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Development of a Real-time Devs Kernel: Rt-cadmium

2020· article· en· W3088362094 on OpenAlex

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.
fundA Canadian funder is recorded on the work.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldDecision Sciences
TopicSimulation Techniques and Applications
Canadian institutionsCarleton University
FundersNatural Sciences and Engineering Research Council of CanadaMitacs
KeywordsDEVSComputer scienceKernel (algebra)MathematicsSimulationDiscrete mathematics

Abstract

fetched live from OpenAlex

With the rise of Internet of Things devices, there is an increasing demand for embedded control systems. Discrete-Event Modeling of Embedded Systems (DEMES) is a Discrete Event System Specification (DEVS) based model driven development methodology that increases reliability and improves time to market by simplifying the development and testing of embedded systems. The existing toolchain used to implement DEMES, ECD-Boost, has some shortcomings that are addressed and improved in Real-Time Cadmium (RT-Cadmium); which is a Real-Time (RT) DEVS kernel developed on top of the Cadmium DEVS Simulator. RT-Cadmium allows users to switch between simulating and deploying their models with ease. RT-Cadmium is portable between target platforms and it already supports MBed Enabled ARM microprocessors and Linux based systems. RT-Cadmium can also handle asynchronous events, which are important for embedded system design and do not exist in standard DEVS simulators.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.525
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.001

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 head0.179
GPT teacher head0.416
Teacher spread0.237 · 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

Quick stats

Citations15
Published2020
Admission routes2
Has abstractyes

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