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Record W2992664872

Development of a low-cost system to evaluate coupling forces on real power tool handles

2011· article· en· W2992664872 on OpenAlex
Pierre Marcotte, Surajudeen Adewusi, Subhash Rakheja

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.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueCanadian acoustics · 2011
Typearticle
Languageen
FieldEngineering
TopicMuscle activation and electromyography studies
Canadian institutionsConcordia UniversityInstitut de recherche Robert-Sauvé en santé et en sécurité du travail
Fundersnot available
KeywordsLinearityCoupling (piping)AmplifierPressure sensorPower (physics)CalibrationComputer scienceFunction (biology)Surface (topology)AcousticsEngineeringElectronic engineeringMechanical engineeringPhysicsMathematicsGeometry
DOInot available

Abstract

fetched live from OpenAlex

A low cost system based on two rigid thin film pressure sensors located on two sections of the handle between the operator hand and the tool handle is developed to evaluate coupling forces on real power tool handles. The proposed system is made of two custom FlexiForce&reg sensors from Tekscan Inc. and these sensors act as single distributed force sensors and can be trimmed to the desired shape and size. The sensors with its amplifier were calibrated on a flat surface by applying a force distributed over its entire area. The outputs of the sensor, as a function of the force applied on the pressure sensor on a flat surface, are shown. Linear correlation coefficients slightly above 0.99 are obtained for each of the three trials, confirming the linearity of the sensor. The palm sensor responses are found to be a function of push force applied by one of the subjects for three different trials.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.821
Threshold uncertainty score0.498

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 head0.022
GPT teacher head0.217
Teacher spread0.195 · 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