Characterization of commercial LED lamps for power quality studies
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.
Bibliographic record
Abstract
Continuous research to achieve high luminous efficiency with low cost LED lamps has widen the field of LED lighting applications, which dictates the need to study different characteristics of commercial LEDs and their impact on power quality parameters. This paper addresses the negative influence of utilizing LED lamp as a lighting source on power grid and on public health. The operation of the LED and its behavior as a nonlinear load has been further discussed. Various experimental tests that include harmonic analysis, voltage flickering voltage sag, swell and voltage harmonics have been conducted to investigate current and voltage quality issues. This paper aims at a better understanding to the characterization of commercial LED lamps in order to highlight the need for power quality improvement techniques for such an application also the need for new developments that improve LEDs internal power electronic driving circuit.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it