One-Port and High-Sensitivity Angular Displacement Sensor Based on a Microwave Quarter-Wavelength Resonator
Bibliographic record
Abstract
This work presents a high-sensitivity angular displacement sensor using microstrip technology. The sensor configuration includes a stator that incorporates a quarter-wavelength angular segment, which is short-circuited through a via hole. The rotor is designed as a transmission line, precisely aligning with the stator’s angular segment to ensure optimal interaction. This paper provides a comprehensive description of the design methodology and presents the equivalent electrical circuit. Additionally, detailed simulation and measurement results are included. To ensure accuracy, the sensor underwent multiple measurements, which were statistically analyzed. The sensor achieves a dynamic range of 160°, exhibiting excellent linearity across this range and a high sensitivity of 4.7 MHz/°. It also demonstrates a resolution of 2° and maintains precision for each indicated angle, with an average standard deviation of 2.243 × 10−2GHz. Due to its single-port design, this sensor is particularly well-suited for seamless integration as a sensor node within Wireless Sensor Networks (WSN).
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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 | 0.000 |
| 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 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".