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Record W2808280121 · doi:10.1109/lmwc.2018.2837866

Compact Multilayer Half Mode Substrate Integrated Waveguide 3-dB Coupler

2018· article· en· W2808280121 on OpenAlexfundno aff
Shui Liu, Feng Xu

Bibliographic record

VenueIEEE Microwave and Wireless Components Letters · 2018
Typearticle
Languageen
FieldEngineering
TopicMicrowave Engineering and Waveguides
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsWidebandWaveguideBandwidth (computing)Coupling (piping)Electronic circuitDual modeMaterials scienceRat-race couplerElectronic engineeringOptoelectronicsHybrid couplerOpticsPhysicsPower dividers and directional couplersComputer scienceElectrical engineeringEngineeringTelecommunications

Abstract

fetched live from OpenAlex

In this letter, a wideband compact 3-dB coupler is designed based on the multilayer half mode substrate integrated waveguide (HMSIW) theory and Bethe hole coupling theory. The design utilizes higher band of quasi-TE <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">0.5,0</sub> mode in HMSIW and dual-layer structure to reduce the size of component. This letter also theoretically proposes a relationship between SIW and HMSIW broad wall coupler with the same coupling section, which can obviously simplify the design procedure and maintain stable coupling differences. Meanwhile, this coupler shows a 3-dB coupling over a wide bandwidth with a single row of only five small apertures, which needs more in SIW and waveguide circuits. In long term, the method of cutting SIW components along magnetic wall to get HMSIW components can also play an important role in the future design, especially in size reduction and performance improvement of the circuits. Simulation results are in agreement with the measured data.

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 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 categoriesMeta-epidemiology (narrow)
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 score0.283
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
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 head0.017
GPT teacher head0.224
Teacher spread0.207 · 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 teacher head, not a consensus.

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

Citations26
Published2018
Admission routes1
Has abstractyes

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