Analysis and Experimental Study of Magnetic-Field Amplification by a Double Coil
Bibliographic record
Abstract
We investigated the amplification of the magnetic field generated by a floating coil placed in resonance with a driving coil connected to a signal source. With this method, the magnetic field can be amplified without increasing power consumption of the signal source. From an equivalent-circuit model composed of the floating and driving coils, we derived useful formulae for maximizing the magnetic-field amplitude at an arbitrary target frequency. The validity of the formulae was experimentally demonstrated. It was found that under specific conditions, the current induced in the floating coil can be increased by more than one order of magnitude compared to the current in the driving coil, leading to amplification of the magnetic field that reaches 22 dB at the target frequency of 10 MHz without increasing power consumption. We also found that the floating coil is effective in suppressing undesirable magnetic field components originating from common-mode currents. These results pave the way to further reduction of the power consumption in wireless communication schemes such as near field communication.
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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 | 0.001 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".