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Record W367064978 · doi:10.22260/isarc2004/0076

Integrated 3D Object Transformation and Simulation for Tower Crane Operations on Construction Sites

2004· article· en· W367064978 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueProceedings of the ... ISARC · 2004
Typearticle
Languageen
FieldEngineering
TopicBIM and Construction Integration
Canadian institutionsUniversity of Alberta
FundersNatural Sciences and Engineering Research Council of CanadaNeurosurgery Research and Education Foundation
KeywordsLift (data mining)Computer scienceTowerAnimationTransformation (genetics)Computer graphics (images)3D modelingEngineering drawingModel transformationSimulationEngineeringStructural engineeringArtificial intelligence

Abstract

fetched live from OpenAlex

This paper presents a methodology for integrating 3D (three-dimensional) object transformations with simulation in order to build a 4D model to aid practitioners to visualize tower crane operations on the computer screen. Since the detailed project schedule is already divided into work-packages, the proposed methodology will further divide each work-package in to lift-packages. Each lift-package is geometrically designated for its source and final 3D-geometrical location in space. Additionally, the output of the simulation module will provide the simulated most probable time required to perform each lift. This paper focuses primarily on describing the 3D-geometrical transformation module and its integration with the simulated module.

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 score0.121
Threshold uncertainty score0.320

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 head0.011
GPT teacher head0.220
Teacher spread0.209 · 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