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Record W2903683262 · doi:10.1109/antem.2018.8573020

Fluidically-Tuned Reflection Oscillator at C-Band

2018· article· en· W2903683262 on OpenAlexaff
Mahmoud Abdallah, Carlos E. Saavedra

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicAcoustic Wave Resonator Technologies
Canadian institutionsQueen's University
Fundersnot available
KeywordsdBcPhase noiseResonatorMicrowaveOptoelectronicsMaterials scienceOffset (computer science)Vackář oscillatorC bandVoltage-controlled oscillatorFrequency bandElectrical engineeringOpticsLocal oscillatorPhysicsEngineeringTelecommunicationsComputer scienceVoltage

Abstract

fetched live from OpenAlex

A fluidically-tuned reflection-type oscillator using a substrate-integrated waveguide (SIW) resonator is designed and tested. Frequency tuning is achieved by depositing water droplets along the transmission lines that feed the resonator and the oscillator's load matching network. Experimental measurements show that the oscillator can be tuned over a 110 MHz band from 5.053 GHz to 4.943 GHz while its phase noise degrades by 1.2 dB from -125.2 dBc/Hz to -124 dBc/Hz at 1 MHz offset over the band. To the best of our knowledge, this is the first work to investigate the fluidic tuning of microwave oscillators.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.154
Threshold uncertainty score0.829

Codex and Gemma teacher scores by category

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 communication0.0000.000
Open science0.0000.000
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 head0.010
GPT teacher head0.221
Teacher spread0.211 · 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 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

Citations6
Published2018
Admission routes1
Has abstractyes

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