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Record W2371654610

Design of an intelligent assist device for control of swing caused by movement and assembly of large-scale parts

2009· article· en· W2371654610 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

VenueHarbin Gongcheng Daxue Xuebao/Journal of Harbin Engineering University · 2009
Typearticle
Languageen
FieldEngineering
TopicElevator Systems and Control
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsSwingRopeControl theory (sociology)Work (physics)AccelerationController (irrigation)SimulationMovement (music)Computer scienceEngineeringControl engineeringAutomotive engineeringControl (management)Mechanical engineeringArtificial intelligencePhysics
DOInot available

Abstract

fetched live from OpenAlex

An intelligent assist device(IAD) is a mechanical device which cooperates with human operators in the same work space.Anti-swing control was studied to see if an IAD can reduce the problem of load swing during moving and assembly of large-scale parts.A mathematical model of horizontal movement was built using Lagrange's principle for work and energy balance.An anti-swing control strategy was developed,and then separate positional and load anti-swing controllers were designed.A simulating study of anti-swing control was done.The results confirmed that the strategy is feasible.The trolley can track a reference position by respectively modifying the length of a wire rope or load mass.The load swing angle is attenuated to zero rapidly by the controller during the processes of acceleration and deceleration.The study has value as a reference for IADs designed for movement and assembly of large-scale parts.

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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.480
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.008
GPT teacher head0.192
Teacher spread0.184 · 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