• Title/Summary/Keyword: Model

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A Study on increasing the fitness of forecasts using Dynamic Model (동적 모형에 의한 예측치의 정도 향상에 관한 연구)

  • 윤석환;윤상원;신용백
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.19 no.40
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    • pp.1-14
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    • 1996
  • We develop a dynamic demand forecasting model compared to regression analysis model and AutoRegressive Integrated Moving Average(ARIMA) model. The dynamic model can apply to the current dynamic data to forecasts through introducing state equation. A multiple regression model and ARIMA model using given data are designed via the model analysis. The forecasting fitness evaluation between the designed models and the dynamic model is compared with the criterion of sum of squared error.

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An Optimal Allocation Model for SAM-X (차기유도무기의 최적배치에 관한 모형)

  • 김승빈;전건욱
    • Journal of the military operations research society of Korea
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    • v.30 no.1
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    • pp.48-69
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    • 2004
  • An optimal allocation model for SAM-X by using a set covering model is suggested. This allocation model considers to guarantee the maximum security of vital areas from the attack of enemy aircraft(s) and missiles. In order to formulate this model, we applied the concept of parallel structure reliability to set covering model. This model gives both direction of the primary target line and location of the facility. When applied this model to the real situation, the solution of this model can be used to the references of decision making for the optimal military facility allocation.

Sufficient Conditions for Stationarity of Smooth Transition ARMA/GARCH Models

  • Lee, Oe-Sook
    • Journal of the Korean Data and Information Science Society
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    • v.18 no.1
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    • pp.237-245
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    • 2007
  • Nonlinear asymmetric time series models have the growing interest in econometrics and finance. Threshold model is one of the successful asymmetric model. We consider a smooth transition ARMA model which converges a.s. to a threshold ARMA model and show that the smooth transition ARMA model admits a stationary measure, provided a suitable condition on the coefficients of the autoregressive parts of the different regimes is satisfied. Stationarity of a smooth transition GARCH model is also obtained.

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A Study on Analysis of Time Delay Model Using Autoregressive Method for Mobile Communication Channels (AR 모델을 이용한 이동 통신 채널의 시간 지연 해석기법에 관한 연구)

  • 이형권;류은숙;이종길
    • Proceedings of the IEEK Conference
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    • 1999.06a
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    • pp.29-32
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    • 1999
  • In this study, the time delay model were simulated using the well-known AR model. Frequency response of the time delay model can be obtained by mapping AR model to JTC model in the time domain. That is, from the few measurement data in JTC model, the channel frequency response can be obtained by the estimation of AR model parameters. From this channel frequency response, the time delay model can be obtained using Fourier transformation. To prove the validity of the suggested method, three models of JTC were shown and analyzed.

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Modification of Miller-Holzworth model for Korea (국내 적용을 위한 Miller-Holzworth 모델의 수정)

  • 장영기
    • Journal of Korean Society for Atmospheric Environment
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    • v.11 no.3
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    • pp.299-302
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    • 1995
  • Many air quality models have been used for Environmental impact assessments. Miller-Holzworth model suggested by Holzworth is a simple air quality model is frequently used for air quality assessments in korea. Miller-Holzworth model suggested by Holzworth is a simple air quality model for the ground-level area source, The model estimates the pollutants concentration averaged over the wind centerline. An error involved in the Miller-Holzworth model was first indentified by Calder in 1977. But the model has been used without correction for unsuitable cases in Korea. This paper corrected that error and modified model formulation for application to urban and rural areas.

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A Conditional Randomized Response Model for Detailed Survey

  • Lee, Gi-Sung;Hong, Ki-Hak
    • Communications for Statistical Applications and Methods
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    • v.7 no.3
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    • pp.721-729
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    • 2000
  • In this paper, we propose a new conditional randomized response model that has improved the Carr et al.'s model in view of he variance and the protection of privacy of respondents. We show that he suggested model is more effective and protective than the Loynes' model and Carr et al.' model.

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A Study for Integrated Component Meta-model for Component Design in CBD (CBD 상에서 컴포넌트 설계를 위한 통합 컴포넌트 메타 모델에 관한 연구)

  • 조은숙
    • Journal of the Korea Society for Simulation
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    • v.12 no.3
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    • pp.95-102
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    • 2003
  • Lately CBD methodologies like as CBD96, Catalysis, Fusion, and SCIPIO have been introduced. These methodologies has their own proprietary component reference model. Using proprietary reference model falls interoperability among methodologies. Furthermore it can cause confusion and difficulty for component developers, In this paper, we propose a integrated component meta-model for support consistency and interoperability among component designs. Also, we compare our proposed meta model to existing component reference model by using component's characteristics. We expect that it is easy to add new meta model elements and extends meta-model by using integrated component meta-model.

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A Design On RUP based Data Model (RUP 기반의 Data Model 설계)

  • 최창민;김천식;정정수
    • Proceedings of the Korea Multimedia Society Conference
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    • 2003.05b
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    • pp.154-158
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    • 2003
  • RUP의 Unified Process Model에는 Use Case Model, Analysis Model, Design Model, Deployment Model, Implementation model, Test Model의 6가지 모델이 있다. 이 모델들은 모두 일관성이 있다. 한 모델에서 나오는 요소들은 전, 후 단계에서 다른 모델들과 Trace Dependencies를 갖는다. 이러한 관계들은 각각의 요소들 사이의 진행, 기록 관계를 나타낸다 그러나 일반적인 데이터간의 관계와 데이터 모델 설계는 이러한 관계없이 설계되어져 전체적인 일관성을 이루지 못 하였다 본 논문에서는 이러한 관계를 유지하면서 요구사항에 맞는 데이터 모델을 설계하고자 한다. 따라서 본 논문에서는 대학 종합정보시스템 구축의 일부분인 자산관리 시스템을 분석하여 데이터 모델을 제시한다.

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Input-Output Feedback Linearizing Control With Parameter Estimation Based On A Reduced Design Model

  • Noh, Kap-Kyun;Dongil Shin;Yoon, En-Sup
    • 제어로봇시스템학회:학술대회논문집
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    • 2001.10a
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    • pp.87.2-87
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    • 2001
  • By the state transformation including independent outputs functions, a nonlinear process model can be decomposed into two subsystems; the one(design model) is described in output variables as new states and used for control system synthesis and the other(disturbance model) is described in the original unavailable states and its couplings with the design model are treated as uncertain time-varying parameters in the design model. Its existence with respect to the design model is ignored. So, the design model is an uncertain time-variant system. Control synthesis based on a reduced design model is a combined ...

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The Application of Various Forest Resource Planning Models to Forest Management in Korea -Model I vs. Model II- (삼림경영계획(森林經營計劃)모델의 적용성연구(適用性硏究) -Model I 대 Model II-)

  • Kwon, O Bok;Chang, Cheol Su
    • Journal of Korean Society of Forest Science
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    • v.77 no.4
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    • pp.389-400
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    • 1988
  • The recent trend in multiple-use land management planning is using Model I and Model II formulations designed for timber activity scheduling problems. Numerous models hate been developed, with MUSYC(Johnson and Jones, 1979) being the first to incorporate both model structures. Currently the most popular computer program using both Model I and Model II is FORPLAN(Johnson and others, 1986). A Model I formulation requires fewer rows and provides more direct information on what happens to an acre from rotation to rotation. In some problems, Model II provides a much more compact problem matrix with much fewer columns and only a moderate increase in row number. In this paper we examined and evaluated their usefulness in comprehensive multiresource forest management planning.

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