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Record W2029949201 · doi:10.1109/ultsym.2012.0456

Direction of arrival estimation using asymmetric mode components of CMUTs

2012· article· en· W2029949201 on OpenAlexaff
Wei You, Edmond Cretu, Robert Rohling

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMedicine
TopicUltrasound Imaging and Elastography
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsCapacitive micromachined ultrasonic transducersAcousticsFrequency domainAmplitudeMode (computer interface)TransducerSensitivity (control systems)Materials sciencePhysicsComputer scienceOpticsElectronic engineeringEngineering

Abstract

fetched live from OpenAlex

This paper investigates a novel method for estimating the direction of arrival of acoustic waves for ultrasound imaging arrays using the asymmetric mode components of CMUTs. The method is based on the correlation between the amplitude of resonant asymmetric mode of the CMUT membrane and the arriving angles of the acoustic waves. The asymmetric mode can be extracted by subtracting the signals received by a multielectrode CMUT cell and filtering in the frequency domain. FEM and acoustic field simulations show that the sensitivity of distinguishing the angles is higher using the asymmetric mode of a single CMUT cell than simple subtraction of neighboring cells. An experimental analysis was performed of a multi-electrode CMUT cell and asymmetric behavior was demonstrated.

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)0.002
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 score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.028
GPT teacher head0.303
Teacher spread0.275 · 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

Citations3
Published2012
Admission routes1
Has abstractyes

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