An Open-Loop Double-Carrier Simultaneous Wireless Power and Data Transfer System
Bibliographic record
Abstract
In this brief, an open-loop double-carrier simultaneous wireless power and data transfer system is presented. Although the system is intended for implantable biomedical microsystems, it can also be used for other low-power applications such as Internet of Things (IoT). In the proposed system, uplink data communication (from the implant to the outside of the body) is implemented by switching a capacitor on the implant site. This switching results in changing the resonance frequency between two different frequencies during different periods of time. To keep the power transfer efficiency (PTE) and the power delivered to the load (PDL) almost constant, two external power transmitters, each working at its own distinct frequency, are employed. The closed-loop control unit, which is commonly used to synchronize the timing between transmitter and receiver, is avoided to enhance the overall performance, including the data rate and efficiency, and to reduce the complexity of the system. In a proof-of-concept prototype, about 44 mW of power is transmitted to a 750 Ω resistive load over f1= 1.93 MHz and f2= 1.44 MHz with an average efficiency of 39%. A data rate of 50 kb/s has also been achieved for the uplink telemetry.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.002 |
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".