A Novel Microwave Tomography System Using a Rotatable Conductive Enclosure
Bibliographic record
Abstract
A novel microwave tomography (MWT) setup is proposed wherein a rotatable conductive enclosure is used to generate electromagnetic scattering data that are collected at each static position of the enclosure using a minimal antenna array having as few as only four co-resident elements. The antenna array remains fixed with respect to the target being imaged and only the boundary of the conductive enclosure is rotated. To show that non-redundant scattering data can be generated in this way several 2D transverse magnetic imaging examples are considered using single-frequency synthetic data. For each example, the reconstruction of the complex permittivity profile is compared to that obtained using a homogeneous open-region MWT setup having 16 co-resident antennas. The weightedL2-norm total variation multiplicative-regularized Gauss-Newton inversion (MR-GNI) is used for all inversions and for the new MWT setup the data collected at all positions of the conductive enclosure are inverted simultaneously. The quality of images obtained from the two systems is similar, but the advantage of the new configuration is its use of a fixed minimal antenna array which will put less of a burden on the numerical system model.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".