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Record W3128841894 · doi:10.1049/smt2.12025

Characterization of a resonant capacitively coupled wireless power transfer system for communication purposes at 6 MHz

2021· article· en· W3128841894 on OpenAlexafffund
Semion Belau, Fabiano Cezar Domingos, Susanna Vital de Campos de Freitas, Rashid Mirzavand, Pedram Mousavi

Bibliographic record

VenueIET Science Measurement & Technology · 2021
Typearticle
Languageen
FieldEngineering
TopicWireless Power Transfer Systems
Canadian institutionsUniversity of Alberta
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsWireless power transferWirelessCharacterization (materials science)Resonant inductive couplingElectrical engineeringPower (physics)Maximum power transfer theoremElectronic engineeringOptoelectronicsMaterials scienceComputer sciencePhysicsEnergy transferTelecommunicationsEngineeringAtomic physicsNanotechnology

Abstract

fetched live from OpenAlex

Abstract This work characterizes a wireless power transmission (WPT) system operating at the 6 MHz frequency band for wireless information transfer purposes. To perform the characterization, the channel is modelled using its 2‐port network scattering parameters. Then, a long string of symbols encoded with on–off keying and modified Miller encoding is passed through the channel model at various data rates. The original data is recovered from the channel output signal using a software‐defined receiver. Bit error rate curves and eye diagrams are created for each encoding scheme and data rate. To verify the simulated results, the aforementioned data strings are transferred through the actual WPT system and output signals are post‐processed in the digital domain with the same software‐defined receiver. For comparison purposes, the performance of the WPT channel is compared to that of a conventional wireless communication channel with a flat additive white Gaussian noise model. The simulation and measurement results demonstrate that the provided WPT system can be used for data transfer with an acceptable error rate.

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)0.001
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: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
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)0.0010.000

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 head0.021
GPT teacher head0.213
Teacher spread0.191 · 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

Citations0
Published2021
Admission routes2
Has abstractyes

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