1712 papers
This paper presents a comprehensive comparison of computational fluid dynamics simulations against extensive experimental data for the empty Virginia Tech Stability Wind Tunnel, utilizing a systematically refined grid family to establish best practices for modeling subsonic wind tunnel facilities.
This paper addresses the challenge of QoS-aware medical video streaming in battery-powered Healthcare IoT networks by proposing HQ-DMVS, a polynomial-time heuristic algorithm that jointly optimizes source admission, node-disjoint multipath routing, and rate control to achieve near-optimal utility, significantly reduced delay, and extended network lifetime compared to existing methods.
This paper proposes a host-centered, grid-based framework that utilizes an extended Kalman Filter to estimate continuous relative motion and calculate time-to-collision for visionless sensors, ensuring robust collision prediction in ADAS under adverse conditions.
This study demonstrates that paraffin-alkali treatment of sisal fibers significantly enhances the workability, durability, and mechanical strength of sisal fiber-reinforced concrete by reducing water absorption and chloride ingress while improving fiber-matrix bonding.
This paper presents a round-robin test by 12 laboratories revealing that thermal conductivity measurements of hemp concrete exhibit significant variability due to moisture sensitivity and methodological differences, leading to the conclusion that current values should be treated as indicative rather than absolute and necessitating improved standardized protocols.
This paper presents an experimental and analytical framework demonstrating that while carbon black, micron-aluminum, and nano-aluminum additives yield equivalent fuel regression rates in paraffin/GOX hybrid rockets, they induce fundamentally distinct combustion instability signatures, which are effectively categorized using a data-driven ensemble classifier.
This study demonstrates that coordinating adaptive traffic signal control with autonomous vehicles across 100 Chinese cities significantly reduces travel time and carbon emissions through systemic traffic flow optimization, delivering substantial economic and environmental benefits without requiring road expansion.
This study demonstrates that for sparse-view 3D reconstruction of coronary vasculature from noisy C-arm images, Siddon's weighted ray-tracing algorithm combined with Total Variation minimization significantly outperforms Bresenham's binary approach by achieving higher geometric accuracy and better noise suppression.
This paper presents a comparative Monte Carlo study evaluating Pole Placement, LQR, and Sliding Mode Control for an autonomous agricultural robot, revealing that while Sliding Mode Control offers superior heading accuracy and reduced control effort, Pole Placement and LQR provide better position tracking essential for row-following tasks, thereby offering practical guidance for controller selection based on specific farming requirements.
This paper proposes a Multi-Layer Particle Swarm Optimization (MLPSO) algorithm to solve the Optimal Reactive Power Dispatch problem in renewable-integrated power systems with FACTS devices, demonstrating superior performance in minimizing power losses and voltage deviations compared to existing optimization techniques across various scenarios on a modified IEEE 30-bus network.