• Journal of Korean Ophthalmic Optics Society
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• v.21 no.3
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• pp.181-189
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• 2016

Purpose: This study aims to understand effective brand naming process of an optical shop brand by a research of brand naming process of optical shop through creation of alternative. Methods: It investigated brand naming process such as character abstraction, target grasp, naming direction set, naming development and etc of an optical shop. It also looked into characteristics of alternative creation patterns such as words mix, typifier, sentence making, part words mix and etc and then, it investigated brand naming examples. Results: Creation of alternative is a phase of brand naming which has to be refined on the basis of creation of abundant alternatives and then to be developed to a brand name. This study suggested examples of brand names of optical shops which were made and adopted by creation of alternative. Conclusions: Creation of alternative in brand naming complies with concept, and it has systemic process and objective selection as an effective way in association of brand and searching words. It is necessary to have brand naming works through creation of alternative for the purpose of individual and strong brand name with desirable association and differentiation of an optical shop.

• Phonetics and Speech Sciences
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• v.1 no.4
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• pp.133-144
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• 2009

This paper presents a method for constructing and using transliteration rules which are based on Phonics, an instructional method for speaking and writing English letters. Conventional approaches to automatic transliteration often focused on statistical methods. However, the construction or the collection of correct transliteration examples is always the bottleneck of the statistical transliteration model. Also, in practical domains where the collection of such data is very difficult, such as education and tourism, it is reasonable to build a system without much qualified data. Furthermore, compared with Korean orthography of borrowed foreign words, the proposed approach is much easier to construct, and can generate more refined rules. The experimentation result shows that the proposed approach can improve the performance of a statistical-based transliteration system.

• Korean Association of Arts Management
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• no.58
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• pp.153-177
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• 2021

This study attempted to analyze language networks based on the theory of art policy in the New Normal era triggered by COVID-19 and domestic and foreign policy trends. For analysis, data containing key words of "Corona" and "Art" were collected from Google News and Web documents from March to September 2020 to extract 227 refined subject words, and the extracted subject words were analyzed as indicators of frequency and centrality of subject words through the Netminor program. In addition, visualization analysis of semantic networks has been attempted for the analysis of relationships between each topic languages. As a result of the semantic network analysis, the most frequent topic was "Corona," and "Culture and Art," "Art," "Performance," "Online" and "Support" were included in the group with the most frequencies. In the centrality analysis, "Corona" was the most popular, followed by "the era," "after," "post," "art," and "cultural arts," with high frequency, "Corona," "art," and "cultural arts" also dominated most centrality. In particular, the top-level key words in the analysis of frequency and centrality of the topic are 'online' and 'support' and 'policy'. This can be seen as indicating that the rapid rise of non-face-to-face and online content and support policies for the artistic communities are needed due to the dailyization of social distance due to COVID-19.

• Journal of Korean Medical classics
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• v.32 no.3
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• pp.59-71
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• 2019

Objectives : This paper looks at the history of East Asian acupuncture and moxibustion in the context of the general orientations of craft and art. It is understood that acupuncture and moxibustion was the ultimate integration of reason and craft in which text and experience mutually influenced each other throughout its development. In Joseon, the pursuit of integration between the body and the order of the Heaven and Earth was particularly prominent. Methods : As in the words of Zhunagzi(莊子), the state in which something that deeply touches the mind manifests in the hands has been understood as the ultimate state in modern and ancient art. Starting here, I examined the possibility that Korean acupuncture and art has evolved from such foundations step by step. Major acupuncture and moxibustion texts were examined historically, starting with "Shenyingjing(神應經)", leading to "Junggan-Shenyingjing (重刊神應經)", "Chimgu-Gyeongheombang(鍼灸經驗方)", "Chijongjinam(治腫指南)", "Chijongjinam-Joseonchambon治腫指南朝鮮?本", "Chimgutaegilpyeonjip(鍼灸擇日編集)", "Chimgu-Myeonggam(鍼灸明鑑)". Introductions and main contents of the texts were analyzed and presented appropriately. Results : East Asian acupuncture and moxibustion has developed based on the study of pathways that correspond to Shen, of the accordance and harmony between body and the order of Heaven and Earth together with theoretical refinement, technical development, and acceptance of new discoveries. In the perspective of craft, this was motivated by artistic passions such as '得於心 應於手' and '醫者意也'. In the case of refined acupuncture methods, due to their difficulty in education and transmission there has been some fluctuation. Conclusions : Korea, China, and Japan share a largely similar philosophical and cultural basis. Reason and craft, text and experience mutually influenced each other while the core of refined acupuncture was widely shared. However, a certain bifurcation point could be detected.

• (The)Study of the Eastern Classic
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• no.37
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• pp.249-278
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• 2009

Zhu-zi(朱子) represented the study of The Book of Odes in Song dynasty and Dai-zhen(戴震) was The Book of Odes researcher representing Wan-pai(a kind of party) in Qing dynasty. Especially Dai-zhen took critical position of Zhu-xi. Comparing Zhu-zi with Dai-zhen in the aspect of The Book of Odes interpretation, this thesis intends to review the difference and the reason of both interpretations. Especially this thesis compares Zhu-zi's interpretation with Dai-zhen's about thirty poems Zhu-zi considered filthy poetry, investigating the differences of their interpretation. Regarding the poetry Zhu-zi considered filthy as refined satire, Dai-zhen had a negative position about Zhu-zi's theory of filthy poetry. As Zhu-zi interpreted the poetry in the first person on the literary view in the time when he interpreted the lyrics in the Feng-shi, he regarded the purpose and the usefulness of poetry as feeling of words. But as Dai-zhen interpreted the poetry in the third person under a Confucian classic view, he regarded the purpose and the usefulness of poetry as refined satire. In brief, that is to say that Zhu-zi made literary interpretations of feeling of words but Dai-zhen made Confucian classic interpretations of 'Si-wu-xie'(思無邪). These two men's differences about interpretation of The Book of Odes have much importance on the historical aspects of The Book of Odes. So to speak, Dai-zhen had bibliographical approach and described the meaning of poetry objectively, following Mao-shi(毛詩) theory about the interpretation of meaning of poetry, criticizing Zhu-zi's literarary view. Dai-zhen's interpretation of The Book of Odes mentioned Above was made from long vital power of Mao-shi theory and a Confucian classic method. Considering the historical stream of Zhu-zi and Dai-zhen's interpreting The Book of Odes, The Book of Odes will be interpreted and analyzed from the various views in the future.

• Journal of the Korean Society of Clothing and Textiles
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• v.30 no.7 s.155
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• pp.1135-1145
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• 2006

The purpose of this study was to identify the desired seIf-images of male college students according to situations, and to construct fashion product unities bought by male college students for different situations. Empirical data were collected by self-administered questionnaires distributed to male students at 4 universities and 2 colleges in Daegu and Gyeongbuk area during June 2005, and 346 were analyzed, eliminating incomplete ones. Subjects were required to respond to 32 desired image words in 4 different situations respectively: school, meeting girlfriends, ceremonies, and exercises. As a result of factor analysis on desired self-image words, 5 factors were determined: refined image, sporty image, classic image, natural image and simple image. Based on the desired self-image factors, male college students were classified into 3 groups: selective image management group, passive image management group, and active Image management group. Fashion product unity of male college students for the school setting was consisted of round shirts, jeans, running shoes, bags and watches. Aloha shirts/knitted shirts/V-neck shirts, cotton pants/jeans/semi -formal pants, formal shoes/running shoes and watches were the fashion product unity for the setting of meeting girlfriends. For the setting of ceremonies, the fashion product unity included Y-shirts, formal dress, formal shoes, neckties and watches. And for the setting of exercises, the fashion product unity included cotton shirts, training suits, running shoes/jogging shoes/basketball shoes, armguard and caps.

• KIPS Transactions on Software and Data Engineering
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• v.3 no.4
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• pp.149-154
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• 2014

A user should pick up relevant answers by himself from various search results when using user participation question answering community like Knowledge-iN. If refined answers are automatically provided, usability of question answering community must be improved. This paper divides questions in Q&A documents into 4 types(word, list, graph and text), then proposes summarizing methods for each question type using document statistics. Summarized answers for word, list and text type are obtained by question clustering and calculating scores for words using frequency, proximity and confidence of answers. Answers for graph type is shown by extracting user opinion from answers.

• Journal of the Korean Operations Research and Management Science Society
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• v.37 no.3
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• pp.79-94
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• 2012

According to the higher dependence of contemporary firms on data digitalization and the information technology, the role and importance of Information Security Management (ISM) is getting higher. Thus, there is a need to arrange proper procedure and a series of device within the organization in order to reduce diverse security risks, which take place from the inside and the outside of firm. In other words, prior examination for reinforcing recognition of ISM, and of a systematic performance method in the refined form is important. This study investigate the key variables influencing the ISM. Thus, this study suggests firm environmental factors that include four exogenous variables, market volatility, task interdependence, perceived benefits, and coordination mechanism affecting awareness of ISM. In addition, it proposes a concept of the ISM process with awareness, development, and performance, and examines the moderating effects of regulatory influence. The research model was tested by using Structural Equation Modeling, via SmartPLS 2.0 analysis on a sample collected from 186 employees in various industries. The research results provide the evidence that supports the tested hypotheses except significance of coordination mechanism. The implications of the findings suggest a new theoretical framework of the ISM and offers important solutions for the practical application guidelines.

• Journal of the Korean Society of Clothing and Textiles
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• v.28 no.7
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• pp.904-915
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• 2004

Following the PART I, which explored the concept of ＇Fashion Goods＇ and ＇Basic Goods＇ in terms of design elements and operational differences, this study, PART II, examined the differences in merchandising process of the two different types of goods. Merchandising process was divided into three stages; planning, production, and presentation. The study adopted a qualitative approach by use of eighteen in-depth interviews with merchandisers and designers with a minimum of six years and a maximum of 15 years of career experience in apparel industry. According to the type of goods, different merchandising practices were found. Especially material and production order/reorder practices were noteworthy. Fashion goods had high possibility of using high-quality materials sourced abroad and few of them were reordered. In other words, reorder practices were established for basic goods only; replenishment was actively implemented for higher inventory turn of basic goods; usually materials and production for basic goods were sourced domestically. In conclusion, based on the differences, more refined merchandising strategies of apparel companies and consistent theory building in this field are required for fashion and basic goods respectively.

• Journal of Intelligence and Information Systems
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• v.26 no.1
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• pp.97-117
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• 2020

Product evaluation criteria is an indicator describing attributes or values of products, which enable users or manufacturers measure and understand the products. When companies analyze their products or compare them with competitors, appropriate criteria must be selected for objective evaluation. The criteria should show the features of products that consumers considered when they purchased, used and evaluated the products. However, current evaluation criteria do not reflect different consumers' opinion from product to product. Previous studies tried to used online reviews from e-commerce sites that reflect consumer opinions to extract the features and topics of products and use them as evaluation criteria. However, there is still a limit that they produce irrelevant criteria to products due to extracted or improper words are not refined. To overcome this limitation, this research suggests LDA-k-NN model which extracts possible criteria words from online reviews by using LDA and refines them with k-nearest neighbor. Proposed approach starts with preparation phase, which is constructed with 6 steps. At first, it collects review data from e-commerce websites. Most e-commerce websites classify their selling items by high-level, middle-level, and low-level categories. Review data for preparation phase are gathered from each middle-level category and collapsed later, which is to present single high-level category. Next, nouns, adjectives, adverbs, and verbs are extracted from reviews by getting part of speech information using morpheme analysis module. After preprocessing, words per each topic from review are shown with LDA and only nouns in topic words are chosen as potential words for criteria. Then, words are tagged based on possibility of criteria for each middle-level category. Next, every tagged word is vectorized by pre-trained word embedding model. Finally, k-nearest neighbor case-based approach is used to classify each word with tags. After setting up preparation phase, criteria extraction phase is conducted with low-level categories. This phase starts with crawling reviews in the corresponding low-level category. Same preprocessing as preparation phase is conducted using morpheme analysis module and LDA. Possible criteria words are extracted by getting nouns from the data and vectorized by pre-trained word embedding model. Finally, evaluation criteria are extracted by refining possible criteria words using k-nearest neighbor approach and reference proportion of each word in the words set. To evaluate the performance of the proposed model, an experiment was conducted with review on '11st', one of the biggest e-commerce companies in Korea. Review data were from 'Electronics/Digital' section, one of high-level categories in 11st. For performance evaluation of suggested model, three other models were used for comparing with the suggested model; actual criteria of 11st, a model that extracts nouns by morpheme analysis module and refines them according to word frequency, and a model that extracts nouns from LDA topics and refines them by word frequency. The performance evaluation was set to predict evaluation criteria of 10 low-level categories with the suggested model and 3 models above. Criteria words extracted from each model were combined into a single words set and it was used for survey questionnaires. In the survey, respondents chose every item they consider as appropriate criteria for each category. Each model got its score when chosen words were extracted from that model. The suggested model had higher scores than other models in 8 out of 10 low-level categories. By conducting paired t-tests on scores of each model, we confirmed that the suggested model shows better performance in 26 tests out of 30. In addition, the suggested model was the best model in terms of accuracy. This research proposes evaluation criteria extracting method that combines topic extraction using LDA and refinement with k-nearest neighbor approach. This method overcomes the limits of previous dictionary-based models and frequency-based refinement models. This study can contribute to improve review analysis for deriving business insights in e-commerce market.