Analysis of frequency dependence on short-term annoyance of conventional railway noise using sound quality metrics in a laboratory context

Yoon, Ki Youl; Gwak, Doo Young; Chun, Chanil; Seong, Yeolwan; Hong, Ji‐Young; Lee, Soogab

doi:10.1016/j.apacoust.2018.03.024

Cited by 9 publications

(2 citation statements)

References 29 publications

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“…With the development of information technology (IT), the economic advantages of railway logistics have been highlighted in production and operation (P&O), and infrastructure. By virtue of railway development and resource allocation, railway logistics can fully integrate various functions of modern logistics, such as transport, storage, containerization, and processing [4][5][6][7][8].…”

Section: Introductionmentioning

confidence: 99%

Inventory Management of Railway Logistics Park Based on Artificial Neural Network

Gao¹,

Dou²

2020

JESA

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In recent years, China has stepped up its support to the optimization and development of railways. Meanwhile, the development of modern information technology (IT) has enhanced the economic advantages of railway logistics. To intelligently manage the inventory of railway logistics park (RLP), this paper integrates artificial neural network (ANN) into RLP inventory management. Firstly, the functional demand of RLP inventory management was analyzed comprehensively, and the main factors affecting the inventory demand were divided into different categories. Then, the authors formulated the framework of intelligent inventory management for RLP, and put forward the strategy of continuous periodic inventory monitoring. Finally, a RLP inventory prediction model was constructed based on optimized genetic algorithm (GA) and backpropagation neutral network (BPNN), and proved effective through experiments. The research results provide reference for the application of ANN in inventory management and prediction in other logistics fields.

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Section: Introductionmentioning

confidence: 99%

Inventory Management of Railway Logistics Park Based on Artificial Neural Network

Gao¹,

Dou²

2020

JESA

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“…Ishibashi et al [9] compared the sound pressure level (SPL) with the Zwicker specific loudness of 70 types of environmental noise within the frequency range of 63-4000 Hz, pointing out that they have a strong correlation. Yoon et al [10] compared the Zwicker specific loudness of passing noise between freight trains and subways and determined that noises within frequencies of 20-300 and 2700-4400 Hz have a greater influence on the human perception. Luo et al [11] compared the Moore-Glasberg specific loudness with the SPL spectrum, applying them on both colored noise and high-speed train interior noise, proving that the loudness metric can reflect the characteristics of sound and human sensations.…”

Section: Introductionmentioning

confidence: 99%

Evaluation and Improvement of the Sound Quality of a Diesel Engine Based on Tests and Simulations

Yang

Feng

et al. 2020

Energies

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Traditional acoustic evaluation of a diesel engine generally uses the A-weighted sound pressure level (AWSPL) and radiated sound power to assess the noise of an engine prototype present in an experiment. However, this cannot accurately and comprehensively reflect the auditory senses of human subjects during the simulation stage. To overcome such shortage, the Moore–Glasberg loudness and sharpness approach is applied to evaluate and improve the sound quality (SQ) of a 16 V-type marine diesel engine, and synthesizing noise audio files. Through finite element (FE) simulations, the modes of the engine’s block and the average vibrational velocity of the entire engine surface were calculated and compared with the test results. By further applying an automatically matched layer (AML) approach, the engine-radiated sound pressure level (SPL) and sound power contributions of all engine parts were obtained. By analyzing the Moore–Glasberg loudness and sharpness characteristics of three critical sound field points, an improvement strategy of the oil sump was then proposed. After improvement, both the loudness and sharpness decreased significantly. To verify the objective SQ evaluation results, ten noise audio clips of the diesel engine were then synthesized and tested. The subjective evaluation results were in accordance with the simulated analysis. Therefore, the proposed approach to analyze and improve the SQ of a diesel engine is reliable and effective.

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Diurnal rail noise measurement, analysis, and evaluation of associated health impacts on residents living in the proximity of rail track area

Kumar,

Bhartia,

Mishra

et al. 2024

Environ Monit Assess

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Analysis of frequency dependence on short-term annoyance of conventional railway noise using sound quality metrics in a laboratory context

Cited by 9 publications

References 29 publications

Inventory Management of Railway Logistics Park Based on Artificial Neural Network

Inventory Management of Railway Logistics Park Based on Artificial Neural Network

Evaluation and Improvement of the Sound Quality of a Diesel Engine Based on Tests and Simulations

Diurnal rail noise measurement, analysis, and evaluation of associated health impacts on residents living in the proximity of rail track area

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