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Record W2182766953

Impact of GPS and GALILEO Orbital Plane Drifts on Interoperability Performance Parameters

2014· article· en· W2182766953 on OpenAlexaboutno aff
Arian Leonard

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldArts and Humanities
TopicHermeneutics and Narrative Identity
Canadian institutionsnot available
Fundersnot available
KeywordsGalileo (satellite navigation)Global Positioning SystemOffset (computer science)InteroperabilityGeodesyOrbital planeComputer scienceGNSS applicationsTelecommunicationsGeographyPhysicsAstronomy
DOInot available

Abstract

fetched live from OpenAlex

Today it is still open, whether the initial offset of 0 ° of GPS and GALILEO orbital planes already leads to best results, or if global performance can still be improved by initial offsets (RAAN) different from the nominal case. The implementation of any initial offset is easy to achieve and most likely neutral in cost. It can thus be regarded as an open parameter to be optimised accordingly. This paper provides a first assessment and characterises the impact of different GPS and GALILEO orbital plane orientations on the overall performance over the two regions of Europe and North America. First remarkable results and conclusions regarding the change in global performance as a function of the RAAN offset are drawn. Further, this paper also reflects some of the complementary results of contributions received from the Non-European Region of Canada to the EC GALILEI Interoperability Study. Both GPS and GALILEO satellite constellations have been designed independently and are optimised for standalone use. The GALILEO satellites are planned to be distributed on 3 orbital planes about 3400km above the GPS constellations which consists of 6 orbital

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.155
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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)0.0010.000

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 head0.027
GPT teacher head0.247
Teacher spread0.220 · 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 designObservational
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

Citations1
Published2014
Admission routes1
Has abstractyes

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