A Wireless Power Transfer System with Full-Duplex Data Communication for 24V DC Industrial Proximity Sensor
Bibliographic record
Abstract
A high-frequency H-bridge LLC wireless power transfer (WPT) with full-duplex data transfer is presented in this paper. The data transfer from the source to the sensor side is achieved using Frequency Shift Keying (FSK). In contrast, Load Shift Keying (LSK) is used to transfer data from the sensor to the source (or the user). The proposed WPT utilized an LLC converter to achieve soft switching. Moreover, two control parameters (frequency and duty ratio) of H-bridge LLC give the freedom of using one of them (frequency) for data transfer and the other (duty ratio) to regulate the output voltage, which eliminates the requirement for a separate resonant tank for FSK. The detailed simulation results for the Industrial Proximity sensor (24V and 360mW), as well as the experimental results are shown to demonstrate the performance and features of the presented work.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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".