Name
Abstract | ||
|---|---|---|
The paper presents 3 key technologies used in an integrated maritime reasoning and monitoring system [1]. These technologies fuse maritime data for decision support in the martime security domain. They support monitoring of scenarios of interest such as terrorist attacks or piracy incidents, and alert operators when such scenarios are assessed likely to happen. These 3 technologies are: a. Dynamic Bayesian Reasoning & Advanced Intelligent Networks (D'Brain), a reasoning system based on Bayesian networks. Causal and probabilistic information about scenarios of interest are structured as Bayesian networks, in which variables are set according to the interpretation of incoming situation information. The system thus provides a systematic approach to modelling and monitoring for scenarios of interest in the maritime situation. b. Graylist Ranking, a ranking technique to order entities based on their structural relationship with black-listed entities. The ranked list of entities could then be used to prioritize further investigation efforts into higher ranking entities which are considered more suspicious. c. Trajectory Analysis using a nonparametric Bayesian model, Dual Hierarchical Dirichlet Processes (Dual-HDP) [2]. It models the activity patterns (norm) of entities in motion. With the norm established, anomaly detection could be performed by evaluating how much each track deviates from the norm. |
Year | Venue | Keywords |
|---|---|---|
2012 | Fusion | dual-hdp,entity activity pattern norm,marine safety,belief networks,martime security domain,scenario modeling,marine engineering,operator alerts,decision support,dynamic reasoning,anomaly detection,decision making,inference mechanisms,structural relationship,d'brain,maritime data fusion,computerised monitoring,probabilistic information,situation information,nonparametric bayesian model,causal information,trajectory analysis,terrorist attacks,nonparametric statistics,trending,systematic approach,entity list ranking,integrated maritime monitoring system,intelligent networks,scenario-of-interest,dual-hierarchical dirichlet processes,integrated maritime reasoning system,graylist ranking technique,piracy incidents,relationship analysis,dynamic bayesian reasoning-and-advanced intelligent networks,sensor fusion,probability,black-listed entity ordering,bayesian methods,cognitive science,computational modeling,noise measurement,knowledge engineering,cognition |
Field | DocType | ISBN |
Security domain,Bayesian inference,Ranking,Computer science,Decision support system,Maritime security,Bayesian network,Artificial intelligence,Probabilistic logic,Reasoning system,Machine learning | Conference | 978-0-9824438-4-2 |
Citations | PageRank | References |
0 | 0.34 | 4 |
Authors | ||
9 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Gee Wah Ng | 1 | 196 | 22.63 |
| Loo-Nin Teow | 2 | 103 | 17.29 |
| Kai Chin Yong | 3 | 0 | 0.34 |
| Samuel Mui | 4 | 0 | 0.34 |
| Angel Koh | 5 | 0 | 0.34 |
| Wen Haw Chong | 6 | 5 | 1.51 |
| Kheng Hwee Tan | 7 | 1 | 1.02 |
| Yuan Sin Tan | 8 | 36 | 5.74 |
| Wei Shan Belinda Toh | 9 | 3 | 0.81 |