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Record W1895493193 · doi:10.1109/aps.2002.1016076

A multiple tuned multiple fed broadband MF antenna

2003· article· en· W1895493193 on OpenAlexaff
J. S. Belrose

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicAntenna Design and Analysis
Canadian institutionsCommunications Research Centre Canada
Fundersnot available
KeywordsOmnidirectional antennaAntenna measurementAntenna noise temperatureRadiation patternAntenna factorBandwidth (computing)Coaxial antennaAntenna (radio)AcousticsBroadbandPhysicsAntenna efficiencyAntenna tunerComputer scienceElectrical engineeringOpticsTelecommunicationsEngineering

Abstract

fetched live from OpenAlex

A multiple tuned multiple fed (MTMF) type antenna can be considered as comprising two or more elements electrically connected at their top ends, or as an antenna system comprising separate elements, individually fed and closely spaced, so that in effect they are radiation coupled; the azimuthal radiation pattern is omnidirectional. The author has studied both types of multiple tuned antenna systems by numerical and by experimental modeling. This paper is a result of the author revisiting, by computer simulation, a MTMF antenna system comprising four inverted-L type elements. The early studies for electrically small antenna systems showed that such antenna systems could have bandwidths that far exceed that for any VLF/LF antenna system of comparable size. The present paper has brought to light, the fact that a very wide BW can be realized for a resonant MTMF antenna system, bandwidth f/sub max//f/sub min/ > 2:1 for SWR3:1 and bandwidth is an important consideration.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.003
Threshold uncertainty score0.010

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)0.0030.001

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 head0.013
GPT teacher head0.198
Teacher spread0.185 · 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 designBench or experimental
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

Citations1
Published2003
Admission routes1
Has abstractyes

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