• Title/Summary/Keyword: keywords of technology strategy

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Research Trends of Middle-aged Women' Health in Korea Using Topic Modeling and Text Network Analysis (텍스트네트워크분석과 토픽모델링을 활용한 국내 중년여성 건강 관련 연구 동향 분석)

  • Lee, Do-Young;Noh, Gie-Ok
    • The Journal of the Convergence on Culture Technology
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    • v.8 no.4
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    • pp.163-171
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    • 2022
  • This study was conducted to understand the research trends and central concepts of middle-aged women' health in Korea. For the analysis of this study, target papers published from 2012 to 2021 were collected by entering the keywords of 'middle-aged woman' or 'menopausal woman'. 1,116 papers were used for analysis. The co-occurrence network of key words was developed and analyzed, and the research trends were analyzed through topic modeling of the LSD by dividing it into five-year units (2012-2016, 2017-2021), and visualized word cloud and sociogram were used. The keywords that appeared the most during the last 10 years were obesity, depression, body composition, stress, and menopause symptom. Five topics analyzed in the thesis data for 5 years from 2012 to 2016 were 'postmenopausal self-efficacy and satisfaction enhancement strategy', 'exercise to manage obesity and risk factors', 'intervention for obesity and stress', 'promotion of happiness and life management' and 'menopausal depression and quality of life' were confirmed. Five topics of research conducted for the next five years (2017-2021) were 'menopausal depression and quality of life', 'management of obesity and cardiovascular risk factors', 'life experience as a middle-aged woman', and 'life satisfaction and psychological well-being' and 'menopausal symptom relief strategy'. Through the results, the trend of research topics related to middle-aged women's health over the past 10 years have been identified, and research on health of middle-aged women that reflects the trend of the future should be continued.

A Study on a Way to Utilize Big Data Analytics in the Defense Area (국방분야 빅데이터 분석의 활용가능성에 대한 고찰)

  • Kim, Seong-Woo;Kim, Gak-Gyu;Yoon, Bong-Kyu
    • Journal of the Korean Operations Research and Management Science Society
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    • v.39 no.2
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    • pp.1-19
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    • 2014
  • Recently, one of the core keywords in information technology (IT) as well as areas such as business management is big data. Big data is a term that includes technology, personnel, and organization required to gather/manage/analyze collection of data sets so large and complex that it becomes difficult to manage and analyze using traditional tools. The military has been accumulating data for a long period due to the organization's characteristic in placing emphasis on reporting and records. Considering such characteristic of the military, this study verifies the possibility of improving the performance of the military organization through use of big data and furthermore, create scientific development of operation, strategy, and support environment. For this purpose, the study organizes general status and case studies related to big data, traces back examples of data utilization by Korean's national defense sector through US military data collection and case studies, and proposes the possibility of using and applying big data in the national defense sector.

A Study on Establishment of Convergence Education School for the Gifted (융합형 영재교육기관 설립에 관한 연구)

  • Lee, Jae-Ho
    • Journal of The Korean Association of Information Education
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    • v.15 no.3
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    • pp.459-467
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    • 2011
  • In these days it can be said that knowledge based society has been passed through and creative society is approaching, and the important keywords to the coming creative society should be the knowledge, the creativity, and the convergence. In order to make preemptive responses to this 21 century's new creative society, cultivation of gifted students with integrated prototype is also an imperative reason to prepare. With this historical background Korean Ministry of Education, Science, and Technology announced "a general plan on invigoration of elementary and middle school level art education for cultivation of creativeness and humanity" containing the acting curriculums of science and art integrated on June 2010, and also announced "the second general plan for support on development of science and technology professionals" including STEAM education for elementary and middle school level at January 2011. In this paper we developed a strategy appliable to establish an education institution for gifted students specialized on promoting the students to the convergence type gifted students. For the purpose, we derived the necessity for convergence education for the gifted and the implication points through analysis on the examples, and developed a strategy to establish an education institution for gifted students.

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Nano Technology Trend Analysis Using Google Trend and Data Mining Method for Nano-Informatics (나노 인포매틱스 기반 구축을 위한 구글 트렌드와 데이터 마이닝 기법을 활용한 나노 기술 트렌드 분석)

  • Shin, Minsoo;Park, Min-Gyu;Bae, Seong-Hun
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.40 no.4
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    • pp.237-245
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    • 2017
  • Our research is aimed at predicting recent trend and leading technology for the future and providing optimal Nano technology trend information by analyzing Nano technology trend. Under recent global market situation, Users' needs and the technology to meet these needs are changing in real time. At this point, Nano technology also needs measures to reduce cost and enhance efficiency in order not to fall behind the times. Therefore, research like trend analysis which uses search data to satisfy both aspects is required. This research consists of four steps. We collect data and select keywords in step 1, detect trends based on frequency and create visualization in step 2, and perform analysis using data mining in step 3. This research can be used to look for changes of trend from three perspectives. This research conducted analysis on changes of trend in terms of major classification, Nano technology of 30's, and key words which consist of relevant Nano technology. Second, it is possible to provide real-time information. Trend analysis using search data can provide information depending on the continuously changing market situation due to the real-time information which search data includes. Third, through comparative analysis it is possible to establish a useful corporate policy and strategy by apprehending the trend of the United States which has relatively advanced Nano technology. Therefore, trend analysis using search data like this research can suggest proper direction of policy which respond to market change in a real time, can be used as reference material, and can help reduce cost.

Digital Technology and Fashion Features in the Contents of Korean Virtual Idol Groups (한국 가상 아이돌 그룹의 콘텐츠에 나타난 디지털 기술 및 패션의 특징)

  • JIAYI XUE;Seunghee Suh
    • Journal of Fashion Business
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    • v.27 no.1
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    • pp.110-125
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    • 2023
  • Virtual idol groups are a product of changes in cultural content and development of digital technology. The purpose of this study is to derive the characteristics of technical expression and fashion of virtual idol groups of Korean entertainment companies, and the significance of this study is to provide basic data for creating a new content business model for virtual idol groups. The research method of this study consisted of literature research and case analysis. Korean virtual idol groups 'K/DA', 'Aespa', and 'Eternity', which show the evolved business model of the entertainment industry through rapid advances in digital technology, were selected as the subject of case analysis for this study, and newspaper articles were searched by keywords and analyzed. As a result of the study, the technical expressions shown in Korean virtual idol groups were 'implementation of realistic content through interaction technology', 'delicate motion expression through motion capture technology', and 'convergence of information between the real world and virtual world through AR technology', 'provision of experience similar to reality by VR technology' and 'formation of cultural contents by Deep Real technology' were deriven. In addition, the characteristics of the Korean virtual guide idol group's fashion are 'marketing strategy through collaboration with fashion items', 'giving recognition as a digital fashion icon of real existence', 'creating a sensuous image as a fashion brand ambassador' and 'fashion style expression of the Z generation's sensibility'.

Analysis of experimental studies on Insamyangyoung-tang (인삼양영탕을 이용한 실험연구 분석)

  • Choi, Song Ie;Kim, Yun Hee;Lee, Hye Won
    • Journal of Society of Preventive Korean Medicine
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    • v.19 no.2
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    • pp.145-157
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    • 2015
  • Objective : This study aimed to analyze a comprehensive feature of experimental research on Insamyangyoungtang and develop a strategy that can be used for experimental studies on Insamyangyoung-tang in the future. Method : The journal search was performed using six databases : PubMed, Chinese database (China Network Knowledge Infrastructure, [CNKI]), Japan database (Japan Science and Technology Information Aggregator, Electronic, [J-STAGE]) and three Korean databases (Oriental Medicine Advanced Searching Integrated System [OASIS], Research Information Service System [RISS], and Korean Studies Information Service System [KISS]). We used limited keywords and analyzed studies by publication year, experimental models, and the subjects of biological activities. The mechanism of pharmacological activity in accordance with the therapeutic effects of Insamyangyoung-tang was noted. Results and Conclusion : A total of 43 studies (6 domestic studies and 37 foreign ones) were examined according to the inclusion criteria of the experimental study. Research on the pharmacological activities of Insamyangyoung-tang showed its therapeutic effects on the nervous and immune systems, as well as its anti-aging, anti-fatigue, and hematopoietic effects. Additional efficacy and safety assessments and experimental and clinical studies should be performed to evaluate the mechanism of Insamyangyoung-tang. The present review has provided preliminary information for further studies on Insamyangyoung-tang.

Personalized Book Curation System based on Integrated Mining of Book Details and Body Texts (도서 정보 및 본문 텍스트 통합 마이닝 기반 사용자 맞춤형 도서 큐레이션 시스템)

  • Ahn, Hee-Jeong;Kim, Kee-Won;Kim, Seung-Hoon
    • Journal of Information Technology Applications and Management
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    • v.24 no.1
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    • pp.33-43
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    • 2017
  • The content curation service through big data analysis is receiving great attention in various content fields, such as film, game, music, and book. This service recommends personalized contents to the corresponding user based on user's preferences. The existing book curation systems recommended books to users by using bibliographic citation, user profile or user log data. However, these systems are difficult to recommend books related to character names or spatio-temporal information in text contents. Therefore, in this paper, we suggest a personalized book curation system based on integrated mining of a book. The proposed system consists of mining system, recommendation system, and visualization system. The mining system analyzes book text, user information or profile, and SNS data. The recommendation system recommends personalized books for users based on the analysed data in the mining system. This system can recommend related books using based on book keywords even if there is no user information like new customer. The visualization system visualizes book bibliographic information, mining data such as keyword, characters, character relations, and book recommendation results. In addition, this paper also includes the design and implementation of the proposed mining and recommendation module in the system. The proposed system is expected to broaden users' selection of books and encourage balanced consumption of book contents.

Exploring the Key Technologies on Next Production Innovation (4차 산업혁명 차세대 생산혁신 기술 탐색: 키워드 네트워크를 중심으로)

  • Lee, Suchul;Ko, Mihyun
    • Journal of the Korea Convergence Society
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    • v.9 no.9
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    • pp.199-207
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    • 2018
  • This study aims to analyze Next Production Revolution (NPR) technologies through evidence-based keyword network in order to cope with the change of production paradigm called the Fourth Industrial Revolution (4IR). For the analysis, a total of 441 papers related to NPR or 4IR were extracted and the NPR technology network was constructed based on the simultaneous appearance relationship of the author keywords of these papers. Based on the NPR technology network, we explored key technologies through analysis of centrality and keyword group. As a result, technologies such as 'digital twin' and 'modeling and simulation', discovering insights by connecting the virtual and physical world in real time and reflecting them into design and process, are analyzed as key technologies.

How Does the Media Deal with Artificial Intelligence?: Analyzing Articles in Korea and the US through Big Data Analysis (언론은 인공지능(AI)을 어떻게 다루는가?: 뉴스 빅데이터를 통한 한국과 미국의 보도 경향 분석)

  • Park, Jong Hwa;Kim, Min Sung;Kim, Jung Hwan
    • The Journal of Information Systems
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    • v.31 no.1
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    • pp.175-195
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    • 2022
  • Purpose The purpose of this study is to examine news articles and analyze trends and key agendas related to artificial intelligence(AI). In particular, this study tried to compare the reporting behaviors of Korea and the United States, which is considered to be a leader in the field of AI. Design/methodology/approach This study analyzed news articles using a big data method. Specifically, main agendas of the two countries were derived and compared through the keyword frequency analysis, topic modeling, and language network analysis. Findings As a result of the keyword analysis, the introduction of AI and related services were reported importantly in Korea. In the US, the war of hegemony led by giant IT companies were widely covered in the media. The main topics in Korean media were 'Strategy in the 4th Industrial Revolution Era', 'Building a Digital Platform', 'Cultivating Future human resources', 'Building AI applications', 'Introduction of Chatbot Services', 'Launching AI Speaker', and 'Alphago Match'. The main topics of US media coverage were 'The Bright and Dark Sides of Future Technology', 'The War of Technology Hegemony', 'The Future of Mobility', 'AI and Daily Life', 'Social Media and Fake News', and 'The Emergence of Robots and the Future of Jobs'. The keywords with high centrality in Korea were 'release', 'service', 'base', 'robot', 'era', and 'Baduk or Go'. In the US, they were 'Google', 'Amazon', 'Facebook', 'China', 'Car', and 'Robot'.

A Strategy for the Improvement of Health Care Inequality in the Southwestern region of Korea - Around the island area (서남권 의료불평등 개선을 위한 방안 -도서 지역을 중심으로-)

  • Moon, Ji Hyun
    • The Journal of the Convergence on Culture Technology
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    • v.8 no.3
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    • pp.385-392
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    • 2022
  • The purpose of this study was to identify the degree of medical inequality in medical vulnerable areas, especially in the southwestern islands, and to prepare improvements. As a research method, 14 pieces were analyzed by systematic literature review with keywords such as 'medical vulnerability', 'medical inequality', and 'island area', and a focus group or in-depth interview (FGI) was conducted on 9 medical personnel in the public medical delivery system to identify the current status and demand. As a result of the study, medical inequality in the southwest region, especially in island areas, was confirmed, and the lack of professional manpower and administrative support system were confirmed through FGI. As a result of the study, it was confirmed that realistic measures should be prepared to increase the efficiency of public health care as well as active administrative support to improve the vulnerability of island areas.