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Impedances Matching Network Generation for Magnetically Coupled Coils Systems

2023· article· en· W4367308635 on OpenAlexaff
Marilena Stănculescu, Mihai Iordache, Dragoș Niculae, Lavinia Bobaru, Georgiana Rezmeriță, Sorin Deleanu

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicWireless Power Transfer Systems
Canadian institutionsNorthern Alberta Institute of Technology
Fundersnot available
KeywordsWireless power transferImpedance matchingCapacitorElectrical impedanceMaximum power transfer theoremElectronic engineeringPower (physics)Electrical engineeringMatching (statistics)Input impedanceComputer scienceElectronic circuitSeries (stratigraphy)InductanceElectromagnetic coilEngineeringVoltagePhysicsMathematics

Abstract

fetched live from OpenAlex

The purpose of this paper is to analyze the influence of matching the input and output (I/O) impedances of the magnetically coupled coils used in wireless power transfer systems (WPTS) construction. Also, the influence on the input to load power transfer efficiency was studied. Since the system consisting of magnetically coupled coils (operating at resonance) with series - series (ss) connections - RCMSS - is the most efficient one (for emitter to load active power wireless transfer and for active power transfer efficiency) the paper presents, in detail, an efficient procedure for generating input and output impedances only for RCMSS. Through the simulations performed with various calculation programs, the values of the parameters (coils and capacitors) used in the construction of the matching circuits were accurately calculated.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.778
Threshold uncertainty score0.569

Codex and Gemma teacher scores by category

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

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 head0.021
GPT teacher head0.231
Teacher spread0.210 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations0
Published2023
Admission routes1
Has abstractyes

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