Acoustic enhancement of proposed grand lecture hall using computer simulation
Bibliographic record
Abstract
The presented research deals with the acoustical performance of a proposed grand lecture hall using experi mental and modeling techniques.The primary challenge for the senior undergraduate engineering group was that the room has yet to be fully designed or constructed.The secondary goal was to optimize the design of the room using the computer software ODEON in the early design stage rather than after it has been built as is often the case.Reverberation time, early decay time, clarity and STI were the four acoustical parameters considered.The modeling software was also validated using test measurements conducted in a similar lec ture room.The results of the present room design demonstrated less than ideal reverberation time and early decay times for the proposed room use but above average clarity and STI values.Design suggestions are given to increase the acoustical performance of the proposed lecture hall. r é s u m éLa recherche présentée est une étude des conceptions pour optimiser les propriétés acoustiques d 'un amphi théâtre par méthodes expérimentales et avec les modèles informatiques.Le principal défi pour le groupe d 'étudiantes de quatrième année en génie était que la salle n 'a pas été encore complètement conçue ou con struit.L'objectif secondaire était l 'optimisation de l'amphithéâtre en utilisant le logiciel ODEON au stade de la conception, plutôt qu'après que la salle a été construit, comme c 'est souvent le cas.Les quatre paramètres du son en considération étaient: le temps de réverbération, le temps de décroissance, la clarté et le STI.Plu sieurs expérimentes ont été mené dans un amphithéâtre similaire pour corroborer le modèle en ODEON.Les résultats du présent amphithéâtre conceptuel ont démontré des niveaux de temps de réverbération et temps de décroissance moins que ceux qui seraient idéales pour ce type de salle de classe, mais ils ont aussi indiqué des valeurs de la clarté et de STI au dessus de la moyenne.Les suggestions sont données pour augmenter la performance acoustique des paramètres sous-performants.
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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 | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.007 | 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".