Resonator Substrate-Integrated Waveguide (SIW) Sensor for Measurement of AC Electric Fields
Bibliographic record
Abstract
In this paper, a wireless, passive electric field sensor that is based on a substrate-integrated waveguide (SIW) resonator is designed, fabricated, and evaluated. When exposed to an external electric field, the resonance frequency of the resonator shifts due to the variation of the capacitance of a diode varactor that is mounted on the sensor. The sensor is designed to work in the ISM band and demonstrates a high loaded quality factor of more than 200. An interrogation system has been developed that is capable of rapidly measuring the resonance frequency of the resonator and determine the waveform of the external electric field at a rate of 100 kHz. The interrogator sends pulses of radio frequency signals to the sensor and determines the resonant frequency from the ring back that is emitted by the resonator.
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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".