• Title/Summary/Keyword: portal site

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An Analysis of K-POP Stars' Images in Chinese Social Medias (중국 소셜 미디어에 나타난 K-POP 스타들의 사진 이미지 분석)

  • Yin, Jing;Yang, Jong-Hoon;Lee, Sang-Eun
    • The Journal of the Korea Contents Association
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    • v.21 no.7
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    • pp.71-82
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    • 2021
  • The main purpose of this study was to investigate K-pop stars' images in photos presented by social networks in China. In this study photos of K-pop stars were collected from a community site of Baidu as one of the biggest portal sites and were five idol groups (EXO, IKON, T-ara, Wonder Girls, and Girls' Generation) which have beeb getting famous in China. For this musical styles and backgrounds of the K-pop idol stars were scrutinized in brief and explored in respect with its images. The results of the study were follows: First, the overall pictorial images of K-pop boys' groups were characterized in masculine and stylish images emphasizing the western appearance. In case of K-pop girl groups, sexy, gorgeous, feminine and youthful images were identified. In conclusion, K-pop idol stars is contributing to expand Korean pop arts into Chinese public culture as Chinese people produced and circulated the pictorial images of K-pop stars and facilitated consumption activities of K-pop contents.

Preliminary study on Typhoon Information Contents Development for Pre-disaster Prevention Activities (사전방재활동을 위한 태풍정보 콘텐츠 개발에 관한 기초 연구)

  • Kim, Eun-Byul;Park, Jong-Kil;Jung, Woo-Sik
    • Journal of Environmental Science International
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    • v.27 no.11
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    • pp.957-966
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    • 2018
  • This study intend to induce citizen's voluntary preliminary disaster prevention activity to reduce damage of typhoon that occurs every year. For this purpose, a survey was conducted to develop Typhoon information contents. The number of samples used in the survey was set to 500 people, and citizens living in Jeju, Busan, and Jeonlanam-do were surveyed for areas with high typhoon disasters in order to develop practical and efficient information. The survey consisted of perception about natural disaster, how to get and use weather information, satisfaction with typhoon information and requirements. The general public perceived the typhoon as the first natural disaster. As a result of responding to the method of obtaining and utilizing weather information, the frequency of collecting weather information at the time of issuance of typhoon special report is higher than usual. The purpose of using weather information is clear and the response rate is high for the purpose of disaster prevention. The medium mainly collecting weather information is Internet portal site and mobile phone besides television. The current satisfaction with typhoon weather information is 34.8%, in addition to the accuracy of prediction, it is necessary to improve the information (that is content) provided. Specific responses to the content were investigated not only for single meteorological factors, but also for possible damage and potential countermeasures in the event of a disaster such as a typhoon. As can be seen from the above results, people are requested to provide information that can be used to detect and cope with disasters. The development of new content using easy accessible media will contribute to the reduction of damages caused by the typhoon that will occur in the future, and also to the disaster prevention activity.

Evaluating real-time search query variation for intelligent information retrieval service (지능 정보검색 서비스를 위한 실시간검색어 변화량 평가)

  • Chong, Min-Young
    • Journal of Digital Convergence
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    • v.16 no.12
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    • pp.335-342
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    • 2018
  • The search service, which is a core service of the portal site, presents search queries that are rapidly increasing among the inputted search queries based on the highest instantaneous search frequency, so it is difficult to immediately notify a search query having a high degree of interest for a certain period. Therefore, it is necessary to overcome the above problems and to provide more intelligent information retrieval service by bringing improved analysis results on the change of the search queries. In this paper, we present the criteria for measuring the interest, continuity, and attention of real-time search queries. In addition, according to the criteria, we measure and summarize changes in real-time search queries in hours, days, weeks, and months over a period of time to assess the issues that are of high interest, long-lasting issues of interest, and issues that need attention in the future.

A Review of Bee Venom Acupuncture for Spinal Diseases in the Journal of Korean Medicine (국내 임상연구 문헌고찰을 통한 척추 질환의 봉약침요법 응용례 분석)

  • Lee, Yujin;Won, Jee-Yeong;Nam, Suhyun;Kim, Changwan;Jeon, Gyeong-Ryung;Cho, Junho
    • Journal of Korean Medicine Rehabilitation
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    • v.29 no.3
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    • pp.1-13
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    • 2019
  • Objectives This review aims to analyze the current research trend in the usage of bee venom (BV) acupuncture for spinal diseases. Methods We collected 80 articles on BV acupuncture clinical study for spinal diseases by searching Korean web databases 'Journal of Korean Medicine Rehabilitation', 'Oriental Medicine Advanced Searching Integrated System', 'Korean Traditional Knowledge Portal' from 1999 to 2018. Results We summarized the most frequent clinical treatment methods of BV acupuncture. 1. Herniated intervertebral disc was treated for 40% and the treated spinal diseases were various. 2. '1:10,000' in the type of BV was chosen for 21%. 3. 29% of studies used 6-7 acupoints per session and 23% of studies used 'BL' as the injection site. 3. The highest volume of injected BV into each acupoint was 0.1 cc for 34% and the highest total volume of injected BV was 1.0 cc for 39%. Conclusions We found the limited evidence on the lack of consensus and detailed description in the reported experimental design. The results in this review suggest that future works should focus on more consistent and systematic study for the reproducible and standardized treatment methods.

Plan-Class Specific Reference Quality Assurance for Volumetric Modulated Arc Therapy

  • Rahman, Mohammad Mahfujur;Kim, Chan Hyeong;Kim, Seonghoon
    • Journal of Radiation Protection and Research
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    • v.44 no.1
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    • pp.32-42
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    • 2019
  • Background: There have been much efforts to develop the proper and realistic machine Quality Assurance (QA) reflecting on real Volumetric Modulated Arc Therapy (VMAT) plan. In this work we propose and test a special VMAT plan of plan-class specific (pcsr) QA, as a machine QA so that it might be a good solution to supplement weak point of present machine QA to make it more realistic for VMAT treatment. Materials and Methods: We divided human body into 5 treatment sites: brain, head and neck, chest, abdomen, and pelvis. One plan for each treatment site was selected from real VMAT cases and contours were mapped into the computational human phantom where the same plan as real VMAT plan was created and called plan-class specific reference (pcsr) QA plan. We delivered this pcsr QA plan on a daily basis over the full research period and tracked how much MLC movement and dosimetric error occurred in regular delivery. Several real patients under treatments were also tracked to test the usefulness of pcsr QA through comparisons between them. We used dynalog file viewer (DFV) and Dynalog file to analyze position and speed of individual MLC leaf. The gamma pass rate from portal dosimetry for different gamma criteria was analyzed to evaluate analyze dosimetric accuracy. Results and Discussion: The maxRMS of MLC position error for all plans were all within the tolerance limit of < 0.35 cm and the positional variation of maxPEs for both pcsr and real plans were observed very stable over the research session. Daily variations of maxRMS of MLC speed error and gamma pass rate for real VMAT plans were observed very comparable to those in their pcsr plans in good acceptable fluctuation. Conclusion: We believe that the newly proposed pcsr QA would be useful and helpful to predict the mid-term quality of real VMAT treatment delivery.

Analysis of Dental Hygienist Job Recognition Using Text Mining

  • Kim, Bo-Ra;Ahn, Eunsuk;Hwang, Soo-Jeong;Jeong, Soon-Jeong;Kim, Sun-Mi;Han, Ji-Hyoung
    • Journal of dental hygiene science
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    • v.21 no.1
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    • pp.70-78
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    • 2021
  • Background: The aim of this study was to analyze the public demand for information about the job of dental hygienists by mining text data collected from the online Q & A section on an Internet portal site. Methods: Text data were collected from inquiries that were posted on the Naver Q & A section from January 2003 to July 2020 using "dental hygienist job recognition," "role recognition," "medical assistance," and "scaling" as search keywords. Text mining techniques were used to identify significant Korean words and their frequency of occurrence. In addition, the association between words was analyzed. Results: A total of 10,753 Korean words related to the job of dental hygienists were extracted from the text data. "Chi-lyo (treatment)," "chigwa (dental clinic)," "ske-illing (scaling)," "itmom (gum)," and "chia (tooth)" were the five most frequently used words. The words were classified into the following areas of job of the dental hygienist: periodontal disease treatment and prevention, medical assistance, patient care and consultation, and others. Among these areas, the number of words related to medical assistance was the largest, with sixty-six association rules found between the words, and "chi-lyo," "chigwa," and "ske-illing" as core words. Conclusion: The public demand for information about the job of dental hygienists was mainly related to "chi-lyo," "chigwa," and "ske-illing" as core words, demonstrating that scaling is recognized by the public as the job of a dental hygienist. However, the high demand for information related to treatment and medical assistance in the context of dental hygienists indicates that the job of dental hygienists is recognized by the public as being more focused on medical assistance than preventive dental care that are provided with job autonomy.

Regional Image Change Analysis using Text Mining and Network Analysis (텍스트 마이닝과 네트워크 분석을 이용한 지역 이미지 변화 분석)

  • Jeong, Eun-Hee
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • v.15 no.2
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    • pp.79-88
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    • 2022
  • Social media big data includes a lot of information that can identify not only consumer consumption patterns but also local images. This paper was collected annually data including 'Samcheok' from 2015 to 2019 from Blog and Cafe of Naver and Daum in domestic portal site, and analyzed the regional image change after refining keyword which forms the regional image by performing text mining and network analysis. According to the research results, the regional image of 2015 was expressed with image cognitive elements of the nearby place name or place etc. such as 'Jangho Port', 'Donghae', and 'Beach'. However the regional image both 2016 and 2019 were changed with image cognitive elements of 'SamcheokSolbich' which is a special place within region. Therefore as the keywords related to the local image include 'Jangho Port' and Resort, which are the representative attractions of Samcheok, it can be seen that the infrastructure factor plays a big role in forming the local image. The significance test for the network data used the bootstrap technique, and the p-values in 2015, 2016, and 2019 were 0.0002, 0.0006, and 0.0002, respectively, which were found to be statistically significant at the significance level of 5%.

The Comparison Between the Comments and the Replies on Korean President Election News: using Topic Modeling (대선 관련 인터넷 뉴스의 댓글과 대댓글 간 비교를 통해 살펴본 온라인 토론의 진행 가능성)

  • Lee, Jung
    • Journal of Intelligence and Information Systems
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    • v.28 no.2
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    • pp.33-55
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    • 2022
  • This study analyzed the comments and the replies on internet news related to the presidential election in order to verify whether online discussions are properly conducted. According to Habermas' public sphere theory, discussions is an effort among participants to reach a social consensus through the deliberations that are based on open communications. We propose that if such discussions properly take place through the act of writing in the Internet space, the comments and the replies will show a certain difference in terms of the structure and the content. To validate, this study analyzed more than 40,000 comments collected from Daum News portal site in Korea. The topic of the related news was the presidential election, because it is a topic of which people are highly interested in and that comments are actively running. The result of the t-test and topic modeling result show that all the hypotheses were supported thus we conclude that online discussions properly took places. This study also showed that online comments are not chaotic remarks that relieve people's stresses, but rather an outcome of the deliberation processes moving towards a social consensus.

Comparison of Industrial Mathematics Issues between Korea and the US Using Topic Modeling (토픽모델링을 활용한 한국과 미국의 산업수학 이슈 비교)

  • Kim, Sung-Yeun
    • The Journal of the Korea Contents Association
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    • v.22 no.7
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    • pp.30-45
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    • 2022
  • This study explored the issues of industrial mathematics in online news articles and online forums in Korea and the US by using text mining and compared the results. Text data about industrial mathematics were collected from news articles of Naver, a major portal site, and postings and replies on Clien as resources of Korea, and from news articles by the New York Times and CNN as well as postings and replies on Reddit as resources of the US. Structural topic modeling analyses were performed, the major results of which were as follows. First, news articles in Korea mainly dealt with the necessity of industrial mathematics and government support. On the contrary, the news articles in the US focused more on various fields where industrial mathematics fields were utilized. Second, in Korea, the same number of issues with different topics were discussed in news articles and online forums, whereas in the US more issues were covered in news articles than in online forums. It was suggested academic implications for researchers and practical implications for the government for settling industrial mathematics in Korea.

Current Issues with the Big Data Utilization from a Humanities Perspective (인문학적 관점으로 본 빅데이터 활용을 위한 당면 문제)

  • Park, Eun-ha;Jeon, Jin-woo
    • The Journal of the Korea Contents Association
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    • v.22 no.6
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    • pp.125-134
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    • 2022
  • This study aims to critically discuss the problems that need to be solved from a humanities perspective in order to utilize big data. It identifies and discusses three research problems that may arise from collecting, processing, and using big data. First, it looks at the fake information circulating with regard to problems with the data itself, specifically looking at article-type advertisements and fake news related to politics. Second, discrimination by the algorithm was cited as a problem with big data processing and its results. This discrimination was seen while searching for engineers on the portal site. Finally, problems related to the invasion of personal related information were seen in three categories: the right to privacy, the right to self-determination of information, and the right to be forgotten. This study is meaningful in that it points out the problems facing in the aspect of big data utilization from the humanities perspective in the era of big data and discusses possible problems in the collection, processing, and use of big data, respectively.