위험관리를 위한 loT 도입-인프라 구축 및 인적 오류 대응 기술을 중심으로

  • Published : 2014.06.16

Abstract

Keywords

References

  1. A-moneim, A., Risk Assessment and Risk Management, p.7, Center for Advancement of Post-Graduate Studies and Research in Engineering Sciences at Cairo University, Cairo, 2005.
  2. James, M., Risk Management in Civil, Mechanical & Structural Engineering, p.71, Thomas Telford Publishing, London, 1996.
  3. Field, A., "The Internet of Everything Makes Smart Bridges Even Smarter", The Network, April, 30, 2014, http://newsroom.cisco.com/press-release-content?type =webcontent&articleId=1412570
  4. 미래창조과학부 보도자료, "사물인터넷 기반의 공공서비스 확산", 2013년 7월 9일, http://www.msip.go.kr/ www/brd/m_211/view.do?seq=438
  5. Butler, B., "12 most powerful Internet of Things companies", Network World, May 21, 2014, http://www.networkworld.com/slideshow/153629/12-most-p owerful-internet-of-things-companies.html
  6. 미래창조과학부 보도자료, "초연결 디지털 혁명의 선도국가 실현을 위한 사물인터넷 기본계획", 2014 년 5월 8일, http://www.msip.go.kr/www/brd/m_211/view.do?seq=1705
  7. Reason, J., "Human error: models and management," the Britich Medical Journal, Vol. 320, pp. 768-770, 2000. https://doi.org/10.1136/bmj.320.7237.768
  8. Cacciabue, P. C., "Human error risk management for engineering systems: a methodology for design, safety assessment, accident investigation and training," Reliability Engineering and System Safety, Vol. 83, pp.229-240, 2004. https://doi.org/10.1016/j.ress.2003.09.013
  9. Marx, D., Maintenance error causation" Washington, DC: Federal Aviation Authority Office of Aviation Medicine, 1999.
  10. Rasmussen, J., "Human error and the problem of causality in analysis of accidents," Phil. Trans. R. Soc. Lond. B 327, pp.449-462, 1990. https://doi.org/10.1098/rstb.1990.0088
  11. Atallah, L., Lo, B., Ali, R., King, R., & Yang, G., "Real-time activity classification using ambient and wearable sensors," IEEE Trans. Infomation Technology in Biomrdicine, Vol. 13, No. 6, 2009.
  12. Kasteren, T., Noulas, A., Englebienne, G., & Krose, B., "Accurate activity recognition in a home setting," UbiComp '08, September 21-24, 2008.
  13. Yang, M., Lv, F., Xu, W., & Gong, Y., "Detection driven adaptive multi-cue integration for multiple human tracking," IEEE ICCV, 2009.
  14. Bashir, F., Khokhar, A. A., & Schonfeld, D., "Object trajectory-based activity classification and recognition using hidden Markov models," IEEE Trans. Image Proc. Vol. 16, No. 7, 2007.
  15. Kim, E. Helal, S., Cook, D., "Human Activity Recognition and Pattern Discovery," Pervasive Computing, IEEE, vol.9, no.1, pp.48-53, 2010.