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마산지역항의 해양 ICT의 활용방안을 위한 연구

A Study on the Utilization of Marine Information and Communication Technology in Masan Area Port

  • 김성민 (부경대학교 대학원 행정공간정보화드론학과) ;
  • 윤홍주 (부경대학교 공간정보시스템공학과)
  • 투고 : 2021.05.03
  • 심사 : 2021.08.17
  • 발행 : 2021.08.31

초록

본 연구는 남해안지역 진출을 위한 거점항만으로서의 마산항이 경제의 중추적 역할을 담당하기 위해 마산지역항의 해양 정보통신기술의 활용방안을 위한 연구로 기존의 마산항만의 현황과 적용중인 ICT를 바탕으로 중장기적으로 추구해야 할 해양 정보화 기술의 활용에 대하여 살펴보고자 한다.

This study is a study for the utilization of marine information and communication technology of Masan port in order to play a pivotal role in the economy of Masan port as a base port for entering the southern coast area. It aims to examine the utilization of marine information technology to be pursued in the mid- to long-term based on the current status of Masan port and the ICT being applied.

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참고문헌

  1. C, LEE, "On the Analysis of Physical Distribution System in Mokpo Port Park," J. of Korean Port Research, vol 10.1, 1996, pp. 1-14.
  2. H.. Lee, "A Study on the Competitiveness Analysis of Masan Por," J. of Navigation and Port Research, vol. 35, no. 8, 2011, pp. 677-682. https://doi.org/10.5394/KINPR.2011.35.8.677
  3. Y. Kang, "The direction of Masan Port development through the comparison of free trade zone system," The Journal of the Korean Port Economics, vol. 19, no. 1, 2003, pp. 161-188.
  4. S. Kim, "The Shipping Inspection and Balancing Operating System The Shipping Inspection and Balancing Operating System," J. of the Korea Institute of Electronic Communication Sciences, vol. 15, no. 4, 2020, pp. 747-753. https://doi.org/10.13067/JKIECS.2020.15.4.747
  5. K. Kim, "OneNet Cloud Computing Based Real-time Home Security System," J. of the Korea Institute of Electronic Communication Sciences, vol. 16, no. 1, 2021, pp. 101-108. https://doi.org/10.13067/JKIECS.2021.16.1.101
  6. S. Park, "Optimal Calculation of Size of Harbor Facility ensuring Maximum Resident's Participation using SNS and ICT," J. of the Korea Institute of Electronic Communication Sciences, vol. 9, no. 10, 2014, pp. 1153-1159. https://doi.org/10.13067/JKIECS.2014.9.10.1153
  7. Y. Liu, R. H. Weisberg, and C. N. K. Mooers, "Performance evaluation of the self-organizing map for feature extraction," J. of Geophysical Research, vol. 111, 2006, pp. C05018. https://doi.org/10.1029/2005JC003117
  8. D. B. Reusch and R. B. Alley, "North Atlantic climate variability from a self-organizing map perspective," J. of Geophysical Research, vol. 112, 2007, pp. D02104. https://doi.org/10.1029/2006JD007460
  9. B. C. Hewitson and R. G. Crane, "Self-organizing maps: applications to synoptic climatology," Climate Research, vol. 22, no. 1, 2002, pp. 13-26. https://doi.org/10.3354/cr022013
  10. D. Arribas-Bel, P. Nijkamp, and H. Scholten, "Multi-dimensional urban sprawl in Europe: a self-organizing map approach," Computers, Environment and Urban Systems, vol. 35, no. 4, pp. 263-275. https://doi.org/10.1016/j.compenvurbsys.2010.10.002
  11. W. Lim and K. Seo, "Investigation on Characteristics of Summetime Extreme Temperature Events Occurred in South Korea Using Self-Ogranizing Map," Atmosphere Korean Meteorological Society, vol. 28, no. 3, 2018, pp. 305-315.