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In this paper, the one-step leapfrog weakly conditionally stable finite-difference time-domain (WCS-FDTD) method for lossy media is proposed. By adopting Crank-Nicolson and Peaceman-Rachford schemes, the derived equations involve the calculation of lossy media terms at two time steps. To check the effectiveness of proposed method, numerical investigations are performed. It is shown that the proposed...
Graph has been widely adopted in Social Network Service (SNS) applications because it is very easy to represent user relationship information. In order to achieve high performance, prevalent algorithms tend to keep the graph data in memory to speed up the data access. However, failing to balance the costs of random access patterns and physical memory consumption hurts the effectiveness. In this paper,...
The objective of load identification is to manage power consumption by the determination of the operation schedule of individual appliances. We applied fuzzy clustering analysis and fuzzy pattern recognition algorithm to load identification in this paper. In the method, the most ideal state is to treat each household appliance as a classification, then cluster them, and get a clustering result about...
Based on Biot's wave propagation equations and boundary conditions, the Galerkin method is used to derive the u-p format finite element equation in the frequency domain by Fourier transform. The track and the attached sleepers are simplified as Euler beams resting on saturated half-space, the wave-number transform in the load moving direction is applied to reduce the three-dimensional (3D) dynamic...
In a visual surveillance system, robust tracking of moving objects which are partially or even fully occluded is very difficult. In this paper, we present a method of tracking objects through occlusions using a combination of Kalman filter and color histogram. By changing covariance of process noise and measurement noise in Kalman filter, this method can maintain the tracking of moving objects before,...
Being a harmful component, systematic error should always be eliminated and compensated during the procedure of surveying data processing. With further development in science and technology of surveying and mapping, some researchers extract systematic error by penalized least squares method when such systematic error is not random variable, therefore gain more understanding of systematic error to...
Accurately estimating the deformation of rock mass is a very important work for surveyors. Aiming at the limitation of the conventional grey GM (1, 1) model, we propose that the structure methods of background value and the initial condition in grey GM(1, 1) model have an important influence on this model's precision and adaptableility. From this point of view, an optimized grey model is developed...
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