MétaCan
Menu
Back to cohort
Record W4385945601 · doi:10.1109/tcpmt.2023.3306007

A Wideband Symmetrical Crossover Model With Analytic Analysis and Its Millimeter-Wave Application

2023· article· en· W4385945601 on OpenAlexaff
Zhenjiang Zhao, Tayeb A. Denidni

Bibliographic record

VenueIEEE Transactions on Components Packaging and Manufacturing Technology · 2023
Typearticle
Languageen
FieldEngineering
TopicMicrowave Engineering and Waveguides
Canadian institutionsInstitut National de la Recherche Scientifique
Fundersnot available
KeywordsCrossoverWidebandExtremely high frequencyBandwidth (computing)NotationComputer scienceElectronic engineeringBeamformingAlgorithmMathematicsTelecommunicationsEngineeringArtificial intelligenceArithmetic

Abstract

fetched live from OpenAlex

A wideband symmetrical crossover model is proposed in this article. The analytic expressions between the <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$S$ </tex-math></inline-formula> -parameters and the structure parameters are built through even-odd method. One optimization method is presented to achieve a 44% of bandwidth at sub 6 GHz with the consideration of the physical structure constrain. With the analytic expressions, this model provides a concise and effective method to design crossovers from sub-6 GHz to millimeter-waveband. By utilizing the proposed model and optimization approach, a substrate integrated gap waveguide (SIGW)-based crossover at 30 GHz is designed and verified to provides 20% of the optimized bandwidth, which could be a good candidate component for the 5G Millimeter-wave beamforming network applications.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.486
Threshold uncertainty score0.964

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
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 head0.015
GPT teacher head0.214
Teacher spread0.199 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
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

Citations4
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueIEEE Transactions on Components Packaging and Manufacturing TechnologySame topicMicrowave Engineering and WaveguidesFrench-language works237,207