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Record W1781958815

Leeway of Submarine Escape Rafts and Submarine Emergency Positioning Beacons

2006· article· en· W1781958815 on OpenAlexaboutno aff
C. Turner, Thomas C. Waddington, John T. Morris, Vladimir Osychny, Pamela Luey

Bibliographic record

VenueDefense Technical Information Center (DTIC) · 2006
Typearticle
Languageen
FieldEngineering
TopicMaritime Navigation and Safety
Canadian institutionsnot available
Fundersnot available
KeywordsSubmarineBeaconMarine engineeringEnvironmental scienceWind speedBuoyMeteorologyComputer scienceGeologyGeodesyAeronauticsEngineeringReal-time computingPhysics
DOInot available

Abstract

fetched live from OpenAlex

The leeway behavior of Submarine Emergency Position Indicating Radio Beacons (SEPIRBs) and Mark-10 Submarine Escape and Immersion Equipment (SEIE) life rafts was measured for use in search and rescue planning. SEIE and SEPIRB drift targets were outfitted with position tracking equipment, and one raft was also equipped with a current profiler. The targets were deployed and tracked along with Self-Locating Datum Marker Buoys (SLDMBs) under generally heavy wind and sea conditions during fall 2005 on the Atlantic Ocean off St. John's, Newfoundland, Canada. The duration of each test ranged from 24 hours to approximately 60 hours. Maximum wind speeds (5-minute averages) ranged from just under 20 knots to nearly 40 knots, with gust speeds to 43 knots. SEIE and SEPIRB leeway speeds were determined either directly from the current profiler data or indirectly using the SLDMB data. Leeway coefficients for SAR planning use were calculated using the concurrent wind data. The leeway speed of the undrogued raft was greater than that of the drogued raft. The data indicate that SEPIRB leeway is zero. The study recommends that these coefficients be incorporated into submarine survivor search planning guidance. Problems with raft performance were encountered that were attributed to the installed instrument package, instrument mounting materials incompatibility and the absence of a human passenger in the high wind and wave environment. Issues with SEPIRB operation and performance are also noted.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.343
Threshold uncertainty score0.685

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 communication0.0000.001
Open science0.0000.000
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 head0.005
GPT teacher head0.201
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 designObservational
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

Citations2
Published2006
Admission routes1
Has abstractyes

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