Applied Mechanics and Materials Vols. 303-306

Abstract: According to the property of the 16 - intersection model and the definition of broad boundary region, we provide a method of semi-automatic expression to represent the topological relations between a concave region and a simple broad boundary region. Give the algorithm and specific constraints and thus 67 topological relations are derived. The topological relations of the semi-automatic expression are proved to be exclusive and complete. The semi-automatic expression provides a new idea for the research of topological relations representation.

Abstract: The paper considers the problems of global exponential stability for stochastic delayed high-order Hopfield neural networks with time-varying delays. By employing the linear matrix inequality(LMI) and the Lyapunov functional methods, we present some new criteria ensuring globally mean square exponential stability. The results impose constraint conditions on the network parameters of neural system independent. The results are applicable to all continuous non-monotonic neuron activation functions.

Abstract: To solve the poor robustness problem that object tracking only by fixation fusion based on multiple clues, an online adaptive fusion tracking algorithm based on multiple clues is proposed. the weighting of the different clues is online adjusting based on scene change , the more the feature contributes, the more a larger value, the less the feature contributes ,the less a smaller value. Simulation results show that this algorithm provides better robustness and stability.

Abstract: In order to solve the practical application problem, which traditional neural network takes too long and compute complexly, on the basis of the LM algorithm, combined with mathematical optimization theory, identify the three convergence Improved LM algorithm applied to BP neural network , that improved LMBP algorithm. Simulation results show that the improved LMBP algorithm in convergence time and goodness of fit both have better results, and the algorithm is general and can be produced by obtaining national sample of various scenarios, using the algorithm to predict, to better guidance on production.

Abstract: This paper doing research on the technology of multiple virtual human’s rendering. With the problem of too much triangular patches needed to be rendering ,make improvement on the technology of instancing based on GPU and combinate the method of LOD, put forward the algorithm of large-scale animated virtual human rendering based on instancing. This algorithm reduces the communicating overhead between CPU and GPU, raises the efficiency of large-scale animated virtual human rendering.

Abstract: As one of the crucial issues of computer vision, video object tracking is widely used in many applications, such as visual surveillance, human-computer interaction, visual transportation, visual navigation of robots, military guidance, etc. The existing object tracking algorithms in engineering applications have the huge amount of computation, which can not meet the needs of real-time system applications, and the tracking accuracy is not high. So a simple and practical video object tracking algorithm is proposed in this paper. The Otsu algorithm is used for image binarization to filter the background, and the object edge is further processed based on mathematical morphology, and thus the tracking object is more clearly. The centroid weighted method determines the location of the center of the object only by one step calculation, which makes the location more accurate. The experimental results show that the algorithm of the paper is effective for detecting and tracking of a moving object in a static scene and it has a low complexity.

Abstract: An abundant semigroup is called a quasi-C* semigroup if xeyz=xyez for any x,y,z in S and e in E(S). In this article, we studied the structure of quasi-C* semigroups. By using the quasi-direct product, we prove that a semigroup S is a quasi-C* semigroup if and only if S is a quasi-direct product of a left normal band, a C-a semigroup and a right normal band. This result generalizes C-a semigroups.

Abstract: The idea of smart home has been proposed for many years. However, the heterogeneity of device and data restricts the spread of it. Otherwise, the lack of underlying formal semantics between devices impedes the reusing and sharing classification across systems. We present a concept ontology in smart home which can capture the features of domain knowledge. A system architecture of smart home based on the concept ontology is constructed.

Abstract: Smart Home is one kind of home application which becomes popular along with the development of the IOT(Internet Of Thing) technology. It will change persons’ life and realize modern home environment by advanced techniques. Embedded Internet is the product of the combination of embedded technology and Internet technology. It retains small, intelligent, programmable features in embedded devices and extends the control of local equipment to every corner of the world with the help of the Internet, the biggest computer network. Embedded Internet makes smart home remote control becomes possible, which greatly promotes the development of the application.

Abstract: A multi-feature bio-inspired model for scene image classification (MFBIM) is presented in this work; it extends the hierarchical feedforward model of the visual cortex. Firstly, each of three paths of classification uses each image property (i.e. shape, edge or color based features) independently. Then, BPNN assigns the category of an image based on the previous outputs. Experiments show that the model boosts the classification accuracy over the shape based model. Meanwhile, the proposed approach achieves a high accuracy comparable to other reported methods on publicly available color image dataset.