This article develops a discrete time dynamic feedback model of a congestion control system for a simple network with TCP Westwood （TCPW） connections and a single bottleneck link with random early detection （RED） ...
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This article develops a discrete time dynamic feedback model of a congestion control system for a simple network with TCP Westwood （TCPW） connections and a single bottleneck link with random early detection （RED） gateway. By using this model, the nonlinear dynamics of the TCPW/RED network are analyzed and its parameter sensitivities are studied. It is shown that periodic doubling bifurcation occurs when the RED control parameters or other parameters are varied. By theoretical analysis, the fixed point, the critical value of parameters and the nature of the bifurcation are determined. Moreover, by using bifurcation diagrams and Lyapunov exponent, the result of theoretical analysis is validated and the bifurcation and chaotic phenomena are numerically studied of the congestion control system with TCPW connections and RED gateway.
Risk evaluation is very important to the design and improvement of physical protection systems. In this paper, an evaluation method of multi-source information fusion is proposed based on the D-S evidence theory. In t...
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A 5-parameter bundle adjustment method is proposed in this paper for global mosaic of an image sequence. By decomposing the rotation matrix into a 3-parameter rotation axis and a rotation angle, to each image, there a...
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As Magnetic Resonance Imaging (MRI) is an important technology of radiological evaluation and computeraided diagnosis, the accuracy of the MR image segmentation directly influences the validity of following processing...
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Synthetic aperture radar (SAR) images are inherently affected by multiplicative speckle noise, which is due to the coherent nature of scattering phenomena. This paper presents a despeckling method for SAR images based...
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Intelligence Science is an interdisciplinary subject which dedicates to joint research on basic theory and technology of intelligence by brain science, cognitive science, artificial intelligence and others. Brain scie...
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Bio-based human computer interface (HCI) has attracted more and more attention of researches all over the world in recent years. In this paper, a HCI system which based on electrooculogram (EOG) is proposed. It transf...
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Bio-based human computer interface (HCI) has attracted more and more attention of researches all over the world in recent years. In this paper, a HCI system which based on electrooculogram (EOG) is proposed. It transforms electrical po-tentials recorded by horizontal and vertical EOG into a computer in order to control external equipment. The system consists of EOG acqui-sition unit, EOG pattern recognition part and control command output unit. Three plane elec-trodes are employed to detect EOG signals, which contain the information related to the eye blinking and vertical (or horizontal) eye move-ments referred to pre-designed command table. An online signalprocessing algorithm is de-signed to get the command information con-tained in EOG signals, and these commands could be used to control the computer or other instruments. Based on this HCI system, the remote control experiments driven by EOG are realized.
Granular computing which imitates the manner of human thinking is the foundation of artificial intelligence. This paper discusses some operations of granules including quotient intersection, quotient union, quotient c...
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ISBN:
(纸本)9781615676583
Granular computing which imitates the manner of human thinking is the foundation of artificial intelligence. This paper discusses some operations of granules including quotient intersection, quotient union, quotient complement and quotient difference. Then defines a knowledge space and presents it by a group of basis. Besides we introduce granule spaces and their main properties.
Thinning algorithms can be classified into two general types: serial and parallel algorithms. Several algorithms have been proposed, but they have limitations. A new thinning algorithm based on the centroid of the blo...
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The amount of blur on the defocus image depends on the depth information of the scene. So depth of the scene can be estimated by calculating the blur with the knowledge of the lens parameters. A novel depth estimation...
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The amount of blur on the defocus image depends on the depth information of the scene. So depth of the scene can be estimated by calculating the blur with the knowledge of the lens parameters. A novel depth estimation mode based on oriented heat-flows is proposed in this paper. In this model, the process of image defocusing is described using oriented heat-flows diffusion. The diffusion can be seen as the coupling of two weighted heat flows along orthonormal directions. The diffusion directions are defined by the local coherence geometry of image and the diffusion strength is the function of blur amount. Experimental results show that the model is quite effective and the emergence of artificial depth information in edge can be avoided by using this model.
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