• Public Diplomacy: Theory and Practice
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• v.3 no.1
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• pp.21-42
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• 2023

Objective: To understand the contents and effects of public diplomacy by leaders, this paper throws out two questions: "To draw cooperation and support of international society in the middle of national crises, with what content do leaders conduct public diplomacy?" and "Through what mechanism, does leaders' public diplomacy promote cooperation and support of other countries?" Methods: To answer the research questions, this paper conducts a single case study with Ukrainian President Volodymyr Zelensky's public diplomacy in the Russia-Ukraine war in 2022. More specifically, the author collects text from Zelesky's Twitter and analyzes it in a descriptive manner. Results: When Russia invaded Ukraine in 2022, President Zelensky proactively utilized his SNS to communicate with people in other countries and thereby achieved the desired effect of public diplomacy. He has been delivering messages of 'appreciation of cooperation and support', 'situation of Ukraine', and 'congratulations or condolences', which could augment support, credibility, and audience cost. Conclusion: The effects of public diplomacy led to enhanced cooperation by alleviating problems within international cooperation and support. However, in the case of Ukraine, the patron's dilemma and commitment problem lasted, from which conducting public diplomacy has not been proven to be enough. The result of this paper provides lessons for the public diplomacy of the Republic of Korea in times of national crises in the future. In this regard, leaders should make efforts to promote the effectiveness of public diplomacy even in times of peace.

• Journal of Intelligence and Information Systems
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• v.23 no.3
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• pp.29-44
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• 2017

In Internet commerce, consumers are heavily influenced by product reviews written by other users who have already purchased the product. However, as the product reviews accumulate, it takes a lot of time and effort for consumers to individually check the massive number of product reviews. Moreover, product reviews that are written carelessly actually inconvenience consumers. Thus many online vendors provide mechanisms to identify reviews that customers perceive as most helpful (Cao et al. 2011; Mudambi and Schuff 2010). For example, some online retailers, such as Amazon.com and TripAdvisor, allow users to rate the helpfulness of each review, and use this feedback information to rank and re-order them. However, many reviews have only a few feedbacks or no feedback at all, thus making it hard to identify their helpfulness. Also, it takes time to accumulate feedbacks, thus the newly authored reviews do not have enough ones. For example, only 20% of the reviews in Amazon Review Dataset (Mcauley and Leskovec, 2013) have more than 5 reviews (Yan et al, 2014). The purpose of this study is to analyze the factors affecting the usefulness of online product reviews and to derive a forecasting model that selectively provides product reviews that can be helpful to consumers. In order to do this, we extracted the various linguistic, psychological, and perceptual elements included in product reviews by using text-mining techniques and identifying the determinants among these elements that affect the usability of product reviews. In particular, considering that the characteristics of the product reviews and determinants of usability for apparel products (which are experiential products) and electronic products (which are search goods) can differ, the characteristics of the product reviews were compared within each product group and the determinants were established for each. This study used 7,498 apparel product reviews and 106,962 electronic product reviews from Amazon.com. In order to understand a review text, we first extract linguistic and psychological characteristics from review texts such as a word count, the level of emotional tone and analytical thinking embedded in review text using widely adopted text analysis software LIWC (Linguistic Inquiry and Word Count). After then, we explore the descriptive statistics of review text for each category and statistically compare their differences using t-test. Lastly, we regression analysis using the data mining software RapidMiner to find out determinant factors. As a result of comparing and analyzing product review characteristics of electronic products and apparel products, it was found that reviewers used more words as well as longer sentences when writing product reviews for electronic products. As for the content characteristics of the product reviews, it was found that these reviews included many analytic words, carried more clout, and related to the cognitive processes (CogProc) more so than the apparel product reviews, in addition to including many words expressing negative emotions (NegEmo). On the other hand, the apparel product reviews included more personal, authentic, positive emotions (PosEmo) and perceptual processes (Percept) compared to the electronic product reviews. Next, we analyzed the determinants toward the usefulness of the product reviews between the two product groups. As a result, it was found that product reviews with high product ratings from reviewers in both product groups that were perceived as being useful contained a larger number of total words, many expressions involving perceptual processes, and fewer negative emotions. In addition, apparel product reviews with a large number of comparative expressions, a low expertise index, and concise content with fewer words in each sentence were perceived to be useful. In the case of electronic product reviews, those that were analytical with a high expertise index, along with containing many authentic expressions, cognitive processes, and positive emotions (PosEmo) were perceived to be useful. These findings are expected to help consumers effectively identify useful product reviews in the future.

• Journal of Digital Convergence
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• v.11 no.8
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• pp.65-73
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• 2013

Outcome of election depends on which candidate of politics uses more original and creative idea for Ads and PR of election in election campaign strategy of political campaign. Especially, since political Ads and PR are the ways of capturing voters' sensitivities with one line of copy(slogan) and one image, Ads and PR are very important. This research analyzes unique and creative trend of political campaigns which are used in each unit election which is held four times(2010. 6 2 local election, 2011. 10 26 by-election, 2012. 4 11 general election, 2012. 12 19 presidential election) during 2010~2012. For analysis, search analysis of text and image used in video, internet, booklet type of Ads and PR material for election, and election campaign. Video is used in election campaign during election period. Unique and creative political campaign is customized micro-marketing election strategy trend which tries to fit for tendency of backing including gender, age group, social atmosphere, etc. This research excludes the degree of success of this election strategy from subject of analysis.

• Cartoon and Animation Studies
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• s.33
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• pp.317-341
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• 2013

Found Footage Film has been increasingly addressed between film and visual art world in the age of rapid media change. With regards to this self-conscious found footage filmmaking, narrative structures are unraveled to relate new stories, images are removed from their original context only to reappear in a different context, new layers that alter the meaning are added, stereotypes from Hollywood movies are exposed, and new montages are used to destroy the illusion of the medium itself. The physical properties of the original material are also emphasized or altered in order to add a new meaning. The starting point of this study is the recognition of the origin of found footage film. It traces back to the found object from primitive impulse and found art from Dada and surrealism. Many found footage films have been at least partly inspired by Duchamp's ready-mades. These films use footages that the filmmakers did not shot, and even footage that was never intended as art. This essay deals with the found footage practices and interrogates the aesthetic implications by the concept of self-reflexivity. Self-reflexivity means consciousness turning back on itself, and found footage film is about films which call attention to themselves as cinematic constructs. It breaks with art as illusionism and exposes their own factitiousness as textual constructs. Furthermore, the inevitable mortality of celluloid and temporal reconstruction of original film will be treated. Recentely, many attention has been given to role of Found Footage Film. I hope to add the understanding of the artistic found footage film with this study.

• Korean Journal of Remote Sensing
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• v.35 no.6_3
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• pp.1251-1260
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• 2019

Existing environmental spatial information, which has been concentrated on spatial resolution, has limitations in solving realistic environmental problems that must be accompanied by physical and chemical characterization. Accordingly, there is a need for an image radar capable of identifying physical characteristics of an object regardless of weather conditions, day and night, and sunlight. Image radar is used in various fields in the United States and Europe. The next generation of medium-sized satellite No. 5 in Korea, which is under development with the aim of monitoring water disasters, is also looking for ways to expand the scope to various applications based on the existing application range. To this end, we analyzed domestic and international papers (100 works) using image radar, and reviewed KEI 2016 report, domestic papers, and foreign papers. Based on this, various environmental issues were summarized and the effects of when the image radar was used were analyzed and land cover was selected as an environmental issue. In the future, we will embody the technology to improve the accuracy of the land cover map, which is the environmental issue selected in this study, and build the foundation system for the stable use of the land cover map.

• Proceedings of the Korea Water Resources Association Conference
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• 2005.05b
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• pp.1269-1273
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• 2005

자연 친화적 하천관리는 현 치수위주의 하천정비 관행으로 인한 하천의 환경 기능의 훼손을 막고, 제도적으로 자연 친화적으로 하천 사업을 추진하기 위해서 수변조사, 계획, 설계, 시공, 모니터링, 그리고 유지관리 등 일련의 체계적인 절차에 따라 하천 사업을 시행하는 것이다. 특히 이러한 표준 절차 가운데 수변조사는 하천의 특성을 결정짓는 여러 가지 자연적, 인공적 형성과정들과 그 과정들을 지배하는 생태학적 원리들을 파악하여 하천사업의 정비주제와 방향을 설정하는데 도움을 준다. 모니터링은 계획과 설계, 시공을 통해 실시된 하천사업의 효과를 평가하고, 공법적용에 따른 하천의 변화과정을 파악하여 유지관리 및 적응관리를 위한 근거를 제시하는 과정이다. 수변조사 및 모니터링 매뉴얼은 건설교통부가 수행한 '자연친화적 하천정비기법 개발' 의 연구성과로서, 경기도의 탄천, 충청북도의 달천 그리고 경기도 오산천을 대상으로 각 관련분야의 전문가가 참여하여 직접 적용$\cdot$검증한 결과를 바탕으로 제작한 것이다. 이는 하천의 관리 및 하천관련 사업을 자연 친화적으로 수행하기 위하여 필요한 '수변조사'와 '모니터링'에 대한 일반적인 절차와 방법을 체계화 한 것이다. 특히 수변조사 매뉴얼의 경우는 $\ulcorner$하천설계기준$\lrcorner$의 '제12장 하천환경조사'를 보완하는 관계에 있다. 하천설계기준에서 제시한 하천환경조사는 본 수변조사 매뉴얼상과 동일한 절차와 양식을 따르고 있다. 하천설계기준에서 자세하게 기술하지 못한 조사방법, 정리, 분석, 평가에 대한 내용을 구체적으로 적용하여 이를 보완하고 있다.은 안양천 웹페이지(http://anyang.river.or.kr)에서 구현되고 있으며, 앞서 설명한 바와 같이 1단계 프론티어 사업으로 설치된 4개의 하천수위, 2개의 지하수위 관측시설과 함께, 2단계에 (주)웹솔루스에서 자체적으로 설치 운영하고 있는 2개소의 하수관거 모니터링 관측시설, 그리고 안양시에서 운영하고 있는 5개소의 강우관측소와 7개소의 수위관측소를 모두 통합하여 실시간 자료를 제공하고 있다. 수위자료는 10분단위의 텍스트정보와 그래프형태로 지원되며, 검색기간 설정을 통해 원하는 기간내의 자료를 선별, 검색할 수 있다.. 또한 이와 같은 기초적인 정보를 바탕으로 하류하천의 탁수 피해를 최소화할 수 있는 선택취수탑의 운영방안을 수립할 수 있다 본 연구에서는 이를 위해 선택취수탑 주위의 성층흐름을 기존의 실험자료와 수치해석을 통하여 분석하였고, 온도성층구조나 취수구의 위치변화에 따른 방류수 수질특성을 조사하였다.쇄파대(artifical reef)와 같은 완충지대를 갖는 호안을 축조함으로써 월파량을 감소시키는 대안으로 제시하고자 한다. 본 연구 수행을 통해 태풍 내습시 발생 가능한 자연재해에 대한 사전 방지를 목적으로 태풍피해의 원인을 제시하고 이를 해결하여 현재의 방재대책이 항구적인 방재대책으로 전환될 수 있는 방안 마련의 기초 자료로 활용되기를 기대한다., L-arabinose, 및 D-galactose; 제3차(第三次) 가수분해물(加水分解物)(C)에서 L-rhamnose, D-xylose, L-arabinose 및 D-galactose, 비가수분해물(非加水分解物)(C')에서 D-xylose와 D-galactose를 검출(檢出)하였다. (4) 구성당(構

• Proceedings of the Korea Water Resources Association Conference
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• 2005.05b
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• pp.1378-1382
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• 2005

여름철 집중강우시 유입되는 고탁수층은 저수지의 밀도성층으로 인하여 표수층 하부에 위치하며, 이를 적기에 배제하지 않을 경우에는 수평방향의 확산현상과 연직방향의 전도현상으로 인해 저수지 전역에 분포하게 되어, 탁수현상의 장기화를 유발한다. 이와 같은 탁수장기화에 대한 저수지내 대책의 하나로서 홍수유입후 탁도가 높은 물을 단기간동안 방류하고, 갈수기에는 탁도가 낮은 물을 방류하는 선택취수 기법을 적용할 수 있다. 임하댐의 경우, 2004년 태풍 '디앤무'와 태풍 '메기'로 인해 발생한 탁수를 선택취수를 통하여 조기에 배제함으로써 호내탁도를 저감시킨 바 있다. 그러나 이와 같은 고탁수 우선배제 기법은 반드시 하류하천의 영향범위를 사전에 분석검토하고, 하류하천의 수질현황을 고려한 합리적인 운영방안이 제시되어야 한다. 2004년 태풍 '디앤무' 발생직후의 댐방수로에서 170 NTU의 고탁수를 방류한 경우, 유하거리 250 km인 지점까지 30 NTU이상 유지된 바 있으며, 태풍 '메기'에 의한 고탁수 유입시, 임하댐 방류수 157 NTU, 안동댐 방류수 37 NTU인 경우에 임하댐 하류 113 km인 구미 선산 취수장까지 63 NTU의 탁도가 유지된 바 있다. 현재 임하댐의 경우, 하류하천으로의 방류수 수질을 모니터링할 수 있는 자동수질측정시스템이 발전취수탑 전면 1개소, 조정지댐 1개소에 설치되어 있다. 본 연구에서는 자동수질측정시스템과 연계하여 수질모형을 통하여 임하댐 하류하천인 낙동강 본류의 탁도관리시스템을 구축하고자 하였다. 환경부의 수질측정망 자료를 통하여 최근 3년간의 부유사농도의 변화양상을 분석하였으며, 태풍 직후의 낙동강 주요지점별 탁도측정자료를 이용하여 임하댐 고탁도방류에 의한 영향범위를 분석하였다. 또한 하천수질모형을 이용하여 탁수예측방법에 대하여 검토하였고, 이를 이용한 탁도관리시스템 구축을 위한 기본 방향을 제시하고자 한다.함께, 2단계에 (주)웹솔루스에서 자체적으로 설치 운영하고 있는 2개소의 하수관거 모니터링 관측시설, 그리고 안양시에서 운영하고 있는 5개소의 강우관측소와 7개소의 수위관측소를 모두 통합하여 실시간 자료를 제공하고 있다. 수위자료는 10분단위의 텍스트정보와 그래프형태로 지원되며, 검색기간 설정을 통해 원하는 기간내의 자료를 선별, 검색할 수 있다.. 또한 이와 같은 기초적인 정보를 바탕으로 하류하천의 탁수 피해를 최소화할 수 있는 선택취수탑의 운영방안을 수립할 수 있다 본 연구에서는 이를 위해 선택취수탑 주위의 성층흐름을 기존의 실험자료와 수치해석을 통하여 분석하였고, 온도성층구조나 취수구의 위치변화에 따른 방류수 수질특성을 조사하였다.쇄파대(artifical reef)와 같은 완충지대를 갖는 호안을 축조함으로써 월파량을 감소시키는 대안으로 제시하고자 한다. 본 연구 수행을 통해 태풍 내습시 발생 가능한 자연재해에 대한 사전 방지를 목적으로 태풍피해의 원인을 제시하고 이를 해결하여 현재의 방재대책이 항구적인 방재대책으로 전환될 수 있는 방안 마련의 기초 자료로 활용되기를 기대한다., L-arabinose, 및 D-galactose; 제3차(第三次) 가수분해물(加水分解物)(C)에서 L-rhamnose, D-xylose, L-arabinose 및 D-galactose, 비가수분해물(非加水分解物)(C')에서 D-xylose와 D-galactose를 검출(檢出)하였다. (4) 구성당(構成糖)의 형태(形態)와 구조(構造)를 밝히기 위(爲)해 polysaccharide C에 대한 periodate산화(酸化) 실험(實驗)을 하여 $C_5H_8O_4$당(當) periodate의 소비(消費)와 formic acid의 생성량(生成量)을 측정(測定)하였는데 periodate의 소비량(消費量)은 1.23 mole, formic acid의 생성량(生成量)

• Journal of Intelligence and Information Systems
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• v.9 no.1
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• pp.91-107
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• 2003

In the conduct of this study, a web-enabled healthcare system for the management of hypertension was implemented through a hyperlink-based inference approach. The hyperlink-based inference platform was implemented using the hypertext capacity of HTML which ensured accessibility, multimedia facilities, fast response, stability, ease of use and upgrade, and platform independency of expert systems. Many HTML documents, which are hyperlinked to each other based on expert rules, were uploaded beforehand to perform the hyperlink-based inference. The HTML documents were uploaded and maintained automatically by our proprietary tool called the Web-Based Inference System (WeBIS) that supports a graphical user interface (GUI) for the input and edit of decision graphs. Nevertheless, the editing task of the decision graph using the GUI tool is a time consuming and tedious chore when the knowledge engineer must perform it manually. Accordingly, this research implemented an automatic generator of the decision graph for the management of hypertension. As a result, this research suggests a methodology for the development of Web-enabled healthcare systems using the hyperlink-based inference approach and, as an example, implements a Web-enabled healthcare system for hypertension, a platform which performed especially well in the areas of speed and stability.

• The Journal of the Korea Contents Association
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• v.20 no.10
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• pp.119-133
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• 2020

Recently, as famous YouTubers produce and broadcast videos that receive sponsorship and advertising such as indirect advertising (PPL), a so-called 'back advertising' controversy continues, and not only famous YouTubers but also entertainers are caught up in the issue. It is causing confusion among the public in Korea. This study attempts to find out the public's reaction before and after the controversy of 'back advertising' by YouTubers through comment analysis. Specifically, among text analysis using R programs, we intend to analyze the issue through various methods such as word cloud, qgraph analysis, LDA, and word2vec analysis, a deep learning technique. The target of the analysis was to analyze the channels of three YouTubers who belonged to the controversy of the 'back advertising' YouTuber and uploaded the 'Apology video'. The 5 most recent videos of Muk-bang YouTuber Moon Bok-hee, who has a similar content disposition to SussTV's Han Hye-yeon stylist, which was controversial, and Yang Pang, a YouTuber who showed various contents (August 09, 2020) Criterion and her first 5 videos uploaded were reviewed. As a result of the study, most of the comments that showed positive reactions before the controversy, but after the controversy, it was found that negative reactions accounted for most of the comments. Therefore, this study examines the degree of change of the public about influencers through comments after the controversy over 'back advertising' through various analysis using R program. This research also devises various measures to prevent the occurrence of back advertising of influencers in the future.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.11 no.4
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• pp.1458-1467
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• 2010

Recently, imitation and infringement rights of an intellectual property are being recognized as impediments to nation's industrial growth. To prevent the huge loss which comes from theses impediments, many researchers are studying protection and efficient management of an intellectual property in various ways. Especially, the prediction of patent registration is very important part to protect and assert intellectual property rights. In this study, we propose the patent document analysis method by using text mining to predict whether the patent is registered or rejected. In the first instance, the proposed method builds the database by using the word frequencies of the rejected patent documents. And comparing the builded database with another patent documents draws the similarity value between each patent document and the database. In this study, we used k-means which is partitioning clustering algorithm to select criteria value of patent rejection. In result, we found conclusion that some patent which similar to rejected patent have strong possibility of rejection. We used U.S.A patent documents about bluetooth technology, solar battery technology and display technology for experiment data.