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Record W2100687246 · doi:10.1109/robot.1996.509208

A conical mirror pipeline inspection system

2002· article· en· W2100687246 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

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicImage and Object Detection Techniques
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsConic sectionConical surfacePipeline (software)Pipeline transportComputer scienceComputer visionFrame (networking)Process (computing)Artificial intelligenceSurface (topology)Line (geometry)Image qualityOpticsComputer graphics (images)Image (mathematics)EngineeringPhysicsMechanical engineeringGeometryMathematics

Abstract

fetched live from OpenAlex

Presents a novel system that provides high quality imaging of the interior surface of pipelines. The imaging device uses a refined conical mirror micro-surface machined from aluminum to image a 360/spl deg/ strip of the pipe in a single frame. A continuous stream of such images is transmitted to the surface where it is stored on a standard video recorder. The image sequences are processed off-line, ultimately producing high definition imagery of areas of interest. We address the design issues of the conic profile of the mirror, and some aspects of the image reconstruction/registration process.

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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.962
Threshold uncertainty score0.657

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)0.0000.001

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 head0.017
GPT teacher head0.219
Teacher spread0.202 · 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

Citations16
Published2002
Admission routes1
Has abstractyes

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