The Use of Discrete-Deterministic Models in the Development of Software for Controlling Autonomous Electric Power Plants
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.
Bibliographic record
Abstract
The paper presents an analysis of tasks performed by the software for automated control systems of autonomous electric power plants, leading to the identification of functional requirements.This analysis establishes operational modes, such as scheme designer mode and autonomous electric power plant monitoring and control mode, defines the component library, and outlines requirements for each component.The use of discretedeterministic models in the form of digital automata, the research formalizes the problem of analyzing and synthesizing control algorithms.The novelty of this methodology lies in integrating digital automata with UML diagrams to develop adaptive software.By linking UML state diagrams directly with digital automata models, the system ensures consistency between conceptual design and code implementation.The research contributes to best practices in software engineering for complex, distributed control systems.The approach, proposed in the paper, allows developers to conceptualize the user interface of automated operator workstations as interconnected systems with defined relationships and communication types.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.000 | 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 it