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This paper presents an improved transformer core modelling for slow-front transients caused by 50 Hz line energization. Two single-phase 16 kVA, 11 kV/ 250 V oil-immersed distribution transformers with only basic nameplate data available are used for the study of magnetising and sympathetic inrush transients. Instead of using the classic Steinmetz Saturation Transformer Model as in previous study,...
An efficient parallelization of the dual-primal finite-element tearing and interconnecting algorithm (FETI-DP) is presented for large-scale electromagnetic simulations. To reduce global reductions, iterative solvers with an iterating classical Gram-Schmidt (ICGS) scheme and a communication-avoiding (CA) approach are respectively implemented for the interface problem and the coarse corner problem....
To suppress traffic jam, we proposed a new modified coupled map car following model with proportional velocity difference factor. In this new kind of model, the full velocity difference value between two successive vehicles was incorporated into following vehicle's acceleration running equation. By taking the small velocity disturbance of preceding vehicle as error input, the system stability dynamics...
In this paper, we aim to address the challenges of atomistic simulations posed by traditional ab-initio modeling approaches for electronic structure calculations. We propose to demonstrate the robustness of our real-space mesh modeling framework capable to produce well-suited and scalable problems for addressing large-scale ab-initio simulations. First-principle simulations are performed solving the...
In recent years, video analysis and event recognition are becoming a popular research topic with wide applications in surveillance and security. In this paper, we proposed a video action appearance modeling based on spatio-temporal graph embedding and video action recognition based on video luminance field trajectory spline modeling and aligned matching. Graphs are computed from spline re-sampling...
Using the framework of quotient image model, this paper presented a median filtering-based method (MFQI) for the illumination normalization of facial images. The proposed method first uses adaptive median filtering to derive an estimation of the received light, and then uses the quotient image model for local illumination normalization. Compared with the other quotient image methods, MFQI does not...
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