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Record W2725931742 · doi:10.1109/wow.2017.7959399

Quarter wavelength resonators for use in wireless capacitive power transfer

2017· article· en· W2725931742 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

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicWireless Power Transfer Systems
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsCapacitive sensingResonatorWireless power transferVoltageElectrodeElectrical engineeringPower (physics)Maximum power transfer theoremMaterials scienceWirelessElectronic engineeringComputer scienceAcousticsOptoelectronicsEngineeringTelecommunicationsPhysics

Abstract

fetched live from OpenAlex

Wireless capacitive power transfer is a growing research area that mainly focuses on non-radiating techniques. It has the potential to be highly efficient, low cost, and less susceptible to alignment issues. One major challenge hindering its widespread use is the high voltages found between the capacitive electrodes. Due to this, bipolar (dual, plus/minus electrode) techniques are predominant in literature, as unipolar (one electrode) techniques generally require even higher voltages for operation. Here we present the use of quarter wave resonators as one method to reduce electrode voltages while maintaining efficient energy transfer in a unipolar capacitive geometry. An accurate theoretical model is given based on standard circuit theory. Experimental verification of power transfer over a 5 m by 0.3 m surface is presented where various loads are placed on the system and changing phase parameters are measured.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.481
Threshold uncertainty score0.970

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 communication0.0000.001
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 head0.020
GPT teacher head0.227
Teacher spread0.207 · 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

Quick stats

Citations13
Published2017
Admission routes1
Has abstractyes

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