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Record W4236323296 · doi:10.32920/ryerson.14648895.v1

Enhancing the functional design of a multi-touch UAV ground control station

2021· preprint· en· W4236323296 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldEngineering
TopicSimulation and Modeling Applications
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsGestureInterface (matter)Key (lock)FidelityRemote controlControl (management)SimulationComputer scienceVirtual realityHigh fidelityHuman–computer interactionEngineeringComputer hardwareComputer visionArtificial intelligenceTelecommunicationsElectrical engineeringOperating system

Abstract

fetched live from OpenAlex

This thesis presents a reconfigurable Ground Control Station designed for Unmanned Aerial Vehicle use, which utilizes multi-touch gesture inputs as well as the ability for the operator to personalize where the instruments they interact with are located on screen. The Ground Control Station that is presented was designed and developed in Ryerson University’s Mixed-Reality Immersive Motion Simulation Laboratory utilizing commercial off the shelf programs supplied by Presagis. Presagis’ VAPS XT 4.1 beta was used to design and develop the actual Ground Control Station’s User Interface due to its ability to create high quality interfaces for aircraft that harness multi-touch gestures. While FlightSIM 14 was used to simulate a high fidelity aircraft being controlled by the Ground Control Station. The final interface was comprised of six key features and 12 different instrument panels that could be manipulated by the operator to control a simulated aircraft throughout a virtual environment.

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 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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.953
Threshold uncertainty score0.442

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 head0.058
GPT teacher head0.269
Teacher spread0.211 · 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

Quick stats

Citations2
Published2021
Admission routes2
Has abstractyes

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