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Record W2144896272 · doi:10.1049/iet-map.2012.0298

Single‐layer partially reflective surface for an orthogonally‐polarised dual‐band high‐gain resonant cavity antenna

2013· article· en· W2144896272 on OpenAlexaff
Hamid Moghadas, Mojgan Daneshmand, Pedram Mousavi

Bibliographic record

VenueIET Microwaves Antennas & Propagation · 2013
Typearticle
Languageen
FieldEngineering
TopicAdvanced Antenna and Metasurface Technologies
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsOpticsBroadsideMulti-band devicePhysicsAntenna (radio)Beam (structure)Microstrip antennaPatch antennaAntenna gainMaterials scienceAntenna factorTelecommunicationsEngineering

Abstract

fetched live from OpenAlex

This study presents a novel dual‐band resonant cavity antenna (RCA) with orthogonal linear polarisations. The proposed RCA utilises one single‐sided slotted‐patch partially reflective surface (PRS) excited by a microstrip patch antenna. The two operating frequencies can be arbitrarily and independently controlled and the polarisation of each band is orthogonal to the other. A prototype is designed, fabricated and tested. The measured results show a dual broad‐side beam with lower‐band gain of 18.06 dBi at 10.25 GHz with vertical polarisation (V‐pol) and the upper‐band gain of 19.41 dBi at 11.05 GHz with horizontal polarisation (H‐pol). Besides, the proposed RCA has the capability of independent beam‐forming. By applying progressive phase gradient using variable slot length over PRS, the V‐pol lower‐band beam is tilted off broadside up to 29°, whereas the H‐pol upper‐band beam is fixed at broadside.

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 score0.003

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 science0.0010.000
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 head0.027
GPT teacher head0.256
Teacher spread0.228 · 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

Citations25
Published2013
Admission routes1
Has abstractyes

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