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Record W4394623981 · doi:10.25144/20688

UNDERWATER ACOUSTIC COMMUNICATION CHANNEL CHARACTERIZATION AT LOW FREQUENCIES IN SHALLOW WATER

2024· article· en· W4394623981 on OpenAlexaffabout
J. Barrie Franklin, P Rand Barry

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicUnderwater Vehicles and Communication Systems
Canadian institutionsDepartment of National DefenceDefence Research and Development Canada
Fundersnot available
KeywordsUnderwater acoustic communicationUnderwaterAcousticsChannel (broadcasting)Waves and shallow waterUnderwater acousticsWater channelCharacterization (materials science)Computer scienceGeologyTelecommunicationsOceanographyPhysicsOptics

Abstract

fetched live from OpenAlex

The channel characteristics for sound propagating at 1100 Hz off Nova Scotia, Canada in winter conditions were measured at a shallow water station over Sable Bank. Experimental and model results for propagation loss and time spreading are compared at source-receiver separations out to 180 kilometers. Relatively little time spreading was observed which is consistent with propagation dominated by a small number of modes. The low propagation losses observed are attributed to low bottom losses. The data were gathered using mobile platforms. The observed frequency spreading (typically 0.25 Hz) is attributed to platform motion excited by motion of the sea surface. The applicable propagation parameters are used to predict the channel capacity of a Differential Quadrature Phase Shift Keying communication system operating in the same environment and using a vertical receiving array to provide modal decomposition (mode filtering). The issue of providing suf cient transmitter power to meet a speci c error rate speci cation is also addressed.

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)0.000
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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.637
Threshold uncertainty score0.820

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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 head0.015
GPT teacher head0.207
Teacher spread0.192 · 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 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
Published2024
Admission routes2
Has abstractyes

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