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Record W1989102230 · doi:10.1121/1.3216911

Broadband cluster transducer for underwater acoustics applications

2009· article· en· W1989102230 on OpenAlexaffabout
Richard A. G. Fleming, Dennis F. Jones, Charles G. Reithmeier

Bibliographic record

VenueThe Journal of the Acoustical Society of America · 2009
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicUnderwater Acoustics Research
Canadian institutionsDefence Research and Development Canada
Fundersnot available
KeywordsBroadbandAcousticsUnderwaterTransducerUnderwater acousticsCluster (spacecraft)Computer scienceTelecommunicationsPhysicsGeologyOceanography

Abstract

fetched live from OpenAlex

A broadband cluster transducer, based on barrel-stave flextensional transducer technology, was designed, built, and tested in air and seawater at Defence R&D Canada-Atlantic. The design goal was to develop a transducer that exhibited a transmitting voltage response of greater than 120 dB1 microPa-m/V from 1 to 7 kHz and have the potential for beamsteering. Six orthogonal piezoceramic-driven class I barrel-stave transducer elements mounted on a central manifold were wired separately, allowing each to be driven individually or in combination with the other elements. The resonance modes under the following drive conditions were determined from in-air conductance measurements: each of the six elements excited individually as mass-loaded class I flextensionals, three collinear pairs driven separately as class III flextensionals, and all six elements driven in phase simultaneously. The fully-driven cluster was found to have a transmitting voltage response of greater than 120 dB1 microPa-m/V from 800 Hz to more than 10 kHz and its topology is amenable to beamsteering that is yet to be characterized.

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)0.001
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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.912
Threshold uncertainty score0.271

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.020
GPT teacher head0.269
Teacher spread0.249 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreMethods

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

Citations14
Published2009
Admission routes2
Has abstractyes

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