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Record W2734456438

О наведении камеры высокого разрешения, установленной на борту мкс, посредством двухосной поворотной платформы

2016· article· ru· W2734456438 on OpenAlexaboutno aff
A. V. Sumarokov

Bibliographic record

VenueВестник Московского государственного технического университета им. Н.Э. Баумана. Серия «Приборостроение» · 2016
Typearticle
Languageru
FieldEngineering
TopicSatellite Image Processing and Photogrammetry
Canadian institutionsnot available
Fundersnot available
KeywordsInternational Space StationComputer graphics (images)Computer visionSurface (topology)Computer sciencePoint (geometry)Remote sensingArtificial intelligenceSpace (punctuation)GeodesyMathematicsGeographyEngineeringGeometryAerospace engineering
DOInot available

Abstract

fetched live from OpenAlex

This article describes an algorithm for calculating the parameters of biaxial revolving platform motion. This platform is mounted on the external surface of the International Space Station. It serves for pointing of the high resolution camera which is used for the Earth remote sensing. During video shooting the camera is continuously pointed at the point on the Earth surface with a given set of coordinates. The algorithm was applied during the space experiment “Napor-Mini RSA” at the International Space Station. This experiment was performed by Roscosmos together with the Canadian company UrtheCast. We provide a detailed solution 96escribeing the high resolution camera pointing. The algorithm efficiency is shown not only by the mathematical modeling but also by the Earth surface video shoots

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)0.007
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Open science, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.535
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.004
Meta-epidemiology (narrow)0.0110.010
Meta-epidemiology (broad)0.0090.005
Bibliometrics0.0060.010
Science and technology studies0.0040.004
Scholarly communication0.0040.007
Open science0.0100.003
Research integrity0.0070.008
Insufficient payload (model declined to judge)0.0220.030

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 head0.011
GPT teacher head0.220
Teacher spread0.209 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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
Published2016
Admission routes1
Has abstractyes

Explore more

Same venueВестник Московского государственного технического университета им. Н.Э. Баумана. Серия «Приборостроение»Same topicSatellite Image Processing and PhotogrammetryFrench-language works237,207