A novel communication system for firefighters using audio/video conferencing/sub-conferencing in standalone MANETs
Bibliographic record
Abstract
As of today's current communication system, all Fire Fighters (FFs) use the simplex Radio Frequency (RF) system (walkie-talkie) to communicate with each other. Serious problems and injuries can occur because of the current communications system; so far, very little attention has been dedicated to solve these problems. Mobile Ad-Hoc Networks (MANETs) are infrastructure-less and self-organized wireless networks. MANETs are suitable for the hosting of a wide range of applications in emergency situations, such as natural or human-induced disasters, and military and commercial settings. This paper focuses on building a new communication system for FFs and provides them with new functions on the fire ground, e.g. conferencing audio and video. The limitations of the current communication system are determined, and the requirements are derived. A cluster-based signaling architecture supporting Audio/Video Conferencing/Sub-conferencing has been proposed. The proposed architecture implementation using SIP is also presented along with the performance evaluation.
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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 | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".