682 papers
This paper introduces a universal, open-source synthetic weather data augmentation technique that generates unlimited meteorological ensembles to overcome the statistical biases of historical records in non-stationary climate systems, revealing significant hidden capacity shortfalls and extreme price risks in U.S. bulk power systems that traditional models fail to detect.
This study empirically demonstrates that while both IPv6/MPLS and SRv6 forwarding architectures meet 5G transport requirements under steady-state conditions, SRv6's source-based routing exhibits distinct performance characteristics in jitter and worst-case latency compared to destination-based routing under burst-load scenarios typical of eMBB and URLLC traffic.
This study experimentally investigates the overall heat transfer coefficient of a multi-channel evaporator heated by subcritical CO₂, demonstrating that the coefficient increases with higher mass flow rates and Reynolds numbers, and subsequently develops a highly accurate empirical correlation to guide the design and performance evaluation of such systems.
This study proposes and validates an integrated framework combining a genetic algorithm-optimized SAP2000 model, shaking table tests, and an SSA-BP neural network to optimize viscous damper parameters for adjacent structures, demonstrating that multi-location damper deployment significantly enhances seismic vibration control and enables accurate response prediction.
In a study of 40 older adults in Qatar, movement predictability was found to be the primary determinant of fear-relevant responses during initial encounters with social robots, exerting a stronger influence than robot appearance or postural configuration.
This study utilizes Ansys simulations to demonstrate that increasing the thickness of Cross-Laminated Timber (CLT) panels from 3 to 7 layers significantly improves their thermomechanical performance under elevated temperatures by reducing heat transfer to connection screws and minimizing structural deflection.
This study employs the Volume of Fluid (VOF) method to simulate pore-scale oil-water two-phase flow in porous media, revealing that injection velocity, wettability, and pore structure collectively govern displacement mechanisms and demonstrating that periodic intermittent and variable-rate injection schedules significantly enhance oil recovery efficiency while reducing cumulative water requirements compared to constant-rate injection.
This study demonstrates that cold-pressed, cement-free interlocking bricks utilizing *Detarium senegalense* seed powder as a bio-binder achieve an optimal compressive strength of 5.53 MPa at a 20% binder content, proving their viability for non-load-bearing construction while highlighting the need for improved water resistance.
This study demonstrates that the I95 index, derived from double-differenced ionospheric residuals, serves as an effective empirical indicator for predicting Network RTK performance degradation under low-latitude ionospheric disturbances, establishing specific threshold values that define four distinct performance regimes and revealing a significantly stronger degradation effect in 2024 compared to 2019.
This paper analyzes dynamic airflow patterns in traditional Cairene enclosed courtyards to identify three principal ventilation typologies driven by geometric parameters and solar radiation, offering evidence-based design strategies for enhancing passive thermal comfort in hot-arid climates.