• Journal of the Korean Data and Information Science Society
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• v.5 no.1
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• pp.1-10
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• 1994

Projection pursuit(PP) is a computer-intensive method which seeks out interesting linear projections of multivariate data onto a lower dimension space by machine. By working with lower dimensional projections, projection pursuit avoids the sparseness of high dimensional data. We show through simulation that two projection pursuit discriminant mothods proposed by Chen(1989) and Huber(1985) do not improve very much the error rate than the existing methods and compare several classification procedures.

• Journal of the Korea Fashion and Costume Design Association
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• v.16 no.1
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• pp.65-76
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• 2014

The purpose of this study is to examine the influence of conspicuous consumption on wearing attitude of jeans and analyze the difference of purchasing behavior in jeans by gender. Questionnaires were administered to 386 college students living in Deagu and Busan province. Frequency, factor analysis, reliability analysis, regression analysis, t-test, and $X^2$-test were used for data analysis. Conspicuous consumption were categorized into 5 factors such as famous brand preference, brand conspicuous, fashion pursuit, symbol of social position, and imported goods pursuit. Wearing attitude of jeans was categorized into fashion information leadership, fashion innovation, and pursuit of economic. The result of this study showed brand conspicuous, fashion pursuit, symbol of social position, and imported goods pursuit had significant effect of fashion information leadership and brand conspicuous, fashion pursuit, and imported goods pursuit had significant effect of fashion innovation. Brand conspicuous, and symbol of social position had significant effect of pursuit of economic. The indicates that men showed high brand conspicuous of conspicuous consumption and fashion innovation of wearing attitude of jeans. Gender of college students showed significant differences in purchasing place, purchasing price.

• Journal of Fashion Business
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• v.26 no.5
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• pp.22-35
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• 2022

This study examines the image pursuit behavior according to body surveillance, body shame of image-based SNS-used women. Questionnaires were administered to 215 SNS-used women aging between 20 to 30 years old. The SPSS 25.0 package was utilized for data analysis, which included frequency analysis, factor analysis, Cronbach's α, correlation analysis and regression analysis. The study analyzed the relationship between body surveillance, body shame single factor, and subfactors of image pursuit behavior(conformity, instrumentality, fashion pursuit, attractiveness pursuit, ostentation pursuit, interpersonal). It was observed that body surveillance and body shame had a positive influence on all the factors of image pursuit behavior. Body surveillance demonstrated a high influence on attractiveness pursuit while body shame demonstrated a high influence on ostentation pursuit. Body surveillance had a positive influence on body shame. These results provide useful information for understanding the influence of social media on the psychological attitude and consciousness of women with regard to their body and image pursuit behavior. In addition, results from this study will help to systematize women's theoretical physical consciousness, establish product strategies for physical appearance-related industries, and set marketing directions.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.41 no.6
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• pp.628-630
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• 2016

Compressive sensing can recover an original sparse signal from a few measurements. Its performance is affected by the number of non-zero elements in the signal. The knowledge of partial locations of non-zero elements can improve the recovery performance. In this paper, we apply the partial location knowledge to the multipath matching pursuit. The numerical results show it improves the signal recovery performance and the channel estimation performance in the ITU-VB channel.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.10a
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• pp.532-535
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• 2022

Path following algorithms have been intensively studied for various mobile platforms such as planetary exploration, unmanned delivery, and autonomous driving. However, ensuring high accuracy in practical applications is challenging due to enormous uncertainty inherent in real environment. In this paper, we aim to reveal the guideline for the design and implementation by investigating the path following performance of mobile robot controlled by the pure pursuit algorithm. To this end, we evaluate the accuracy of the pure pursuit algorithm when tuning the look ahead distance and deploying erroneous actuator.

• The Research Journal of the Costume Culture
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• v.6 no.4
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• pp.104-119
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• 1998

The purpose of this research were to classify college women's clothing shopping orientation and analyze the predictable variables of impulse buying. The results of this research were as follows ; 1. Clothing shopping orientation was classified leisure pursuit, economic, careful and name brand preferring shopping. With reference to leisure pursuit and economic shopping, they were classified into four types, low shopping involved shopping type, economic shopping type, leisure pursuit shopping type, and high shopping involved shopping type. The low shopping-involved and the economic shopping types made much of planned buying. The planned impulse buying, reminder impulse buying, fashion oriented impulse buying and pure impulse buying were highly evaluated in the high-involved and the leisure pursuit shopping types. 3. The high shopping-involved and leisure pursuit shopping types were more likely to do impulse buying than low shopping-involved and the economic shopping types. 4. The most important factor for the four groups was design. Quality, color, utility were followed by design. 5. Impulse buying behaviors of four groups could be predicted by the information source and the marketing stimulus buying.

• Fashion & Textile Research Journal
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• v.22 no.3
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• pp.323-334
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• 2020

This study analyzed the effects of consumers' characteristic variables on information search and purchase decisions in a decision-making process that validated the path model in purchasing apparel products. In constructing a structural equation model using AMOS 19.0., the variables including enjoyment pursuit, price pursuit, product involvement and product risk were selected as consumers' characteristic variables affecting the stage of information search. A questionnaire was distributed to consumers over 20 years old who purchased apparel products using offline and online channels within one year; consequently, we were able to analyze 468 effective data. The results were as follows. First, the path model of this research proved to be the appropriate model explaining the effects of consumers' characteristic variables on the stage of purchase decision-making. Second, enjoyment pursuit had a significant positive influence on offline information search; in addition, price pursuit and product risk affected the online information search significantly. Product involvement affected online information search as well as offline information search. Third, the offline information search affected offline purchase and online information search affected online purchase. However, consumer's channel switching behavior between the stage of information search and the stage of purchase decision was not proven. The findings suggest that companies need to develop distribution strategies according to consumers' characteristic factors that effect consumer's purchase decision-making.

• Journal of the Korea Fashion and Costume Design Association
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• v.19 no.1
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• pp.1-14
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• 2017

The purpose of this study is to classify the environmental awareness attitudes of university students and analyze their differences in social support pursuit, and apparel consumption behavior. Questionnaires were administered to 236 college students living in Daegu City and Kyoungbuk province. Frequency, factor analysis, reliability analysis, cluster analysis, ANOVA, Duncan-test, and t-test were used for data analysis. The findings were as follows. The environmental awareness attitudes had factors as recognizing the importance of environmental issues, purchase of eco-friendly products, public opinion legislation awareness, interests on eco-friendly product, and eco-friendly practice. Social support pursuit were found as marginal people support pursuit, emotional support pursuit, informational support pursuit, and problem-solving support pursuit. Apparel consumption behavior were found as planned purchase, social participation attitude, clothes recycling, life practice, low-price orientation, emphasis on designs, clothing-life practice, and consciousness over others. The environmental awareness attitudes of university students were classified into four groups of Consumers of Environment-Awareness, Consumers of Environment-interests, Consumers of Environment-practice, and Consumers of Low Environment-awareness. The groups showed significant difference in social support pursuit, and apparel consumption behavior. Gender of university students showed significant differences the environmental awareness attitudes, social support pursuit, and apparel consumption behavior. It is meaningful to find out the significant relationship in a social context between environment recognition and social support pursuit related by friends. This study also offered a basic information related to social support pursuit by the types of university students' environmental awareness attitude and consumption on clothing, which is necessary for environmental education and green consuming behavior.

• Journal of the Korea Fashion and Costume Design Association
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• v.3 no.2
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• pp.23-34
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• 2001

This study aimed to investigate the Bobos style which represents new upper class in the information age and has influence on fashion world, and present the marketing strategy for that. As a result, Bobos' buying behavior of fashion goods and marketing strategy for that were as follows. The first, Bobos fashion style and their characteristics of buying behavior were 1. the pursuit of luxury and high quality 2. the pursuit of blending taste and of the traditional bourgeois and the bohemians 3. the pursuit of utility and practical thing 4. the pursuit of self expression and sense 5. the pursuit of natural and antique taste 6. pursuit of cultural and artistic aspect. The second, marketing strategy for Bobos' buying behavior of fashion goods were as follows. 1. Blending of the traditional prestige and freedom should be reflected on fashion goods. 2. The utility and natural style of fashion goods are needed. 3. The non-conspicous self expression and artisticㆍcultural taste should be reflected on fashion goods.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.49 no.2
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• pp.122-129
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• 2012

As a greedy algorithm reconstructing the sparse signal from underdetermined system, orthogonal matching pursuit (OMP) algorithm has received much attention in recent years. In this paper, we present an extension of OMP for pursuing efficiency of the index selection. Our approach, referred to as generalized OMP (gOMP), is literally a generalization of the OMP in the sense that multiple (N) columns are identified per step. Using the restricted isometry property (RIP), we derive the condition for gOMP to recover the sparse signal exactly. The gOMP guarantees to reconstruct sparse signal when the sensing matrix satisfies the RIP constant ${\delta}_{NK}$ < $\frac{\sqrt{N}}{\sqrt{K}+2\sqrt{N}}$. In addition, we show recovery performance and the reduced number of iteration required to recover the sparse signal.