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Record W2053086802 · doi:10.1109/ccece.2012.6334898

Misalignment analysis of resonance-based wireless power transfer to biomedical implants

2012· article· en· W2053086802 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 institutionsWestern University
Fundersnot available
KeywordsWireless power transferBiotelemetryResistorElectromagnetic coilMaximum power transfer theoremSensitivity (control systems)Resonance (particle physics)Power (physics)WirelessElectrical engineeringEquivalent circuitElectromagnetic fieldMaterials scienceAcousticsElectronic engineeringEngineeringPhysicsTelecommunicationsAtomic physicsTelemetryVoltage

Abstract

fetched live from OpenAlex

We present a power transfer sensitivity analysis of a four-coil resonance-based wireless power delivery system that is used to provide energy to a small-size biotelemetry system implanted into non-human freely moving subjects. Both axial and angular misalignments have been evaluated, with calculations for the worst-case misalignment of 15mm axial distance and 50° angular separation for a minimum constant power supply of 0.5mW in the load resistor. Analytical results have been validated with electromagnetic field simulations. Discrete level design of a wirelessly powered implant incorporating this analysis is also presented.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.216
Threshold uncertainty score0.730

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.010
GPT teacher head0.225
Teacher spread0.214 · 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

Citations14
Published2012
Admission routes1
Has abstractyes

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