Applied Mechanics and Materials Vols. 644-650

Abstract: In order to raise the rifle grenade accuracy of firing and strengthen infantry to the future applicability of modern warfare, this paper has been in progress to application on the rifle grenade of one-dimensional the trajectory correction technology. The position in the modern war of rifle grenade with the effect was pointed out in this paper. From now available one ties up the trajectory correction technology to set out, and several kinds of ballistic trajectory identification knowing the feasibility that the method was applied on the rifle grenade comparative analysis, and the trajectory identification based on sequence of velocity-time was done simply the introduction. Possess the guidance meaning to follow-up one dimension the application study on the rifle grenade of trajectory correction technology.

Abstract: With the higher requirement for clock accuracy in power system, the accuracy and stability of wild area punctuality in GPS cannot meet the demands of the high–precision measuring instruments in power system. Firstly, this paper establishes the mathematical model of crystal oscillator clock error using polynomial fitting method. Then, it estimates the parameters of polynomial model with generalized least squares method. Thirdly, it updates the error-model of crystal oscillator clock dynamically for modifying its predicted error. The result shows, this method can not only predict accurate time error, but also filter out random errors well in GPS.

Abstract: The combination problem of complex event model is an important problem in complex event study. Aiming to solve the problem of no well reflecting the spatial-temporal characteristic in current comeplex even models, which are combined by atomic events based on time or space or time and space, a multi-tuple combination method of complex event model based on object, time, space, events and properties is proposed in this paper based on the analysis in existing complex event model.The basic idea of the method is to make use of intrinsic relation existing in multi tuple of event model to combine and express complex event. At a result, our supposed model not only can more comprehensively reflect the spatial-temporal characteristic of event, but also can reflect some dynamic change conditions occurred in the event. Smart home temperature and humidity detection as a case and experimental simulation are used to illustrate and prove the correctness and feasibility of the proposed complex event method based on multiple tuple.

Abstract: Traditional fast algorithms for DCT are aimed at sequences with 2^N length and it is math-intensive for sequences which contain odd numbers of elements. This paper analyzes the redundant calculation of cosine transform of non-2^N-point sequences and put forward a fast algorithm for one-dimensional DCT with odd length. Also, according to the separability of two-dimensional DCT, we can generalize the fast algorithm for one-dimensional DCT to two-dimensional DCT to implement and complete the fast algorithm. The simulation suggests that this algorithm improves the speed of calculation.

Abstract: A grey prediction model based on Free Searching (FS) () is proposed in this paper. Firstly, FS is applied to optimize the parameters of the model. The convergence of the FS algorithm is proved in order to show the reasonable of optimization with FS. Then, we give the factors which affect the precision of the prediction by analyzing the model. Based on this, the initial array is transformed. Finally, we predict several times used model and obtain the average of the prediction results’ combination. The experimental results show that the model is feasible, reasonable and effective.

Abstract: This paper discusses the origins of image distortions in the axial offset parallel video system and how to improve viewing comfort. The types and characteristics of image distortions in some stereoscopic video systems are presented first. The geometry equations of stereoscopic camera and display systems are deduced then. The typical distortions in the axial offset parallel video system can be got and the key factors of image distortions can be found out by the analysis on these equations. These distortions include depth non-linearity, puppet theater effect and cardboard effect, shearing distortion. The simulation software is programmed for verification and analysis of above distortions, which are plotted by the variation of system parameters.

Abstract: By using the energy equation method, the existence of global attractors for the 2D g-Navier-Stokes flows with linear dampness on some unbounded domains were investigated without the restrictionof the forcing term belonging to some weighted Sobolev space.

Abstract: A New hybrid intelligent algorithm is used to solve the resources scheduling problem. This new algorithm contains Adaptive Particle Swarm Optimization (APSO) algorithm and Modified Genetic Algorithm (MGA) and Machine Learning (ML) algorithm, MGA is used to realize global searching, APSO is used to get the local searching. The choose processing depend on the definite of information in ant algorithm. Machine learning principle was proposed, after some iteration, the part of the optimal solution was deserved. Then we search the optimal solution in each layer. Simulational results based on the well-known benchmark suites in the literature showed that the algorithm had better optimization performance.

Abstract: A concept for the optimization of nonlinear functions using particle swarm methodology is introduced. The evolution of several paradigms is outlined, and an implementation of one of the paradigms is discussed. Using g¢/g ordered from a passage in the interface of the atom spread to another channel to analyze g raft form of fancies of ordered the width of the matrix channel with changes, thinks a photograph of the raft form at high temperatures of element diffusion occur. The relationships between particle swarm optimization and both artificial life and genitive algorithms are described. But the high temperature pull/pressure creep during different orientations of g¢ phase happen, the rate of different raft form reason and in different orientations of single crystal alloy phase during the microstructure evolution ordered g solute elements of the directional migration patterns are still unclear.

Abstract: Heat-moisture comfort of the fabric is an important part to judge its performance. The research of heat-moisture is a frontier topic in the field of modern textile technology, increasingly brought to the attention of the national textile field researchers and become a hot issue worldwide.This topic research personnel, in the use of multiple regression analysis method to establish the fabric heat transfer law of mathematical model, using the method of unified goal of thermal and moisture comfortable building fabric performance comprehensive evaluation system, based on the thermal wet comfort properties of fabrics parameters optimization research. In establishing the evaluation system of fabric heat-moisture comfort performance, mathematical knowledge-based on Matlab software is a tool to solve practical problems. Heat-moisture transfer fabric and strive to build a mathematical model of the law, as well as comprehensive evaluation system of heat-moisture comfort performance, providing an important reference for technical textile enterprises to develop new products, enhance and improve the performance of the heat and moisture comfort of fabric.