NDLI: Using the Feature Selective Validation technique to compare data sets

Content Provider	IEEE Xplore Digital Library
Author	Archambeault, B. Duffy, A.P. Orlandi, A.
Copyright Year	2009
Description	Author affiliation: UAq EMC Laboratory, Dept of Electrical Engineering University of L'Aquila, L'Aquila, Italy (Orlandi, A.) \|\| School of Engineering and Technology, De Montfort University, Leicester, UK (Duffy, A.P.) \|\| IBM, Research Triangle Park, NC, USA (Archambeault, B.)
Abstract	The Feature Selective Validation (FSV) technique has been introduced [1–2] as a method to quantify the agreement between data sets to closely match how a human expert would rate the agreement [1–5]. While the origin of this was in validating numerical models against measurements for electromagnetic compatibility (EMC) applications, it is finding that it is being used in a number of other applications such as comparing antenna directivities. Recently, IEEE Standard 1597.1 calls for the use of FSV to quantify the agreement between simulation results and validation comparisons. FSV has a tiered approach to presenting the comparison data, thus providing a number of various ways to rate the comparisons and use the resulting validation output. This paper will show how to use the FSV results to gain meaningful comparisons.
Starting Page	248
Ending Page	253
File Size	338428
Page Count	6
File Format	PDF
ISBN	9781424442669
DOI	10.1109/ISEMC.2009.5284656
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-08-17
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Electromagnetic compatibility Histograms USA Councils Data engineering Laboratories Humans Numerical models Antenna measurements Electromagnetic measurements Feature Selective Validation Validation CEM
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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