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Record W2137577199 · doi:10.1109/aps.1997.631476

Modelling helix antennas with NEC4

2002· article· en· W2137577199 on OpenAlexaff
C.W. Trueman, S.J. Kubina, Mike Slater

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicAntenna Design and Analysis
Canadian institutionsConcordia University
Fundersnot available
KeywordsHelix (gastropod)DirectivityCapacitive sensingCapacitanceHelical antennaCylinderPiecewise linear functionDielectricTransmission lineOpticsAcousticsPhysicsMaterials scienceGeometryElectrical engineeringMathematicsEngineeringDipole antennaSlot antennaAntenna (radio)

Abstract

fetched live from OpenAlex

The performance of helix antennas as a function of the length, diameter and pitch have been studied extensively by measurement. However, if a helix is modelled with a piecewise-linear approximation using straight wire "segments" in free space, the computed directivity and centre frequency differ from the measured data. This paper shows that the styrofoam cylinder or "former" on which a helix is wound for measurement has a marked effect on the electrical parameters of adjacent turns of the helix viewed as a transmission line. By modelling the additional capacitance between the turns due to the former, the computed centre frequency is brought into alignment with measured data. NEC4 offers an economical means of accounting for the capacitive effect using a dielectric sheath on the segments modelling the helix.

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)0.001
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 score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.000
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 head0.020
GPT teacher head0.171
Teacher spread0.151 · 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

Citations0
Published2002
Admission routes1
Has abstractyes

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