• Journal of the Korean Society of Clothing and Textiles
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• v.23 no.8
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• pp.1194-1205
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• 1999

The hand characteristics of bast blended fabrics are studied by a subective evaluation method. To offer basic data for development of better hand of bast fiber fabrics customer's hand preference surveys are executed as well. IN this study 51 varieties of linen or ramie blended fabrics of various blending ratio density and thickness and Hansan ramie Chinese ramie and a Shingosen fabics of various blending ratio density and thickness and Hansan ramie Chinese ramie and a Shingosen farbic and used. To evaluate the hand of the fabrics subjectively nine ranks' semantic differential scale questions of 26 items are developed with adjective pairs. A seven ranks' scale is also developed to evaluate hand preferences in blouse and jacket cloths, Through subjective evaluation of bast blended fabrics the 26 items could be classified into seven kinds of hand classification : surface characteristics extensibility/drapability felling of heaviness stiffness resilience moisture property and feeling of density. The cumulative variance value explained by these seven factors is 67.18% According to the results of fabrics' preference by age groups no significant differences are found in blouse cloths but a few significant differences are found among different age groups in jacket clothes. However experts and non-experts show considerable differences on preference It can be concluded that fabrics' preference I more dependent on professionality than on age. In the survey experts. However more drapery cloths are preferred by experts and cloths with drier touch are preferred by non-experts. Experts prefer rougher less even less winding heavier and sparser fabrics but non-experts prefer rougher lighter thinner and stiffer fabrics as jacket cloths.

• Science of Emotion and Sensibility
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• v.8 no.4
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• pp.355-363
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• 2005

The adjectives for represnting emotions is important to evaluate and select the colors or color patterns. In this paper, we perform the MDS analysis, factor analysis, and cluster analysis to the Soen's experimental data obtained from the evaluation of random color patterns with 13 adjective pairs. As a result, those adjectives can be reduced 3 different factors representing emotions of weight, activity and temperature, which is approximately corresponds the results of previous researches on single colors. Also, we show that the adjectives for preference can be approximate4 by other primary adjectives for color patterns using regression analysis. This implies that one can construct a uniform emotion space for evaluating and selecting color patterns regardless of objects such as wall papers, carpets, and so on.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2008.10a
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• pp.74-77
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• 2008

Online shoppers are not able to try clothing on. Therefore, the pictures of clothing on the website play a significant role when shoppers make decision on their purchase. There are generally three different ways to show clothing at online shops. The first one is showing only clothing images, and the second one is showing the pictures that have actual fitting models wearing clothing on (In this case, Model's face is mostly not shown in the picture.), and the third is showing the pictures of professional fitting models who wear goods. The shopping malls adopt each of the different ways but little is known about affect on purchasing from these three ways. The aim of this study is to figure out how the online shopper's emotional status is affected by these three ways of presenting pictures of clothing. At first, we developed a set of adjective words of human emotion to set up the evaluation criteria for user's emotional status. Those adjectives are originally from the precedent research on human emotion. To cut 99 adjectives down to a proper number for the criteria, we conducted a preliminary survey, and finally, 5 adjectives are selected as appropriate criteria for evaluating users' emotional status while they are shopping. Those five adjectives are 'possess','sensual', 'unique', 'tasteful', and 'stylish'. Then, we conducted the main survey showing 10 kinds of cloth (each cloth was consist of 3 ways). And in the page of model images, we measured the model's preference for understanding the relation with customer's emotion criteria of the product. As a result of the test there was statistically significant difference between product only images and anonymous images, but there was no significant difference between anonymous images and model images. And the preference of the model and value of the emotion criteria have large correlation except 'unique' criteria. It is expected that the result in this study will help to build new marketing strategy which satisfy customers' emotion.

• Asian review of World Histories
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• v.1 no.1
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• pp.5-44
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• 2013

This essay offers a historically based critique of the idea of "alternative modernities" that has acquired popularity in scholarly discussions over the last two decades. While significant in challenging Euro/American-centered conceptualizations of modernity, the idea of "alternative modernities" (or its twin, "multiple modernities") is open to criticism in the sense in which it has acquired currency in academic and political circles. The historical experience of Asian societies suggests that the search for "alternatives" long has been a feature of responses to the challenges of Euromodernity. But whereas "alternative" was conceived earlier in systemic terms, in its most recent version since the 1980s cultural difference has become its most important marker. Adding the adjective "alternative" to modernity has important counter-hegemonic cultural implications, calling for a new understanding of modernity. It also obscures in its fetishization of difference the entrapment of most of the "alternatives" claimed--products of the reconfigurations of global power--within the hegemonic spatial, temporal and developmentalist limits of the modernity they aspire to transcend. Culturally conceived notions of alternatives ignore the common structural context of a globalized capitalism which generates but also sets limits to difference. The seeming obsession with cultural difference, a defining feature of contemporary global modernity, distracts attention from urgent structural questions of social inequality and political injustice that have been globalized with the globalization of the regime of neoliberal capitalism. Interestingly, "the cultural turn" in the problematic of modernity since the 1980s has accompanied this turn in the global political economy during the same period. To be convincing in their claims to "alterity", arguments for "alternative modernities" need to re-articulate issues of cultural difference to their structural context of global capitalism. The goal of the discussion is to work out the implications of these political issues for "revisioning" the history and historiography of modernity.

• Journal of Korean Academy of Nursing
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• v.24 no.2
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• pp.175-189
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• 1994

This study examined the daily rhythmic patterns of mood in shift workers. Ten rotating shift nurses (shift worker group) were matched with ten non-rotating student nurses (non - shift worker group) working under the same conditions at University Hospital. The subjects completed the Mood Adjective Checkist (MAC) every two or three hours from 6AM to 9-11 PM for six consecutive days. The MAC was constructed by Mansour and conversed the mood factors of Anger - Depression. Happiness, Mental, and Social. These data were analyzed by using Cosinor method. The results are summarized as follows : 1. There was no difference in mean scores for Anger - Depression, Happiness, Mental, and Social mood rhythm between the shift workers and the non - shift workers. 2. There was no difference in the amplitude of Anger - Depression, Happiness and Social mood between the two groups, but the shift workers had a higher amplitude of Mental mood. 3. The acrophases of the Anger - Depression mood were between 1:28 and 2:05, and those of Happiness, Social, and Mental mood were between 12:5 and 15:03 for both groups. There were no differences between the groups. 4. The number of the subjects with statistically significant mean cosinor rhythms for Anger-De-pression and Mental moods were higher in the shift workers than in the non-shift workers, but there were no differences between the shift workers and the non-shift workers in those of Happiness and Mental mood. This study showed that the mod manifested circadian periodicities, and a rapidly rotating shift system did not changed the circadian rhythm of mood. It is expected that this study will facilitate a better understanding of circadian rhythm in mood in the shiftworkers.

• Journal of Digital Contents Society
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• v.19 no.1
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• pp.133-140
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• 2018

Accurate sentiment classification is an important research topic in sentiment analysis. This study suggests an efficient classification method of Korean sentiment using word2vec and ensemble methods which have been recently studied variously. For the 200,000 Korean movie review texts, we generate a POS-based BOW feature and a feature using word2vec, and integrated features of two feature representation. We used a single classifier of Logistic Regression, Decision Tree, Naive Bayes, and Support Vector Machine and an ensemble classifier of Adaptive Boost, Bagging, Gradient Boosting, and Random Forest for sentiment classification. As a result of this study, the integrated feature representation composed of BOW feature including adjective and adverb and word2vec feature showed the highest sentiment classification accuracy. Empirical results show that SVM, a single classifier, has the highest performance but ensemble classifiers show similar or slightly lower performance than the single classifier.

• Journal of the Korean Institute of Intelligent Systems
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• v.9 no.5
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• pp.526-537
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• 1999

In the paper. we propose an evaluation model based the adaptive fuzzy systems, which can transform the physical features of a color pattern to the emotional features. The model is motivated by the Soen's psychological experiments, in which he found the physical features such as average hue, saturation, intensity and the dynamic components of the color patterns affects to the emotional features represented by a pair of adjective words having the opposite meanings. Our proposed model consists of two adaptive fuzzy rule-bases and the y-model, a l i r ~ r ys et operator, to fuze the evaluation values produced by them. The model shows con~parablep erformances to the neural network for the approximation of the nonlinear transforms, and it has the advantage to obtain the linbwistic interpretation from the trained results. We believe the evaluated results of a color pattern can be used to the emotion-based color image retrievals.

• Archives of design research
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• v.15 no.3
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• pp.271-280
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• 2002

These days information technology and internet have made startling progress. In these developing environments, the strategy or marketing based on existing off-line is getting more difficult to accomplish the role of the improvement of business competitive power, and they are bringing out a lot of changes in information management and marketing performance method about consumers due to digital networking between companies and consumers. These developments and changes make many varieties in the way of design studying methodology. Therefore, in this study, considering the aspects of design, society and environment, after I developed the consumer response framework about products design which is argued by Bloch(1995) ; distinct relationship model among preference degree- design image adjective - design factors, we established design information abstraction solution combined with the interaction based on IT as eCRM in real time. This suggested solutions will provide product designers with good information in finding the design factors which consumers prefer.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.21 no.2
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• pp.423-428
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• 2017

These days, various and tons of education information are rapidly increasing and spreading due to Internet and smart devices usage. Recently, as e-Learning usage increasing, many instructors and students (learners) need to set a goal to maximize learners' result of education and education system efficiency based on big data analytics via online recorded education historical data. In this paper, the author applied Word2Vec algorithm (neural network algorithm) to find similarity among education words and classification by clustering algorithm in order to objectively recognize and analyze online recorded education historical data. When the author applied the Word2Vec algorithm to education words, related-meaning words can be found, classified and get a similar vector values via learning repetition. In addition, through experimental results, the author proved the part of speech (noun, verb, adjective and adverb) have same shortest distance from the centroid by using clustering algorithm.

• Journal of the Korean Society of Clothing and Textiles
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• v.31 no.1 s.160
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• pp.57-67
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• 2007

The purpose of this study is to find out the better washing condition, especially on detergent contents to satisfy the consumer's concern on fabric hand using Drum Type Washer. The hand and preference of washed fabrics by various detergent contents were analyzed through subjective evaluation using questionnaire method in dry and wet state. Wine rank's semantic differential scale questions were developed with 27 kinds of adjective pairs and seven rank's scale questions were to evaluate preference of washed fabrics oil holistic touch, washing and rinsing effect and purchase intention of detergent. Group of trained panelists and untrained women panelists of $30{\sim}40$ years old were participated. The factors affecting consumer's taste for the washed fabrics were analyzed by SPSS 12.0. Smoothness showed relatively higher correlation with preference of washed fabrics on holistic touch, washing and rinsing effect and purchase intention of detergent. There were significant differences in preference of washed fabrics on holistic touch, washing and rinsing effect and purchase intention of detergent by detergent contents when tested in wet state. Fabrics washed with detergents of non-zeolite were appeared to be the preferred ones.