• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.14 no.5
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• pp.13-22
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• 2015

These days, human behavior (human factor), the main cause of traffic accidents, has drawn more attention. Research on driving behavior based on DBQ(Driver Behavior Questionnaire), the analysis tool of driving behavior, has been conducted actively. In domestic previous studies, their analysis subjects were limited to researchers or military officials, and their analysis methods were based on factor analysis and regression analysis. Therefore, this study tries to find the factors of general drivers' driving behavior that influence risk driving, and to analyze their influential relationship. Regarding study scope, general drivers with driving career were asked to answer DBQ questionnaire, and 300 effective samples were analyzed. In addition, previous studies were investigated to draw the three measurable attributes of DBQ-'Lapse, Mistake, and Violation'-as main factors of traffic accidents, and structural equation model was applied to design risk driving behavior model. To identify the difference between risk driving groups, this study made use of multiple group analysis. The analysis came to the following results: First, according to the examination of the hypothesis that 'Lapse, Mistake, and Violation factors will influence risk driving behavior', all factors were found to be statistically significant. Regarding their level of influence on risk driving behavior, Violation was 0.464, Lapse 0.383, and Mistake 0.158, and thus Violation was analyzed to be the most influential. Secondly, according to the examination of the hypothesis that 'the influence of Lapse, Mistake, and Violation factors on risk driving behavior will be different by risk group', the influence of Lapse on risk driving behavior was found to be different by risk group. It is expected that the study results will be used as a fundamental program to introduce traffic accident prevention program and education that takes violation and lapse into consideration.

• Fashion & Textile Research Journal
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• v.6 no.4
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• pp.461-466
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• 2004

The purpose of this study is to examine the different purchasing behaviors of natural dyes according to the personal value orientation of the consumers in question. In addition, this study sets out the purchasing behaviors according to demographic variables. To collect data, this study surveyed 150 housewives living in Daegu in November 2003 using convenient sampling. SPSS 10.0 was used for the statistical analysis of the sampled data including basic statistics, factor analysis and multiple regression analysis. The results derived from this study are as follows : 1) The group that exhibited a more self-controlled value orientation prefers to purchase natural dyes. 2) Consumers with relatively high education backgrounds and in an older age group have preference in purchasing natural dyes.

• Journal of environmental and Sanitary engineering
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• v.17 no.4
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• pp.61-67
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• 2002

NIRS(Near infrared spectroscopy) scanning from 1300nm to 2400nm was appl ied for the DEHP(di-(2 ethylhexyl)phthalate) in PVC(polyvinyl chloride_packing material. All samples were devided into calibration group and validation group. As a result of conduction the multiple regression analysis on the correlation between the NIR spectrum data and chemical assay value obtained by the Korea Food Sanitation Act. The validation model for measuring the DEHP content had R of 0.997, SEC of 0.132, SEP of 0.176 by MLR and R of 0.996, SEC of 0.142, SEP of 0.198 by PLS and the detection limit was 0.1%. The obtained results indicate that the NIR procedure can potentially be used as a nondestructive analysis method for the purpose of rapid and simple measurement of DEHP in PVC packing material.

• Journal of the Korean Home Economics Association
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• v.39 no.11
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• pp.145-160
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• 2001

The purpose of this study was to classify consumer groups according to shopping attitude and analyze buying intention and evaluation criteria of apparel product, opinion to CATV home shopping among consumer groups. The subjects of this study were 270 women living in Chonbuk and Chonnam regardless their experiene in CATV home shopping. For data analysis frequency, percentage, mean,1-test, factor analysis, Cluster Analysis, Duncan Multiple Range test, were conducted. The results were as follows; First, the type of shopping attitude were classified into the following subdivisions: merchandise assortment oriented type, adventure oriented type, indifferent type, economy oriented group, recreational oriented group. Second, shopping attitude were shown to have the significant differences according to education, the structure of family, working in double hamess. Third, the significant differences among the classified shopping attitude groups were found in buying intention, evaluation criteria of apparel product, and opinion to CATV home shopping.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.25 no.1A
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• pp.104-113
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• 2000

In this paper, we propose a protocol that makes use of a concept of a meta-group based on propagation trees to deal with duplicated members of the same multicast group. It is shown that, if multicast tree is composed ofthese meta-groups, the depth of the tree can be shortened and the ordering of the multicast that communicatesbetween multiple senders and receivers can be easier. In the protocol, we assign a Designated Manager(DM) toeach meta-group and make each DM do the role of the representative receiver of the meta group. In this Paper,the DM's are supposed to handle ACK and retransmission for the members in the same meta group. Hence, theDM's distribute the ACK from senders, and they can reduce the burden of senders by shortening commit delaytime. We also show, through a simulation analysis, that the new multicast protocol outperforms the existing onesnot only in message costs but also in commit delay times.

• Journal of the Korea Fashion and Costume Design Association
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• v.12 no.2
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• pp.75-90
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• 2010

Teenagers are considered as one of important consumer groups by marketers because of their high purchasing power and impulsive purchasing propensity. Especially high school girls are most significant purchasing group of them. The purpose of this study is to investigate the effect of high school girls' lifestyle on shoes purchasing behavior and shoes wearing satisfaction. This study surveyed 428 high school girls in Seoul and Chonbuk area. Data were statistically analyzed using SAS 9.1.3 for Window. Major statistical methods are factor analysis, Cronbach's ${\alpha}$ coefficient, cluster analysis, frequency analysis, Chi-square test, multiple regression analysis, ANOVA and Duncan test. The shoes purchasing behavior is significantly different according to students' lifestyle. Activity-pursuing group's major shoes purchasing factor is practical use and fashion & scholar-pursuing group's major shoes purchasing factors are fashion and brand. Relationship between lifestyle and shoes purchasing pattern is as follows. Activity-pursuing group and fashion & scholar-pursuing group purchased shoes more frequently than family-pursuing group. Fashion & scholar-pursuing-group purchased shoes for the harmony of suit and shoes. As for wearing satisfaction, design is the primary factor and price was the least significant factor in sports shoes, while durability is the primary factor and material is the least significant factor for the casual shoes.

• Korean Journal of Psychosomatic Medicine
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• v.3 no.1
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• pp.28-38
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• 1995

The purpose of this study is to investigate the relationship between irrational belief and psychopathology. The Korean version of Symptom Check List-90-R and Irrational Belief Test were administered to 621 high school students in group. The author used Pearson correlation coefficiency and multiple regression analysis to seek the regression patterns of the irrational belief. The results were as follows. 1) Most of the subscales of the SCL-90-R and Irrational Belief Test were correlated significantly. 2) In multiple regression analysis, the irrational belief associated with anxious overconcern was the most predictable variable for psychopathology.

• Industrial Engineering and Management Systems
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• v.13 no.1
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• pp.107-115
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• 2014

Offshore wind power has been extremely popular in recent years, and in the energy technology field, relevant research has been increasingly conducted. However, research regarding patent portfolios is still insufficient. The purpose of this research is to study the status of mainstream offshore wind power technology and patent portfolios and to investigate major assignees and countries to obtain a thorough understanding of the developmental trends of offshore wind power technology. The findings may be used by the government and industry for designing additional strategic development proposals. Data mining methods, such as multiple correspondence analyses and k-means clustering, were implemented to explore the competing technological and strategic-group relationships within the offshore wind power industry. The results indicate that the technological positions and patent portfolios of the countries and manufacturers are different. Additional technological development strategy recommendations were proposed for the offshore wind power industry.

• Journal of Nutrition and Health
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• v.27 no.4
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• pp.368-377
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• 1994

The purpose of this study was to investigate determining factors which influence the riboflavin and pyridoxin nutritional status of korean newborns. The riboflavin and pyridoxine nutriture were evaluated by measuring the enzymecoenzyme saturation kinetics of erythrocyte glutathione reductase and alanine aminotransferase. The subjects were 259 newborns and their mothers. The average activity coefficent values of the cord blood EALAT was 1.4$\pm$0.11 and 32% of the samples had EALATAC values greater than 1.25. EGRAC was 1.26$\pm$0.12 and 27.4 of the blood samples had EALATAC values greater than 1.25. Vitamine B6 nutrition of the newborns whose mothers consumed more energy, protein and vitamine B6 was better as cord blood EALATAC values were found to the lower in this group. A stepwise multiple regression analysis showed that birth length and mother's age significantly influenced EGRAC values, positive and negative ways, respectively.

• IE interfaces
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• v.17 no.3
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• pp.249-260
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• 2004

The objective of this study is to measure and to predict the efficiency of participating groups of BK 21 by using DEA. DEA is a methodology to measure and to evaluate the relative efficiency of a homogeneous set of decision-making units (DMUs) in a process which uses multiple inputs to produce multiple outputs. In order to reflect the effect of the environmental factors of BK 21, we consider not only a general DEA model but also a logistic model for DEA. As a result, location of participating groups of BK 21 turns out to be significant. Our proposed approach can predict the efficiency of a new BK 21 group with given environmental factors. It is expected that these models can give a feedback for effective management of BK 21.