• The Research Journal of the Costume Culture
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• v.7 no.1
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• pp.1-12
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• 1999

Analysis of Customer Characteristics on Environment-Friendly Clothing Products The purpose of this study is to analyze the characteristics of the environment-friendly customers in Korean fashion market. The study is analyzed through questionary paper to the domestic female group of more than or equal to age of twenty living in Seoul. The collected questionary paper is analyzed with SPSS/PC/sub +/ program and the method of statistical analysis used for this study is frequency analysis, factor analysis, cluster analysis, t-test, and crosstab analysis. The result of analysis of the characteristics of the environment -friendly customers involves the following: Firstly, there were no significant difference in the demographic characteristics between the environment-friendly customer group and non-environment-friendly customers group. Secondly, environment-friendly customers had more environmental programs, had seen and heard more environmental program through current news from TV, newspapers, and magazines, and had more interest in recycling or separated collecting of garbage, and been doing better recycling or separated collecting. These serial processes of research, have the meaning in confirming that segmented market for environment-friendly customers exists in the domestic fashion market, and these will not only set up the basis of research on the market of environment-friendly fashion product but also be able to contribute to propose future direction of research.

• Journal of the Korea Fashion and Costume Design Association
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• v.14 no.4
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• pp.163-177
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• 2012

The purposes of this study were to investigate female adolescents' attitude toward the social instrumentality of appearance and to examine the effects of the attitude toward the social instrumentality of appearance on female adolescents' body satisfaction and appearance management behaviors. The subjects for this study were 435 female middle school and high school students in Daejeon and Chungnam province. The research method was a survey and the measuring instruments were a self-administrated questionnaire with 4 parts (social instrumentality of appearance, body satisfaction, appearance management behaviors, and subjects' demographics attributions). The data were analyzed by Cronbach's ${\alpha}$, factor analysis, cluster analysis, ${\chi}^2$ test, t-test, using SPSS statistical program. The results were as follows. Three dimensions (the utility of interpersonal relationship, sexual partnership and social achievement) were emerged on social instrumentality of appearance, and female adolescents were divided into 2 groups(unreceptive group and receptive group) by social instrumentality of appearance. Social instrumentality of appearance had significant effects on female adolescents' body satisfaction and appearance management behaviors. The group who had receptive attitude toward the social instrumentality of appearance was showed the lower body satisfaction and more positive attitude to perform appearance management behaviors including clothing and accessories management, fitness, skin and hair care, and plastic surgery than unreceptive group.

• The Bulletin of The Korean Astronomical Society
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• v.41 no.1
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• pp.34.2-34.2
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• 2016

X-ray cavities are typically detected as surface brightness depression in X-ray diffuse emission from hot gas in high resolution X-ray images (i.e., Chandra and XMM-Newton). Showing the coincidence of location with radio jets, X-ray cavities imply that the radio jets interact with interstellar/intergalactic medium. It is important to understand them since they can be a clue of understanding AGN feedback to their host galaxies. To understand the physics of the AGN feedback, X-ray cavity has been actively studied while there are only a few statistical studies on X-ray cavity based on small or incomplete samples. Hence, a systematic study with a large sample is needed. With the condition of sufficient X-ray photons to detect surface brightness depression, we constructed a large sample of 133 galaxy clusters, galaxy groups, and individual galaxies to investigate X-ray cavities. We detected 201 cavities from 94 objects using two detection methods (i.e., beta-modeling and unsharp masking method), and confirmed the cavity size-distance relation over a large dynamical range. The size-distance relation does not vary for different environments (i.e., galaxy cluster, groups, and individual galaxies), suggesting that there is little environmental effect on the formation of X-ray cavity.

• Journal of the Korean housing association
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• v.21 no.4
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• pp.81-88
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• 2010

Recently, house demander's needs has diversified in the increasingly by the drastic change in the social environment, changes in family structure and population, the growing interest of living environment. So in the future, housing supply to respond to a variety of housing needs is absolutely necessary to differentiate. The purpose of this study is to analyze the lifestyle types of middle-aged married women with high purchasing power in the current housing market and propose the dwelling style by housing awareness and needs analysis. To collect the data, LOV survey method was used for 528 residents in Seoul and metropolitan area. The data analysis used SPSS PC 14.0 to find the frequency, chi-square, factor analysis, and cluster analysis. The results of analysis are as follows: First, the lifestyle was segmented into four groups such as Conservative goal-achieving lifestyle, Individual self-developing lifestyle, Positive self-trusting lifestyle, Outgoing trend-seeking lifestyle. Second, largely the dwelling style according to lifestyle types was divided into living room-kids room type and living room-kitchen type. Third, there were different preferences on the each type of housing space and the $\alpha$-space by different clusters.

• Journal of the Korean housing association
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• v.18 no.4
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• pp.9-15
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• 2007

Recently elderly has been recognized as a healthy and active generation because of extended average life span by medical development, interests in health, and achieved economic power while elderly was regarded as a passive and dependant generation before. The primary purpose of this study was to analyze the lifestyle types and housing consciousness of the middle ages around fifty's who will have more inclinations in the future to consider the hosing problems of elderly. To collect the data, LOV survey method was used for 600 middle ages about their lifestyles and future housing types. The data analysis used SPSS PC 12.0 to find the frequency, chi-square, factor analysis, and cluster analysis. The results of analysis are as follows: First, the lifestyle was segmented into five groups and there were differences on demographics such as education and income, also on housing sizes and types of home-ownership types. Second, there were different preferences on the types of senior housing by different lifestyles whereas there were similar on the location and sizes of houses by different clusters.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2013.10a
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• pp.97-100
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• 2013

In this paper, we propose a detection method of the character rather than cursive, containing many components of the vertical and horizontal direction in complex background image. The characters have many dense corners but the background has few sparse corners. So we use harris corner detector and cluster the corners by using the position of the detected corners for detecting character regions. To merge or filter character regions, we analysis a histogram of gray image of character regions. In each improved region, we compare histograms of R, G, B channels to detect characters.

• Journal of Information Processing Systems
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• v.8 no.2
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• pp.359-374
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• 2012

In this paper, we propose a new machine vision algorithm for automatic defect detection on patterned textures with the help of texture-periodicity and the Jensen-Shannon Divergence, which is a symmetrized and smoothed version of the Kullback-Leibler Divergence. Input defective images are split into several blocks of the same size as the size of the periodic unit of the image. Based on histograms of the periodic blocks, Jensen-Shannon Divergence measures are calculated for each periodic block with respect to itself and all other periodic blocks and a dissimilarity matrix is obtained. This dissimilarity matrix is utilized to get a matrix of true-metrics, which is later subjected to Ward's hierarchical clustering to automatically identify defective and defect-free blocks. Results from experiments on real fabric images belonging to 3 major wallpaper groups, namely, pmm, p2, and p4m with defects, show that the proposed method is robust in finding fabric defects with a very high success rates without any human intervention.

• Journal of the Korean Institute of Intelligent Systems
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• v.13 no.5
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• pp.512-519
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• 2003

In this paper, we propose a neuro-fuzzy modeling to improve the performance using the hierarchical clustering and Gaussian Mixture Model(GMM). The hierarchical clustering algorithm has a property of producing unique parameters for the given data because it does not use the object function to perform the clustering. After optimizing the obtained parameters using the GMM, we apply them as initial parameters for Adaptive Network-based Fuzzy Inference System. Here, the number of fuzzy rules becomes to the cluster numbers. From this, we can improve the performance index and reduce the number of rules simultaneously. The proposed method is verified by applying to a neuro-fuzzy modeling for Box-Jenkins s gas furnace data and Sugeno's nonlinear system, which yields better results than previous oiles.

• Journal of Digital Convergence
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• v.11 no.11
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• pp.343-349
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• 2013

Rough set theory comes to derive optimal rules through the effective selection of features from the redundancy of lots of information in data mining using the concept of equivalence relation and approximation space in rough set. The reduction of attributes is one of the most important parts in its applications of rough set. This paper purports to define a information-theoretic measure for determining the most important attribute within the association of attributes using rough entropy. The proposed method generates the effective reduct set and formulates the core of the attribute set through the elimination of the redundant attributes. Subsequently, the control rules are generated with a subset of feature which retain the accuracy of the original features through the reduction.

• Korean Journal of Human Ecology
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• v.10 no.1
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• pp.49-58
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• 2007

The purpose of this study was to investigate to relation between body satisfaction, attitude toward appearance and clothing of high school students. Method of posing a questionnaire is adopted to obtain stochastic data required for pertinent analysis. This is the investigation of which 356(male 169, female 187) high school students located in Choongnam and Junrabookdo province. In this statistical analysis, SPSS 11.5 for Windows Program was utilized to calculate percentage, mean and standard deviation, Factor analysis, Cluster analysis, t-test, One-way Anova, Duncan' multiple range, Pearson's correlation coefficient. The results of this research were as follows: The results of analysing the factors to the response body satisfaction, attitude toward appearance emerged three dimensions(Waist & hip, face, stature & figure part), three dimensions(needs value conformity toward appearance). Sex have significant effects on the body satisfaction, attitude toward appearance and clothing of high school students. Body satisfaction of high school students had an effects on attitude toward appearance and clothing attitude i. e. sexual attractiveness, fashion pursuit, modesty. Body satisfaction had negative correlations with attitude toward appearance and modesty of clothing. However, body satisfaction had positive correlations with sexual attractiveness and self-expression of clothing. As a conclusion, high school students' body satisfaction and attitude toward appearance constituted important characteristics which could affect clothing attitude directly.