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Record W1492496862

Underwater communications testing of the multi-mode pipe projector

2006· article· en· W1492496862 on OpenAlexvenueno aff
Richard A. G. Fleming, Donald L. Mosher, Joe Hood, Sean Spears, Charles G. Reithmeier

Bibliographic record

VenueCanadian acoustics · 2006
Typearticle
Languageen
FieldEngineering
TopicUnderwater Vehicles and Communication Systems
Canadian institutionsnot available
Fundersnot available
KeywordsProjectorUnderwaterGlobal Positioning SystemUnderwater acoustic communicationAcousticsSIGNAL (programming language)Computer scienceGPS signalsGeologyRemote sensingAssisted GPSTelecommunicationsPhysics
DOInot available

Abstract

fetched live from OpenAlex

The functionalities of the multi-mode pipe projector (MMPP) as an underwater communications source, was investigated. The three transducer-equipped GPS buoys with its center frequency set for barrel-stave projector at 1500 Hz, MMPP at 1950 Hz and MMPP at 3850 Hz were deployed at testsite off the west coast of Florida in the Gulf of Mexico. Source levels were kept low so that acoustic emission did not exceed the maxima stated in the cruise plan and GPS NMEA data was encoded on hyperbolic frequency modulated (HFM) sweeps at a rate of 8 symbols per second. A group of type SSQ-53F (GPS) sonobuoys were laid to receive the GPS encoded acoustic signal and subsequently retransmit the data via RF link to CFAV Quest. It was observed that signals were received with high signal to noise ratio including 70 % clear and 26 % highly usable transmissions. Results shows that MMPP can be used in underwater communications as its performance is minimally impacted by multi-path distortion at range of 2km.

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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.830
Threshold uncertainty score0.951

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 science0.0010.000
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 head0.038
GPT teacher head0.234
Teacher spread0.196 · 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
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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