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Record W4293868683 · doi:10.1109/ims37962.2022.9865345

Ultra-Wideband Microstrip to Substrate Integrated Waveguide (SIW) Vertical Transition

2022· article· en· W4293868683 on OpenAlexaff
Abdelkader Zerfaine, Tarek Djerafi

Bibliographic record

Venue2022 IEEE/MTT-S International Microwave Symposium - IMS 2022 · 2022
Typearticle
Languageen
FieldEngineering
TopicMicrowave Engineering and Waveguides
Canadian institutionsInstitut National de la Recherche Scientifique
Fundersnot available
KeywordsMicrostripReturn lossWidebandInsertion lossGround planeMaterials scienceSubstrate (aquarium)WaveguideLine (geometry)OptoelectronicsOpticsAcousticsPhysicsTelecommunicationsEngineeringGeometryGeologyMathematics

Abstract

fetched live from OpenAlex

an ultra-wideband vertical microstrip to substrate integrated waveguide (SIW) transitions is proposed for Three-dimensional (3-D) densification. The corner formed by the two different transmissions lines and electrical walls can easily transform the E-field of the dominant mode in the microstrip line to the SIW mode. An equivalent model based on the lumped element is proposed to estimate the initial parameters and to study the performances of the structure. Based on this model, two configurations are built. In the first configuration, the SIW line is on the same side of the microstrip line (MSL) and in the second one, it is integrated into the side of the ground plane. For experimental validation, two back-to-back prototypes MSL-SIW-MSL transitions are fabricated, with a SIW line acting as a bridge. The measured results agree well with those in the simulations, showing a return loss better than 10 dB over the entire 22 - 50 GHz frequency range with a maximum insertion loss of 1.8 dB.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
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 score0.091
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.007
GPT teacher head0.209
Teacher spread0.202 · 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

Citations1
Published2022
Admission routes1
Has abstractyes

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