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Introduction

  • Taeho Woo
Chapter
Part of the Springer Series in Reliability Engineering book series (RELIABILITY)

Abstract

The information technology (IT) is applied to nuclear industry from the nuclear reactor theory to the risk management including the thermal-hydraulics. New kind of non-linear algorithm is introduced for the radiation dispersion for the Chernobyl accident as well as the risk management. Basically, the statistical manipulations for the nuclear interactions are concerned. Even the hardware for the electronics in radiation measurement is classified in the IT field in atomic technology.

Keywords

System Thinking System Dynamic Modeling Chernobyl Accident Neutral Network Causal Loop Diagram 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

  1. 1.
    Zadeh LA (1965) Fuzzy sets. Inf Control 8(3):338–353MathSciNetMATHCrossRefGoogle Scholar
  2. 2.
    Bertsekas DP, Tsitsiklis JN (1996) Neuro-dynamic programming. Athena Scientific, Nashua, pp 512 Google Scholar
  3. 3.
    Woo TH, Kwak SM (2000) Human-system interface study using system dynamics aspects for the control room operator. In: Nuclear installations safety division international meeting on advanced nuclear installations safety, San Diego, 5–6 June 2000Google Scholar
  4. 4.
    Woo TH, Kwak SM (2000) The advanced logical dynamics safety assessment using system dynamics method of auxiliary feed water system (AFWS). In: Nuclear installations safety division international meeting on advanced nuclear installations safety, San Diego, 5–6 June 2000Google Scholar
  5. 5.
    Woo TH, Kwak SM (1999) Dynamical assessment of radioisotope atmospheric dispersion using system dynamics approach in caesium-137. In: The conference record of AGU 1999 fall meeting, San Francisco, CA, 13–17 Dec 1999Google Scholar
  6. 6.
    Sterman JD (2000) Business dynamics systems thinking and modeling for a complex world. McGraw Hill, BostonGoogle Scholar
  7. 7.
    Ventana Systems, Inc., Vensim software, 2009Google Scholar
  8. 8.
    Radzicki M, Taylor R (1997) U.S. Department of energy’s introduction to system dynamics, a systems approach to understanding complex policy issues, version 1. Sustainable Solutions, Inc., ComoGoogle Scholar
  9. 9.
    Forrester J (1961) Industrial dynamics. Pegasus Communications, WalthamGoogle Scholar
  10. 10.
    Forrester JW (1968) Principles of systems. Productivity press, CambridgeGoogle Scholar
  11. 11.
    Forrester JW (1969) Urban dynamics. Pegasus Communications, WalthamGoogle Scholar
  12. 12.
    Forrester JW (1971) World dynamics. Wright-Allen Press, CambridgeGoogle Scholar
  13. 13.
    Forrester JW (1975) Collected papers of Jay W. Forrester. Pegasus Communications, WalthamGoogle Scholar
  14. 14.
    Kampmann CE (1996) Feedback loop gains and system behavior. In: Proceedings of the 1996 international system dynamics conference Boston. System dynamics society, Albany, NY, pp 260–263Google Scholar
  15. 15.
    Liehr M, Grobler A, Klein M, Milling PM (2001) Cycles in the sky: understanding and managing business cycles in the airline market. Syst Dyn Rev 17(4):311–332CrossRefGoogle Scholar
  16. 16.
    Vensim, Ventana System, Inc., 2009Google Scholar
  17. 17.
    PowerSim, Powersim Software., 2012Google Scholar
  18. 18.
    iThink, isee systems, Inc., 2012Google Scholar
  19. 19.
    Bartlett G (2001) Systemic thinking, a simple thinking technique for gaining systemic focus. In: The international conference on thinking, breakthroughs 2001Google Scholar
  20. 20.
    Richmond B (1991) Systems thinking, four key questions. High performance systems, Inc., HanoverGoogle Scholar

Copyright information

© Springer-Verlag London 2012

Authors and Affiliations

  • Taeho Woo
    • 1
  1. 1.Department of Nuclear EngineeringSeoul National UniversitySeoulRepublic of Korea

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