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Record W6902955150 · doi:10.7939/r3-c16m-vq07

Vibration Profiles of a Road Ambulance Using Equivalent Acceleration

2022· article· en· W6902955150 on OpenAlexvenueno aff

Bibliographic record

VenueNPARC · 2022
Typearticle
Languageen
FieldEngineering
TopicMechanical Engineering and Vibrations Research
Canadian institutionsnot available
Fundersnot available
KeywordsAccelerationVibrationNoise (video)AmplitudeAccelerometerInertial measurement unitAngular acceleration

Abstract

fetched live from OpenAlex

Neonatal infants in need of advanced care, often require transportation via road ambulance to neonatal intensive care units. The ambulance exposes these vulnerable infants to potentially harmful noise and vibration. To better understand the levels of vibration, this paper maps the magnitude of acceleration due to vibration throughout the cabin of an ambulance. By developing a better understanding of the distribution of the vibration magnitude, decisions can be made to determine the optimal placement of the neonatal patient transport system. Using an inertial measurement unit to measure the translational acceleration and angular rates of the vehicle during on-road testing, the equivalent acceleration at any point in the vehicle can be determined, assuming rigid body motion. It is observed that the distance away from the vehicle’s centre of gravity increases the amplitude of acceleration. For a relatively smooth section of road, it appears the placement of the neonatal transport system has minimal impact on the acceleration magnitude. This indicates that the frequency-dependant compliant motion of the transport system, in combination with the placement, likely determines vibration level.

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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.534
Threshold uncertainty score0.766

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)0.0010.000

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 head0.044
GPT teacher head0.280
Teacher spread0.236 · 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
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

Citations2
Published2022
Admission routes1
Has abstractyes

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