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Record W1900223544 · doi:10.1109/ccece.2015.7129519

AIS data exchange protocol study and embedded software development for maritime navigation

2015· article· en· W1900223544 on OpenAlexaff
Riadh Essaadali, Chokri Jebali, Khaled Grati, Ammar B. Kouki

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicMaritime Navigation and Safety
Canadian institutionsÉcole de Technologie Supérieure
Fundersnot available
KeywordsProtocol (science)Computer scienceSoftwareEmbedded systemData exchangeClass (philosophy)Communications protocolKernel (algebra)Software-defined radioDigital signal processingOperating systemTelecommunicationsSoftware engineeringDatabaseComputer hardware

Abstract

fetched live from OpenAlex

The AIS is one among the standards of radio communication system to be approved in the whole of the maritime environment. The adoption of AIS technology as a radio data maritime network that hopes for the rise of added values to the services of maritime industry allowing not only the safety of the ships and the environmental protection, but also improving the organization of the ports and the operations. The goal of this work consists on implementing the protocol layers of mobile AIS station on a DSP by using an embedded operating system: Visual DSP kernel. The solution comprises embedded software for both class A and class B AIS mobile equipment that can use CSTDMA or SOTDMA.

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)0.003
metaresearch head score (Gemma)0.005
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.005
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0020.003
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.002

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 head0.083
GPT teacher head0.326
Teacher spread0.243 · 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

Citations10
Published2015
Admission routes1
Has abstractyes

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