• Korean Journal of Childcare and Education
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• v.6 no.1
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• pp.95-114
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• 2010

The purpose of this study is explores the trend in Science of early childhood education. The subjects of analysis were the articles in the six journals registered with the Korean Research Foundation. The articles were analyzed by research type, data collection method, data analyzing method, research sample and research subject. As results of this study, the greatest number of research type was the quantitative research, the most frequently used data analyzing method was t-test(difference verification), samples were generally children and the largest number of study subjects were child development.

• Annual Conference of KIPS
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• 2017.04a
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• pp.332-335
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• 2017

정보기술의 발달은 조직의 업무환경에 긍정적인 영향을 주는 동시에 다양한 정보보호 위협에 따른 사고 발생 등 부정적인 영향을 미친다. 조직에서는 보안사고 예방을 위하여 다양한 노력들을 경주하고 있지만 기술적 보안 솔루션에 의존하는 경향이 있으며, 그럼에도 불구하고 보안 사고를 완벽히 예방하는 것은 불가능하다. 최근 기존의 정보보호 접근방법의 한계를 극복하기 위한 새로운 접근방법인 인간 중심 보안(People Centric Security)에 대한 관심이 증가하고 있으며, 임직원의 자발적인 정보보호 정책준수에 대한 연구의 필요성이 제기되고 있다. 본 연구는 향후 인간 관점의 정보보호 연구의 발전을 위해 기존의 수행된 연구들을 분석하여 통합된 관점에서 연구방향을 제시하는 연구동향 분석 연구로서, 해외 4개의 저널에서 수집한 134개의 논문을 대상으로 연구 추세, 연구 주제, 연구 방법론 등을 분석하였다. 본 연구의 결과는 국내의 인간 관점에서의 정보보호 관련 연구 활성화에 기여할 수 있을 것이라 판단되며, 조직에서 임직원의 정책준수에 영향을 주는 요인들을 참고하여 정보보호 정책 수립 시 활용할 수 있을 것이다.

• Journal of Intelligence and Information Systems
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• v.25 no.3
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• pp.63-88
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• 2019

The goal of this paper is to investigate changes in North Korea's domestic and foreign policies through automated text analysis over North Korea represented in South Korean mass media. Based on that data, we then analyze the status of text mining research, using a text mining technique to find the topics, methods, and trends of text mining research. We also investigate the characteristics and method of analysis of the text mining techniques, confirmed by analysis of the data. In this study, R program was used to apply the text mining technique. R program is free software for statistical computing and graphics. Also, Text mining methods allow to highlight the most frequently used keywords in a paragraph of texts. One can create a word cloud, also referred as text cloud or tag cloud. This study proposes a procedure to find meaningful tendencies based on a combination of word cloud, and co-occurrence networks. This study aims to more objectively explore the images of North Korea represented in South Korean newspapers by quantitatively reviewing the patterns of language use related to North Korea from 2016. 11. 1 to 2019. 5. 23 newspaper big data. In this study, we divided into three periods considering recent inter - Korean relations. Before January 1, 2018, it was set as a Before Phase of Peace Building. From January 1, 2018 to February 24, 2019, we have set up a Peace Building Phase. The New Year's message of Kim Jong-un and the Olympics of Pyeong Chang formed an atmosphere of peace on the Korean peninsula. After the Hanoi Pease summit, the third period was the silence of the relationship between North Korea and the United States. Therefore, it was called Depression Phase of Peace Building. This study analyzes news articles related to North Korea of the Korea Press Foundation database(www.bigkinds.or.kr) through text mining, to investigate characteristics of the Kim Jong-un regime's South Korea policy and unification discourse. The main results of this study show that trends in the North Korean national policy agenda can be discovered based on clustering and visualization algorithms. In particular, it examines the changes in the international circumstances, domestic conflicts, the living conditions of North Korea, the South's Aid project for the North, the conflicts of the two Koreas, North Korean nuclear issue, and the North Korean refugee problem through the co-occurrence word analysis. It also offers an analysis of South Korean mentality toward North Korea in terms of the semantic prosody. In the Before Phase of Peace Building, the results of the analysis showed the order of 'Missiles', 'North Korea Nuclear', 'Diplomacy', 'Unification', and ' South-North Korean'. The results of Peace Building Phase are extracted the order of 'Panmunjom', 'Unification', 'North Korea Nuclear', 'Diplomacy', and 'Military'. The results of Depression Phase of Peace Building derived the order of 'North Korea Nuclear', 'North and South Korea', 'Missile', 'State Department', and 'International'. There are 16 words adopted in all three periods. The order is as follows: 'missile', 'North Korea Nuclear', 'Diplomacy', 'Unification', 'North and South Korea', 'Military', 'Kaesong Industrial Complex', 'Defense', 'Sanctions', 'Denuclearization', 'Peace', 'Exchange and Cooperation', and 'South Korea'. We expect that the results of this study will contribute to analyze the trends of news content of North Korea associated with North Korea's provocations. And future research on North Korean trends will be conducted based on the results of this study. We will continue to study the model development for North Korea risk measurement that can anticipate and respond to North Korea's behavior in advance. We expect that the text mining analysis method and the scientific data analysis technique will be applied to North Korea and unification research field. Through these academic studies, I hope to see a lot of studies that make important contributions to the nation.

• Proceedings of the Technology Innovation Conference
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• 2009.02a
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• pp.259-274
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• 2009

연구개발에 종사하는 연구자나 연구기획자들은 미래에 어떤 기술 또는 연구 분야가 각광을 받을지 파악하기 위해 정보를 수집하거나 분석한다. 그러나 방대한 정보 중에서도 정말 필요한 정보를 단시간내에 효과적으로 수집하기는 쉽지 않다. 기술기획이나 연구기획의 경우 현재의 연구동향이나 현황을 빠른 시간안에 정확히 파악하는 것이 주된 관심사이며, 이것을 지원해 줄 수 있는 연구방법론 중 하나가 계량서지학이다. 본 연구는 계량서지적 분석결과를 효과적으로 이해할 수 있도록 시각화 기법을 이용한 정보분석 방법론을 다룬다. 발표동향 분석, 공동연구네트워크분석, 수준지수분석, 특허인용네트워크를 통한 인용트리분석 등을 이용하여 전자종이(e-Paper)기술분야에 대해 분석하였다. 본 연구는 정보분석에 있어 비전문가라도 신속하게 정보분석 결과를 획득할 수 있도록 KISTI에서 개발한 정보분석시스템인 KnowledgeMatrix S/W와 이를 응용한 S/W를 활용한 방법론을 제시한다. 본 연구에서 사용한 방법론들은 실제로 연구사업에 활용하고 있거나 활용가능성이 매우 높은 방법론을 이용하였기 때문에 향후에도 널리 활용될 수 있을 것으로 판단한다.

• Convergence Security Journal
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• v.17 no.2
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• pp.23-32
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• 2017

With the development of information and communication technology, various data including digital data have increased exponentially. In a society where such data utilization is generalized, criminal investigation processes and trial processes have also been influenced. However, in comparison with the progress of the technical capability and analytical capability of digital certification which is increasing exponentially, the establishment of the digital forensic related legal system is still in short supply. Therefore, it is necessary to activate balanced research for legal recognition of digital certification. Therefore, in this research, meta analysis was conducted to grasp trends of research related to digital forensics and to provide objective data for research revitalization.

• Journal of Convergence for Information Technology
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• v.11 no.10
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• pp.159-170
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• 2021

The purpose of this study was to understand the knowledge structure through keyword network analysis for the purpose of identifying research trends in the research field of multicultural education. To this end, the research trends and intellectual structure of multicultural education were identified through network analysis of words that appeared more than 6 times in the keywords of the papers registered in the KCI (Korean Journal of Citation Index) from 2002 to 2020. Study changes were analyzed by analysis. As a result of the analysis, the first period (2002-2010) focused on multicultural society and multiculturalism, while the second period (2011-2015) additionally introduced multicultural families, globalization, and teacher education, and the third period (2016-2020), multicultural receptivity, multicultural sensitivity, and multicultural efficacy were newly revealed. The research trend of multicultural education in Korean society over the past 19 years has been confirmed that the research topic has changed from theoretical research to empirical research, and the content of multicultural education has also been specified and expanded by field and subject.

• Journal of The Korean Association For Science Education
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• v.32 no.2
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• pp.265-278
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• 2012

The purpose of this study is to investigate research trends about convergence and integrated science education through the analysis of theses published from January, 2000 to June, 2011 in the scientific journals. For the analysis of the theses, we set standards of analysis including the number of theses, integrated types, research methods, the designs of study and the objects of study. The number of theses used for the analysis were 110 volumes and these were limited to the Journal of KASE (The Korean Association for Science Education) and Journal of KESES (The Korean Society of Elementary Science Education). The results of the study are as follows. First, in the analysis of theses according to the published year, we discovered that the volumes of theses related to convergence and integrated science education were only about 10% of theses published in the journals. Second, the theses about STS education and integration type were the most common type in the integrated types, and the next things were integration type with other scientific fields, and integration type with other subjects. Third, 50% of theses have focused on the 'analysis of effect' as research methods and 45.5% of the theses have used 'quantitative research' as the designs of study. Fourth, the most common study in the theses was to target elementary school students, then it was middle school students, then high school students, literature, teachers, would-be teachers, and the general public. On the basis of the results of this research, we suggest that various studies can develop student's creativity and teacher's recognition through STEAM education and must be presented for the successful STEAM education.

• Proceedings of the Korea Technology Innovation Society Conference
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• 2017.11a
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• pp.459-468
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• 2017

본 논문에서는 자율주행자동차와 관련한 주제어를 선정하여 KCI 등재 논문의 서론 자료를 수집하고, 이에 빅데이터 분석 기법을 적용하였다. 이를 토대로 자율주행자동차와 관련된 다양한 이슈 분석을 통해 자율주행자동차의 연구 동향을 파악할 수 있으며, 추가적인 연구가 필요한 분야에 대해 알 수 있다. 제4차 산업혁명의 영향으로 등장한 다양한 기술들의 활용이라고 볼 수 있는 자율주행자동차는 2025년 상용화 될 가능성이 높다. 자율주행자동차의 상용화를 위해 지속적인 연구와 논의가 필요하지만, 과거부터 등재된 자율주행자동차 관련 KCI 논문 빅데이터 분석을 통해 기술들 간의 군집 방식과 주제어의 밀집도, 네트워킹 형성 방식 등에 대해 파악할 수 있다. 이처럼 논문 데이터 분석을 통해 향후 정부출연(연), 혹은 기업체에서 더욱 발전시켜야 할 부분에 대해 인지하고 정부 차원의 과제 지원과 연구를 통해 자율 주행자동차 상용화를 촉진시킬 수 있을 것이라고 예상한다.

• Journal of Science Education
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• v.40 no.3
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• pp.267-286
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• 2016

The study aimed to investigate a research trend in science gifted education of six years from 2010 to 2015 by utilizing literature analysis and Social Network Analysis (SNA) methods. In this study, 275 papers published in eight major academic journals of science education and gifted education were selected as research subjects. First, through the literature analysis, it was found that the most frequent research topics were cognitive characteristics (25.8%), curriculum/programs (22.6%), and social and emotional characteristics (20.2%). For the research method employed in research papers, the survey research (46.5%) was appeared as the most frequently employed method, and followed by experimental (18.8%), program development (10.6%), correlation (10.3%), and qualitative (6.4%) research methods. The most frequent research subject was appeared as middle school students (33.7%) and followed by elementary school (30.6%), and high school (12.7%) students. Second, the SNA method was utilized for producing keyword frequency, degree centrality and network analyses. It was appeared that the most common keywords over six years included 'science gifted', 'gifted education', and 'creativity' and frequent keywords were science gifted, gifted education, gifted, creativity, science inquiry, perception, (creative) problem solving, science high school, scientific attitude, and STEAM. Third, through 2-mode network analysis, it was found that the research papers about cognitive characteristics were mainly related to perceptions, thinking ability, scientific argumentation, science inquiry and so on. It was also found that the research papers about social and emotional characteristics were related to correlation, motivation, creativity-character, self-efficiency and so on. It was concluded that the SNA method can be performed with literature analysis together for better understandings and interpretations of the research trend of science gifted education in-depth.

• Journal of Digital Contents Society
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• v.19 no.5
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• pp.981-993
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• 2018

Smart healthcare is convergence of ICT and healthcare services, and interdisciplinary research has been actively conducted in various fields. The objective of this study is to investigate trends of smart healthcare research using topic modeling and ego network analysis. Text analysis, frequency analysis, topic modeling, word cloud, and ego network analysis were conducted for the abstracts of 2,690 articles in Scopus from 2001 to April 2018. Topic Modeling analysis resulted in eight topics, Topics included "AI in healthcare", "Smart hospital", "Healthcare platform", "Blockchain in healthcare", "Smart health data", "Mobile healthcare", " Wellness care", "Cognitive healthcare". In order to examine the topic modeling results core deeply, we analyzed word cloud and ego network analysis for eight topics. This study aims to identify trends in smart healthcare research and suggest implications for establishing future research direction.