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Design and Modeling of Adaptive Noise Suppression Systems with Morphological Approach

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Advances in Artificial Systems for Medicine and Education (AIMEE 2017)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 658))

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Abstract

The possibility of the application of a morphological approach for structure synthesis and analysis of new adaptive systems under uncertainty conditions is considered. The process of creating of a morphological table has been carried out sequentially, with the following estimation of all variants located in it, generation, clustering and selecting alternatives. The main aim of a series of modeling and experiments conducted has been to determine sound insulation properties of soundproofing panels employing porous materials under varying stress. That advantageous effect has been achieved by the new so-called 4S-technology (Steerable Sound Suppression System). The creation of deformation zones on a surface and along the thickness of an insulating material, and also the interaction of that material with elastic membranes are the underlying principles of the effect. Varying the degree of deformations and, hence, the density of a sound insulation material, enables an adaptation to a desired degree of sound suppression, and also frequency band, which ultimately allows to create active and adaptive systems for sound insulation, alongside with passive ones.

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References

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Rakov, D., Thorbeck, J., Pecheykina, M. (2018). Design and Modeling of Adaptive Noise Suppression Systems with Morphological Approach. In: Hu, Z., Petoukhov, S., He, M. (eds) Advances in Artificial Systems for Medicine and Education. AIMEE 2017. Advances in Intelligent Systems and Computing, vol 658. Springer, Cham. https://doi.org/10.1007/978-3-319-67349-3_25

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  • DOI: https://doi.org/10.1007/978-3-319-67349-3_25

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-67348-6

  • Online ISBN: 978-3-319-67349-3

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