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Record W2990709028 · doi:10.23919/eumc.2019.8910914

Waveguide Coupler Design Method for Permittivity Measurement at millimeter-wave applications

2019· article· en· W2990709028 on OpenAlexaff
Karrar Al Khanjar, Tarek Djerafi

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicMicrowave and Dielectric Measurement Techniques
Canadian institutionsInstitut National de la Recherche Scientifique
Fundersnot available
KeywordsPermittivityDissipation factorHybrid couplerWaveguideExtremely high frequencyOpticsSlotted waveguideRelative permittivityMaterials scienceDielectricMillimeterTangentDielectric lossPower dividers and directional couplersOptoelectronicsPhysicsEngineeringElectrical engineeringMathematicsGeometrySlot antenna

Abstract

fetched live from OpenAlex

In this paper, novel waveguide coupler technique for relative permittivity measurement of dielectric materials is proposed. Unlike the two conventional port methods measurements, this technique provides extra information to precisely measure tangent loss and permittivity. This type of coupler is composed of a waveguide section of four arms connected by a central junction. Quasi-optical coupler technique is realized on standard waveguide by simply inserting circular holes with different values of permittivity in the central section to act as a mirror. Characteristics of the proposed coupler are introduced and studied with regard to different parameters. This design provides an precise technique for measuring permittivity and tangent loss throughout two extra ports. A prototype at mm-wave is designed, fabricated and measured. Experimental results show that the proposed waveguide coupler has accurate measured results of permittivity for milk 2 % and creamer 10 %.

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)0.001
metaresearch head score (Gemma)0.001
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: Methods · Consensus signal: Methods
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.001
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 head0.074
GPT teacher head0.263
Teacher spread0.189 · 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
GenreMethods

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".

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Citations0
Published2019
Admission routes1
Has abstractyes

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