Introduction: Application of agricultural machineries such as tractor has been yielded a considerable development in different agricultural activities and productions. However, noticeable health problems such as noise pollution impact the users of these off-road vehicles. The purpose of this study was to determine the noise level induced by agricultural tractors and to evaluate the driver’s noi...

Introduction and purpose: Noise is one of the most harmful physical issues in a workplace that can cause stress. Transit bus drivers are exposed to environmental and bus noises that can act as stressors for them. In this regard, the present study aimed to determine the effect of noise exposure on occupational stress of bus drivers in Bojnourd, Iran in 2018. Methods: This cross-sectional descri...

Background and Objectives: Noise pollution is one of the environmental problems which can have adverse effects on public health. In this study, the effect of noise pollution on public health of the citizens of Omidiyeh is considered. Materials and Methods: This cross-sectional study was conducted in the autumn of 2015 for a month. Sound Level Meter testo 815 was used to measure the sound. &n...

Introduction: The use of hearing protective devices (HPDs) is the last way for noise control. It is important to know the information about the duration time using these devices to ensure protetion effectiveness. The aim of this study was to investigate the effect of increasing duration time of the using of the devices on hearing loss in tile industry workers with application of the BASNEF educ...

Background and Purpose: Although the evolution of industrial systems toward digital technologies decreased the exposure to high levels of noise, it has created some problems encountered with low level and provoking noise (low frequency noise). In the present work, the mental performance of students exposed to low frequency and reference noises at low and high levels (45 & 65 dB) were studied....

In this paper a new efficient method for detecting the impulse noise from the corrupted image using extreme learning machine (ELM) is proposed. An improved version of the standard median filter is suggested to remove the detected noisy pixel. The performance of proposed detector is evaluated using classification accuracy. The results show that our detector is robust even at higher noise density...