• The Journal of Korean Medical History
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• v.32 no.2
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• pp.43-50
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• 2019

The medical book Yosandangsinjipeuibangkeumnangjibo (『樂山堂新集醫方錦囊至寶』, below as Yosandang, 『樂山堂』) is housed in the Handok museum of Medicine and Pharmacy. At the end of the Yosandang, written in manuscript, contains a rhymes of herbal medicine (藥性歌). The rhymes of herbal medicine is a record of song form about herbal medicine. Song-forms were widely used because they were easy to sing and memorize. In particular, there are many records of song forms in Korean medical books, which have been used in various fields such as herbal medicines, acupuncture points, and diagnosis. Although Yosandang is not a widely known medical book, it is meaningful in that it shows a cross section of late Joseon Korean medicine. So, this paper considers rhymes of herbal medicine in Yosandang. Yosandang is a medical book of the late Joseon period written by doctor Byun Gwangwon in 1806. This book consists of 6 books and 14 volumes, 13 of which are rhymes of herbal medicine. The rhymes of herbal medicine in Yosandang is 7 words-2 phrases form for the first time in Korea. This is almost 80 years earlier than the same form of Bangyakhabpyeon (『方藥合編』). The first part of rhymes of herbal medicine in Yosandang is considered to refer to the rhymes of herbal medicine in Jejungsinpyeon (『濟衆新編』), and the last part seems to be based on the contents of Donguibogam (『東醫寶鑑』). In other words, rhymes of herbal medicine in Yosandang could be considered as the result of trying to contain herbal medicine knowledge as a new 7 words-2 phrases form based on the Jejungsinpyeon (『濟衆新編』) and Donguibogam (『東醫寶鑑』). Unlike the previous rhymes of herbal medicine made during the compilation of medical books led by the late Joseon government, the rhymes of herbal medicine in Yosandang is a new type of rhymes created based on individual efforts in the early 19th century. It has a medicine historical significance in that it can show some aspects of Korean medicine in the late Joseon period.

• Cross-Cultural Studies
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• v.39
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• pp.219-240
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• 2015

The following summarized argument is the comparative research of the characteristics of automatic techniques demonstrated in the mixed expression of foreign language and Korean language in Lee Sang's poetry. Our research examines the use of foreign languages such as French and English shown in Lee Sang's poems, and then, recognized the characteristics of the automatic techniques demonstrated by the parallel marks and signs of Korean language. The automatical technique's element that Lee Sang made use of is a language of loanblend, consisting of free use of French, English, Japanese and Korean. The mathematical and geometric figures such as numbers and shapes can be seen as an important poetic language. In Lee Sang's poetry, the French words "AMOUREUSES" and "ESQUISSE" and English words "I WED A TOY BRIDE" are considered as parts of Korean language. The use of foreign language is seen by the readers as encodes of a unacquainted language and it provides rhetorical characteritstics that gives off profanatory feeling about the poetry. The poet is seen to have created a new poetic language that excess the standards of the limitations that Korean and Chinese marks have through the application of polysems and poliphonyic effects that foreign languages have. The mathematical and geometric signs are Lee Sang's special experimental elements that can't be seen in other literary poetries. They are conversational and the requirements for the expression of abstract artistry and esthetics. The language used in his poetry are external to those traditional poetic languages and they mix freely with other poetic elements to become an automatic technique used in the writing. Lee Sang's techniques can be considered as the pursuit of defiance and departure, freedom about literature and artistry. Moreover, the avant-garde expressionism is the literary form that demonstrated the sense of inferiority, nervousness and loneliness risen from physical pain and the abnormal relationship with women in the poet's personal life. The technique shows the longingness of the the Western culture and literature that lay dormant in the poet's consciousness and it is also the expression of ingenious that created the new guide in the Korean poetic literature, exceeding the European surrealism. Lastly, the automatic technique images that are demonstrated by the mixture of the foreign languages and Korean language are the creations of an innate poetic language and poetic literature that can't be imitated by anyone in Korean literature.

• The Journal of the Korea Contents Association
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• v.11 no.12
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• pp.723-733
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• 2011

In contemporary art, the process of appreciating art works requires the dichotomy between traditional art and New Media Art. This difference can be witnessed in the contrasting ways of appreciating art works; in traditional art, a certain physical and esthetic distance is placed between viewers and works of art, and in New Media Art, art is appreciated by active involvement and communication. In other words, this disparity is based on whether viewers physically involve themselves in the completion of the art works. Perhaps contemporary art can be better understood and appreciated if a single primary keyword takes the center place of art appreciation rather than allowing the dichotomy. Thus, a new approach is welcome, where art appreciation is not adversely affected through such divided means based on the degree of active participation. This is not some new introduction of jargon but the reinterpretation of contemplation, the key word for art appreciation in the past, as the common key word for both conventional art and New Media Art.

• The Journal of the Korea Contents Association
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• v.20 no.9
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• pp.541-548
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• 2020

Interest in emotions continues to rise around the world, including Korea, and in recent years, new styles such as new-tro, a new term referring to 'gaem-seong' of the social networking service generation, have emerged. Considering the strong influence of emotion on time and the environment, it is necessary to recognize the public's emotion about the current new style. Thus, in this study, 12 emotional vocabulary words were selected from the nine products applied with the new-tro style: want, cute, happy, pleasure, unique, cool, stylish, pretty, fun, like, joy, and special. According to the analysis of the survey, men's emotions were higher in order of "funny-cute-happy," and women's emotions were higher in order of 40s, 30s, 50s and 20s. Emotional vocabulary extracted from this study can be used to evaluate the sensitivity of objects to which the new-tro style is applied and will be utilized as specific emotional evaluation data through the analysis methods presented.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.15 no.1
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• pp.185-195
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• 2020

This study is intended to determine that there is a casual relationship between technological innovation capability and new product development performance in small and mid-sized venture companies, and that the introduction of collaboration as a means to step up technological innovation capability will improve new product development performance. To achieve this, a survey was carried out to employees who are engaged in R&D work for small and mid-sized venture companies based in Korea, and the results were analyzed by regression analysis. The findings showed that technology strategy, technology learning and open innovation belonging to technological innovation capability in small and mid-sized venture companies had an effect on new product development performance. In other words, the selection of collaboration as a wider array of core strategies on new product development performance showed that collaboration was a strategy affecting new product development performance. In addition, the moderating role of technological innovation capability in boosting new product development performance through the introduction of collaboration showed that common collaboration had a positive effect on stepping up technology strategy, and collaboration as a core strategy had a positive effect on the size of new product development performance by strengthening technology strategy and open innovation.

• Journal of Information Technology Applications and Management
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• v.20 no.4
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• pp.315-338
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• 2013

As a result of New media that affects the marketing system, it is appeared a new marketing system called Market Platform in terms of market governance of trading. Market Platform is a new marketing system for ideal market system through the community structure from a hierarchy structure. It is determined that Market Platform as the role of adjustment of each side of market, buyer and seller, developed an existing marketing system. In this study, to target the Market Platform has recently emerged as the center of the market management in the new media environment. This study investigates what characteristics and impact of infrastructure of Market Platform will affect the cognitive impact on both buyers and sellers to clarify the impact on the self efficacy of the shopping process. Through this investigation, modeling for the impact that new media environment will attract Market Platform will be developed from the investigation of attractiveness of mobile market platform environment. Changes in the technical media environment gave the characteristics of the customer in the market platform, so consumers could involve not only consumed, but also manufactured. Thus, it is possible to increase the attractiveness if market must be able to not only for the convenience of shopping, but also make people to enjoy the experience of value co-creation. In other words, the new media, as a result of affecting the marketing system, mobile market platform is organized around the market of communication base. Network centrality, visible openness, ubiquitous multiplexity, 3 properties of new media increase the market self-efficacy of their customers. Therefore, the structure of market platform that enhance self-efficacy has higher attractiveness.

• Journal of Fashion Business
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• v.6 no.4
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• pp.17-31
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• 2002

This study is, to the special company with corporate brand, to investigate the effect of its reputation, credibility and the similarity of business area on consumer's attitude toward its clothing products. It is another topic of the study to reveal statistical significance in comsumer's attitude when naming new product with two different brand strategy. The major findings of this study can be summarized as follows. First, there was positive relationship between corporate reputation and consumer's attitude toward new brand and also between corporate credibility and consumer's that. Second, corporate credibility is proven to be grown in proportion to company's reputation. In other words, a corporate credibility is grown with a corporate reputation. Third, the influence of similarity or fitness of business area has a positive effect on a attitude toward new brand. The case of use the new brand name, the variable had low effect on attitude toward new brand, comparing to the case of use the existing brand name but seems to be statistically significant. Fourth, comparing to the inclination toward company's product based on brand name, strategy of supporting brand extension is more effective than that of new brand name on evaluating company's reputation, credibility and the similarity of business area. Fifth, the similarity of business area and the interaction of brand name on the basis of the strategy of use the existing brand name(;brand extension strategy) and new one have significant effect on the inclination to a brand. When participating a new business, it is more effective that a company is extending its business where the similarity of business area is growing. For the case of low similarity, the brand-new strategy is proven to be effective.

• The Journal of Society for e-Business Studies
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• v.19 no.3
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• pp.107-123
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• 2014

Current text mining techniques suffer from the problem that the conventional text representation models cannot express the semantic or conceptual information for the textual documents written with natural languages. The conventional text models represent the textual documents as bag of words, which include vector space model, Boolean model, statistical model, and tensor space model. These models express documents only with the term literals for indexing and the frequency-based weights for their corresponding terms; that is, they ignore semantical information, sequential order information, and structural information of terms. Most of the text mining techniques have been developed assuming that the given documents are represented as 'bag-of-words' based text models. However, currently, confronting the big data era, a new paradigm of text representation model is required which can analyse huge amounts of textual documents more precisely. Our text model regards the 'concept' as an independent space equated with the 'term' and 'document' spaces used in the vector space model, and it expresses the relatedness among the three spaces. To develop the concept space, we use Wikipedia data, each of which defines a single concept. Consequently, a document collection is represented as a 3-order tensor with semantic information, and then the proposed model is called text cuboid model in our paper. Through experiments using the popular 20NewsGroup document corpus, we prove the superiority of the proposed text model in terms of document clustering and concept clustering.

• KIPS Transactions on Software and Data Engineering
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• v.3 no.12
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• pp.511-522
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• 2014

During the development of the software, a variety of bugs are reported. Several bug tracking systems, such as, Bugzilla, MantisBT, Trac, JIRA, are used to deal with reported bug information in many open source development projects. Bug reports in bug tracking system would be triaged to manage bugs and determine developer who is responsible for resolving the bug report. As the size of the software is increasingly growing and bug reports tend to be duplicated, bug triage becomes more and more complex and difficult. In this paper, we present an approach to assign bug reports to appropriate developers, which is a main part of bug triage task. At first, words which have been included the resolved bug reports are classified according to each developer. Second, words in newly bug reports are selected. After first and second steps, vectors whose items are the selected words are generated. At the third step, TF-IDF(Term frequency - Inverse document frequency) of the each selected words are computed, which is the weight value of each vector item. Finally, the developers are recommended based on the similarity between the developer's word vector and the vector of new bug report. We conducted an experiment on Eclipse JDT and CDT project to show the applicability of the proposed approach. We also compared the proposed approach with an existing study which is based on machine learning. The experimental results show that the proposed approach is superior to existing method.

• Journal of KIISE:Software and Applications
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• v.33 no.11
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• pp.986-998
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• 2006

There has been an increasing necessity of Semantic Web-based metadata that helps computers efficiently understand and manage an information increased with the growth of Internet. However, it seems inevitable to face some semantically ambiguous information when metadata is generated. Therefore, we need a solution to this problem. This paper proposes a new method for automated metadata generation with the help of a concept of class, in which some ambiguous words imbedded in information such as documents are semantically more related to others, by using probability model of consequent words. We considers ambiguities among defined concepts in ontology and uses the Hidden Markov Model to be aware of part of a named entity. First of all, we constrict a Markov Models a better understanding of the named entity of each class defined in ontology. Next, we generate the appropriate context from a text to understand the meaning of a semantically ambiguous word and solve the problem of ambiguities during generating metadata by searching the optimized the Markov Model corresponding to the sequence of words included in the context. We experiment with seven semantically ambiguous words that are extracted from computer science thesis. The experimental result demonstrates successful performance, the accuracy improved by about 18%, compared with SemTag, which has been known as an effective application for assigning a specific meaning to an ambiguous word based on its context.