• ALGAE
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• v.23 no.4
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• pp.277-288
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• 2008

The relationship between nutrients and phytoplankton dynamics was investigated daily from 12 April to 22 July 2003 in Sagami Bay, Japan. According to multidimensional scaling (MDS) and cluster analysis, phytoplankton community was divided into four distinct groups. The first group was consisted of centric diatom species, such as Guinardia spp., Detonula spp., Letocylindrus danicus, Skeletonema costatum, Eucampia zodiacus and Chaetoceros spp.. The second and third clusters comprised mainly diatoms and dinoflagellates, respectively. The other cluster was restricted to the samples collected during the last sampling period when the rainfall and river discharge was frequently recorded. Canonical correspondence analysis (CCA) was applied to analyze four groups respectively, which focused on the effects of nutrients concentration and ratio on phytoplankton variations. Based on CCA analysis, most species of centric diatom were negatively correlated with DSi concentrations and Si/N ratio. Nutrients were strongly limited phytoplankton growth during the summer when the rainfall was not observed, whereas river discharge by rainfall and counterclockwise coastal currents (although the surface circulation pattern is often altered by Kuroshio Current, the counterclockwise coastal currents are generally dominant) has brought phytoplankton population accumulation and triggered the micoalgae growth in western part of the bay. Phosphorous (P) was strongly limited after significantly increases in the phytoplankton abundances. However, silicate (Si) was not a major limiting factor for phytoplankton production, since Si/DIN and Si/P ratio did not create any potential stoichiometric limitation. This indicates that high Si availability contributes favorably to the maintenance of diatom ecosystems in Sagami Bay.

• The Korean Journal of Applied Statistics
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• v.37 no.2
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• pp.157-176
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• 2024

Integrative analysis for better understanding of complex biological systems gains more attention. Observing subjects from various perspectives and conducting integrative analysis of those multiple datasets enables a deeper understanding of the subject. In this paper, we compared two methods that simultaneously consider two datasets gathered from the same objects, canonical correlation analysis (CCA) and co-inertia analysis (CIA). Since CCA cannot handle the case when the data exhibit high-dimensionality, two strategies were considered instead: Utilization of a ridge constant (CCA-ridge) and substitution of covariance matrices of each data to identity matrix and then applying penalized singular value decomposition (CCA-PMD). To illustrate CIA and CCA, both extensions of CCA and CIA were applied to NCI60 cell line data. It is shown that both methods yield biologically meaningful and significant results by identifying important genes that enhance our comprehension of the data. Their results shows some dissimilarities arisen from the different criteria used to measure the relationship between two sets of data in each method. Additionally, CIA exhibits variations dependent on the weight matrices employed.

• Journal of Gifted/Talented Education
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• v.20 no.1
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• pp.289-316
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• 2010

The purpose of this study was to investigate the relationship between thinking style and learning style of gifted children in elementary school. The subjects were 178 fourth, fifth and sixth grade elementary school students who enrolled in gifted education program. They were given the Thinking Style Questionnaire and the Grasha Reichmann Student Learning Style Questionnaire. Descriptive statistics, correlation analysis and canonical correlation analysis were performed. Results indicated that gifted students prefer legislative, judical, liberal, local, hierarchic, external thinking styles known to be related to creative and critical thinking rather than executive and conventional styles. Meanwhile, in the aspect of learning style, independent learning style than the dependent learning style, competitive style than the collaborative style, and participatory style than the avoiding style were significantly scored higher. The canonical analysis showed that thinking styles and learning styles share 59%(Rc=.77) each other, indicating the two variables had significant close relationship. External, liberal, hierarchic, judical, executive, and liberal thinking styles in the order named showed higher cross loading in the independent variable set, likewise independent, participatory, collaborative, and competitive learning styles in the dependant variable set. The results indicate that the external, liberal, hierarchic, judical, executive, and liberal thinking styles can be the significant predictors of independent, participatory, collaborative, and competitive learning styles. The implications of the study related to the gifted education were discussed in depth.

• Journal of the Korean Society of Clothing and Textiles
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• v.30 no.12 s.159
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• pp.1649-1660
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• 2006

IIn the United States, professional dress codes for working women have changed over time since the 1970s. Considering the changes, from conservative and traditional business uniforms in the 1970s, business casual in the late 1980s through 1990s, and the current revival of tailored business suits, this study investigated working women's business jacket practices and their association with personal, psycho-social, and physical characteristics. Working women's job satisfaction and corporate culture were also examined in relation to business jacket practices. Research data were collected by implementing mail surveys to 1,500 randomly selected working women in the United States. Of the 1,500 distributed questionnaires, a total of 312 were returned, of which 265 were deemed usable, yielding a 20.8% response rate. For data analysis, descriptive statistics, such as frequency, percentage distribution, mean scores, standard deviations, and Canonical Correlation were tabulated. The respondents ranged in age from 22 to 65. The mean age of the respondents was 44 years(SD=9.63). Most respondents were married(77.4%), working full-time(81.4%), career-oriented (77.2%), Caucasian(89.8%), had at least one child(78.9%), and had a professional job(75.9%). Working women's age, number of children, self-confidence in dressing, perceived importance of clothing, body frame size, and visibility to superiors and public were positively associated with business jacket practices, while age of first child, family size, dress size, and job satisfaction were negatively associated with business jacket practices.

• Journal of the Daesoon Academy of Sciences
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• v.36
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• pp.267-298
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• 2020

The purpose of the paper is to analyze the developmental background and practical approaches to the arts of the Dao (道術 dosul) in Daesoon Jinrihoe (大巡真理會) by tracing this concept back to its source and comparing and contrasting Daesoon Jinrihoe's usage of 'arts of the Dao' with the usage found in traditional Daoism. The paper is divided into a preface, conclusion, and two body sections. Especially significant discoveries appear in the second and third sections. In the second section, the Daoist concept of Alterable and Unalterable Degree Numbers (運度定數 yundudingshu, 'degree numbers' suggesting 'fate' or 'destiny') allows for a comparison between the Reordering Works of Heaven and Earth (天地公事 cheonjigongsa) from Daesoon Jinrihoe's The Canonical Scripture (典經 jeon-gyeong) and the Opening of Calamities to Save Humanity (開劫度人 kaijieduren) in Daoism. Here discourse can be provided regarding the cause of calamities (劫 'jie' in Chinese and 'geop' in Sino-Korean). Additionally examined are the deep grievances between divine beings and humans and the cosmic cycles of growth and decay as both of these relate to the reason for calamities. As for the resolving of calamities, there are two differing perspectives proposed by Daesoon Jinrihoe and traditional Daoism. Daesoon Jinrihoe believes that Kang Jeungsan (姜甑山) led changes and renewal through the Reordering Works of Heaven and Earth. In this context, clergy and laity play roles as assistants. However, Daoism emphasizes gaining merit from the recitation of scriptures and the collective participation of immortals rather than relying completely upon divine intervention from the Celestial Worthy of the Primordial State (元始天尊 yuanshi tianzun). In the third section, 'The Origin and Application of the Arts of the Dao (道術 daoshu),' analysis is provided regarding the origin and connotation of five directional generals (五方將 wufangjiang), the twenty-four generals (二十四將 ershijiang), the twenty-eight generals (二十八將 ershibajiang), and the forty-eight generals (四十八將 sishibajiang). Likewise examined is the relationship between the arts of the Dao in The Canonical Scripture and Thunder Rites in the Shen Xiao Lineage (道教神霄雷法 daojiao shenxiao leifa) of Daoism. Lastly, some points are made about the operation of two ceremonies: The Ceremony of Transformation and Pacing (遁甲步罡儀式 dunjiabugangyishi) and Divination through the Formula Disc of the Six Ren Gods (六壬式盤占卜 liuren shipanzhanbu).

• The Korean Journal of Applied Statistics
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• v.29 no.6
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• pp.1025-1039
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• 2016

We introduce various methods to investigate the relations between innovation of technology and social changes by analyzing more than 4 millions of patents registered at United States Patent and Trademark Office(USPTO) from year 1985 to 2015. First, we review the history of patent law and its relation with the quantitative changes of registered patents. Second, we investigate the differences of technical innovations of several countries by use of cluster analysis based on the numbers of registered patents at several technical sectors. Third, we introduce the PageRank algorithm to define important nodes in network type data and apply the PageRank algorithm to find important technical sectors based on citation information between registered patents. Finally, we explain how to use the canonical correlation analysis to study relationship between technical innovation and social changes.

• Korean Journal of Food Science and Technology
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• v.26 no.5
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• pp.561-566
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• 1994

The kinds of kochujang were discriminated by using their organic acid compositions, GC peak areas of volatile concentrates and flavor intensity determined by sensory evaluation. Tested kochujang were 51 kinds of traditional kochujang and 10 kinds of industry-produced kochujang in the market. The traditional kochujang included 20 kinds of Sunchang kochujang prepared with glutinous rice, 11 kinds of Boeun kochujang prepared with barley and 20 kinds of Sachun kochujang prepared with wheat. Boeun kochujang was distinguished from other kinds of traditional and industry-produced kochujang by using canonical discriminant analysis for the compositions of organic acids. Among organic acids, lactic acid was the most contributing variable for the discrimination of various kochujang. Traditional and industry-produced kochujang could be classified into 4 groups by using discriminant analysis for GC peak areas. The peak number 2, 4, 8 and 11 were found to be highly contributing variables for the discrimination of kochujang by using stepwise discriminant analysis. Industry-produced kochujang was discriminated from traditional kochujang by using canonical discriminant analysis for the intensity of 8 kinds of flavor property. The taste 'umami' was found to be the most contributing variable for the discrimination of kochujang.

• Korean Journal of Food Science and Technology
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• v.46 no.5
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• pp.549-555
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• 2014

The geographical origin of commercial red ginseng concentrate was studied using liquid chromatography-tandem mass spectrometry (LC-MS/MS). The ginsenoside content of domestic and Chinese red ginseng concentrates was determined. Four types of suspected origin samples could be selected this technique. The LC-MS/MS data were statistically analyzed on the basis of canonical function analysis and principal component analysis. Domestic and Chinese samples could be discriminated via canonical function analysis using posterior probability. In addition, the mixture ratio (Korean or Chinese origin) of the unknown origin specimen could be predicted based on the relationship between the mixing concentration of red ginseng concentrates and principal component 1.

• The Korean Journal of Applied Statistics
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• v.37 no.5
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• pp.691-702
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• 2024

In this paper, we propose mixed projection forest (MPF), a new classification ensemble method that can be effectively applied in the field of big data analysis. When training individual classifiers within an ensemble, MPF uses oblique hyperplanes using combined rotation matrix derived from data projection techniques of principal component analysis (PCA) and canonical linear discriminant analysis (CLDA), thereby improving the accuracy of each classifier. Additionally, the diversity of individual classifiers is improved by generating various rotation matrices through random partitioning of the input variable set. This approach ultimately enhances classification performance and proves to be highly effective in big data analysis that demands precision. We conducted a performance comparison of MPF with existing classification ensemble models using 30 real or simulated datasets. The results indicate that MPF achieves competitive performance in terms of classification accuracy and classifier diversity.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2012.05a
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• pp.164-167
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• 2012

The technology which is used for segregating voices signals from exhaust noise signals of a car is very practical one to realize the interfaces between men and machines using voices. The voice signals contaminated by exhaust noise signal of a car was separated by canonical correlation ananysis(CCA) in an environment which does not guarantee the independence between signals and have prior informations. Rearrangement for the input signals is important in CCA. CCA was studied and segragation between source signals were performed by CCA through rearrangements of each of signals. It is possible to apply the technique to various signals since it is also possible to use CCA to the signals which are not independent.