Conceptual Design of a Single Rotor Unmanned Aerial Vehicle for Water Health Monitoring
Bibliographic record
Abstract
Algae blooms pose significant risks to both human and animal health, necessitating effective monitoring strategies. This paper presents a novel conceptual design of a Single Rotor Unmanned Aerial Vehicle (SRUAV) tailored for water health monitoring. commercial-off-the-shelf (COTS) components and 3D printing technology, the SRUAV is designed to collect water samples from Lake Erie, addressing the specific requirements of the Great Lakes Institute for Environmental Research (GLIER) at the University of Windsor. The modular, thrust-controlled SRUAV, weighing 1.5 kg, offers a flight time of 25 minutes and vertical take-off and landing capabilities. This design aims to enhance the efficiency and reduce the costs associated with routine water sampling and monitoring procedures. The paper details the design process, mission profile, and initial sizing, highlighting the advantages of SRUAVs in environmental monitoring applications.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".