The design, construction, outfitting,and preliminary testing of the C-SCOUT autonomous underwater vehicle (AUV)
Bibliographic record
Abstract
This thesis presents and discusses the design process, construction, outfitting, and preliminary in-water testing of the C-SCOUT (Canadian Self-Contained Off-the-shelf Underwater Testbed) Autonomous Underwater Vehicle (AUV). This work was carried out from January 1999 to August 2001. C-SCOUT was designed to be of low cost and simple to manufacture while still retaining a multi-mission capability. The designed vehicle is for graduate student research with a limited budget, and is designed to be easily modifiable, small enough to be easily handled, highly maneuverable, and readily adaptable for many missions. A modular design was developed, and the most basic version of the AUV was built and tested as a proof-of-concept vehicle. -- The C-SCOUT Baseline Configuration vehicle is 2.7 metres long, 0.4 metres in diameter, and 1.06 metres from fin-tip to fin-tip. A second vehicle hull, the C-SCOUT 11, has been constructed for hydrodynamic testing on the planar motion mechanism. The control surfaces were designed using Det Norkse Veritas guidelines for highly maneuverable vessels and an in-depth analysis of pressure vessel design was carried out using boiler code from the American Society of Mechanical Engineers. Vehicle powering requirements were estimated using a component buildup method and an empirical database method. Both yielded very similar results. Preliminary in-water tests were conducted to validate the vehicle design methodology. The C-SCOUT AUV performed well in these trials and can now be used as a testbed vehicle for graduate level research.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".