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Record W2140801996 · doi:10.1109/apex.2007.357684

A Novel Single-Stage Dimmable Electronic Ballast with High Efficiency and Unity Power Factor Using an Integrated Buck-boost Current Source Resonant Inverter

2007· article· en· W2140801996 on OpenAlexaff
John Lam, Praveen Jain

Bibliographic record

VenueConference proceedings/Conference proceedings - IEEE Applied Power Electronics Conference and Exposition · 2007
Typearticle
Languageen
FieldEngineering
TopicAdvanced DC-DC Converters
Canadian institutionsQueen's University
Fundersnot available
KeywordsBallastPower factorResonant inverterInverterElectronic engineeringElectrical engineeringRLC circuitTimerPower (physics)InductorBuck converterEngineeringComputer scienceVoltageCapacitorMicrocontrollerPhysics

Abstract

fetched live from OpenAlex

A novel single stage dimmable electronic ballast with high efficiency using an integrated buck-boost current fed resonant inverter is presented in this paper. A compact lamp power circuit is designed with the proposed resonant inverter has the advantages of reduced circulating current and having easy switch drivers configuration to eliminate the use of isolation devices. The buck-boost stage operating in discontinuous conduction mode (DCM) allows a close to unity power factor to be achieved for different lamp power conditions. A simple variable frequency controller is developed using the modified 555 timer to provide dimming operations. Experimental waveforms are provided to highlight the merits of the proposed circuit on a 42W compact fluorescent lamp.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication
Consensus categoriesMeta-epidemiology (narrow)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.592
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.002
Open science0.0010.000
Research integrity0.0010.002
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 head0.018
GPT teacher head0.222
Teacher spread0.204 · 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

Citations5
Published2007
Admission routes1
Has abstractyes

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