• 제목/요약/키워드: Estimation Methodology

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고속 VLSI회로에서 전송선의 지연시간 모델 (The Propagation Delay Model of the Interconnects in the High-Speed VLSI circuit)

  • 윤성태;어영선
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 1999년도 추계종합학술대회 논문집
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    • pp.975-978
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    • 1999
  • The transmission line effects of IC interconnects have a substantial effect on a hish-speed VLSI circuit performance. The effective transmission lime parameters are changed with the increase of the operation frequency because of the skin of the skin effect, proximity effect, and silicon substrate. A new signal delay estimation methodology based on the RLC-distributed circuit model is presented [2]. The methodology is demonstrated by using SPICE simulation and a high-frequency experiment technique.

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혼잡에 의한 시장지배력 산정 방안 (Estimation of Local Market Power under Transmission Congestion)

  • 이동진;신영균;정구형;김발호
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2003년도 추계학술대회 논문집 전력기술부문
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    • pp.494-496
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    • 2003
  • Transmission congestion is one of the key factors to local market power in competitive electricity markets. This paper presents an alternative methodology in estimating market power under transmission congestion. The proposed methodology was demonstrated with the Optimal Power Flow(OPF).

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터널공사에서의 안전영향평가의 적용 (The Application of Safety Impact Assessment to Tunnel Construction)

  • 김병식;최봉준;서종원
    • 한국방재학회:학술대회논문집
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    • 한국방재학회 2008년도 정기총회 및 학술발표대회
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    • pp.545-548
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    • 2008
  • In this study, the concept of safety impact assessment to achieve 'Design-for-Safety' in design phase is introduced. For this purpose, safety impact assessment model was devised and a methodology using the risk-based safety impact assessment approach for NATM of tunnel projects is suggested. The suggested methodology includes safety information survey, classification of safety impact factors caused by design and construction, and quantitative estimation of magnitude and frequency of safety impact factors. A real-world case study on the safety impact assessment of a tunnel construction project is also provided in the paper.

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고속도로를 대상으로 한 재차인원별 O/D 구축방법론 연구 (An Occupancy based O/D Data Construction Methodology for Expressway Network)

  • 최기주;이정우;이용주;백승걸
    • 대한토목학회논문집
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    • 제30권6D호
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    • pp.569-575
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    • 2010
  • 재차인원의 파악은 HOV 차로 및 HOT 차로 정책의 효과 분석뿐만 아니라, 램프미터링, 공공주차장 운영 등 다양한 부분에 대한 핵심적 입력변수이다. 재차인원에 대한 조사 방법과 TCS (Toll Collection System) 자료를 이용한 O/D 구축방법은 개별적으로 기존 연구에서 많이 수행되어 왔지만, TCS 자료를 이용한 재차인원별 O/D 구축에 대한 연구는 전무한 실정이다. 본 연구는 재차인원 정보가 추가된 TCS 자료를 조사하여 수단별 O/D를 산출하는 과정을 자료조사부터 구축과정에 대한 제반 방법론으로 제시하였다. 특정 영업소(서울 영업소) 진출 방향에 대하여 특정일에 오전 첨두, 오후 비첨두, 오후 첨두, 심야 각 2시간씩 승용차, 버스, 트럭으로 구분된 차량에 대하여 재차인원 조사(노측 조사)를 실시한 후 톨부스, 차종, 도착시간을 기준으로 매칭과정을 거쳐 해당 날짜의 TCS 자료에 재차인원 정보를 추가하여 재차인원별 O/D를 구축하였다. 한 예로써 구축 결과 오전 첨두시 서울로 향하는 나홀로 차량이 약 60%에 이르는 것으로 나타났다. 이러한 방법론은 TCS 자료를 이용한 특정 O/D 구축 방법론과 연계할 경우, 전국 센트로이드간 재차인원별 O/D 산출도 가능할 것으로 판단되며 재차인원 정보를 요구하는 교통정책의 수립에 활용되어 질 수 있을 것으로 판단된다.

Comparison of Nonparametric Maximum Likelihood and Bayes Estimators of the Survival Function Based on Current Status Data

  • Kim, Hee-Jeong;Kim, Yong-Dai;Son, Young-Sook
    • Communications for Statistical Applications and Methods
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    • 제14권1호
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    • pp.111-119
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    • 2007
  • In this paper, we develop a nonparametric Bayesian methodology of estimating an unknown distribution function F at the given survival time with current status data under the assumption of Dirichlet process prior on F. We compare our algorithm with the nonparametric maximum likelihood estimator through application to simulated data and real data.

Semiparametric Bayesian Estimation under Structural Measurement Error Model

  • Hwang, Jin-Seub;Kim, Dal-Ho
    • Communications for Statistical Applications and Methods
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    • 제17권4호
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    • pp.551-560
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    • 2010
  • This paper considers a Bayesian approach to modeling a flexible regression function under structural measurement error model. The regression function is modeled based on semiparametric regression with penalized splines. Model fitting and parameter estimation are carried out in a hierarchical Bayesian framework using Markov chain Monte Carlo methodology. Their performances are compared with those of the estimators under structural measurement error model without a semiparametric component.

적정 용수 공급량 산정를 위한 추계학적 저수용량 모델 (Stochastic Reservoir Model for the Estimation of Optimal Water Supply)

  • 장인수;박정규;유일준
    • 한국환경보건학회지
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    • 제21권1호
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    • pp.29-38
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    • 1995
  • The purpose of this study is to improve the present methodology-for the estimation of optimal water supply from an impounding reservoir. The stochastic reservoir storage model presented in this paper is believed to be rational in that. the probability of reservoir depletion (return period) is to be calculated for the various monthly demands and storage capacities. The monthly flows are used to derive the reservoir storage capacity-monthly demand-probability curves at Dalcheon damsite and Hongcheon damsite in Han river basin.

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DIRECTIONAL LOG-DENSITY ESTIMATION

  • Huh, Jib;Kim, Peter T.;Koo, Ja-Yong;Park, Jin-Ho
    • Journal of the Korean Statistical Society
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    • 제33권3호
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    • pp.255-269
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    • 2004
  • This paper develops log-density estimation for directional data. The methodology is to use expansions with respect to spherical harmonics followed by estimating the unknown parameters by maximum likelihood. Minimax rates of convergence in terms of the Kullback-Leibler information divergence are obtained.

Semiparametric Bayesian estimation under functional measurement error model

  • Hwang, Jin-Seub;Kim, Dal-Ho
    • Journal of the Korean Data and Information Science Society
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    • 제21권2호
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    • pp.379-385
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    • 2010
  • This paper considers Bayesian approach to modeling a flexible regression function under functional measurement error model. The regression function is modeled based on semiparametric regression with penalized splines. Model fitting and parameter estimation are carried out in a hierarchical Bayesian framework using Markov chain Monte Carlo methodology. Their performances are compared with those of the estimators under functional measurement error model without semiparametric component.

Estimation in Mixture of Shifted Poisson Distributions with Known Shift Parameters

  • Lee, Hyun-Jung;Oh, Chang-Hyuck
    • Journal of the Korean Data and Information Science Society
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    • 제17권3호
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    • pp.785-794
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    • 2006
  • Suggested is an EM algorithm for estimation in mixture of shifted Poisson distributions with known shift parameters. For this type of mixture distribution, we have to utilize values of shift parameters to determine whether each of data belongs to some component distribution. We propose a method of estimating values of component information and then follow typical EM methodology. Simulation results show that the algorithm provides reasonable performance for the distribution.

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