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Record W1518642453

The development of a robust Autonomous Surface Craft for deployment in harsh ocean environment

2013· article· en· W1518642453 on OpenAlex
Zhi Li, Ralf Bachmayer

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

Venue2013 OCEANS - San Diego · 2013
Typearticle
Languageen
FieldEngineering
TopicUnderwater Vehicles and Communication Systems
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsMarine engineeringDOCKWirelessSoftware deploymentTerminal (telecommunication)EngineeringController (irrigation)Real-time computingInterface (matter)Synchronization (alternating current)Computer scienceSimulationTelecommunicationsOperating systemChannel (broadcasting)
DOInot available

Abstract

fetched live from OpenAlex

In this paper, a robust Autonomous Surface Craft (ASC) that is capable of operating in harsh ocean environments near the coastal waters of Newfoundland and Labrador is introduced. The reliable Controller Area Network (CAN) protocol is implemented to build the onboard communication and control system. As a distributed system, the time synchronization between different CAN nodes is resolved using the Time Reference Message (TRM). This ASC integrates a long-distance wireless modem for wireless data logging and supervisory command updates. In addition, a MATLAB based user interface is tentatively used as the ASC control and data display terminal on the dock-side computer. Full-scale resistance and self-propulsion tests are performed at the tow tank of Memorial University, and the drag coefficient and a bilinear thruster model are generated. The sea trials are performed at Holyrood Arm, Conception Bay, Newfoundland, for the validation of the tow tank experimental results.

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.

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 score0.520
Threshold uncertainty score0.512

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 head0.021
GPT teacher head0.204
Teacher spread0.183 · 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