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Record W2165447935 · doi:10.1109/lawp.2009.2034672

New Pawn-Shaped Dielectric Ring Resonator Loaded Hybrid Monopole Antenna for Improved Ultrawide Bandwidth

2009· article· en· W2165447935 on OpenAlexaff
Debatosh Guha, Bupender Gupta, Yahia M. M. Antar

Bibliographic record

VenueIEEE Antennas and Wireless Propagation Letters · 2009
Typearticle
Languageen
FieldEngineering
TopicAntenna Design and Analysis
Canadian institutionsRoyal Military College of Canada
Fundersnot available
KeywordsMagnetic monopoleBandwidth (computing)PhysicsDielectric resonator antennaResonatorWidebandMonopole antennaElectrical lengthDielectric resonatorDielectricElectrical engineeringAntenna (radio)Dipole antennaOpticsComputer scienceTelecommunicationsOptoelectronicsEngineeringAntenna efficiency

Abstract

fetched live from OpenAlex

A new pawn-shaped dielectric ring resonator (DRR) fed by a simple quarter-wave monopole has been investigated as a new variant of the hybrid monopole-dielectric resonator antenna (DRA). The new geometry, conceived intuitively, significantly improves the impedance bandwidth compared to all earlier versions reported in open literature. S11r=10. Such ultrawideband (UWB) response is caused by multiple resonances occurring by the hybrid monopole-DRA structure . These resonances are identified through several experimental and simulation studies. Uniform monopole-type radiation occurring over the entire bandwidth has been confirmed using measured and simulated results. The peak gain varies from 4 to 6 dBi as a function of frequency. Such useful properties can be successfully used to realize UWB monopole antennas for wireless communications and as wideband electromagnetic interference (EMI) sensors.

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: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.205
Teacher spread0.197 · 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

Citations53
Published2009
Admission routes1
Has abstractyes

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