Substrate integrated image guide (SIIG)-a planar dielectric waveguide technology for millimeter-wave applications
Bibliographic record
Abstract
A synthesized version of the standard dielectric image guide, called the substrate integrated image guide (SIIG), is proposed and presented. It provides numerous advantages related to fabrication precision, design flexibility, and assembly cost, whereas it still retains the low-loss properties of its conventional counterpart in the millimeter-wave range. This is achieved by artificially lowering the effective dielectric permittivity around a guiding channel through cutting a periodic pattern of air holes in a single high-permittivity substrate. In this way, entire circuits including millimeter-wave components can be fabricated and assembled subsequently by a lamination process. Details on the propagation properties of the SIIG and design rules are presented. Two different simulation approaches, which have proven useful for analysis are described, and theoretical results are validated by measurements of fabricated prototypes. It is shown that guide attenuation values as low as 35 dB/m or 0.07 dB//spl lambda//sub g/ at 94 GHz can be obtained in practice with high-resistivity silicon as a substrate material.
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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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".