Applied Mechanics and Materials Vols. 20-23

Abstract: Direction transform; image fusion; infrared images; fusion rule; anisotropic Abstract Based on analysing the feature of infrared and the visible, this paper proposed an improved algorithm using Directionlet transform.The feature is like this: firstly, separate the color visible images to get the component images, and then make anisotropic decomposition for component images and inrared images, after analysing these images, process them according to regional energy rules ,finally incorporate the intense color to get the fused image. The simulation results shows that,this algorithm can effectively fuse infrared and the visible image, moreover, not only the fused images can maintain the environment details, but also underline the edge features, which applies to fusion with strong edges, therefore,this algorithm is of robust and convenient.

Abstract: We provide a prototype system for a distributed storage model, the goal of this system is to store information in a p2p network of n nodes, and the original information could be recovered later in a computationally simple way from (1+e)k of nodes for some small e>0. For solving this problem, we employ a class of B-J codes with dimension 2 as base code and obtain a new class of LDPC code by using q-tuples to substitute the elements of , to modify and improve Raptor code. The improved Raptor Code has many advantages such as high decoding rate, flexibility in choices of the code length and rate of. As the benefits of the above characters, the storage system based on modified Raptor code has great improvement in decoding probability and parameter flexibility, and a simulation is also illustrated to prove our assumption.

Abstract: The control system of a vision-based positioning cutting machine of cutting molding for micro chip components has been designed in this paper. The industrial computer is regarded as the control core part in order to achieve the motion control of the equipment, the image capture and other functions. In addition, in the design the visual recognition is organically combined with the precision mechanism, the precise positioning in the cutting process of the equipment and its operation stability is ensured. In this paper, the system's modularization design as well as the functions realized by each module is introduced. The cutting machine work flow chart and the hardware structure chart of control system is given.

Abstract: In this paper, a novel chaotic cultural-based particle swarm optimization algorithm (CCPSO) is proposed for constrained optimization problems by employing cultural-based particle swarm optimization (CPSO) algorithm and the notion of chaotic local search strategy. In the CCPSO, the shortcoming of cultural-based particle swarm optimization (CPSO) that it is easy to trap into local minimum be overcome, the chaotic local search strategy is introduced in the influence functions of cultural algorithm. Simulation results based on well-known constrained engineering design problems demonstrate the effectiveness, efficiency and robustness on initial populations of the proposed method.

Abstract: The emerging coding standard H.264 is mainly intended for video transmission in many areas. Considering the peculiarity of blocking artifacts which results from block based transform using DCT (discrete cosine transform ) that is most popular method for video coding. These blocking which is due to deficiency of correlation between blocks has much troublesome impact at low bit rate encoding. In this paper, we analyzed the performance of common deblocking filter within H.264 standard, investigated the principle of parameter setting for deblocking filter in an open source code(x264). The outputs of deblocking filter depend on the boundary strength parameter “BS” and the gradient of image samples across the boundary [1]. Usually the filter parameters αc and β were specified a default value zero during x264 running, but in fact selecting different values have a significant effect in the view of image quality. The two statistical parameters of Gray Level co-occurrence Matrix (GLCM), energy and entropy, were used to evaluate the texture of each video picture, and then specify appropriate values for the filter parameters αc and β. We may appraise the effect of deblocking in terms of calculating Mean Squared Difference of Slope (MSDS) for each video frame. In the end of this paper, the experimental results show that our approach, comparing with existing deblocking techniques, is one of the significant methods for reducing blocking artifacts.

Abstract: Based on fast multipole boundary element method (FM-BEM) and mixed variational inequality, a new numerical method named mixed fast multipole boundary element method (MFM-BEM) was presented in this paper for solving three-dimensional elastic-plastic contact problems. Mixed boundary integral equation (MBIE) was the foundation of MFM-BEM and obtained by mixed variational inequality. In order to adapt the requirement of fast multipole method (FMM), Taylor series expansion was used in discrete MBIE. In MFM-BEM the calculation time was significant decreased, the calculation accuracy and continuity was also improved. These merits of MFM-BEM were demonstrated in numerical examples. MFM-BEM has broad application prospects and will take an important role in solving large-scale engineering problems.

Abstract: A temperature model of the electrical heating furnace which is commonly used in industry is built by means of Elman neural network combined with an improved particle swarm optimization (IPSO). The input is duty cycle, and IPSO is used to optimize the weights and threshold values of Elman neural network to improve convergence capability and generalization performance of Elman network. Results show that the method performs better than ordinary Elman network in convergence speed and accuracy.

Abstract: The theory of the conditional value-at-risk (CVaR) in financial risk management is considered in this paper to develop a model of supply chain coordination with a wholesale pricing policy. The proposed model solves the drawbacks of objective function in current supply chain coordination model. A numerical example is given to demonstrate the effectiveness of the proposed model. The following helpful conclusions are drawn from the paper: with the increase of the degree of risk averting for supply chain individual member, the optimal order quantity of supply chain is decreasing, while the optimal profit is decreasing; If supplier’s risk averting degree increases, supplier has to increase wholesale price to achieve supply chain coordination; If retailer’s risk averting degree increases, supplier has to decrease wholesale price to achieve supply chain coordination.

Abstract: DNA sequence design is the basic and important step for DNA computing. Good codeword could avoid some error may possibly occurred in practical computing. Therefore, much work has focused on designing the DNA sequences to make the molecular computation more reliable. In this paper, a new hierarchy evolutionary searching algorithm is proposed to obtain good DNA encoding sequences, this approach is based on combinatorial constraints which affect the molecular reaction process, and can provide some reliable and effective encoding sequences for controllable DNA computing.

Abstract: Trust relationship between peers must to be established in P2P systems. But current trust models have some flaw in computing peer’s trust value, trust security and so on. This paper referred to the interpersonal social network, in which trust relationship between individuals are set up upon recommendations of other individuals, and proposed a recommendation trust model based on D-S evidence theory for P2P systems. The model deduces a peer’s local trust values from its transaction history, and then combines the peer’s local trust values by D-S combination rule and gets its global trust value finally. The experiment shows that, compared to the current trust model, the proposed model is more robust in security and more accurate in computing peer’s global trust value.