598 papers
The paper argues that fusion power can achieve commercial viability and address global energy security challenges by leveraging high-temperature superconductors to reduce costs, with the VOYAGER project specifically highlighted as a competitive, high-capacity solution due to its optimized HTS magnet system design.
This study proposes and validates a novel dual-modal fiducial marker featuring a central cube and four cylindrical axes that satisfies the specific constraints of MR-guided surgical navigation by enabling single-view X-ray pose recoverability and achieving high-accuracy optical recognition.
This paper addresses image quality degradation in aerial cameras caused by production defects such as bad pixels, abnormal spectrum responses, and pixel pollution by implementing three statistical ground compensation methods to recover and enhance the resulting imagery.
This paper presents a monolithic soft robot fabrication method using hollow-strut lattice architectures to integrate distributed pneumatic actuation and multi-mode sensing within a single printed body, thereby eliminating the need for post-assembly fluidic tubing while enabling simultaneous bending and tactile detection through a topology-aware, single-channel sensing system.
This paper applies Expected Hypervolume Improvement (EHVI) to optimize sports equipment designs for a discus and a race car rear wing, identifying key aerodynamic parameters while noting that EHVI tends to cluster solutions near the center of the objective space, thereby limiting its ability to capture extreme Pareto-optimal outcomes.
This study demonstrates that laser powder bed fusion (L-PBF) is a viable manufacturing method for creep-resistant P92-type steel, achieving a porosity-free condition below 0.1% through the optimization of process variables to a laser power of 250 W, scanning rate of 1 m/s, hatch spacing of 80 microns, and nitrogen shielding.
This study validates the necessity of using empirically determined, diameter-specific friction coefficients for flexible fire hoses by demonstrating through laboratory experiments and CFD simulations that their hydraulic friction losses significantly exceed smooth-pipe theoretical predictions due to structural and material irregularities.
This study proposes a deep learning–based semantic GIS framework that integrates heritage preservation with green space planning to identify priority zones for climate-responsive interventions in historic urban environments, demonstrated through a case study in Cairo's Mamluk Desert Cemetery.
This paper presents a key-driven switched-capacitor converter that utilizes a non-periodic PUF-generated digital key to authenticate hardware access, where mismatched keys trigger a self-destruct mechanism via hot-carrier injection-induced degradation and a startup-time detector to disable downstream circuitry.
This study demonstrates that while a naive persistence baseline outperforms six machine learning algorithms for short-term pavement temperature forecasting across all depths in a continental climate, machine learning methods offer limited but real value at longer horizons and greater depths where thermal inertia dampens high-frequency variability.