• Journal of the Korean Home Economics Association
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• v.35 no.2
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• pp.123-135
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• 1997

The purpose of this study was to examine the effect of textile materials on children's clothing purchase according to types of clothings. In addition, textile fiber preference on the types of children's clothings was investigated. The subjects were 307 mothers with preschool children(4-6 yrs) in Seoul. The data were gathered by questionnaire and analyzed by analysis of variance and crosstabulation analysis. The results were as follows. 1) Textile materials were major consideration in purchasing children's clothings especially underwear. 2) There were significant differences in the perception of importance on textile material properties according to types of children's clothings. 3) Preferable fibers varied according to children's clothing types. 4) Relationship between fiber preference on the children's clothing types and demographic variables of mothers was not found except education and income in casual wear.

• Computers and Concrete
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• v.29 no.3
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• pp.145-159
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• 2022

In this study, the extreme learning machine and deep learning models were devised to estimate the bond strength of corroded reinforcement in concrete. The six inputs and one output were used in this study. The compressive strength, concrete cover, bond length, steel type, diameter of steel bar, and corrosion level were selected as the input variables. The results of bond strength were used as the output variable. Moreover, the Analysis of variance (Anova) was used to find the effect of input variables on the bond strength of corroded reinforcement in concrete. The prediction results were compared to the experimental results and each other. The extreme learning machine and the deep learning models estimated the bond strength by 99.81% and 99.99% accuracy, respectively. This study found that the deep learning model can be estimated the bond strength of corroded reinforcement with higher accuracy than the extreme learning machine model. The Anova results found that the corrosion level was found to be the input variable that most affects the bond strength of corroded reinforcement in concrete.

• Journal of Information Technology Applications and Management
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• v.29 no.2
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• pp.17-25
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• 2022

Although the two types of currencies compete, the possibility of a virtual currency price bubble is diagnosed by assuming an economic model with currencies (won, virtual currency) that are intrinsically worthless. The won is supplied by the central bank to achieve the price stability target, while the supply of virtual currency increases by a fixed number. According to the basic price theory equation, as a simple proposition, cryptocurrency prices form a Martin Gale process [Schilling and Uhlig, 2019, p.20]. Based on the existing theoretical proposition, we applied the variance ratio verification method [Linton and Smetanina, 2016] and a simple technical chart method for empirical analysis. For the purpose of this study, the possibility of a bubble was empirically analyzed by analyzing the price volatility formed in the Korean virtual currency market over the past year, and brief policy implications for this were presented.

• The Magazine of the Society of Air-Conditioning and Refrigerating Engineers of Korea
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• v.14 no.3
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• pp.175-186
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• 1985

This paper presents a method for estimating the useful output of solar space heating system and estimates their performance with variance of collector size, storage volume, collector tilt and other factors . The analysis is performed by the computer simulation and by 'running' conceptual systems against solar intensities and ambient temperature for a model year stored in a computer. System performance is analyzed on monthly and yearly basis respectively and at the same time, the economics of various systems are evaluated . And also, this paper shows how an optimized design can be selected for any locality for which solar data, economic parameters and system performance are provided. It is shown that storage volume of 75 liter per $m^2$ of solar collector lead to the best design.

• Journal of the Korean Society of Clothing and Textiles
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• v.12 no.1 s.26
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• pp.53-68
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• 1988

The purpose of this study was to investigate the clothing buying behaviorial pattern and the differences of clothing buying behaviors by the demographic variables. For the measurement of clothing buying behavior, the researcher developed a questionnaire. This questionnaire was adjusted by preliminary test. Data were collected from 494 women dwelling in Seoul, Busan, Daegu. For statistical analysis, frequency, percentage, average, standard deviation, paired t-test, $X^2-test$, one way analysis of variance, Duncan's multiple range test were used. The results were as follows: 1. The $57\%$ of the subject group planned their clothing purchase in advance, ana their friends affected clothing buying behaviors more than other fashion information sources. The store in which the subject group purchased clothing most frequently was a department store. In clothing selection, hygienic factor and aesthetic factor were shown as important factors. 2, There were significant differences in clothing buying behaviors according to demographic variables.

• Proceedings of the Korean Geotechical Society Conference
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• 1991.10a
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• pp.289-311
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• 1991

Analysis of supported excavation system by Elasto-Plastic Isoparametric Finite Element Method and Elasto-Plastic Beam Method have been conducted for the simulation of stepwise underground excavation. Conventional methods, fixed Supported Beam and Spring Supported Beam method, also have been examined and compared with the results of elasto-plastic beam method and field data. Except unavoidable result of upward ground settlement near the top of retaining wall and relatively high bending moment of wall at each excavation level, satisfactory results have been derived using elasto-plastic isopara metric finite element method. The results from elasto-plastic beam analysis program, developed by the author, are proved to be fit field data in acceptable variance as shown in the paper. Displacement and bending moment, of the wall by conventional methods, both fixed supported beam and spring supported beam, are always underestimated than field data, and attention must be given that the diffence increases with deeper excavation depth and lower horizontal subgrade reaction of the ground.

• Journal of the Korean Society of Clothing and Textiles
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• v.11 no.3 s.25
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• pp.111-119
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• 1987

The main purposes of the study were to categorize the clothing items into product groups according to their product characteristics, and to find out the differences of consumer perception on clothing Product groups among different age and socioeconomic groups. A questionnaire about characteristics It?as constructed on the basis of Lipton, Darling, and Miracle's theories on product categorisations. The questionnaires were administered to female subjects in two age groups (20's and 40's) living in Seoul. Subjects were classified into 3 socioeconomic groups for the analysis. The Analysis of variance, post-hoc comparisons (Scheffe test and Tuckey test) were employed for the statistical inferences. The results were as follows ; Group I : none Group II : socks, undershirts, T-shirts (20's age group) Group III : blouse, sweater, blue jean, pajama, langerie, T-shirts (40's age group), skirt Group IV : jacket, skirt (high class of 40's age group) two-piece, half coat, long coat, Korean folk costume Group V : none Some of the clothing items were categorized into different product groups by different age and socioeconomic groups.

• Journal of the Korean Society of Clothing and Textiles
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• v.25 no.3
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• pp.537-547
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• 2001

The purpose of this study was to develop the measurement of the fashion sensibility. The stimulus were 91 photos selected in fashion magazines and had dominant visual power under detail, color, texture and pattern in the elements of fashion design. The semantic differential scale was constructed bipolar 25 pairs. The obtained data were analyzed by cluster analysis, factor analysis, ANOVA and t-test. The results were as follows; 1. The hierarchical structure was combined a natural and interesting, sensitive and lovely fashion sensibility. 2. The constructing factors of fashion sensibility were found out as aesthetic value, maturity, character and femininity·masculinity.(total variance: 55.7%) 3. Fashion sensibility by elements of fashion design was significantly different regarding all factors. 4. Fashion sensibility by demographic variables sex, age, marriage, education, occupation and expenditure was significantly different regarding partial factors.

• Journal of Navigation and Port Research
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• v.27 no.5
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• pp.487-492
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• 2003

The paper describes on the implementation of marine casualty prediction model that is one of the main part of Korean MArine Casualty FOrecasting System (K-MACFOS). In this work, Cell Distributed Linear-In-the-Parameter (CD-LIP) model is proposed and discussed its usability with comparing Baltic model and revised LIP model. As evaluation results by regression analysis of variance, it is known that the CD-LIP model gives best performance to the marine casualty numerical D/B of the target sea area.

• Korean Journal of Air-Conditioning and Refrigeration Engineering
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• v.3 no.5
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• pp.404-414
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• 1991

The purpose of this study is to compare the amount of heating, domestic hot water, and cooking fuel consumption with that of heating fuel consumption by the existing calculation method and to provide rational heating system design and energy conservation through presenting the simplified equation which can anticipate the amount of heating, domestic hot water, and cooking and the load mechanical equipments. The affecting factors to the amount of energy consumption are the case of Heating, Domestic Hot Water and Cooking in addition to the energy conservation intention.