Feature selective validation (FSV) for validation of computational electromagnetics (CEM). Part I - The FSV method
Feature selective validation (FSV) for validation of computational electromagnetics (CEM). Part I - The FSV method
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DOI：
10.1109/temc.2006.879358
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发表时间：
2006-08-01
影响因子：
2.1
通讯作者：
Woolfson, Malcolm S.
中科院分区：
文献类型：
--
作者：
Duffy, Alistair P.;Martin, Anthony J. M.;Woolfson, Malcolm S.
计算电磁学（CEM）验证的目标是为社区提供一种简单的计算方法，可用于预测电磁兼容性（EMC）数据的评估，因为它将由个人或工程师团队进行。能够做到这一点的好处包括量化迄今为止只进行定性评估的数据比较，提供跟踪模型迭代之间差异的能力，并提供一种捕获群体和工作团队意见的可变性和范围的方法。特征选择性验证（FSV）技术在实现这一目标方面表现出很大的潜力。本文提出了一个详细的分析FSV方法，它牢固地设置在以前的比较技术的背景下，它表明图形化呈现的数据和视觉感知的心理验证之间的关系。一组适用性测试，以判断基于计算机的CEM验证技术的有效性也提出了。本文随后详细比较了视觉评估，这是在第二部分。
A goal for the validation of computational electromagnetics (CEM) is to provide the community with a simple computational method that can be used to predict the assessment of electromagnetic compatibility (EMC) data as it would be undertaken by individuals or teams of engineers. The benefits of being able to do this include quantifying the comparison of data that has hitherto only been assessed qualitatively, to provide the ability to track differences between model iterations, and to provide a means of capturing the variability and range of opinions of groups and teams of workers. The feature selective validation (FSV) technique shows great promise for achieving this goal. This paper presents a detailed analysis of the FSV method, setting it firmly in the context of previous comparison techniques; it suggests the relationship between validation of graphically presented data and the psychology of visual perception. A set of applicability tests to judge the effectiveness of computer-based CEM validation techniques is also proposed. This paper is followed by a detailed comparison with visual assessment, which is presented in Part II.