UWB compact probe microwave imaging antenna
Bibliographic record
Abstract
The medical imaging has undergone significant advancements, leading to the development of human imaging systems with antennas working at microwave frequencies, thanks to its low-cost, compact size, and the use of non-ionizing waves, to visualize the internal parts of the human body by producing micro-wave images. One of the challenging tasks of a microwave imaging (MWI) system is to design compact miniaturized Ultra-wide band (UWB) antennas at microwave frequency. These antennas are used on-body, so they need to be compact in size. To get a better imaging resolution wide bandwidth is one of the requirements. In this master's thesis an UWB compact Parabolic Back Cavity Waveguide (PBCW) antenna is designed using CST studio. The antenna is matched to the human brain-modelled medium. The PBCW antenna is working with a frequency range from 0.8 GHz to 2.75 GHz, with an overall size of 44.5 mm × 34 mm × 15 mm. The probe antenna is fabricated and measured in the lossy liquid mimicking the average permittivity of the brain medium, the scattering parameters are measured with a network analyzer ZNB40. The result shows a good agreement between the numerical and experimental validation of the antennas.
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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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.003 |
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".