Enhanced RF response of 3D-printed wireless LC sensors using dielectrics with high permittivity
Why this work is in the frame
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Bibliographic record
Abstract
Abstract The development of wireless sensing technologies paves the way for advances in the fields of wearable devices, prosthetics and robotics. Wireless communication between sensors and readers plays an important role in recent Internet of Things technologies. Among many types of wireless sensing devices, wireless passive radio frequency devices including inductor-capacitor (LC) resonators have been spotlighted. However, passive LC sensors suffer from short-range wireless detection, and their fabrication requires several processes. Here, we design a 3D integrated wireless compact LC location sensor fabricated using the 3D printing method for multi-layered devices. The fabricated wireless sensing system shows an increased wireless readout distance of up to 10 cm. In addition, a dielectric material with high dielectric permittivity has been applied to enhance the quality factor of the sensors by 2.5 times with improved wireless detection.
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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 | 0.001 |
| 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 it