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Record W2473402317 · doi:10.1109/tpwrd.2016.2589761

High-Frequency, Half-Wavelength Power Transmission Scheme

2016· article· en· W2473402317 on OpenAlexaff
Yang Wang, Wilsun Xu, Yunwei Li, Hao Tian

Bibliographic record

VenueIEEE Transactions on Power Delivery · 2016
Typearticle
Languageen
FieldEngineering
TopicWireless Power Transfer Systems
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsTransmission (telecommunications)Generator (circuit theory)Electric power transmissionPower (physics)Electrical engineeringTransmission lineElectronic engineeringPower transmissionWavelengthComputer scienceEngineeringOpticsPhysics

Abstract

fetched live from OpenAlex

The half-wavelength power transmission scheme has some unique advantages and disadvantages for power transmission. This paper presents a new concept to take advantage of the scheme while overcoming its main limitation. The concept involves a power generation transmission unit. This unit generates and transmits power at a specific high frequency so that the distance between the generator and the receiving end is equal to a half-wavelength of the voltage/current of the system. As a result, a far-away generator becomes electrically located at the receiving end as if there is no transmission line separating the sending and receiving ends. The proposed concept represents an innovative and promising scheme to transmit a large amount of power over long distances.

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.007
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.002
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.002

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 head0.009
GPT teacher head0.191
Teacher spread0.182 · 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

Citations15
Published2016
Admission routes1
Has abstractyes

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