Advanced Materials Research Vols. 268-270

Abstract: The multitude of operations over IFS is barely studied empirically. At the other hand they are quite complex and their properties are studied just theoretically. The IFDW that was developed was used to demonstrate the application of some operations over IFSs. It could serve as a basis for implementation of other IFS operations and the data gathered – to explore empirically the validity of the theoretical concepts.

Abstract: Aiming at face Tri-networks integration demand bearing network/core backbone, carry out research of security control technical structure , key technologies and standards systematic In Tri-networks integration environment, to Build a safer control system that includes Facing the Tri-networks integration of business, network, content, behavior, etc. Research oriented business level controls and abnormal behavior of preventing high-speed low delay safety control equipment, builds the control center system, realize the legality of different modal information content safety monitoring control, network security situation analysis and display, control strategy of unified management and dynamic maintenance, and other functions. validation the functions and performance of security control network system, argumentation the feasibility and evolution ability of the fusion network security control system structure.

Abstract: Prediction of Lorenz Chaotic Time Series is a vital problem in nonlinear dynamics .Support vector machine (SVM) is a kind of novel machine learning methods based on statistical learning theory, which have been provided an efficient algorithm thought in prediction of Chaotic Time Series. This paper combined SVM with neural network which based on the similarity of structure between SVM and RBF Networks, using SVM to obtain the centers of RBF Networks, then to predict the Lorenz Chaotic Time Series. Simulation results show that the effect is better than other methods.

Abstract: For a second-order elliptic boundary value problem in three dimensions, we use an interpolation postprocessing technique to obtain recovered gradients of tri- linear elements over regular meshes. Further, superconvergence of these gradients are proved.

Abstract: Multicast routing technology with its advantage of saving bandwidth, has received a great deal interest in QoS of multimedia network. PIM-SM is currently the preferred intra-domain multicast routing protocol. Based on OPNET simulation environment, the models of Real-time and Non-real-time multimedia services are respectively established with PIM-SM in wire network and in wireless network. By comparing unicast routing with PIM-SM on delay, jitter and loss ratio, the results show the advantage of multicast routing on improving the different multimedia services.

Abstract: In this paper, we present an interactive search system of cartoon scène images. Using a set of automatically extracted, semantic cartoon scene images’ attributes (such as category, time and pureness), the user can find a desired cartoon scene image, such as “a pure sky at sunset”. The system is fully automatic and scalable. It computes all cartoon scene images’ attributes offline, and then provides an interactive online search engine. Furthermore, the system contains different kinds of retrieval interface designs which aimed at users. The results show that our system can improve the facility and efficiency greatly.

Abstract: This paper gives the design process of road simulator. Road simulator for car is an important way to demonstrate the capability and reliability. Hydraulic servo system is applied in this system to afford energy and movement. Kinematics design is done to obtain the stroke of cylinder. The simulation demonstrates the accuracy of this method.

Abstract: How to combine multi-modal features effectively is a difficult problem in news story correlation analysis, this paper puts forward a new two-stage fusion approach based on visual and textual features fusion to solve this problem. First we use a co-clustering method to get the clustering groups of similar stories with the visual and semantic information of news story. And then, on the base of the result of the first step, we use different weighted strategies to analyze the news story correlation in a further way, which aim at the different type of news story. The methods can get a better result of the news story correlation analysis by experiments.

Abstract: The purpose of set java language in private college is to train students to use the Java program for software development capability. In this paper, private colleges teaching Java programming status and problems are analyzed and discussed, and some improvements in order to achieve the effect of improving teaching quality.

Abstract: Based on Cloud Transform and Noclassical Relation Database Theory,the Paper Define Cloud Relation Model and Discuss the Significance of Cloud Relation Model.At the same Time ,based on Cloud Relation Model,the Paper Ameliorate the Way of Qualitative Estimate about Student Scores，conquer the Subjective Factor and Presents the Objective Way of Qualitative Estimate about Students .The Examples Prove the Way Is Feasible.