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Record W4389490931 · doi:10.1139/dsa-2023-0014

Taiwan solar-powered UAV flight endurance record

2023· article· en· W4389490931 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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueDrone Systems and Applications · 2023
Typearticle
Languageen
FieldEnvironmental Science
TopicAdvanced Aircraft Design and Technologies
Canadian institutionsnot available
FundersNational Science and Technology Council
KeywordsWingspanAeronauticsSolar poweredFlight testAerospace engineeringEnvironmental scienceMeteorologyEngineeringSolar energyGeographyElectrical engineeringAerodynamics

Abstract

fetched live from OpenAlex

Solar-powered unmanned aerial vehicles (UAVs) possess a unique capability to maintain continuous flight for hours, days, weeks, or even months. This research aims to develop a solar-powered UAV that can fly at low altitudes with extended endurance to establish a new record for full-day continuous flight in Taiwan. The UAV was designed with a 4.7 m wingspan and a T-tail configuration to achieve this goal, utilizing materials and components available in the current market. The flight test was conducted on 2 June 2022, resulting in a remarkable 21 h and 50 min of flight endurance, setting a record in Taiwan. While the full-day flight endurance target was not met, the UAV demonstrates the potential to achieve greater endurance with improvements in its construction and operational aspects.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.923
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)0.0000.001

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 head0.013
GPT teacher head0.233
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