MétaCan
Menu
Back to cohort
Record W2470717249 · doi:10.1109/icuas.2016.7502527

Unmanned airship design with sliding ballast: Modeling and experimental validation

2016· article· en· W2470717249 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicAerospace Engineering and Energy Systems
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsBallastHullComputer scienceAerospace engineeringUnderactuationMarine engineeringAutomotive engineeringAeronauticsRigidity (electromagnetism)SimulationSystems engineeringEngineeringRobotArtificial intelligence

Abstract

fetched live from OpenAlex

Airships present many interesting opportunities for transport, surveillance and inspection but have seen little to no use in commercial or military unmanned applications. Generally underpowered, underactuated, and large in size, airships express difficulties in adverse atmospheric conditions or situations requiring rapid or precise maneuvers. In this paper, a miniature unmanned airship with a moving platform is presented to address the the limited altitude maneuverability of these vehicles. Simulated and experimental open-loop trajectories demonstrate that this architecture allows for large changes in vehicle pitch and, when combined with forward facing thrusters, rapid changes in altitude. Operational advantages such as increased hull rigidity and concentrated hardware inherent to the vehicle design are also discussed.

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.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.631
Threshold uncertainty score0.326

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)0.0000.000

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 head0.018
GPT teacher head0.184
Teacher spread0.166 · 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

Quick stats

Citations5
Published2016
Admission routes1
Has abstractyes

Explore more

Same topicAerospace Engineering and Energy SystemsFrench-language works237,207