Dynamic Bayesian network is the extension of Bayesian network in solving time series problems .It can be well dealt with the time-varying multivariable problem. A state model is given based on Dynamic Bayesian network. The model can more accurately describe the relationship between the system state and the influencing factors. Single-step and multi-step prediction algorithms are given to predic...

Transmission Control Protocol (TCP) is the dominant reliable transport protocol utilized in the Internet. Improving the performance of TCP associated with the presence of multi-hop is one of the research challenges in wireless mesh networks. Wireless mesh networks have large round trip time variations and these variations are dependent on the number of hops. In wireless mesh network, when conge...

Realistic 3-D face modeling is a challenging research topic that involves tight integration of computer vision and computer graphics techniques. Acquisition of surface textures is an indispensable step in realistic 3-D face modeling. In this paper, we propose a camera-calibration based method to register 3-D mesh models with multi-view color images. Then a global texture map is synthesized from...

This report introduces a novel adaptive image segmentation algorithm which represents images by polygonal segments and which is particularly suitable for the segmentation of noisy imagery. At first we suggest an intuitive generative model and its associated cost function. The cost function can effectively be optimized by a hierarchical triangulation algorithm, which iteratively refines and reor...

The Courant-Friedrichs-Lewy (CFL) condition guarantees the stability of the popular explicit leapfrog method for the wave equation. However, it limits the choice of the time step size to be bounded by the minimal mesh size in the spatial finite element mesh. This essentially prohibits any sort of adaptive mesh refinement that would be required to reveal optimal convergence rates on domains with...

In turbomachinery optimisation problems, run time is often a critical factor due to high dimensionality of the design search space. This work explores the use of the multi-fidelity method to speed up an aerodynamic optimisation algorithm applied to axial compressor blades. A rotor blade is optimised in a two-stage blade geometry for maximum isentropic efficiency. The single-fidelity reference o...

Mesh generation on 3D segmented images is a fundamental step for the construction of realistic biomechanical models. Mesh elements with low or large dihedral angles are undesirable, since they are known to underpin the speed and accuracy of the subsequent finite element analysis. In this paper, we present an algorithm for meshing 3D multi-label images. A notable feature of our method is its abi...

The G-Mesh-Lab is a Wireless Multi-hop Network research project of the Freie Universität Berlin. As part of the Real World G-Lab Project, the focus of G-Mesh-Lab is to research and develop next-generation multi-hop network algorithms and protocols. It utilizes the DES-Testbed [1][2][3], which offers a sophisticated testing and evaluation framework, making it possible to define, schedule, run, m...

This paper presents a voxel-based animation technique which employs either a massspring model or a nite elementmodel. The voxel-based mesh is generated in a pre-processing step. Two volumetric objects, a voxelized chair and scanned muscle are used as case studies with di erent models. The mass-spring model is used to show an animation sequence of a falling and bouncing chair. Wireframe display ...

A new approach to the design of collective communication operations in wormhole-routed mesh networks is described. The approach extends the concept of dominating sets in graph theory by accounting for the relative distance-insensitivity of the wormhole switching strategy and by taking advantage of a multi-port communication architecture, which allows each node to simultaneously transmit message...