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PriRS: an AI-driven framework for privacy and reliability in cyber–physical–social systems data sharing
Abstract Cyber–physical–social systems (CPSS) impose stringent requirements for data sharing security and regulatory compliance. However, existing solutions fail to bridge the gap between rigid smart contracts and flexible social regulations. The core research question is: how can we enforce complex, human-readable regulatory policies within rigid blockchain transactions without creating scalability bottlenecks? To address this, we propose PriRS, an AI-driven privacy and reliability framework.
Buildings | Free Full-Text | Investigating Vibration Characteristics of Cross-Laminated Timber Panels Made from Fast-Grown Plantation Eucalyptus nitens under Different Support Conditions
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Behavior of Cross-Laminated Timber Panels Made from Fibre-Managed Eucalyptus nitens under Short-Term Serviceability Loads
3.3. Dynamic Responses The typical acceleration–time graphs for CLT panel are shown in Figure 6. After FFT programming from MATLAB, the results of the fundamental frequency were determined based on the strong peak of the frequency response spectrum. Figure 7 is a typical result of the frequency response spectrum. The experimental results of the fundamental natural frequency and damping ratio are summarised in Figure 8.
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