Development of a Cost-Effective High-Fidelity Type-Specific Flight Simulator with Emphasis on Flight Modelling
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
This project was an investigation into the feasibility of developing a cost-effective highfidelity type-specific small aircraft simulator for use as part of an ab-initio flight training program. The development of the KatanaSim, a Diamond DA20-A1 Katana flight simulator built with commercial off-the-shelf components and original aircraft parts wherever possible, proved the feasibility of the endeavour. Particularly successful was the high level of physical fidelity achieved by the use of original aircraft parts, most notably a Katana fuselage. The development cost of the KatanaSim was significantly less than the six and seven figure costs usually associated with high-fidelity flight simulators. In order to acquire the data necessary for flight model evaluation and tuning, a minimally-intrusive flight testing methodology for small aircraft was developed. A compact instrumentation package was designed and tested, and a flight permit from Transport Canada was obtained. Two flight tests in a DA20-A1 Katana were completed and several hours worth of flight testing data was acquired. X-Plane, by Laminar Research, was chosen as the core simulator software and Plane Maker, a part of the same package, was used to develop the flight model. Aircraft model parameters were obtained from published data sources, and empirical measurements and
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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) | 0.001 | 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