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Least Square (LS) estimation is a simple but not good enough for localization method which is widely used for target position estimation. The time difference of arrival (TDOA) location based on LS method needs to select a reference sensor to obtain a series of equations. Thus, the measured error of the selected first sensor will certainly influence the location accuracy. In our article, an algorithm...
Space-Time Adaptive Processing (STAP) technique can restrain the effects of interference and clutter effectively. However, the calculation of STAP weights, including QR decomposition (QRD) and solving linear equations needs intensive computation. This paper mainly focuses on improving the QRD algorithm and presents an efficient FPGA design, based on floating point IP core, which can meet the requirement...
In this paper, a method estimating the probability which is used in plurality voting is employed to work for plurality voting. The unknown probability in plurality voting leads to poor performance when classification is performed. Confusion matrix could estimate the probability effectively which is employed in this paper to estimate the probability. UCI datasets have been used to evaluate the applicability...
Gene regulatory networks depict the interactions between genes, proteins, and other components of the cell. These interactions often are stochastic that can influence behavior of the cells. Discrete Chemical Master Equation (dCME) provides a general framework for understanding the stochastic nature of these networks. However solving dCME is challenging due to the enormous state space, one effective...
In the past, assistive robots are used to assist people with physical disabilities through physical interaction and improve the independence and quality of life of persons with disabilities. In this paper, a fuzzy proportional integral derivative controller is proposed which can be tuned by carrying the tuning rules from fuzzy domain. It has been applied and validated in actual mobile assistive system...
In this paper we address the problem of learning the information diffusion probabilities when there is no sufficient data of information diffusion. By observing the information diffusion behavior on the popular social network web-site Twitter, we find that the evidence of information diffusion is extremely sparse. Less than one percent of tweets are retweeted, which is considered as the most important...
There exist numerous erasure codes for RAID-6, of which MDS codes are popular due to the optimal storage efficiency. Although vertical MDS codes have better load balancing compared to horizontal MDS codes, unbalancing problem still exists in some vertical codes, e.g., P-Code. To address this issue, we propose a novel efficient RAID-6 code to support highly balanced I/Os among disk arrays - Balanced...
In this paper, attacks/faults detection and isolation in the Smart Grid system are studied. First, a mathematical model of the power grid system is derived. Then, detection and isolation of attacks/faults using Generalized Observer Scheme (GOS) implementing Kalman Filter are discussed. The attack assessment is performed using χ2-detector. Even though, GOS is effective in isolating attacks/faults on...
Because of low switching losses and wide operation range, series-parallel resonant converter with optimized modulation is attractive. There are three major modeling methods for resonant converters, including approximation method, extended describing function method, and sampled-data method. Approximation method and extended describing function method are simple but relatively inaccurate on heavy load...
Effective workflow scheduling can improve the performance of workflow systems. Based on our previous works related to supporting instance aspect handling in workflows, this paper further studies the time-cost trade-off optimization problem of grouping and scheduling multiple workflow activity instances with the objectives of minimum acitity instances' total dwelling time and minimum acitity instances'...
In order to realize texture image segmentation, a new texture segmentation method is presented. The method fused with Local Binary Pattern (LBP), Gray-level Co-occurrence Matrix (GLCM) and permutation entropy. After processing the texture image by the rotation invariant LBP operator, the LBP image can be obtained. Then co-occurrence matrixes can be calculated in the LBP image, some features which...
The response characteristics of the moving-mass controlled flying vehicle is researched based on the moving-mass control system model of the flying saucer. Simulation results show that when the vehicle flies in the thick atmosphere at low altitude, the states of the vehicle are disturbed by the movement of the sliding mass block, but the disturbance does not appear when the vehicle flies at superhigh...
The scalar wave formulation of computation region and the first-order absorbing boundary condition are given by Maxwell's equations. Then the residuals of entire computation region are presented. The weak form solutions of wave equation are described by take integration over computation domain and its boundary. According to the principle of equivalence, the implementation of extrapolation from 2D...
A new method of the total-scattering field of Finite Element Time Domain (FETD) based on Newmark method to introduce plane wave is presented in this paper. And the scheme of far field extrapolation is given. Finally, the RCS of cylinder in TE case are computed by FETD method, and the results of MoM and FDTD method are given for comparison. The numerical results illustrate the feasibility and correctness...
In this paper, a conformal high-order finite difference time-domain (CHO-FDTD) scheme is present to deal with the dielectric curved objects. The general update equations of the CHO-FDTD have been derivated. The CHO-FDTD method, based on the effective dielectric constant EDC technique, is applied in scattering cases, and the conclusion are that the scheme provides the better accuracy than the HO-FDTD...
Distributed optimization is an emerging research topic. Agents in the network solve the problem by exchanging information which depicts people's consideration on a optimization problem in real lives. In this paper, we introduce two algorithms in continuous-time to solve distributed optimization problems with equality constraints where the cost function is expressed as a sum of functions and where...
In order to solve the two-dimensional code image tilt problem which affects locating the image, establishing and identifying sampling network, we suggest a two-dimensional image tilt correction method. In the proposed method, the least squares support vector machine (SVM) is used to regress the pixel coordinates on the two-dimensional code contour line, which can calculate the two-dimensional code...
This paper is concerned with the evaluation model of emergency capability evaluation for the ship at sea. The goal of our work is to find the human reasons leading to the poor ship emergency capability, and then improve the team cooperation ability in emergency to avoid the vessel accidents. In this paper, firstly, according to the special attitude of the ship on sailing, the emergency capability...
We address the problem of inferring the network link loss rates using end-to-end measurements, which can also be formulated as network tomography. As we have known that most tomography problems are rank-deficit. One kind of method uses multiple probe measurements to acquire more information about the system that may generate much additional overhead; the other method imposes unrealistic assumption...
Motivated by observations of actual clinic operations, we design a hybrid appointment system (HAS) for a single-physician clinic, in which the system serves a mix of acute and chronic-care patient by allowing both advance and same-day bookings to increase patient satisfaction. Because of the existence of no-shows of regular patients who book in advance, to maintain their revenue, clinics must carefully...
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