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Record W1568332925

A Case Study of Hibernia Illustrating the Benefits of AIS Transponders on Oilrigs

2005· article· en· W1568332925 on OpenAlexaboutno aff
Tim Hammond

Bibliographic record

VenueDefense Technical Information Center (DTIC) · 2005
Typearticle
Languageen
FieldEngineering
TopicMaritime Navigation and Safety
Canadian institutionsnot available
Fundersnot available
KeywordsAutomatic Identification SystemTransponder (aeronautics)TelecommunicationsComputer securityIdentification (biology)Computer scienceOperations researchEngineering
DOInot available

Abstract

fetched live from OpenAlex

Automatic Identification Systems (AIS) are VHF transponders that continuously transmit detailed information about the vessels on which they are deployed. This information includes the ship's identity, course, destination, cargo, and position. As of the end of 2004, the use of AIS is mandatory for most international vessel traffic. This paper proposes that an AIS transponder be installed on the Hibernia oilrig, that the AIS data received by it be fused with ship tracks from Hibernia's radar systems, and that these fused tracks be forwarded to the Marine Security Operations Centre (MSOC) at TRINITY by satellite communications. It also describes the benefits for Hibernia and Canada's Recognized Maritime Picture, and so makes the case for AIS installations on other offshore platforms. The paper explores two options for ensuring that the track data are forwarded for the foreseeable future: by individual contractual arrangements or by new government regulations requiring the collection of AIS data by oilrigs more generally. The latter would provide permanent, more extensive coverage than individual contractual arrangements could promise.

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: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.258
Threshold uncertainty score0.410

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)0.0000.000

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 head0.022
GPT teacher head0.236
Teacher spread0.214 · 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

Citations0
Published2005
Admission routes1
Has abstractyes

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