Investigation of the inductive link parameter variations on the wireless power transfer system efficiency
Bibliographic record
Abstract
In our days, all portable electronic devices require energy to operate properly. Batteries' short lifetimes that supply these devices are a major disadvantage for their good use. The problem becomes even more delicate when it comes to medical implants, for surgical operations necessity to replace the battery after each life cycle. Therefore, Wireless Power Transfer (WPT) has been emerged as a promising solution to overcome any health problem or any dangerous side effect caused by surgery. In this work, we have designed and implemented two WPT systems using the Resonant Inductive Coupling (RIC) technique to ensure WPT. Each system contains a transmitter and a receiver circuit. The difference is that we propose to vary several inductive link parameters from one system to another like the supply voltage, the coils design and the transfer distance between coils. The objective behind these experiences is to investigate the influence of the inductive link parameter variations on the power transfer efficiency. Experimental results have highlighted that inductive link parameter variations largely influence the power transfer efficiency between the transmitter and the receiver coil.
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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 | 0.001 | 0.003 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".