Applied Mechanics and Materials Vols. 220-223

Abstract: Product service system is a bundle of products and services. For higher customer satisfaction, product service systems have to be configurated to lead to desired customer perceptions. And it is necessary for configuration to discover the mapping relationship which is normally characterized by imprecision, uncertainty and non-linearity, from product service systems to customer perceptions. This paper proposes an approach based on dominance relation rough set to extract configuration knowledge considering customer perceptions. Loadometer product service system is used as a case to validate the proposed approach, and the results gain from the case show that the approach is effective.

Abstract: In this paper, ID3 Algorithm in Decision Tree is introduced and used to sort computer operation achievement, give useful information to students and teachers.

Abstract: Considering such characteristics of the network system as nonlinearity, multivariate, and time variation, proposes a new improved Elman neural network model ------SIMF Elman. Seasonal periodicity learning methods are introduced into the learning process of the model. Chaotic search mechanism is introduced in the training process of the network weights. This new model uses the ergodicity of the Tent mapping to optimize the search of chaos variables, reducing data redundancy, and providing effective solution to the local convergence problem. Experimental tests of backbone network egress traffic of a certain university are conducted. The experimental results show that the new model and new algorithms can improve the network training speed and prediction accuracy of network traffic.

Abstract: Now many television operators are providing subscribers with more and more value-added service. When people use these services they will have the risk of leaking personal information, such as the watching habit, the privacy problem has become a hot topic to the public. This paper proposes a scheme of CAS anonymous authentication in two-way network, and the scheme uses group signatures based on the elliptic curve. It meets both efficient authentication and transaction tracking needs, and can also protect user's privacy in a certain extent.

Abstract: Along with the “digital Land” was put forward and the extensive application of the network technology, it brings profound influence to land information production and daily management work. This paper expounds a number of key technical problems and solutions in the establishment of land information management system with workflow, including system structure, history data management, GIS and OA integration and workflow issues. Combined with the characteristics of land information management system, this paper uses the component development method to realize land information management system with the integration of GIS and OA.

Abstract: This paper combines the global optimization ability of the symbiotic parallel genetic algorithm and the local optimization ability of the improved LMBP algorithm to research,proposes an neural network structure optimization symbiotic parallel genetic algorithm and to testify the correctness and validity of this algorithm by the simulation experiments. This algorithm realizes unequal length coding, large probability cross, small probability variation, cross and variation between sub-populations, information exchanging between sub-populations etc, and successful implements the optimization of neural network structure. The experimental results shows that this algorithm having reliable performance, searching a large space, be able to find the feasible solution within the specified generalization and approximation error range.

Abstract: This paper combines the software developing method with the object_oriented technology, uses the object_oriented technology to abstract objects for the information system. And the attribute, method, relationship of Object_Oriented Data Model have been described. The object_oriented data model is more compatibly with real world. And the information system base on object_oriented data model is propitious to be maitained and understood.

Abstract: In this paper, we present a modified seventh-order convergent Newton-type method for solving nonlinear equations. It is free from second derivatives, and requires three evaluations of the functions and two evaluations of derivatives at each step. Therefore the efficiency index of the presented method is 1.47577 which is better than that of classical Newton’s method 1.41421. Some numerical results demonstrate the efficiency and performance of the presented method.

Abstract: In DHT based P2P systems, various issues such as peer heterogeneity,network topology, and diverse file popularity, may affect the DHT system efficiency. A new load balance algorithm, static load distribution algorithm and dynamic load adjustment algorithm (SDDA) is proposed, SDDA is designed based on the concept of virtual server, The new algorithm can dynamically adjusts Address-Space and fairness workload for each node after measured it’s capacity. Through research and simulation analysis, compared with the traditional virtual server load balancing algorithm, the SDDA algorithm is with better load balance, faster velocity of load balancing, less load movement cost, and more excellent stability of P2P system.

Abstract: In this paper, we present a modified sixth order convergent Newton-type method for solving nonlinear equations. It is free from second derivatives, and requires three evaluations of the functions and two evaluations of derivatives per iteration. Hence the efficiency index of the presented method is 1.43097 which is better than that of classical Newton’s method 1.41421. Several results are given to illustrate the advantage and efficiency the algorithm.