• Culinary science and hospitality research
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• v.14 no.4
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• pp.292-305
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• 2008

This study examines the relationships among the leadership of hotel managers, organizational culture, and business performance with an empirical analysis. The results of analyzing various factors are as follows. Leadership can be divided into 'democratic leadership' and 'authority leadership'. Organizational culture can also be divided into 'adhocracy culture', 'clan culture', 'hierarchy culture', and 'market culture' while business performance into 'nonfinancial performance' and 'financial performance'. After that, canonical correlation analyses between leadership and organizational culture, organizational culture and business performance, and leadership and business performance were conducted.

• Bulletin of Food Technology
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• v.9 no.4
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• pp.87-93
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• 1996

NIR(근적외) 분광분석법이 참기름의 원산국 판별에 이용 가능 한지를 알아보기 위하여 32종의 시료에 대하여 NIR 분석을 실시한 후, 그 분광 데이터에 대하여 principal component analysis(주성분 분석)와 canonical variate analysis(정준판별분석)을 실시하였다. 10개의 주성분과 400-2500nm에서 second derivative log(1/R) 데이터를 이용할 경우, 제1 및 제2 정준판별함수는 3개 참기름 그룹(한국산 참깨로 제조한 13종의 참기름 그룹, 외국산 참깨로 제조한 10종의 국산 참기름 그룹 및 미지의 참깨로 제조한 9종의 참기름 그룹)을 판별하는데 가장 효과적이었다. 사용된 canonical variate analysis는 참기름 시료를 100%의 정확도로 그 지리적 출처를 분류하였다. 한편 second derivative log(1/R) spectra상의 파장범위 498-500, 668, 1698-1724, 2242-2256, 2302-2306, 2328 및 2348~2352nm에서 3개 그룹간에 현저한 차이가 발견되었다.

• Bulletin of Food Technology
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• v.10 no.1
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• pp.94-101
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• 1997

NIR(근적외) 분광분석법이 녹차의 원산국을 판별하는데 이용할 수 있는지를 알아보기 위하여 분쇄한 47종의 한국산 및 일본산 녹차에 대하여 NIR 분석을 실시한 후, 그 분광 데이터에 대하여 principal component analysis(주성분 분석 )와 canonical variate analysis(정준판별분석)을 실시하였다. 15개의 주성분과 1100~2500nm에서의 first derivative log(1/R) 데이터를 이용할 경우, 제1 및 제2 정준판별함수는 한국산 녹차 및 일본산 녹차를 판별하는데 가장 효과적이었다. 사용된 canonical variate analysis는 녹차 시료를 97.87%의 정확도로 그 지리적 출처를 판별하였다. 한편 first derivative log(1/R) spectra상의 파장범위 1674~1686, 1950~1992, 2014~2030및 2118~2158 nm에서 일본산 녹차와 3종의 한국산 녹차 그룹간에 현저한 차이가 발견되었다. 이 차이는 polyphenols, caffeine 및 amino acids와 같은 녹차의 주요성분과 관련되어 있지 않으며 주로 지리적 출처상의 차이에 기인한 것으로 판단되었다.

• Journal of the Korean Home Economics Association
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• v.49 no.10
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• pp.103-113
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• 2011

This study investigated the structural relationships between attachment, social competence, and emotion regulation. A survey was administered to 233 children of elementary school age(5th-6th grades) in G-city, Korea, using the IPPA-R, the Social Competence Inventory and an Emotion Regulation Scale. The collected data were then analyzed using a Canonical Correlation Analysis. First, the relationship between attachment and social competence was analyzed. The results showed that attachment and social competence have a positively correlated relationship. Peer attachments strongly affect the attributes of social competence when using a canonical variate analysis. Secondly, the relationship between attachment and emotional regulation was analyzed. The results showed that attachment and emotion regulation are also positively correlated. Maternal attachment particularly strongly affected the attributes of emotion regulation. Thirdly, the relationship between social competence and emotional regulation was analyzed. The results showed that social competence and emotional regulation have a positive relationship.

• Journal of Fisheries and Marine Sciences Education
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• v.22 no.2
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• pp.151-164
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• 2010

The purpose of this study was to investigate relationships between major satisfaction and career decision efficacy and career attitude maturity of engineering college students by performing canonical correlation analysis. A total of 492 engineering students(male=380, female=112) completed 3 tests. The results of canonical correlation analysis showed a) major satisfaction were significantly associated with career decision efficacy, b) major satisfaction were significantly associated with career attitude maturity, and c) career decision efficacy were significantly associated with career attitude maturity.

• Journal of Environmental Science International
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• v.11 no.10
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• pp.1031-1037
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• 2002

CCA (Canonical Correspondence Analysis) was used so as to analyze the relation between vegetation and soil environment of Mankyeong river located in Jeollabuk-do. Vegetation survey consulted 1:5,000 topographical map, set up 30 plot and analyzed from June, 2001, to september, 2001. Plant communities of Mankyeong river was investigated by phytosocialogical method. The species composition of plant communities showed high correlation to soil pH, soil organic matter, $P_2$$O_5$, total nitrogen, EC, when they were analyed by CCA. According to the results of CCA hydrophyte communities were distributed in the region that high pH. But the vegetation of disturbed site and wetland plants were distributed in a good nutrients.

• The Korean Journal of Applied Statistics
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• v.13 no.1
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• pp.105-113
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• 2000

Wollenberg(1977)의 중복분석(redundancy analysis)을 두 개 이상의 변수집단이 주어져 있는 경우로 확장하고, 확장된 중복분석과 일반화 정준상관분석의 관계를 논의하며, 이 관계를 이용하여 새로운 형태의 일반화 정준상관분석을 제안한다.

• Biomolecules & Therapeutics
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• v.17 no.2
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• pp.133-137
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• 2009

The root of Astragalus membranaceus is a traditional folk medicine that has been used for many therapeutic purposes in Asia. It reportedly acts as an immunostimulant, tonic, hepatoprotective, diuretic, antidiabetic, analgesic, expectorant, sedative, and anticancer drug. In this study, metabolomic profiling was applied to the roots of A. membranaceus of different ages using NMR coupled with two multivariate statistical analysis methods: such as principal components analysis (PCA) and canonical discriminant analysis (CDA). This allowed various metabolites to be assigned in NMR spectra, including $\gamma$-aminobutyric acid (GABA), aspartic acid, succinic acid, glutamic acid, glutamine, N-acetyl aspartic acid, acetic acid, arginine, alanine, threonine, lactic acid, and valine. The score plot from PCA and also CDA allowed a clear separation between samples according to age.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.13 no.2
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• pp.810-831
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• 2019

Recently, continuous dimensional emotion recognition from audiovisual clues has attracted increasing attention in both theory and in practice. The large amount of data involved in the recognition processing decreases the efficiency of most bimodal information fusion algorithms. A novel algorithm, namely the incomplete Cholesky decomposition based kernel cross factor analysis (ICDKCFA), is presented and employed for continuous dimensional audiovisual emotion recognition, in this paper. After the ICDKCFA feature transformation, two basic fusion strategies, namely feature-level fusion and decision-level fusion, are explored to combine the transformed visual and audio features for emotion recognition. Finally, extensive experiments are conducted to evaluate the ICDKCFA approach on the AVEC 2016 Multimodal Affect Recognition Sub-Challenge dataset. The experimental results show that the ICDKCFA method has a higher speed than the original kernel cross factor analysis with the comparable performance. Moreover, the ICDKCFA method achieves a better performance than other common information fusion methods, such as the Canonical correlation analysis, kernel canonical correlation analysis and cross-modal factor analysis based fusion methods.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.10 no.2
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• pp.432-437
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• 2009

This paper has investigated disease structure and pattern against 9,955 (34.6%) elderly patients aged 60 or older at 'K' University Hospital from January 1 to December 31, 2007 through canonical correlation analysis. According to this investigation, the variable with the biggest correlation coefficient has been whether or not surgery has been performed. Since the aged are weaker than the young physically and mentally in general, a surgical operation has been considered. I hope that the result of this paper would be used as basic data for establishment of systematic geriatric health program and disease statistics.