1593 papers
This study establishes and validates a multiphysics thermal model for navel moxibustion by combining contact thermocouple measurements and infrared thermography, revealing that the moxa cone's peak temperature reaches approximately 650°C while the dough partition effectively maintains the tissue interface within a safe 43.0–46.5°C range.
This study utilizes eQUEST simulations to reveal that despite achieving comparable overall LEED v4 energy savings, two Core and Shell IT park buildings in Bangalore's temperate climate exhibit divergent end-use performance profiles, most notably a counterintuitive increase in chilled-water pump energy consumption in one building, thereby demonstrating that HVAC plant configuration critically shapes energy saving distributions more than climate or certification frameworks alone.
This paper proposes a fuzzy theory-based fault diagnosis system for electric vehicle power batteries that, despite a slight increase in judgment time, significantly improves the accuracy of insulation and communication fault detection to 92.3% and 97.7% respectively, thereby enhancing overall vehicle safety and reliability.
This paper presents a novel iterative method that significantly reduces the calculation time for determining permanent magnet thickness in PMSMs compared to traditional finite-element parametric sweeps, while maintaining identical accuracy and design efficiency.
This paper presents a piezoelectric-driven MEMS electric field sensor that utilizes third-superharmonic resonance to simultaneously achieve high sensitivity through nonlinear amplification and superior performance by effectively isolating the signal from parasitic capacitive feedthrough, thereby overcoming the dynamic range limitations inherent in traditional Duffing-based designs.
This paper introduces an explainable deformable matched-filter framework that uses machine learning to learn low-dimensional corrections to classical matched filters based on physical receiver states, thereby improving optical wireless communication performance while providing measurable insights into the specific limitations of classical receiver theory.
This paper presents a non-intrusive, full-3D intrinsic modal formulation for geometrically nonlinear structural dynamics that derives a reduced-order model from unrotated continuum equations, enabling the seamless assembly of 3D, shell, and beam subdomains without requiring access to element-level codes or nonlinear finite-element solutions.
This paper proposes a physics-guided multi-modal AI framework that jointly optimizes massive antenna arrays and predicts channel state information for 6G integrated sensing and communication systems by leveraging radar-based sensing data to overcome the challenges of high-frequency, low-latency, and ultra-dense connectivity.
This paper presents the design, finite element simulation, and experimental fabrication of a novel monolithic 4-DOF piezoelectric stage utilizing distributed electrode-excitation of unimorphs, which achieves specific X-tilt, Y-tilt, Z-translation, and Z-rotation displacements at 100V DC.
This study presents a robust quantitative framework for characterizing hydrogen jet stratification by combining planar laser-induced fluorescence (PLIF) and laser-induced breakdown spectroscopy (LIBS) to reconstruct two-dimensional fuel concentration fields, revealing distinct injection stages and providing critical data for validating CFD models and optimizing direct-injection strategies.