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Record W1980439476 · doi:10.1117/12.2008949

Pressure mapping system based on guided waves reflection

2013· article· en· W1980439476 on OpenAlexafffund
Nicolas Quaegebeur, Patrice Masson, Louis-Philippe Brault, Nicolas Beaudet, Philippe Sarret

Bibliographic record

VenueProceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2013
Typearticle
Languageen
FieldEngineering
TopicAdvanced MEMS and NEMS Technologies
Canadian institutionsUniversité de Sherbrooke
FundersCanadian Arthritis Network
KeywordsActuatorAcousticsReflection (computer programming)Pressure waveOpticsElectrical impedanceMaterials scienceResolution (logic)Measure (data warehouse)Image resolutionPressure measurementComputer sciencePhysicsArtificial intelligence

Abstract

fetched live from OpenAlex

In this paper, a guided wave-based pressure mapping system is presented for medical and touch-screen applications. Piezoceramics are used as actuators and to measure the reflected waves due to an added mass or local pressure, responsible for a change of local surface impedance. SHM imaging algorithms are implemented in order to obtain cartography of the reflections and deduce the presence, localization and intensity of pressure spots. Analytical and numerical models are validated on an aluminum plate prototype instrumented using 1 actuator and 2 sensors. It is observed that imaging of single or multiple pressure spots is achieved using both A0 and S0 modes around 300 kHz with a resolution of 0.5 mm.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.002

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 head0.014
GPT teacher head0.227
Teacher spread0.213 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations1
Published2013
Admission routes2
Has abstractyes

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Same venueProceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIESame topicAdvanced MEMS and NEMS TechnologiesFrench-language works237,207