Have a personal or library account? Click to login

PGSA-Based Localization Algorithm for Wireless Sensor Network

International Journal on Smart Sensing and Intelligent Systems
Volume 9 (2016): Issue 3 (January 2016)
By:
Yuqiang Qin and  Hui Ying  
Open Access
|Sep 2016

References

  1. Yuqiang Qin, Yudong Qi. Ensemble-SVM-based Model of Credit Rating System in Electronic Commerce, Bio Technology : An Indian Journal 2013, 8 (9): 923-932.
    Search in Google ScholarBack to article
  2. B. Hoadley, L. E. Rosenberger and A. Flint, “Algorithm for explaining credit scores’”, U.S. Patent 8,001,041, Aug 16, 2011.
    Search in Google ScholarBack to article
  3. Bellotti, T., & Crook, J., ‘‘Support vector machines for credit scoring and discovery of significant features”. Expert Systems with Applications, 36(2), 3302–3308,2009.10.1016/j.eswa.2008.01.005
    Search in Google ScholarBack to article
  4. Yuqiang Qin, Xueying Zhang. ‘‘Fuzzy Support Vector Machine-Based Emotional Optimal Algorithm in Spoken Chinese”. Journal of Computational and Theoretical Nanoscience, vol.9, no.10, pp.1715–1719,2012.
    Search in Google ScholarBack to article
  5. J. A. Feinstein, “Method and system for modeling future action impact in credit scoring”, U.S. Patent 7,970,676, Jun 28, 2011.
    Search in Google ScholarBack to article
  6. Yuqiang Qin, “Multiplex Temperature Monitoring System of Transformed”, CN Patent 2013205076084, October 6, 2013.
    Search in Google ScholarBack to article
  7. Chen, W., Ma, C., & Ma, L. ‘‘Mining the customer credit using hybrid support vector machine technique’’. Expert Systems with Applications, 36(4), 7611-7616, 2009.10.1016/j.eswa.2008.09.054
    Search in Google ScholarBack to article
  8. Elliott, R. J., & Filinkov, A. ‘‘A self tuning model for risk estimation’’. Expert Systems with Applications, 34(3), 1692-1697, 2008.10.1016/j.eswa.2007.01.044
    Search in Google ScholarBack to article
  9. Yuqiang Qin, Xueying Zhang. EEMD-based Speaker Emotional Analysis for Speech Signal[J]. Applied Mechanics and Materials.vol.121-126,p815-819,2012.10.4028/www.scientific.net/AMM.121-126.815
    Search in Google ScholarBack to article
  10. Quah, J. T. S., & Sriganesh, M. ‘‘Real-time credit card fraud detection using computational intelligence’’. Expert Systems with Applications, 35(4), 1721-1732.,2008.10.1016/j.eswa.2007.08.093
    Search in Google ScholarBack to article
  11. J. P. Milana, “Data transaction profile compression”, U.S. Patent 7,853,526, Dec 14, 2010.
    Search in Google ScholarBack to article
  12. Yu, L., Wang, S. Y., & Lai, K. K. ‘‘Credit risk assessment with a multistage neural network ensemble learning approach’’. Expert Systems with Applications, 34(2), 1434-1444, 2008.10.1016/j.eswa.2007.01.009
    Search in Google ScholarBack to article
  13. Yu, L., Wang, S. Y., Lai, K. K., & Zhou, L. G.. ‘‘Bio-inspired credit risk analysis computational intelligence with support vector machines’’. Berlin: Springer-Verlag,2008.10.1007/978-3-540-77803-5
    Search in Google ScholarBack to article
  14. Yuqiang Qin, Xueying Zhang. ‘‘MSF-Based Speaker Automatic Emotional Recognition in Continuous Chinese Mandarin’’. Procedia Engineering, vol.15, no.11, pp.2229-2233, 2011.
    Search in Google ScholarBack to article
  15. DeS. Bowman and C. Duane, “Detecting, Classifying, and Tracking Abnormal Data in a Data Stream”, U.S. Patent 8306931, November6, 2012.
    Search in Google ScholarBack to article
  16. Yuqiang Qin, and Yudong Qi. ‘‘EEMD-Based Speaker Automatic Emotional Recognition in Chinese Mandarin’’. Appl. Math. Inf. Sci. 8, No. 2, 1-8,2014.10.12785/amis/080219
    Search in Google ScholarBack to article
  17. Bashir Muhammad and Syed Abd Rahman Abu-Bakar. FACE DETECTION IN PROFILE VIEWS USING FAST DISCRETE CURVELET TRANSFORM (FDCT) AND SUPPORT VECTOR MACHINE (SVM), International Journal on Smart Sensing and Intelligent Systems, vol. 9, no. 1, pp. 108-123, 2016.10.21307/ijssis-2017-862
    Search in Google ScholarBack to article
  18. Nuzaihan Mhd Yusof, Norlela Ishak, Ramli Adnan, Yahaya Md. Sam, Mazidah Tajjudin and Mohd Hezri Fazalul Rahiman. International Journal on Smart Sensing and Intelligent Systems, vol. 9, no. 1, pp. 32-48, 2016.10.21307/ijssis-2017-858
    Search in Google ScholarBack to article
  19. Yan He and Benxian Xiao. RESEARCH ON POWER CHARACTERISTIC OF THE ELECTRIC FORKLIFT EPS SYSTEM, International Journal on Smart Sensing and Intelligent Systems, vol. 8, no. 3, pp. 1768-1785, 2015.
    Search in Google ScholarBack to article
  20. Xing Haihua, Yu Xianchuan, Hu Dan1 and Dai Sha, SENSITIVITY ANALYSIS OF HIERARCHICAL HYBRID FUZZY - NEURAL NETWORK. International Journal on Smart Sensing and Intelligent Systems, vol. 8, no. 3, pp. 1837-1854, 2015.
    Search in Google ScholarBack to article
DOI: https://doi.org/10.21307/ijssis-2017-918 | Journal eISSN: 1178-5608
Journal RSS Feed
Language: English
Page range: 1287 - 1304
Submitted on: Mar 25, 2016
Accepted on: Jul 10, 2016
Published on: Sep 1, 2016
Published by: Professor Subhas Chandra Mukhopadhyay
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year
Keywords:
wireless sensor network (WSN),
localization,
PSGA,
simulated annealing
Related subjects:
Engineering,
Introductions and overviews,
Engineering, other

© 2016 Yuqiang Qin, Hui Ying, published by Professor Subhas Chandra Mukhopadhyay
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Previous articleVolume 9 (2016): Issue 3 (January 2016)Next article