1665 papers
This study pioneers an integrated workflow combining 3D scanning, finite element simulation, and intelligent optimization to compare the acoustic characteristics of historical Qing Sunaiyi and modern Suona, ultimately quantifying the impact of bell geometry on radiation performance and optimizing the modern instrument's design for enhanced sound pressure levels.
This study proposes a physics-informed Gaussian Process Regression framework that accurately predicts the pressure drop decay of porous fiber matrices and quantifies uncertainty to identify an optimal 2-to-61.1-hour production window, thereby enabling intelligent, data-driven scheduling and quality control in advanced manufacturing.
This study demonstrates that introducing spatially non-uniform gas intake in a porous media burner creates a stable wavy flame front with enhanced heat recirculation, significantly expanding the operating limits and minimizing emissions for low-concentration coal mine methane combustion.
This paper proposes QuatHashing, a reduced-reference visual security assessment method that utilizes quaternion discrete wavelet transform on directional complementary sub-bands and attention mechanisms to generate perceptual hashes for effectively evaluating the quality of encrypted images.
This paper presents a comprehensive optimization framework for 500 kV eco-friendly gas-insulated current transformers that integrates geometric structure refinement and multi-objective gas-mixture selection to achieve superior dielectric performance, environmental sustainability, and operational robustness compared to traditional SF6 and dry-air schemes.
This study demonstrates that a commercial office inkjet printer can cost-effectively fabricate reliable silver interdigitated electrodes on PET substrates, which, when coated with cuprous oxide, function as flexible ethanol sensors with high adhesion and repeatable performance.
This paper presents the "SecureFlow" framework, which evaluates and demonstrates the vulnerabilities of Internet of Medical Things (IoMT) devices to non-invasive optical attacks using lasers, aiming to establish critical security measures to safeguard patient safety.
This paper proposes an IoT-enabled framework integrating wireless sensors, edge computing, cloud infrastructure, and machine learning to enable continuous vibration monitoring and predictive maintenance for critical cement plant equipment, aiming to reduce downtime and transition from preventive to proactive reliability strategies.
This numerical study demonstrates that geosynthetic-encased stone columns (GESCs) significantly enhance the bearing capacity and settlement performance of embankments on soft clay, with optimal results achieved through high-stiffness encasements, full-length installation, and group configurations that accelerate pore water pressure dissipation.
This study utilizes the Taguchi method to optimize solder paste printing parameters for high-density SMT micro-assembly, identifying squeegee speed as the most influential factor and achieving a 62.3% reduction in defect rates through an L9 orthogonal array design.