Table of Contents Author Guidelines Submit a Manuscript
Mathematical Problems in Engineering
Volume 2014, Article ID 859157, 5 pages
http://dx.doi.org/10.1155/2014/859157
Research Article

A Novel Mathematical Formula for Retrieval Algorithm

1College of Engineering, Bohai University, Jinzhou 121013, China
2Department of Engineering, Faculty of Engineering and Science, The University of Agder, 4898 Grimstad, Norway
3College of Computer Science, Beijing University of Technology, Beijing 100124, China

Received 6 January 2014; Accepted 23 January 2014; Published 26 March 2014

Academic Editor: Xudong Zhao

Copyright © 2014 Yuping Qin et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. T. C. Hoad and J. Zobel, “Methods for identifying versioned and plagiarized documents,” Journal of the American Society for Information Science and Technology, vol. 54, no. 3, pp. 203–215, 2003. View at Publisher · View at Google Scholar · View at Scopus
  2. A. Chowdhury, O. Frieder, D. Grossman, and M. C. McCabe, “Collection statistics for fast duplicate document detection,” ACM Transactions on Information Systems, vol. 20, no. 2, pp. 171–191, 2002. View at Publisher · View at Google Scholar · View at Scopus
  3. J. Zobel and A. Moffat, “Exploring the similarity space,” ACM SIGIR Forum, vol. 32, no. 1, pp. 18–34, 1998. View at Google Scholar · View at Scopus
  4. A. Si, H. V. Leong, and R. W. Lau, “CHECK: a document plagiarism detection system,” in Proceedings of the ACM Symposium on Applied Computing, pp. 70–77, 1997.
  5. J.-P. Bao, J.-Y. Shen, X.-D. Liu, and Q.-B. Song, “Survey on natural language text copy detection,” Journal of Software, vol. 14, no. 10, pp. 1753–1760, 2003. View at Google Scholar · View at Scopus
  6. J.-J. Zhao and X.-G. Hu, “A way to judge plagiarism in academic papers based on word-frequency statistics of paragraphs,” Computer Technology and Development, vol. 19, pp. 231–233, 2009. View at Google Scholar
  7. N. Kang, A. Gelbukh, and S. Han, “PPChecker: plagiarism pattern checker in document copy detection,” in Text, Speech and Dialogue, vol. 4188 of Lecture Notes in Computer Science, pp. 661–667, 2006. View at Google Scholar · View at Scopus
  8. Y.-S. Guo, L. Huang, C.-P. Liu, and X. Jiang, “An automatic mathematical expression understanding system,” in Proceedings of the 9th International Conference on Document Analysis and Recognition (ICDAR '07), pp. 719–723, Parana, Brazil, September 2007. View at Publisher · View at Google Scholar · View at Scopus
  9. S. Yin, S. X. Ding, A. H. A. Sari, and H. Hao, “Data-driven monitoring for stochastic systems and its application on batch process,” International Journal of Systems Science, vol. 44, no. 7, pp. 1366–1376, 2013. View at Publisher · View at Google Scholar · View at Zentralblatt MATH
  10. S. Yin, S. X. Ding, A. Haghani, H. Hao, and P. Zhang, “A comparison study of basic data-driven fault diagnosis and process monitoring methods on the benchmark Tennessee Eastman process,” Journal of Process Control, vol. 22, no. 9, pp. 1567–1581, 2012. View at Publisher · View at Google Scholar
  11. S. Yin, H. Luo, and S. Ding, “Real-time implementation of fault-tolerant control systems with performance optimization,” IEEE Transactions on Industrial Electronics, vol. 61, no. 5, pp. 2402–2411, 2013. View at Publisher · View at Google Scholar
  12. S. Yin, G. Wang, and H. R. Karimi, “Data-driven design of robust fault detection system for wind turbines,” Mechatronics, 2013. View at Publisher · View at Google Scholar
  13. S. Yin, X. Yang, and H. R. Karimi, “Data-driven adaptive observer for fault diagnosis,” Mathematical Problems in Engineering, vol. 2012, Article ID 832836, 21 pages, 2012. View at Publisher · View at Google Scholar · View at Zentralblatt MATH
  14. X. Zhao, X. Liu, S. Yin, and H. Li, “Improved results on stability of continuous-time switched positive linear systems,” Automatica, 2013. View at Publisher · View at Google Scholar
  15. X. Zhao, P. Shi, and L. Zhang, “Asynchronously switched control of a class of slowly switched linear systems,” Systems and Control Letters, vol. 61, no. 12, pp. 1151–1156, 2012. View at Publisher · View at Google Scholar · View at Zentralblatt MATH
  16. X. Zhao, L. Zhang, and P. Shi, “Stability of a class of switched positive linear time-delay systems,” International Journal of Robust and Nonlinear Control, vol. 23, no. 5, pp. 578–589, 2013. View at Publisher · View at Google Scholar
  17. X. Zhao, L. Zhang, P. Shi, and H. Karimi, “Robust control of continuous-time systems with state-dependent uncertainties and its application to electronic circuits,” IEEE Transactions on Industrial Electronics, 2013. View at Publisher · View at Google Scholar
  18. H.-J. Lee and J.-S. Wang, “Design of a mathematical expression recognition system,” in Proceedings of the 3rd International Conference on Document Analysis and Recognition, vol. 2, pp. 1084–1087, Montreal, Canada, August 1995. View at Publisher · View at Google Scholar
  19. R. J. Fateman, T. Tokuyasu, B. P. Berman, and N. Mitchell, “Optical character recognition and parsing of typeset mathematics,” Journal of Visual Communication and Image Representation, vol. 7, no. 1, pp. 2–15, 1996. View at Publisher · View at Google Scholar · View at Scopus
  20. R. Zanibbi, D. Blostein, and J. R. Cordy, “Recognizing mathematical expressions using tree transformation,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 24, no. 11, pp. 1455–1467, 2002. View at Publisher · View at Google Scholar · View at Scopus
  21. D. Martín-Albo, V. Romero, and E. Vidal, “An experimental study of pruning techniques in handwritten text recognition systems,” in Pattern Recognition and Image Analysis, pp. 559–566, Springer, New York, NY, USA, 2013. View at Google Scholar
  22. H. M. Twaakyondo and M. Okamoto, “Structure analysis and recognition of mathematical expressions,” in Proceedings of the 3rd International Conference on Document Analysis and Recognition, vol. 1, pp. 430–437, Montreal, Canada, August 1995. View at Publisher · View at Google Scholar
  23. J. M. Jin, H. Y. Jiang, and Q. R. Wang, “Mathematical expression recognition system: MatheReader,” Chinese Journal of Computers, vol. 29, no. 11, pp. 2018–2026, 2006. View at Google Scholar · View at Scopus