• Title/Summary/Keyword: 상관계수법

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A New Error Diffusion Coefficients Reducing Correlation Pattern (상관패턴을 감소시키는 새로운 오차확산계수)

  • 박장식;손경식;김재호
    • Journal of Korea Multimedia Society
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    • v.2 no.2
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    • pp.137-144
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    • 1999
  • Error diffusion is excellent for reproducing grey-scale images to binary images. The output of conventional error diffusion produces correlated pattern. In this paper, a new error diffusion coefficient set is proposed to reduce correlated pattern and to enhance edge through frequency analysis of the error diffusion coefficients. The error diffusion coefficients of the previous line are designed to enhance the edge. The error diffusion coefficient of the previous pixel of the current pixel is selected to symmeterize the coefficient set. Because the proposed coefficient-set consists of 1 and 2, a few computations are required. As results of experiments, it is shown that the binary image using the proposed coefficients have better quality than conventional ones.

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Measurement of Shunt Amount Using Radionuclide Angiocardiography: Accuracy According to Level of Shunt and Associated Lesion (방사성 동위원소 심혈관 조영술을 이용한 단락량 측정법: 정확성에 영향을 미치는 인자)

  • Kim, Yang-Min
    • Nuclear Medicine and Molecular Imaging
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    • v.40 no.4
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    • pp.200-204
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    • 2006
  • Purpose: Determination of pulmonary to systemic blood flow ratio (QP/QS) is important for the management of patients with left-to-right shunt. This study was performed to assess the agreement of Qp/Qs ratio using the radionuclide method and oxymetry, to investigate the factors influencing the agreement, and to know how interchangeable the results of each technique. Materials and Methods: We compared the Qp/Qs measured by single-pass radionuclide angiocardiography and oxymetry during catheterization in 207 patients who underwent both studies. In radionuclide method, Qp/Qs was calculated from the pulmonary time-activity curves using a gamma variate fit. The correlation and Bland-Altman analysis were performed according to the levels of shunt and associated lesions. Results: The mean Qp/Qs was $1.83{\pm}0.50$ by radionuclide, and $1.74{\pm}0.51$ by oxymetry. The overall correlation coefficient was 0.86(p<0.001), and Bland-Altman range of agreement encompassing 4SD was 1.05. For atrial septal defect, ventricular septal defect, patent ductus arteriosus, tricuspid and mitral insufficiency, the correlation coefficient was 0.78, 0.90, 0.84, 0.63 and 0.44, and Bland-Altman range was 1.51, 0.74, 0.96, 1.57, and 1.50, respectively. Conclusion: There is good agreement but wide variance between the Qp/Qs ratios by radionuclide method and oxymetry. Associated atrioventricular valvar insufficiency decreases the correlation coefficient and widens the variance. Wide overall variance suggests that Qp/Qs measurements by two techniques should not be used interchangeably.

신호접근법에 의한 유조선 해운시장 위기 예측 연구

  • 최봉근;류동근
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2023.05a
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    • pp.63-65
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    • 2023
  • 한국 경제에 근간이 되는 산업은 제조업이고, 그중 석유화학산업은 전량 원유를 수입하여 우리나라의 기술력으로 가공하여 재수출하는 전략적 성장 산업이다. 수많은 제조업의 원료가 되는 원유를 전량 해상운송을 통해 수입하는 우리나라는 변동성이 심한 유조선 운임 시장에 대해 기민하게 대응해야 한다. 유조선 운임 시장의 위기는 관련 해운회사의 위기에서 끝나지 않고 원유를 사용하는 산업에서부터 국민의 생활까지 영향을 미칠 수 있으므로, 본 연구에서 신호접근법을 활용한 조기경보모형을 제시했다. BDTI 운임지수를 활용하여 유조선 해운시장 위기를 정의하고, 38개의 거시경제, 금융, 원자재 지표 그리고 해운시장 데이터를 활용해 시차상관관계를 분석하여 유조선 해운시장 위기에 선행적으로 반응하는 종합선행지수를 도출했다. 연구 결과, 종합선행지수는 두 달 전 가장 높은 0.499의 시차상관계수 값을 가졌으며, 5개월 전부터 유의미한 상관계수 값을 나타냈다. 더불어 QPS 값은 0.13으로 위기 예측에 대해 높은 정확성을 지니는 것으로 검증됐다.

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Fuzzy Testing of Independence in Bivariate Normal Distribution (2변량 정규분포의 독립성에 관한 퍼지 검정)

  • Kang, Man-Ki;Seo, Hyun-A
    • Journal of the Korean Institute of Intelligent Systems
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    • v.21 no.1
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    • pp.1-5
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    • 2011
  • We furnished some properties of fuzzy testing of independence for correlation in a bivariate normal distribution by agreement index. First we present some restriction of the fuzzy data, define fuzzy sample correlation coefficient and agreement index for testing hypothesis with acceptance or rejection degree. Also, we show that UMP unbiased fuzzy test and drawing conclusions the fuzzy test.

The Correlation Analysis and Correction factor of BMD in Forearm and Lumbar with DXA (DXA를 이용한 전완부와 요추부 골밀도 검사의 보정계수 및 상관관계 연구)

  • Han, Man-Seok
    • Journal of Digital Convergence
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    • v.11 no.12
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    • pp.551-556
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    • 2013
  • The Forearm and the lumbar spine bone mineral density bone mineral density values obtained through, T-score and Z-score correlation between numerical and calibration function obtained as a result of any one part to another part of the results is intended to infer. Groups of 66 patients, 11 patients by age 20-70 were composed of patients measured with the forearm and lumbar spine bone mineral density T-score and Z-score of the survey for each of the three factors that correlated to assess the correlation Find the correction factor to obtain the relationship. Bone mineral density of the correlation coefficient R = 0.769 correction factor is Y = 1.541X + 0.133. T-score of correlation coefficient R = 0.768 and the correction factor Y = 0.715X - 0.4 is Z-score of the correlation coefficient R = 0.635 correction factor Y = 0.751X - 0.162. It is regarded that there will be a clinical availability which can analogize the result of a part by using the result of the other part.

A Comparative Study on Tests of Correlation (상관계수에 대한 검정법 비교)

  • Cho, Hyun-Joo;Song, Myung-Unn;Jeong, Dong-Myung;Song, Jae-Kee
    • Journal of the Korean Data and Information Science Society
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    • v.7 no.2
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    • pp.235-245
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    • 1996
  • In this paper, we studied about several methods of testing hypothesis of correlation, specially Approximate method, Empirical method and Bootstrap method. The Approximate method is based on the Fisher's Z-transformation and the Empirical and Bootstrap methods approximate the distribution of the sample correlation coefficient by Monte Carlo simulation and Bootstrap technique, respectively. In order to compare how good these tests are, we computed powers under various alternatives. Consequently, we see that the Approximate test performs very well even if in small sample and all tests have almost the same power in large sample.

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The Comparison of Estimation Methods for the Missing Rainfall Data with spatio-temporal Variability (시공간적 변동성을 고려한 강우의 결측치 추정 방법의 비교)

  • Kim, Byung-Sik;Noh, Hui-Seong;Kim, Hung-Soo
    • Journal of Wetlands Research
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    • v.13 no.2
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    • pp.189-197
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    • 2011
  • This paper reviewed application of data-driven method, distance-weighted method(IDWM, IEWM, CCWM, ANN), and radar data method estimated of missing raifall data. To evaluate these methods, statistics was compared using radar and station rainfall data from Imjin-river basin. The range of RMSE values calculated for CCWM, ANN was 1.4 to 1.79mm, and the range of RMSE values estimated data used for radar rainfall data was 0.05 to 2.26mm. Spatial characteristics is considered to Radar rainfall data rather than station rainfall data. Result suggest that estimated data used for radar data can impove estimation of missing raifall data.

Estimation of Missing Rainfall Data Considering Spatio-Temporal Variation Using Radar Data (레이더 자료를 이용한 시공간적 변동성을 고려한 강우의 결측치 추정)

  • Song, Chang-U;Song, Chang-Joon;Kim, Byeong-Sik;Kim, Soo-Jun;Kim, Hung-Soo
    • Proceedings of the Korea Water Resources Association Conference
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    • 2010.05a
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    • pp.1196-1200
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    • 2010
  • 본 논문에서는 지점 강우의 결측치를 추정하기 위해 전통적인 통계학적 내삽기법을 이용한 역거리가중치법(IDWM), 역지수가중치법(IEWM), 상관계수가중치법(CCWM)과 패턴 인식의 일종인 인공신경망(ANN)기법 그리고 시공간적 강우분포의 측정이 가능한 레이더 자료를 이용해 결측치를 추정하여 각각의 방법을 비교하였다. 임진강 유역의 15개 지상관측소를 대상으로 교차검정(Cross validation) 분석을 실시해 본 결과, CCWM 방법과 ANN기법에 의한 RMSE가 0.46~1.79의 범위를 보였고, 보정레이더를 이용하여 결측치를 추정한 경우RMSE가 0.05~2.26의 범위를 보여 기존의 전통적 결측치 추정방법보다 실측치에 가까운 결과를 보였다. 이는 레이더자료가 지점 강우자료와는 달리 강우의 시공간적 변동성을 고려한 공간분포의 정보를 지니고 있기 때문인 것으로 판단된다.

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Removing Non-informative Features by Robust Feature Wrapping Method for Microarray Gene Expression Data (유전자 알고리즘과 Feature Wrapping을 통한 마이크로어레이 데이타 중복 특징 소거법)

  • Lee, Jae-Sung;Kim, Dae-Won
    • Journal of KIISE:Software and Applications
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    • v.35 no.8
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    • pp.463-478
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    • 2008
  • Due to the high dimensional problem, typically machine learning algorithms have relied on feature selection techniques in order to perform effective classification in microarray gene expression datasets. However, the large number of features compared to the number of samples makes the task of feature selection computationally inprohibitive and prone to errors. One of traditional feature selection approach was feature filtering; measuring one gene per one step. Then feature filtering was an univariate approach that cannot validate multivariate correlations. In this paper, we proposed a function for measuring both class separability and correlations. With this approach, we solved the problem related to feature filtering approach.

Estimation of Nitrogen Content in Brown Rice by Colorimetric Method (비색법에 의한 현미 중의 질소 함량 측정)

  • Kim, S.K.;Hue, M.H.;Lee, C.Y.
    • Korean Journal of Food Science and Technology
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    • v.4 no.4
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    • pp.235-238
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    • 1972
  • A biuret method by Johnson and Craney (1971) was slightly modified and applied to the multiple analysis of nitrogen in brown rice. The results were compared with those by the dye-binding method to see if the former be applicable to the determination of higher nitrogen content in rice. The nitrogen content of rice samples ranged from $1.2{\sim}2.0%$. The correlation between biuret absorbance and nitrogen content was highly significant; its correlation coefficient being 0.841. The biuret method, however, showed rather lower correlation coefficient in case of high nitrogen samples.

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