• Title/Summary/Keyword: 민생

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Critical Approach to the Discourse of Livelihood in Korean Newspaper's Editorial (민생 없는 민생 담론 -한국 종합일간지 사설에 대한 비판적 담론 분석)

  • Lee, JungMin;Lee, SangKhee
    • Korean journal of communication and information
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    • v.67
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    • pp.88-118
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    • 2014

  • This study attempted to clarify (1) the meaning of 'people's livelihood (Minsaeng, 民生)' conveyed by the newspapers in Korean society and the specific matter it refers to, and (2) consider the discourse formed by the newspapers and what does and does not change in that discourse over the passage of time. Editorials were classified and analyzed based on the framework of Fairclough's critical discourse analysis(CDA). It was clear, from the political perspective, that the discourse was respectively formed and changed for each administration. The discourse on 'people's livelihood' was critical and at the same time generally negative, because it dealt with the important social incidents or controversies of the time. The discourse on 'people's livelihood' related to the massive social streams of Korea's democratization and globalization process. Whereas the discourse on 'people's livelihood' in the 1990s, seen from an economic perspective, tried to resolve labor strikes, inflation rate, housing problem, and financial crisis. The discourse in the 2000s changed to issues ranging from economic growth and distribution to bi-polarization problem, job creation, abolishment of non-regular employments, etc. The meaning of 'people's livelihood' produced in the editorials of the major daily newspapers is different from the word's dictionary definition as 'the people's lives'.

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첨단과학현장 - 첨단군사기술의 민생이용

  • Hyeon, Won-Bok
    • The Science & Technology
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    • v.29 no.1 s.320
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    • pp.75-81
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    • 1996

  • 미국을 비롯한 세계 주요 국가들은 동서간의 긴장이 풀리면서 그동안 갈고 닦은 군사기술을 민생분야에서 활용해 보려는 시도를 활발하게 전개하고 있다. 군사용 기술은 투자를 아끼지 않고 개발한 것이기 때문에 그 분야에서는 최첨단을 걷은 첨단기술들이 많다. 미국이 군사적인 필요에서 개발한 인터넷이나 지구측위위성(GPS)의 예와 같이 민생분야로 이전된 일부의 군사기술은 산업전반에 막대한 영향을 미치고 있다. 각국의 군사기술 민간이전 정책과 현황을 알아본다.

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북한의 기업관리에서 환율의 적용

  • Jeon, Gyeong-Ju
    • KDI북한경제리뷰
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    • v.23 no.7
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    • pp.31-38
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    • 2021

  • 북한은 최근 당중앙위원회 제8기 제3차 전원회의에서 민생안정을 핵심 사항으로 규정하고 민생 향상을 위한 행보를 보이고 있다. 북한은 '우리 당이 인민의 생명과 생활을 전적으로 책임지고 무조건적인 복무로 받드는 것은 결코 자금이 남아돌아 가서가 아니다'라며 자금난을 강조하였는바, 현재 북한 내 자금 상황이 악화하고 있음을 단적으로 보여주고 있다. 본 자료에서는 북한 자금 운용의 중요한 요소인 환율이 기업관리에서 어떻게 적용되고 있는가를 그 종류와 목적, 제정 단위, 적용 방법의 면에서 설명하여 북한경제의 운영에 대한 구체적인 이해를 돕고자 한다. 자료는 북한 관련법 및 문건, 도서, 간행물 등을 주로 참고하였다.

Artificial Intelligence Algorithms, Model-Based Social Data Collection and Content Exploration (소셜데이터 분석 및 인공지능 알고리즘 기반 범죄 수사 기법 연구)

  • An, Dong-Uk;Leem, Choon Seong
    • The Journal of Bigdata
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    • v.4 no.2
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    • pp.23-34
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    • 2019

  • Recently, the crime that utilizes the digital platform is continuously increasing. About 140,000 cases occurred in 2015 and about 150,000 cases occurred in 2016. Therefore, it is considered that there is a limit handling those online crimes by old-fashioned investigation techniques. Investigators' manual online search and cognitive investigation methods those are broadly used today are not enough to proactively cope with rapid changing civil crimes. In addition, the characteristics of the content that is posted to unspecified users of social media makes investigations more difficult. This study suggests the site-based collection and the Open API among the content web collection methods considering the characteristics of the online media where the infringement crimes occur. Since illegal content is published and deleted quickly, and new words and alterations are generated quickly and variously, it is difficult to recognize them quickly by dictionary-based morphological analysis registered manually. In order to solve this problem, we propose a tokenizing method in the existing dictionary-based morphological analysis through WPM (Word Piece Model), which is a data preprocessing method for quick recognizing and responding to illegal contents posting online infringement crimes. In the analysis of data, the optimal precision is verified through the Vote-based ensemble method by utilizing a classification learning model based on supervised learning for the investigation of illegal contents. This study utilizes a sorting algorithm model centering on illegal multilevel business cases to proactively recognize crimes invading the public economy, and presents an empirical study to effectively deal with social data collection and content investigation.

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