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Feature selective validation (FSV) for validation of computational electromagnetics (CEM). part I-the FSV method

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TLDR
A detailed analysis of the FSV method is presented, 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, and a set of applicability tests to judge the effectiveness of computer-based CEM validation techniques.
Abstract
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

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Citations
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Proceedings ArticleDOI

Statistical performance comparison between the FSV and the FS-NMI index

TL;DR: A statistical analysis of 40 different cases of study is carried out covering a wide range of real-life applications, showing that more effort is required to achieve generally coherent validation results between the FSV and the FSNMI.
Proceedings ArticleDOI

Unconditionally stable explicit method for the fast 3-D simulation of on-chip power distribution network

TL;DR: This work proposes the method which is explicit, but stable with no stability condition, and the proposed unconditionally-stable explicit method is accelerated by combining with an order reduction technique.
Journal ArticleDOI

Investigation of the electric field inside differential antenna-in-package

TL;DR: In this paper, a finite difference time domain model for the differential antenna-in-package (AiP) is presented based on it, the distributions of the electric field inside the package cavity with the whole ground and gridded ground are analyzed separately.
Journal ArticleDOI

The Feature Selective Validation Technique as Analysis Tool for Shielding Effectiveness of Slotted Enclosures

TL;DR: In this paper, a feature selective validation (FSV) technique is used as analysis tools to identify the influence of differences and/or imperfections in the results between measurement setup and simulation models for the evaluation of shielding effectiveness in slotted enclosures.
Journal ArticleDOI

Impact of Li-Ion Battery on System’s Overall Impedance and Received Signal Strength for Power Line Communication (PLC)

TL;DR: In this article , the authors present an empirical high-frequency investigation of the direct current (DC) bus and determine, via statistical tools including correlation coefficient (CC), root mean squared error (RMSE), and feature selective validation (FSV) method, the impedance and signal change impact on a possible communication link when fully charged cells are present or completely missing from the bus.
References
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Book

Principles of gestalt psychology

K. Koffka
TL;DR: Routledge is now reissuing this prestigious series of 204 volumes originally published between 1910 and 1965, including works by key figures such as C.G. Jung, Sigmund Freud, Jean Piaget, Otto Rank, James Hillman, Erich Fromm, Karen Horney and Susan Isaacs as discussed by the authors.
Journal ArticleDOI

Principles of Gestalt Psychology

K. Koffka
TL;DR: Routledge is now reissuing this prestigious series of 204 volumes originally published between 1910 and 1965, including works by key figures such as C.G. Jung, Sigmund Freud, Jean Piaget, Otto Rank, James Hillman, Erich Fromm, Karen Horney and Susan Isaacs as mentioned in this paper.
Journal ArticleDOI

A reliability factor for surface structure determinations by low-energy electron diffraction

TL;DR: In this article, a reduced r -factor r r = r r random where r random is the average value of r for randomly chosen pair of curves is calculated for more than 100 beams from 7 different surface structures and a direct relationship is established between the language of visual evaluation and numerical values of r ϵ.
Journal ArticleDOI

Surface structure refinements of 2HMoS2, 2HNbSe2 and W(100)p(2 × 1)O via new reliability factors for surface crystallography

TL;DR: In this paper, the authors define five reliability factors (R-factors) which evaluate the reliability of a given surface structure analysis by calculating numerical values based on the degree of agreement between calculated and measured low-energy electron diffraction (LEED) intensity-voltage (I-V ) curves.
Dissertation

Quantitative data validation (automated visual evaluations).

TL;DR: This thesis details the development of the Feature Selective Validation (FSV) method, which builds on the common language of engineers and scientists alike, employing categories which relate to human interpretations of comparisons, namely: 'ideal', 'excellent', 'very good', 'good', 'fair', 'poor' and 'extremely poor' .
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