Performance evaluation of the SHINPADS protocol by extended M-type Petri nets
Bibliographic record
Abstract
The author modeled the simplified SHINPADS (SHipboard INtegrated Processing and Display System) protocol using extended M-type Petri nets. The simplification consists of the cancellation of priorities. The extended nets not only use ordinary arcs but also include inhibit arcs, which make them more general, and gate arcs, which reduce the number of places and make them a more natural modeling tool. They also accommodate unbounded places. The author developed a program to map those Petri nets into Markov chains and calculate the performance of the protocol for different traffic loads and protocol parameters. For the Markovian property, all transitions must have negative exponential firing times and, correspondingly, control and data messages must have negative exponential length as well as time between them. Under these restrictions the results obtained are exact and general and can be used in the design of the SHINPADS protocol. The throughput for data and control channels vs. offered traffic for different parameters shows the stability of the protocol under heavy load.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
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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 | 0.002 | 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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".