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Record W2069325767 · doi:10.1109/ieee-iws.2013.6616781

Wideband high gain 1-D EBG resonator antenna

2013· article· en· W2069325767 on OpenAlexaff
Naizhi Wang, Larbi Talbi, Qingsheng Zeng, XU Jia-dong

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicAdvanced Antenna and Metasurface Technologies
Canadian institutionsCommunications Research Centre CanadaUniversité du Québec en Outaouais
Fundersnot available
KeywordsWidebandBandwidth (computing)Antenna gainDielectric resonator antennaAntenna factorPhysicsRadiation patternAntenna noise temperatureAntenna measurementDipole antennaOpticsAcousticsResonatorAntenna (radio)Computer scienceElectrical engineeringEngineeringTelecommunications

Abstract

fetched live from OpenAlex

This paper describes a technique to enhance the radiation bandwidth of the 1-D EBG resonator antenna. By adding one slab with a properly chosen dielectric constant underneath the other one, the 3dB gain bandwidth of the antenna is considerably increased. The proposed method is analyzed based on a transmission-line model and verified by simulations. It is shown that the antenna designed for verification achieves a 30% half gain bandwidth through 13.7GHz to 18.6GHz with a maximum gain of 14.8dBi, and also possesses a 34% impedance bandwidth for the voltage standing wave ratio less than 2 through 13.4GHz to 18.8GHz that covers the whole radiation bandwidth, as well as very low side lobes and cross-polarizations.

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)0.000
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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.274
Threshold uncertainty score0.688

Codex and Gemma teacher scores by category

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 integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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 head0.194
Teacher spread0.186 · 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 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
Published2013
Admission routes1
Has abstractyes

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