A Communications-based Mission Planning Tool Concept for Low-cost Tactical UXV Operations
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract : New concepts for communications-based tactical decision aids, which can be used for low-costtactical UXV operations, are investigated to provide input for future mission planning tools thatcould be developed for the Royal Canadian Navy. The proposed tactical decision aids provideinformation on where and when communications between a UXV and its base station will beeffective and not effective as a function of the current and future environmental conditions. Therequired signal propagation calculations use data from an Environment Canada numericalweather prediction model and a terrain elevation database. A description is provided of theapproach used to calculate the base quantities (signal-to-noise ratio, , bit error rate) thatare required to form the tactical decisions aids. Example tactical decision aids are calculated fora specific case to demonstrate how this information could be used for planning UXV routes. Theexample case clearly shows regions where communications are effective and not effectivewithin a realistic environment. Experimental trials are required to test the hypothesis that theproposed method is capable of accurately now-casting and forecasting the times and places forwhich a UXV will have effective communication with its base station.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 it