• KSTLE International Journal
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• v.2 no.1
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• pp.12-16
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• 2001

A finite element analysis of crack propagation in a half-space due to sliding contact was performed. The sliding contact was simulated by a rigid asperity moving across the surface of an elastic half-surface containing single and multiple cracks. Single, coplanar, and parallel cracks were modeled to investigate the interaction effects on the crack growth in contact fatigue. The analysis was based on linear elastic fracture mechanics and the stress intensity factor concept. The crack propagation direction was predicted based on the maximum range of the shear and tensile stress intensity factors.

• Journal of the Korean Society of Safety
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• v.35 no.2
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• pp.55-60
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• 2020

The purpose of this study is to analyze the influence of the economic and workforce factors on the annual number of occupational accident fatalities occurring at the construction sites. The considered variables of the economic factor are the amount of economic losses caused by industrial accidents, the GDP, and the total monthly wage for each economically active population. And, the variables related to the workforce factor are the number of economically active population, the number of female economically active population, and the number of labor union members. The multiple regression analysis was conducted to determine the effect of two factors on the total number of occupational fatalities in the construction industry. The results show that GDP among considered variables in the economic factor had a statistically significant negative relationship with the number of the construction accident fatalities in the construction industry. Among variables related to the workforce factor, economically active population showed a statistically significant negative relationship with the number of the construction accident fatalities.

• Transactions of the Korean Society for Noise and Vibration Engineering
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• v.14 no.9 s.90
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• pp.884-890
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• 2004

In this paper, an index for the evaluation of vehicle intake booming noise is developed through a correlation analysis of objective measurement data and subjective evaluation data. First, intake orifice noise is measured at the wide-open test condition. And then, acoustic transfer function between intake orifice noise and interior noise at the steady state condition is estimated. Simultaneously, subjective evaluation was carried out with a ten-scale score by 8 engineers. Next, the correlation analysis between the psycho-acoustic parameters derived from the measured data and the subjective evaluation is performed. The most critical factor was determined and the corresponding index for the intake booming noise is obtained from the multiple factor regression method. At last, the effectiveness of the proposed index is validated.

• The Korean Journal of Applied Statistics
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• v.31 no.3
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• pp.315-328
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• 2018

In this paper, we examine the methodology to predict consumer preferences using several groups of attributes of products and application to real data. In the food industry, studies are in progress to investigate the relationship between product attributes and consumer preferences; consequently, various methodologies are proposed. Among these methodologies, we consider multiple factor analysis (MFA). The result of the MFA enable the division of consumers into four clusters with similar liking and the defining of preference characteristics for each cluster. Also, using the results of multiple factor analysis, we find the partial least squares path model to predict consumer preferences through the characteristics of the product and the characteristics evaluated by consumers. We can understand the relationship between the cluster of consumers and the preferred/undesirable characteristics of products through the partial least squares path model applied to two clusters with different liking. When multiple factor analysis is used in the partial least squares path model, it is possible to investigate relationships between products and consumers by analyzing product characteristics and consumer preferences simultaneously. The results can be applied to product developments and sales which makes this methodology important and useful.

• Journal of the Korean Society of Clothing and Textiles
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• v.25 no.2
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• pp.358-365
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• 2001

The purpose of this study was to investigate the relation between various aspects of multiple body image and clothing behavior i.e. individuality/self expression, body improvement, social approval, sex appeal. The data were collected from 498 female university students in Seoul and Kyong Ki Province and analyzed using factor analysis, Pearsons correlations, reliability test, analysis of variance, and multiple regression analysis. The results of this study were as follows: 1) Four dimensions of multiple body image were identified : appearance, body attractiveness, degree of fitness and atheletic skill. 2) Perception on appearance and fitness aspect of multiple body image has a positive correlation with all aspects of clothing behavior i.e. individuality/self expression, body improvement, social approval and sex appeal of clothing behavior. Body attractiveness and atheletic skill of multiple body image also had a positive correlation with individuality/self expression, and sex appeal.

• Journal of Korean Society of Transportation
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• v.27 no.1
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• pp.107-114
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• 2009

Human walking is essential and important mean of transportation. Pedestrian safety is recently important because accidents often happen while walking. This research is showing that Walking-environmental factors have effect on safety while walking. At first, exact 15 factors and conduct survey in the preceding research. After that, exact 4 important factors through factor analysis. At result of Multiple regression analysis, null hypothesis has proved to be true by satisfying therms which is F-value 9.211 and P-value 0.000. and come to the conclusion that walking-environmental factors influence pedestrian safety. 4 important factors can be listed by below. Pedestrian-road characteristic, landscape characteristic, commercial characteristic, walking characteristics by following influence. Especially, landscape characteristic and pedestrian-road characteristic can be vital factors.

• Journal of the Korean Society of Clothing and Textiles
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• v.12 no.3 s.28
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• pp.309-318
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• 1988

The purposes of this study were: 1) to develop specific AIO variables(clothing variables) based on clothing behavior studies, 2) to segment apparel market by clothing variables, 3) to discribe the profile of each segment with clothing variables, lifestyle variables and demographic variables, 4) to Suggest effective strategies on apparel market of women's clothing. The Likert Type clothing questionnaires measured 6 aspects of clothing (fashion, conformity-individuality, practicality, aesthetics, modesty and brand consciousness & status symbols) dealing with activities, interests and opinions. In addition, lifestyle variables were measured with general AIO statements. The questionnaires were administered to 563 young women (students, career women and homemakers) living in Seoul. The data were analysed by factor analysis, ctustering analysis, multiple discriminant analysis, one-way ANOVA ana Duncan's multiple range test. The results of the study were as follow: 1) 4 factors emerged from factor analysis of clothing variables. Factor 1: lower interest in modesty and higher interest in aesthics, Factor 2: brand consciousness and status symbols, Factor 3: conformity, Factor4 : fashion. 2) Lifestyle variables clustered into 3 factors. Factor 1: positive social activity, Factor 2: family-oriented type, Factor S: materialism. 3) By cluster analysis of the 4 factors of the clothing variables, the apparel market of women's clothing was categorised into 3 segments (innovative aesthetics seeker group, brand and status symbols conscious group, clothing unconscious group). 4) The above three segmented groups were also significantly discriminated by lifestyle and demosraphic variables. 5) On the basis of the findings, effective marketing strategies of women's clothing were suggested.

• Journal of the Korea Safety Management & Science
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• v.23 no.1
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• pp.49-56
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• 2021

The purpose of this study is to investigate the current status of firefighting seatbelt use and factors affecting the wearing seatbelt of firefighters. The seatbelt use of citizens was also studied for comparative study. Two T-tests were conducted to confirm the characteristics of firefighters' safety belts wearing firefighters. As a result, there was a statistically significant difference, on seatbelt use in general vehicles, between firefighters and citizens. And a significant difference between fire vehicles and general vehicles, on firefighters' seatbelt use, and the average was lower in fire vehicles. Factor analysis, reliability analysis, correlation analysis and multiple regression analysis were conducted to 10 influential factors affecting seatbelt use of firefighters'. And factor analysis and reliability analysis revealed two major factors (Physical factors, Learning factors). In multiple regression analysis, it was confirmed the two independent factors had a positive effect on the dependent variable, the rate of seatbelt use of firefighters'.

• Journal of the Korean Home Economics Association
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• v.32 no.1
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• pp.103-118
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• 1994

The purpose of this study was to develop the Parent Satisfaction Scale(PSS) to measure the various components of satisfaction related to parenting. The subjects were 1210 parents(249 fathers and 961 mothers) selected nation widely from 7 cities and several rural area in Korea. the statistics used for data analysis were Fisher's Exact Test, Cramer's V, factor analysis multiple regression, Cronbach's α,and Pearson's correlation. To begin with eighty of 100-item scale were selected through the item analysis and from that 48 items were abstracted through the multiple regression analysis conducted to reduce the length of the scale. Results of factor analysis indicated that the PSS comprised of five factors: general satisfaction parent-child relationship spouse support parent's role conflict support of children. Reliabilities for the domains ranged from 79 to 91. To determine the construct validity of this instrument the Marital Satisfaction Scale and the Proverb about child rearing were administered. The two creterion measures showed significant relationships with the PSS. The final 48 items scale from the current analysis were considered to be critical steps in the development of this assessment device.

• Proceedings of the Korean Society for Quality Management Conference
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• 2006.04a
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• pp.319-324
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• 2006

In this paper, we propose Bayesian procedure for the multiple change points analysis in a sequence of fractions nonconforming. We first compute the Bayes factor for detecting the existence of no change, a single change or multiple changes. The Gibbs sampler with the Metropolis-Hastings subchain is run to estimate parameters of the change point model, once the number of change points is identified. Finally, we apply the results developed in this paper to both a real and simulated data.