Wind-dependent ambient noise level estimation in shallow water using wind speed data

2021 ◽  
Vol 223 ◽  
pp. 108653
Author(s):  
Sungho Cho ◽  
Sunhyo Kim ◽  
Donhyug Kang ◽  
Jisung Park
Keyword(s):  
Wind Speed ◽  
Shallow Water ◽  
Noise Level ◽  
Ambient Noise ◽  
Wind Speed Data ◽  
Ambient Noise Level ◽  
Noise Level Estimation

Measurement of the ambient noise level, reverberation time and transmission loss for classrooms in a public school

2007 ◽  
Vol 55 (3) ◽  
pp. 327 ◽  
Author(s):  
Paulo Henrique Trombetta Zannin ◽  
Carmen Pezette Loro
Keyword(s):  
Public School ◽  
Noise Level ◽  
Ambient Noise ◽  
Transmission Loss ◽  
Reverberation Time ◽  
Ambient Noise Level

ambient noise level

2011 ◽  
Keyword(s):  
Noise Level ◽  
Ambient Noise ◽  
Ambient Noise Level

Ambient Noise Level and Site Characterization in Northern Egypt

2019 ◽  
Vol 176 (6) ◽  
pp. 2349-2366 ◽  
Author(s):  
H. E. Abdel Hafiez ◽  
Mostafa Toni
Keyword(s):  
Noise Level ◽  
Ambient Noise ◽  
Site Characterization ◽  
Ambient Noise Level ◽  
Northern Egypt

A computational assessment of the sensitivity of ambient noise level to ocean acidification.

2009 ◽  
Vol 126 (4) ◽  
pp. 2211
Author(s):  
John E Joseph ◽  
Ching-Sang Chiu
Keyword(s):  
Ocean Acidification ◽  
Noise Level ◽  
Ambient Noise ◽  
Ambient Noise Level

The Professional Voice and Airline Flight

1984 ◽  
Vol 92 (3) ◽  
pp. 251-254 ◽  
Author(s):  
Robert J. Feder
Keyword(s):  
Noise Level ◽  
Ambient Noise ◽  
Protective Measure ◽  
Standard Practice ◽  
Ambient Noise Level ◽  
Cabin Temperature ◽  
The World ◽  
Voice User ◽  
Professional Voice ◽  
Airline Flight

As the world shrinks and demands for quality performers precipitously increase around the globe, travel becomes an important part of the professional's life. The professional voice user may encounter many circumstances and situations over which he has little control and which may subject him to potential vocal irritation or injury. Airline travel is an aspect that, by and large, is uncontrollable but absolutely necessary for professional survival, yet it may have the potential for harm. The majority of airline traffic is carried by wide-bodied aircraft, mainly the Boeing 747 and 767, the Lockheed L1011, the McDonnell Douglas DC-10, and the European Airbus. Similar but smaller aircraft include the Boeing 707, 727, and 737 and the McDonnell Douglas DC-8 and DC-9. Basically, these aircraft appear to exhibit relatively similar in-flight environments, including ambient noise level, cabin temperature, pressurization, humidity, and ozone. Each of these factors will be discussed to clarify aspects of flight which have been taken for granted, about which there have been misconceptions, or which have not been sufficiently considered. As otolaryngologists it is incumbent on us to be familiar with the consequences of flight for those patients with actual or potential voice problems. A voice lost to professional endeavor may be more emotionally devastating than an ear or sinus impairment. Careful briefing of the patient who is a professional voice user has not been standard practice prior to airline flight but certainly should be strongly considered as a protective measure.

A computational assessment of the sensitivity of ambient noise level to ocean acidification

2010 ◽  
Vol 128 (3) ◽  
pp. EL144 ◽  
Author(s):  
John E. Joseph ◽  
Ching-Sang Chiu
Keyword(s):  
Ocean Acidification ◽  
Noise Level ◽  
Ambient Noise ◽  
Ambient Noise Level

scholarly journals Spectral Probability Density for Broadband Seismic Ambient Noise Level

2021 ◽  
Vol 1 (1) ◽  
pp. 17-21
Author(s):  
Endah Puspita Sari ◽  
Melda Panjaitan ◽  
Hery Sunandar ◽  
Erida Wati
Keyword(s):  
Time Series ◽  
Probability Density ◽  
Noise Level ◽  
Ambient Noise ◽  
Quality Of Information ◽  
Seismic Ambient Noise ◽  
Ambient Noise Level ◽  
Test Execution ◽  
Time Series Approach

The time-series approach is commonly utilized to get to the estimation of the likelihood thickness work of control ghostly densities (PDF PSD) of waveform information. This paper is concerned with the introduction of the evaluation of waveform commotion to degree the likelihood thickness work (PDF) be done inside, we utilized the metadata from a stock, a parser occurrence of DNP (Denpasar, Bali, Indonesia), IGBI (Ingas, Bali, Indonesia), and PLAI (Plampang, NTB, Indonesia) from BMKG IA-Networks and computations are based on the schedule utilized by McNamara Demonstrate. The point of this paper to characterize the current and past execution of the stations and recognizing the data on clamor levels at BMKG IA-Networks Station. The result of this paper shows the consistency of the unearthly is displayed the DNP, IGBI, and PLAI organize to confirm the quality of information conjointly acts as a test execution broadband arrange to the time taken by the broadband organize within the field and examination the Lombok earthquake in 2018.

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