Spectrogram analysis of circumferential modes propagating around the cicular cylindrical shell immersed in water
Bibliographic record
Abstract
In this study, we show that the characterization o f an elastic tube can be made from the cut-off frequencies o f the circumferential waves and the wave velocities in the material constituting the tube.The time-frequency spectrogram is applied to an acoustic signal backscattered by an Aluminum tube for identification of circumferential wave.The cut-off frequencies o f the each circumferential wave modes such as A 1, A 2 (Antisymmetric modes) and S1 (Symmetric mode) are estimated from the spectrogram images, and are compared w ith those calculated via the normal modes theory.The transverse and the longitudinal velocities o f Aluminum material, determined from the spectrogram images, are in good agreement with those given in the scientific literature. r e s u m eDans ce travail, nous exposons la possibilité de mettre œuvre la caractérisation d'un tube élastique à partir de la fréquence de coupure des ondes circonférentielles et des vitesses des ondes propageant dans le matériau constituant le tube.La représentation temps-fréquence de Spectrogramme est appliquée à un signal acoustique rétrodiffusé par un tube d'Aluminium afin de pouvoir identifier les ondes circonférentielle.La fréquence de coupure de chaque mode d'onde circonférentielle tels que : A1, A2 (modes antisymétriques) et S1 (mode symétrique) sont estimées à partir des images tempsfréquence de Spectrogramme puis elles sont comparées avec celles calculées par la théorie des modes propres.Les vitesses transversales et longitudinales du matériau en Aluminium, déterminées à partir des images temps-fréquence, sont en bon accord avec celles données dans la littérature scientifique.Vol. 40 No. 4 (2012)Canadian Acoustics / Acoustique canadienne Convert a standard floor to a superior floor with the Freedom Step Acoustical & Impact Isolation S u b f l o o r ^g Q y g f j H o o T Acoustical & Impact Subfloor Systems WILREP LTD. -
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".