MétaCan
Menu
Back to cohort
Record W2757646274

A load-independent magnetically resonant wireless power transfer system

2017· article· en· W2757646274 on OpenAlexaff
Yilun Guo, Zhizhang Chen, Zhu Liu, Bo Xu, Yiqiang Yu, Huapeng Zhao, Jinyan Li

Bibliographic record

Venue2017 International Applied Computational Electromagnetics Society Symposium (ACES) · 2017
Typearticle
Languageen
FieldEngineering
TopicWireless Power Transfer Systems
Canadian institutionsDalhousie University
Fundersnot available
KeywordsWireless power transferCoupling (piping)Compensation (psychology)Resonant inductive couplingWirelessElectrical engineeringPower (physics)Inductive couplingMaximum power transfer theoremPhysicsVoltageControl theory (sociology)Computer scienceElectronic engineeringEngineeringEnergy transferTelecommunicationsMechanical engineeringEngineering physics
DOInot available

Abstract

fetched live from OpenAlex

A constant voltage output independent of loads is desirable in magnetically resonant wireless power transfer (WPT) systems. Most of the magnetically resonant WPT systems developed so far do not have such a property. In this paper, we introduce compensation networks to the WPT systems and develop the conditions and parameters that allow the magnetically resonant coupling WPT systems to be of load independent.

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 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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.834
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0020.000
Research integrity0.0000.001
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 head0.205
Teacher spread0.199 · 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 teacher head, not a consensus.

Study designSimulation or modeling
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

Citations2
Published2017
Admission routes1
Has abstractyes

Explore more

Same venue2017 International Applied Computational Electromagnetics Society Symposium (ACES)Same topicWireless Power Transfer SystemsFrench-language works237,207