Study on aircraft noise calculation model for helicopters and advanced air mobility
Bibliographic record
Abstract
Currently, new aircraft called Advanced Air Mobility, such as eVTOL, are being developed. These aircraft are expected to fly at lower altitudes than passenger aircraft. This airspace has traditionally been used by helicopters and other aircraft, raising concerns about noise exposure in urban areas. The number of flights by these rotor aircraft is expected to increase in the future, making it necessary to consider the impact of noise. However, it is difficult to apply existing segment noise calculation methods for fixed-wing aircraft. Therefore, a calculation model was constructed to calculate the noise of these rotorcraft. In this calculation model, the rotorcraft is regarded as a point source with a three-dimensional hemispherical sound source directivity, and the noise at the receiving point can be calculated from the three-dimensional position of the aircraft and the rotor power every 0.5 s. Furthermore, to verify the model's validity, helicopter noise was measured and compared with the model's calculation results for single noise events.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
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".