An automatic seismic event identification method by sequentially discounting autoregressive (SDAR)

Author(s):  
Luchen Wang* ◽  
Ziqiu Xue
2018 ◽  
Vol 63 (11) ◽  
pp. 115015 ◽  
Author(s):  
Min Sun Lee ◽  
Seung Kwan Kang ◽  
Jae Sung Lee

2018 ◽  
Vol 72 (2) ◽  
pp. 307-320
Author(s):  
Luis Felipe Sánchez-Heres

Two pre-processes for Automatic Identification System (AIS) trajectories commonly reported in the maritime knowledge discovery literature are trajectory simplification and event identification. Both pre-processes reduce storage and computational expenses by reducing the number of data points to be used in an analysis. This paper presents an event identification and trajectory simplification method based on behaviour identification and translation. Trajectory segments deemed to correspond to coastal or ocean navigation are translated into equivalent passage plan segments; a succinct description of the movements and behaviour of the ship. As a trajectory simplification method, it provides two main advantages over commonly used trajectory simplification methods: more meaningful simplified trajectories with better encoding of basic behaviours and the possibility to retain interesting behaviours in full resolution. As an event identification method, it is capable of differentiating between normal ocean or coastal navigating behaviour and complex or interesting behaviour, such as pilotage, reaction to a traffic conflict, or an involuntary deviation from the passage plan.


2010 ◽  
Vol 2 (4) ◽  
pp. 414-432 ◽  
Author(s):  
Dale N. Anderson ◽  
George E. Randall ◽  
Rodney W. Whitaker ◽  
Stephen J. Arrowsmith ◽  
Marie D. Arrowsmith ◽  
...  

1996 ◽  
Vol 33 (5) ◽  
pp. 439-447 ◽  
Author(s):  
Yukiharu OHGA ◽  
Setsuo ARITA ◽  
Takaharu FUKUZAKI ◽  
Naoshi TANIKAWA ◽  
Yoshiyuki TAKANO ◽  
...  

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