Improve the safety and performance of internet of things assessment devices: From vibration characteristics, interpretable method of knowledge, and ‎combining data

Chafaa Hamrouni; Aarif Alutaybi; Ghofrane Ouerfelli; Nahaa Eid B  Alsubaie

doi:10.59400/sv2144

Improve the safety and performance of internet of things assessment devices: From vibration characteristics, interpretable method of knowledge, and ‎combining data

Chafaa Hamrouni Department of Computer Sciences, Taif University-Khurma University College, Khurma 2935, Kingdom of Saudi Arabia
Aarif Alutaybi Department of Computer Sciences, Taif University-Khurma University College, Khurma 2935, Kingdom of Saudi Arabia
Ghofrane Ouerfelli Department of Physics- Khurma University College, Taif University, Taif 11099, Kingdom of Saudi Arabia
Nahaa Eid B Alsubaie Department of Mathematics and Statistics, College of University College of Khurma, Taif University, Taif 21944, Kingdom of Saudi Arabia

Article ID: 2144

Keywords: belief rule base with interpretability; belief rule base; computer-aided engineering; dynamic measurement and structural analysis; environment optimization algorithm; internet of things; noise control application; vibration characteristics analysis

Abstract

This research focuses on enhancing the safety, reliability, and performance of IoT devices by optimizing the vibration characteristics of materials and noise control. We analyze materials’ vibration-damping properties to minimize mechanical resonance and ensure stable operation. By evaluating stiffness and resistance to deformation under dynamic stress, we examine the impact of vibration modulus on device reliability. Our study explores how damping and modulus influence vibrational energy propagation, noise reduction, and acoustic clarity. To integrate domain knowledge with real-time data, we develop interpretable methods that provide actionable insights into the mechanical-acoustic relationship. Compared with other established IoT security assessment techniques, this method has more effectiveness and superiority. Hybrid materials combining elastic matrices with rigid reinforcements are developed to fine-tune mechanical and acoustic properties for IoT applications, such as industrial systems or wearable devices. Vibration analysis is applied to predict performance under real-world conditions, improving safety and efficiency. Efforts are directed toward reducing vibrational noise and enhancing sound transmission for devices like smart speakers and voice recognition systems, ensuring a better user experience and greater functional accuracy.

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Published

2025-03-18

How to Cite

Hamrouni, C., Alutaybi, A., Ouerfelli, G., & Alsubaie, N. E. B. (2025). Improve the safety and performance of internet of things assessment devices: From vibration characteristics, interpretable method of knowledge, and ‎combining data. Sound & Vibration, 59(2), 2144. https://doi.org/10.59400/sv2144

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