Advertisement

An Adaptive Cyber-Physical System Framework for Cyber-Physical Systems Design Automation

  • U. John Tanik
  • Angelyn Begley
Conference paper

Abstract

This chapter on the dissertation of U. John Tanik [1] by describing an automated approach to Cyber-Physical Systems design utilizing an Adaptive Cyber-Physical System Framework (ACPSF). The ACPSF is based on the Artificial Intelligence Design Framework (AIDF) supported by a NASA training grant from 2004 to 2006 at UAB [2].

Keywords

Wireless Sensor Network Design Automation Free Space Optical Axiomatic Design Fault Tree Analysis 
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.
    Tanik, U., J. Artificial Intelligence Design Framework for Optical Backplane Engineering. Dissertation (2006).Google Scholar
  2. 2.
    Tanik, Urcun, UAB Dissertation, Chair: Gary Grimes.Google Scholar
  3. 3.
    Tanik, Urcun. Architecting Automated Design Systems. VDM Verlag, 2008.Google Scholar
  4. 4.
    CPS Steering Group. Cyber-Physical Systems Executive Summary. Mar. 2008. Web. 13 Sept. 2012. <http://precise.seas.upenn.edu/events/iccps11/_doc/CPS-Executive-Summary.pdf>.
  5. 5.
    UC Regents. Cyber-Physical Systems. <http://cyberphysicalsystems.org/>.
  6. 6.
    Rajkumar, Ragunathan (Raj), et al. “Cyber-Physical Systems: The Next Computing Revolution.” Proceedings of the 47th Design Automation Conference (2010): ACM Digital Library. Web. 15. Sept.2012Google Scholar
  7. 7.
    Fallah, Yaser, P., et al. “Design of cooperative vehicle safety systems based on tight coupling of communication, computing and physical vehicle dynamics.” Proceedings of the 1st ACM/IEEE International Conference on Cyber-Physical Systems (2010): ACMGoogle Scholar
  8. 8.
    Lee, Edward, A., Seshia, Sanjit, A. “An introductory textbook on cyber-physical systems.” WESE ‘10: Proceedings of the 2010 Workshop on Embedded Systems Education (2010): ACM digital Library. Web. 26.Sept.2012Google Scholar
  9. 9.
    Trevino, L., D. E. Paris, and M. Watson, 2005, A Framework for Integration of IVHM Technologies for Intelligent Integration for Vehicle Management, NASA Marshall Space Flight Center, Technical Report, Document ID: 20050162249, NTRS: 2005-05-17.Google Scholar
  10. 10.
    Schreiber, Guus, et al. “Knowledge Engineering and Management.”Massachusetts Institute of Technology (2000): MIT.Google Scholar
  11. 11.
    Mylopoulos, John, et al. “Building knowledge base management systems.” The VLDB Journal 5: 238 (1996): The VLDB JournalGoogle Scholar
  12. 12.
    Chung, Lawerence, Cooper, Kendra. “A knowledge-based COTS-aware requirements engineering approach.” Proceedings of the 14th international conference on Software engineering and knowledge engineering (2002): ACM.Google Scholar
  13. 13.
    Shin, Eun-Hwan. Estimation Techniques for Low-Cost Inertial Navigation.2005. University of Calgary. <http://www.ucalgary.ca/engo_webdocs/NES/05.20219.EHShin.pdf>
  14. 14.
    Gevarter, William, B. An Overview of Artificial Intelligence and Robotics. 1983. <http://www.dtic.mil/cgi-bin/GetTRDoc?Location=U2&doc=GetTRDoc.pdf&AD=ADA364025>.
  15. 15.
    Stoilos, G., Stamou, G., Pan, J. Z. 2010. “Fuzzy extensions of OWL: Logical properties and reduction to fuzzy description logics”. International Journal of Approximate Reasoning, Vol. 51 Issue 6, pp. 656–679.Google Scholar
  16. 16.
    Djelloul, Khalil. “From exponential to almost linear decomposability of finite or infinite trees.” Proceedings of the 2009 ACM symposium on Applied Computing (2009): ACM.Google Scholar
  17. 17.
    Hazewinkel, Michiel, et al. “Axiomatic method.”Encyclopedia of Mathematics (2001): SpringerGoogle Scholar
  18. 18.
    Axiomatic Design. Acclaro DFSS Summary. <http://www.dfss-software.com/dfss_summary.asp>
  19. 19.
    Kim, Ji, Eun, Mosse, Daniel. “Generic framework for design, modeling and simulation of cyber-physical systems.” SIGBED Review, Vol. 5 Issue 1 (2008): ACM.Google Scholar
  20. 20.
    Kim, Ji-Yeon, et al. “Abstracted CPS model: a model for interworking between physical system and simulator for CPS simulation (WIP).” Proceedings of the 2012 Symposium on Theory of Modeling and Simulation - DEVS Integrative M&S Symposium (2012): Society for Computer Simulation International.Google Scholar
  21. 21.
    Ma, Xuan, et al. “A cyber-physical system based framework for motor rehabilitation after stroke.” Proceedings of the 1st International Conference on Wireless Technologies for Humanitarian Relief (2011): ACM Digital Library. Web. 15.Sept.2012Google Scholar
  22. 22.
    Schreiber, G., H. Akkermans, A. Anjewierden, R. de Hoog, N. Shadbolt, W. Van de Velde, and B. Wielinga. Knowledge Engineering and Management, The Common- KADS Methodology. Cambridge, MA: MIT Press, 2000.Google Scholar
  23. 23.
    Kirk, A. G., D. V. Plant, M. H. Ayliffe, M. Châteauneuf, and F. Lacroix, 2003, “Design Rules for Highly Parallel Free-Space Optical Interconnects” IEEE journal of selected topics in quantum electronics, Vol. 9, No. 2, pp. 231–245.Google Scholar
  24. 24.
    John H. Glenn Research Center. Free-Space Optical Interconnect Employing VCSEL Diodes. Nov. 2009. <http://www.techbriefs.com/component/content/article/5920>.
  25. 25.
    Berger, Chrisoph, et al. High-density optical interconnects within large-scale systems 2003. <http://www.zurich.ibm.com/pdf/sys/berger_proc_spie_4942_pp222-235_2003.pdf>.
  26. 26.
    Tanik, U.J., G. J. Grimes, C. J. Sherman, V. P. Gurupur, 2005, “An Intelligent Design Framework for Optical Backplane Engineering,” Journal of Integrated Design and Process Science, Vol. 9, No. 1, pp.41–53.Google Scholar
  27. 27.
    Zhu, Ting. Research Interests. <http://www.cs.binghamton.edu/~tzhu/>.

Copyright information

© Springer Science+Business Media New York 2014

Authors and Affiliations

  1. 1.Department of Computer ScienceIndiana University–Purdue University IndianapolisFort WayneUSA

Personalised recommendations