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Efficiency Optimization of Wireless Power Transfer Systems having Multiple Receivers with Cross-Coupling by ResonantFrequency Adjustment of Receivers

2021· article· en· W3214918910 on OpenAlex
Arpan Laha, Abirami Kalathy, Praveen Jain

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 institutionsQueen's University
Fundersnot available
KeywordsCrosstalkTransmitterWireless power transferCapacitanceElectronic engineeringWirelessCapacitorComputer scienceElectrical efficiencyElectrical engineeringVoltageEngineeringPower (physics)TelecommunicationsPhysicsChannel (broadcasting)

Abstract

fetched live from OpenAlex

This paper introduces a technique to optimize the efficiency of wireless power transfer (WPT) systems having one transmitter and two receivers having cross-coupling (crosstalk) among the receivers. It is shown that the presence of crosstalk may or may not be beneficial to system efficiency. The emphasis is on the improvement of efficiency in the presence of crosstalk rather than its elimination, which has not been done in previous works. To enable that, a switched capacitor circuit (SCC) is proposed that varies the resonant frequency of the receivers (by varying the net receiver capacitance) in the presence of crosstalk. This improves the total system efficiency in the presence of variable coupling and load conditions, using a perturb-and-observe algorithm.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.366
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0000.000

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 head0.006
GPT teacher head0.196
Teacher spread0.189 · 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

Citations7
Published2021
Admission routes1
Has abstractyes

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