• 융합경영연구
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• 제8권4호
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• pp.1-12
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• 2020

Purpose- The purpose of this study is to increase the effect of public technology transfer through government R&D support to secure the competitiveness of public technology startups. The government's R&D budget in 2019 is over 20 trillion won, and there is a legitimate need to increase the performance of technology startups through such R&D results. Research design, data, and methodology- In this paper, we comprehensively analyzed the current status of public research institutes and R&D support projects suitable for founders and analyzed and presented cases of follow-up research conducted by the Institute of Science and Technology Jobs to analyze actual performance cases of R&D support institutes. Results- In this conclusion, a developmental model of public technology entrepreneurship was proposed to increase the performance of public technology commercialization with the scalability of research institutions. In order to create a public technology information system between consumers and suppliers, a Steinweiss-type technology commercialization model for public technology commercialization, and a job-creating enterprise-type linkage R&D support business model were presented to create the results of R&D support organizations. Conclusions- Through the results of this study, it is meaningful to analyze the performance cases of technology commercialization of R&D support institutions, which have not been studied so far, to build competitiveness of research institutions and to present a growth model for the spread of technology startups. This study has implications in terms of suggesting a way to build competitiveness in technology commercialization between market demanders and suppliers by linking existing public technology startups, which deviated from the simple commercialization support system, with job creation by expanding the R&D support system.

• 대한방사선기술학회지:방사선기술과학
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• 제5권1호
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• pp.97-100
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• 1982

• Journal of Information Processing Systems
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• 제19권3호
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• pp.310-322
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• 2023

Although the network environment is gradually improving, the virtual nature of the network is still the same fact, which has brought a great influence on the supervision of Weibo network public opinion dissemination. In order to reduce this influence, the user information of Weibo network public opinion dissemination is studied by using Python technology. Specifically, the 2019 "Ethiopian air crash" event was taken as the research subject, the relevant data were collected by using Python technology, and the data from March 10, 2019 to June 20, 2019 were constructed by using the implicit Dirichlet distribution topic model and the naive Bayes classifier. The Weibo network public opinion user identity graph model under the "Ethiopian air crash" on June 20 found that the public opinion users of ordinary netizens accounted for the highest proportion and were easily influenced by media public opinion users. This influence is not limited to ordinary netizens. Public opinion users have an influence on other types of public opinion users. That is to say, in the network public opinion space of the "Ethiopian air crash," media public opinion users play an important role in the dissemination of network public opinion information. This research can lay a foundation for the classification and identification of user identity information types under different public opinion life cycles. Future research can start from the supervision of public opinion and the type of user identity to improve the scientific management and control of user information dissemination through Weibo network public opinion.

• 적정기술학회지
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• 제6권2호
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• pp.103-114
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• 2020

적정기술은 해외 개발도상국 지역 주민의 환경과 수요에 맞추어 서로 다른 국가 및 국민들이 상호작용하는 공공외교의 틀로 비추어 볼 수 있을 것이다. 한국에서는 2016년에 공공외교법이 발효 되는 등 비교적 최근에 이르러서야 정부, 기관, 국민들이 참여하고 있으며, 한류 등 문화 분야에 집중되어 있는 현황이다. 이와 관련하여 해외 주요국과 한국의 과학기술 공공외교 현황을 비교해보고, 한국의 강점 및 발전 가능성, 평가 관리에 대해서 고찰해 보고자 한다. 적정기술과 과학기술을 공공외교의 틀에서 접근한다면 한국 및 현지의 각 참여자들이 유기적으로 협력을 도모할 수 있는 기회가 될 수 있을 것이다.

• 한국IT서비스학회지
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• 제20권5호
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• pp.43-54
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• 2021

Currently, citizens' expectations and concerns on utilizing artificial intelligence (AI) technologies in the public sector are widening with the rapid digital transformation. Furthermore the level of global acceptance on the AI and other intelligent digital technologies is augmenting with the needs of non-face-to-face types of public services more than ever due to the unforeseen and unpredictable pandemic, COVID-19. Thus, this study intended to empirically examine what policy directions for the public should be considered to provide well-designed services as well as to promote the evidence-based public policies in terms of Al speaker technology as a non-contact smart city service. Based on the survey of senior citizens' perceptions on AI (AI Speaker technology), this study conducted structure equation modeling analyses to identify whether technology acceptance models on to the varied dependent variables such as actual use, perception, attitude, and brand royalty. The Results of the empirical analyses showed that AI increased the positive level of citizens' perception, attitude and brand royalty on non-contact public services (smart city services) which are becoming more crucial for developing AI oriented government and providing intelligent public services effectively. In addition, theoretical and practical implications are discussed for understanding the changes of public service in the post-corona.

• Journal of Preventive Medicine and Public Health
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• 제48권4호
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• pp.203-215
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• 2015

Objectives: This study was performed to investigate the relationship between the incidence of national notifiable infectious diseases (NNIDs) and meteorological factors, air pollution levels, and hospital resources in Korea. Methods: We collected and stored 660 000 pieces of publicly available data associated with infectious diseases from public data portals and the Diseases Web Statistics System of Korea. We analyzed correlations between the monthly incidence of these diseases and monthly average temperatures and monthly average relative humidity, as well as vaccination rates, number of hospitals, and number of hospital beds by district in Seoul. Results: Of the 34 NNIDs, malaria showed the most significant correlation with temperature (r=0.949, p<0.01) and concentration of nitrogen dioxide (r=-0.884, p<0.01). We also found a strong correlation between the incidence of NNIDs and the number of hospital beds in 25 districts in Seoul (r=0.606, p<0.01). In particular, Geumcheon-gu was found to have the lowest incidence rate of NNIDs and the highest number of hospital beds per patient. Conclusions: In this study, we conducted a correlational analysis of public data from Korean government portals that can be used as parameters to forecast the spread of outbreaks.

• 대한방사선기술학회지:방사선기술과학
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• 제7권1호
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• pp.79-84
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• 1984

• 한국시스템다이내믹스연구
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• 제8권2호
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• pp.191-207
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• 2007

Nowadays almost nations try to promote the competition of nation through the development of national science technology. Also Korea has been engaging in this race of through public research&development institute. But recently the commercialization of R&D products appears a poor result in the royalty of technology according weak technology transfer toward IT small and medium-sized enterprises. Even If we have been trying to find the problems and causes, as yet it is true that we don't solve clearly the problem, make a diagnosis about it. This paper analyzes the process of commercialization in public R&D research institute(ETRI: Electronics and Telecommunications Research Institute) through system thinking and researches an interrelationship among government agency, public R&D research institute, and enterprise. This one can find the fact that between research fund and R&D products, transfer technology and royalty, and enterprise's operating profit and active technology transfer like adding technology development is a positive feedback loop. This positive feedback loop in the commercialization of public R&D research institute carries out very important role in examining problems in R&D product's commercialization. Also this paper looks forward to being a guide in the commercialization of public R&D research institute.

• 디지털융복합연구
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• 제15권7호
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• pp.415-424
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• 2017

본 연구는 공중의 체세포복제기술에 대한 위험특성, 위험심각성, 위험인식 및 위험수용의 관계를 살펴보기 위하여 서울에 거주하는 한국인 300명을 대상으로 IBM SPSS 21 프로그램과 IBM AMOS 21 프로그램을 활용하여 탐색적 요인분석과 확인적 요인분석, 상관관계 분석, 구조모형분석을 수행하였다. 주요결과를 요약 제시하면 다음과 같다. 첫째, 공중의 체세포복제기술에 대한 위험특성은 위험심각성에 통계적으로 유의한 정적 영향을 미치는 것으로 나타났다. 둘째, 공중의 체세포복제기술에 대한 위험특성은 위험인식에 통계적으로 유의한 정적 영향을 미치는 것으로 나타났다. 셋째, 공중의 체세포복제기술에 대한 위험심각성은 위험인식에 통계적으로 유의한 정적 영향을 미치는 것으로 나타났다. 넷째, 공중의 체세포복제기술에 대한 위험특성은 위험수용에 통계적으로 유의한 부적 영향을 미치는 것으로 나타났다. 다섯째, 공중의 체세포복제기술에 대한 위험심각성은 위험수용에 통계적으로 유의한 영향을 미치지 못하였다. 여섯째, 공중의 체세포복제기술에 대한 위험인식은 위험수용에 통계적으로 유의한 영향을 미치지 못하였다.

• 한국정보통신학회논문지
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• 제26권1호
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• pp.64-69
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• 2022

공공기술 사업화는 정부가 주도하는 과학기술의 혁신과 R&D 성과를 민간에 이전하는 것으로 경제 성장을 주도하는 핵심 성과로 인식되고 있다. 따라서 기술 이전을 활성화시키기 위해 성공 요인을 식별하거나 사업화 가능성이 높은 공공기술과 수요기업을 매칭하는 다양한 기계학습의 방법들이 연구되고 있다. 하지만 공공기술 사업화 데이터는 표 형태로 구성되어 있고, 성공-실패 비율이 큰 차이를 보이는 불균형 상태이기 때문에 기계학습 성능이 높지 않는 문제점을 가지고 있다. 이 논문에서는 표 형태로 구성된 공공기술 데이터에서 불균형을 해소하기 위해 CTGAN을 활용하는 방법을 제시한다. 또한 제시된 방법의 효과를 검증하기 위해 실제 공공기술 사업화 데이터를 활용하여 통계적 접근방법인 SMOTE와 비교 실험을 수행하였다. 다수의 실험 사례에서 CTGAN은 공공기술 사업화 성공사례를 안정적으로 예측하는 것을 확인하였다.