Establishment and optimization of human skin charge modeling
Bibliographic record
Abstract
Charging the medical implant device is a hot issue, the current commonly used methods are RF telemetry, transmission of light telemetry, ultrasonic transmission, but their common drawback is that the body's ionic body fluids will affect the transmission efficiency, resulting in energy transmission reliability to reduce. This paper presents a charge model based on human skins, which utilize body's own conductive ability to implement the transfer of energy to the human body implanted electronic devices. This is an innovative way of charging, which is known as the volume conduction transmission. The author uses the classical Maxwell electromagnetic field theory to establish the mathematical model of the volume conduction electromagnetic field. The simulation model of energy transfer based on the volume conduction is established by simulation experiment with COMSOL Multiphysics software, and the input signal frequency, electrode size and electrode shape are compared. The experimental data are analyzed, finally the optimization proposal of the energy transfer efficiency of the bulk is proposed.
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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 | 0.000 | 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".