Hybrid modeling of opto-electrical interfaces using DEVS and modelica
Bibliographic record
Abstract
We discuss two implementations of opto-electrical interfaces, their characteristics and functionalities using a hybrid M&S approach. These interfaces consist in a transmitter and a receiver, composed by electrical and optical parts, that translate electrical signals into optical impulses and viceversa. The first implementation, performed using the CD++ modeling environment, represents a discrete-event model of the system following the DEVS formalism. The other implementation uses the Modelica Standard Library to compose the electrical parts as a continuous-time model, and the Modelica DEVSLib library to describe the optical part as a discrete-event system. The obtained simulation results are equivalent in both implementations. They reproduce translation of a continuous-time sinusoid electrical signal into discrete optical impulses in the transmitter, and the opposite process in the receiver. These approaches simplify the development of multidomain hybrid systems and the study of ONoC at a high abstraction level. 1.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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".