신산업 분야 혁신과 규제 갈등 이슈에 대한 분석 방안 연구

송혜림,이주연,정명석,Hye Lim Song,Joo Yeoun Lee,Myoung Sug Jung 한국시스템엔지니어링학회 2023 시스템엔지니어링학술지 Vol.19 No.2

Emerging Industries often do not match the structures and contents of existing regulations, and regulations that impose excessive burdens compared to the regulatory purpose are continuously created. These results, the emerging industries struggle to growth. In order to respond to these regulatory problems, the regulatory management policies are establishing in each country, and research on the reasonable regulatory methods and its effects on industry has continued. But companies still complain of difficulties in business due to regulations. In the background, it is analyzed that there are limitations in response to regulatory issues of the emerging industry, such as the lack of standards and expertise that can be judged as 'problems', and delay in recognizing and improving the problems of the competent ministries, over-interpretation of the risks of new technologies, and vague concerns about accidents etc., the regulation corresponding limitations is existed. In this regard, this study seeks to lay the groundwork for analysis of the major regulatory conflict issues and the reasonable countermeasures by identifying the regulatory conflict issues arising from the emergence of the innovative technologies and services, and analyzing studies to resolve them.

아동이 지각하는 어머니의 양육태도가 학교생활적응에 미치는 영향

조연희(Yeoun-hee Jo),이주연(Joo-Yeon Lee) 가정과삶의질학회 2015 가정과삶의질연구 Vol.33 No.1

모바일 헬스 서비스 사용자 특성 분석 및 이탈 예측 모델 개발

한정현,이주연,Han, Jeong Hyeon,Lee, Joo Yeoun 한국시스템엔지니어링학회 2021 시스템엔지니어링학술지 Vol.17 No.2

As the average life expectancy is rising, the population is aging and the number of chronic diseases is increasing. This has increased the importance of healthy life and health management, and interest in mobile health services is on the rise thanks to the development of ICT(Information and communication technologies) and the smartphone use expansion. In order to meet these interests, many mobile services related to daily health are being launched in the market. Therefore, in this study, the characteristics of users who actually use mobile health services were analyzed and a predictive model applied with machine learning modeling was developed. As a result of the study, we developed a prediction model to which the decision tree and ensemble methods were applied. And it was found that the mobile health service users' continued use can be induced by providing features that require frequent visit, suggesting achievable activity missions, and guiding the sensor connection for user's activity measurement.

Latent Dirichlet Allocation (LDA) 모델 기반의 인공지능(A.I.) 기술 관련 연구 활동 및 동향 분석

정명석(Chung Myoung Sug),이주연(Lee Joo Yeoun) 한국산업정보학회 2018 한국산업정보학회논문지 Vol.23 No.3

최근 인공지능(Artificial Intelligence; A.I.)의 기술 발전과 함께 이에 대한 관심이 증가하고 있으며 관련 시장도 비약적으로 확대되고 있다. 아직은 초기단계이지만 2000년 이후 현재까지 계속 확장되고 있는 인공지능 기술 분야의 연구방향과 투자 분야에 대한 불확실성을 줄이는 것이 중요한 시점이다. 이러한 기술 변화와 시대적 요구에 따라서 본 연구는 빅데이터(Big Data) 분석방법 중 텍스트 마이닝(Text Mining)과 토픽모델링(Topic Modeling)을 활용하여 기술동향을 살펴보고, 핵심기술과 성장 가능성이 있는 연구의 향후 방향성을 제시하였다. 본 연구의 결과로부터 인공지능의 기술동향에 대한 이해를 바탕으로 향후 연구 방향에 대한 새로운 시사점을 도출할 수 있으리라 기대한다. Recently, with the technological development of artificial intelligence, related market is expanding rapidly. In the artificial intelligence technology field, which is still in the early stage but still expanding, it is important to reduce uncertainty about research direction and investment field. Therefore, this study examined technology trends using text mining and topic modeling among big data analysis methods and suggested trends of core technology and future growth potential. We hope that the results of this study will provide researchers with an understanding of artificial intelligence technology trends and new implications for future research directions.

지하철 혼잡도 개선방안에 관한 빅데이터융합 기반의 탐색적 연구

김근원,김동우,노규성,이주연,Kim, KeunWon,Kim, DongWoo,Noh, Kyoo-Sung,Lee, Joo-Yeoun 한국디지털정책학회 2015 디지털융복합연구 Vol.13 No.2

빅데이터의 가치가 중요하게 인식되면서 정부를 비롯한 공공기관, 민간기업 등이 빅데이터에 관심을 가지기 시작하였다. 과거와는 다르게 다양한 데이터의 원천이 있고, 이러한 데이터의 융합을 기반으로 한 다양한 기획 및 분석기법이 등장하게 되면서, 빅데이터는 새로운 고급 정보의 창출 및 의사결정 고도화 기반으로 자리매김할 것이 확실하다. 본 연구는 다양한 대책에도 불구하고 개선되지 않는 지하철 혼잡도 문제에 대한 대안을 모색하는 것이다. 이에 본 연구는 서울시의 공공데이터를 활용하여 서울시 지하철의 혼잡도를 개선할 수 있는 방안에 대해 탐색적 접근을 시도하였다. 연구는 서울시 공공데이터 분석을 오픈 소스 R을 통해 이루어졌다. 분석 결과 혼잡도가 높은 지하철 역을 중심으로 운행하는 버스 노선을 신설하는 정책 대안을 도출하게 되었다. As the value of Bigdata has been recognized importantly, public agencies including the government, private sector, etc. began to have an interest in Big Data. As there are sources of various data, and a variety of planning and analysis methods based on these sources has emerged, It is true that Bigdata will become a tool for creation of the new high qualitied information and decision making based on new insights. The purpose of this study is to find an alternative to the subway congestion problem that is not improved even though the various measures. In this study, we tried to explore approaches for ways to improve the congestion of the Seoul Subway using Seoul Metropolitan public data. Lastly, this study derived a policy alternative to establish new bus route that runs around the metro station that have a high level of congestion.

통합 기능형 HMI 표준 모델 개발

홍상현 ( Sang Hyun Hong ),이주연 ( Joo Yeoun Lee ),왕지남 ( Gu Nam Wang ) 대한설비관리학회 2014 대한설비관리학회지 Vol.19 No.3

Human-Machine Interface (HMI) presents information of various equipments, products, and resources in a PLC controlled manufacturing process. Considerable times and efforts are required in order to build useful and meaningful HMI. In this paper we study an integrated functional HMI standard model in order to reduce times and efforts required to build an HMI system. The proposed HMI standard model can be applied for PLC controlled manufacturing system in order to monitor manufacturing process and also to control it efficiently and effectively. The standard model is based on systematic symbol name structure of manufacturing devices which is highly related PLC logics and hardware address. This strong relationship make it possible to map PLC address to user interface automatically as well as to represent useful information such as mal-functioning reasons and a significant manufacturing behaviors. Real implementation is given to verify how the proposed approach can reduce time and effort and also how it could be utilized to general cases.

전자정부(e-Gov)의 비판적 성찰

한세억(Han Saee-Ok),이주연(Lee Joo-Yeoun) 한국상품학회 2003 商品學硏究 Vol.- No.29

Influenced by the rapid development of information technology(IT), informatization has been fast advancing in the world. Informatization not only accelerates structural changes ranging from society to public administration as a whole, but also has significant impacts upon government activities as well as civil servants. Initiated by the governments, the major countries in the world have already made efforts to prepare for the plans to meet change of the informatization. The administration which had played the driving role of national informatization in Korea has been no doubt changing in the 1990s. But compared with that in the arguement and research, it is also true that its influence has not been practical This study explored the critical review on current status and prospects of Electronics Government and suggested implication for the purpose of realizing the Electronics Government. In order to implement the functions and roles in more fiercely forthcoming competition, the administration's effort should be made from the beginning for solving various problems which newly arises in the course a of Electronics Government

BSC 모델에 기초한 CRM 수준 평가 모형 개발에 관한 연구

이규태(Kyoo Tai Lee),이주연(Joo Yeoun Lee) 한국SCM학회 2003 한국SCM학회지 Vol.3 No.1

빅데이터 융합분석을 통한 아동학대 감소방안에 관한 탐색적 연구

황준수,임종윤,권순영,노규성,이주연,Hwang, Jun-Soo,Lim, Jong-Yun,Gwon, Sun-young,Noh, Kyoo-Sung,Lee, Joo-Yeoun 한국디지털정책학회 2016 디지털융복합연구 Vol.14 No.10

최근 인천의 어린이집 사건, 원영이 사건 등 아동학대 문제가 사회적으로 큰 이슈가 되고 있다. 그러나 아동학대 문제는 어제 오늘의 일이 아니며, 국내만의 문제도 아니다. 국가 통계 데이터 포털에 의하면, 19세 이하의 인구는 줄어드는 추세이지만 아동학대 신고건수는 날이 갈수록 증가하고 있다. 그러나 신고 이후의 상담건수는 큰 변동 없이 일정한 수준이다. 아동학대 문제의 심각성으로 인해 관련 연구와 대책에도 불구하고 더 악화되고 있는 것이다. 이에 본 연구는 아동학대에 관한 선행연구를 바탕으로 아동학대에 관한 연구모형을 설계하고 빅데이터 분석을 통해 아동학대 감소방안을 제안하였다. 가설 검정 결과 학대 행위자의 특성, 아동 특성이 아동학대의 영향, 근로형태가 아동학대에 유의미한 영향을 끼친 것으로 분석되었다. 이와 같은 분석 결과를 토대로 본 연구는 교육 및 경제적 지원 대책 등 아동학대 감소방안을 결론으로 제시하였다. Recently the problem of child abuses has become a big social issue. According to national statistics data portal, the population under 19 years old is shrinking trend, but the number of child abuse is increasing day ever. However, the number of counseling after calling is a constant level without large fluctuations. Due to the seriousness of the problems, child abuse is even worse despite the research and countermeasures. This study designed a study model on the child abuse based on a preliminary study and suggested plans for reducing child abuse through the big data analytics. When we see a result of test of the hypothesis, abuse actor characteristics, characteristics of children, and employment type were analyzed to have a significant impact on child abuse. Based on such analysis, this research has suggested ways to reduce child abuse, including educational and economic support measures.

토픽모델링 분석 기법을 활용한 국내외 금융보안 분야 연구동향 분석

채호근(Ho-Geun Chae),이기현(Gi-Hyun Lee),이주연(Joo-Yeoun Lee) 한국산업정보학회 2021 한국산업정보학회논문지 Vol.26 No.1

본 연구에서는 금융보안 분야의 핵심 연구분야를 도출하고, 방향성을 제시하기 위하여 토픽모델링을 통해 국내외 주요 연구 동향 비교분석을 수행하였다. 이를 위해, 학술저널에서 국내외 논문 데이터를 수집하였으며 LDA 분석을 통해 금융보안 관련 주요 연구분야를 1차 추출하였다. 이후 주요 연구분야의 시계열 선형회귀 분석을 통해 Hot & Cold 토픽을 도출하였다. 분석결과 국내의 경우 유망연구 분야로는 정부의 정책적 이슈와 개인정보 및 공인인증 관련 연구가 도출되었으며, 국외의 경우 암호 프로토콜과 양자보안 등 고도의 보안 시스템 개발을 위한 관련 연구가 도출되었다. 최근 국내에서도 공인인증 폐지함에 따라 다양한 보안기술의 적용이 가능해지고, 이를 위한 유망연구 분야의 변화가 예상된다. 이에 본 연구의 결과물이 국내 금융보안 분야의 성공적 로드맵 수립 및 개발에 기여될 수 있기를 기대한다. In this study, major research trends at home and abroad were compared and analyzed in order to derive key research fields in the financial security field and to suggest directions. To this end, 689 domestic and 20,736 foreign data were collected from domestic and international academic journal DB, and major research fields related to financial security were extracted through LDA analysis. After that, hot & cold topics were derived through time series linear regression analysis. As a result of the analysis, studies related to government policy issues, personal information, and accredited certification were derived as promising research fields in Korea. In the case of foreign countries, related studies were drawn to develop advanced security systems such as cryptographic protocols and quantum security. Recently, it has become possible to apply various security technologies in Korea through the abolition of public certification. Accordingly, as changes in promising research fields are expected, the results of this study are expected to contribute to the establishment and development of a successful roadmap for domestic financial security.