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Record W2072110397 · doi:10.1109/mwsym.2014.6848582

Radiated efficiency of aperture tuned antennas: Comparison of MEMS Digital Variable Capacitor and fixed ceramic capacitors

2014· article· en· W2072110397 on OpenAlexaff
Paul Tornatta, R. Gaddi, Larry Morrell, V. Joshi, Bruce F. Bishop

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicAntenna Design and Analysis
Canadian institutionsCentre de Santé et de Services Sociaux Cavendish
Fundersnot available
KeywordsCapacitorVariable capacitorAperture (computer memory)Microelectromechanical systemsAntenna (radio)Antenna efficiencyElectrical engineeringParasitic extractionElectronic engineeringReconfigurable antennaComputer scienceEngineeringOmnidirectional antennaMaterials scienceOptoelectronicsMechanical engineeringVoltage

Abstract

fetched live from OpenAlex

Aperture tuned antennas are becoming more common in Smart Phone Handsets to address radiated efficiency issues caused by industrial design constraints and increased frequency requirements. This paper focuses on a real application example of a MEMS Digital Variable Capacitor (DVC) from Cavendish Kinetics in antenna aperture tuning. The OTA performance is bench-marked against using state-of-the-art fixed-valued discrete capacitors in place of the DVC, showing similar radiation efficiency between the two. These results directly show how the low loss and low parasitics of the MEMS DVC can enable antenna aperture tuning 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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.984
Threshold uncertainty score0.549

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)0.0000.000

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 head0.007
GPT teacher head0.195
Teacher spread0.187 · 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

Citations7
Published2014
Admission routes1
Has abstractyes

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