• Title/Summary/Keyword: 가중값

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EWMA control charts for monitoring three parameter regions (3개의 모수영역을 모니터링하는 EWMA 관리도)

  • Yukyung, Kim;Jaeheon, Lee
    • The Korean Journal of Applied Statistics
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    • v.35 no.6
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    • pp.725-737
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    • 2022
  • In the standard assumption of statistical process monitoring (SPM) under consideration, the in-control region of the control parameter of quality characteristic consists of a single point. However, if small deviations from the ideal situation may not be of practical importance, the parametric space can consist of three regions: In-control, indifference, and out-of-control. In this paper, we propose two exponentially weighted moving average (EWMA) charting procedures applicable to the situation with three parameter regions, and compare the efficiency of the proposed procedures with the Shewhart chart and the cumulative sum (CUSUM) chart.

Data Department Linear Combination of Weighted Order Statistics(DD-LWOS) Filtering Based on Local Statistics (국부 통계를 기반으로 한 가중차수 통계의 데이터 의존 선형조합 필터링(DD-LWOS))

  • 박동희;배철수
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.6 no.4
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    • pp.639-644
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    • 2002
  • Nonlinear filters which are utilized rank-order information and temporal-order information, have many proposed, in order to restore nonstationary signals which are corrupted by additive noise. In this paper, we propose a data-dependent LWOS filter whose coefficients change based on local statistics. LWOS(Linear Combination of Weighted Order Statistics) filters[1]which also utilized two informations, and have properties of efficient impulsive and nonimpulsive noise attenuation and sufficiently details and edges preservation. DD-LWOS filters can remove non-impulsive oises while preserving signal details. DD-LWOS2 filter gets more better performance than DD-LWOS filter when input image corrupted by additive noise which includes Impulsive noise components.

Adaptive Residual DPCM using Weighted Linear Combination of Adjacent Residues in Screen Content Video Coding (스크린 콘텐츠 비디오의 압축을 위한 인접 화소의 가중 합을 이용한 적응적 Residual DPCM 기법)

  • Kang, Je-Won
    • Journal of Broadcast Engineering
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    • v.20 no.5
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    • pp.782-785
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    • 2015
  • In this paper, we propose a novel residual differential pulse-code modulation (RDPCM) coding technique to improve coding efficiency of screen content videos. The proposed method uses a weighted combination of adjacent residues to provide an accurate estimate in RDPCM. The weights are trained in previously coded samples by using an L1 optimization problem with the least absolute shrinkage and selection operation (LASSO). The proposed method achieves BD-rate saving about 3.1% in all-intra coding.

Generalized Weighted Linear Models Based on Distribution Functions - A Frequentist Perspective (분포함수를 기초로 일반화가중선형모형)

  • 여인권
    • The Korean Journal of Applied Statistics
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    • v.17 no.3
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    • pp.489-498
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    • 2004
  • In this paper, a new form of linear models referred to as generalized weighted linear models is proposed. The proposed models assume that the relationship between the response variable and explanatory variables can be modelled by a distribution function of the response mean and a weighted linear combination of distribution functions of covariates. This form addresses a structural problem of the link function in the generalized linear models in which the parameter space may not be consistent with the space derived from linear predictors. The maximum likelihood estimation with Lagrange's undetermined multipliers is used to estimate the parameters and resampling method is applied to compute confidence intervals and to test hypotheses.

Regularized Modified Newton-Raphson Algorithm for Electrical Impedance Tomography Based on the Exponentially Weighted Least Square Criterion (전기 임피던스 단층촬영을 위한 지수적으로 가중된 최소자승법을 이용한 수정된 조정 Newton-Raphson 알고리즘)

  • Kim, Kyung-Youn;Kim, Bong-Seok
    • Journal of IKEEE
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    • v.4 no.2 s.7
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    • pp.249-256
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    • 2000
  • In EIT(electrical impedance tomography), the internal resistivity(or conductivity) distribution of the unknown object is estimated using the boundary voltage data induced by different current patterns using various reconstruction algorithms. In this paper, we present a regularized modified Newton-Raphson(mNR) scheme which employs additional a priori information in the cost functional as soft constraint and the weighting matrices in the cost functional are selected based on the exponentially weighted least square criterion. The computer simulation for the 32 channels synthetic data shows that the reconstruction performance of the proposed scheme is improved compared to that of the conventional regularized mNR at the expense of slightly increased computational burden.

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Modified Weighting Model Rank Method for Improving the Performance of Real-Time Text-Independent Speaker Recognition System (실시간 문맥독립 화자인식 시스템의 성능향상을 위한 수정된 가중모델순위 결정방법)

  • Kim Min-Joung;Oh Se-Jin;Suk Su-Young;Chung Ho-Youl;Chung Hyun-Yeol
    • Proceedings of the Acoustical Society of Korea Conference
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    • spring
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    • pp.107-110
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    • 2002
  • 현재까지 개발된 화자식별 시스템 중 가중모델순위(Weighting Model Rank; WMR)방법을 이용한 화자인식 시스템이 비교적 높은 인식성능을 나타내고 있다. WMR 방법은 각 화자에 대한 프레임 유사도의 순위에 따라 지수함수 가중치로 대치시키는 방법을 사용하고 있으나, 이 방법은 유사도 본래의 변별력이 전체 계산에서 고려되지 않는 문제가 있었다. 이를 해결하기 위해 본 논문에서는 각 화자의 프레임 유사도와 지수함수를 이용한 가중치를 곱한 값을 이용하여 전체 스코어를 계산하도록 하는 수정된 가중모델 순위방법(Modified Weighting Model Rank; MWMR)을 제안한다. 제안한 방법의 유효성을 확인하기 위하여 316명의 화자를 대상으로 하여 인식실험을 실시한 결과, 학습 프레임이 10,000일 경우, MWMR 방법에서 $98.1\%$의 화자 인식률을 얻어 WMR 방법에 비해 약 $2.0\%$의 향상된 인식결과를 보여 제안한 방법의 유효성을 확인할 수 있었다.

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Development of Pollutant Load Estimation System for Hydrologic Component, WAPLE4 (수문컴포넌트별 오염부하 산정이 가능한 WAPLE4의 개발)

  • Jeong, Yeon Ji;Jeong, Yeon Seok;Lee, Seo Ro;Yang, Dong Seok;Lee, Gwan Jae;Choi, Yong Hun;Lim, Kyoung Jae
    • Proceedings of the Korea Water Resources Association Conference
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    • 2022.05a
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    • pp.192-192
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    • 2022
  • 하천유량은 기저유량과 직접유량으로 구성되어 있으며 기저유량은 갈수기 하천유량의 대부분을 차지하므로 직접유출과 기저유출의 분리는 중요하다. 또한, T-N, T-P는 기저유출에 영향을 많이 받는 수질 항목으로 기저유출과 직접유출에 의한 오염부하량을 정확히 분석해야한다. 따라서, 기저유출의 오염부하량 산정을 위해 기존의 WAPLE 2의 단점을 개선한 WAPLE 3가 개발되었으며, WAPLE 3는 유량 곡선의 하강부 변곡점에 붙는 특성을 가지고 있는 Baseflow filter program(BFlow) pass 1값을 사용하여 기저유량을 분리해 기저유출 오염부하량을 산정한다. WAPLE 3는 하천유량 중 기저유출을 어느 정도 분리하는지 결정하는 filter parameter 값을 Nathan과 McMahon가 제시한 최적값인 0.925를 사용하였다. 그러나 지형과 강우량 등에 따라 하천 유량에서의 기저유출 비율은 달라지기 때문에 이러한 한계점을 극복하기 위해 WAPLE 4를 개발하였다. WAPLE 4는 filter parameter 값을 사용자가 변경할 수 있게 개발하여 강우에 의한 유량변동 특정이 고려된 기저유량 및 오염부하를 산정하여 결과에 대한 정확도를 높였다. 또한, WAPLE 4는 강우시 오염부하량 산정에 탁월한 Numeric Integration(NI) 방법을 사용하여 직접유량, 기저유량의 오염부하량 및 유량가중평균농도(FWMC) 산정이 가능하도록 하였다. 본 연구의 결과는 오염총량제 및 기저유량 관리를 통한 유량 관련 정책 수립 시 기초자료로 활용될 수 있을 것으로 판단된다.

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Study on Physiological Summation in Peripheral Retina for Eccentric Viewing Training (중심외주시 훈련용 주변부 망막의 생리적 가중에 관한 연구)

  • Seo, Jae-Myoung;Lee, Ki-Young
    • Journal of Korean Ophthalmic Optics Society
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    • v.18 no.4
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    • pp.489-493
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    • 2013
  • Purpose: This study was to investigate peripheral vision and provide people with macular degeneration with a guideline for eccentric viewing training. Methods: 30 adult subjects with normal vision took part in this study. The lateral area of $20^{\circ}$ eccentricity from the fovea of right eye was only used to measure the physiological summation. The target was sinusoidal vertical gratings within a circular aperture. The critical points in spatial and temporal summation was found to compare each other for 0.7 cpd and 3.0 cpd, respectively. Results: Critical duration and contrast sensitivity for 0.7 cpd were 540 ms and 1.1, and 315 ms and 0.98 for 3.0 cpd respectively. The critical degrees and contrast sensitivity for 0.7 cpd were $11.3^{\circ}$ and 2.8, and $5^{\circ}$ and 2.63 for 3.0 cpd respectively. Conclusions: The critical point in peripheral vision reaches relatively faster than the one in central vision. It is recommended to train the peripheral retina under the lower spatial frequency more frequently for a short time than constantly for a long time.

Design-based Properties of Least Square Estimators in Panel Regression Model (패널회귀모형에서 회귀계수 추정량의 설계기반 성질)

  • Kim, Kyu-Seong
    • Survey Research
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    • v.12 no.3
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    • pp.49-62
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    • 2011
  • In this paper we investigate design-based properties of both the ordinary least square estimator and the weighted least square estimator for regression coefficients in panel regression model. We derive formulas of approximate bias, variance and mean square error for the ordinary least square estimator and approximate variance for the weighted least square estimator after linearization of least square estimators. Also we compare their magnitudes each other numerically through a simulation study. We consider a three years data of Korean Welfare Panel Study as a finite population and take household income as a dependent variable and choose 7 exploratory variables related household as independent variables in panel regression model. Then we calculate approximate bias, variance, mean square error for the ordinary least square estimator and approximate variance for the weighted least square estimator based on several sample sizes from 50 to 1,000 by 50. Through the simulation study we found some tendencies as follows. First, the mean square error of the ordinary least square estimator is getting larger than the variance of the weighted least square estimator as sample sizes increase. Next, the magnitude of mean square error of the ordinary least square estimator is depending on the magnitude of the bias of the estimator, which is large when the bias is large. Finally, with regard to approximate variance, variances of the ordinary least square estimator are smaller than those of the weighted least square estimator in many cases in the simulation.

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Analysis of the Visual Function in low Vision Patients and Normals in Canada, Using Contrast Sensitivity (대비감도를 사용한 캐나나 내 저시력 환자와 정상인의 시기능 분석)

  • Seo, Jae Myung
    • Journal of Korean Ophthalmic Optics Society
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    • v.14 no.3
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    • pp.83-88
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    • 2009
  • Purpose: It is said that persons with low vision (LV) require larger object and longer exposure time to make a visual judgment. The spatial summation stands for the increasing of contrast sensitivity (CS), as the target size is enlarged. Likewise, the term temporal summation is used when the CS increases as the exposure duration is extended. The present study investigates whether or not greater target and longer exposure duration is required for LV subjects than for control subjects. Methods: Twenty subjects with LV and twenty age-matched controls took part in the study. The CS was measured with a 2 alternative forced choice stair case for 0.7 and 3.0 cycle per degree (c/d) static sinusoidal gratings within a circular aperture. The results were analyzed by mixed ANOVA (2${\times}$2). Results: As expected, the CS in the LV group were overall depressed. For spatial summation, mixed ANOVA (2 groups${\times}$2 spatial frequencies) gave p values of 0.13 for the effect of group, 0.14 for spatial frequency and there was no interaction (p=0.59). Similarly, for temporal summation the results were p=0.19 for group, 0.31 for spatial frequency and p=0.95 for interaction. Conclusions: Despite the depression of CS in the LV group, a significant difference for spatial and temporal summation between two subject groups was not reached.

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