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Record W2522300882 · doi:10.11159/eee16.120

A Two-Step MoM Procedure for the Analysis of Finite-Sized Tapered Slot Antennas

2016· article· en· W2522300882 on OpenAlexvenueno aff
Arzu Keskin, A. Köksal

Bibliographic record

VenueProceedings of the World Congress on Electrical Engineering and Computer Systems and Science · 2016
Typearticle
Languageen
FieldEngineering
TopicAntenna Design and Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsMethod of moments (probability theory)Computer scienceSlot antennaDirectional antennaAcousticsElectronic engineeringAntenna (radio)PhysicsMathematicsTelecommunicationsEngineeringStatistics

Abstract

fetched live from OpenAlex

An analysis of the Linearly Tapered Slot Antenna (LTSA) on a finite dielectric substrate has been carried out using a two step Method of Moments (MoM) procedure.In the first step of the analysis, the closed form Green's functions are obtained for the infinite dielectric substrate using the discrete complex image method.Galerkin type Method of Moments and RWG basis functions are used for the solution of the EFIE.In the second step, equivalent volume polarization currents in the substrate are used to modify the voltage vector for modeling the finite dielectric substrate region.The feed section of the antenna is modeled by a pulse excitation.Solving for the antenna currents with the modified excitation second time in air yields accurate results.Comparisons of radiation patterns for LTSAs on a finite dielectric substrate with HFFS results are presented and also a parametric study with respect to dimensions and permittivity are given.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.008
GPT teacher head0.204
Teacher spread0.196 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreMethods

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2016
Admission routes1
Has abstractyes

Explore more

Same venueProceedings of the World Congress on Electrical Engineering and Computer Systems and ScienceSame topicAntenna Design and AnalysisFrench-language works237,207