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Simultaneous Electric and Magnetic Two-Dimensional Tuning in Nonlinear Magnetic Transmission Line

2022· article· en· W4281710838 on OpenAlexaff
MuhibUr Rahman, Ke Wu

Bibliographic record

Venue2021 51st European Microwave Conference (EuMC) · 2022
Typearticle
Languageen
FieldEngineering
TopicPower Line Communications and Noise
Canadian institutionsPolytechnique Montréal
Fundersnot available
KeywordsNonlinear systemLine (geometry)Transmission lineElectric power transmissionRange (aeronautics)VoltageWork (physics)Magnetic circuitMaterials sciencePhysicsMagnetElectrical engineeringEngineeringMathematics

Abstract

fetched live from OpenAlex

This work proposes and demonstrates the concept of simultaneous electric and magnetic two-dimensional tuning (2D-tuning) in nonlinear magnetic transmission line (NLMTL). The proposed concept is briefly discussed through theory and experiments in different scenarios. First of all, one-dimensional tuning including electric and magnetic tuning is separately studied and the corresponding tuning capability is explored. Then, simultaneous electric and magnetic tuning is analyzed and validated to show that the corresponding tuning range is improved considerably. It is discovered that utilizing NLMTL enhances the tuning range five times compared to that of the electric tuning while 1.7 times to that of the magnetic tuning.

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), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.904
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.012
GPT teacher head0.211
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

Citations1
Published2022
Admission routes1
Has abstractyes

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