Wireless Communication in Feedback-Assisted Active Sensors
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
A novel wireless high-resolution resonant-based microwave sensor is presented for chemical sensing applications. A combination of antenna with a planar microstrip resonator increases the flexibility, durability, and reliability while extending the application of the sensor to areas with limited access and harsh environments. The main core of this sensor is a passive planar resonator, which operates at 1.41 GHz and is reinforced by a regenerative active feedback circuitry. The regenerative active feedback loop compensates the power loss of the sensor and, as a result, provides an extremely high-quality factors. Four bow-tie slot antennas of the moderate gain of 5 dB, linearly polarized over the frequency span of 1.35-2 GHz is used to communicate in short range. The sensor model is implemented using the finite-element method and a complete set of simulation is presented. The simulation results are confirmed by the measurements for resonant profile variation in material sensing. The initial quality factor of the fabricated sensor, considering the antennas and resonator loss is Q ≈22000, which broadens the range of sensing platforms into classification of low concentrated (0.003125-0.1 g/mL) salt water as well as material detection of common chemicals such as IPA, acetone, ethanol, methanol, and water.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 it