Bilateral Syndactyly Release of Third and Fourth Fingers

Rao, Sudhir B.; Perlmutter, Mark; Darner, Grant

doi:10.24296/jomi/290.8

Cited by 1 publication

(2 citation statements)

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“…The sound calibrator with the reference sound of 94 dBA at 1 kHz was used to calibrate the sound level meter with a difference of 1 dBA before conducting the measurement. The sound level meter was set at 1.2 m to 1.5 m away from the ground level and 3.5 m away from the reflective structure as stated in Guidelines for Environmental Noise Limits and Control [26]. Background noise and the value of equivalent continuous A-weighted sound pressure level, L AFeq of each control point was measured for 30 minutes using the short sampling method [26].…”

Section: Methodology Of Site Measurementmentioning

confidence: 99%

“…The sound level meter was set at 1.2 m to 1.5 m away from the ground level and 3.5 m away from the reflective structure as stated in Guidelines for Environmental Noise Limits and Control [26]. Background noise and the value of equivalent continuous A-weighted sound pressure level, L AFeq of each control point was measured for 30 minutes using the short sampling method [26]. To conduct the measurement of the sound power level of the machine, the basic length, one of the machines will be measured and the radius, r will be determined according to BS ISO 6395:2008 Annex A [23][24][25].…”

Section: Methodology Of Site Measurementmentioning

confidence: 99%

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Noise prediction for infrastructure construction activities using simple prediction chart technique

2022

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Construction noise is one of the most severe pollutions in the environment and causes different physical and psychological damages to human beings. In recent years, the research archetype has transposed towards the prediction of construction noise for its adverse effects on the environment and construction workers. Hence, a reliable noise prediction method is mandatory to control, mitigate, and abate the potential hazardous noise. This study aims to validate the results between the predicted and actual noise levels of construction activities mainly on infrastructure works by using the simple prediction chart technique. This study was carried out by using the sound power levels emitted by an individual machine during different infrastructure construction activities to predict the noise levels at different locations. The results showed a high accuracy of predicted noise levels along with an absolute difference of less than 3.0 dBA and a relative error of less than 4.0 %. Besides, the predicted noise levels are reliable as the R-squared value was high. On that account, the simple prediction chart method technique has the potential to be utilized as a managerial tool that may help to reduce the negative impacts of environmental noise to the surroundings and occupational noise to the workers.

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Section: Methodology Of Site Measurementmentioning

confidence: 99%

Section: Methodology Of Site Measurementmentioning

confidence: 99%