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dc.contributor.advisorNot named
dc.contributor.authorShurrab, Orabi M.F.
dc.date.accessioned2018-05-10T13:29:43Z
dc.date.available2018-05-10T13:29:43Z
dc.date.issued2016
dc.identifier.urihttp://hdl.handle.net/10454/15851
dc.description.abstractIn a dynamically monitored environment the analyst team need timely and accurate information to conduct proactive action over complex situations. Typically, there are thousands of reported activities in a real time operation, therefore steps are taken to direct the analyst’s attention to the most important activity. The data fusion community have introduced the information fusion model, with multiple situational assessments. Each process lends itself to ranking the most important activities into a predetermined order. Unfortunately, the capability of a real time system can be hindered by the knowledge limitation problem, particularly when the underlying system is processing multiple sensor information. Consequently, the situational awareness domains may not rank the identified situation as perfect, as desired by the decision-making resources. This thesis presents advanced research carried out to evaluate the ranking capability of information from the situational awareness domains: perception, comprehension and projection. The Ranking Capability Score (RCS) has been designed for evaluating the prioritisation process. The enhanced (RCS) has been designed for addressing the knowledge representation problem in the user system relation under a situational assessment where the proposed number of tracking activities are dynamically shifted. Finally, the Scheduling Capability Score was designed for evaluating the scheduling capability of the situational awareness system. The proposed performance metrics have been successful in fulfilling their objectives. Furthermore, they have been validated and evaluated using an analytical approach, through conducting a rigorous analysis of the prioritisation and scheduling processes, despite any constraints related to a domain-specific configuration.en_US
dc.language.isoenen_US
dc.rights<a rel="license" href="http://creativecommons.org/licenses/by-nc-nd/3.0/"><img alt="Creative Commons License" style="border-width:0" src="http://i.creativecommons.org/l/by-nc-nd/3.0/88x31.png" /></a><br />The University of Bradford theses are licenced under a <a rel="license" href="http://creativecommons.org/licenses/by-nc-nd/3.0/">Creative Commons Licence</a>.eng
dc.subjectSituational awarenessen_US
dc.subjectPerformance metricsen_US
dc.subjectData fusionen_US
dc.subjectOperational researchen_US
dc.subjectProcess refinementen_US
dc.subjectRanking capabilityen_US
dc.subjectSituational awareness system (SWA)en_US
dc.subjectReal time operationen_US
dc.subjectModellingen_US
dc.titleA Modelling approach for evaluating the ranking capability of Situational Awareness System in real time operation. Modelling, evaluating and quantifying different situational assessment in real time operation, using an analytical approach for measuring the ranking capability of SWA systemen_US
dc.type.qualificationleveldoctoralen_US
dc.publisher.institutionUniversity of Bradfordeng
dc.publisher.departmentFaculty of Engineering and Informaticsen_US
dc.typeThesiseng
dc.type.qualificationnamePhDen_US
dc.date.awarded2016
refterms.dateFOA2018-07-29T01:40:09Z


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