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Record W7133097604

Development of Deployable Antennas for Advanced Maritime Communication and Monitoring with Small Satellites

2018· dissertation· W7133097604 on OpenAlexaboutno aff
Simon Molgat Laurin

Bibliographic record

VenueTSpace · 2018
Typedissertation
Language
FieldEngineering
TopicSpacecraft Design and Technology
Canadian institutionsnot available
Fundersnot available
KeywordsPayload (computing)SpacecraftSpacecraft designIdentification (biology)SatelliteCommunications satelliteSpace technologyData transmission
DOInot available

Abstract

fetched live from OpenAlex

NORSAT-2 is a 16-kilogram microsatellite designed, constructed and tested at the University of Toronto Space Flight Laboratory commissioned by the Norwegian Space Center. The spacecraft supports maritime safety and security using an Automatic Identification System ship tracking payload as well as the first space-based Very High Frequency Data Exchange System, considered to be the next generation of the Automatic Identification System. This thesis describes the author's mechanical design contributions to the development of NORSAT-2. To enable payload operations, two unique deployable antennas - a monopole and a cross-Yagi - leveraging tape spring technology are presented. The designs were elaborated iteratively through deployment, communications, vibration and thermal vacuum test campaigns. A spacecraft structural design capable of accommodating the payloads was achieved. The antennas were successfully deployed following spacecraft launch, as confirmed through on-orbit imagery. Payload operations were conducted, demonstrating on-orbit ship tracking data reception and data transmission to a Norwegian vessel.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.629
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.024
GPT teacher head0.281
Teacher spread0.257 · 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 teacher head, not a consensus.

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
Published2018
Admission routes1
Has abstractyes

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