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Record W2096264626 · doi:10.1109/aps.1989.134936

Rectangular aperture radiating into a lossy medium-numerical and experimental results

2003· article· en· W2096264626 on OpenAlexaff
C.L. Sibbald, S.S. Stuchly, G.I. Costache

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicMicrowave and Dielectric Measurement Techniques
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsAperture (computer memory)Capacitive sensingLossy compressionReflection coefficientOpticsElectrical impedanceImpedance matchingNumerical analysisMethod of moments (probability theory)Numerical apertureAcousticsComputer scienceElectronic engineeringEngineeringPhysicsElectrical engineeringMathematicsWavelengthMathematical analysis

Abstract

fetched live from OpenAlex

The authors present three numerical techniques: the finite element method, the method of moments (MOM) and the mode-matching method. These methods were used to determine the input impedance of a rectangular aperture excited by a rectangular waveguide and radiating into a lossy medium. The numerical techniques were applied to several aperture geometries, such as capacitive and inductive slots, in contact with known dielectrics (water and methanol). The calculations were performed over the frequency range 8.5-11.5 GHz (X-band). The numerical results were validated by measurements performed with an automated network analyzer. Typical results are presented which show the dominant mode reflection coefficient in the plane of the aperture for the case of an open-ended guide (full aperture) in contact with water. The CPU usage of the numerical methods is given.>

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)0.002
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 score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.009
GPT teacher head0.218
Teacher spread0.209 · 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
Published2003
Admission routes1
Has abstractyes

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