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Record W2527963089 · doi:10.1109/ieee-iws.2016.7585444

Planar magnetically-coupled resonance wireless power transfer systems using array of coil resonators

2016· article· en· W2527963089 on OpenAlexaff
Zhu Liu, Yilun Guo, Farid Jolani, Yiqiang Yu, Zhizhang Chen

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicWireless Power Transfer Systems
Canadian institutionsDalhousie University
Fundersnot available
KeywordsWireless power transferResonatorElectromagnetic coilPlanar arrayPlanarTransmitterMaximum power transfer theoremPower (physics)Resonance (particle physics)Computer scienceElectronic engineeringInductive couplingElectrical engineeringPhysicsAcousticsMaterials scienceEngineeringTelecommunications

Abstract

fetched live from OpenAlex

The proposed designs are include in array of 1×2 resonators, the array of 2×2 resonators and the array of 3×3 resonators for magnetically-coupled resonance wireless power transfer (MCR-WPT) system. The arrays of WPT system provide high performance when the transmitter and the receiver are in misaligned positions in over-coupled and under-coupled situations. Also, we introduced a method for simulation and optimization of arrays of resonators WPT system. Finally, the array of 2×2 and 3×3 WPT system were successfully integrated into a charging table. These designs present good candidates for wireless power transfer 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)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
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 head0.010
GPT teacher head0.197
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 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

Citations10
Published2016
Admission routes1
Has abstractyes

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