지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
초록· 키워드
오류제보하기
The demand for spatial data service technologies is increasing lately with the development of realistic 3D spatial information services and ICT (Information and Communication Technology). Research is being conducted on the real-time provision of spatial data services through a variety of mobile and Web-based contents. Big data or cloud computing can be presented as alternatives to the construction of spatial data for the effective use of large volumes of data. In this paper, the process of building HLM (Hyper Live Map) using multi-source data to acquire stereo CCTV and other various data is presented and a big data service architecture design is proposed for the use of flexible and scalable cloud computing to handle big data created by users through such media as social network services and black boxes. The provision of spatial data services in real time using big data and cloud computing will enable us to implement navigation systems, vehicle augmented reality, real-time 3D spatial information, and single picture based positioning above the single GPS level using low-cost image-based position recognition technology in the future. Furthermore, Big Data and Cloud Computing are also used for data collection and provision in U-City and Smart-City environment as well, and the big data service architecture will provide users with information in real time.
목차
Abstract
1. Introduction
2. Development of HLM and Acquisition of Multi-source Data
3. Cloud and Spatial Big Data
4. Big-Data Service Architecture Design
5. Conclusion
Reference
참고문헌 (19)
참고문헌 신청
Amazon (2013), Amazon Web services Inc., https://aws.amazon.com (last date accessed: 5 April 2016).
Cho, Y.W., Pyeon, M.W., and Kim, D.S. (2013), Comparisonof Image Matching Algorithms in the Spatial InformationSystem, Journal of Korean Society for GeospatialInformation System, Vol. 2013, No. 5, pp. 139-142. (inKorean)
Cho, Y.W., Pyeon, M.W., Kim, D.S., Moon, S.J., and Jang,I.W. (2014), Video Image Based Hyper Live Spatial DataConstruction, Springer Berlin Heidelberg, Heidelberg,Berlin, Vol. 274, pp. 371-376.
Cloud It (2015), Innogrid corp., http://www.cloudit.co.kr (lastdate accessed: 6 April 2016).
Jang, I.W., Pyeon, M.W., Eo, Y.D., Jeon, M.C., and Lim, S.B.(2013), Trend Analysis of Spatial Information Using BigData, Research Notes in Information Science, Vol. 14, pp.396-399.
Cho, Y.W., Pyeon, M.W., Kim, D.S., Moon, S.J., and Jang,I.W. (2014), Video Image Based Hyper Live Spatial DataConstruction, Springer Berlin Heidelberg, Heidelberg,Berlin, Vol. 274, pp. 371-376.
Cloud It (2015), Innogrid corp., http://www.cloudit.co.kr (lastdate accessed: 6 April 2016).
Jang, I.W., Pyeon, M.W., Eo, Y.D., Jeon, M.C., and Lim, S.B.(2013), Trend Analysis of Spatial Information Using BigData, Research Notes in Information Science, Vol. 14, pp.396-399.
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UCI(KEPA) : I410-ECN-0101-2016-533-002817657