Performance Evaluation for Process Refinement Stage of SWA System

Orabi Shurrab, I. Awan
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引用次数: 3

Abstract

In periodic manner the analysts teams are in the process of designing, updating and verifying the situational awareness SWA system. Initially, at the designing stage the risk assessment model has little information about the dynamic environment. Hence, any missing information can directly impact the situational assessment capabilities. With this in mind, researchers relied on various performance metrics in order to verify how well they were doing in assessing different situations. In fact, before measuring the ranking capabilities of the SWA system, the underlying performance metrics should be examined against its intended purpose. In this paper, we have conducted quality based evaluations for the performance metrics, namely "The Ranking Capability Score". The results obtained showed that the proposed performance metrics have scaled well over a number of scenarios. Indeed, from the data fusion perspectives the underlying metrics have adequately satisfied different SWA system needs and configurations.
SWA系统过程细化阶段的性能评价
分析团队以定期的方式设计、更新和验证态势感知SWA系统。最初,在设计阶段,风险评估模型对动态环境的信息很少。因此,任何缺失的信息都会直接影响态势评估能力。考虑到这一点,研究人员依靠各种性能指标来验证他们在评估不同情况时的表现。实际上,在度量SWA系统的排序能力之前,应该根据其预期目的检查底层性能指标。在本文中,我们对性能度量进行了基于质量的评估,即“排名能力得分”。所获得的结果表明,所建议的性能指标可以很好地扩展到许多场景。实际上,从数据融合的角度来看,底层指标已经充分满足了不同的SWA系统需求和配置。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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