A Command and Data Handling unit for pico-satellite missions
Bibliographic record
Abstract
This paper outlines the design and implementation of phase two of the command and data handling (CDH) unit for the WinCube project. WinCube is a multi-year, multi-disciplinary project conducted at the University of Manitoba in which students from different departments participate in the design of a CubeSat. The purpose of the WinCube project is to provide an opportunity for engineering students to design and implement a space-ready satellite. The project also acts as a vessel for a high school science experiment, which will run an experiment while in space, and relay results down to a satellite base station. The CDH unit must manage the operations and internal communications of the various units inside the satellite. This unit includes a power management application, serial communications protocols to relay information, and a trustworthy timing system. The power management application must monitor the state of the battery, the output of the solar panels, as well as control the amount of power provided to each of the primary units. Serial communications are used to interact with other devices on the satellite. Finally, an external real time clock and watchdog timer were used to enhance the reliability of the system. Special measures were taken to protect the CDH unit from the harsh operating environment and to monitor the health of the system beyond temperature and battery readings by performing periodic tests of components.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.014 | 0.007 |
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 source (direct Gemma or distilled Codex), 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".