• Title/Summary/Keyword: 외교사료

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A Study on the Korea-U.S. Negotiation Process for AFKN-TV Color Broadcasting in 1977

  • Yoon, Sangkil
    • Journal of the Korea Society of Computer and Information
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    • v.27 no.8
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    • pp.111-121
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    • 2022
  • The purpose of this study is to examine the historical facts about the negotiation process between Korea and the U.S. over the launch of AFKN-TV's color broadcasting in 1977, which can be evaluated as the first time that the government raised the issue of broadcasting sovereignty against the U.S. government. More specifically, through literature research on archive documents stored in the Korean National Archives and Diplomatic Archive of Korea National Diplomatic Academy, this study examined the arguments, perceptions, and actions of the two governments by dividing three phases of the negotiation process. As a result of the study, the negotiations with the U.S. government over the unilateral color broadcasting of AFKN-TV in early 1977 and the conflict between the two countries led to a new perspective of broadcasting sovereignty. The Korean government's commitment to broadcasting sovereignty targeted the U.S. government in the 1980s once again.

A Study on the Korea-U.S. Negotiation Process for AFKN-TV Satellite Broadcasting in 1983

  • Sangkil Yoon
    • Journal of the Korea Society of Computer and Information
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    • v.28 no.5
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    • pp.39-47
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    • 2023
  • The purpose of this study is to examine the progress of negotiations between the two countries regarding the implementation of AFKN's satellite broadcasting on October 4, 1983, as well as the opposition of domestic public opinion, which emerged as an important variable in the negotiation process. Through this, it was intended to lay the foundation for the historical facts necessary to interpret the negotiation process between the two countries over the implementation of AFKN's satellite broadcasting in the context of world history of cultural globalization. As a research method, the historical literature research method was used, focusing on archive documents stored in diplomatic archives. The study revealed that public opinion's movement toward cultural imperialism under domestic political conditions, which had authoritarian control over the media, served as an accidental factor to help carry out the regime's interests of regime protection. Through these findings, this paper interpreted that AFKN-TV's satellite broadcasting, which was implemented under the U.S. Department of Defense plan without the prior consent of the Korean government, clearly shows that Korea has been "semi-forced" into the U.S.-led cultural globalization order.

The status, classification and data characteristics of Seonsaengan(先生案, The predecessor's lists) in Jangseogak(藏書閣, Joseon dynasty royal library) (장서각 소장 선생안(先生案)의 현황과 사료적 가치)

  • Yi, Nam-ok
    • (The)Study of the Eastern Classic
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    • no.69
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    • pp.9-44
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    • 2017
  • Seonsaengan(先生案) is the predecessor's lists. The list includes the names of the predecessor, the date of the appointment, the date of return, the previous job, and the next job. Therefore, previous studies on the local recruitment and Jungin (中人) that can not be found in general personnel information of the Joseon dynasty were conducted. However, the status and classification of the list has not been achieved yet. So this study aims to clarify the status, classification and data characteristics of the list. 176 books, are the Joseon dynasty lists of predecessors, remain to this day. These lists are in Jangseogak(47 cases), Kyujanggak(80 cases), the National Library of Korea(24 cases) and other collections(25 cases). Jangseogak has lists of royal government officials, Kyujanggak has lists of central government officials, and the National Library of Korea and other collections have lists of local government officials. However, this paper focuses on accessible Jangseogak list of 47 cases. As I mentioned earlier, the Jangsaegak lists are generally related to the royal government officails. This classification includes 18 central government officials, 5 local government officials, and 24 royal government officails. If the list is classified as contents, it can be classified into six rituals and diplomatic officials, 12 royal government officials, 5 local government officials, 14 royal tombs officials, and 10 royal education officials. Through the information on the list, the following six characteristics can be summarized. First, it can be finded the basic personal information about the recorded person. Second, the period of office and reasons for leaving the office and office can be known. Third, changes in the office system can be confirmed. Fourth, it can be looked at one aspect of the personnel administration system of the Joseon Dynasty through the previous workplace and the next job. Fifth, it is possible to know days that are particularly important for each government. Sixth, the contents of work evaluation can be confirmed. This is the reality of the Joseon Dynasty, which is different from the contents recorded in the Code. Through this, it is possible to look at the personnel administration system of the Joseon Dynasty. However, in order to carry out a precise review, it is necessary to make a database for 176 lists. In addition, if data is analyzed in connection with existing genealogy data, it will be possible to establish a basis for understanding the personnel administration system of the Joseon Dynasty.

Analysis of media trends related to spent nuclear fuel treatment technology using text mining techniques (텍스트마이닝 기법을 활용한 사용후핵연료 건식처리기술 관련 언론 동향 분석)

  • Jeong, Ji-Song;Kim, Ho-Dong
    • Journal of Intelligence and Information Systems
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    • v.27 no.2
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    • pp.33-54
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    • 2021
  • With the fourth industrial revolution and the arrival of the New Normal era due to Corona, the importance of Non-contact technologies such as artificial intelligence and big data research has been increasing. Convergent research is being conducted in earnest to keep up with these research trends, but not many studies have been conducted in the area of nuclear research using artificial intelligence and big data-related technologies such as natural language processing and text mining analysis. This study was conducted to confirm the applicability of data science analysis techniques to the field of nuclear research. Furthermore, the study of identifying trends in nuclear spent fuel recognition is critical in terms of being able to determine directions to nuclear industry policies and respond in advance to changes in industrial policies. For those reasons, this study conducted a media trend analysis of pyroprocessing, a spent nuclear fuel treatment technology. We objectively analyze changes in media perception of spent nuclear fuel dry treatment techniques by applying text mining analysis techniques. Text data specializing in Naver's web news articles, including the keywords "Pyroprocessing" and "Sodium Cooled Reactor," were collected through Python code to identify changes in perception over time. The analysis period was set from 2007 to 2020, when the first article was published, and detailed and multi-layered analysis of text data was carried out through analysis methods such as word cloud writing based on frequency analysis, TF-IDF and degree centrality calculation. Analysis of the frequency of the keyword showed that there was a change in media perception of spent nuclear fuel dry treatment technology in the mid-2010s, which was influenced by the Gyeongju earthquake in 2016 and the implementation of the new government's energy conversion policy in 2017. Therefore, trend analysis was conducted based on the corresponding time period, and word frequency analysis, TF-IDF, degree centrality values, and semantic network graphs were derived. Studies show that before the 2010s, media perception of spent nuclear fuel dry treatment technology was diplomatic and positive. However, over time, the frequency of keywords such as "safety", "reexamination", "disposal", and "disassembly" has increased, indicating that the sustainability of spent nuclear fuel dry treatment technology is being seriously considered. It was confirmed that social awareness also changed as spent nuclear fuel dry treatment technology, which was recognized as a political and diplomatic technology, became ambiguous due to changes in domestic policy. This means that domestic policy changes such as nuclear power policy have a greater impact on media perceptions than issues of "spent nuclear fuel processing technology" itself. This seems to be because nuclear policy is a socially more discussed and public-friendly topic than spent nuclear fuel. Therefore, in order to improve social awareness of spent nuclear fuel processing technology, it would be necessary to provide sufficient information about this, and linking it to nuclear policy issues would also be a good idea. In addition, the study highlighted the importance of social science research in nuclear power. It is necessary to apply the social sciences sector widely to the nuclear engineering sector, and considering national policy changes, we could confirm that the nuclear industry would be sustainable. However, this study has limitations that it has applied big data analysis methods only to detailed research areas such as "Pyroprocessing," a spent nuclear fuel dry processing technology. Furthermore, there was no clear basis for the cause of the change in social perception, and only news articles were analyzed to determine social perception. Considering future comments, it is expected that more reliable results will be produced and efficiently used in the field of nuclear policy research if a media trend analysis study on nuclear power is conducted. Recently, the development of uncontact-related technologies such as artificial intelligence and big data research is accelerating in the wake of the recent arrival of the New Normal era caused by corona. Convergence research is being conducted in earnest in various research fields to follow these research trends, but not many studies have been conducted in the nuclear field with artificial intelligence and big data-related technologies such as natural language processing and text mining analysis. The academic significance of this study is that it was possible to confirm the applicability of data science analysis technology in the field of nuclear research. Furthermore, due to the impact of current government energy policies such as nuclear power plant reductions, re-evaluation of spent fuel treatment technology research is undertaken, and key keyword analysis in the field can contribute to future research orientation. It is important to consider the views of others outside, not just the safety technology and engineering integrity of nuclear power, and further reconsider whether it is appropriate to discuss nuclear engineering technology internally. In addition, if multidisciplinary research on nuclear power is carried out, reasonable alternatives can be prepared to maintain the nuclear industry.