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Record W2099619608 · doi:10.1109/imtc.2005.1604471

Quantifying Enhanced Visual Inspection by Using A Laser Displacement Sensor

2006· article· en· W2099619608 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

Venue2005 IEEE Instrumentationand Measurement Technology Conference Proceedings · 2006
Typearticle
Languageen
FieldComputer Science
TopicOptical measurement and interference techniques
Canadian institutionsNational Research Council Canada
Fundersnot available
KeywordsVisual inspectionDisplacement (psychology)Enhanced Data Rates for GSM EvolutionAerospaceComputer visionCalibrationDeformation (meteorology)Artificial intelligenceLaserComputer scienceRepresentation (politics)VisualizationSurface (topology)Materials scienceAcousticsEngineeringOpticsAerospace engineeringGeometryPhysics

Abstract

fetched live from OpenAlex

The Edge of Lighttrade is a patented technique of the Institute for Aerospace Research, National Research Council Canada. One application of interest is the inspection of aircraft lap joints for pillowing deformation caused by hidden corrosion. This rapid enhanced visual inspection technique provides an intuitive result, which is a representation of surface topography. In this study, the quantification of the surface deformation is investigated by using a laser displacement sensor as a calibration tool. A procedure that implements the reconstruction of 3D surface from Edge of Light scanning is proposed. Experimental results obtained from a bump simulator are presented

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.356
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.051
GPT teacher head0.292
Teacher spread0.241 · 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