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We resort to a Bayesian framework and design knowledge-aided (KA) Rao and Wald tests for radar adaptive detection based on the partially homogeneous model, which outperform their conventional counterparts in heterogeneous environment. Meanwhile, the coincidence of the proposed detectors is proved.
This paper presents a novel markerless augmented reality based piano teaching system, which tracks the real keyboard of piano naturally. Following the virtual hands augmented on the keyboard, beginners of piano can practice playing piano. Instead of the marker in traditional AR system, the geometrical parameters of the piano keyboard are detected to calculate the transformation matrix from keyboard...
A meshfree particle-based Lagrangian method—Smoothed Particle Hydrodynamics (SPH) has been applied to simulate instantaneous dam-break flows. The dam-breaks generated highly unsteady and rapidly varied flows moving over the beds and obstacles, so it was very complicated by fixed grid numerical simulations. The SPH method performed well when the flood wave moved over a flat bed, the strong hydraulic...
Permanent-magnet synchronous-motor is a multi-variable, non-linear, strong coupling system that is highly sensitive to the outer interfere and inter perturbation. To improve the system robustness, the adaptive back-stepping control of permanent magnet synchronous motor based on slide mode observer is put forward. Based on the mathematic model of permanent magnet synchronous motor and the theory of...
A novel efficient trilateration algorithm is presented to estimate the position of a target object, such as a mobile robot, in a 2D or 3D space. The proposed algorithm is derived from a nonlinear least-squares formulation, and provides an optimal position estimate from a number (greater than or equal to the dimension of the environment) of reference points and corresponding distance measurements....
Resource replication has been emerging as one of the most widely studied phenomena in a distributed environment. In this paper, we propose a novel distributed approach, named MetroReplica, to achieve the global optimized resource replication. MetroReplica is a Markov Chain Mote Carlo sampling algorithm based on the metropolis-hastings algorithm, which never employ the global information but a replication...
Word alignment plays a critical role in statistical machine translation (SMT) and cross-language information retrieval. Until now, most existing methods get the word alignment within the whole range of the sentence length. The alignment quality is unsatisfactory. In this paper, we propose a novel approach to word alignment based on multi-grain model (WAMG). We split a parallel sentence pair into blocks...
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