MétaCan
Menu
Back to cohort
Record W1600063531

New hybrid design for a broadband high gain 60-GHz Dielectric Resonator Antenna

2013· article· en· W1600063531 on OpenAlex
T. Elkarkraoui, G.Y. Delisle, Nadir Hakem, Yacouba Coulibaly

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueEuropean Conference on Antennas and Propagation · 2013
Typearticle
Languageen
FieldEngineering
TopicAntenna Design and Analysis
Canadian institutionsUniversité du Québec en Abitibi-TémiscamingueUniversité Laval
Fundersnot available
KeywordsDielectric resonator antennaHFSSDirectivityAntenna gainDielectric resonatorMaterials scienceAntenna (radio)Radiation patternDielectricAcousticsMicrostrip antennaOpticsElectronic engineeringOptoelectronicsAntenna factorEngineeringElectrical engineeringPhysics
DOInot available

Abstract

fetched live from OpenAlex

Underground mines is a special environment which features severe multipath fading and high attenuation rate requiring that antennas have low profile, simple structure, polarization diversity, directivity and high gain. A new broadband and high gain stacked pyramid Dielectric Resonator Antenna (DRA) with a superstrate has been designed for this particular application. The proposed antenna is composed of a superstrate, an aperture coupled feed, a stacked pyramid dielectric resonator and FSS-metallic strips stacked on the lower side of the superstrate. This antenna is designed to cover the unlicensed ISM frequency band at 60 GHz (57 GHz-65 GHz). To analyze the proposed antenna, numerical simulations is carried out with CST microwave studio, which is based on the finite integration method. For comparison and validation of the optimized results, Ansoft HFSS based on the finite element method is also used.

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.

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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.988
Threshold uncertainty score0.893

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)0.0000.000

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 head0.025
GPT teacher head0.212
Teacher spread0.187 · 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