598 papers
This study demonstrates that optimizing TiCN particle size through ball milling enhances the electromagnetic properties of TiCN/NiFe₂O₄ composite patch antennas, resulting in superior return loss and bandwidth performance suitable for X and Ku band microwave applications.
This paper presents a computationally efficient wing mass estimation method for high-aspect-ratio box-wing regional aircraft by utilizing a geometrically nonlinear beam model within a refined aero-structural analysis framework to derive a weight-estimation relationship and a surrogate model that overcome the limitations of traditional semi-empirical equations.
This paper proposes a CAD-free, 3D vision-guided adaptive trajectory planning framework for robotic welding that utilizes multi-source point cloud fusion and a novel Point Density Curvature feature to achieve high-precision, closed-loop welding on complex, customized workpieces.
This study combines numerical modeling and experimental validation to demonstrate that rectangular enclosure geometries optimize melting kinetics for rapid thermal discharge in sub-zero energy storage, while triangular shapes hinder convection and cylindrical designs offer the highest predictive accuracy.
This paper proposes a universal, non-contact "Permeability-Tuned Magnetic Transmission" that leverages magnetic permeability variations to provide flexible, high-force amplification for diverse soft actuators, thereby enabling their miniaturization and improved energy efficiency.
This paper introduces a novel single-shot link discovery paradigm for millimeter-wave and sub-terahertz networks that utilizes space-polarization encoded metasurfaces to map spatial directions to distinct polarization signatures, enabling accurate beam alignment without iterative scanning or large bandwidths.
This paper proposes a multi-time-scale optimal dispatching framework for Virtual Power Plants that integrates a carbon-green certificate interconnected trading mechanism to prevent market risks, employs a two-layer robust model for day-ahead planning, and utilizes distributed model predictive control for intra-day adjustments, thereby achieving low-carbon, economic, and reliable operation under renewable energy uncertainties.
This case study in Bangladesh demonstrates that substituting natural coarse aggregate with 50–75% electric arc furnace (EAF) slag significantly enhances concrete's compressive strength and durability while reducing water absorption, offering a sustainable solution for infrastructure development.
This paper demonstrates an interpretable, low-power compute-in-memory implementation of Kolmogorov-Arnold networks using commercial triple-level-cell V-NAND flash memory, which achieves high prediction accuracy for multimodal gas sensing while significantly reducing energy consumption and memory requirements compared to traditional multilayer perceptrons.
This paper presents a vision-guided robotic system that integrates a six-degree-of-freedom collaborative robot, YOLO-based machine vision, and force-controlled milling to automatically identify and remove stitches from end-of-life footwear, achieving sub-millimeter positioning accuracy to facilitate efficient material recovery and component reuse.