Intelligent Decision Support for Marine Safety and Security Operations
With the increasing traffic in ports and its vulnerability to the illegal activities and threats, large volume surveillance has become a challenge. This problem is even more aggravated considering the fact that Canada has the largest coastline in the world and, consequently, managing the employment of resources under changing environment is an issue yet to be resolved. Therefore, an Intelligent Decision Support System for a Marine Security Operations Center (MSOC) is presented here. Considering the robustness and scalability of any such system, the goal is to improve coordination in emergency response services during critical situations, including detection and prevention of illegal activities. This can be done through system’s decentralized control structure, dynamic resource configuration management and task execution management under uncertainty. The proposed model is described in abstract functional and operational terms based on the Abstract State Machine (ASM) paradigm and the CoreASM open source tool environment for modeling dynamic properties of distributed mobile systems
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