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Record W2168116576 · doi:10.1109/eucap.2012.6206404

Analysis of monopole antenna over a ground plane by a Meshless Local Petrov-Galerkin method

2012· article· en· W2168116576 on OpenAlexfundno aff
Ramon Dornelas Soares, Renato C. Mesquita, Fernando J. S. Moreira

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicNumerical methods in engineering
Canadian institutionsnot available
FundersForeign Affairs and International Trade CanadaUniversidade Federal de Minas GeraisCoordenação de Aperfeiçoamento de Pessoal de Nível Superior
KeywordsPetrov–Galerkin methodRegularized meshless methodGalerkin methodMoving least squaresSingular boundary methodCollocation (remote sensing)AdmittanceRotational symmetryMeshfree methodsGround planeMagnetic monopoleBoundary value problemPlane (geometry)Mathematical analysisAntenna (radio)MathematicsPhysicsFinite element methodComputer scienceGeometryBoundary element methodElectrical impedanceTelecommunications

Abstract

fetched live from OpenAlex

In this work, two different configurations of a monopole mounted over a ground plane have their input admittance determined by a meshless numerical simulation. The Meshless Local Petrov-Galerkin is used with shape functions generated by Moving Least Squares. Boundary conditions are imposed by a collocation scheme that avoids numerical integrations. The proposed axisymmetric analysis has a simple implementation. The results are in agreement with theoretical data and simulations found in the literature.

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: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.001
Threshold uncertainty score0.003

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 science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.012
GPT teacher head0.281
Teacher spread0.269 · 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
GenreEmpirical

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

Citations2
Published2012
Admission routes1
Has abstractyes

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