Browse > Article
http://dx.doi.org/10.3744/SNAK.2019.56.5.383

A Feasibility Study on the Probabilistic Method for the Naval Ship Infra-red Signature Management  

Park, Hyun-jung (Ship Infra-Red Signature Research Center of Dong-Eui University)
Kang, Dae-soo (Ship Infra-Red Signature Research Center of Dong-Eui University)
Cho, Yong-jin (Naval Architecture and Ocean Engineering of Dong-Eui University)
Publication Information
Journal of the Society of Naval Architects of Korea / v.56, no.5, 2019 , pp. 383-388 More about this Journal
Abstract
It is essential to reduce the Infra-red signature for increasing ship's survivability in ship design stage. However the ship's IR signature is quite sensitive to the maritime and atmosphere. Therefore, it is very important to select the marine meteorological data to be applied to the signature analysis. In this study, we selected the three meteorological sample sets from the population of the Korea Meteorological Administration's marine environment data in 2017. These samples were selected through the two-dimensional stratified sampling method, taking into account the geopolitical threats of the Korean peninsula and the effective area of the buoy. These sample sets were applied to three naval ships classified by their tonnage, and then the IR signature analysis was performed to derive the Contrast Radiant Intensity (CRI) values. Based on the CRI values, the validity of each sample set was determined by comparing Cumulative Distribution Function (CDF), and Probability Density Function (PDF). Also, we checked the degree of scattering in each sample set and determined the efficiency of analysis time and cost according to marine meteorological sample sets to confirm the possibility of a probabilistic method. Through this process, we selected the standard for optimization of marine meteorological sample for ship IR signature analysis. Based on this optimization sample, by applying probabilistic method to the management of IR signature for naval ships, the robust design is possible.
Keywords
Probability method; Infra-red signature; Contrast radiant intensity(CRI); Cumulative Distribution Function(CDF); Probability Density Function(PDF);
Citations & Related Records
Times Cited By KSCI : 4  (Citation Analysis)
연도 인용수 순위
1 Choi, J.H., Lee, J.S., Kim, J.H., Lee, S.H. & Kim, T.K., 2008. Infrared signature analysis of a ship of different atmosphere temperature and wind velocity. Journal of the Korea Institute of Military Science and Technology, 11(5), pp.84-91.
2 Cho, Y.J., 2009. A study on measuring procedure and analysis technique of ship infrared signature at sea. Journal of Ocean Engineering and Technology, 23(3), pp.53-58.
3 Cho, Y.J., 2018. A study on the sampling of ocean meteorological data to analyze signature of naval ships. Journal of the Korea Industrial Information Systems Research, 23(2), pp.19-28.   DOI
4 Cho, Y.J. & Jung, H.S., 2013. Study on effectiveness of ocean meteorological variables through sensitivity analysis of ship infrared signature. Journal of Ocean Engineering and Technology, 27(3), pp.69-42.   DOI
5 Han, S.I. & Cho, Y.J., 2014. Feasibility study on sampling ocean meteorological data using stratified method. Journal of Ocean Engineering and Technology, 28(3), pp.254-259.   DOI
6 Kim, J.H. & Kim, Y.S., 2011. A comparative study between measurement and prediction results of a naval ship infrared signature in the marine environment. Journal of the Society of Naval Architects of Korea, 48(4), pp.336-341.   DOI
7 Kim, Y.S., 2010. A study on effect of the solar elevation on the ship IR signature. Journal of Ocean Engineering and Technology, 24(3), pp.38-45.
8 Kim, Y,S., 2012. A study on the infrared signature of a naval ship under the marine climate. Journal of the Society of Naval Architects of Korea, 49(3), pp.264-272.   DOI
9 Vaitekunas., 2005. Validation of ship IR (v3.5): methodology and results. 1st International IR Target and Background Modeling Workshop, Ettlingen, Germany, 27-30 June 2005.