598 papers
This paper presents and validates an electromagnetic modeling methodology for a 600 MVA phase-shifting transformer that utilizes limited design data combined with experimentally obtained DC hysteresis measurements to accurately reproduce nonlinear magnetic characteristics for transient and protection studies.
In high-density, hot-humid Central Jakarta, a parametric study reveals that urban morphological density (site coverage and building height) overwhelmingly dominates office building energy performance by reducing cooling loads through mutual shading and lower sky view factors, rendering façade orientation virtually insignificant.
This paper presents a finite element-based methodology to analyze how dry, mineral oil, and natural ester insulation media influence the frequency-dependent impedance, resonance damping, and internal voltage stress of a 630 kVA transformer winding within a Frequency Response Analysis framework.
This study develops a machine learning-based hourly air quality forecasting system for Kerman, Iran, utilizing a multi-stage preprocessing pipeline and ensemble tree models to effectively predict six criteria pollutants while identifying key temporal patterns and meteorological drivers in an arid urban environment.
This study demonstrates that replacing up to 10% of coarse granite aggregate with broken earthenware yields concrete meeting standard engineering requirements with minimal strength reduction, offering a cost-effective and environmentally sustainable solution for construction while suggesting higher replacement rates for specific chemical exposure scenarios.
This review critically analyzes 244 studies on AI-driven damage assessment for roads, bridges, and buildings, revealing that data availability and sensing modality constraints—not model superiority—limit operational adoption, and proposes a future research agenda centered on foundation models, multimodal fusion, and physics-informed AI to build more resilient infrastructure.
This study reveals that in deep inclined coal seams, the onset of strong pressure relief during lower protective seam mining does not immediately trigger synchronous gas-drainage enhancement, exhibiting a significant spatial lag and nonuniform conversion that necessitates a new compaction-based criterion and lag-corrected framework to define effective protection ranges and drainage timing.
This study proposes and validates a zonal differentiated support optimization scheme for the west-wing auxiliary haulage roadway at Banji Coal Mine, which effectively mitigates severe deformation and plastic failure caused by the combined mining influence of a stopping-line coal pillar and goaf by tailoring reinforcement measures to specific high-stress zones.
This paper proposes a hybrid LCNN-Mamba model enhanced by quadratic decomposition (STL and CEEMDAN) to effectively address the non-stationarity and multiscale fluctuations in wind power data, achieving superior short-to-medium-term forecasting accuracy through the synergistic integration of local convolutional feature extraction and global state-space dependency modeling.
This paper proposes a novel finite-time barrier function-based sliding mode control strategy that ensures rapid, safe, and accurate trajectory tracking for autonomous sailboats by guaranteeing finite-time convergence and explicitly constraining system states within predefined bounds despite nonlinear dynamics and environmental disturbances.