• 제목/요약/키워드: combination chart

검색결과 57건 처리시간 0.025초

십자와 적록 조합시표를 이용한 노안 가입도 측정 (Measurements of Presbyopic Addition Using a Combination Chart of Cross-Grid and Red Green)

  • 위성현;문병연;유동식
    • 한국안광학회지
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    • 제13권4호
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    • pp.115-119
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    • 2008
  • 목적: 노안에서 십자와 적록을 조합한 시표를 사용하여 얻어진 잠정가입도와 최종가입도를 비교하기 위해 실시하였다. 방법: 대상자는 41~60세(평균연령 51.7세) 사이의 노안이 있는 60명으로 하였다. 잠정가입도는 십자시표(CG), 적록시표(RG) 및 두 가지 시표를 조합하여 만든 적록십자시표(RGCG)를 사용하여 결정하였으며, 최종가입도는 검사거리 40 cm에서 각 대상자에 맞게 잠정가입도를 조정하여 결정하였다. 결과: 측정 방법별 잠정가입도와 최종가입도 사이의 유의한 차이가 있었으며, 적록십자시표에 의한 방법이 높은 신뢰도(repeatability)를 나타냈다. 결론: 적록 십자시표(RGCG)는 노안 가입도 결정에 필요한 적절한 데이터를 얻을 수 있으며, 양안시 임상에서 가입도 처방의 진단 평가에 유용할 것이다.

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AR(1) 공정에서의 효과적인 공정평균 관리도 (An Effective Control Chart for Monitoring Mean Shift in AR(1) Processes)

  • 원경수;강창욱;이배진
    • 산업경영시스템학회지
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    • 제24권67호
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    • pp.27-36
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    • 2001
  • A standard assumption when using a control chart to monitor a process is that the observations from the process output are statistically independent. However, for many processes the observations are autocorrelated and this autocorrelation can have a significant effect on the performance of the control chart. In this paper, we consider combined control chart of monitoring the mean of a process in which the observations can be modeled as a first-order autoregressive process. The Shewhart control chart of residuals-EWMA control chart of the observations is considered and the method of combination is recommended. The performance of the proposed control chart is compared with the performance of other control charts using a simulation.

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상관된 시계열 자료 모니터링을 위한 다변량 누적합 관리도 (Multivariate CUSUM Chart to Monitor Correlated Multivariate Time-series Observations)

  • 이규영;이미림
    • 품질경영학회지
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    • 제49권4호
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    • pp.539-550
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    • 2021
  • Purpose: The purpose of this study is to propose a multivariate CUSUM control chart that can detect the out-of-control state fast while monitoring the cross- and auto- correlated multivariate time series data. Methods: We first build models to estimate the observation data and calculate the corresponding residuals. After then, a multivariate CUSUM chart is applied to monitor the residuals instead of the original raw observation data. Vector Autoregression and Artificial Neural Net are selected for the modelling, and Separated-MCUSUM chart is selected for the monitoring. The suggested methods are tested under a number of experimental settings and the performances are compared with those of other existing methods. Results: We find that Artificial Neural Net is more appropriate than Vector Autoregression for the modelling and show the combination of Separated-MCUSUM with Artificial Neural Net outperforms the other alternatives considered in this paper. Conclusion: The suggested chart has many advantages. It can monitor the complicated multivariate data with cross- and auto- correlation, and detects the out-of-control state fast. Unlike other CUSUM charts finding their control limits by trial and error simulation, the suggested chart saves lots of time and effort by approximating its control limit mathematically. We expect that the suggested chart performs not only effectively but also efficiently for monitoring the process with complicated correlations and frequently-changed parameters.

Forecasting Symbolic Candle Chart-Valued Time Series

  • Park, Heewon;Sakaori, Fumitake
    • Communications for Statistical Applications and Methods
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    • 제21권6호
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    • pp.471-486
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    • 2014
  • This study introduces a new type of symbolic data, a candle chart-valued time series. We aggregate four stock indices (i.e., open, close, highest and lowest) as a one data point to summarize a huge amount of data. In other words, we consider a candle chart, which is constructed by open, close, highest and lowest stock indices, as a type of symbolic data for a long period. The proposed candle chart-valued time series effectively summarize and visualize a huge data set of stock indices to easily understand a change in stock indices. We also propose novel approaches for the candle chart-valued time series modeling based on a combination of two midpoints and two half ranges between the highest and the lowest indices, and between the open and the close indices. Furthermore, we propose three types of sum of square for estimation of the candle chart valued-time series model. The proposed methods take into account of information from not only ordinary data, but also from interval of object, and thus can effectively perform for time series modeling (e.g., forecasting future stock index). To evaluate the proposed methods, we describe real data analysis consisting of the stock market indices of five major Asian countries'. We can see thorough the results that the proposed approaches outperform for forecasting future stock indices compared with classical data analysis.

단기 생산공정에 활용되는 SPC 기법의 비교 연구 (Comparison of Statistical Process Control Techniques for Short Production Run)

  • 서순근;이성재;김병태
    • 품질경영학회지
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    • 제28권2호
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    • pp.70-88
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    • 2000
  • Short runs where it is neither possible nor practical to obtain sufficient subgroups to estimate accurately the control limit are common in modem business environments. In this study, the standardized control chart, Hillier's exact method, Q chart, EWMA(Exponentially Weighted Moving Average) chart for Q statistics and EWMA chart for mean and absolute deviation among many SPC(Statistical Process Control) techniques for short runs have been reviewed and advantages and disadvantages of these techniques are discussed. The simulation experiments to compare performances of these variable charts for process mean and variations are conducted for combination of subgroup size, scale and timing of shifts of process mean an/or standard deviation. Based upon simulation results, some guidelines for practitioners to choose short run SPC techniques are recommended.

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A Study of Control Chart for Skewness

  • Lee, Jung Jin
    • 품질경영학회지
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    • 제23권4호
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    • pp.1-12
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    • 1995
  • Sample skewness has not received much attention from researchers to design a control chart. In this paper, control charts based on two skewness measures are studied to control a manufacturing process. One skewness measure is the third central moment about mean, the other is the third L-moment which is a linear combination of order statistics. Since the exact sampling distributions of two skewness measures are unknown, empirical sampling distributions are studied using simulation. The sampling distributions are used to design control charts for skewness and performance of two skewness measures is compared.

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Achromatic and Athermal Design of an Optical System with Corrected Petzval Curvature on a Three-dimensional Glass Chart

  • Lim, Tae-Yeon;Kim, Yeong-Sik;Park, Sung-Chan
    • Current Optics and Photonics
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    • 제1권4호
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    • pp.378-388
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    • 2017
  • We present a graphical method for determining a pair of optical materials and powers to design an achromatic and athermal lens system with corrected Petzval curvature. To graphically obtain the solutions, a three-dimensional (3D) glass chart is proposed. Even if a particular material combination is unavailable, we can select an element suitable for a specific lens and continuously change the element powers of an equivalent single lens for aberrations correction. Thus, we can iteratively identify the materials and powers on a 3D glass chart. By designing a fisheye lens using this method, an achromatic and athermal system with flat Petzval curvature is obtained, over the specified waveband and temperature ranges.

건축파사드 LED칼라의 감성평가모형 연구 (A Study on the Emotional Evaluation Model of LED Colors in Architectural Pacade)

  • 유용우
    • 한국실내디자인학회논문집
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    • 제21권2호
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    • pp.101-111
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    • 2012
  • The purpose of this study is to draw emotional evaluation model related to LED lighting colors and suggest basic informations that enable planned directions of architectural pacade lighting to simulate beforehand in a laboratory. As experimental methods, extracted PAD emotional evaluation model and then directed a experimental model of 10 LED lighting colors, studied and analyzed survey questions. The results are as follows; First, in the case of P(Pleasure-Unpleasure), Red, Yellow, Green, Cyan, Magenta, White and Combination of $G{\leftrightarrow}B$ Colors are satisfying, vibrant and positive distribution chart has shown. Second, in the case of A(Arousal-Unarousal), Red, Yellow, Green, Cyan, Blue, White and Combinations of $R{\leftrightarrow}G$, $G{\leftrightarrow}B$, $R{\leftrightarrow}B$ Colors, it makes a little difference, they have shown useful distribution chart to induce sight in a aroused state. Third, in the case of D(Dominance-Submissiveness), Red, Cyan, Green and Combinations of $G{\leftrightarrow}B$ Colors are free, controlling and extent of effect was excellent. On the contrary, in the case of Yellow and Magenta and Combinations of $R{\leftrightarrow}B$, they are gentle and arouse the protective instinct or feminine distribution chart has shown. Fourth, it showed difference of preference that difference of select ratios of both men and women in Orange, Blue, Greenish-Yellow (preference of man) and Magenta, Combinations of $R{\leftrightarrow}B$ Colors(preference of woman).

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Design of a Catadioptric System with Corrected Color Aberration and Flat Petzval Curvature Using a Graphically Symmetric Method

  • Lim, Tae-Yeon;Park, Sung-Chan
    • Current Optics and Photonics
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    • 제2권4호
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    • pp.324-331
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    • 2018
  • This paper describes a symmetric method for determining a combination of element power and optical material to design a catadioptric system with corrected color aberration and flat Petzval curvature. To graphically obtain the solutions, a glass chart containing the Abbe number, the refractive index, and the optical power, which are closely related to these aberrations, is suggested. First, we recompose an optical system as a doublet of the specific lens and an equivalent single lens, and then locate both lenses on lines that are symmetric to each other on a glass chart, through changing the lens parameters effectively. Utilizing this method, an achromatic catadioptric system with flat Petzval curvature is obtained.

측정 시스템 분석 모형의 고찰 및 새로운 모형의 제안 (Review and Suggestions of Models for Measurement System Analysis)

  • 최성운
    • 대한안전경영과학회지
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    • 제10권1호
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    • pp.191-195
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    • 2008
  • The present study contributes reviewing and suggesting various models for measurement system analysis (MSA). Measurement errors consist of accuracy, linearity, stability, part precision, repeatability and reproducibility (R&R). First, the major content presents split-plot design, and the combination method of crossed and nested design for obtaining gage R&R. Second, we propose $\bar{x}-s$ variable control chart for calculating the gage R&R and number of distinct category. Lastly, investigating the determination of gage performance curve which establishes the control specification propagating calibration uncertainties and measurement errors is described.