Selection of Level-Dependent Hearing Protectors for Use in An Indoor Shooting Range

Młyński, Rafał; Kozłowski, Emil

doi:10.3390/ijerph16132266

Cited by 9 publications

(4 citation statements)

References 18 publications

(25 reference statements)

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“…ANNs have become a fundamental tool [19] in predictive analysis for assessing engine performance and environmental effects. ANNs are used in many applications to forecast outcomes and show their adaptability and precision in improving operational efficiency and tackling environmental issues in the automotive and energy industries [20,21].…”

Section: Introductionmentioning

confidence: 99%

Validation of Ecology and Energy Parameters of Diesel Exhausts Using Different Fuel Mixtures, Consisting of Hydrogenated Vegetable Oil and Diesel Fuels, Presented at Real Market: Approaches Using Artificial Neural Network for Large-Scale Predictions

Matijošius,

Rimkus,

Gruodis

2024

Machines

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Machine learning models have been used to precisely forecast emissions from diesel engines, specifically examining the impact of various fuel types (HVO10, HVO 30, HVO40, HVO50) on the accuracy of emission forecasts. The research has revealed that models with different numbers of perceptrons had greater initial error rates, which subsequently reached a stable state after further training. Additionally, the research has revealed that augmenting the proportion of Hydrogenated Vegetable Oil (HVO) resulted in the enhanced precision of emission predictions. The use of visual data representations, such as histograms and scatter plots, yielded significant insights into the model’s versatility across different fuel types. The discovery of these results is vital for enhancing engine performance and fulfilling environmental regulations. This study highlights the capacity of machine learning in monitoring the environment and controlling engines and proposes further investigation into enhancing models and making real-time predictive adjustments. The novelty of the research is based on the determination of the input interface (a sufficient amount of input parameters, including chemical as well as technical), which characterizes the different regimes of the diesel engine. The novelty of the methodology is based on the selection of a suitable ANN type and architecture, which allows us to predict the required parameters for a wide range of input intervals (different types of mixtures consisting of HVO and pure diesel, different loads, different RPMs, etc.).

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Section: Introductionmentioning

confidence: 99%

Validation of Ecology and Energy Parameters of Diesel Exhausts Using Different Fuel Mixtures, Consisting of Hydrogenated Vegetable Oil and Diesel Fuels, Presented at Real Market: Approaches Using Artificial Neural Network for Large-Scale Predictions

Matijošius,

Rimkus,

Gruodis

2024

Machines

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“…There are few studies comparing the selection result obtained using different methods. One of the studies related to this issue was the research on the selection of level-dependent hearing protectors [20]. This research has shown that the calculated A-weighted sound pressure level under hearing protectors 2…”

Section: Introductionmentioning

confidence: 99%

The influence of frequency component content on the selection result of hearing protectors

Kozłowski

Młyński

2021

International Journal of Occupational Safety and Ergonomics

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Hearing protectors are selected for workstation noise using the octave band (OB), HML and SNR methods. The purpose of this study was to determine how the frequency components of the noise can affect the selection of hearing protectors. In total, 55 hearing protectors were selected for four types of real occurring noise, high-frequency noise, low-frequency noise and eight simulated noises. Analysis showed that the noise type affects the accuracy of selection carried out using the HML and SNR methods. For a noise with dominant frequency components, the result for selection carried out using the HML method deviates from the result using the OB method by 7 and 9 dB for earmuffs and earplugs, respectively. The study shows that use of the HML and SNR methods may lead to wrong assessment of the effectiveness of hearing protection with the selected hearing protectors.

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“…The silencer and muzzle brake problems are most often addressed in the scientific literature: impact on bullet trajectory [77][78][79], effects of sound pressure generated during the shot on hearing [80][81][82][83][84][85], and reducing the sound pressure of firearms by using various types of silencers [86][87][88]. However, problems related to the use of the device for recreational use are not addressed.…”

Section: Introductionmentioning

confidence: 99%

Force and Sound Pressure Sensors Used for Modeling the Impact of the Firearm with a Suppressor

et al. 2020

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In this paper, a mathematical model for projectiles shooting in any direction based on sensors distributed stereoscopically is put forward. It is based on the characteristics of a shock wave around a supersonic projectile and acoustical localization. Wave equations for an acoustic monopole point source of a directed effect used for physical interpretation of pressure as an acoustic phenomenon. Simulation and measurements of novel versatile mechanical and acoustical damping system (silencer), which has both a muzzle break and silencer properties studied in this paper. The use of the proposed damping system can have great influence on the acoustic pressure field intensity from the shooter. A silencer regarded as an acoustic transducer and multi-holes waveguide with a chamber. Wave equations for an acoustic monopole point source of a directed effect used for the physical interpretation of pressure as an acoustic phenomenon. The numerical simulation results of the silencer with different configurations presented allow trends to be established. A measurement chain was used to compare the simulation results with the experimental ones. The modeling and experimental results showed an increase in silencer chamber volume results in a reduction of recorded pressure within the silencer chamber.

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Selection of Level-Dependent Hearing Protectors for Use in An Indoor Shooting Range

Cited by 9 publications

References 18 publications

Validation of Ecology and Energy Parameters of Diesel Exhausts Using Different Fuel Mixtures, Consisting of Hydrogenated Vegetable Oil and Diesel Fuels, Presented at Real Market: Approaches Using Artificial Neural Network for Large-Scale Predictions

Validation of Ecology and Energy Parameters of Diesel Exhausts Using Different Fuel Mixtures, Consisting of Hydrogenated Vegetable Oil and Diesel Fuels, Presented at Real Market: Approaches Using Artificial Neural Network for Large-Scale Predictions

The influence of frequency component content on the selection result of hearing protectors

Force and Sound Pressure Sensors Used for Modeling the Impact of the Firearm with a Suppressor

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