• Journal of Korean Library and Information Science Society
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• v.27
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• pp.27-59
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• 1997

The primary purpose of this study is to compare a specific characteristic of Ulhacha -printed books with Imitating Ulhacha-printed books to distinguish from each others. Ulhacha was made in the first year of King Secho (1455) used before Hideyoshi's Invasion of Korea in 1592, there are many kinds books printed with it. For this reason, Ulhacha used to printed books for long period, the letters were worn down and must be filled up with su n.0, pplementary letters during the reign of King Chungchong and Myungchong. And at the early times of King Suncho, Many letters were su n.0, pplement and printed many kinds of books very neatly. Ulhacha-printed books were classified four sorts of books according to its characteristic to examine closely. From the latter half of the 16th century, the beginning of King Suncho, what is called Imitating Ulhacha-printed book, many copies of book were printed off imitated with Ulhacha. Imitating Ulhacha-printed books also classified four kinds of books according to its characteristic. Being glance at imitated letters, they were similar to Ulhacha and confused one thing with another. To distinguish Ulhacha-printed books from imitated letter ones, it is important to discriminate each others. Generally speaking, imitating Ulhacha letters were resemblant Ulhacha closely, it is not easy to distinguish Ulhascha from imitated letter. But they have a tendency to exhibit more thin style than Ulhacha and different from its size. Out of Ulhacha-printed books, the big letters in Hunsa printed in the 7th years of reign of King Secho and Hangulcha in Kumgang panya paramil kyong samgahae printed in the 13th years of the reign of King Sung chong come in to question. Nevertheless the big letters in Hunsa is consider to be that of Ulhacha and Hangucha in Kumgang panya paramil kyong samgahae also to be Ulhacha mixed with Hang lcha, disagreement of opinions has been opted to give rise to problem. In order to verify such a problem, it is more convenient to use OHP film copied those letters than the naked eyes. As a result of collating with OHP film, the problem was proven to be above-mentioned.

• Journal of the Korean Society for information Management
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• v.35 no.3
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• pp.41-75
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• 2018

The purpose of this study is to analyze the characteristics of Korean media on the topic of archives & records management based on time-series analysis. In this study, from January, 1999 to June, 2018, 4,680 news articles on archives & records management topics were extracted from BigKinds. In order to examine the characteristics of the media coverage on the archives & records management topic, this study was analyzed to the difference of the press coverage by period, subject, and type of the media. In addition, this study was conducted word-frequency based content analysis and semantic network analysis to investigate the content characteristics of media on the subject. Based on these results, this study was analyzed to the differences of media coverage by period, subject, and type of media. As a result, the news in the field of records management showed that there was a difference in the amount of news coverage and news contents by period, subject, and type of media. The amount of news coverage began to increase after the Presidential Records Management Act was enacted in 2007, and the largest amount of news was reported in 2013. Daily newspapers and financial newspapers reported the largest amount of news. As a result of analyzing news reports, during the first 10 years after 1999, news topics were formed around the issues arising from the application and diffusion process of the concept of archives & records management. However, since the enactment of the Presidential Records Management Act, archives & records management has become a major factor in political and social issues, and a large amount of political and social news has been reported.

• The Journal of the Korea Contents Association
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• v.18 no.9
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• pp.14-33
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• 2018

The purpose of this study to analyze the informatization trends in Korea through objective newspaper data for the period from 1998 to 2017 for informatization and library in four newspapers including KyoungHyang Newspaper, Kookmin Ilbo, Hankyoreh and Hankookilbo. Based on the analysis results of metadata and related words using BIGKinds, a news big data system, this study presented analysis of simple frequency, classification and classification of the keywords 'information', 'informatization' and 'library'. Based on the results, we compared and analyzed the tendency of informatization in the media through comparison with the 'Information White Paper' which is the publication of government agencies and with research about the research topic of 4 academic journals in the Library and Information Science field. This study tried to interpret the trends of informatization based on the media and it is meaningful that we analyzed the big data of newspaper article which is the long term and time series data. Based on the results of the study, implications of the growth and development of libraries with domestic informatization were suggested. It is expected that we will be able to create a basic framework for developing library informatization policy through the further studies.

• The Journal of the Korea institute of electronic communication sciences
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• v.10 no.12
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• pp.1403-1410
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• 2015

The purpose of this study is to provide ways to utilize and create valuable medical information utilizing Medical Big Data created by field in hospital information system. The results of this study first creates new medical information of Medical Information system through medical big data analysis and integration of created data of PACS linked with many kinds of testing equipment and medical image equipment along with medical treatment information. Medical information created in this way produces various health information for treatment and prevention of disease and infectious disease. Second, it creates profit statistics information in various ways by analyzing medical big data accumulated through integration of billings and receipt, admission breakdown of patients. Profit statistics information created in this way produces various administration information to be utilized in profit anaysis and operation of medical institution. Likewise, data integration of personal health history, medical information of public institutions, medical information created in hospital information system produces valuable medical health information utilizing medical data.

• The Journal of the Convergence on Culture Technology
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• v.9 no.4
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• pp.269-275
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• 2023

In 2021, the 150th anniversary of Proust's birth, and in 2022, the 100th anniversary of his death, the interest in À la recherche du temps perdu increased. We took advantage of a digital humanities approach to make these seven novels known as difficult easily accessible to French literature major korean students. We let the students analyze using the analyzing tools for the big data and find some clues to understand the works through the visualized data. We picked out the main characters and places that appear in his works with Wordcloud, and checked the awareness of Proust in domestic and foreign through the various sites to analyze the big data, such as Big Kinds and Textom. Through the methodology of digital humanities, the students commented that they have gradually enlarged their understanding breadth for Proust's 『In Search of Lost Time』 rather than giving up it as difficult. This study confirmed that applying the big data analysis and digital humanities is an appropriate teaching method in finding ways for the students to broaden the understanding of French literature.

• Journal of the Korea Society of Computer and Information
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• v.28 no.10
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• pp.257-266
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• 2023

The aim of this study is to use media big data to understand the characteristics and changes in technology that prevents wandering and missing for dementia patients as well as supports safe walking since 1990 until recently. BigKinds as a media big data was used to conduct an analysis in two stages. In the results, first, the media reports began to be reported in the early 2000s, and it increased after 2014. Second, regarding to the characteristics of changes in technology and device utilization, there has been a change to advanced technology that combines AI and IoT, focusing on GPS. Drone has recently increased in media report, however problems of personal information security need to be resolved. Third, technology development focused on location identification by police and guardians. Based on the results, technology development and community cooperation for dementia patient were discussed.

• The Journal of the Korea institute of electronic communication sciences
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• v.14 no.2
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• pp.317-322
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• 2019

This study is based on big big data base for real-time collection/analysis/processing of data, creative analysis of data assets, and intelligent processing system based on IoT, which can measure distribution phase in real time. The mobile terminal uses the SDK of the provided device to measure the data information on the consumption of specific seafood production and distribution. We use the oneM2M protocol to store various kinds of information needed for seafood production, and implement a DB Server and a system that allows the administrator to manage the system using the UI.

• Journal of the Korea Society of Computer and Information
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• v.27 no.4
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• pp.37-43
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• 2022

In this paper, we calculate the word frequency by date and region using news data related to COVID-19 distributed for about 8 months from December 2019 to July 2020, and visualized the correlation with the current state data of COVID-19 patients using the results. News data was collected from Big Kids, a news big data system operated by the Korea Press Promotion Foundation. The visualization system proposed in this paper shows the news frequency of the selected region compared to the overall region, the key keyword of the selected region, the region of the main keyword, and the date change of the selected region. Through this visualization, the main keywords and trends of COVID-19 confirmed and infected people can be identified for previous events.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.05a
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• pp.155-156
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• 2021

The development history of China's big data is relatively short, and it has only been ten years so far. Although the application level of big data in real life is not high, some achievements have been made in the supply chain. Various kinds of data will be generated in the actual operation of the supply chain. If these data can be effectively classified and used, the "bullwhip effect" of the operation of the supply chain can be also effectively improved. Thus this paper proposes the development of a supply chain collaborative inventory management model and application framework using big data.

• Journal of The Korean Astronomical Society
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• v.36 no.spc1
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• pp.13-20
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• 2003

Observations have indicated that magnetic reconnect ion may occur frequently in the photosphere and chromosphere as well as in the solar corona. The observed features include cancelling magnetic features seen in photospheric magnetograms, and different kinds of small-scale activities such as UV explosive events and EUV jets. By integrating the observed parameters of these features with the Sweet-Parker reconnect ion theory, an attempt is made to clarify the nature of chromospheric magnetic reconnection. Our results suggest that magnetic reconnect ion may be occurring at many different levels of the photosphere and chromosphere without a preferred height and at a faster speed than is predicted by the Sweet-Parker reconnect ion model using the classical value of electric conductivity. Introducing an anomalous magnetic diffusivity 10-100 times the classical value is one of the possible ways of explaining the fast reconnect ion as inferred from observations.