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Understanding the causality behind the observational data is of great importance to a lot of real world applications, e.g., the improvement of Quality of Service. Non-Gaussianity has been exploited in numerous causal discovery methods for observational linear acyclic data. Transforming non-Gaussianity into indirect metrics is a conventional solution employed by existing methods, although this usually...
In this paper, we propose a new version of advanced global integral and local differential AGILD modeling and inversion. In the outside of enough large 3D sphere, a annular spherical layer to be selected as absorption zone SL. We install GLLH inner cloak EM material in SL. In sphere annular SL layer, we propose GLLH Green's SL layer integral equation of Electromagnetic field for AGILD method. Making...
An early stopping criterion is proposed for low-density lattice codes (LDLC) to reduce the number of decoding iterations. The stopping criterion is based on a new metric which is used to predict the convergence of the iterative decoding algorithm for LDLC. Simulation results demonstrate that the proposed criterion can decrease the average iteration number considerably while the decoding performance...
Vehicle energy-saving is important to relieve source shortage and protect environment. This article mainly discusses the control of parallel hydraulic hybrid heavy vehicle (PHHHV), which uses hydraulic components to recycle the brake energy. Through analyzing the two power sources and two brake systems in the PHHHVs, the control rules have been brought out. By logic threshold value control strategy,...
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