A model based system engineering approach for CubeSat structure and configuration management with highly constrained system design
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
This paper reviews context and results of a software tool, named SaTrade, for Model Based System Engineering in System Design of a CubeSat. This tool helps designers to go through system design trade offs easily in System and Subsystem Levels. To achieve this, Modeling for subsystem design has been made using Block Diagram Definitions and implemented in codes with Inputs from System Design and Outputs to Subsystem specifications and Design Integration. Another Feature of SaTrade is change and modification control and management, where it can be from Requirements or other Inputs from System Design or Interfaces. Changes will be affected on the System Design to allow the Designers follow the process by simulations for Integrity check and Evaluation. The first version of SaTrade focuses on Satellite Structure Design and Configuration Management more, using its Neural Network Algorithms dedicated for this purpose, however, it is intended to make paperless automated design available for the whole CubeSat System in the next version.
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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