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Record W2010650940 · doi:10.1109/ursigass.2014.6929034

Modified Wheeler cap method for measurement of antenna efficiency

2014· article· en· W2010650940 on OpenAlexaff
M. A. Moharram, Ahmed A. Kishk

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicAntenna Design and Analysis
Canadian institutionsConcordia University
Fundersnot available
KeywordsAntenna (radio)Reflection coefficientComputer scienceAntenna efficiencyMeasure (data warehouse)SolverElectronic engineeringReflection (computer programming)AcousticsResonatorEngineeringElectrical engineeringDipole antennaPhysicsTelecommunications

Abstract

fetched live from OpenAlex

A new non-circuit model method to predict the antenna efficiency via means of Wheeler cap measurements is proposed. The method uses an interpolated prediction of the quality factor of the antenna in the radiating and non-radiating modes with the help of Wheeler caps. The method works for narrow, multiple, and wide band antennas with a complete immunity to the effect of the cavity modes. Also, the semi-analytical approach in dealing with the reflection coefficient embraces an insightful view to individual resonators in the measurements. The proposed procedure provides a simpler, more accurate, and straight forward method to measure the antenna efficiency than other Wheeler cap based alternatives. The results of the proposed methods are verified with a commercial full wave solver and measurements.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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: none
Teacher disagreement score0.977
Threshold uncertainty score0.281

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.030
GPT teacher head0.246
Teacher spread0.216 · 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 teacher head, 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

Citations5
Published2014
Admission routes1
Has abstractyes

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