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Record W2016788425 · doi:10.1049/el:20081013

Smart antennas using electro-active polymers for deformable parasitic elements

2008· article· en· W2016788425 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueElectronics Letters · 2008
Typearticle
Languageen
FieldEngineering
TopicDielectric materials and actuators
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsAntenna (radio)Impedance matchingElectrical conductorReconfigurable antennaComputer scienceControl reconfigurationElectronic engineeringSIGNAL (programming language)Electrical impedanceSmart antennaAcousticsElectrical engineeringMaterials scienceDipole antennaEngineeringPhysicsAntenna efficiencyEmbedded system

Abstract

fetched live from OpenAlex

A novel concept for implementation of smart antennas is introduced. Deformable smart materials, as parasitic elements to alter the antenna pattern, are demonstrated. Such a reconfiguration can be used for improved spectral efficiency through diversity-type techniques. The approach effectively allows replacement of much RF circuitry and the signal processing modules present in a conventional array, by simple, low-cost, low power, smart materials. A basic, proof-of-concept prototype comprising a radiating monopole and a deformable conductive strip made of ionic polymeric–metal composite is presented. The deformable conductive strip has a voltage-controlled slant angle and its close proximity to the monopole reconfigures the pattern. Physical measurements verify the operation of the antenna. The impedance matching is also discussed.

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.

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 categoriesMeta-epidemiology (narrow)
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 score0.089
Threshold uncertainty score1.000

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 head0.011
GPT teacher head0.213
Teacher spread0.202 · 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