Prediction and Recognition of Piracy Efforts Using Collaborative Human-Centric Information Systems

Prediction and Recognition of Piracy Efforts Using Collaborative Human-Centric Information Systems

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Maritime piracy is the cause of widespread international concern, and the number of pirate attacks has increased substantially in recent years. Many commercial vessels are inherently vulnerable to attack because of their size and relative slowness, and technological improvements have resulted in smaller crews on large vessels, whilst the absence of enforcement agencies in international waters has served only to make pirates more daring. Collaborative human-centric information support systems can significantly improve the ability of every nation to predict and prevent pirate attacks, or to recognize the nature and size of an attack rapidly when prevention fails, and improve the collective response to an emergency. This book presents the papers delivered at the NATO Advanced Study Institute (ASI) Prediction and Recognition of Piracy Efforts Using Collaborative Human-Centric Information Systems, held in Salamanca, Spain, in September 2011. A significant observation from previous NATO Advanced Study Institutes and Workshops was that domain experts responsible for maritime security were not fully aware of the wide variety of technological solutions available to enhance their support systems, and that although technology experts have a general understanding of the requirements in security systems, they often lacked knowledge concerning the operational constraints affecting those who implement security procedures. This ASI involved both technology and domain experts, as well as students from related fields of study. It offered an opportunity for them to discuss the issues surrounding the prediction, recognition and deterrence of maritime piracy, and will be of interest to all those whose work is related to this internationally important issue.Identification, directly from intelligent sensors and/or operators, e.g. from Image Support Modules (ISM) for EO/IR or for a Synthetic Aperture Radar (SAR), from ... NATO STANAG 4420 and the American MIL- STD-2525C differ in the details. ... Automation levels, from fully manual to fully automatic, with all levels in between. 2.


Title:Prediction and Recognition of Piracy Efforts Using Collaborative Human-Centric Information Systems
Author: E. Bossé, E. Shahbazian, G. Rogova
Publisher:IOS Press - 2013-03-21
ISBN-13:

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