Optimizing search and rescue plan for the distressed planes calls for analysis of the debris location as well as a systematic way of searching. The searching plan consists of three main parts: simulating possible trajectory, produce a probability density map of the debris' location and generating an optimal searching plan using Dinkelbach's algorithm. Besides, the Bayesian inference is discussed to update the probability density map of the objects' location.
| Published in | International Journal of Statistical Distributions and Applications (Volume 1, Issue 1) |
| DOI | 10.11648/j.ijsd.20150101.13 |
| Page(s) | 12-18 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2015. Published by Science Publishing Group |
Optimal Search and Rescue Plan, Dinkelbach's Algorithm, Bayesian Inference, Probability Density Map
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APA Style
Lu Yadong, Zhou Ya. (2015). Optimal Search and Rescue Model: Updating Probability Density Map of Debris Location by Bayesian Method. International Journal of Statistical Distributions and Applications, 1(1), 12-18. https://doi.org/10.11648/j.ijsd.20150101.13
ACS Style
Lu Yadong; Zhou Ya. Optimal Search and Rescue Model: Updating Probability Density Map of Debris Location by Bayesian Method. Int. J. Stat. Distrib. Appl. 2015, 1(1), 12-18. doi: 10.11648/j.ijsd.20150101.13
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Download@article{10.11648/j.ijsd.20150101.13,
author = {Lu Yadong and Zhou Ya},
title = {Optimal Search and Rescue Model: Updating Probability Density Map of Debris Location by Bayesian Method},
journal = {International Journal of Statistical Distributions and Applications},
volume = {1},
number = {1},
pages = {12-18},
doi = {10.11648/j.ijsd.20150101.13},
url = {https://doi.org/10.11648/j.ijsd.20150101.13},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijsd.20150101.13},
abstract = {Optimizing search and rescue plan for the distressed planes calls for analysis of the debris location as well as a systematic way of searching. The searching plan consists of three main parts: simulating possible trajectory, produce a probability density map of the debris' location and generating an optimal searching plan using Dinkelbach's algorithm. Besides, the Bayesian inference is discussed to update the probability density map of the objects' location.},
year = {2015}
}
TY - JOUR T1 - Optimal Search and Rescue Model: Updating Probability Density Map of Debris Location by Bayesian Method AU - Lu Yadong AU - Zhou Ya Y1 - 2015/09/16 PY - 2015 N1 - https://doi.org/10.11648/j.ijsd.20150101.13 DO - 10.11648/j.ijsd.20150101.13 T2 - International Journal of Statistical Distributions and Applications JF - International Journal of Statistical Distributions and Applications JO - International Journal of Statistical Distributions and Applications SP - 12 EP - 18 PB - Science Publishing Group SN - 2472-3509 UR - https://doi.org/10.11648/j.ijsd.20150101.13 AB - Optimizing search and rescue plan for the distressed planes calls for analysis of the debris location as well as a systematic way of searching. The searching plan consists of three main parts: simulating possible trajectory, produce a probability density map of the debris' location and generating an optimal searching plan using Dinkelbach's algorithm. Besides, the Bayesian inference is discussed to update the probability density map of the objects' location. VL - 1 IS - 1 ER -
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