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A preliminary study of the influence of experiential backgrounds of respondents to a reference survey for verification of FSV

  • School of Electrical Engineering and Automation, Harbin Institute of Technology
  • De Montfort University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The Feature Selective Validation method was originally developed as a heuristic technique to compare data sets, broadly in the manner of a group of experts. However, little research has been undertaken on how less experienced engineers compare data and whether they are more-or-less similar to those experienced engineers. This paper considers a group of engineers and separates them into three groups based on their experience levels. It indicates that there is a difference in the groups' responses. While the numbers of individuals involved is not sufficient to claim statistical significance, there is an indication of a trend.

Original languageEnglish
Title of host publication2016 IEEE International Symposium on Electromagnetic Compatibility, EMC 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages571-575
Number of pages5
ISBN (Electronic)9781509014415
DOIs
StatePublished - 19 Sep 2016
Externally publishedYes
Event2016 IEEE International Symposium on Electromagnetic Compatibility, EMC 2016 - Ottawa, Canada
Duration: 25 Jul 201629 Jul 2016

Publication series

NameIEEE International Symposium on Electromagnetic Compatibility
Volume2016-September
ISSN (Print)1077-4076
ISSN (Electronic)2158-1118

Conference

Conference2016 IEEE International Symposium on Electromagnetic Compatibility, EMC 2016
Country/TerritoryCanada
CityOttawa
Period25/07/1629/07/16

Keywords

  • Computational Electromagnetics method (CEM)
  • Data comparison
  • Feature Selective Validation Method (FSV)
  • Validation
  • Visual assessment

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