Establishing network connectivity under rubble using a hybrid wired and wireless approach
Bibliographic record
Abstract
Under rubble communication is a well-known difficult problem. This is due to a number of inherent difficulties including plentiful and diverse physical obstacles that challenge both wired and wireless communication. Our previous work has shown that it is possible to use Urban Search and Rescue (USAR) dogs to deliver emergency supplies, robots and surveillance equipment to a patient trapped in rubble. As a continuation of this work, we propose a novel approach for establishing a line of communication between rescuers and trapped victims via a hybrid wired and wireless network. The delivery method utilizes rescue canines to automatically deploy a communication node upon locating a patient. The communication node is a WiFi access point with a tethered connection to an exterior command centre. Our preliminary results demonstrate that it is possible to establish two-way audio and video communication with a simulated patient using a human-delivered tether. Future experiments will test the efficacy of canine delivery.
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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) | 0.001 | 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".