• KOREAN JOURNAL OF CROP SCIENCE
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• v.48 no.3
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• pp.139-141
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• 2003

Disease severity, percent ripened grains, and yield were investigated in the seven mixtures by using near-isogenic lines having different resistant gene(s) to bacterial blight(BB) of rice. The seven mixtures including the four pure stands were inoculated with a 1:1:1 mixture of races $K_1$, $K_2$, and $K_3$ of BB. Among the seven mixtures-ML01, ML02, ML03, MLl2, MLl3, ML23 and ML0123-, disease severiety, percent ripened grains, and yield of ML01 and ML12, respectively did not show significant difference with those of mean values of their components. But degree of disease severity of the other mixtures, respectively -ML02, ML03, MLl3, ML23, and ML0123-was less than the mean of their components. Percent ripened grains and yield of them were higher than those of mean of their components. ML03, MLl3, ML23 and ML0123 comprised of the equal amount of two or four components having different resistant gene, these mixtures appeared to be a desirable combination for delaying spread of the pathogen, stabilizing of the race structure of the pathogen population, and extending durability of a cultivar with monogenic resistance.

• The Journal of the Korea Contents Association
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• v.20 no.8
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• pp.19-33
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• 2020

This study aims to analyze on the changes of opinion in terms of Sejong City construction using big data. The research data are newspaper articles related to the argument of construction in Sejong City. The newspaper article data was reported by Hankyoreh, Dong-A Ilbo and Hankook Ilbo. The arguments related to the construction of Sejong City was included the new administrative capita, multifunctional administrative city and amendments of Sejong City. The analysis method used in this study is frequency analysis, sentiment analysis and social network analysis using python and gephi 0.9.2 programs. The results of the analysis are as follows. First, as a result of frequency analysis, the keywords of Hankyoreh showed the characteristics of consent - consent - dissent according to the construction period of Sejong City. The Dong-A Ilbo showed positions of dissent - dissent - consent. In addition, the Hankook Ilbo was analyzed to have the characteristics of dissent - consent - dissent tendency. Secondly, results of sentiment analysis, The Hankyoreh showed positive - positive - negative tone. The characteristic of Dong-A Ilbo is that the focus has changed from negative to negative to positive. The Hankook Ilbo showed that changed from negative to positive to negative. Finally, the results of social network analysis are as follows. At the time of the construction of Sejong City, each opinion of media was showed a changes in issues according to political and ideological characteristics such as conservative, progressive and moderation. In detail, Hankyoreh focused on balanced regional development. The Dong-A Ilbo represented the opinion of the Conservative Party. The Hankook Ilbo was highlighting the issues confronting the conservative party and progressive party during the construction of Sejong City.

• Korean journal of communication and information
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• v.74
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• pp.136-176
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• 2015

Despite the great significance we attach on culture, only a handful of researches focus on the characteristics and practices of cultural journalism. This study has aimed to unravel the changes in the trajectory of cultural journalism of Korean major newspapers, through content analysis and qualitative interpretation of the cultural contents they report. The results show that the number of cultual items have decreased compared to that of 10 years ago, although the entire number of pages has meanwhile increased. News items focused on 'products(advertisement)' and 'life(style)' have increased, whereas those on 'knowledge refined' and 'leisure entertainment' have decreased. 'Critique review commentary', 'academics' and 'performance exhibition art music' items turn out to have decreased significantly; soft contents such as mass culture, tourism, fashion and beauty, on the other hand, have increased considerably. Moreover, the demographic characteristics of news contributors remain almost the same, except that the proportion of ordinary readers/audience has slightly increased. Similarly, although there were no difference regarding the sources of direct quotation, the frequency of quotes from ordinary readers has increased. Consequently, these results imply how the cultural journalism of Korean newspapers are limited in encompassing diverse types of content, differentiating constitution, and presenting critical viewpoints.

• Korean journal of communication and information
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• v.60
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• pp.28-51
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• 2012

This study explored the influence of media use on the audiences' intention to vote as well as their political cynicism in 2012 General elections. I offered three research questions: Research Question 1: What is the impact of media use on the political cynicism? Research Question 2: What are the impact of political intersest, political knowledge, media malaise, political efficacy on the political cynicism? Research Question 3: What is the impact of political cynicism on vote behavior? This study analysed survey data. Based on the results of hierarchial regression analysis and path analysis(AMOS), Internet news use was found to have a significant impact on the political cynicism. But the use of newspaper, TV news were not related to political cynicism. The political efficacy decreased political cynicism effectively, The findings from this study indicate that the relationship between media use and political cynicism is contingent on many factors and that cynicism has a negligible impact on citizen participation. This study also found that persons higher in efficacy were less cynical than low in efficacy. This suggest that cynicism is not always bad thing, that it may in fact be an indication of "an interested and critical citizenry". In conclusion this study showed that we need more in-depth analyses on the relationships among attention to media use, political cynicism and voting behavior to activate political participation.

• Journal of Digital Convergence
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• v.18 no.2
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• pp.277-284
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• 2020

Text mining is a representative method of big data analysis that extracts meaningful information from unstructured and large amounts of text data. Social media such as Twitter generates hundreds of thousands of data per second and acts as a one-person media that instantly and directly expresses public opinions and ideas. The traditional media are delivering informations, criticizing society, and forming public opinions. For this, we compare the responses of SNS with the responses of media on the issue of the termination of the Korea-Japan GSOMIA (General Security of Military Information Agreement), one of the domestic issues in the second half of 2019. Data collected from 201,728 tweets and 20,698 newspaper articles were analyzed by sentiment analysis, association keyword analysis, and cluster analysis. As a result, SNS tends to respond positively to this issue, and the media tends to react negatively. In association keyword analysis, SNS shows positive views on domestic issues such as "destruction, decision, we," while the media shows negative views on external issues such as "disappointment, regret, concern". SNS is faster and more powerful than media when studying or creating social trends and opinions, rather than the function of information delivery. This can complement the role of the media that reflects public perception.

• Journal of the East Asian Society of Dietary Life
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• v.6 no.1
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• pp.33-39
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• 1996

The aim of this study is to estimate the prevalence of obesity and factors with it Ulsan secondary school girls. A cross-sectional study involving a sample of 485 students aged 12 to 15 years was obtained form secondary schools. Obesity was determined using body mass index(BMI=wt/Ht$^2$). The findings revealed that the average BMI was 19.3, and 4.5% of girls were either overweight and obese(BMI$\geq$25). Subjects were grouped into three categories based on the BMI, sibling obesity, self-consciousness of obesity, eating patterns such as eating snack after dinner and prejudice in food selection, and food frequency score were significantly associated nth BMI, while nutrition knowledge score was not associated with BMI. The fact that several social, environmental and health factors are associated with obesity means that a multisectorial intervention program must be considered in order to decrease the problem of overweight among secondary girls. Such program should include dietary intervention to modify food habits, nutrition education through mass media, introducing information on prevention and control obesity in school curriculum, and allocating sufficient time in the school schedule for exercise activities.

• Journal of Society of Occupational Therapy for the Aged and Dementia
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• v.12 no.2
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• pp.67-74
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• 2018

Objective : The purpose of this study is to quantitatively analyze the role of occupational therapy in long - term care insurance for the elderly using text mining, one of the big data analysis techniques. Method : For the analysis of newspaper articles, "Long - Term Care Insurance for the Elderly + Occupational Therapy for the Elderly" was collected after the period from 2007 to 208. Naver, which has a high share of the domestic search engine, utilized the database of Naver News by utilizing Textom, a web crawling tool. After collecting the article title and original text of 510 news data from the collection of the elderly long term care insurance + occupational therapy search, we analyzed the article frequency and key words by year. Result : In terms of the frequency of articles published by year, the number of articles published in 2015 and 2017 was the highest with 70 articles (13.7%), and the top 10 terms of the key word analysis showed the highest frequency of 'dementia' (344) In terms of key words, dementia, treatment, hospital, health, service, rehabilitation, facilities, institution, grade, elderly, professional, salary, industrial complex and people are related. Conclusion : In this study, it is meaningful that the textual mining technique was used to more objectively confirm the social needs and the role of the occupational therapist for the dementia and rehabilitation in the related key keywords based on the media reporting trend of the elderly long - term care insurance for 11 years. Based on the results of this study, future research should expand research field and period and supplement the research methodology through various analysis methods according to the year.

• Trans-
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• v.13
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• pp.1-16
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• 2022

Recently, the method of contacting and purchasing NFT art has been popularly evolving, and various prospects and predictions for NFT art have emerged. The discussion of NFT art is mainly a hot topic in terms of market size, profit, and sustainability. As the transition to digital accelerated after COVID-19, almost all genres of culture and arts faced a forced transition with the topic of combining digital and technology, but in terms of profitability, it was generally difficult to guarantee positive continuity. On the other hand, the combination of art and blockchain, and the new distribution method called NFT, attracted a lot of attention by causing fundamental changes that lead to technological transformation, continuity through profit creation, and even genre expansion of visual art. The discourse on NFT and the art market is a recent phenomenon and is being discussed focusing on statistics and numerical reports through data from newspapers and art-related research institutes rather than academic analysis or research. However, discussions related to NFT art should be considered in various aspects, such as the incorporation of technology and art, changes in distribution methods, and changes in creative methods according to media changes, not just short stories of phenomena such as high prices and winning bids. In this paper, we would like to examine the impact of changes in creators and distribution methods.

• 한국노년학
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• v.40 no.1
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• pp.51-72
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• 2020

The purpose of this study is to understand the experiences of older adults living in the public welfare housing for the elderly and to examine what kind of this housing is as the housing alternative. Through the Robert Stake's intrinsic case study, it explored how older residents experienced this place, and how the relationships between residents, office workers, and community had been in the process, and what kind of issues were there. Various kinds of data, such as resident surveys, participant observations, interviews with 76 elderly residents and 4 office workers, and related newspaper articles, were analyzed using the thematic analysis method and methods suggested by Stake(1995). The results are presented as follows. First, it looked at who lived here and explored what was happening in this place where people of various backgrounds were gathered. Second, four types of life could be seen centering on the social relationship and daily life of older adults. Third, this study examined how the various ways of life were related to the main reasons for moving in here, and summarized how the residents perceived this place. The fourth and the fifth examined the relationships and dynamics among older residents, with office workers, and with the community, focusing on the two issues most commonly mentioned by residents. The results of this study show that, as a living organism, the interaction between the systems affects not only the culture of the housing, but also the lives of older adults. In particular, it can be seen how the perceptions of the practitioners are affecting the lives of the elderly. Based on the results of the study, further considerations were discussed.

• Proceedings of the Korea Water Resources Association Conference
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• 2021.06a
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• pp.267-267
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• 2021

제주도는 화산섬의 지질특성상 강수의 지표침투성이 높아 지표수의 개발이용여건이 취약한 관계로 용수의 대부분을 지하수에 의존하고 있다. 따라서 지하수의 보전관리는 매우 중요한 사항이며 특히 지하수의 안정적인 이용을 위해서는 지하수 취수가 주변지역 지하수위에 미치는 영향 분석이 반드시 필요하다. 본 연구는 딥러닝 알고리즘인 Long Short-Term Memory(LSTM)를 활용하여 제주도 남동쪽 표선유역 중산간지역에 위치한 2개 지하수위 관측정을 대상으로 지하수 취수영향을 분석하였다. 입력자료로써 인근 2개 강우관측소의 일단위 강수량자료와 인근 6개 취수정의 지하수 취수량자료 및 연구대상 관측정의 지하수위 자료(2001. 2. 11. ~ 2019. 10. 31.)를 사용하였다. 지하수위 변동특성을 최대한 반영하기 위해 LSTM의 예측일수를 1일로 설정하였다. 보정 및 검증 기간을 사용하여 매개변수의 과적합을 방지하였으며, 테스트 기간을 사용하여 LSTM의 예측성능을 평가하였다. 평가지수로써 Nash-Sutcliffe Efficiency(NSE)와 평균제곱근오차(RMSE)를 사용하였다. 그리고 지하수 취수가 주변 지하수위 변동에 미치는 영향을 분석하기 위해 취수량을 최대취수량인 2,300 m³/일, 최대취수량의 2/3인 1,533 m³/일 및 0 m³/일로 설정하여 모의하였다. 모의결과, 2개 감시정의 보정, 검증 및 예측기간에 대한 NSE는 최대 0.999, 최소 0.976의 범위를 보였으며, RMSE는 최대 0.494 m, 최소 0.084 m를 보여 LSTM은 우수한 예측성능을 나타내었다. 이것은 LSTM이 지하수위 변동특성을 적절히 학습하였다는 것을 의미하며 따라서 추정된 매개변수를 활용하여 지하수 취수영향을 모의 및 분석하였다. 그 결과, 지하수위 하강량은 최대 0.38 m 였으며 이것은 대상지점에 대한 취수량은 지하수위 하강에 거의 영향을 주지 않는다는 것을 의미한다. 또한 취수량과 지하수위 하강량과의 관계는 한 개 관측정에 대해 선형적인 관계를 보인 반면 나머지 한 개 관측정에 대해서는 비선형적인 관계를 나타내는 것을 확인하였다. 따라서 LSTM 알고리즘을 활용하여 제주도 표선유역 중산간지역의 지하수위 변동특성을 분석할 수 있다.