Detection of the Defective Vias in SIW Circuits From Single/Array Probe(s) Data Using Source Reconstruction Method and Machine Learning
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Bibliographic record
Abstract
In this article, a new approach to detect the defective vias in substrate-integrated waveguide (SIW) structures is proposed. First, very near-field radiations of SIW structures are measured using either a single magnetic field probe or a fast electronically switched probe array. A source reconstruction method is utilized to calculate the equivalent electric and magnetic currents on the surface of the SIW structure under investigation. Thereafter, these equivalent sources are used to obtain the magnetic fields very close to the sample boards. A machine learning algorithm is used to distinguish the radiations that are due to the defective vias from those because of radiating parts of the circuit such as feed lines. The simulation and measurement results confirm the validity and accuracy of this high-resolution method.
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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 | 0.001 | 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