• 제목/요약/키워드: Estimation Methods

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물체지향 부화화에서 계층적 구조를 이용한 결합형 변환 파라미터 추정 기법에 의한 움직임 검출 및 보상 (Motion detection and compensation in object-oriented coding based on combined mapping parameter estimation using hierarchical structure)

  • 이창범;김준식;박래홍
    • 전자공학회논문지A
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    • 제33A권3호
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    • pp.163-175
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    • 1996
  • This paper invetigates estimation methods of mapping parameters in object-oriented coding. In this paper, we propose a fast parameter estimation method with its performance similar to that of the conventional methods. We employ hierarchical structure in difference images to redcue the computational complexity and also combine conventional six- and eight-mapping parameter estimation methods to compensate for the performance degradation caused by employment of hierarchical structure. Computer simulation shows that the proposed mehtod gives results similar to conventional methods with greatly reduced computational complexity.

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모델링 오차를 고려한 교량의 손상추정 (Damage Detection for Bridges Considering Modeling Errors)

  • 윤정방;이종재;이종원;정희영
    • 한국전산구조공학회:학술대회논문집
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    • 한국전산구조공학회 2002년도 봄 학술발표회 논문집
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    • pp.300-307
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    • 2002
  • Damage estimation methods are classified into two groups according to the dependence on the FE model : signal-based and model-based methods. Signal-based damage estimation methods are generally appropriate for detection of damage location, whereas not effective for estimation of damage severities. Model-based damage estimation methods are difficult to apply directly to the structures with a large number of the probable damaged members. It is difficult to obtain the exact model representing the real bridge behavior due to the modeling errors. The modeling errors even may exceed the modal sensitivity on damage. In this study, Model-based damage detection method which can effectively consider the modeling errors is suggested. Two numerical example analyses on a simple beam and a multi-girder bridge are presented to demonstrate the effectiveness of the presented method.

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확산모형에 대한 누율생성함수의 근사와 가우도 추정법 (An Approximation of the Cumulant Generating Functions of Diffusion Models and the Pseudo-likelihood Estimation Method)

  • 이윤동;이은경
    • 한국경영과학회지
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    • 제38권1호
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    • pp.201-216
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    • 2013
  • Diffusion is a basic mathematical tool for modern financial engineering. The theory of the estimation methods for diffusion models is an important topic of the financial engineering. Many researches have been tried to apply the likelihood estimation method for estimating diffusion models. However, the likelihood estimation method for diffusion is complicated and needs much amount of computing. In this paper we develop the estimation methods which are simple enough to be compared to the Euler approximation method, and efficient enough statistically to be compared to the likelihood estimation method. We devise pseudo-likelihood and propose the maximum pseudo-likelihood estimation methods. The pseudo-likelihoods are obtained by approximating the transition density with normal distributions. The means and the variances of the distributions are obtained from the delta expansion suggested by Lee, Song and Lee (2012). We compare the newly suggested estimators with other existing estimators by simulation study. From the simulation study we find the maximum pseudo-likelihood estimator has very similar properties with the maximum likelihood estimator. Also the maximum pseudo-likelihood estimator is easy to apply to general diffusion models, and can be obtained by simple numerical steps.

Estimation of geomechanical parameters of tunnel route using geostatistical methods

  • Aalianvari, Ali;Soltani-Mohammadi, Saeed;Rahemi, Zeynab
    • Geomechanics and Engineering
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    • 제14권5호
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    • pp.453-458
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    • 2018
  • Geomechanical parameters are important factors for engineering projects during design, construction and support stages of tunnel and dam projects. Geostatistical estimation methods are known as one of the most significant approach at estimation of Geomechanical parameters. In this study, Azad dam headrace tunnel is chosen to estimate Geomechanical parameters such as Rock Quality Designation (RQD) and uniaxial compressive strength (UCS) by ordinary kriging as a geostatistical method. Also Rock Mass Rating (RMR) distribution is presented along the tunnel. Main aim in employment of geostatistical methods is estimation of points that unsampled by sampled points.To estimation of parameters, initially data are transformed to Gaussian distribution, next structural data analysis is completed, and then ordinary kriging is applied. At end, specified distribution maps for each parameter are presented. Results from the geostatistical estimation method and actual data have been compared. Results show that, the estimated parameters with this method are very close to the actual parameters. Regarding to the reduction of costs and time consuming, this method can use to geomechanical estimation.

Comparison of Two Nondestructive Methods of Leaf Area Estimation

  • Woo, Hyo-Jin;Park, Yong-Mok
    • Journal of Ecology and Environment
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    • 제32권1호
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    • pp.61-65
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    • 2009
  • We compared two nondestructive methods for leaf area estimation using leaves of 16 common plant species classified into six types depending on leaf shape. Relatively good linear relationships between actual leaf area (LA) and leaf length (L), width (W), or the product of length and width (LW) were found for ordinary leaves with lanceolate, oblanceolate, linear and sagitttate shapes with entire margins, serrate margins, mixed margins with a entire form and shallow lobes, and ordinary incised margins. LA was better correlated with LW than L or W, with $R^2$ > 0.91. However, for deeply incised lobes, LA estimation using LW showed low correlation coefficient values, indicating low accuracy. On the other hand, a method using photographic paper showed a good correlation between estimates of area based on the mass of a cut-out leaf image on a photographic sheet (PW) and actual leaf area for all types of leaf shape. Thus, the PW method for LA estimation can be applied to all shapes of leaf with high accuracy. The PW method takes a little more time and has a higher cost than leaf estimation methods using LW based on leaf dimensions. These results indicate that researchers should choose their nondestructive LA estimation method according to their research goals.

불균형 선형혼합모형에서 추정량 (A Comparison of Estimation in an Unbalanced Linear Mixed Model)

  • 송석헌;정병철
    • 응용통계연구
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    • 제15권2호
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    • pp.337-354
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    • 2002
  • 본 논문에서는 오차성분이 계열상관을 갖는 불균형 랜덤모형에서 분산성분의 추정방법에 대하여 연구하였다. 분산성분에 대한 추정량으로 조건부 ANOVA(cANOVA), ML및 REML추정량등을 유도하였으며, 계열상관값과 불균형의 정도에 따른 추정량의 변동성을 추정량의 분위수를 이용하는 EQDGs플롯을 이용하여 비교하였다. 모의실험결과 cANOVA추정방법은 불균형의 정도에는 추정량값이 크게 영향을 받지 않는 것으로 나타났으나 계열상관값의 증가에 따라서는 변동성을 보이고 있다. 불균형의 정도와 계열상관값을 동시에 고려하는 경우에는 ML추정방법이 cANOVA, REML추정방법보다 변동성이 안정적으로 나타났다.

Single Image Fog Removal based on JBDC and Pixel-based Transmission Estimation

  • Kim, Jongho
    • International journal of advanced smart convergence
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    • 제9권3호
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    • pp.118-126
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    • 2020
  • In this paper, we present an effective single image fog removal by using the Joint Bright and Dark Channel (JBDC) and pixel-based transmission estimation to enhance the visibility of outdoor images susceptible to degradation due to weather and environmental conditions. The conventional methods include refinement process of coarse transmission with heavy computational complexity. The proposed transmission estimation reveals excellent edge-preserving performance and does not require the refinement process. We estimate the atmospheric light in pixel-based fashion, which can improve the transmission estimation performance and visual quality of the restored image. Moreover, we propose an adaptive transmission estimation to enhance the visual quality specifically in sky regions. Comprehensive experiments on various fog images show that the proposed method exhibits reduced computational complexity and excellent fog removal performance, compared with the existing methods; thus, it can be applied to various fields including real-time devices.

범함수 정의역 분할에 바탕을 둔 비선형 계층적 움직임 추정기법 (Nonlinear hierarchical motion estimation method based on decompositionof the functional domain)

  • 심동규;박래홍
    • 한국통신학회논문지
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    • 제21권4호
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    • pp.807-821
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    • 1996
  • In this paper, we proposed a nonlinear hierarchical mtion estimation method. Generally, the conventional hierarchical motion estimation methods have been proposed for fast convergence and detection of large motions. But they have a common drawback that large error in motion estimation is propapated across motion discontinuities. This artifiact is due to the constriaint of motion continuity and the linear interpolation of motion vectors between hierarchical levels. In this paper, we propose an effective hierarchical motion estimation mechod that is robust to motion discontinuities. The proposed algorithm is based on the decomposition of the functional domain for optimizing the intra-level motion estimation functional. Also, we propose an inter-level nonlinear motion estimation equation rather than using the conventional linearprojection scheme of motion field. computer simulations with several test sequences show tht the proposed algorithm performs better than several conventional methods.

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약물계량학을 이용한 초기임상1상 시험 용량 예측 방법에 대한 비교연구 (Comparative Study of First-in-Human Dose Estimation Approaches using Pharmacometrics)

  • 백인환
    • 한국임상약학회지
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    • 제26권2호
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    • pp.150-162
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    • 2016
  • Objective: First-in-human dose estimation is an essential approach for successful clinical trials for drug development. In this study, we systematically compared first-in-human dose and human pharmacokinetic parameter estimation approaches. Methods: First-in-human dose estimation approaches divided into similar drug comparison approaches, regulatory guidance based approaches, and pharmacokinetic based approaches. Human clearance, volume of distribution and bioavailability were classified for human pharmacokinetic parameter estimation approaches. Results: Similar drug comparison approaches is simple and appropriate me-too drug. Regulatory guidance based approaches is recommended from US Food and Drug Administration (FDA) and European Medicines Agency (EMA) regarding no-observed-adverse-effect level (NOAEL) or minimum anticipated biological effect level (MABEL). Pharmacokinetic based approaches are 8 approaches for human clearance estimation, 5 approaches for human volume of distribution, and 4 approaches for human bioavailability. Conclusion: This study introduced and compared all methods for first-in-human dose estimation. It would be useful practically to estimate first-in-human dose for drug development.

연 최대 냉방부하의 간접추정 방법론에 관한 연구 (A Study on Indirect Estimating Methods for Yearly Maximum Cooling Load)

  • 양문희
    • 산업공학
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    • 제16권1호
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    • pp.16-26
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    • 2003
  • In Korea, cooling power load, which occupies about 20% of peak load in 2000 and fluctuates depending on the popular usage of air conditioning systems, has been recently the focus of the load management. The first work of KEPCO (Korea Electric Power Corporation) to regulate cooling load as low as possible was to estimate its approximate scale and to develop the indirect methods to estimate it from the available time series data for the average hourly loads. However, KEPCO would like to have their methods improved both theoretically and practically. In this paper, we analyze their current indirect methods and detect their faults to design better indirect estimation methods. Under one of the assumptions of "no cooling load in April or May", the linear relationship between basic loads and GDP's, and the normalized seasonal factors of the Winters' multiplicative seasonal model, we provide ten indirect estimation methods in total and suggest the estimated cooling load(1988-1999) based on our various indirect methods.