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Record W2095761688 · doi:10.4103/0256-4602.55278

An Architecture for Interoperability of Embedded Systems and Virtual Reality

2009· article· en· W2095761688 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.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueIETE Technical Review · 2009
Typearticle
Languageen
FieldComputer Science
TopicAdvanced Software Engineering Methodologies
Canadian institutionsnot available
FundersUniversity of Guelph
KeywordsComputer scienceInteroperabilityArchitectureVirtual realityComputer architectureHuman–computer interactionEmbedded systemOperating systemArt

Abstract

fetched live from OpenAlex

Virtual Reality enhances the development process of complex and inter-operating products due to bringing existing systems together with virtual prototypes. The modeling of existing products within the virtual reality environment and furthermore the properties of products and product combination are important factors for success in a product life cycle. A reduction of effort for modeling of existing products and simulation of properties can be achieved, when systems and their properties are transported to the virtual reality environment. In this paper, we present a service-oriented architecture for embedded systems and virtual reality. The multiplicity of interfaces, protocols, and hardware and software aspects requires an architecture that overcomes the related difficulties to increase efficiency. Service-oriented architectures make different scenarios in the product life cycle possible, whereas the implementation effort for embedded systems is reduced due to software reuse.

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)0.002
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.946
Threshold uncertainty score0.396

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.003
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 science0.0010.000
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 head0.061
GPT teacher head0.381
Teacher spread0.319 · 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