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Mathematical Problems in Engineering
Volume 2015, Article ID 457386, 9 pages
Research Article

The Study on Detection Method of Water Vapor on Boundary Layer Based on Multiagent System

Nanjing University of Information Science & Technology, Jiangsu 210044, China

Received 12 July 2014; Revised 25 September 2014; Accepted 2 October 2014

Academic Editor: Wei Zhang

Copyright © 2015 Xu Dongdong 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. F. Fabry, “The spatial variability of moisture in the boundary layer and its effect on convection initiation: project-long characterization,” Monthly Weather Review, vol. 134, no. 1, pp. 79–91, 2006. View at Publisher · View at Google Scholar · View at Scopus
  2. B.-G. Jeon, Y. Moon, and T.-W. Ahn, “A study on 11 MHz ∼ 1537 MHz DCO using tri-state inverter for DAB application,” in Proceedings of the IEEE Region 10 Conference (TENCON '09), pp. 1–5, Singapore, January 2009. View at Publisher · View at Google Scholar
  3. J. Braun, C. Rocken, and R. Ware, “Validation of line-of-sight water vapor measurements with GPS,” Radio Science, vol. 36, no. 3, pp. 459–472, 2001. View at Publisher · View at Google Scholar · View at Scopus
  4. B. L. Cheong, R. D. Palmer, T. Y. Yu, and C. Curtis, “Refractivity measurements from ground clutter using the National Weather Radar Testbed phased array radar,” in Proceedings of the 32nd Conference on Radar Meteorology, Albuquerque, NM, USA, 2005.
  5. I. Martí, V. R. Tomás, L. A. García, and J. J. Martínez, “A multi-agent system for managing adverse weather situations on the road network,” Integrated Computer-Aided Engineering, vol. 17, no. 2, pp. 145–155, 2010. View at Publisher · View at Google Scholar · View at Scopus
  6. C. G. Someda, Electromagnetic Waves, CRC Press, New York, NY, USA, 2nd edition, 2006.
  7. J. Duan, M. Bevis, P. Fang et al., “GPS meteorology: direct estimation of the absolute value of precipitable water,” Journal of Applied Meteorology, vol. 35, no. 6, pp. 830–838, 1996. View at Publisher · View at Google Scholar · View at Scopus
  8. A. E. Niell, A. J. Coster, F. S. Solheim et al., “Comparison of measurements of atmospheric wet delay by radiosonde, water vapor radiometer, GPS, and VLBI,” Journal of Atmospheric and Oceanic Technology, vol. 18, no. 6, pp. 830–850, 2001. View at Google Scholar · View at Scopus
  9. P. Miidla, K. Rannat, and P. Uba, “A mathematical model of troposphere water vapor tomography,” in Proceedings of the 2nd International Conference on Environmental and Computer Science (ICECS '09), pp. 183–187, Dubai, UAE, December 2009. View at Publisher · View at Google Scholar · View at Scopus
  10. S. Padmanabhan, S. C. Reising, J. Vivekanandan, and F. Iturbide-Sanchez, “Retrieval of atmospheric water vapor density with fine spatial resolution using three-dimensional tomographic inversion of microwave brightness temperatures measured by a network of scanning compact radiometers,” IEEE Transactions on Geoscience and Remote Sensing, vol. 47, no. 11, pp. 3708–3721, 2009. View at Publisher · View at Google Scholar · View at Scopus
  11. R. J. Watson and C. J. Coleman, “The use of signals of opportunity for the measurement of atmospheric refractivity,” in Proceedings of the 4th European Conference on Antennas and Propagation (EuCAP '10), pp. 1–5, April 2010. View at Scopus
  12. W. Xu, R. Lv, X. Yu, Z. Yang, and L. Deng, “Synchronous orthogonal DAB spectrum layout scheme,” in Proceedings of the 2nd International Conference on Biomedical Engineering and Informatics (BMEI '09), October 2009. View at Publisher · View at Google Scholar · View at Scopus
  13. V. R. Tom and L. A. Garc, “A cooperative multiagent system for traffic management and control,” in Proceedings of the 4th International Joint Conference on Autonomous Agents and Multi-Agent Systems (AAMAS '05), pp. 52–59, Utrecht, The Netherlands, 2005.
  14. Z. Yan, D. Chakraborty, A. Misra, H. Jeung, and K. Aberer, “Sammple: detecting semantic indoor activities in practical settings using locomotive signatures,” in Proceedings of the International Symposium on Wearable Computers, pp. 37–40, Newcastle, UK, 2012.
  15. J. Zhu, P. Wu, X. Wang, and J. Zhang, “SenSec: mobile security through passive sensing,” in Proceedings of the International Conference on Computing, Networking and Communications (ICNC '13), pp. 1128–1133, IEEE, San Diego, Calif, USA, January 2013. View at Publisher · View at Google Scholar · View at Scopus
  16. D. Hasenfratz, O. Saukh, S. Sturzenegger, and L. Thiele, “Participatory air pollution monitoring using smartphones,” in Proceedings of the 1st International Workshop on Mobile Sensing: From Smartphones and Wearables to Big Data, 2012.
  17. M. Faulkner, M. Olson, R. Chandy, J. Krause, K. M. Chandy, and A. Krause, “The next big one: detecting earthquakes and other rare events from community-based sensors,” in Proceedings of the 10th International Conference on Information Processing in Sensor Networks (IPSN '11), pp. 13–24, Chicago, Ill, USA, April 2011. View at Scopus
  18. P. Wu, H.-K. Peng, J. Zhu, and Y. Zhang, “Senscare: semi-automatic activity summarization system for elderly care,” in International Conference on Mobile Computing, Applications, and Services (MobiCASE '11), 2011.
  19. M. Rinard and M. Lam, “The design, implementation, and evaluation of Jade,” ACM Transactions on Programming Languages and Systems, vol. 20, no. 3, pp. 483–545, 1998. View at Google Scholar
  20. M. Proctor, “Relational declarative programming with JBoss Drools,” in Proceedings of the 9th International Symposium on Symbolic and Numeric lgorithms for Scientific Computing (SYNASC '07), Timisoara, Romania, September 2007. View at Publisher · View at Google Scholar · View at Scopus