• 한국인공지능학회지
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• 제10권2호
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• pp.13-18
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• 2022

The role of artificial medical intelligence through medical big data has been focused on data-based medical device business and medical service technology development in the field of diagnostic examination of the patient's current condition, clinical decision support, and patient monitoring and management. Recently, with the 4th Industrial Revolution, the medical field changed the medical treatment paradigm from the method of treatment based on the knowledge and experience of doctors in the past to the form of receiving the help of high-precision medical intelligence based on medical data. In addition, due to the spread of non-face-to-face treatment due to the COVID-19 pandemic, it is expected that the era of telemedicine, in which patients will be treated by doctors at home rather than hospitals, will soon come. It can be said that artificial medical intelligence plays a big role at the center of this paradigm shift in prevention-centered treatment rather than treatment. Based on big data, this paper analyzes the current status of artificial intelligence technology for chronic disease patients, market trends, and domestic and foreign company trends to predict the expected effect and future development direction of artificial intelligence technology for chronic disease patients. In addition, it is intended to present the necessity of developing digital therapeutics that can provide various medical services to chronically ill patients and serve as medical support to clinicians.

• 식품보건융합연구
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• 제10권1호
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• pp.1-6
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• 2024

Purpose: The research aims to address the intricacies of AI and Big Data application within the food industry. This study explores the strategic implementation of AI and Big Data in the food industry. The study seeks to understand how these technologies can be employed to bolster consumer engagement and contribute to market expansion, while considering ethical implications. Research Method: This research employs a comprehensive approach, analyzing current trends, case studies, and existing academic literature. It focuses on the application of AI and Big Data in areas such as supply chain management, consumer behavior analysis, and personalized marketing strategies. Results: The study finds that AI and Big Data significantly enhance market analytics, consumer personalization, and market trend prediction. It highlights the potential of these technologies in creating more efficient supply chains, improving consumer satisfaction through personalization, and providing valuable market insights. Conclusion and Implications: The paper offers actionable insights and recommendations for the effective implementation of AI and Big Data strategies in the food industry. It emphasizes the need for ethical considerations, particularly in data privacy and the transparency of AI algorithms. The study also explores future trends, suggesting that AI and Big Data will continue to revolutionize the industry, emphasizing sustainability, efficiency, and consumer-centric practices.

• 한국학교보건학회지
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• 제33권3호
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• pp.184-193
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• 2020

Purpose: This study was designed to investigate the trends in school health research in Korea using probabilistic latent semantic analysis. The study longitudinally analyzed the abstracts of the papers published in 「The Journal of the Korean Society of School Health」 over the recent 17 years, which is between 2004 and August 2020. By classifying all the papers according to the topics identified through the analysis, it was possible to see how the distribution of the topics has changed over years. Based on the results, implications for school health research and educational uses of latent semantic analysis were suggested. Methods: This study investigated the research trends by longitudinally analyzing journal abstracts using latent dirichlet allocation (LDA), a type of LSA. The abstracts in 「The Journal of the Korean Society of School Health」 published from 2004 to August 2020 were used for the analysis. Results: A total of 34 latent topics were identified by LDA. Six topics, which were「Adolescent depression and suicide prevention」, 「Students' knowledge, attitudes, & behaviors」, 「Effective self-esteem program through depression interventions」, 「Factors of students' stress」, 「Intervention program to prevent adolescent risky behaviors」, and 「Sex education curriculum, and teacher」were most frequently covered by the journal. Each of them was dealt with in at least 20 papers. The topics related to 「Intervention program to prevent adolescent risky behaviors」, 「Effective self-esteem program through depression interventions」, and 「Preventive vaccination and factors of effective vaccination」 appeared repeatedly over the most recent 5 years. Conclusion: This study introduced an AI-powered analysis method that enables data-centered objective text analysis without human intervention. Based on the results, implications for school health research were presented, and various uses of latent semantic analysis (LSA) in educational research were suggested.

• 디지털콘텐츠학회 논문지
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• 제18권6호
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• pp.1143-1150
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• 2017

본 연구의 목적은 국내에서 2002년부터 2016년까지 출판된, 대표적인 정보시스템분야 저널의 연구동향을 조사하는 것이다. 연구의 목적을 달성하기 위해서 Asia Pacific Journal of Information Systems, Information Systems Review, The Journal of Information Systems에 출판된 논문의 초록 1,245편을 분석 하였다. 본 연구에서는 최근 중요하게 다루어지는 토픽모델링과 시계열회귀분석 기법을 활용하였다. 토픽모델링 분석결과, 20개의 토픽이 도출되었고 "시스템구축", "혁신역량", 및 "고객충성도" 등의 순으로 확인되었다. 둘째, 시계열회귀분석 결과, 상승 추세를 나타내는 토픽으로는 "고객충성도", "소통혁신", "정보보호", 및 "개인정보보호" 가 나타났고, 하락 추세를 나타나는 토픽으로는 "시스템구축" 및 "웹사이트" 가 도출되었다.

• 한국실내디자인학회논문집
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• 제25권3호
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• pp.102-111
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• 2016

There are various form of public elements in modern urban space. These public elements mingle with sociocultural elements which consist of each city, determining urban environment's image. Especially, since the social value of design becomes important, the social role of public design has been emphasized as an effective value for public interest and environment. It is just about 10 years since design mind in the public sector has been made domestically. Even though domestic public design has been studied not so long, it has developed with radical change of social culture and science technology. This study targets public environment in modern dense urban space. Also, it grasps the trend of public design studies through analysing and documentary survey of the existing studies, and based on that result, aims at presenting the direction that domestic public design studies should progress. This study selected 253 theses(1989.6~2015.11) by collecting primary, secondary data about public design studies, and implemented overall meta-analysing about the trend of domestic public design studies. As a result, public design has been studied intensively in the field of design about environment, architecture, etc. The trend analyzing of study purpose and keyword has a tendency which is weighted towards exploratory study focused on suggestion and development about object and realm of public design. The trend analyzing of study area tends to study overall part of public space or public facility rather than specific area and object. The most parts of studies analyze domestic area, especially Seoul metropolitan area. Also, the study method weighted in favor of some qualitative analysis has been utilized.

• 의료ㆍ복지 건축 : 한국의료복지건축학회 논문집
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• 제27권3호
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• pp.7-16
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• 2021

Purpose: This study identified the planning trends for formal and informal learning spaces in the college of medicine through literature reviews. And then, by the analysis of the actual condition of existing domestic facilities, It was organized the architectural planning baseline data and future directions for the formal and informal learning spaces in the college of medicine. Methods: This study was conducted using literature reviews on the existing medical education method and learning space planning. Subsequently on-site surveys and questionnaires were conducted at existing facilities. Results: In the past, learning space of the college of medicine was considered only a formal learning space such lecture rooms, labs. But lately it has been turned into a total learning concept that embraces shared learning spaces such as libraries, student spaces, amenities and common spaces such as lobbies and hallways. ① Formal learning spaces are composed of teaching and practice areas. Since It is the basic functions that comprise the college of medicine, this paper conducted a functional analysis based on the current operating system of the College of Medicine and provided baseline data on architectural planning such as function, layout, zoning, and detailed planning. ② The informal learning sharing space was divided into a library area and a student well-being and convenience area to analyze the real conditions of domestic medical college. In addition, by comparing the trends and differences in foreign medical colleges identified by literature analysis, this paper summarizes the need to revitalize informal learning spaces and their integration into formal learning spaces, architectural planning considerations, etc. Implications: the evolution of the learning method and the flexibility of the learning space bring about changes in the learning space.

• 한국융합학회논문지
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• 제11권12호
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• pp.113-123
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• 2020

본 논문은 과거와 현재의 패션 트렌드와 패션 유행 주기에 관한 빅데이터 분석을 실시하였다. 패션 전문가나 패션쇼가 아닌 일반 사람들의 데일리룩을 위한 패션 트렌드를 분석하는데 집중하였다. 소셜 매트릭스 도구인 텍스톰을 활용하여 빈도수 분석, N-gram 분석, 네트워크 분석 및 구조적 등위성 분석을 수행하였다. 분석 결과, 첫째, 패션 전문가가 아닌 일반 사람들의 데일리 룩을 대상으로 과거(1980년대, 1990년대)와 현재(2019년, 2020년)의 패션 키워드를 도출하였다. 둘째, 과거의 패션이 현재의 패션으로 재현되는 순환성과 순환 주기가 30-40년 정도로 짧아졌음을 빅데이터 분석을 통해 과학적으로 검증하였다. 셋째, 도출된 패션 키워드들의 구조적 등위성 분석을 수행한 결과, 과거 패션에서는 청바지 패션, 레트로 코디, 애슬레저룩, 연예인 복고패션의 4개의 군집으로, 현재 패션에서는 레트로 청바지, 뉴트로, 레이디 쉬크, 레트로 퓨처리즘의 4개의 군집을 확인하였다. 넷째, 과거의 패션이 현재의 패션으로 재현되고 진화하는 네트워크 연결 관계를 확인하고 그 배경에 관한 이슈를 고찰하였다. 이와 같은 연구결과는 과거와 현재의 패션 키워드를 도출하고 이로부터 패션 유행의 순환 주기를 확인함으로써 과거를 통해 미래 패션을 예측하도록 하는데 의의가 있다.

• 영재교육연구
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• 제26권2호
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• pp.347-363
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• 2016

본 연구는 사회네트워크분석(Social Network Analysis: SNA)방법을 활용하여 최근 6년간(2010~2015년)의 국내 및 해외 영재교육의 연구동향을 분석하는 데 목적을 두었다. 연구대상은 영재교육 관련 국내 KCI등재지인 '영재교육연구'(한국영재학회)와 '영재와 영재교육'(한국영재교육학회)에 게재된 논문 457편과 해외 SSCI학술지 'The Gifted Child Quarterly,' 'Journal for the Education of the Gifted,' 'High Ability Studies'에 게재된 논문 347편으로 선정하였으며, 각 논문의 영문 키워드를 추출한 후 SNA방법으로 키워드 네트워크와 연결중심성 분석을 실시하였다. 연구결과, 국내외 공통적으로 academically gifted, science gifted, gifted를 중심으로 achievement, identification, intelligence의 키워드 빈도가 가장 높게 나타났다. 따라서 영재를 대상으로 성취, 판별, 지능에 관련된 연구들이 가장 많이 이루어진 것으로 나타났다. 이외에도 cognitive, motivation, self-concept이 공통적인 관심 주제로 나타났다. 한편 국내에서는 creativity, gifted education, gifted education teacher를, 해외에서는 foreign countries, student attitudes를 키워드로 한 연구가 주를 이루었다. 국내 영재교육 연구에서는 해외와 달리 외국사례, 학생태도, 성별차이 관련 키워드 빈도가 거의 나타나지 않았다. 결론적으로 국내 영재교육 연구는 보다 다양한 관점에서 연구가 이루어져야 하는 것으로 해석되었다.

• 전자통신동향분석
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• 제35권4호
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• pp.135-148
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• 2020

Virtualisation in cloud computing is vital for maintaining maximum resource utilization and easy access to operation and storage management of components. Platform virtualisation technology has the potential to be easily implemented with the support of scalability and security, which are the most important components for cloud-based services. Virtual resources must be allocated to a centralized pool called the cloud, and it is considered as cloud computing only when the virtual resources are orchestrated through management and automation software. Therefore, research and development on the latest technology for such a virtualisation platform provides both academia and industry the scope to deploy the fastest and most reliable technology in limited hardware resource. In this research, we reviewed and compared the popular current technologies for network and service management and automation technology.

• Asian Pacific Journal of Cancer Prevention
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• 제13권8호
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• pp.3893-3898
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• 2012

In previous studies we predicted future trends in cancer incidence for each prefecture in order to plan cancer control. Those predictions, however, did not take into account the characteristics of each prefecture. We therefore used the results of age-period-cohort analysis of incidence and mortality data of Osaka, and estimated the incidence and mortality of cancers at all sites and selected sites. The results reflect the characteristics of Osaka, which has and is expected to have large number of patients with liver cancer. We believe our results to be useful for planning and evaluating cancer control activities in Osaka. It would be worthwhile to base the estimation of cancer incidence and mortality in each prefecture on each population-based cancer registry.