high noise level
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2021 ◽  
Vol 55 (3) ◽  
pp. 194-198
Author(s):  
D. S. Zhdanov ◽  
I. Yu. Zemlyakov ◽  
Ya. V. Kosteley ◽  
A. Sh. Bureev

2021 ◽  
Vol 13 (1) ◽  
pp. 131-137
Author(s):  
Maharshi Yadav ◽  
Ratnesh Kumar Patel ◽  
Abhishek Yadav ◽  
Gaurav Sharma ◽  
Govind Pandey

Noise pollution is one of the major concerns in big cities as well as in the crowded area of small cites, Gorakhpur is fastgrowing city and has many locations with high noise levels. Various crossroads and intersections have traffic issues this causes high noise level. In this study, three locations were selected for noise level assessment, nearby areas of Gorakhnath Temple, BRD medical college and MMMUT. These locations are educational (silent) and low noise level zone but because they situated near traffic roads, which cause high noise levels around them. In this study outside periphery of educational institutions noise level increases due to traffic. Noise level is found to be high due to large number of human activities.  


Akustika ◽  
2021 ◽  
pp. 22-24
Author(s):  
Alexey Shvetsov ◽  
Viktor Gromov

The high noise level in modern airports is one of the causes that affect the occurrence of accidents involving airliners and ground vehicles operating at the airport. In this study, an emergency prevention algorithm has been developed aiming at reducing the probability of an emergency collision of an airliner and a land vehicle by separating the noise generated during the airport operation into the noise that warns the pilot (operator) about the threat of an emergency collision and the noise that contributes to the accident initiation. The results of the study can be used in the development of new methods and technical means aimed at preventing accidents at airports.


Internet of Things is a medium by which we can control our appliances from anywhere in the world. In Industry many times accidents happened due to negligence of workers and there are some risky areas in Industry where workers not able to go and work. Voice-controlled Industrial parameters monitoring and controlling system are used in the risky areas of Industries usually in power plants where there are high noise level and pollution to avoid accidents. Here an induction motor speed, temperature, pressure, etc are monitored and controlled to avoid damage to the motor. These all the parameters are going to monitor and controlled automatically. In this paper, Google-Assistant and Adafruit IO server are used for monitoring and controlling. By using this system the workers can monitor and control Industrial appliances and problems occur in Industries where workers not able to go and work are overcome.


Author(s):  
Chien-Chen Chiu ◽  
Terng-Jou Wan

Hearing-protection devices (HPDs) are particularly important in protecting the hearing of workers. The aim of this study was to prevent hearing damage in workplaces in Taiwan. It was conducted to determine the actual sound attenuation of the personal attenuation rating (PAR) values when wearing HPDs via measurements from field microphones in workers’ real ears (F-MIRE). Across 105 measurement trials for the Classic™ roll-down foam earplug HPDs worn by the workers, there were 23 cases of ineffective protection (including caution and fail); the proportion was 20% (including the first measurement and re-wear of HPDs after education and training). In addition, re-education and training in how to wear the HPDs was provided, improving wearing skills. A total of 29 testees wearing the Classic™ roll-down foam earplug HPDs failed to meet the pass standard for the first PAR test, and 6 of them improved and subsequently passed the PAR test. The improvement rate was 20%. These 23 testees switched to another HPD, namely Kneading-Free Push-Ins™ earplugs. From this group, 16 effective sound attenuation values were obtained, with an improvement rate of 70%. However, seven testees failed to pass the PAR test, and after education, training, and replacement of HPDs with different types, they still could not pass the PAR test. At that time, even if the UltraFit™ pre-molded earplugs were adopted again for wear and replacement, they were still unable to pass the PAR test. This HPD was eventually replaced with the PELTOR X4A Earmuff HPD and then tested again, with these HPDs finally passing the PAR test. In Taiwan, the use of fit testing has been increasing but it is not a common practice, and few studies on hearing-protection fit testing have been conducted in this country. The goal of this study was to gain more insight into the current hearing protection situation, including field attenuation of HPDs obtained by workers, the effects of training on improving the attenuation of HPDs after F-MIRE measurements, and the awareness of hearing health and motivation on the use of HPDs in a high-noise-level environment.


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