Applied Mechanics and Materials Vols. 20-23

Abstract: A global stability analysis for multimedia systems is given by means of the method of Liapunov functional.

Abstract: Currently there is such an increasing interest in discovering important patterns from graph data. A significant number of applications require effective and efficient manipulation of graph mining, such as being: (i) analysis of microarray data in bioinformatics, (ii) pattern discovery in a large graph representing a social network, (iii) analysis of transportation networks, (iv) community discovery in Web data. This paper concerned with subgraph discovery from weighted graph data that came from the educational context. The non-linear correlation technology was introduced and used in the mining process in the whole knowledge achieved. At last we have applied these methods in real course management datasets and found correspondent results for the educators.

Abstract: Accurately locating mathematical formulas in scientific documents is the basis of their recognition. The existing formula extraction methods mostly aim at the documents in one language, which is inadaptable to the documents in other languages. This paper describes an improved method to extract formulas not only in Chinese but also in English documents. First, using run-number as the features to distinguish the documents’ language; and then according to the difference between Chinese and English documents, corresponding features and parameters are chosen for the formula extraction. The experimental results show that this method can improve the robustness of formula extraction.

Abstract: A stability result of multimedia Systems is given by means of the analysis and computing method.

Abstract: The accuracy of SVM in fermentation process is mainly impacted by two factors input variable selection and parameter setting in SVM training procedures. In this paper, a novel method is proposed to solve the problem． The selection problem of SVM parameters and input variables is considered as a compound optimization problem. A new compound optimal objective function based on Akaike information criterion is constructed. In this paper, we propose a new method of soft sensor constructed with generalized support vector machine for microbiological fermentation. Experiment results demonstrate this method is an effective approach for parameter selection and input variable selection and has good performance for soft sensor modeling in microorganism fermentation process.

Abstract: To improve the poor efficiency in path planning that caused by not taking RoboCup’s stamina, character, dynamic starting point, dynamic endpoint and other factors into consideration in the path planning process, the RoboCup path planning is generalized as a multi-objective optimization problem in the paper, and proposes RoboCup’s sport model with dynamic multi-objective path planning which is based on RoboCup’s stamina triple model, and a path planning algorithm that is suited for RoboCup is advanced based on PFNPGA ( Penalty Function Niche Pareto Genetic Algorithm）. The experiment in a real environment shows that, by comparing with traditional path planning methods, the algorithm in the paper can get more reasonable path at the premise of guarantee RoboCup have relative high stamina values.

Abstract: In order to research the effect of metal flow between web and flange, the concept of extension coefficient used to judge the deformation degree for rolling H-beam, through the method of changing the extension coefficient, the finite element model was established by the platform of CAD software. Defining boundary conditions, geometric properties and contact situation, and input initial conditions based on the model. It can gain the displacement cloud map and displacement curves of the model by computer simulation. Based on the simulation results, studying the effects of different extension coefficient on metal flowing between flange and web, as well as the qualitative relations of extension coefficient between flange and web. The results showed that with the enlargement of extension coefficient, the metal flowing between web and flange would be more obvious, while the definite feature relation between web and flange can get better effects with the condition that the extension coefficient of flange is large than that of the web.

Abstract: The virtual manufacturing technology is one of advanced techniques of manufacture which appears in recent years, is the enterprise taking the information integration as the foundation one kind of new manufacture philosophy. This article on virtual aspects and so on technique of manufacture definition, research content, characteristic, domestic and foreign virtual manufacturing technology application and development, virtual manufacturing technology development forecast has carried on the summary, hoped has the understanding to the virtual manufacturing technology, has the contribution to its development.

Abstract: Because but the artificial neural networks has the strong non-linear problem handling ability also the fault tolerance strong obtains the widespread application in the materials science.This article to its material design, the material preparation craft optimizes, the plastic processing, the heat treatment, the compound materials, corrode, domain and so on casting applications have carried on the discussion.

Abstract: As a new breed of enterprise services that have spawned from the Internet to also include metropolitan 3G, WiFi, and WiMAX networks today, cross-platform communication system is widely studied and deployed. At the same time, the performance and the security of cross-platform communication system are becoming the focus. In this paper, we present two authentication and key agreement protocols in our 3G-Internet-Wi-Fi cross-platform communication system, one based on pre-set password and one on certificate. They provide a foundation for the total solution of the system along with corresponding protocols of 3G and Wi-Fi.