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Record W2004953907 · doi:10.5555/1400549.1400659

Development of the Virtual Flight Deck (VFD) simulation environment

2008· article· en· W2004953907 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.

Bibliographic record

VenueSpring Simulation Multiconference · 2008
Typearticle
Languageen
FieldEngineering
TopicSimulation and Modeling Applications
Canadian institutionsCarleton University
Fundersnot available
KeywordsComputer scienceCockpitReal-time computingSimulationSoftwareReal-time simulationDeckEmbedded systemOperating systemEngineeringAerospace engineering

Abstract

fetched live from OpenAlex

In the study of shipboard helicopter operations, simulations have been used in a variety of areas. Most of these simulations involve software implementation of mathematical models that run faster than real-time to produce meaningful results over a long span of time. When human operators or in-service hardware is brought into the simulation, however, the real-time requirement becomes a central issue. The Virtual Flight Deck - Real-Time (VFD-RT) simulation environment is built as an extension to previously-developed mathematical models to meet this real-time requirement. The VFD-RT uses a centralized model to connect the components of the simulation and relies on the Microsoft Windows message system as a means of communication between the different parts of the environment. This paper discusses the development and some limitations of the VFD-RT 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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.323
Threshold uncertainty score0.547

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 head0.048
GPT teacher head0.252
Teacher spread0.204 · 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