COMMAND TAG-BASED AUTOMATIC DIAGNOSIS FOR COMPUTER SYSTEM TROUBLES

Takao Shimomura

References

  1. [1] R.K. Rayudu, A knowledge-based architecture for distributedfault analysis in power networks, Engineering Applications ofArtificial Intelligence, 23(4), 2010, 514–525.
  2. [2] J. Xu, Rule-based automatic software performance diagnosis andimprovement, Performance Evaluation, 67(8), 2010, 585–611.
  3. [3] J.S. Liang, A web-based automotive refrigeration troubleshoot-ing system applying knowledge engineering approach, Comput-ers in Industry, 61(1), 2010, 29–43.
  4. [4] Y.-H. Tung, S.-S. Tseng, J.-F. Weng, T.-P. Lee, A.Y. Liao,and W.-N. Tsai, A rule-based CBR approach for expert findingand problem diagnosis, Expert Systems with Applications, 37(3),2010, 2427–2438.
  5. [5] M. Desbazeille, R. Randall, F. Guillet, M.E. Badaoui, andC. Hoisnard, Model-based diagnosis of large diesel enginesbased on angular speed variations of the crankshaft, MechanicalSystems and Signal Processing, 24(5), 2010, 1529–1541.
  6. [6] Microsoft Windows Troubleshooters, http://support.microsoft.com/, (2007).
  7. [7] T. Shimomura, K. Ikeda, and M. Takahashi, web-based trou-bleshooter generation for system administration, 2009 WorldCongress on Computer Science and Information Engineering,Los Angeles, 2009, 760–764.
  8. [8] SunMicrosystems,Inc.,JavaServerpagestechnology, http://java.sun.com/products/jsp, 2006.

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