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Record W2902028062 · doi:10.23919/eumc.2018.8541360

Four Way Power Divider and Combiner Based on a Luzzatto Divider Using Vertically Installed Planar Bridge Isolator

2018· article· en· W2902028062 on OpenAlexafffund
Ahmed Moulay, Tarek Djerafi

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicMicrowave Engineering and Waveguides
Canadian institutionsInstitut National de la Recherche Scientifique
FundersInstitut national de la recherche scientifique
KeywordsIsolatorPower dividers and directional couplersWilkinson power dividerPlanarBandwidth (computing)Current dividerFrequency dividerElectrical engineeringComputer scienceEngineeringElectronic engineeringTopology (electrical circuits)Telecommunications

Abstract

fetched live from OpenAlex

This paper proposes a four-way power divider and combiner based on Luzzatto power divider (LPD) with optimal isolation network study. New implementation based on vertically installed planar isolator permits to have even more number of power way. The LPD rules are derived from the most popular Wilkinson divider. To overcome the 2-D topology limitation, the vertical planar structure has been exploited to realize a bridge isolator between opposite ports. Measurement results shows more than 20 dB of isolation between each two ports and bandwidth of 40% at the operating frequency of 10 GHz. Lower loss, broader bandwidth and simple structure, makes the proposed design a proper candidate for high isolation 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 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: Empirical · Consensus signal: none
Teacher disagreement score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.000
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 head0.019
GPT teacher head0.217
Teacher spread0.198 · 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

Citations1
Published2018
Admission routes2
Has abstractyes

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