Data Communication Over a Novel Capacitive Resonant Wireless Power Transmission System
Bibliographic record
Abstract
This paper presents the performance of a novel capacitive resonant wireless power transmission (WPT) system as a communication link. To test the system's ability to transmit data, a channel model of the implemented system was created in MATLAB, along with a non-coherent receiver model, and used in a simulation to obtain the bit error rate by passing 10,000 on-off keyed symbols through it. Because the system utilizes resonant coupling, which is detrimental to the ability to communicate data due to the inherent narrowband nature of resonance, both maximum power transfer and maximum data rate cannot be achieved simultaneously. As a result, modified Miller encoding (which is used in RFID) was used in the simulation to encode the data and the data rate was slowed down to improve the bit error rate. Both simulations have shown that the WPT system has comparable performance to an additive white Gaussian noise channel given an appropriate data rate.
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How this classification was reachedexpand
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 | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".