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Priority for the Investment of Artificial Rainfall Fusion Technology

인공강우 융합기술 개발을 위한 R&D 투자 우선순위 도출

Lim, Jong Yeon;Kim, KwangHoon;Won, DongKyu;Yeo, Woon-Dong
임종연;김광훈;원동규;여운동

  • Received : 2019.02.27
  • Accepted : 2019.03.12
  • Published : 2019.03.28

Abstract

This paper aims to develop an appropriate methodology for establishing an investment strategy for 'demonstration of artificial rainfall technology using UAV' and that include establishment of a technology classification, set of indicators for technology evaluation, suggestion of final key technology as a whole study area. It is designed to complement the latest research trend analysis results and expert committee opinions using quantitative analysis. The key indicators for technology evaluation consisted of three major items (activity, technology, marketability) and 10 detailed indicators. The AHP questionnaire was conducted to analyze the importance of indicators. As a result, it was analyzed that the attribute of the technology itself is most important, and the order of closeness to the implementation of the core function (centrality), feasibility (feasibility). Among the 16 technology groups, top investment priority groups were analyzed as ground seeding, artificial rainfall verification, spreading and diffusion of seeding material, artificial rainfall numerical modeling, and UAV sensor technology.

Keywords

Artificial Rainfall;Unmanned Aerial Vehicle;Fusion Technology;Key Indicator;Priority;Data-Driven

References

  1. J. Alcamo, T. Henrichs, and T. Roesch, World Water in 2025, Centre for Environmental Systems Research, University of Kassel, 1999.
  2. T. P. DeFelice, ASCE Standard Practice for the Design and Operation of Precipitation Enhancement Projects, In Public Ballotting, 2016.
  3. I. Langmuir, Summary of results thus far obtained in artificial nucleation of clouds, Schenectady, 1948.
  4. B. Vonnegut, "The nucleation of ice formation by silver iodide," Journal of applied physics, Vol.18, pp.593-595, 1947. https://doi.org/10.1063/1.1697813
  5. D. Axisa and T. P. DeFelice, "Modern and prospective technologies for weather modification activities: Developing a framework for integrating autonomous unmanned aircraft systems," Atmospheric Research, Vol.193, pp.173-183, 2017. https://doi.org/10.1016/j.atmosres.2017.04.024
  6. F. Kodama, Technology Fusion and the New R&D, Harvare Business Review, 1992.
  7. 국가기술지도 수립, 과학기술통신부, 2012.
  8. 기상기술로드맵(MTRM), 기상청, 2007.
  9. 드론산업 발전 기본계획(안), 2017.
  10. D. Baker and D. J. H. Smith, "Technology foresight using roadmaps," Long Range Planning, Vol.28, No.2, pp.21-28, 1995. https://doi.org/10.1016/0024-6301(95)98586-H
  11. S. G. Gupta, M. M. Ghonge, and P. M. Jawandhiya, "Review of Unmanned Aircraft System (UAS)," International Journal of Advanced Research in Computer Engineering& Technology, Vol.2, pp.1646-1658, 2013.
  12. M. Bell, Learning and the Accumulation of Industrial Technological Capacity in Developing Countries, Macmillan. 1984.
  13. F. Hacklin, C. Marxt, and F. Fahrni, "Coevolutionary Cycles of Convergence: An Extrapolation from the ICT Industry," Technological Forecasting and Social Change, Vol.76, No.6, pp.723-736, 2009. https://doi.org/10.1016/j.techfore.2009.03.003
  14. F. Fai and V. N. Tunzelmann, "Industryspecific competencies and converging technological systems : Evidences from patents," Structural Change and Economic Dynamics, Vol.12, No.2, pp.141-171, 2001. https://doi.org/10.1016/S0954-349X(00)00035-7
  15. D. J. Bryc, and S. G. Winter, "A general interindustry relatedness index," Management Science, Vol.55, No.9, pp.1570-1585, 2009. https://doi.org/10.1287/mnsc.1090.1040
  16. M. E. Porter and J. W. Rivkin, Matching Dell., Harvard Business School Case, 1999.
  17. V. Mahajan, E. Muller, and F. M. Bass, "New product diffusion models in marketing: a review and directions for research," Journal of Marketing, Vol.54, pp.1-26, 1990. https://doi.org/10.1177/002224299005400301
  18. A. Hargadon, Diffusion of innovations, Boca Raton, 1998.
  19. W. Leontief, "Quantitative Input-Output Relations in the Economic System of the United States," Review of Economics and Statistics, Vol.18, pp.105-125, 1936. https://doi.org/10.2307/1927837
  20. R. E. Miller and P. D. Blair, Input-Output Analysis: Foundations and Extensions, New Jersey: Prentice-Hall, 1985.
  21. U. Schmoch, Tracing the knowledge transfer from science to technology as reflected in patent indicators, Scientometrics, Vol.26, No.1, pp.193-211, 1993. https://doi.org/10.1007/BF02016800
  22. 석왕헌, 송영근, 박춘환, "M2M 부문에 대한 산업연관분석- RAS법을 활용," 산업경제연구, 제28권, 제6호, pp.2303-2327, 2015.
  23. 강성진, "녹색성장과 국토관리전략; 녹색산업의 경제파급효과와 국토관리전략," 국토연구원, 제327권, pp.29-39, 2009.
  24. 권승문, 김하나, 전의찬, "신재생에너지산업의 경제적 파급효과 분석," Journal of Climate Change Research, Vol.7, No.1, pp.59-68, 2016. https://doi.org/10.15531/ksccr.2016.7.1.59
  25. O. S. Vaidya and S. Kumar, Analytic Hierarchy Process : An Overview of Applications, European Journal of Operational Research, Vol.169, No.1, pp.1-29, 2006. https://doi.org/10.1016/j.ejor.2004.04.028
  26. Frascati Manual "Guidelines for Collecting and reporting data on research and experimental development," OECD, 2015.
  27. 조영우, 양용준, 조근태, 이종인, "AHP를 이용한 유통분야 미래유망기술의 우선순위 설정," 한국식품저장유통학회지, 제11권, 제1호, pp.276-281, 2004.
  28. 신용광, 김창길, 김태영, "계층적분석과정(AHP)을 이용한 친환경농업정책 프로그램의 우선순위 결정," 농업경제, 제28권, 제2호, pp.39-56, 2005.
  29. 이종인, 조근태, 신봉철, 김성철, "AHP를 이용한 생명공학분야 미래유망기술의 우선순위 설정," 강원대학교 농업과학연구소 논문집, 제17권, pp.65-73, 2006.
  30. 심용호, 변기섭, 이봉규, "AHP와 ANP 방법론을 이용한 그린 ICT 정책의 전략적 우선순위 도출 방안," 한국 인터넷 정보학회, 제12권, 제1호 pp.85-98, 2011.
  31. J. Bar-Ilan, "Informetrics at the beginning of the 21st century-A review," Journal of Informetrics, Vol.2, No.1, pp.1-52, 2008. https://doi.org/10.1016/j.joi.2007.11.001
  32. Y. H. Tseng, Y. L. Lin, Y. Y. Lee, W. C. Hung, and C. H. Lee, "A comparison of methods for detecting hot topics," Scientometrics, Vol.8, No.1, pp.73-90, 2009.
  33. 국가연구개발사업 등의 성과평가 및 성과관리에 관한 법률, 2005.
  34. I. Witten and E. Frank, "Data Mining: Practical Machine Learning Tools and Techniques," San Francisco 2nd Ed. Morgan Kaufmann, 2005
  35. O. Sorenson, J. W. Rivkin, and L. Fleming, "Complexity, networks and knowledge flow," Research policy, Vol.35, pp.994-1017, 2006. https://doi.org/10.1016/j.respol.2006.05.002
  36. 김광훈, 원동규, 여운동, "무인항공기 산업의 경제적 파급효과," 한국콘텐츠학회논문지, 제18권, 제2호, pp.216-230, 2018.
  37. 산업연관분석해설, 한국은행, 1987.
  38. 2014년 산업연관표, 한국은행, 2016.
  39. A. O. Hirschman, The Strategy of Economic Development: New Haven, Yale University Press, 1958.
  40. L. P. Jones, "The Measurement of Hischmanian Linkage Hypothesis," Quarterly Journal of Economics, Vol.90, No.2, pp.323-333, 1976. https://doi.org/10.2307/1884635
  41. T. L. Saaty, The Analytic Hierarchy Process, McGraw-Hill, 1980.