The development of a robust Autonomous Surface Craft for deployment in harsh ocean environment
Bibliographic record
Abstract
In this paper, a robust Autonomous Surface Craft (ASC) that is capable of operating in harsh ocean environments near the coastal waters of Newfoundland and Labrador is introduced. The reliable Controller Area Network (CAN) protocol is implemented to build the onboard communication and control system. As a distributed system, the time synchronization between different CAN nodes is resolved using the Time Reference Message (TRM). This ASC integrates a long-distance wireless modem for wireless data logging and supervisory command updates. In addition, a MATLAB based user interface is tentatively used as the ASC control and data display terminal on the dock-side computer. Full-scale resistance and self-propulsion tests are performed at the tow tank of Memorial University, and the drag coefficient and a bilinear thruster model are generated. The sea trials are performed at Holyrood Arm, Conception Bay, Newfoundland, for the validation of the tow tank experimental results.
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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) | 0.000 | 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 | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".