• Journal of the Korean Society of Clothing and Textiles
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• v.24 no.3
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• pp.345-352
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• 2000

The purpose of this study was to classify lower body types of elementary school girls. The subjects for anthropometric study were 368 girls aged from 10 to 11. Factor analysis, cluster analysis, discriminant analysis, and analysis of variance were performed for statistical analysis of the data. Four lower body construction factors were extracted by the factor analysis of antropometric measurements. The factors extracted were lower body fatness factor, lower body height factor, lower body length from the waist to the crotch factor, and lower body configuration factor. On the basis of the cluster analysis, three different lower body types were categorized. Type 1 was short and small sized type and 42.4% of subjects belonged under this type. Type 2 was tall and fat type and 22.3% of subjects belonged under this type. Type 3 was the most similar to the average type having the largest waist-hip drop value and 35.3% of subjects belonged under this type. Discriminant analysis showed 7 discriminant factors that can classify the children's lower body type were Rohrer's index, height, fibulae length, waist girth, ilio cristale girth, trochanter girth, and weight.

• Journal of Korean Society for Quality Management
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• v.47 no.4
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• pp.713-723
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• 2019

Purpose: The purpose of this study is to develop a statistical program for capability analysis of measuring system and measurement process based upon KS Q ISO 22514-7. Methods: R is a powerful open source functional programming language that provides high level graphics and interfaces to other languages. Therefore, in this study, we will develop the statistical program using R language. Results: The R program developed in this study consists of the following five modules. ① Measuring system capability analysis with Type 1 study data: MSCA_Type1.R ② Measuring system capability analysis with Linearity study(Type 4 study) data: MSCA_Type4.R ③ Measurement process capability analysis with Type 1 study & Gage R&R study data: MPCA_T1GRR.R ④ Measurement process capability analysis with Type 4 study & Gage R&R study data: MPCA_T4GRR.R ⑤ Attribute measurement processes capability analysis : AttributeMP.R Conclusion: KS Q ISO 22514-7 evaluates measuring systems and measurement processes on the basis of the measurement uncertainty that was determined according to the GUM(KS Q ISO/IEC Guide 98-3). KS Q ISO 22514-7 offers precise procedures, however, computations are more intensive. The R program of this study will help to evaluate the measurement process.

• Journal of the Korean Society for information Management
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• v.40 no.1
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• pp.175-198
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• 2023

This study aimed to investigate the difference in response to reading as shown in book reports by personality type and interest type. For this purpose, personality type analysis data, interest type analysis data, and book report data written in subject reading activities were collected from 81 third graders at D Science High School in Daejeon. Topic analysis was conducted on the collected book reports, and the probability of a topic being mentioned was statistically tested according to personality type (thinking type, feeling type) and interest type (investigative type, types other than investigative). Subsequently, the conceptual connection structure of words was measured by keyword network analysis, and the analysis results of topic modeling were complemented by the centrality index. As a result of the study, the topic regression analysis showed statistically significant differences between thinking type (T) and feeling type (F) in topic 2 (understanding and studying) and topic 3 (reading and thinking), and statistically significant differences between investigative type and non-investigative type in topic 2 (understanding and studying). The results of this study can be used as a basis for tailored book recommendations and personalized reading education.

• Journal of the Korean Society of Clothing and Textiles
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• v.18 no.4
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• pp.560-565
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• 1994

The purpose of this study was to extract information of body form's classification on elderly women. We measured 242 subjects from 55 to 75 years of age, using 27 direct measurement items and 25 body indices. We analyzed these indices with factor analysis, cluster analysis We obtained these following results 1) Through factor analysis, 4 factors (obesity of torso, location of upper torso items, length of upper torso, location of lower torso items & shoulder length) were extracted from body indices. 2) Through culster analysis, we categorized 4 clusters. Namely, type 1, characterized the best slender type, type 2; characterized obesity type, type 3: characterized middle sized type ; type 4: characterized by fat type less than type 2. We considered that type 3 is the typical type on elderly women. Since analysis using indices is very profitable, it may be necessary to design dummies and patterns for clothing manufacture.

• Korean Institute of Interior Design Journal
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• no.40
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• pp.94-101
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• 2003

This study is mentioning about basic information and guide related block types, through a comparison and an analysis of floor types which is shown as function in block types and public interior spaces. For the range of this survey, it is defind in the beginning of 1970' s to the end of 1990' s which was rapidly developed in hotel industry and also is chosen by 12 places in the first class hotels. On the purpose of this study is written by designing the basic information of architectures, new hotels which are built and managed in urban, refer to the survey and analysis of the characteristic in hotel. The following is conclusion by based on pre-survey of the analysis of a plan and a site in these hotels. First, as a result of analysis in block type, there are equally distributed in three types (in-type, combination type, close-type), except a atrium type exception, in 12 hotels(100%). Second, as a result of analysis of function type in public interior space, Con-course type is consist of 7(58%), Hall type is 5(42%) in the type of room in public interior space, in 12 hotels(100%). Third, the type in lobby on space plan are equally shown by the type of lobby in center(4PL.), of lounge in center(4PL.), and a compromising type(4PL.).

• KIEAE Journal
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• v.8 no.6
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• pp.47-55
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• 2008

The purpose of this study is as follows. 1) An element to organize the landscape of an apartment entrance space and setting up, a characteristic of landscape through the actual condition analysis. 2) The characteristic of the type analysis and classified the shape of the entrance as the type. 3) The degree to like the landscape analysis through the making up question. The result of this research is as follows. The entrance of the apartment complex of 71 as of 92 and set an element to organize the landscape and the characteristic of landscape through the frequency analysis and divided an entrance landscape of apartment into 4 types through the cluster analysis. An entrance landscape of apartment types of the entrance is classified as follows. 1) Type I: A model wall-fence type, 2) Type II: The side constructing a building-fence type, 3) type III: The side constructing a building-retaining wall-mixing tree type, 4) type IV: The moulding constructing a building-a retaining wall type.

• Journal of Fashion Business
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• v.6 no.6
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• pp.78-88
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• 2002

The purpose of this study is to provide for some basic data useful to production of the apparels fit and measured well for the Chinese men. For this purpose, 389 men aged between 20 and 49 and living in Beijing and Shanghai, China were sampled to be measured for their constitutions. Then, their constitutions were classified and thereupon, according to the Men's Wear Specifications (GB/T 1335.1-1997), National Standards of People's Republic of China. The collected data were statistically processed using SAS 6.12 for technical statistical analysis, correlation analysis, factor analysis, group-wise analysis. The results of this study can be summarized as follows; 1. As a result of the factor analysis aiming to determine Chinese men's constitutional components, five components could be identified: constitutional obesity, lateral body size, longitudinal body size, shoulder and back width, and shoulder drooping. 2. As a result of classifying Chinese men's constitutions according to drop measurements, four types could be identified. Y type had the lowest obesity and the highest longitudinal body size. A type had a lower obesity and had an average longitudinal body size. B Type had the second highest obesity, the smallest longitudinal body size and shoulders/back width. C Type had the highest obesity, upper body length and shoulders/back width. 3. In terms of distribution, 'B' type (39.10%) of the sample, followed by 'A' type (29.26%), 'C' type (19.95%) and 'Y' type (11.70%). In all, the results of this study suggests that 'B' type represents the Chinese men in contrast with GB specifying that 'A' type represents the Chinese men. On the other hand, Beijing region was dominated most by 'B' type (37.06%), followed by 'A' type (28.82%), 'C' type (22.35%) and 'Y' type (11.76%), while Shanghai region was dominated most by 'B' type (41.13%), followed by 'A' type (31.21%), 'C' type (19.15%) and 'Y' type (8.51%).

• The Journal of the Korea Contents Association
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• v.20 no.4
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• pp.406-415
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• 2020

This study applies Q methodology that can extract subjective opinion or recognition structure for each single household whose Meal Kit products developed and marketed by catering companies according to the demographic structure that changes socially. Implications were analyzed. As a result of subjective recognition type analysis in this study, four types were derived, and each type was named according to its specificity as follows. Type 1 (N = 6): Appearance Assessment Purchase Type, Type 2 (N = 6): Price Comparison Purchase Type, Type 3 (N = 10): Brand Trust Purchase Type, Type 4 (N = 2) : Easy Cooking Purchase Type was analyzed for each unique feature type. In this study, we analyzed the subjective opinion or recognition structure of single-person households whose Meal Kit products are the main demand groups, and suggested the direction and improvement measures for future food product development and launch for single-person households through the analysis by type. The purpose of this study is to provide academic implications based on the analysis results.

• Journal of the Ergonomics Society of Korea
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• v.13 no.2
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• pp.25-31
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• 1994

This research examines classifying and characterizing breast form's classification on elderly women, 242 subjects from 55 to 75 years of age participated. 27 direct anthropometric measurement were applied to classify the breast typesl. We analyzed measurement data using factor analysis, cluster analysis, analysis of variance. The results of the study were as follows. 1) 55-64 aged group was taller and higher than 65-79 aged group. Typical breast form in 55-64 aged group was more obese than breast form in 65-79 aged group. 2) We extracted 5 factors(obesity of breast, height of breast, height of breast items, location & size of breast, width of upper chest & shouldet length, height of breast & lower length of nipples) from total items through factor analysis. 3) Through cluster analysis, we categorized 3 clusters. Namely, type 1; characterized the best slender type, type 2; characterized middle sized type, type 3: characterized obesity type. Type 2 is the typical type on elderly women.

• The Research Journal of the Costume Culture
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• v.23 no.5
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• pp.894-905
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• 2015

The present study analyzed data from the 3D measurement of the feet of men aged over 20 years residing in the capital region as part of the 6th Anthropometry of Size Korea. To analyze the characteristics of the foot shapes of young men aged 20~39 years and middle-aged/elderly men aged 40~69 years by age and by type, a cluster analysis was conducted using the factors derived through the factor analysis as independent variables. The results of the study that analyzed the characteristics of foot shapes by type according to differences in age were as follows. First, through the analysis of the characteristics of the foot shapes of young men by type, five factors were extracted, and the foot shapes were classified into three types: Type 1 (short and flat), Type 2 (thick), and Type 3 (long and wide). Second, through the analysis of the characteristics of the foot shapes of middle-aged/elderly men by type, six factors were extracted, and the foot shapes were classified into four types: Type 1 (short and regular), Type 2 (flat), Type 3 (thick), and Type 4 (long and regular). The results of the present study are expected to serve as basic data for the design of shoes by age and foot type.