Information control system for space experiments onboard international space station
Bibliographic record
Abstract
The paper considers development of the Information Control System (ICS) of the Russian Segment of the International Space Station (ISS). The main ICS modules for carrying out scientific experiments comprise the Service Module, the Multipurpose Laboratory Module and the Science Power Module. At present specialists of Energia RSC are working to create high-tech conditions for scientific experiments on the new ISS modules, modernize the existing ones and combine them into a single onboard ISS information control complex. The information control system (ICS) is intended for automatic and manual control of space experiments. The effectiveness of modernization was confirmed by the results obtained during space experiments on the basis of the Information Control System. The ICS modernization started in 2012. At that time the ICS consisted of 4 onboard computers. The main task of ICS modernization was to introduce new computers and software-hardware systems. The software was supposed to have a flexible architecture and provide resources for all future onboard payloads. At the first stage one onboard computer was replaced. The main purpose of that stage was to test the new ISS hardware and software. The rest of the ICS computers will be replaced at the second stage, the Multipurpose Laboratory Module and the Science Power Module will also be equipped. The reliability of the system hardware is improved using functional backup. In 2014 2 cameras were installed on the ISS together with UrtheCast company (Canada).One of the cameras is a middle resolution camera; the other one is a high resolution camera. Today ground preparation of an experiment with Icarus scientific equipment is being carried out, jointly with the German Center of Aviation, DLR, and the SpaceTech company (Germany). The experience of the first stage of modernization suggests that the modernized ISS RS ICS will become an up-to-date system allowing the realization of most ambitious space experiments in automatic mode.
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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 | 0.000 | 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 | 0.001 |
| 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 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".