• International journal of advanced smart convergence
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• 제9권4호
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• pp.42-51
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• 2020

In this paper, the authors propose the pseudo complex correlation coefficient (PCCC) of the two complex random variables (RV), because the four real correlation coefficients (RCC) of the corresponding four real RVs cannot be obtained only from the complex correlation coefficient (CCC) of given two complex RV. Such observation is motivated by the general statement; "The complex jointly-Gaussian random M-vector cannot be completely described by the complex covariance matrix, even though the real Gaussian random 2M-vector can be completely descried by the real covariance matrix. Therefore, in order to describe completely the complex jointly-Gaussian random M-vector, we need an additional matrix, namely the complex pseudo-covariance matrix, along with the complex covariance matrix." Then, we apply PCCC to correlated information sources (CIS) for non-orthogonal multiple access (NOMA) in 5G system, and investigate impact of the proposed PCCC on the achievable data rate of the stronger channel user in the conventional successive interference cancellation (SIC) NOMA with CIS. It is shown that for the given same CCC, the achievable data rates with the different PCCC are different, because the corresponding RCC are different. We also show that as the absolute value of the same CCC increases, the impact of the different PCCC becomes more significant.

• 한국지능시스템학회논문지
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• 제20권3호
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• pp.343-347
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• 2010

본 논문에서는 상관계수와 거리계수의 조합형 유사성 척도에 기반을 둔 효과적인 영상인식 방법을 제안하였다. 여기서 상관계수는 Pearson coefficient에 의한 통계적 유사성을 측정하기 위함이고, 거리계수는 city-block에 의한 공간적인 유사성을 측정하기 위함이다. 또한 영상사이의 전체 유사성은 각 영상이 가지는 특징사이의 유사성으로 계산되며, 영상의 특징은 PCA와 ICA로 각각 추출하였다. 제안된 방법을 40*50 픽셀의 960(30명*4표정*2조명*4포즈)개 다른 표정영상을 대상으로 실험한 결과, ICA 기반 조합형 척도를 이용하는 것이 PCA 기반 조합형 척도보다 우수한 인식률을 가지며, 또한 조명과 같은 주변 환경에도 강건한 인식성능이 있음을 확인하였다.

• 한국태양에너지학회 논문집
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• 제32권1호
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• pp.8-14
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• 2012

Concerning about global warming due to emission of greenhouse effect gas like C02 and depletion of fossil fuels have been spreading. So the need for solar energy utilization is increased. It is essentially important to make efforts to reduce usage of fossil energy resources. In this study, we analyzed the correlation between climatic elements and the photovoltaic power generation. Cloud cover of the correlation coefficient was 0.93. The order of the correlation coefficient was average temperatures, hours of sunshine duration of sunshine and the humidity. To accurately analyze of the degree of correlation for the photovoltaic power generation, additional research about climatic elements that show a high correlation is needed.

• Journal of Periodontal and Implant Science
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• 제36권2호
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• pp.427-434
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• 2006

The form of furcation influence both the pathogenesis of periodontal destruction and therapeutic results. The present study was performed to evaluate the effect of root trunk length on clinical outcomes of guided tissue regeneration. Total 30 mandibular first molars were evaluated in this study. Probing pocket depth, clinical attachment level, vertical defect depth and horizontal defect depth were measured at baseline and 6 month after GTR. Correlation coefficients between root trunk length and other clinical measurement were analyzed. The results of this study were as follows 1. The mean root trunk length in lower 1st molar was 2.15 mm. 2. Probing pocket depth, clinical attachment level, vertical defect depth and horizontal defect depth were significantly reduced at 6 month postoperatively compared to values of baseline 3. Correlation coefficient between root trunk length and vertical defect depth at baseline was 0.406 showing the positive correlation 4. Correlation coefficient between root trunk length and horizontal defect depth at baseline was -0.463 showing the negative correlation. 5. Correlation coefficient between root trunk length and decrease of horizontal defect depth after GTR was 0.654 showing the positive correlation. In conclusion, the root trunk length maybe effector for clinical outcome after guided tissue regeneration.

• 한국안전학회지
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• 제30권5호
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• pp.52-58
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• 2015

Although lots of safety inspection and precision safety diagnosis have been conducted on concrete retaining wall, there is no comprehensive analysis on the basis of the accumulated data associated with the statistic. Especially, the concentrated management is necessary on the evaluation items that cause critical damages for the efficient performance. In this regard, this study conducted a correlation analysis between the 18 condition evaluation items and defect index for the concrete retaining wall as well as how each item affects the final defect index as much as in the manual. As a result, correlation coefficient between sliding and overturning was 0.601, which means that they have a strong correlation, and the most influential item on defect index is the condition of drainage that scored the 0.750 correlation coefficient. In addition, as a result of regression analysis, the condition of drainage with the 0.683 correlation coefficient has a strong correlation with the defect index. If the condition evaluation items are integrated or readjusted based on the results of the statistical analysis in this study, the more efficient and accurate maintenance will be possible.

• 한국건설관리학회논문집
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• 제6권1호
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• pp.80-88
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• 2005

주택수요는 수요유발 상관인자를 주축으로 한 주택수요 예측모형에 의하여 그 수표량을 예측할 수 있다. 이때, 주택수요 예측모형은 상관인자의 영향도에 따라서 인자의 미세한 추이변화에 대해서도 수요의 변화폭을 민감하게 제시하게 된다. 이를 위하여 주택수요 예측에 동원 될 수 있는 여러 상관인자들 가운데 영향도가 가장 큰 인자가 무엇인지 찾아낼 필요가 있다. 이때 대상인자의 데이터는 횡단면자료(Cross Section Data) 혹은 시계열자료(Time Series Data)분석으로 수행된다. 즉, 영향도가 가장 큰 인자들을 찾아내는 방법마련이 필요하며 이후 이 방법에 따른 상관인자의 도출이 가능함에 따라 영향도가 가장 큰 인자를 발굴하는 방법을 제시하고 이에 의한 상관인자를 도출하는 것을 본 연구의 목적으로 한다.

• 한국환경보건학회지
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• 제16권2호
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• pp.55-61
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• 1990

Laboratory methods commonly used today are biochemical oxygen demand, chemical oxygen demand, and total organic carbon. Establishment of constant relationships among the various measures of organic content depends primarily on the nature of the wastewater and its source. Of all the measures, the most difficult to correlate to the others is the BODs test, because of the problems associated with biological tests. The results were summarized as follwos, 1. For typical municipal wastes, however, the SBOD$_{5}$/SCOD$_{cr}$ ratio varies from 0.14 to 0.34(mean 0.21), SBOD$_{5}$/STOC ratio varies from 0.35 to 1.19(mean 0.69) 2. Correlation analysis between the SBOD$_{5}$ and SCOD$_{cr}$ gave good correlation coefficient r = 0.903 and the equation Y = 3.756X + 16,221 was obtained. 3. The correlation between the SBOD$_{5}$ and STOC was well presented with equation : Y = 1,070X + 7,637, and also correlation coefficient r = 0.821 4. The correlation between the SCOD$_{cr}$ and STOC was well presented with equation : Y = 0.256X +5.513 and also correlation coefficient r = 0.816. 5. Because of the rapidity with which the TOC test can be conducted, it is anticipated that more use will be made of these tests in the future.

• 한국생활과학회지
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• 제15권3호
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• pp.439-447
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• 2006

The purpose of this study is to explore the accuracy and reliability of subjective evaluation instruments in evaluating sensibility of similar fabrics, Kendall's coefficient of concordance W (agreement among subjects) and Spearman rank correlation coefficient (reproducibility after 1 week) were used to evaluate which one is more efficient. Eight kinds of linen-like silk fabrics finished with polyurethane resin were used, Subjective evaluation instruments such as rating scale method, contrasting method against a control, rank ordering method, paired comparison and Quad analysis were used, 'Stiffness and Pliability' and 'Preference of summer fabric' were estimated, From the result of subjective stiffness and pliability, which are effective on objective properties of fabric, the rating scale method in Kendall's coefficient of concordance W and Quad analysis in Spearman rank correlation coefficient were given the highest score, From the result of subjective preference of summer fabric, which are effective on individual sensibility, contrasting method against a control in Kendall's coefficient of concordance W and Quad analysis in Spearman rank correlation coefficient revealed the highest score, Regarding the accuracy, reliability and efficiency, Quad analysis was an efficient method for subjective evaluation of linen-like silk fabrics.

• 대한가정학회지
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• 제8권1호
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• pp.21-35
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• 1970

1. For the purpose of making the basic pattern construction 100 girls attending the Seoul National University College of Home Economics were measured in finding of body size and coefficient of correlation which would be used as one basis of this study. 2. Coefficient of correlation of each body part based on the breast width was shown as follows; Correlation coefficients of bust to waist and hip were high and those of bust to shoulder width, neck height, back width, and breast width were low. None of that was found between bust and back length. It was not recognized so scientific to adjust the basic pattern construction with figures proportioned by those of neck, shoulder width, breast width, and back width. 3. The method of basic pattern construction obtained by this research has been demonstrated in direct wearing since 1967. It is believed that the result will contribute a great benefit in teaching clothing as well as in mass production industry of ready-made garments.

• 한국측량학회:학술대회논문집
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• 한국측량학회 2007년도 춘계학술발표회 논문집
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• pp.187-190
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• 2007

This study is for analyzing best band in image matching using correlation coefficient of left and right images of stereo image pair, lot red, green, blue band images separated from color aerial photo and gray image converted from the same color aerial photo image. The image matching is applied to construct Digital Elevation Model(DEM) or terrain data. The correlation coefficients and variation by change of pixel patch size are computed from pixel patches of which sizes are $11{\times}11{\sim}101{\times}101$. Consequently, the correlation coefficient in red band image is highest. The lowest is in blue band. Therefore, to construct terrain data using image matching, the red band image is preferable. As the size of pixel patch is growing, the correlation coefficient is increasing. But increasing rate declines from $51{\times}51$ image patch size and above. It is proved that the smaller pixel patch size than $51{\times}51$ is applied to construct terrain data using image matching.