한국농공학회지 (Magazine of the Korean Society of Agricultural Engineers)

한국농공학회 (The Korean Society of Agricultural Engineers)
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침수피해 대응을 위한 빅데이터 기술 활용 방안

  • 발행 : 2016.08.31
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참고문헌

  1. Choi, S.H., 2014. The model for sensing of disaster signs based on big data. Journal of the Korean Society of Hazard Mitigation 14(2): 149-157 (in Korean). https://doi.org/10.9798/KOSHAM.2014.14.2.149
  2. Choi, S.H., Park, Y.J., Shim, J.H., 2015. Strengthening of disaster management ability through big data utilization. The Magazine of the Korean Society of Civil Engineering 63(7): 21-28 (in Korean).
  3. Faghmous, J.H., Kumar, V., 2014. A big data guide to understanding climate change: The case for theory-guided data science. Big Data 2(3): 155-163. https://doi.org/10.1089/big.2014.0026
  4. Ferguson, A.R., Nielson, J.L., Cragin, M.H., Bandrowski, A.E., Martone, M.E., 2014. Big data from small data: Data-sharing in the 'long tail' of neuroscience. Nature Neuroscience 17: 1442-1447. https://doi.org/10.1038/nn.3838
  5. Kim, Y.S., Noh, H.S., Kim, K.T., Kim, H.S., 2015. Management of water resources information based on big data. The Magazine of the Korean Society of Civil Engineering 63(3): 50-57 (in Korean).
  6. Kim, Y.S., Kang, N.R., Jung, J.W., Kim, H.S., 2016. A review on the management of water resources information based on big data and cloud computing. Journal of Wetlands Research 18(1): 100-112 (in Korean). https://doi.org/10.17663/JWR.2016.18.1.100
  7. Laney, D., 2001. 3D data management: Controlling data volume, velocity, and variety. Application Delivery Strategies.
  8. Lee, C.H., Hur, J., Oh, H.J., Kim, H.J., Ryu, P.M., Kim, H.K., 2013. Technology trends of issue detection and predictive analysis on social big data. Electronics and Telecommunications Trends.
  9. Lee, D.K., 2016. An introductory study on a disaster management system using big data-with focus on the comparison of the United States, Britain, and South Korea-. Crisisonomy 12(1): 17-32 (in Korean).
  10. National Disaster Management Institute (NDMI), 2013a. Implementation strategy for development of smart big board and pilot operation. National Disaster Management Institute: NDMI-PR-2013-06-02 (in Korean).
  11. National Disaster Management Institute (NDMI), 2013b. Social bigdata operation plan for disaster management and sensing algorithm of disaster issues. National Disaster Management Institute: NDMI-PR-2013-27 (in Korean).
  12. National Disaster Management Institute (NDMI), 2013c. Development of collection and analysis models for unstructured bigdata of disaster-related. National Disaster Management Institute: NDMIPR-2013-27-02 (in Korean).
  13. National Disaster Management Institute (NDMI), 2014. The research of social bigdata utilization guideline for disaster management and territorial expansion for sensing issues. National Disaster Management Institute: NDMI-PR-2014-12-01 (in Korean).
  14. Shelton, T., Poorthuis, A., Graham, M., Zook, M., 2014. Mapping the data shadows of hurricane Sandy: Uncovering the sociospatial dimensions of 'big data'. Geoforum 52: 167-179. https://doi.org/10.1016/j.geoforum.2014.01.006