• The Journal of Korean Academy of Prosthodontics
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• v.52 no.4
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• pp.324-330
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• 2014

In case of implant-tooth connected prosthesis, a natural tooth tends to intrude. There are several mechanisms that explain an intrusion phenomenon. So it is reco mmended not to connect an implant with a natural tooth. A 68-year-old female had upper left $2^{nd}$ premolar and $2^{nd}$ molar extracted and underwent implant surgery on the missing area. We made an implant prosthesis and treated upper left $1^{st}$ molar with a gold crown. 2.5 year later, the patient complained about loose proximal contact and food impaction between upper left $1^{st}$ molar and $2^{nd}$ molar. Mesial side of upper left $2^{nd}$ molar implant prosthesis was soldered so that proximal contact became tight again. But after 7 months, about 2 mm intrusion of upper left $1^{st}$ molar occurred, and the patient felt periodontally originated pain on intruded upper left $1^{st}$ molar. After the gold crown on upper left $1^{st}$ molar was removed, extrusion occurred and pain was relived.

• Journal of the Korea Fashion and Costume Design Association
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• v.15 no.3
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• pp.109-118
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• 2013

Fashion icons of 21st century are not only the fashion leaders that show fashion trend but also the typical fashion signs or symbols that show visually changes in sensibility trends. The purpose of this study was to analyze the framework of 21st century fashion by the public to recognize through these changes. In this study, the background of the occurrence of various 21st century fashion icons and their characteristics were investigated and the changes of revealed features and symbolic meanings were examined compared with them of 20th century. The 24 celebrities which have been called as the bests of fashion icons since year 2000 were selected by searching the most popular search engines such as daum, yahoo and google, and 13 of them were picked as the highest in preference and awareness by surveying 50 students majoring in fashion. And then their fashion styles, backgrounds, and influence on the public fashion were studied. As a result, the 21st century fashion icons reflecting the cultural characteristics such as convergence and exaggeration and the sensitivities of fusion, collaboration, hybrid sensibility in art were powerful enough to create innovative styles destroying the era and the standard. Their styles have constantly created new looks. The exposed new individual sensitivities on media-fusion of two or more sensibility and coordination techniques without being tied to the existing anchorage system-were as influential as high fashion and leaded the imitation and reproduction by dazzling the public. As the media become more powerful, the influence of fashion icons interacted more closely with the public and has been evolved through the sensitivity of the reversal, cultural, economic, visual, or temporal fusions. To sum up, it is shown that the outstanding fashion styles suggested by the leading fashion designers have approach to the public more closely by the fashion icons.

• Journal of Digital Contents Society
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• v.14 no.4
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• pp.581-587
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• 2013

In this paper, we propose a method of sentiment classification which uses Levenshtein distance. We generate BOW(Bag-Of-Word) applying Levenshtein daistance in sentiment features and used it as the training set. Then the machine learning algorithms we used were SVMs(Support Vector Machines) and NB(Naive Bayes). As the data set, we gather 2,385 reviews of movies from an online movie community (Daum movie service). From the collected reviews, we pick sentiment words up manually and sorted 778 words. In the experiment, we perform the machine learning using previously generated BOW which was applied Levenshtein distance in sentiment words and then we evaluate the performance of classifier by a method, 10-fold-cross validation. As the result of evaluation, we got 85.46% using Multinomial Naive Bayes as the accuracy when the Levenshtein distance was 3. According to the result of the experiment, we proved that it is less affected to performance of the classification in spelling errors in documents.

• The Research Journal of the Costume Culture
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• v.28 no.2
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• pp.265-284
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• 2020

This study aimed to analyze the performance of Disney-collaborated fashion lines based on online consumer reviews. To do so, the researchers employed text mining and network analysis to identify key words in the reviews of these products. Blogs, internet cafes, and web documents provided by Naver, Daum, and YoutTube were selected as subjects for the analysis. The analysis period was limited to one year after for the 2019. Data collection and analysis were conducted using Python 3.7, Textom, and NodeXL. The research terms in question were as follows: 'Disney fashion collaboration' and 'Frozen fashion collaboration'. Preliminary survey results indicated that 'Elsa's dress' was the most frequently mentioned term and that the domestic fashion brand Eland Retail was the most active in selling Disney branded clothing through its own brand. The writers of reviews for Disney-collaborated fashion products were primarily mothers with daughters. Their decision to purchase these products was based upon the following factors; price, size, stability of decoration, shipping, laundry, and retailer. The motives for purchasing the product were the positive response of the consumer's child and the satisfaction of the parents due to the child's response. The problems to be solved included insufficient quantity of supply, delay in delivery, expensive price considering the number of times children's clothes are worn, poor glitter decoration, faded color, contamination from laundry, and undesirable smells immediately after the purchase.

• Journal of Korean Clinical Nursing Research
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• v.22 no.2
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• pp.173-182
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• 2016

Purpose: This study investigated the linking words of nurse which were presented together with nurse on phrase, clauses or sentence of documents or conversations in the Internet portals and social media. Methods: The linking words with nurse were calculated by the number of presentation on conversations or documents, in Google, Daum, Naver, Twitter and Facebook. The changes of characteristics and the trend of yearly changes of major linking words of nurse were investigated by the type of media. In order to identify the meaning of the words, clustering of the collected linking words by categories was analysed and the characteristics of each cluster were classified. Results: A total number of reviewed linking words was 17,399,711 and the most frequently presenting words were hospital, work and person. The words related to people were the most highly presented and the next were those of emotion, professional and place respectively. Conclusion: With analysing the trends of changes and characteristics of words by yearly base and clusters, we attempted to investigate the image of nurse that the public think and feel about nurse.

• Journal of Korea Society of Industrial Information Systems
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• v.21 no.6
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• pp.41-51
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• 2016

For the competitive advantages of an real estate web-site, the study investigated the comparison between the real estate portal sites and the independent real estate web-site based on the users' preference. The experiment was conducted with 52 participants for the total 5 sites including two real estate portal sites (Naver real estate, Daum real estate), and independent real estate web-site (the real estate 114, the seoul real estate square, the MK estate). As a result, this study becomes very practical to web-site companies in terms of users' preferences, even though most of real estate web-site studies have focused on credibility. Therefore, it is considered to contribute largely for the advancement of real estate sites developing differentiation strategy through comparative analysis between real estate portal sites and independent real estate web-site.

• Fashion & Textile Research Journal
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• v.20 no.5
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• pp.533-547
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• 2018

The objective of this study is to examine the perception of golfwear and related trends based on major keywords and associated words related to golfwear utilizing big data. For this study, the data was collected from blogs, Jisikin and Tips, news articles, and web $caf{\acute{e}}$ from two of the most commonly used search engines (Naver & Daum) containing the keywords, 'Golfwear' and 'Golf clothes'. For data collection, frequency and matrix data were extracted through Textom, from January 1, 2016 to December 31, 2017. From the matrix created by Textom, Degree centrality, Closeness centrality, Betweenness centrality, and Eigenvector centrality were calculated and analyzed by utilizing Netminer 4.0. As a result of analysis, it was found that the keyword 'brand' showed the highest rank in web visibility followed by 'woman', 'size', 'man', 'fashion', 'sports', 'price', 'store', 'discount', 'equipment' in the top 10 frequency rankings. For centrality calculations, only the top 30 keywords were included because the density was extremely high due to high frequency of the co-occurring keywords. The results of centrality calculations showed that the keywords on top of the rankings were similar to the frequency of the raw data. When the frequency was adjusted by subtracting 100 and 500 words, it showed different results as the low-ranking keywords such as J. Lindberg in the frequency analysis ranked high along with changes in the rankings of all centrality calculations. Such findings of this study will provide basis for marketing strategies and ways to increase awareness and web visibility for Golfwear brands.

• Journal of Korean Library and Information Science Society
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• v.50 no.4
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• pp.181-201
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• 2019

The purpose of this study is to analyze the present state of the enriched contents of OPACs of public libraries in Korea. Examined are the OPACs of 125 public libraries which hold Jeon Du-hwan Hoegorok, and 260 public libraries which hold Banil Jongjokjuui retrieved from KOLIS-NET of the National Library of Korea from Sept. through Oct. 2019. The enriched contents of these controversial books are mostly provided by Naver, Daum, and Aladin Internet Bookstore, and their so-called summaries, reviews, etc. are actually only excerpts supplied by publishers. They are given only as a link to external sources or the whole or partial display in a bibliographic record. Since these enriched contents contain only publishers' promotional statements, but not any objective and professional review, they are not much useful for library users. Therefore, more active participation of librarians in creating or evaluating the enriched contents are proposed, especially for such controversial books.

• Journal of the Korean Home Economics Association
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• v.45 no.10
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• pp.21-31
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• 2007

The purpose of this study was to clarify the factors that characterize the fashion brand online communities that have a high participation rate among high school students, and to determine the impact of those factors on the high school students' commitment to the community, especially in relation to their demographics. The study was implemented through a descriptive survey method using an online questionnaire. The sample consisted of 301 members of online fashion brand communities operated on the Daum portal site. The data were analyzed by frequency, factor analysis, and regression analysis. The results are as follows: (1) Factor analysis revealed that the characteristics of a fashion brand online community are associated with three factors ; compensation/interest, interactivity, and information. (2) Regression analysis showed that the more compensation/interest, opportunity for interaction, and information the community provides, the more likely high school student members are to show a higher level of commitment to the community. (3) There was no difference in the effect of community attribute factors on the high school student members' commitment to the community according to gender. The group of students majoring in human and liberal education was the most influenced by the attributes of fashion brand online communities. The interactivity factor had a greater impact on the group of students majoring in art and physical education than on the other groups. The greater the use of the Internet, the greater the impact of community attributes on commitment. (4) In the process of developing an online community, marketers should fully consider the fact that information factors have the biggest impact on high school students' commitment to the community. Therefore, greater effort should be made to differentiate between community attributes based on high school students' majors and their amount of Internet use in order to motivate commitment to the community and brand loyalty as well.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.29 no.1
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• pp.63-69
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• 2011

Recent growth of the geospatial information on the web made it possible to applicate spatial data. Also, the demand for rich and latest information shows a steady growth. The need for the new service using conflation of the existing spatial databases is on the increase. The information delivery of the services using the road vector and aerial image is reached intuitionally and accurately. However, the spatial inconsistencies in map services such as Daum map, Naver map and Google map is the problem. Our approach is processed to extract the road candidate image, match the template and filter the control points pair using vector median. Finally, CNS node and link are aligned to the real road with the aerial image. The experimental results show that our approach can align a set of CNS node and link with aerial imagery for daejon, such that the completeness and correctness of the aligned road have improved about 35% compare with the original roads.