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Record W2019339776 · doi:10.1109/ecce.2013.6647156

A novel pulse current driving; High power factor LED driver without electrolytic capacitors

2013· article· en· W2019339776 on OpenAlexaff
John Lam, Praveen Jain

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldPhysics and Astronomy
TopicGaN-based semiconductor devices and materials
Canadian institutionsQueen's University
Fundersnot available
KeywordsElectrolytic capacitorCapacitorRippleTantalum capacitorFilm capacitorElectrical engineeringDecoupling capacitorPower factorLight-emitting diodeDiodeElectronic circuitReservoir capacitorMaterials scienceLED circuitCurrent (fluid)Polymer capacitorPower (physics)LED lampPulsed powerVoltageShort circuitEngineeringPhysics

Abstract

fetched live from OpenAlex

Light emitting diode (LED) drivers with AC-input (50 or 60Hz) usually require an electrolytic capacitor as the DC link capacitor to: (1) balance the energy between the input and output power, and (2) to minimize the low-frequency output ripple across the LEDs. The lifetime of this capacitor, however, is much shorter than that of a LED. A new pulse current driving LED driver that does not require any electrolytic capacitors or complicated control circuits to minimize the low-frequency output ripple is proposed in this paper for AC-input application. The proposed circuit is simple and a small size film capacitor is used to replace the energy storage electrolytic capacitor. A pulsed high frequency triangular current is used to drive the LEDs in the proposed circuit to improve the stability of the LED luminous intensity. Simulation and experimental results are given on an 8W LED lamp to highlight the merits of the proposed circuit.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.171
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)0.0240.001

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 head0.011
GPT teacher head0.236
Teacher spread0.225 · 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; both teacher heads agree on what is shown here.

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

Citations7
Published2013
Admission routes1
Has abstractyes

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