• Safety and Health at Work
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• v.3 no.4
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• pp.278-286
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• 2012

Objectives: Authors investigated the pattern of the rate of occupational injuries and illnesses (ROII) at the level of enterprises in order to build a network for exchange of experience and knowledge, which would contribute to workers' safety and health through safety climate of workplace. Methods: Occupational accidents were analyzed at the manufacturing work site unit. A two step clustering process for the past patterns regarding the ROII from 2001 to 2009 was investigated. The ROII patterns were categorized based on regression analysis and the patterns were further divided according to the subtle changes with Mahalanobis distance and Ward's linkage. Results: The first clustering of ROII through regression analysis showed 5 different functions; 29 work sites of the linear function, 50 sites of the quadratic function, 95 sites of the logarithm function, 62 sites of the exponential function, and 54 sites of the sine function. Fourteen clusters were created in the second clustering. There were 3 clusters in each function categorized in the first clustering except for sine function. Each cluster consisted of the work sites with similar ROII patterns, which had unique characteristics. Conclusion: The five different patterns of ROII suggest that tailored management activities should be applied to every work site. Based on these differences, the authors selected exemplary work sites and built a network to help the work sites to share information on safety climate and accident prevention measures. The causes of different patterns of ROII, building network and evaluation of this management model should be evaluated as future researches.

• Nutrition Research and Practice
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• v.7 no.4
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• pp.330-335
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• 2013

Data are limited on the association between dietary patterns and screen time among Korean adolescents. The present study identified dietary patterns of 691 adolescents, aged 13-18 years, who had participated in the Third Korean National Health and Nutrition Examination Survey (KNHANES III) and analyzed their associations with screen time. Screen time was defined as the time spent watching TV, using a computer, or playing video games was calculated as a sum of all these times. Dietary patterns and their factor scores were derived from a food frequency questionnaire using the factor analysis method. To analyze the association between dietary patterns and screen time, we conducted multiple linear regression analysis. We also performed multiple logistic regression analysis to estimate odds ratios (OR) of excessive screen time (2 hours or longer per day) and 95% confidence intervals (CI). We identified 2 dietary patterns labeled "the Korean healthy dietary pattern" and "the Western diet and fast foods pattern". The former included mixed grains, legumes, potatoes, red meat, eggs, fish, dairy products, fruits, vegetables, seaweeds, and mushrooms, whereas the latter included noodles, bread, red meat, poultry, fast foods, snack, and soft drinks. After controlling for potential confounding factors, factor scores for the Korean healthy dietary pattern were inversely associated (P-value for trend < 0.01) and those for the Western diet and fast foods pattern were positively associated with the screen time (P-value for trend < 0.01). Adolescents in the top tertile of the scores for the Korean healthy dietary pattern had a multivariable-adjusted OR [95% CI] of 0.44 (0.25-0.75) for excessive screen time compared with those in the lowest tertile. On the basis of these findings, adolescents who have excessive screen time may need to be encouraged to consume a more healthy diet.

• The Research Journal of the Costume Culture
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• v.32 no.2
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• pp.199-214
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• 2024

Until now, research on consumers' purchasing behavior has primarily focused on psychological aspects or depended on consumer surveys. However, there may be a gap between consumers' self-reported perceptions and their observable actions. In response, this study aimed to investigate consumer purchasing behavior utilizing a big data approach. To this end, this study investigated the purchasing patterns of fashion items, both online and in retail stores, from a data-driven perspective. We also investigated whether individual consumers switched between online websites and retail establishments for making purchases. Data on 516,474 purchases were obtained from fashion companies. We used association rule analysis and K-means clustering to identify purchase patterns that were influenced by customer loyalty. Furthermore, sequential pattern analysis was applied to investigate the usage patterns of online and offline channels by consumers. The results showed that high-loyalty consumers mainly purchased infrequently bought items in the brand line, as well as high-priced items, and that these purchase patterns were similar both online and in stores. In contrast, the low-loyalty group showed different purchasing behaviors for online versus in-store purchases. In physical environments, the low-loyalty consumers tended to purchase less popular or more expensive items from the brand line, whereas in online environments, their purchases centered around items with relatively high sales volumes. Finally, we found that both high and low loyalty groups exclusively used a single preferred channel, either online or in-store. The findings help companies better understand consumer purchase patterns and build future marketing strategies around items with high brand centrality.

• Korean Journal of Construction Engineering and Management
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• v.5 no.6 s.22
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• pp.63-71
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• 2004

This study is an analysis the function Analysis Patterns for the effective application of VE(Value Engineering) and a presentation of the function analysis methods. 1. The function analysis of VE activities can be summarized 6 patterns as follows ; a generated ideas without function analysis process, a function analysis make use of inspection tools for generated idea, an illogical jump as a using of subjective terms, a using of duplication terms for same functions, a subjective ranking as function definitions for function analysis, and a large classification for a for approaching function definition. 2. In order for the effective function analysis, the process requires as follows; a check level by project advanced, a reclassified main nouns in the order of frequency of use, a main check objects by concepts of importance and satisfaction degree. It is not only good for the effective function analysis, it also induces effective turn out of the FAST Diagram for function arrangement.

• Journal of the Korean Home Economics Association
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• v.32 no.3
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• pp.105-120
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• 1994

The purposes of this research are to find out general trends of mother-adolescent communication and family stress to estimate the differences of communication patterns and family stress according to sociodemographic and communication variables and to analyze communication variables influencing on family stress. The samples were selected from high school students and their mothers and 342 couples were used in final analysis. Barnes & Olson(1982)'s parent-adolescent communication scale(PACI) and McCubbin(1981)'s family stress scale(FILE) were used to measure mother-adolescent communication pattern and family stress. The data were analyzed by frequency, percentage, mean, Chi-square, F-test Duncan-test, multiple regression, Pearson's r, and Chronbach's α. The result are summerized as follows: 1) Mothers highly perceived mother-adolescent open communication pattern but adolescents highly revealed mother-adolescent close communication pattern. The general trends of family stress showed that adolescents stress is higher than mothers. 2) Communication patterns showed significant differences in mother's age, adolescent's sex and communication variables in mother's education and conversation variables. Generally when mothers and adolescents communicated insufficiently and were not satisfied with communication patterns family stress was increased. 3) Family stress was significantly different in communication patterns. Form the regression analysis it was found that communication patterns are crucial to family stress. Especially open communication pattern between mothers and adolescents was the most important among the communication patterns for family stress was reduced.

• Journal of the Korean Society of Safety
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• v.33 no.3
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• pp.77-82
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• 2018

This paper aims to analyze the accident based on changing patterns of traffic culture index. For this purpose, this paper particularly focuses on classifying the traffic culture patterns and developing the traffic accidents using panel count data model. The main results are as follows. First, the traffic culture patterns are divided into 'increasing', 'decreasing' and 'other' patterns. The null hypotheses that the number of accident are the same over patterns are rejected. Second, 4 fixed effect negative binomial models which are all statistically significant are developed. Third, the regions with 'increasing' pattern are analyzed to be mostly the counties, and to demand the traffic law enforcement. Fourth, the regions with 'decreasing' pattern are evaluated to be mainly the districts and to require such the traffic culture as turn signal usage. Finally, the regions with 'other' pattern are analyzed to be mostly the cities and to ask for enhancing the level of traffic culture.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.41 no.6
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• pp.61-67
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• 2004

We propose a new algorithm to generate additional training patterns using the brain-style information processing algorithm, that is, supervised and unsupervised learning models. This will be useful in the case that we do not have enough number of training patterns because of limitation such as time consuming, economic problem, and so on. We adopt the independent component analysis as an unsupervised model for generating exempalr patterns and multilayer perceptions as supervised models for verifying usefulness of the generated patterns. After statistical analysis of the proposed pattern generation algorithm, we verify successful operations of our algorithm through simulation of handwritten digit recognition with various numbers of training patterns.

• Journal of Family Resource Management and Policy Review
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• v.11 no.1
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• pp.1-20
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• 2007

This study identified financial management patterns of college students, and compared socioeconomic characteristics among different groups of financial management patterns. Also, the study examined the level of financial knowledge of college students, and compared it among the groups of financial management patterns. Data fur this study were from a questionnaire completed by 4-year college students (n=364), and were analyzed by factor analysis, cluster analysis, chi-square test, and ANOVA. The findings of this study were as follows: First, the financial management patterns were categorized by four groups: rational management group, future-oriented group, active management group, and present-oriented group. Secondly, younger students were more likely to be in the present-oriented group, while older students were likely to be in the future-oriented or active management group. Male students were likely to be the active managers, but female were likely to be the rational managers. Students' income was higher for future-oriented or active management groups, and their part-time jobs and their experiences of financial education were also significant variables. Thirdly, the average score of college students' financial knowledge was 49.9 on a 100 point basis. The part of financial assets and investment had only 47 points. The group of rational managers and active managers received higher points than the other groups.

• Human Ecology Research
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• v.52 no.5
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• pp.443-456
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• 2014

The purpose of this study was to explore the patterns of private education, investigate the characteristics of private education patterns, and analyze the differences in study habits and academic achievement of youth on the basis of private education patterns. In this study, we used the data from the 2012 Panel of the Korea Children and Youth Panel Study by the National Youth Policy Institute. The subjects of this study were ninth-grade students and their parents. The statistical methods used for the analysis were two-step clustering, Chi-squared test, analysis of variance, and multiple regression. The major findings were as follows: first, private education was classified into three patterns, namely financial investment, time investment, and reduction of investment; and four categories, namely; private education methodology, private education time, private education expenses, and number of youth with access to private education. Second, the statistically significant socio-demographic characteristics of private education patterns were parents' education, parents' job type, father's working hours, sex of children, housing form, and income. Third, the study found that financial investment and a reduce of investment led to better study habits and academic achievement than time investment and no investment. Fourth, private education and study habits showed statistically meaningful effects on academic achievement; in particular, study habits had strong effects on academic achievement. Based on the results, a variety of educational programs for the improvement of the study habits of the youth were suggested.

• Journal of the Korean Society of Food Culture
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• v.35 no.3
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• pp.311-322
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• 2020

Recently, there is growing interest in studying the dietary patterns that affect the risk of circulatory system diseases (CSDs). We investigated the relationship between CSDs and dietary patterns through a follow-up study in Korea (2001-2016). The participants of this study were obtained from the Korean Genome and Epidemiology Study (KoGES). This study was a large community-based cohort study (the Ansan-Ansung areas) conducted to assess the effects of various factors, especially diet, on the onset of chronic diseases among the Korean population aged 40-69 yrs. Baseline data were collected from 2001 to 2002, and follow-up studies were performed every 2 yrs, with over 7 follow-up studies performed (2015-2016). Three dietary patterns were identified using factor analysis: "vegetable and seafood (men)/soup and stew (women)" pattern, "sweet foods and breads-rice cake" pattern, and "multigrain rice and cooked white rice" pattern. None of the dietary patterns were significantly associated with the risk of CSDs in either men or women. Our follow-up study is meaningful as it investigated whether the dietary patterns of individuals according to sex affects the development of CSDs.