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Record W2463907047

A Comparative Study Between Different Helmholtz Resonator Systems

2016· article· en· W2463907047 on OpenAlexvenueno aff
Md. Amin Mahmud, Md Shahriar Islam, Md. Zahid Hossain, Mir Md. Maruf Morshed

Bibliographic record

VenueCanadian acoustics · 2016
Typearticle
Languageen
FieldEngineering
TopicAcoustic Wave Phenomena Research
Canadian institutionsnot available
Fundersnot available
KeywordsResonatorAcousticsHelmholtz resonatorAttenuationBandwidth (computing)Transmission lossWavelengthHelical resonatorPhysicsOpticsNode (physics)Computer scienceTelecommunications
DOInot available

Abstract

fetched live from OpenAlex

This paper proposes a best fit cylindrical Helmholtz resonator system attached to a duct for attenuating low frequency noise within 300 Hz using finite element method. Initially, an optimized system of two identical 2-DOF resonators in terms of relative position and orientation by adapting a published single 2-DOF resonator system. The optimum relative position of the two resonators is studied by placing them at less than antinode, antinode and node of the wavelength of sound source and the optimum relative orientation between the resonators is also found out at that optimum relative spacing. Finally, the optimized system of two identical 2-DOF resonators is compared with three published studies of single 2-DOF, single 1-DOF and two identical 1-DOF resonator systems and the results indicates that two identical 2-DOF resonator system provide a comparatively wider bandwidth of noise attenuation within 300 Hz. The obtained analytical and numerical results of transmission loss for the adapted single 2-DOF have been validated with that of the published experimental result and a good agreement is found.

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.

How this classification was reachedexpand

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.545
Threshold uncertainty score0.754

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)0.0000.000

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.

Opus teacher head0.041
GPT teacher head0.264
Teacher spread0.223 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2016
Admission routes1
Has abstractyes

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