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Record W2949878671 · doi:10.1109/auv.2018.8729732

The idea, design and current state of development of an Unmanned Submersible Surface Vehicle: USSC SeaDuck

2018· article· en· W2949878671 on OpenAlexafffund
Ralf Bachmayer, Brad de Young, Ron Lewis, Haibing Wang, Levi MacNeil, Vincent Sobalski, Federico Luchino, Neil Riggs

Bibliographic record

Venue2018 IEEE/OES Autonomous Underwater Vehicle Workshop (AUV) · 2018
Typearticle
Languageen
FieldEngineering
TopicUnderwater Vehicles and Communication Systems
Canadian institutionsMemorial University of Newfoundland
FundersNational Research Council CanadaSuncor Energy Incorporated
KeywordsUnderwaterMarine engineeringCurrent (fluid)Underwater gliderUnmanned surface vehicleState (computer science)EngineeringSurface (topology)Computer scienceIntervention AUVGliderSea stateRemotely operated underwater vehicleAerospace engineeringMobile robotRobotGeologyElectrical engineeringArtificial intelligenceOceanography

Abstract

fetched live from OpenAlex

This paper describes a new type of unmanned marine system, an Unmanned Submersible Surface Vehicle (USSV) that can operate and maintain control over its direction of motion and speed at the surface as well while submerged. The USSV combines the abilities of an unmanned surface craft with those of an autonomous underwater vehicle, such as an underwater glider or an AUV. We describe the motivation behind this particular design and give an overview of the different modes of operation, including a description of the transitions between the different modes. The paper concludes with the current state of development and testing of the individual subcomponents and gives an outlook of testing to commence in November 2018.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.521
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
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 head0.030
GPT teacher head0.252
Teacher spread0.223 · 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.

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

Citations5
Published2018
Admission routes2
Has abstractyes

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