• 제목/요약/키워드: International trends

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정보보안에 대한 국내외 연구 트렌드 비교 (Comparison of Domestic and International Research Trend on Information Security)

  • 김원필
    • 한국정보통신학회논문지
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    • 제19권8호
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    • pp.1811-1817
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    • 2015
  • 본 논문은 국내에서 수행된 정보보안에 연구 트렌드를 분석하고, 국제적 연구 트렌드와 비교함으로써 향후 국가차원에서 나아가야할 방향에 대해 고찰해보고자 한다. 이는 기존에 수행된 정보보안의 국제 연구 트렌드 분석에 대한 후속작으로, 기존 연구의 결과와 정확한 비교를 위해 동일한 분석 방법을 이용한다. 이를 위해 2001년부터 2014년까지 발표 및 게재된 국내 논문을 활용하며, 보안과 깊이 관련된 기술들 사이의 시간별 연관성을 측정하여 국내 연구 트렌드를 분석하고, 그 결과를 비교한다. 또한 국내외의 미래 기술 시장을 함께 고려함으로써 향후 우리가 나아가야 할 발향을 살펴보고자 한다.

Semantic Network Analysis of Physiotherapy Research: Based on Studies Published in the Journal of IAPTR

  • Go, Junhyeok;Yeum, Dongmoon;Kim, Nyeonjun;Choi, Myungil
    • 국제물리치료학회지
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    • 제10권4호
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    • pp.1926-1933
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    • 2019
  • Background: Physical therapy has been widely studied in various fields, however, the academic trends and characteristics has not been systematically analyzed. Semantic network analysis is used as an approach for this study. Objective: To explore academic trends and knowledge system in the physiotherapy research in the Journal of International Academy Physical Therapy (J of IAPTR) Study design : Literature review Method: Semantic network analysis was conducted using the titles of 272 articles published in the Journal of IAPTR from 2010 to 2019. Results: Frequency analysis revealed following most frequently used key words; Stroke (27 times), Balance (21 times), Elder (13 times), Forward head posture (FHP, 11 times), Muscle activity (9 times). The relationship between the presented keywords is divided into six subgroups (FHP and pain, walk and quality, elder and balance, stroke and apoptosis, muscle strength and function) according to their correlation and frequency to be used together. Conclusion: The study is considered to be of help to researchers who want to identify research trends in physiotherapy.

스마트시티 국제표준화 동향 (Smart City Standardization Trends)

  • 이준섭
    • 전자통신동향분석
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    • 제33권2호
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    • pp.86-90
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    • 2018
  • ISO, IEC, ISO/IEC JTC 1 and ITU-T have been preparing for smart city standardization since 2013, and as a result of related activities, four international standardization groups, namely, ITU-T SG20, IEC Systems Committee on Smart Cities, ISO TC268, and ISO/IEC JTC 1/WG 11, have been established, and the development of related international standards is progressing. In this paper, the status of the standardization activities of ITU-T SG20, the IEC Systems Committee on Smart Cities, ISO TC268, and ISO/IEC JTC 1/WG 11 are reviewed.

저고도 소형드론 식별 기술 및 표준화 동향 (Trends in Low Altitude Small Drone Identification Technology and Standardization)

  • 강규민;박재철;최수나;오진형;황성현
    • 전자통신동향분석
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    • 제34권6호
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    • pp.164-174
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    • 2019
  • This article presents low altitude small drone identification trends at home and abroad. To reduce the dysfunction caused by the proliferation of drones worldwide, there is a growing interest in remote identification technologies that can identify the basic information of the drone. First, this article introduces policy trends in major countries. US, Europe, and China have recently provided recommendations regarding technologies available for the remote identification and tracking of a drone. Next, standardization activities on identification communications and identification systems are introduced. For this, standards organizations for the small drone identification, such as the International Organization for Standardization, IEEE 802, Radio Technical Commission for Aeronautics, International Civil Aviation Organization, and $3^{rd}$ Generation Partnership Project, are investigated. Finally, drone identification technology trends are introduced. In the US and Europe, various drone identification technologies have been studied to identify a drone owner and drone registration information with a drone identifier. In South Korea, drone identification technology is still in its infancy, whereas drone detection and physical counterattack technologies are somewhat more developed. As such, major drone manufacturers are also currently studying and developing drone identification systems.

WTO/SPS 통보문 분석 연구 - 식품안전조치를 중심으로 - (Study on the Notifications of WTO/SPS - Focused on Food Safety Measures -)

  • 신성균
    • 한국식품영양학회지
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    • 제22권2호
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    • pp.252-260
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    • 2009
  • According to Article 7 and Annex B of the World Trade Organization(WTO) Agreement on the Application of Sanitary and Phytosanitary(SPS) Measures, WTO members are required to notify their newly established or amended SPS measures that might affect international trade. This study analyzed SPS notifications from 1995 to 2008 to identify international trends for food safety measures. The notifications were collected from the SPS information management system and the official document distribution system of WTO. The 153 WTO members represented 37 developed countries, 84 developing countries and 32 least developed countries. The number of overall notifications was 9,820. The annual notifications increased from 198 in 1995 to 1,264 in 2008. The monthly average notifications were from 44.8 in December to 69.5 in June; however, there were no statistical differences among them. The six leading Members in terms of notification submissions were United States(U.S.), Brazil, New Zealand, Canada, European Community and Korea. Among the regular and emergency notifications, 62.7% notifications were concerned with food safety, followed by animal and plant protections. Among animal protection notifications, 54.8% were emergency situations. Of the 4,821 food safety notifications, 60.4% were from developed countries, and 39.3% were from developing countries. Measures concerning pesticide residues and risk assessments were mainly from developed countries. In contrast, 77.5% of the measures concerning zoonoses were from developing countries. However considering the numbers of developing and developed countries, the average number of measures for each country was similar. Food safety measures were mainly involved pesticide residues followed by food additives, zoonoses, new regulations, labeling. As the overall notifications, zoonosis measures were mainly emergency notifications. Measures concerning pesticide residues, food additives, zoonoses, new regulations, veterinary drugs, and labeling were submitted most often by the U.S., Korea, Albania, U.S., Australia, and U.S., respectively. Identifying the exact trends of food safety measures was complicated by a number of factors. However, WTO notifications might be useful tool in providing a general view of international trends.

키워드 네트워크 분석을 활용한 글로벌가치사슬(GVCs) 연구동향 분석 (A Study on Global Value Chains(GVCs) Research Trends Based on Keyword Network Analysis )

  • 박현용;최영준;이가은
    • 무역학회지
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    • 제45권5호
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    • pp.239-260
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    • 2020
  • This research was conducted on 176 GVCs-related research papers listed in the Index of Korean Academic Writers. The analysis methodology used the keyword network analysis methodology of big data analysis. For the comprehensive analysis of research trends, the research trends through word frequency (TF), important topic (TF-IDF), and topical modeling were analyzed in 176 papers. In addition, the research period of GVCs was divided into the early stages of the first study (2003-2014), the second phase of the study (2015-2017), and the third phase of the study (2018-2020). According to the comprehensive analysis, the GVCs research was conducted with the keyword 'value added' as the center, focusing on the keywords of export (trade), Korea, business, influence, and production. Major research topics were 'supporting corporate cooperation and capacity building' and 'comparative advantage with added value of overseas direct investment'. According to the analysis of major period-specific research trends, GVCs were studied in the early stages of the first phase of the study with global value chain trends and corporate production strategies. In the second research propulsion period, research was done in terms of trade value added. In the recent third phase of the study, small and medium-sized enterprises actively participated in the global value chain and actively researched ways to support the government. Through this study, the importance of the global value chain has been confirmed quantitatively and qualitatively, and it is recognized as an important factor to be considered in the strategy of enhancing industrial competitiveness and entering overseas markets. In particular, small and medium-sized companies' participation in the global value chain and support measures are being presented as important research topics in the future.

ETRI AI 실행전략 7: AI로 인한 기술·사회적 역기능 방지 (ETRI AI Strategy #7: Preventing Technological and Social Dysfunction Caused by AI)

  • 김태완;최새솔;연승준
    • 전자통신동향분석
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    • 제35권7호
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    • pp.67-76
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    • 2020
  • Because of the development and spread of artificial intelligence (AI) technology, new security threats and adverse AI functions have emerged as a real problem in the process of diversifying areas of use and introducing AI-based products and services to users. In response, it is necessary to develop new AI-based technologies in the field of information protection and security. This paper reviews topics such as domestic and international trends on false information detection technology, cyber security technology, and trust distribution platform technology, and it establishes the direction of the promotion of technology development. In addition, the development of international trends in ethical AI guidelines to ensure the human-centered ethical validity of AI development processes and final systems in parallel with technology development are analyzed and discussed. ETRI has developed AI policing technology, information protection, and security technologies as well as derived tasks and implementation strategies to prepare ethical AI development guidelines to ensure the reliability of AI based on its capabilities.

Deep Learning Research Trend Analysis using Text Mining

  • Lee, Jee Young
    • International Journal of Advanced Culture Technology
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    • 제7권4호
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    • pp.295-301
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    • 2019
  • Since the third artificial intelligence boom was triggered by deep learning, it has been 10 years. It is time to analyze and discuss the research trends of deep learning for the stable development of AI. In this regard, this study systematically analyzes the trends of research on deep learning over the past 10 years. We collected research literature on deep learning and performed LDA based topic modeling analysis. We analyzed trends by topic over 10 years. We have also identified differences among the major research countries, China, the United States, South Korea, and United Kingdom. The results of this study will provide insights into research direction on deep learning in the future, and provide implications for the stable development strategy of deep learning.