Quarter Wavelength Surface Structures for Improved Operation in Unipolar Capacitive Power Transfer
Bibliographic record
Abstract
Unipolar capacitive power transfer is a unique technique that enables power transmission over single conducting surfaces. The counter electrode is generally an earth ground that is physically isolated from users. This improves safety and alleviates many short-circuiting issues that a bipolar (two plate) capacitive system might encounter. Recent work has shown that by designing the unipolar capacitive receiver to operate in a standing wave resonance mode, surface voltages can be significantly lower with greater power transfer capacity and efficiency. One major challenge to this approach is the influence of surrounding objects which detune the receiver when in close proximity - ceasing power transfer to the receiver's attached load. Here we present a method to mitigate the detuning effect by incorporating a network of quarter wave structures under the power transfer surface. The quarter wave structures create a “wave-shaped” electric field distribution that is confined to a 0.3 m distance surrounding the surface. This greatly reduces the open-ended field emissions while lessening the detuning effect of the receiver from nearby objects. The efficiency and power transfer of the system is analyzed based on the operation of a 10 W LED filament lamp. The effects on the output parameters of the power supply in conjunction with the delivered power as the receiver is spatially varied is explored.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| 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 | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".