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Record W3109677322

Mini-Wind Turbine Noise Measured Inside Near-by Houses

2020· article· en· W3109677322 on OpenAlexvenueno aff
Gino Iannace, Umberto Berardi, Giuseppe Ciaburro, Dario D’Orazio, Amelia Trematerra

Bibliographic record

VenueCanadian acoustics · 2020
Typearticle
Languageen
FieldHealth Professions
TopicNoise Effects and Management
Canadian institutionsnot available
Fundersnot available
KeywordsTurbineWind powerAnnoyanceNoise (video)TowerNoise pollutionMarine engineeringEnvironmental scienceWind speedMeteorologyNoise controlEngineeringCooling towerSound pressureAcousticsNoise reductionStructural engineeringElectrical engineeringTelecommunicationsComputer scienceAerospace engineeringPhysics
DOInot available

Abstract

fetched live from OpenAlex

In this paper the results of noise measurements generated by the operation of 200 kW mini wind turbine, carried out inside a home are reported. The number of wind turbines with a lower eclectic power increases significantly due to the necessary administrative simplification, and for the economy of the investment. This involves the installation of numerous wind turbines also near houses. One of the biggest impact problems is the noise pollution produced by the rotation of the blades. Acoustic measurements were performed in a home, with open windows, condition of maximum noise disturbance. When the wind tower is in operation, a noise level of about 45 dBA has been measured. This condition generates annoyance to the people living in the house. Furthermore, an assessment of the noise generated by the operation of a mini wind tower was carried out, applying the ISO 9613 standard; the theoretical sound pressure level underestimates the value measured.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.069
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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.

Opus teacher head0.048
GPT teacher head0.313
Teacher spread0.265 · 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.

Study designNot applicable
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

Citations3
Published2020
Admission routes1
Has abstractyes

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