, ” so as to reflect some particular conditions pertaining to the grounds under concern. Similarities and differences in slope stability that may exist between homogeneous and multiple ground layers are examined in a competitive manner, Overall, though similarities deemed a little bit salient, the algorithm method turned out to be very applicable to estimating the validity of slope stability. Furthermore, an additional effort to consider long-standing sequential and dynamic changes in both the amount of rainfall and the underground water level is made in order to improve the results.