• Korean Journal of Human Ecology
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• v.16 no.1
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• pp.145-157
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• 2007

The purpose of this study was to identify Chinese university women's appearance management characteristics and clothing purchasing behavior. A self-administered questionnaire was used. Research period was 15th - 30th March. Frequencies, percent, factor analysis, cluster analysis, ANOVA, chi-square test were done. The results of study were: 1. The factors of appearance management characteristics were food management, skin care, weight control & tooth correction, nail & hair care, and use of identity kits. The factors of clothing selection criteria were outlook & appropriateness, management & service, fashion & brand, and individuality & price, and factors of information resources were marketer oriented & neutral and consumer oriented & store. 2. Chinese university women were segmented into positive appearance management group, food & skin management group, nail care & identity kits using group, and appearance management stagnated group. Positive appearance management group selected their clothing to pursuit individuality & relaxation, fashion, and conformity, considered fashion or brands more, used various information sources. Food & skin management group purchased their clothing for conformity. Nail care & identity kits using group considered management & service of clothing more, utilized consumer oriented & store information more. 3. Positive appearance management group were younger, and spent more pocket money and for their appearances. Food & skin management group were older, but nail care & identity kits using group were older. Appearance stagnated group spent less pocket money and appearance management.

• Journal of KIISE:Computing Practices and Letters
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• v.15 no.10
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• pp.776-780
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• 2009

As smartphones appear as suitable devices to implement ubiquitous computing recently, there are many researchers who study about personalized Intelligent services in smartphones. An intelligent synthetic character is one of them. This paper proposes a method generating behaviors of an intelligent synthetic character. In order to generate more natural behaviors for the character, the Bayesian networks are exploited to infer the user's states and OCC model is utilized to create the character's emotion. After inferring the contexts, the behaviors are generated through the behavior selection networks with using the information. A usability test verifies the usefulness of the proposed method.

• The Research Journal of the Costume Culture
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• v.17 no.1
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• pp.28-39
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• 2009

In this treatise, a survey was conducted on American female consumers to confirm the possibility of segmenting the American cosmetic industry by classifying lifestyles and analysing differences in consumer behavior, and also to provide global marketing strategy for entry into the American cosmetics industry by Korean companies. The results of the analysis provided three categories of American female consumer lifestyles. The first is the "practical conservative" type(58 people) who are fairly indifferent to or uninterested in external changes. The second is the "pro-active sensitive" type(48 people) who are interested in external changes and want to live a leading life. The last is the "neutral economical" type(54 people) who resemble characteristics that are in between the previous two types. The study has showed there was a difference in consumer motivation, considerations during selection, factors associated with shop choice according to consumer classification. It provides evidence that lifestyles can be a criteria in segmenting the American cosmetics market.

• Journal of the Korean Home Economics Association
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• v.28 no.3
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• pp.147-160
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• 1990

Family researchers had devoted little attention to Choice, Exchange theory by the time 1960. Being anchored by Thibaut & kelley(1959), this theory becomes one of the most widely used theoretical frameworks for family research. Waller's(1938) famous rating-dating hypothesis was intrinsically an exchange formulation. Blood and Wolfe(1960) employed the concept of rewards in their theory of family power. Farber(1964) also used the reward concept in his theory of permanent availability. Heer's(1964) specific application of its concepts to spousal power was among its earliest uses in the family. The general principle or most general proposition of the theory is that humans avoid costly behavior and seek rewarding statuses, to the end maxmize profits. This review will attempt to show that Choice, Exchange theory is applicable to the several arenas of family interaction and that it can provide an explanation for family behavior. Subjects such as mate selection, marital unstability, family cohesion, spousal power, the problems of aged, family co-unseling, and so on are included. By discussing research findings from a perspective of rewrds and costs this review will show that the application of the theory is not limited to one or two substative specialities with in the family domain. After all Choice, Exchange theory is truly general and can be productively applied to any domain of human behavior.

• Journal of the Korean Society of Clothing and Textiles
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• v.2 no.2
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• pp.253-260
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• 1978

The purpose of this study was to investigate whether or not the clothing behavior of house-wives in Seoul vary depending on their socioeconomic status. The null hypotheses tested in this study were as follows: 1) There are no differences in housewives' attitudes toward the importance of clothing according to their socioeconomic status. 2) There are no differences in housewives' criteria of clothing choice according to their socioeconomic status. 3) There are no differences in housewives' clothing taste according to their socioeconomic status. 4) There are no differences in the pattern of housewives' clothing purchase according to their socioeconomic status. In order to test these null hypotheses, questionnaires on clothing behavior and socioeconomic status were distributed to a sample of 243 purposively selected housewives in Seoul, Korea. The factor analysis, correlation and analysis of variance techniques were employed for the statistical analysis of data. The results indicated that: 1) The attitudes toward the importance of clothing was related to socioeconomic status. 2) The criteria of clothing choice (aesthetics-practicality), clothing taste (individuality-conformity), and the pattern of clothing purchase (a degree of rationality) were not related to socioeconomic status. 3) The criteria of clothing selection was related to housewives' level of education. 4) Clothing taste was related to housewives' age.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.14 no.10
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• pp.4847-4854
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• 2013

It can be said that nowadays, customers don't recognize that only good quality products as selection attribute regarding products quality can satisfy them. The case in service industries is also the same. Service quality is most affected by the criteria that customers themselves evaluate. Customers who are not satisfied with services provided institutions will disregard them. In consequence, this will affect their profitability. Collected questionnaires were analyzed using SPSS v.15 for the concrete proof analysis and the results are as follows. First, Service quality works as an important factors on customer's behavior. Second, Relationship quality serves as a mediated role between service quality and customer's behavior.

• Journal of the Korean Society of Clothing and Textiles
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• v.28 no.7
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• pp.927-938
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• 2004

The purposes of this study were to find the difference of clothing life-style and to examine clothing buying behaviors on personality types. Personality types were identified using Myers-Briggs Type indicator(MBTI). The data were collected from 360 female adults using a questionnaire to clothing lifestyle and clothing buying behavior. The data were analysed with factor analysis, one- way ANOVA and Duncan＇s multiple range test. Results are summarized as follows: First, ＇Fashion-oriented＇, ＇self-regulate-oriented＇, ＇activity-oriented＇, ＇economic-oriented＇, ＇social-oriented＇, ＇leisure-oriented＇ and ＇conservationoriented＇ clothing life-style had a significant difference of psychological types. Second, Extroverted(E) or Sensation(S) or Feeling(F) types regarded significantly higher in ＇VMD＇, ＇store atmosphere＇, ＇famous brand name and store name＇ as criteria for store selection than combination types(IN, IT, NT) of Introverted(Ⅰ), iNtuition(N), Thinking(T). Third, Sensation Judgement types(SJs) of a patron temperament preferred a ＇plan-oriented＇ life-style and considered ＇famous brand name and store name＇ important. Sensation Perceiving types(SPs) of an artist temperament had an ＇unplanned＇ clothing life-style and a significantly higher impulsive buying orientation than SJs.

• Journal of the Korean Home Economics Association
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• v.30 no.1
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• pp.11-24
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• 1992

The purpose of this study is to investigate the present states and preferences for a type of campus wear, the differences between the life-style variables and clothing behavior among school uniform students and non-uniform students, to explore variabels of the purchasing tendency in clothes of boys' and girls' high school students. The questionnaires were administered to samples of four boys' and girls' high schools respectively in Kwangju. The data from 522 respondants were analyzed in using Frequency and T-test. The results were as follows: 1. Most of schools are likely to take a school uniform system in the near future but students do not have favorable attitude against the system. 2. There were partly significant differences between the clothing behavior variables (boys : psychological dependence, comfort and atmosphere of the store, girls : downtown shopping) among school uniform students and non-uniform students. 3. There were partly significant differences between life-style variables(boys : leadership and social attitude, advertisement confidence, girls : price consciousness) among school uniform students and non-uniform students. 4. About 80% of the subject group planned their clothing purchase in advance, and their parents and friends influenced on clothing buying behaviors more then other fashion information sources, however, for the boy students the atmosphere of the store is most affecting variables. The store in which the subject group purchased clothing most frequently was a specialty fashion store. In clothing selection, aesthetic factors were showen as important factor and the most affecting mass media is TV.

• Fashion & Textile Research Journal
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• v.11 no.1
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• pp.48-56
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• 2009

The purposes of this study were to segment knit wear consumers by their lifestyles and to examine knit wear purchase behavior among the lifestyle segments. The subjects of this study were female consumers who were residents in Seoul and metropolitan areas. The researchers distributed the questionnaires and the final sample of 357 was used for the data analysis. The statistical analysis methods used for the study were factor analysis, cluster analysis, ANOVA, Duncan test, and ${\chi}^2$-test. The results showed that the lifestyle factors had 6 dimensions: fashion, planned purchase, socially active, impulsive consumption, brand, and leisure/culture. These factors were categorized into four groups: brand oriented group, passive group, rational/social group, and fashion/impulsive consumption group. The results also showed that there were significant differences among the groups in regard to knit wear purchase criteria, knit wear image preferences, and other knit wear purchase behaviors. For example, brand oriented group considered design and brand name/fashion important as knit wear selection criteria, and the group preferred an elegance image and a modern image than did other groups.

• Journal of the Korea Society of Computer and Information
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• v.21 no.1
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• pp.73-78
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• 2016

In wireless sensor networks, sensors have capabilities of sensing and wireless communication, computing power and collect data such as sound, movement, vibration. Sensors need to communicate wirelessly to send their sensing data to other sensors or the base station and so they are vulnerable to many attacks like garbage packet injection that cannot be prevented by using traditional cryptographic mechanisms. To defend against such attacks, a behavior-based attack detection is used in which some specialized monitoring nodes overhear the communications of their neighbors(normal nodes) to detect illegitimate behaviors. It is desirable that the total sensing area of normal nodes covered by monitoring nodes is as large as possible. The previous researches have focused on selecting the monitoring nodes so as to maximize the number of normal nodes(node coverage), which does not guarantee that the area sensed by the selected normal nodes is maximized. In this study, we have developed an algorithm for selecting the monitoring nodes needed to cover the maximum sensing area. We also have compared experimentally the covered sensing areas computed by our algorithm and the node coverage algorithm.