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Toward An Optimisation Technique For Dynamically Monitored Environment

机译:寻求动态监控环境的优化技术

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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境评估程序。这是为了便于及时应对新出现的情况。更直接地说,实验室联合主任(JDL)的流程改进是一个元流程,用于评估和改进实时操作期间的数据融合任务。换句话说,这是一种优化技术,可以验证整体数据融合性能,并将其提高到决策资源的最高目标。本文讨论了优先排序的理论概念。要求分析团队保持动态变化的环境的最新动态,涉及不同领域,例如空中,海上,陆地,太空和网络空间。此外,它还演示了如何将各种跟踪活动同时按预定顺序进行排名的示例。具体来说,它为基于案例研究的场景提供了一种建模方案,其中实时系统报告了不同类别的优先事件。其次是用于评估情境感知(SWA)域优先级过程的性能指标。拟议的绩效指标已使用分析方法进行了设计和评估。建模方案以活动列表的形式用数学方式表示状态感知系统的输出。尽管有任何与特定于域的配置有关的约束,但这些方法允许评估过程对优先级划分过程进行严格的分析。在对三个不同的方案进行了三个级别的评估后,优先级能力得分(PCS)为不同的排名实例提供了合适的评分方案。事实上,从数据融合的角度来看,拟议的指标已充分评估了实时系统性能,并且它能够进行验证过程,以使操作员的注意力集中在与情境意识领域的优先级排序能力有关的任何问题上。

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