CORBA Based HLA/RTI Design Approach
Bibliographic record
Abstract
DMSO's effort to provide a CORBA based, standard, common real time simulation architecture (High Level Architecture /Run Time Infrastructure, HLA/RTI) [1] for use in military, Civil Air Traffic Control (CATC - USA, Europe, Canada), the entertainment industry and NASA has not produced a CORBA based implementation with adequate real time performance. The features that are desirable in an RTI implementation are described. A common HLA/RTI implementation that is suitable for the above applications is one that: 1) meets real-time performance requirements, 2) is the same implementation for all federations or simulations, 3) is implemented using commercial-off-the-shelf (COTS) software and hardware, 4) does not alter or compromise the modularity or present design of the RTI, and 5) allows users and owners of simulation applications and systems to retain control of their systems by not placing RTI functionality in line with their application code. Keywords: CORBA, Real Time Simulation, HLA, I...
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".