MétaCan
Menu
Back to cohort
Record W2383892022

Modified Strategy of Object Synchronization for DIS

2007· article· en· W2383892022 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.

Bibliographic record

VenueJisuanji fangzhen · 2007
Typearticle
Languageen
FieldEngineering
TopicSimulation and Modeling Applications
Canadian institutionsL'Alliance Boviteq
Fundersnot available
KeywordsSynchronization (alternating current)Computer scienceObject (grammar)Reliability (semiconductor)ArtilleryLayer (electronics)Real-time computingSimple (philosophy)Variable (mathematics)Protocol (science)SimulationDistributed computingArtificial intelligenceTelecommunicationsMathematics
DOInot available

Abstract

fetched live from OpenAlex

A modified strategy of object synchronization for DIS was proposed to correct some disadvantages of DIS. Based on VPDU (Variable Protocol Data Unit,VPDU),the separation between the communication layer and the simulation modeling layer was implemented by the Object Oriented RTTI technology. By a simple data filtration mechanism and classified data distribution method,and considering the Dead Reckoning algorithm,the real-time performance and the reliability were improved. The simulation application shows that the strategy of object synchronization has preferable practicability,and is applicable to the demonstration project such as aerial defense simulation of horseless antiaircraft artillery.

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: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.774
Threshold uncertainty score0.279

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 head0.030
GPT teacher head0.297
Teacher spread0.267 · 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