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RFID technology has been widely adopted in a variety of applications from logistics to access control. Many applications gain benefits from knowing the exact position of an RFID-tagged object. Existing localization algorithms in wireless network, however, can hardly be directly employed due to tag's limited capabilities in terms of energy and memory. For example, the RSS based methods are vulnerable...
A novel motion compensation (MoCo) algorithm for high resolution (HR) spotlight SAR imagery is proposed. It is capable of correcting both phase error and range cell migration (RCM) in the post-PFA data domain. It is a robust way to estimate phase error by Map-drift (MD) method, including range-invariant and range-variant ones. What is more, the random characteristic of RCM is also taken into consideration...
GrabCut is a classical efficient algorithm used in image segmentation. In this paper we provide an approach of video segmentation—an algorithm which is called “GrabCut in local window algorithm” based on GrabCut algorithm. First, make cutout with GrabCut in series of overlap local windows and get corresponding local contour boundaries. Then the contour boundaries in local windows are linked to get...
Group discussion is an newly important way in discrete dynamic models, we named it Galam models. In each update procession, the population will be divided into groups with a fixed number of members. After discussion, each group will share the same opinion. However, in such away we will encounter a common problem, which is that a tie appears in a group. We can solve the problem in many ways, but one...
This paper researches the optimization of injection strategies of polymer flooding in oil recovery. An optimal control problem (OCP) of a distributed parameter system (DPS) is established, in which the functional of performance index is profit maximum and the governing equations are the fluid equations in porous media. The control variables are chosen as the polymer concentrations and the switching...
In this paper, we proposed a DRM authentication scheme with smart-card. We first defined a three-role based DRM implementation scenario (server, playback device and smart-card), and then fully considered its security and performance challenges. Our scheme is based on identity based encryption and it's implementation-oriented. The scheme is efficient at server-side and compact in smart-card design...
This paper proposes background segmentation methods that integrate color, Ibp contrast and motion cues so as to improve the segmentation results. The background color models based on GMMs are developed to describe the scene. Motion cues is presented to detect the legitimate moved foreground pixels combining with the background subtraction. Lbp contrast features are used to calculate the image contrast...
Dynamic programming (DP) is an approach to computing the optimal control policy over time under nonlinearity and uncertainty by employing the principle of optimality introduced by Richard Bellman. Instead of enumerating all possible control sequences, dynamic programming only searches admissible state and/or action values that satisfy the principle of optimality. Therefore, the computation complexity...
Abstract In order to weaken the chattering phenomenon of sliding mode control, a design method of sliding mode control based on the fuzzy switching gain of 3-DOF helicopter is presented. This method hangs together the advantage of fuzzy control and sliding mode control, using fuzzy control to adjust the reach law parameter of sliding mode control. It ensures the robustness of sliding mode control...
Thermal conduction physical method based on finite element model (FEM) is utilized in searching for the shortest path between two nodes in complex networks. The thermal flux matrix of nodes is constructed, and the element with the maximal value in each node thermal flux vector indicates one section of the shortest path to the source node. Theoretical analysis and experimental results show that the...
This paper shows an approach to integrating common approximate dynamic programming (ADP) algorithms into a theoretical framework to address both analytical characteristics and algorithmic features. Several important insights are gained from this analysis, including new approaches to the creation of algorithms. Built on this paradigm, ADP learning algorithms are further developed to address a broader...
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