Wideband measurements of channel characteristics at 2.4 and 5.8 GHz in underground mining environments
Bibliographic record
Abstract
This paper analyzes the results of wideband radio channel measurements conducted in an underground mining environment at center frequencies of 2.4 GHz and 5.8 GHz using a vector network analyzer. Relevant impulse response parameters such as the rms delay spread and the relative multipath total power are presented and compared for the two bands. The measurements suggest that in such an underground gallery and in the two frequency bands, random reflections have the effect of flattening the relationship between the rms delay spread and distance. In the 2.4 GHz band, the rms delay spread is less than or equal to 6.34 nanoseconds for 50% of all measurement locations. The corresponding value for the 5.8 GHz band is 4.98 nanoseconds. In general, it has been observed that underground radio channel characteristics are influenced by the configuration of this peculiar environment.
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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 | 0.000 | 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 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".