• 한국벤처창업학회:학술대회논문집
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• 2022.04a
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• pp.83-88
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• 2022

현재 4차산업혁명시대에 창의적인 아이디어와 적극적인 도전정신으로 무장한 스타트업이 글로벌 산업을 주도하고 있다. 정부에서도 지역별 스타트업 생태계 활성화를 위해 전국 17개의 창조경제혁신센터 운영을 지원하며, 각 센터별로 '개방성, 자율성, 다양성'의 운영 원칙 하에 지역별 스타트업 창업 생태계 허브, 공공 액셀러레이터, 그리고 오픈 이노베이션 플랫폼 역할을 담당하고 있다. 최근 수도권 스타트업 생태계는 활성화되고 있는데 비해, 지역의 스타트업 생태계는 인력, 자금 등 스타트업 성장에 핵심적인 요소 확보에 큰 어려움을 겪고 있다. 특히, 부산은 일자리를 찾아 수도권으로 떠나는 등 청년층의 이탈로 고령화가 가장 빠른 도시로서, 지역 일자리 문제를 해결하는 주요 방법 중의 하나로 스타트업 생태계 활성화가 중요한데, 스타트업 지원기업 중에서도 초기 스타트업 창업 및 성장 지원 업무에 집중하는 부산창조경제혁신센터의 역할이 매우 중요하다. 본 연구에서는 부산창조경제혁신센터의 운영 개선 방향을 내부 직원 설문조사로 도출하고, 타겟 고객을 창업가/초기 스타트업(Creator), 교육기관(Campus), 대기업(Company), 그리고 커뮤니티(Community)의 4C로 정의하였다. 부산창조경제혁신센터의 일관된 방향성 정립을 위해 미션과 비전을 각각 정의했으며, 그것을 달성하기 위한 전략 및 실행 방안을 도출하였다. 마지막으로 센터와 직원들이 공동 성장할 수 있는 센터 업무 협력 체계와 역량 강화 교육 체계를 제시한다.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.3
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• pp.693-698
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• 2018

This paper proposes a vehicle detection method for parking areas using unmanned aerial vehicles (UAVs) and using YOLOv2, which is a recent, known, fast, object-detection real-time algorithm. The YOLOv2 convolutional network algorithm can calculate the probability of each class in an entire image with a one-pass evaluation, and can also predict the location of bounding boxes. It has the advantage of very fast, easy, and optimized-at-detection performance, because the object detection process has a single network. The sliding windows methods and region-based convolutional neural network series detection algorithms use a lot of region proposals and take too much calculation time for each class. So these algorithms have a disadvantage in real-time applications. This research uses the YOLOv2 algorithm to overcome the disadvantage that previous algorithms have in real-time processing problems. Using Darknet, OpenCV, and the Compute Unified Device Architecture as open sources for object detection. a deep learning server is used for the learning and detecting process with each car. In the experiment results, the algorithm could detect cars in a dense area using UAVs, and reduced overhead for object detection. It could be applied in real time.

• The Journal of Bigdata
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• v.4 no.2
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• pp.195-205
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• 2019

Linked Open Data (LOD) is rated as the best of any kind of data disclosure, and allows you to search related data by linking them in a standard format across the Internet. There is an increasing number of cases in which relevant data are constructed in the LOD form in the global environment, but in the domestic healthcare sector, the disclosure of data in the form of LOD is still at the beginning stage. In this paper, we introduce a case of LOD platform construction that provides services by linking domestic and international related data by LOD method, based on the data of Korean medical research paper data and health care big data linkage platform. Linking all data from each DB into an LOD requires a lot of time and effort, and is basically an infrastructure task that government or public institutions should be in charge of rather than the private sector. In this study, ten domestic and foreign LOD sites were linked with only a portion of each DB, enabling users to link data from various domestic and foreign organizations in a convenient manner.

• Journal of the Korean Society for Library and Information Science
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• v.54 no.2
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• pp.155-178
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• 2020

As the research environment, such as Open Science, has recently changed, the scope of research support services conducted by university libraries is also expanding. In particular, there is a movement that needs to develop research support services of university libraries that are suitable for this through a clear understanding of the research life cycle centering on overseas. The purpose of this study is to provide suggestions that university libraries can refer to when developing research support services that can systematically support all phases of the research life cycle. To this end, the research life cycle was divided into five stages, "planning," "project," "publishing," "preservation" and "disseminating" and the research support services provided at each stage were examined around the cases of U.S. and domestic university libraries. Based on the implications obtained from the case, a service plan was proposed for domestic university libraries to systematically support each phase of the research life cycle.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.18 no.6
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• pp.139-143
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• 2018

Arduino, based on open source hardware, is used in many IoT devices, and IoT devices require multitasking for various inputs and outputs. Among the several methods used for multitasking based on Arduino, we compare three methods: Timing Call by using millis(), Simple Timer library method, and Timer library method. In order to measure the execution error caused by measurement and time delay of each method, two situations are created and analyzed. In the first case, 10 random tasks of a certain size are generated to measure the time delay of each method. In the second situation, 10 random tasks of a certain size are generated to compare execution errors caused by the time lag of the Timer library. In the first case, the millis() timing call method and the Simple Timer library method have a similar time delay and the Timer library method has more time delay. In the second situation, an execution error occurred in which small-size tasks were not called back at the correct timing due to the time delay.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.19 no.4
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• pp.169-174
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• 2019

In this study, I use surveillance data collection and data mining, clustered by clustering method, and use supervised learning to judge similarity. I aim to use feature extraction algorithms and supervised learning to analyze the suitability of the correlations of personality. After conducting the questionnaire survey, the researchers refine the collected data based on the questionnaire, classify the data sets through the clustering techniques of WEKA, an open source data mining tool, and judge similarity using supervised learning. I then use feature extraction algorithms and supervised learning to determine the suitability of the results for personality. As a result, it was found that the highest degree of similarity classification was obtained by EM classification and supervised learning by Naïve Bayes. The results of feature classification and supervised learning were found to be useful for judging fitness. I found that the accuracy of each Big-5 personality was changed according to the addition and deletion of the items, and analyzed the differences for each personality.

• The Bulletin of The Korean Astronomical Society
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• v.46 no.2
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• pp.64.3-65
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• 2021

인공지능 기계학습에 의한 한문고전 자동번역기는 승정원일기 뿐만 아니라, 한국 고문헌 중 천문 기록에 특화되어 한자로 된 천문 고전을 한글로 번역해 서비스하고 있다. 한국천문연구원은 한국지능정보사회진흥원이 주관하는 2019년도 Information and Communication Technology 기반 공공서비스 촉진사업에 한국고전번역원과 공동 참여하여 이 자동 번역기 개발을 완료한 것이다. 이 번역기의 개발 목적은 초벌 번역 수준일지라도 문장 형태의 한문을 한글로 자동 번역하는 것이며, 이 연구는 현재 번역기 운용 현황을 서비스 별로 분석하고자 한다. 자동 번역관련 서비스는 크게 3가지이다. 첫째, 누구나 웹 접속을 통해 사용 가능한 한문고전 자동번역 대국민 서비스이다. 1년간 자체 시험을 거쳐 2021년 1월 12일 시험판을 오픈하여 운용 중에 있다. 둘째, 기관별로 구축된 코퍼스와 도메인 특화된 번역 모델 등을 관리할 수 있는 한문고전 자동번역 확산 플랫폼 서비스이다. 대국민 서비스와 함께 클라우드 기반으로 서비스되며, 한국고전번역원이 관리를 담당한다. 셋째, 자동번역 Applied Programmable Interface를 활용한 한국천문연구원 내 자체 활용이 가능한 천문고전 자동번역 서비스이다. 서비스 현황 분석은 기관별 관리 서비스에 해당되는 한문고전 자동번역 확산 플랫폼에서 집계하여 제공하는 대시보드의 통계 기능을 활용한다. 각 서비스별 문장과 파일 번역 이용 건수, 번역 속도, 평균 자수 뿐만 아니라, 번역 모델 프로필에 따른 이용률 분석이 가능하다. 이에 따른 주요 분석 중 하나인 올해 전체 번역 이용 건수는 한 해 각 기관의 평균 방문자수 대비 87% 성과 목표에 해당되는 약 38만 건에 근접할 것으로 예측된다. 이 자동 번역기는 원문 해독 시간을 단축시키는 효과와 함께 미번역 천문 고문헌의 활용성을 높여 다양한 연구에 기여할 것이다.

• Journal of the Korean Institute of Landscape Architecture
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• v.43 no.5
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• pp.13-27
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• 2015

This study examined disaster risk from climate change in urban open spaces. This study conducted an assessment depending on type of damage and type of open space, subcategorizing it into flood damage and wind damage, flat park and mountainous park, and classified the assessment items by type into natural factor, artificial factor, and social factor for the purpose of analysis. Our major findings from this study are as follows: To look at the standardized score for the disaster risk from flood damages in the case of a flat park, Asian Park was higher at 55.800 point than Seoul Forest at 51.775 point, and in the case of mountainous parks, Dogok Park was at 58.428 point and Baebongsan Park was at 58.374 point. To look at the standardized score for disaster risk from wind damage, in the case of a flat park, Asian Park was higher at 64.763 point than Seoul Forest at 61.054 point, and in the case of mountainous parks, Baebongsan Park was higher at 58.533 point than Dogok Park at 55.459 point. This study raised a question about the necessity for and value of this disaster risk assessment in open space from damages caused by climate change, established an assessment model for disaster risk from damages in open spaces only to attempt risk assessment. Disaster risk of urban green space was enhanced.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.5
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• pp.89-97
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• 2018

In the past, hospitals were planned with a minimum of public space for the sole purpose of treatment. On the other hand, modern hospitals have more public space as the importance of the healing environment increases and are planned taking into consideration the patients, guardians, and medical staff. In addition, the lobby shape is developed from a HALL type and planned as a STREET type or CONCOURSE type, increasing the public area. Unlike past hospitals, which were used as reception, waiting, and procedure spaces, modern hospitals are used as commercial, hobby, and cultural space. The purpose of the study was to evaluate the healing environment of the hospital lobby based on the shape of the plane surface by deducting the elements of general hospitals' healing environment from preceding studies as a framework. The hospital lobby is an important place where many actions occur. Therefore, 3 types of cases were evaluated based on the plane form. As a result of the study, the STREET type showed a better healing environment than the HALL type, but the accessibility, roof garden, and resting place showed similar results. Because the case was based on a large general hospital, which had sufficient planned space, the factor has little to do with the style of the lobby. Among the STREET types, the linear atrium showed a better result in terms of the sense of space and inflow effect of natural lighting than the four-sided atrium because the linear atrium has large open volume ratio. When the lobby plane is the HALL type, a cross section of the courtyard had a large open volume ratio. Therefore, the shape of the cross section is as important as the plane form of the lobby.

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.46 no.3
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• pp.197-209
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• 2018

In this study, numerical analyses on Quad Tilt Rotor(QTR) are carried out to investigate the interference effect of components and effect of operating condition during forward flight. Actuator Surface Method(ASM) which is implemented in an open source CFD code, OpenFOAM, is used to calculate the flow field around QTR with high computational efficiency. The lift of the front and rear wing is found to increase or decrease depending on the rotation direction of the rotor. At the rear wing, the interference effects of the front and rear rotor appear as a combined manner. Performance change due to the phase difference is found to be insignificant. For both rotors, the locally higher thrust is generated by the blockage effect of the wing. The interference effect of wake from the front nacelle contributes to higher local thrust for the rear rotor compared to the front rotor. And it is observed that the amplitude of thrust oscillation can decrease depending on the phase difference between the rotors. Aerodynamic performances of both rotors and the entire aircraft were compared and analyzed for various operating conditions.