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Record W2058121567 · doi:10.1049/ip-map:20045089

Substrate integrated circuits concept applied to the nonradiative dielectric guide

2005· article· en· W2058121567 on OpenAlexaff
Y. Cassivi, Ke Wu

Bibliographic record

VenueIEE Proceedings - Microwaves Antennas and Propagation · 2005
Typearticle
Languageen
FieldEngineering
TopicMicrowave Engineering and Waveguides
Canadian institutionsPolytechnique Montréal
FundersSmithsonian Astrophysical ObservatorySmithsonian Institution
KeywordsSubstrate (aquarium)DielectricElectronic circuitMaterials scienceIntegrated circuitOptoelectronicsElectronic engineeringElectrical engineeringComputer scienceEngineeringGeology

Abstract

fetched live from OpenAlex

A novel technique for designing and realising nonradiative dielectric (NRD) waveguide circuits based on the concept of substrate integrated circuits (SICs) is proposed and demonstrated for the first time. In this new scheme, the substrate integrated NRD (SINRD) guide is created or synthesised by drilling a pattern of air holes in a planar dielectric substrate. Furthermore, metallised holes are also introduced to enclose the NRD guide. Using this configuration, an integrated waveguide transition and mode suppressor can be realised. Dispersion analysis and design considerations for the proposed structure are presented and discussed. It is shown that this new approach can be applied over a wide range of microwave and millimetre-wave frequencies for high-density circuit integration and low-cost system applications. Measured results of a number of showcase circuits validate the design method, which include a bandpass filter, a directional coupler and an integrated transition between an SINRD guide and a rectangular waveguide.

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: Methods · Consensus signal: Methods
Teacher disagreement score0.001
Threshold uncertainty score0.004

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 communication0.0010.000
Open science0.0010.000
Research integrity0.0000.000
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 head0.007
GPT teacher head0.199
Teacher spread0.192 · 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".

Quick stats

Citations31
Published2005
Admission routes1
Has abstractyes

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