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Communication dans un congrès
The automatic identification system of maritime accident risk using rule-based reasoning
Abstract : Current maritime traffic monitoring systems are not sufficiently adapted to the identification of maritime accident risk. It is very difficult for operators responsible for monitoring traffic to identify which vessels are at risk among all the shipping traffic displayed on their screen. They are overwhelmed by huge amount of kinematic ship data to be decoded. To improve this situation, this paper proposes a system for the automatic identification of maritime accident risk. The system consists of two modules. The first automates expert knowledge acquisition through the computerized exploration of historical maritime data, and the second provides a rule-based reasoning mechanism.
Littérature citée [6 références]
https://hal-mines-paristech.archives-ouvertes.fr/hal-00736167
Contributeur : Magalie Prudon <>
Soumis le : mardi 9 avril 2013 - 16:52:46
Dernière modification le : jeudi 24 septembre 2020 - 17:20:27
Archivage à long terme le : : vendredi 31 mars 2017 - 13:44:19
Contributeur : Magalie Prudon <>
Soumis le : mardi 9 avril 2013 - 16:52:46
Dernière modification le : jeudi 24 septembre 2020 - 17:20:27
Archivage à long terme le : : vendredi 31 mars 2017 - 13:44:19
Fichier
SOSE_2012_Idiri.pdf
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