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Enhanced Gain mm- Wave Ridge Gap Waveguide Antenna based on Two Partially Reflective Layers

2023· article· en· W4386523618 on OpenAlexaff
Hussein Attia, Lamine Mohamed Abdelghani, Abdelhalim Chaabane, Tayeb A. Denidni

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicMicrowave Engineering and Waveguides
Canadian institutionsInstitut National de la Recherche Scientifique
Fundersnot available
KeywordsWidebandRadiation patternOpticsBandwidth (computing)Materials scienceAntenna gainHigh-gain antennaAntenna efficiencyRangingAntenna (radio)RadiationOptoelectronicsPhysicsElectrical engineeringTelecommunicationsEngineering

Abstract

fetched live from OpenAlex

This paper discusses a novel wideband partially reflective unit cell (PRUC) for improving the gain of mm-wave printed ridge gap waveguide slot antenna (PRGWSA). The proposed PRUC is composed of two different metal-dielectric layers spaced by an air-gap. Over the frequency range of around 60 GHz, the PRUC exhibits a positive reflection phase slope and a high reflectivity. An array of 4×4 PRUCs is placed at an optimum distance from the PRGWSA to enhance its gain. A gain enhancement of 12.6 dB is achieved compared to the antenna without the array of PRUCs. The proposed antenna operates between 55.4 to 66.6 GHz (18% bandwidth) with a 3-dB gain bandwidth ranging from 58.6 to 66.4 GHz (12.5%), and it shows high directive symmetrical radiation patterns.

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 score0.000
Threshold uncertainty score0.001

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 integrity0.0000.000
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 head0.028
GPT teacher head0.262
Teacher spread0.234 · 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

Citations0
Published2023
Admission routes1
Has abstractyes

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