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Record W2548175228

Utilization of smart transduction devices for flexure control

2004· article· en· W2548175228 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

VenueWorld Automation Congress · 2004
Typearticle
Languageen
FieldMaterials Science
TopicShape Memory Alloy Transformations
Canadian institutionsWestern University
Fundersnot available
KeywordsActuatorSMA*Shape-memory alloyMechatronicsDeflection (physics)Smart materialTransducerFlexibility (engineering)PiezoelectricityControl engineeringComputer scienceEngineeringMechanical engineeringMaterials scienceElectrical engineeringArtificial intelligence
DOInot available

Abstract

fetched live from OpenAlex

This paper is concerned with developing innovative solutions for flexure control of robotic and other mechatronic systems with structural flexibility. It focuses on the utilization of smart sensor and actuator technologies for flexure control. In this regard, use of promising modern sensor and actuator technologies such as piezoelectric (PZT) transducers and shape memory alloy (SMA) actuators is studied. Implementation of a nonlinear control algorithm is presented for a two-link manipulator actuated by PZT transducers. Furthermore, deflection control of a flexible beam is studied using shape memory alloy (SMA) actuators. Experimental results are presented which illustrate the effectiveness of the control algorithms and improved performance of the controllers over conventional ones

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.316
Threshold uncertainty score0.502

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 communication0.0000.001
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 head0.029
GPT teacher head0.290
Teacher spread0.261 · 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