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Record W7160934454 · doi:10.1121/10.0040143

Development of the primary standards system based on the optical method for airborne ultrasound range

2025· article· en· W7160934454 on OpenAlexaff
Wan-Ho Cho, Triantafillos Koukoulas

Bibliographic record

VenueThe Journal of the Acoustical Society of America · 2025
Typearticle
Languageen
FieldEngineering
TopicFlow Measurement and Analysis
Canadian institutionsNational Research Council Canada
Fundersnot available
KeywordsMicrophoneUltrasonic sensorSynchronizingSound pressureSIGNAL (programming language)System of measurementMeasure (data warehouse)Range (aeronautics)Artifact (error)

Abstract

fetched live from OpenAlex

Non-invasive absolute measurement methods based on optical methods are being considered to be potential new primary standard systems for airborne acoustics. These methods mainly based on methods to measure acoustic particle velocities, utilize photon correlation or interferometry. Recently, it has become necessary to observe the possibility of expanding these methods to airborne ultrasound, because of increasing number of applications related to airborne ultrasound range. In this study, the factors necessary to expand the range of primary system based on photon correlation method to the low ultrasonic frequency range were considered. The basic problems with the measurement system for this purpose are related to measurement system, sound source, and problems induced with the artifact (also referred to as device under test) setup. Regarding the measurement system, system design parameters to expand the lower bound of sound pressure were investigated, in addition to the suitability of the method to enhance the photon count signal by applying the phase resolved method. In addition, the feasibility of applying the synchronizing method to resonant and pulsar type sound sources to obtain sufficient sound pressure in the ultrasonic band was observed. In addition, signal processing procedures to remove the effect of specular reflection that occurs when calibrating a microphone were investigated. [Work supported by the Korea Planning & Evaluation Institute of Industrial Technology (RS-2022-00154837).]

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)0.003
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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.828
Threshold uncertainty score0.232

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.012
GPT teacher head0.245
Teacher spread0.233 · 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 designSimulation or modeling
Domainnot available
GenreMethods

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

Citations0
Published2025
Admission routes1
Has abstractyes

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