Experimental characterization of the UWB channel for an underground mining vehicle
Bibliographic record
Abstract
In this paper, an experimental characterization of the ultra-wideband (UWB) channel for an underground mining vehicle is presented. A comparison of the results obtained inside and outside a mining environment is done. The frequency domain channel measurements have been carried out in the 2 GHz to 6 GHz frequency band. The pass loss model is extracted for the measurements inside and outside of the underground mine. The path loss exponents in both scenarios are found to be around 2. A simple statistical model is proposed for the delay spread and, in both cases, there are no relations between the delay spread and the transmitter receiver distance. Aikake information criterion is used as a goodness of fit for comparison of different statistical distributions to the delay spread of the vehicle inside the mine. The reflective nature of the vehicle environment is shown in the power delay profile and with the Ricean K-factor.
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How this classification was reachedexpand
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 | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".