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Record W7133074453

Spacecraft testing and operations and ground station development

2008· dissertation· W7133074453 on OpenAlexaboutno aff
Maria Short

Bibliographic record

VenueTSpace · 2008
Typedissertation
Language
FieldEngineering
TopicSpacecraft Design and Technology
Canadian institutionsnot available
Fundersnot available
KeywordsPayload (computing)SpacecraftSoftwareProject commissioningFocus (optics)Key (lock)Ground stationTechnology development
DOInot available

Abstract

fetched live from OpenAlex

The Canadian Advanced Nanospace eXperiment (CanX) focuses on small space missions involving technology demonstrations and scientific experimentation. The CanX-2 mission was designed to evaluate novel technologies and perform valuable scientific experiments. NTS was designed to demonstrate key elements of COM DEV space-born AIS detection technology. Both CanX-2 and NTS were launched in April 2008. The Generic Nanosatellite Bus (GNB) is a multi-mission design that is adaptable to a variety of payload designs. Developing GNB missions include a stellar photometry mission, BRITE, autonomous formation flying mission, CanX-4 5 and space-based AIS mission, AISSat-1. This thesis will discuss spacecraft-level environmental testing performed on CanX-2 and on-orbit commissioning and operations of the CanX-2 and NTS spacecraft. Further discussion will focus on ground station software development including automated multi-spacecraft operations adaptable for current and future missions.

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 imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.032
Threshold uncertainty score0.064

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0160.005

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.

Opus teacher head0.029
GPT teacher head0.282
Teacher spread0.252 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2008
Admission routes1
Has abstractyes

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