Bibliographic record
Abstract
In consideration of the complicated fading characteristics of high frequency( HF) channel and the difficulty of reappearing in simulation,a combined method of NS2( Network Simulation 2) and VOACAP( Voice of America Coverage Analysis Program) is proposed to simulate HF channel. Based on Walnut Street Model,the HF channel fading is divided into slow fading,mid-time scale fading and fast fading. In the fading model of HF propagation model,VOACAP is called in C++ to calculated slow fading on need, medium time scale fading is treated as log-normal distribution and fast fading is treated as Rayleigh distribution. The simulation results show that,this model can reveal the fading characteristics of HF channel, and the change of frequencies' fading with time of day is consistent with that of theory and experience. So this model may serve as the base of physical layer in HF network simulation. Meanwhile,the joint simulation method used in this paper avoids the complexity of calculation of channel fading before simulation,so it's more suitable for large scale HF network simulation.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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".