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Record W2903031638 · doi:10.22215/etd/2016-11397

Development of Multifarious Cueing Systems for Cost-Effective Flight Simulation Training Devices

2016· dissertation· en· W2903031638 on OpenAlexaff
Hooman Rajaee

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldEngineering
TopicAerospace and Aviation Technology
Canadian institutionsCarleton University
Fundersnot available
KeywordsFlight trainingFlight simulatorEngineeringSimulationTraining systemSystems engineeringHuman–computer interactionComputer science

Abstract

fetched live from OpenAlex

This project was an investigation for the development of a high-quality cost-effective Cessna 172 type-specific flight simulation training device. The Carleton University redeveloped vector simulator (CURVS) research program consisted of multiple microprojects that were distributed to a team of researchers in the Applied Dynamics Laboratory (ADL) at Carleton University. The main objective of the project was to develop technologies by putting together commercial-off-the-shelf components to build a flight simulation training device that is relatively inexpensive and therefore accessible to smaller flight schools. Visual cueing, vibratory cueing, and sound cueing systems that were developed for the CURVS are the topics of discussion in this thesis. I'd like to acknowledge the staff, faculty, students, and the industry partner who made this amazing research opportunity possible. Robert Langlois, my patient and stunning supervisor; Robert Connors, graceful CEO of Waterloo Wellington Flying Centre who was our industry partner; Brent Cameron, who I

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.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.843
Threshold uncertainty score0.737

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.020
GPT teacher head0.283
Teacher spread0.262 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designOther design
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2016
Admission routes1
Has abstractyes

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