Applied Mechanics and Materials Vols. 556-562

Abstract: A framework to design the authentication property is presented in this paper. The framework designs the message structures which are used to formally express the authentication goal. These structures guarantee the authentication property. The dynamic characteristics of security property are added to the process of design through the trace-model. The design principles for avoiding the attack on the authentication property are discussed and formalized into inference rules. This method is proved to be valid.

Abstract: Summarizes several types of the Riccati equation can be used in the form of elementary integral form and its general solution. The Riccati equation through the appropriate variable substitution can be variable separable equation, to calculate the general solution to use the method of elementary integrals. Some of these methods need certain skills. With a typical example this paper introduces the basic techniques of variable substitution.

Abstract: This paper using the way of Support Vector Data Description (SVDD) and considering the tightness between the Membrane Bio-Reactor (MBR) samples, applies the Fuzzy Weighted Twin Support Vector Regression (FTSVR) to the MBR simulation prediction research. Firstly,adopt the principal component analysis (PCA) on membrane fouling factors to achieve dimension reduction and de-correlation, then put the PCA output layer as the input layer of FTSVR, flux as the output layer, eventually, the MBR Membrane Fouling Prediction Model is built. This method considers the different effects on the regression hyperplane of different MBR samples,and effectively eliminates the negative effects due to error even outliers in the process of MBR data measurement.

Abstract: We propose a new clustering method that uses a similarlity metric deived from electrical resistance networks. The proposed metric allows us to quantify the mutual relevancy between data objects or nodes. We show how to derive the metric from the data collection and how to apply it to various application contexts. Our theoretical analyses and experiments show the excellent potential of the method to identifying clusters of networks and to improving data clustering performance on a number of data sets.

Abstract: Saliency feature is the main interesting feature of the image; we can find the goals and interesting region in the image. We proposed an improved squeeze algorithm for dictionary learning to extract significant features of an image. For the Squeeze algorithm may come into "chain effect", we solve this question by restricting its expansion radius extent dynamically, then using image sparse dictionary learning and the improved algorithm based on scene perceptions to extract the significance. Through a lot of experiments comparing between the K-SVD, Squeeze, Squeeze in [11] and our algorithm, the results show that the suggested algorithm has high robustness, anti-interference ability, and high accuracy detection.

Abstract: The clutter distribution of airborne radar with non-sidelooking uniform linear array antennas varies with ranges and interference in different range gates are not independent identically distributed vectors, so the performance of statistical STAP methods degrade heavily. In this paper, the range dependency problem is studied and a clutter nonstationarity reducing method is proposed. This method involves in the pre-processing of elevation cosine based vector extending and subsequently statistical STAP technique. Simulation results show the proposed method can reduce the clutter dispersion significantly and outperform conventional compensation methods.

Abstract: In this paper, we propose a binary particle swarm optimization (BPSO) algorithm for distributed node localization in wireless sensor networks (WSNs). Each unknown node performs localization under the distance measurement from three or more neighboring anchors. The node that gets localized will be used as a reference for remaining nodes. A comparison of the performances of PSO and BPSO in terms of localization error and computation time is presented using simulations in Matlab.

Abstract: Nanotechnology is an emerging field of science devoted to provide new opportunities in a vast range of areas. The main alternative for communication in the nanoscale is molecular communication. This paper describes how the molecules travel from one point to other point in the computational environment in two different approaches. In the first approach, the ant of the artificial colony are finding the routes by consider acceleration and force of molecule arrive close with the target. On the other hand, in the second approach, the density of molecule around the target will determines the routes of ant. As the performance measures, the arrival time and the number of contacts with molecules from the target to the source are evaluated

Abstract: In ship dynamics research field, large ship moving on sea water is a hot research project of water transportation. The fluidsolid coupling dynamics model of large ship is built by using time-dependent solid dynamics theory and fluid dynamics theory of ship. The linear analysis solution formula of ship deformation is obtained from the linear fluid-solid coupling equation. The hull displacements are obtained and the maximal displacement is found when the wave-hull resonance number becomes an integer.

Abstract: A basic mathematic model of ship section added mass is important for the ship dynamics research. According to the fluid dynamics control equations, the numeric formula of added mass is derived by using Green function. The representation form of added mass is discussed on basic domain of integral function.