Bibliographic record
Abstract
This work proposes a novel and simple microwave technique for controlling the coupling factor between complementary split-ring resonators (CSRRs) and microstrip transmission lines (TLs), which can be applied to the design of highly sensitive dielectric sensors. By varying the areas of the rectangular CSRRs while maintaining a fixed perimeter, the side lengths along TLs are varied, causing the coupling factor to be controlled. As a result, the physical sensing areas are miniaturized, which is important for various applications, leading to an enhancement in sensitivity. In addition, we demonstrate that the critical coupling between the external circuit (e.g., TLs) and CSRRs can be easily achieved if required by certain applications. Our simulations and experimental measurements demonstrate that our approach can relatively reduce the physical sensing areas by up to 69.4%. These results can help engineers to design compact sensors. Compared with a recently published work, the enhanced sensitivity for detecting the presence of dielectric materials is 63.16%. Our results provide a roadmap for satisfying different design constraints and specifications and demonstrate the potential for this technique to be adopted in a variety of dielectric sensing and filter applications.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".