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Record W2011029323 · doi:10.2514/6.2008-1662

PC Based Infrared Scene Generation Development

2008· article· en· W2011029323 on OpenAlexaff
Tommy L. Blair, Bill Yeary

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicInfrared Target Detection Methodologies
Canadian institutionsLockheed Martin (Canada)
Fundersnot available
KeywordsInfraredComputer scienceComputer visionArtificial intelligenceRemote sensingGeologyOpticsPhysics

Abstract

fetched live from OpenAlex

The U.S. Air Force Electronic Warfare Evaluation Simulator (AFEWES) is a government-owned, contractor-operated electronic warfare test facility located at Air Force Plant 4, in Fort Worth, Texas. The AFEWES is a Test and Evaluation (T&E) resource of the Air Force Flight Test Center (AFFTC), 412 Electronic Warfare Group (EWG), Edwards Air Force Base, California. AFEWES' mission is to perform effectiveness testing of Department of Defense (DoD) and allied electronic countermeasure techniques to enhance aircraft and aircrew survivability in combat. This paper describes the multi-service and contractor team that successfully defined, designed, developed, tested and implemented state of the art infrared PC based scene generator to be used by DoD. The paper also highlights: Team requirements and low cost solution, Leveraging government owned assets and developing partnerships across DoD.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.013
Threshold uncertainty score0.042

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0130.003

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 head0.097
GPT teacher head0.240
Teacher spread0.143 · 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

Citations0
Published2008
Admission routes1
Has abstractyes

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