The Determination of Search Pattern after an Air Crash Based on the Bayesian Analysis

DOI

10.2991/icmmct-17.2017.303How to use a DOI?

Keywords

Search Pattern, Bayesian Analysis, Harvest Matrix

Abstract

We divide the whole search region aimed to get the two smaller semicircle regions and the bigger central rectangle region. As to the smaller semicircle regions, we adopt a spiral search path. Namely, use two search planes parallel to the ocean along the concentric semicircle to go round till nish searching the speci ed region. To the central region, we focus on con rming a rational search mode. So we rstly divide it into several cells and number them. Then, we synthesize the random probability of the landing point and the success probability impacted by the depth there and then determine the region with maximum probability.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Ran Li
PY  - 2017/04
DA  - 2017/04
TI  - The Determination of Search Pattern after an Air Crash Based on the Bayesian Analysis
BT  - Proceedings of the 2017 5th International Conference on Machinery, Materials and Computing Technology (ICMMCT 2017)
PB  - Atlantis Press
SP  - 1611
EP  - 1614
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmmct-17.2017.303
DO  - 10.2991/icmmct-17.2017.303
ID  - Li2017/04
ER  -