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Record W2743484851 · doi:10.1299/jsmesports.2006.0_356

B35 Measurement of the deflection of the ski and the snow contacting pressure during the turn

2006· article· en· W2743484851 on OpenAlexaff
T. Yoneyama, Daichi TATSUNO, Nathan Scott, Kazutaka Osada

Bibliographic record

VenueThe Proceedings of Joint Symposium Symposium on Sports Engineering Symposium on Human Dynamics · 2006
Typearticle
Languageen
FieldMedicine
TopicWinter Sports Injuries and Performance
Canadian institutionsWestern University
Fundersnot available
KeywordsDeflection (physics)Torsion (gastropod)Pressure sensorOpticsAcousticsBeam (structure)Structural engineeringMaterials sciencePhysicsEngineeringMechanical engineering

Abstract

fetched live from OpenAlex

A new sensor for detecting a ski deflection and torsion during the actual ski turn on the snow has been developed. Bending sensors and torsion sensors are connected with beams to be formed a long sensor beam. The beam has been equipped on the upper surface of the ski though the central binding plate. The deflection of the ski is conformed from the bending angles of the sensors. The structure of the bending sensor is a pair of thin cross plates fit with strain gauges. The torsion in the forward region and that in the rear region are also detected by torsion sensors that have a structure that two tubes are connected with four thin plates. Deflection test and torsion test was made on the ski attached with the sensor beam to obtain the calibration factor for the sensors. The profile made from the sensor beam agreed well with the directly measured profile. On the other hand, commercial pressure sensors have been embedded on the other ski surface to detect the pressure distribution on the contacting surface with the snow. Measurement was carried out by a test player of Ogasaka company at Shiga kogen. The deflection and the torsion of the ski during the turn have been revealed with the movement on the ski trajectory and the applying force. Pressure distribution near the ski edge has been also measured along the turn trajectory and with the applying force.

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.

How this classification was reachedexpand

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)0.002
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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.318
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.007
GPT teacher head0.203
Teacher spread0.197 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2006
Admission routes1
Has abstractyes

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