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Toward An Optimisation Technique For Dynamically Monitored Environment

机译:朝着动态监测环境的优化技术

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The data fusion community has introduced multiple procedures of situational assessments; this is to facilitate timely responses to emerging situations. More directly, the process refinement of the Joint Directors of Laboratories (JDL) is a meta-process to assess and improve the data fusion task during real-time operation. In other wording, it is an optimisation technique to verify the overall data fusion performance, and enhance it toward the top goals of the decision-making resources. This paper discusses the theoretical concept of prioritisation. Where the analysts team is required to keep an up to date with the dynamically changing environment, concerning different domains such as air, sea, land, space and cyberspace. Furthermore, it demonstrates an illustration example of how various tracking activities are ranked, simultaneously into a predetermined order. Specifically, it presents a modelling scheme for a case study based scenario, where the real-time system is reporting different classes of prioritised events. Followed by a performance metrics for evaluating the prioritisation process of situational awareness (SWA) domain. The proposed performance metrics has been designed and evaluated using an analytical approach. The modelling scheme represents the situational awareness system outputs mathematically, in the form of a list of activities. Such methods allowed the evaluation process to conduct a rigorous analysis of the prioritisation process, despite any constrained related to a domain-specific configuration. After conducted three levels of assessments over three separates scenario, The Prioritisation Capability Score (PCS) has provided an appropriate scoring scheme for different ranking instances, Indeed, from the data fusion perspectives, the proposed metric has assessed real-time system performance adequately, and it is capable of conducting a verification process, to direct the operator's attention to any issue, concerning the prioritisation capability of situational awareness domain.
机译:数据融合社区引入了多种情况评估;这是为了及时应对新兴地位。更直接的是,实验室联合董事(JDL)的过程细化是在实时操作期间评估和改进数据融合任务的Meta-Process。在其他措辞中,它是一种验证整体数据融合性能的优化技术,并增强朝向决策资源的最高目标。本文讨论了优先级的理论概念。如果分析师团队需要与动态变化的环境保持最新的环境,那么有关空中,海,土地,空间和网络空间等不同领域。此外,它演示了如何将各种跟踪活动同时排列成预定顺序的例证示例。具体地,它呈现了基于案例研究的模型方案,其中实时系统报告了不同类别的优先级事件。其次是一种用于评估情境感知(SWA)域的优先级化进程的性能指标。使用分析方法设计和评估了所提出的性能指标。建模方案表示数学上输出的情境感知系统,以活动列表的形式。尽管与与域特定配置有关的任何约束,但这些方法允许评估过程对优先级过程进行严格分析。在三个分离场景进行三个评估之后,优先级能力分数(PCS)为不同的排名实例提供了适当的评分方案,实际上,从数据融合的角度来看,所提出的指标已经充分评估了实时系统性能,并且它能够进行验证过程,以指示操作员对任何问题的关注,关于情境意识域的优先级排序能力。

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