Virtual Simulation of the Maritime Search Operation for Drowning Crew

Author(s):  
Zizhao Wang ◽  
Hu Liu ◽  
Xiang Ji ◽  
Yuge Li ◽  
Yongliang Tian ◽  
...  
2011 ◽  
Vol E94-B (11) ◽  
pp. 2961-2968
Author(s):  
Takahide MIZUNO ◽  
Kousuke KAWAHARA ◽  
Kazuhiko YAMADA ◽  
Yukio KAMATA ◽  
Tetsuya YAMADA ◽  
...  

2014 ◽  
Author(s):  
Travis Cannon ◽  
Keith Athmer ◽  
Richard Rodgers
Keyword(s):  

2021 ◽  
Vol 48 (4) ◽  
pp. 45-48
Author(s):  
Shunsuke Higuchi ◽  
Junji Takemasa ◽  
Yuki Koizumi ◽  
Atsushi Tagami ◽  
Toru Hasegawa

This paper revisits longest prefix matching in IP packet forwarding because an emerging data structure, learned index, is recently presented. A learned index uses machine learning to associate key-value pairs in a key-value store. The fundamental idea to apply a learned index to an FIB is to simplify the complex longest prefix matching operation to a nearest address search operation. The size of the proposed FIB is less than half of an existing trie-based FIB while it achieves the computation speed nearly equal to the trie-based FIB. Moreover, the computation speed of the proposal is independent of the length of IP prefixes, unlike trie-based FIBs.


Author(s):  
J Scott Thompson ◽  
Douglas D Hodson

Simulation approaches generally fall into two categories: discrete time or discrete event. For military modeling and simulation needs, the two approaches typically align with virtual simulation, which implies human interaction with the simulation program, and constructive simulation, which implies no human interaction. The Air Force Research Laboratory develops and distributes AFSIM (Advanced Framework for Simulation, Integration, and Modeling) to a user community that uses both virtual and constructive simulation. This paper documents the software design and primary algorithms that provide AFSIM’s support for both modes, which is termed a hybrid simulation.


2021 ◽  
Vol 1848 (1) ◽  
pp. 012120
Author(s):  
Wanfeng Chang ◽  
Qingyong Zhang ◽  
Huiwen Xia ◽  
Yang Yang

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