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Record W2148469562 · doi:10.1109/dasc.1992.282094

An experimental voice command system for management of an integrated navigation system

2003· article· en· W2148469562 on OpenAlexaff
C. D. Hardwick, J.E. Jordan, Carl Swail, M.E. Bower, D.L. Marcotte, G. Hoftyzer

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicAerospace Engineering and Applications
Canadian institutionsNational Research Council Canada
Fundersnot available
KeywordsWaypointCockpitComputer scienceFlight management systemNavigation systemCommand and controlSystems engineeringSoftwareHuman–computer interactionReal-time computingSimulationEngineeringAeronauticsFlight simulatorTelecommunicationsOperating system

Abstract

fetched live from OpenAlex

An experimental voice command and integrated navigation system is described. The implementation is in a Convair 580 research aircraft. The system uses an interactive cockpit display to provide waypoint and routing management, fuel information, aircraft positioning, and navigation information and flight planning functions. For in situ measurement of physical phenomena, steering information is provided on cockpit course deviation indicators from flight guidance software. These functions are integrated together with a Macrospeak voice recognizer, so that voice commands can be used to control the system from the cockpit. The design of the system is discussed, considering the specialized role of the aircraft, including the various design tradeoffs made. The system was used operationally in its present form during recent field experiments including a magnetic survey over the Arctic Ocean.>

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.023
Threshold uncertainty score0.076

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0230.003

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 head0.008
GPT teacher head0.235
Teacher spread0.226 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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

Citations2
Published2003
Admission routes1
Has abstractyes

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