Modified Wheeler Caps for Antennas Used in IoT Applications
Why this work is in the frame
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Bibliographic record
Abstract
Internet of Things (IoT) technology used for asset tracking in the transportation and logistics industry often relies on wireless electronic devices placed close to large metal surfaces. Due to how metal affects the radiation properties of an antenna, these surfaces need to be accounted for during measurements. While Wheeler caps offer a simple method of measuring antenna radiation efficiency, they require a small size to remove cavity modes; therefore, accommodating a large metal plate below the antenna results in a greater number of these modes. To resolve this, multiple modified Wheeler cap designs are compared to a conventional design to improve the accuracy of the calculated radiation efficiency. The proposed adjustable length Wheeler cap was verified in simulation and experiment to significantly reduce the average error over a typical IoT antenna’s operating bandwidth.
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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 | 0.000 |
| 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