Soft-data-driven resource management for concurrent maritime security operations
- Resource Type
- Conference
- Authors
- Plachkov, Alex; Groza, Voicu; Inkpen, Diana; Petriu, Emil; Abielmona, Rami; Harb, Moufid; Falcon, Rafael
- Source
- 2017 IEEE Conference on Cognitive and Computational Aspects of Situation Management (CogSIMA) Cognitive and Computational Aspects of Situation Management (CogSIMA), 2017 IEEE Conference on. :1-7 Mar, 2017
- Subject
- Communication, Networking and Broadcast Technologies
Computing and Processing
General Topics for Engineers
Robotics and Control Systems
Signal Processing and Analysis
Transportation
Sensor phenomena and characterization
Radar tracking
Monitoring
Measurement
Conferences
Security
course of action recommendation
decision support systems
multi-criteria decision making
high-level information fusion
hard-soft data fusion
- Language
- ISSN
- 2379-1675
Enhanced Course of Action (CoA) generation is a fundamental component of effective risk management and mitigation. This paper presents an extension of a system capable of integrating physics-based (hard) and people-generated (soft) data, for the purpose of achieving increased situational assessment and automatic CoA generation upon risk identification. The system's capabilities are enhanced through added support for managing multiple, concurrently unfolding risky events (situations) with the goal of attaining superior resource management and thus reducing the overall security operation costs. The CoA generation process is evaluated through a series of performance measures. The proposed conceptualization is validated via an elaborate experiment situated in the maritime world.