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Record W4255156754 · doi:10.1109/mwsym.2010.5515889

Quasi-optical cruciform substrate integrated waveguide (SIW) coupler for millimeter-wave systems

2010· article· en· W4255156754 on OpenAlexaff
Tarek Djerafi, Jules Gauthier, Ke Wu

Bibliographic record

Venue2010 IEEE MTT-S International Microwave Symposium · 2010
Typearticle
Languageen
FieldEngineering
TopicMicrowave Engineering and Waveguides
Canadian institutionsPolytechnique Montréal
Fundersnot available
KeywordsHFSSHybrid couplerReturn lossExtremely high frequencyWaveguideTransformerPower dividers and directional couplersMillimeterMagic teeInsertion lossElectromagnetic simulationMaterials scienceBandwidth (computing)Rat-race couplerOpticsOptoelectronicsElectronic engineeringPhysicsEngineeringElectrical engineeringTelecommunications

Abstract

fetched live from OpenAlex

A new substrate integrated waveguide (SIW) coupler in the form of a cruciform structure is proposed and developed in this work. This coupler is composed of four arms waveguide section connected by a central junction. The central portion is partially etched to act as an impedance transformer and mirror. This coupler could be used for millimetre-wave and sub-millimetre wave applications without insuperable tolerance problem. A 3dB coupler design procedure is validated by electromagnetic -simulations (HFSS) and prototype experiments. Measured results on the basis of the realized prototypes agree well with theoretical predictions and simulated results. This coupler is demonstrated to have a 20% relative bandwidth with 20dB of isolation and return loss.

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 score0.002

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 communication0.0010.001
Open science0.0010.000
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 head0.015
GPT teacher head0.223
Teacher spread0.208 · 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

Citations14
Published2010
Admission routes1
Has abstractyes

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