• 대한의용생체공학회:의공학회지
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• 제32권4호
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• pp.336-344
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• 2011

This article describes a new recognition algorithm using correlation coefficient for intelligent wheelchair to avoid collision for elderly or disabled people. The correlation coefficient can be used to represent the relationship of two different areas. The algorithm has three steps: Firstly, we extract an edge vector using the Histogram of Oriented Gradients(HOG) which includes gradient information and unique magnitude for each cell. From this result, the correlation coefficients are calculated between one cell and others. Secondly, correlation coefficients are used as the weighting factors for normalizing the HOG cell. And finally, these features are used to classify or detect variable and complicated shapes of two wheelers using Adaboost algorithm. In this paper, we propose a new feature vectors which is calculated by weighted cell unit to classify with multiple view-based shapes: frontal, rear and side views($60^{\circ}$, $90^{\circ}$ and mixed angle). Our experimental results show that two wheeler detection system based on a proposed approach leads to a higher detection accuracy than the method using traditional features in a similar detection time.

• Journal of Ginseng Research
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• 제19권2호
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• pp.165-170
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• 1995

This study was carried out to investigate the correlation of agronomic characters, their path coefficients in 2, 3 and 4-year old ginseng plants, and to provide a useful information for ginseng breeding. Correlation coefficients between stem fen변h, number of leaves and number of Iraflets in 2-year age, and stem diameter and leaf length in 3-year age showed highly significant correlation with number of fruits and root weight in 4-year age. The path coefficient analysis indicated that stem length and number of leaflets might give indirect effects on root weight regardless of plant age. On the other hand, stem length and number of leaflets in 2-year age and, stem diameter and leaf length in 3-year age showed direct effects on root weight in 4-year old ginseng. These results may be used for selection of high-yielding ginseng plants. Key words Selection information, correlation and path coefficient analysis.

• 융합신호처리학회논문지
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• 제23권3호
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• pp.143-149
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• 2022

This excerpt delineates a quantitative measure of relationship between a research title and its respective abstract extracted from different journal articles documented through a Korean Citation Index (KCI) database published through various journals. In this paper, we propose a machine learning-based similarity metric that does not assume normality on dataset, realizes the imbalanced dataset problem, and zero-variance problem that affects most of the rule-based algorithms. The advantage of using this algorithm is that, it eliminates the limitations experienced by Pearson correlation coefficient (r) and additionally, it solves imbalanced dataset problem. A total of 107 journal articles collected from the database were used to develop a corpus with authors, year of publication, title, and an abstract per each. Based on the experimental results, the proposed algorithm achieved high correlation coefficient values compared to others which are cosine similarity, euclidean, and pearson correlation coefficients by scoring a maximum correlation of 1, whereas others had obtained non-a-number value to some experiments. With these results, we found that an effective title must have high correlation coefficient with the respective abstract.

• 한국도서관정보학회지
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• 제24권
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• pp.1-44
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• 1996

This study is to analyze correlations between 10 factors related to university libraries and the number of professional staff, nonprofessional staff, and total library staff of university libraries in Korea and United States of America. The results of this study are summarized as follows: 1. In the case of Korea, there are high positive correlations between the number of total library staff and 7 of 10 variables (coefficient : 0.76-0.99) ; between the number of professional staff and 7 of 10 variables, same as the above (coefficient : 0.76-0.99) ; between the number of nonprofessional staff and 4 of 10 variables (coefficient 0.73-0.93). In the case of America, there are high positive correlations between the number of total library staff and 6 of 10 variables (coefficient : 0.74-0.97) ; between the number of professional staff and 5 of 10 variables (coefficient : 0.78-0.87): between the number of nonprofessional staff and 6 of 10 variables (coefficient : 0.73-0., 96). 2. All the. rank orders of correlation coefficients of two countries show little significant difference, by the results of the Spearman's Rank Order Correlation analysis (coefficient : total staff, 0.9152: professional staff, 0.8667 ; nonprofessional staff, 0.9030) 3. In the case of Korea, among the above factors, correlations of the total university expenditure and the library expenditure show a significant difference more than ones of the other factors. On the other hand, in the case of American professional staff, the correlations of the library expenditure, the library materials expenditure and the volumes in library show a significant difference more than ones of the other factors, while in the case of American nonprofessional staff, only the library expenditure shows a significant difference more than the others. 4. In the results of the correlation analysis between the professional staff and nonprofessional staff in Korea, the number of graduate enrollments, volumes in library, library expenditure and total university expenditure show higher positive correlation to the professional staff than the nonprofessional staff. However, in the case of America, the library expenditure and the library materials expenditure show higher positive correlation to the nonprofessional staff than the professional staff, while the university expenditure per student shows higher positive correlation to the professional staff. 5. In the results of the correlation analysis between Korea and America, in the case of the total library staff, the undergraduate enrollments, the total university expenditure and the library expenditure show higher positive correlation to Korea than America, and in the case of the professional staff, the graduate, enrollments, the volumes in library and the above 3 factors also show higher positive correlation to Korea than America. But in the case of the nonprofessional staff, the graduate enrollments, the volumes in library and library materials expenditure show higher correlation to America than Korea, while the total university expenditure shows the o n.0, pposit phenomenon of the above. And the other factors by the type of staff are little significant difference between two countries.

• 응용통계연구
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• 제29권7호
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• pp.1445-1458
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• 2016

본 논문에서는 1976년부터 2015년까지 40년 간, 59개 지역 기온 시계열을 대상으로 degrended cross-correlation analysis(DCCA) 방법을 이용한 상관 계수를 도출하였다. 4년 단위의 평균기온, 최고기온, 최저기온 시계열을 분석하여 상관계수 값이 0.9 이상이면 단위 기간 동안 두 지역의 온도 상관성이 존재하는 것으로 판단하고, 두 지역 간의 연결선을 만드는 방식으로 네트워크를 구축하였다. 이후 네트워크 이론을 바탕으로 평균 경로 길이, 결집 계수, 유사성, 모듈성 등의 값들을 도출하였다. 그 결과, 기온 네트워크는 좁은 세상 성질을 만족하고, 유사성과 모듈성이 높은 네트워크임을 알 수 있었다.

• 설비공학논문집
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• 제18권11호
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• pp.906-914
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• 2006

The present paper dealt with an experimental study of boiling heat transfer characteristics of R-290. Pressure gradient and heat transfer coefficient of the refrigerant flow inside horizontal smooth minichannel were obtained with inner tube diameter of 3.0 mm and length of 2,000 mm. The direct electric heating method was applied for supplying a heat to the refrigerant uniformly. The experiments were conducted with R-290 purity of 99.99%, at saturation temperature of 0 to $10^{\circ}C$, a mass flux range of $50{\sim}250kg/m^2s$, and a heat flux range of $5{\sim}20kW/m^2$. The heat transfer coefficients of R-290 increased with increasing mass flux and saturation temperature, wherein the effect of mass flux was higher than that of the saturation temperature. Heat flux has a low effect on the increasing of heat transfer coefficient. The heat transfer coefficient was compared with six existing heat transfer coefficient correlations. The Zhang et al.'s correlation (2004) gave the best prediction of heat transfer coefficient. A new correlation to predict the two-phase flow heat transfer coefficient was developed based on the Chen correlation. The new correlation predicted the experimental data well with a mean deviation of 11.78% and average deviation of -0.07%.

• 분석과학
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• 제33권3호
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• pp.143-150
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• 2020

본 연구에서는 곡물, 육류, 해산물, 채소류등에 대하여 식품공전에 등재되어 있는 켈달법(Kjeldahl method)과 AOAC에 등재되어 있는 듀마스법(Dumas method)을 이용하여 조단백질을 비교 분석하였다. 두 시험법에 대해 총 31종의 시료를 3회 반복 시험한 결과 대부분 비슷한 결과를 나타내었다. 곡물류의 경우 백미를 포함 총 9 종을 분석하였고, 켈달법과 듀마스법 결과간의 상관관계를 비교한 결과 correlation coefficient가 0.994, p-value는 0.956로 두 결과값간의 유의적 차이는 없는 것으로 나타났다. 육류 9 종에 대해서는 correlation coefficient이 0.9725, p-value는 0.947, 해산물 5 종에 대해서는 correlation coefficient 값이 0.9879, p-value는 0.761, chemical시료 3종에 대해서는 correlation coefficient값이 0.9985, p-value는 0.997, 채소류 4 종에 대해서는 correlation coefficient값이 0.9873, p-value는 0.727로 시료간 약간의 차이는 있으나 켈달법과 듀마스법간에는 유의적 차이가 없는 것으로 나타났다. 육류의 경우 시료의 균질성이 좋지 않아 소량을 칭취하여 분석해야 하는 듀마스법에서 재현성이 좋지 않았다. 다만 시료 중 질산염을 많이 함유하고 있는 채소류의 경우 켈달법을 이용하여 분석시 완전한 분해가 이루어지지 않아 듀마스의 결과보다는 낮은 함량값을 나타내었다. 또한 듀마스 법의 경우 약 0.1 g의 적은 시료를 사용하여 분석하기 때문에 분석시 시료의 균질성이 보장되어야 한다. 두 시험법 모두 순단백질을 직접 정량하는 것이 아닌 질소 분석을 바탕으로 단백질 함량을 구하는 것이기 때문에 정확성이 높다고 할 수 없지만, 샘플의 특성에 따라 적절한 분석방법을 선택하여 분석하는 것이 중요하다.

• 한국지능시스템학회:학술대회논문집
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• 한국퍼지및지능시스템학회 2006년도 춘계학술대회 학술발표 논문집 제16권 제1호
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• pp.61-64
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• 2006

Based on the geometrical representation of a generalized intuitionistic fuzzy set, we take into account all three parameters describing generalized intuitionistic fuzzy set, propose a method to calculate the correlation coefficient for generalized intuitionistic fuzzy sets in finite set and probability space, respectively, and discuss some properties of correlation and correlation coefficient of generalized intuitionistic fuzzy sets.

• 대한가정학회지
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• 제23권3호
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• pp.9-16
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• 1985

There are two standards for evaluation of fabric aesthetics, the feeling of fabric and the fabric sense of sight. Its drapalility with lustre is one of factors to decide the fabric sense of sight. This study was carried out to investigate the drape property property of fabrics. The fabric characteristics and the physisical properties of fabrics were tested. And the effect of the laundering on the drape properties was examined. RESULTS : 1. The drape coefficients of sampled fabrics were increasd as the thickness of fabrics were increased, excluding the fabric consisting of 60% polyester$\times$40% wool. 2. The drape coefficient of sampled fabrics were decreased as the cover faders of fabrics were increased, excluding the summer clothes and the fabrics of 100% wool. 3. The drape coefficients of fabrics other than sumer clothes were increased as the weight of fabrics were in creased. 4. Positive correlation was observed between the stiffness and the drape coefficient. 5. Negative correlation was observed between the fabric shrinkage and the drape coefficient. 6. The drape coefficient was decreased to a certain limit by laundering.But as the laundering was repeated up to certain number, the drape coefficient and the node number, a significant correlation was observed between the drape coefficient and the node shape.

• 한국환경과학회지
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• 제24권4호
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• pp.403-414
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• 2015

This study is daytime and nighttime runoff image data caused by heavy rain on May 27, 2013 at Oedo Water Treatment Plant of Oedo-Stream, Jeju to compute runoff by applying Surface image velocimeter (SIV) and analyzing correlation according to current. At the same time, current was comparatively analyzed using ADCP observation data and fixed electromagnetic surface current meter (Kalesto) observed at the runoff site. As a result of comparison on resolutions of daytime and nighttime runoff images collected, correlation coefficient corresponding to the range of 0.6~0.7 was 6.8% higher for nighttime runoff image compared to daytime runoff image. On the contrary, correlation coefficient corresponding to the range of 0.9~1.0 was 17% lower. This result implies that nighttime runoff image has lower image quality than daytime runoff image. In the process of computing current using SIV, a rational filtering process for correlation coefficient is needed according to images obtained.