Application of UWB Arrays for Material Identification of Multilayer Media in Metallic Tanks
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
In this paper, a compact eight-element antenna array is designed for ultra-wide band (UWB) pulsed radar in highly reflective metallic environments, such as storage and transport tankers. The impact of the sidewalls in metallic tanks is to increase noise and create spurious signals due to sidewall reflection that limits accuracy and causes liquid level and material property measurement errors. The designed Vivaldi antenna and array are characterized in terms of the transient energy patterns and the signal fidelity given in terms of the off-angle signal correlation. Comparison with horn antennas is made. Antenna transient signals are calculated from the frequency-domain data. The 10-dB transient energy pattern beamwidth in the E-plane is improved from 130° to 50° using the eight-element array versus single element. Also, the signal correlation and fidelity for off-broadside angles is greatly reduced. The reflection data from a multilayer of canola oil on metal-backed marble is processed with a calibrated layer-stripping technique for material properties. The transient radiation patterns of the array are compared to that of two horn antennas with similar dimensions. The noise/interference and measurement error is shown to be greatly reduced using an array compared to horn antennas in a realistic tank environment.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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