Nonlinear Perception Characteristics Analysis of Ocean White Noise Based on Deep Learning Algorithms

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS
Tao Qian, Ying Li, Jun Chen
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Abstract

Caused by nonlinear vibration, ocean white noise exhibits complex dynamic characteristics and nonlinear perception characteristics. To explore the potential application of ocean white noise in engineering and health fields, novel methods based on deep learning algorithms are proposed to generate ocean white noise, contributing to marine environment simulation in ocean engineering. A comparative study, including spectrum analysis and auditory testing, proved the superiority of the generation method using deep learning networks over general mathematical or physical methods. To further study the nonlinear perception characteristics of ocean white noise, novel experimental research based on multi-modal perception research methods was carried out within a constructed multi-modal perception system environment, including the following two experiments. The first audiovisual comparative experiment thoroughly explores the system’s user multi-modal perception experience and influence factors, explicitly focusing on the impact of ocean white noise on human perception. The second sound intensity testing experiment is conducted to further explore human multi-sensory interaction and change patterns under white noise stimulation. The experimental results indicate that user visual perception ability and state reach a relatively high level when the sound intensity is close to 50 dB. Further numerical analysis based on the experimental results reveals the internal influence relationship between user perception of multiple senses, showing a fluctuating influence law to user visual concentration and a curvilinear influence law to user visual psychology from the sound intensity of ocean white noise. This study underscores ocean white noise’s positive effect on human perception enhancement and concentration improvement, providing a research basis for multiple field applications such as spiritual healing, perceptual learning, and artistic creation for human beings. Importantly, it provides valuable references and practical insights for professionals in related fields, contributing to the development and utilization of the marine environment.
基于深度学习算法的海洋白噪声非线性感知特性分析
海洋白噪声由非线性振动引起,具有复杂的动态特性和非线性感知特性。为了探索海洋白噪声在工程和健康领域的潜在应用,本文提出了基于深度学习算法生成海洋白噪声的新方法,为海洋工程中的海洋环境模拟做出了贡献。包括频谱分析和听觉测试在内的比较研究证明,利用深度学习网络生成的方法优于一般的数学或物理方法。为进一步研究海洋白噪声的非线性感知特征,在构建的多模态感知系统环境中,基于多模态感知研究方法开展了新颖的实验研究,包括以下两个实验。第一个视听对比实验深入探讨系统的用户多模态感知体验和影响因素,明确关注海洋白噪声对人类感知的影响。第二个声强测试实验是为了进一步探索白噪声刺激下的人类多感官交互和变化规律。实验结果表明,当声强接近 50 dB 时,用户的视觉感知能力和状态达到了相对较高的水平。基于实验结果的进一步数值分析揭示了用户多感官感知的内在影响关系,显示了海洋白噪声声强对用户视觉集中度的波动影响规律和对用户视觉心理的曲线影响规律。这项研究强调了海洋白噪声对人类感知增强和注意力提高的积极作用,为人类精神治疗、感知学习和艺术创作等多个领域的应用提供了研究基础。重要的是,它为相关领域的专业人士提供了有价值的参考和实用见解,为海洋环境的开发和利用做出了贡献。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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