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Record W2020936081 · doi:10.1121/1.4786779

Broadband barrel-stave flextensional transducers

2006· article· en· W2020936081 on OpenAlexaboutno aff
Dennis F. Jones

Bibliographic record

VenueThe Journal of the Acoustical Society of America · 2006
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicUnderwater Acoustics Research
Canadian institutionsnot available
Fundersnot available
KeywordsSonarBroadbandAcousticsUnderwaterTransducerNova scotiaDirectivityGeologyOceanographyEnvironmental scienceMarine engineeringTelecommunicationsComputer scienceEngineeringPhysics

Abstract

fetched live from OpenAlex

The last time I discussed underwater transduction technologies with Joe Blue was at the 125th Meeting of the Acoustical Society of America in May 1993. As we enjoyed lunch on the patio of a downtown Ottawa bistro under a sunny spring sky, the discussion touched on broadband transducers for naval applications. His ideas were insightful, motivating me to redesign and improve my original 1989 broadband barrel-stave flextensional transducer the following year. Over the last decade 30 experimental units were built at DRDC Atlantic, most of them used in marine mammal and coastal surveillance applications [D.F. Jones, J. Acoust. Soc. Am. 117, 2447 (2005); 118, 2038–2039 (2005)]. This paper will present electroacoustic measurements made at both the DRDC Atlantic Acoustic Calibration Barge on Bedford Basin near Halifax, Nova Scotia and the NAVSEA Seneca Lake Sonar Test Facility near Dresden in upstate New York. The performance parameters of interest include resonance frequencies, mechanical quality factors, transmitting voltage response versus water depth, and directivity patterns. [Work supported in part by the Office of Naval Research.]

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.866
Threshold uncertainty score1.000

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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.013
GPT teacher head0.236
Teacher spread0.222 · 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 designSimulation or modeling
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
Published2006
Admission routes1
Has abstractyes

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