• Knowledge Management Research
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• v.19 no.1
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• pp.175-202
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• 2018

The aim of this conceptual article is to explore the sharing economy ecosystem concept in innovation policy context with cluster, innovation system, smart specialization and business ecosystem approaches. This study conducts comparative study to understand what has been changed by sharing economy through Uber case in four cities. By analyzing vital constructs in sharing economy ecosystem, we suggest how sharing economy ecosystem works, and presenting core factors in policy framework of sharing economy ecosystem. In addition, we attempt to explain that policy maker should consider the relationship between these factors. The result of this paper shows sharing economy ecosystem has developed with their characteristics and constructs that are different with traditional industry.

• The Journal of the Korea Contents Association
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• v.19 no.2
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• pp.36-48
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• 2019

The purpose of this study is to investigate case studies and industry needs for convergence education in the fields of electronics, software, and automobiles, which are the technical foundations of the Fourth Industrial Revolution. Through the literature review, the convergence education programs focusing on electronics, software, and automobile were derived. The areas were validated by the experts review who consisted of three industry experts and professors in the relevant fields. Domestic and foreign curriculum were investigated to understand the current state of technical convergence education in each field. Industry needs survey for technical convergence education was conducted in cooperation with the Sector Council of Industrial Resources. Research instruments consisted of three parts: needs for technical convergence education, needs for the specific convergence education in the field of electronics, software, and automobile, and opinions on convergence education. A total of 341 participants responded to the questionnaires: 132 in the electronic field, 100 in the software field, and 109 in the automobile field. The industry needs for convergence education were analyzed and implications were suggested. The results of this study are expected to provide a guideline for developing convergence education programs in higher education.

• 한국벤처창업학회:학술대회논문집
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• 2020.11a
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• pp.61-67
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• 2020

현재 글로벌 환경은 빠르게 변화하는 4차 산업혁명의 도래로 산업구조는 물론 사회경제 전반에 걸쳐 거대한 변화에 직면하고 있으며, 미래에 대한 불확실성이 깊어져서 이에 대한 빠른 대응이 필요한 시대가 되었다. 또한 4차 산업의 주축인 디지털 혁명과 코로나 19 팬데믹 사태로 변화의 가속화가 진행되면서 이러한 변화에 얼마나 신속하게 대응하느냐가 생존과 성장의 핵심이 되었다. 본 연구는 기존의 선행 문헌연구를 바탕으로 기술기반 창업기업의 창업가 역량과 기업성과 간의 인과관계를 통합적으로 규명하는 것을 목적으로, 불확실한 경제 상황 속에서 기술창업과 창업가 역량의 중요성을 인식하여 기업성과에 영향을 주는 요소를 분석하고자 한다. 이와 같은 목적을 달성하기 위하여 창업가 역량을 독립변수로 하고, 정부지원활용을 매개로, 창업가 일반적 특성(업종, 업력, 창업경험, 특허보유, CTO인력보유 여부 등)을 조절변수로 하여 기업성과에 미치는 영향에 대한 연구모형을 설정하였다. 연구모형 검증을 위해 대전 대구 지역의 연구개발특구, 산업기술단지, 첨단산업단지, 창업보육센터, 테크노파크등, 기술집접화시설에 입주해 있는 217개 기업을 대상으로 온 오프라인 방식의 설문조사를 실시하였다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2021.01a
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• pp.111-112
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• 2021

로봇은 인공지능(AI) 기술을 비롯해 빅데이터, 센서기술, 클라우드 등 다양한 신 분야의 축적된 기술력과 노하우를 필요로 한다. 코로나 19 여파로 비대면 서비스에 대한 수요가 증가하고 정보통신기술이 발전되고 있는 가운데 청소용, 잔디 깎기, 가사용, 동반자, 엔터테인먼트 및 레저용, 노약자 및 장애인 지원 로봇 등 우리생활 주변에서도 서비스 로봇이 빠르게 도입되고 있다. 본 논문에서는 최근 3년간(2018.1~2020.12) 중앙지, 경제지 등 54개 언론사 기사를 빅카인즈와 데이터랩을 이용하여 서비스 로봇&인공지능을 키워드로 관계도 분석, 키워드 트렌드, 연관어 분석을 하였다. 연관어 키워드 빈도수로는 인공지능(534), LG전자(157), 드론(112), 자율주행(101), 빅데이터(81), 로보티즈(61), 사물인터넷(34) 순으로 서비스 로봇의 성장은 인공지능을 비롯한 4차 산업혁명 관련 기술과 연관성이 매우 컸다. 2016년~2020년 기간에 산업용 로봇은 1.89배 증가했으며, 서비스 로봇은 5.21배 증가하여 서비스 로봇의 수요가 다양한 분야에서 확산됨을 확인할 수 있었다.

• Broadcasting and Media Magazine
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• v.25 no.4
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• pp.35-45
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• 2020

역사적으로 전염병은 기존의 경제 질서를 완전히 바꾸는 촉매제였다. 전문가들은 코로나19가 디지털 플랫폼 경제를 획기적으로 확대하고 보호주의 중심의 글로벌 경제 질서를 획기적으로 재편할 것으로 내다봤다. 특히, 비대면 문화가 보편화됨에 따라 기존 산업에서 인공지능으로 이어지는 혁신 기술을 접목한 디지털 기반 산업으로 전환해야 할 필요성에 따라 ICT 기반 기업 간의 경쟁이 심화될 것으로 예상된다. 코로나19는 신기술로 막 뛰어든 스타트업 ICT 기업에게 새로운 기회가 될 수도 있고, 기존 ICT 기업이 입지를 강화해 글로벌기업으로 거듭날 수 있는 기회가 될 수도 있다. 그 기회의 중심에는 4차 산업 혁명을 이끌 인공지능 기술이 있다. 본 고에서는 포스트 코로나 시대를 위한 인공지능 기술의 동향과 발전 방향을 살펴보고, AR 및 VR과 같은 영상 미디어 기술의 역할에 대해서 살펴본다.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.19 no.1
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• pp.1-16
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• 2020

With the advent of the fourth industrial revolution era, there has been a growing interest in deep learning using big data, and studies using deep learning have been actively conducted in various fields. In the transportation sector, there are many advantages to using deep learning in research as much as using deep traffic big data. In this study, a short -term travel speed prediction model using LSTM, a deep learning technique, was constructed to predict the travel speed. The LSTM model suitable for time series prediction was selected considering that the travel speed data, which is used for prediction, is time series data. In order to predict the travel speed more precisely, we constructed a model that reflects both temporal and spatial effects. The model is a short-term prediction model that predicts after one hour. For the analysis data, the 5minute travel speed collected from the Seoul Transportation Information Center was used, and the analysis section was selected as a part of Gangnam where traffic was congested.

• The Journal of the Korea Contents Association
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• v.19 no.11
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• pp.12-21
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• 2019

In the era of the Fourth Industrial Revolution, drones have become a flexible device that can be integrated with new technologies. The drones were originally developed as military unmanned aircraft and are now being used in various fields. In the environment and weather observation area, the atmospheric boundary layer is near the surface where the atmosphere is the most active in the meteorological phenomenon and has a close influence on human activities. In order to carry out the study of these atmospheric boundary layers, it is necessary to observe precisely the lower atmosphere and secure the observation technology. The drones in the meteorological field can be used for meteorological observations at a relatively low maintenance cost compared to existing equipment. When used in conjunction with various sensors, the drones can be widely used in atmospheric boundary layer and local meteorological studies. In this study, the possibility of meteorological observations using drones was confirmed by conducting vertical meteorological (temperature and humidity) observation experiments equipped with a combined meteorological sensor and a radio sonde on drones owned by NIMS.

• Journal of Korean Society of Archives and Records Management
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• v.19 no.3
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• pp.205-222
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• 2019

This study analyzed the problems that occurred while constructing and operating the cloud record management system at the record management workplace and suggested ways to improve the system. In the study, the cloud record management system has the following problems: first, it has not been accompanied by the change in the legislative system. Second, it has not been utilizing the benefits of cloud technology. Third, it has not been considering the changes after the system construction. Given this, the study suggested three improvement plans to solve these problems: first, in relation to the reformed legislative system, the study proposed the diversification of records management units (file-item structure) and the restriction on access to records. Second, the study suggested a system redesign by improving the current work process based on paper documents. Third, to solve records management issues, the study presented the establishment of the governance body and the proactive countermeasure of the National Archives of Korea.

• Journal of Creative Information Culture
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• v.7 no.1
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• pp.1-9
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• 2021

Subjects for the study are educationally alienated class living in poor educational environment. Those students often live outside the reach of software education which is one of key capabilities of Fourth Industrial Revolution. The gap between student in rural and urban areas is becoming more distinct and schoolchildren in rural areas are further limited to access software development education under COVID-19 where face-to-face classes are more rarely conducted. To overcome the issue, AI based thinking skills coding educational program was developed and tested on children in 6 primary schools in south and north of Gyunggi-do, South Korea. Questionnaire were conducted before and after classes to research on students'awareness on AI thinking skills coding. At the end of the study, subjects showed statistically significant increase in confidence, interest, and attitude, and showed positive overall feedback on software development tendency after the program is conducted.

• Journal of the Korea Society of Computer and Information
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• v.27 no.8
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• pp.263-269
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• 2022

This study is to propose a FOCUS Teaching & Learning model to educate pre-service early childhood teachers and in the era of convergence and integration and the Fourth Industrial Revolution. In an era where the use of digital technology is maximized due to COVID-19, boundaries of each fields are blurred and convergence is emphasized, a teaching and learning model is needed to strengthen capabilities of freshmen at colleges that train specialists. This study proposes ways to vitalize ICT education in early childhood education and proposes an integrated teaching and learning model. Through this model, pre-service early childhood teachers will be able to enhance their digital capabilities and contribute to the field of early childhood education by producing video content, activities and teaching aids to be provided to early childhood education institutions. In addition, the model can be applied to areas other than early childhood education to improve digital capabilities through video production and utilization.