Applied Mechanics and Materials Vols. 20-23

Abstract: The particle swarm optimization (PSO) algorithm is a new population search strategy, which has exhibited good performance through well-known numerical test problems. However, it is easy to trap into local optimum because the population diversity becomes worse during the evolution. In order to overcome the shortcoming of the PSO, this paper proposes an improved PSO based on the symmetry distribution of the particle space position. From the research of particle movement in high dimensional space, we can see: the more symmetric of the particle distribution, the bigger probability can the algorithm be during converging to the global optimization solution. A novel population diversity function is put forward and an adjustment algorithm is put into the basic PSO. The steps of the proposed algorithm are given in detail. With two typical benchmark functions, the experimental results show the improved PSO has better convergence precision than the basic PSO.

Abstract: The hydraulic model of the impeller and points of its vane surface given in the cylindrical coordinates, we can not directly use those data to accomplish the 3D solid modeling of the impeller in CAD systems. Based the Access and the UG NX, this paper puts forwards a new method for modeling centrifugal pump impeller vanes and presents the implementing procedure. And the method includes the following steps: 1) defining the data structure of hydraulic models; 2)converting the vane surface data from the cylindrical coordinate system to the cartesian coordinate system; 3)constructing the vane’s working surface and back surface along the axial transversals; 4) accomplishing the impeller’s 3D solid model by UG NX Second Development. The practical application demonstrates that the proposed method can shorten the cycle of impeller modeling and improve the design precision.

Abstract: Mulit-agent system[MAS] research on learning has been in the area of negotiation, and learning strategies of other agents.This paper presents an agent learning approach in multi-agent system based on Bayesian learning, it researches to develop agents that learn free-text queries and keyword searches in MAS. The MAS learns to identify an appropriate agent to answer free-text and natural language queries as well as keyword searches submitted by users. The paper describes how Bayesian learning is implemented in MAS, and analyzes the effectiveness of MAS learning based on the Bayesian learning approach by analyzing the accuracy and degree of learning.

Abstract: For fitting of ordered plane data by B-spline curve with the least squares, the genetic algorithm is generally used, accompanying the optimization on both the data parameter values and the knots to result in good robust, but easy to fall into local optimum, and without improved fitting precision by increasing the control points of the curve. So what we have done are: combining the particle swarm optimization algorithm into the B-spline curve fitting, taking full advantage of the distribution characteristic for the data, associating the data parameters with the knots, coding simultaneously the ordered data parameter and the number of the control points of the B-spline curve, proposing a new fitness function, dynamically adjusting the number of the control points for the B-spline curve. Experiments show the proposed particle swarm optimization method is able to adaptively reach the optimum curve much faster with much better accuracy accompanied less control points and less evolution times than the genetic algorithm.

Abstract: For problem of heterogeneous system integration, Service-oriented component of integration model is proposed and the integration framework of component-based is constructed in this paper,which is based on research service component and integrated structure of SOA. The structure of service components is Designed,and analysis its working principle. WEB service and description criterion of registered for system is defined. Paper further study the key technical of heterogeneous information integration and mapping model. Finaly, with examples no heterogeneous systems integrate framework of service component is designed and implemented.

Abstract: This document puts forward a new method for solving the modeling of overground and underground entities and spatial analysis provided by the virtual reality technology (VR). The new method can construct virtual urban geological environment, realize the integrated modeling of overground and underground entities, and research the interactive functions such as 2D-digital map navigation and spatial query in the virtual environment, which provides the decision making platform of three-dimension visualization for urban planning, urban construction and urban management, and is a good foundation for construction of “the management and service systems for urban geological information”.

Abstract: Due to different atmospheric conditions, seasonal changes in vegetation characteristics and other reasons, the remote sensing images captured at different time may be quite different in color, brightness and so on. In this paper, coupled with statistics classification, three common orthogonal space transformations were used to calibrate the color difference respectively. Compared with conventional methods such as the overlapping region correction and histogram matching, the results show that orthogonal transform could achieve better correction effects. The lαβ transform gets the best corrected result among three orthogonal space transform methods.

Abstract: The importance of information security in e-commerce is expatiated. In response to these problems, a digital signature approach based on the PKI is presented with digital signature technology. An approach for digital signature based on PKI is designed and realized. This approach is very convenient and simple, moreover, it is visual, and the operator needn’t have any special knowledge of digital signature.

Abstract: Technology Evolutionary Process have own rule and model,it can be forcasted. How to predict the future technological development and quickly develop next-generation products has become a powerful weapon of market competition. TRIZ EvolutionTheory is one of the most advantages and vitality in almost product technology prediction theory. This article summarized the evolution mode and evolution route based on in-depth study of TRIZ evolution theory ,and researched correlation.At last this article introduced how to use the basic principles of evolutionary theory to solve practical problems of the process approach. And to farming with the plow as an example a typical product design, to have been verified.

Abstract: Function design is an important method for high-level innovation, and it is important for corporations to forecast product evolution rapidly and effectively from function angle. Three laws of function organization and eight laws of function improvement are presented to discover radically appearance of new functions and improvement of existing functions. The directions of function evolution are confirmed by function forecasting, and the function evolutionary path is described by function evolution tree. The rationality is evaluated by degree of ideality. The product innovation process model based on function evolution is proposed by integrating the above contents, which provides a systematic approach to product innovation from functional design angle. A design example for innovation of Chinese medicine demonstrates the proposed method is feasible.