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Record W1955629232 · doi:10.1109/ppc.1999.823627

Three channel pulse power system for underwater acoustic source

2003· article· en· W1955629232 on OpenAlexaboutno aff
P.L. Adair, L.H. Fry, Ray Williams

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicPulsed Power Technology Applications
Canadian institutionsnot available
Fundersnot available
KeywordsUnderwaterTrainChannel (broadcasting)Pulsed powerPulse (music)Power (physics)Electrical engineeringAcousticsSPARK (programming language)Spark gapNavyTelecommunicationsEngineeringComputer sciencePhysicsGeologyVoltageOceanographyGeography

Abstract

fetched live from OpenAlex

A three channel pulsed power system has been developed at the US Navy Coastal Systems Station in Panama City, Florida to provide power for underwater acoustic sources. In the present configuration, the system is capable of providing continuous operation at repetition rates up to 15 Hz and with energies up to 1.5 kJ per pulse per channel into a broad range of loads including spark-type underwater acoustic sources. The system includes three independent banks each of which contain two switcher-type power supplies, each capable of an energy output of 8 kJ/s at 3.2 kV. A highly flexible control system allows the construction of pulse trains with arbitrary trigger timings for each bank. High power silicon controlled rectifiers (SCRs) are used to form the pulse trains. The system is currently located on the deck of a remote controlled QST-35A US Navy target drone boat and provides power for three underwater spark gap acoustic sources (sparkers). The system was recently demonstrated at an Advanced Concept Technology Demonstration (ACTD) military exercise in Newfoundland, Canada.

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)0.000
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 score0.016
Threshold uncertainty score0.054

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0160.005

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 head0.009
GPT teacher head0.205
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 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

Citations1
Published2003
Admission routes1
Has abstractyes

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