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Record W2495819004 · doi:10.1109/tpel.2016.2597161

A Single-Stage Primary-Side-Controlled Off-line Flyback LED Driver With Ripple Cancellation

2016· article· en· W2495819004 on OpenAlex

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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueIEEE Transactions on Power Electronics · 2016
Typearticle
Languageen
FieldEngineering
TopicAdvanced DC-DC Converters
Canadian institutionsQueen's University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsRippleElectronic engineeringVoltageEngineeringTransformerElectrical engineeringComputer science

Abstract

fetched live from OpenAlex

Ripple cancellation LED driver can achieve flicker-free LED driving while maintaining high power factor, high efficiency, and low component cost. It is a very competitive solution compared to a conventional single-stage or two-stage LED driver design. In this paper, a primary-side-controlled ripple cancellation LED driver has been proposed. The voltages of the proposed LED driver are sensed at the primary side by transformer sensing windings. The LED current is also obtained by sensing the primary-side switching current. The entire control circuit is built on the primary side. All the advantages from the existing ripple cancellation LED drivers are maintained while achieving the primary-side control. Based on the proposed circuit, a potential integrated primary-side controller can be designed, which can significantly reduce the component cost and design complexity. A 30-W, 50-V, 0.6-A experimental prototype with a universal input voltage range has been built to verify the proposed LED driver.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.950
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 integrity0.0000.000
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 head0.194
Teacher spread0.188 · 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