Applied Mechanics and Materials Vols. 220-223

Abstract: Abstract. Support vector machine is in the statistical learning theory developed on the basis of a new kind of machine learning method, field in pattern recognition in a wide range of applications. Artificial intelligence technology has been widely used in medical field. Among them, the support vector machine (SVM) technology can mass of data for feature vector extraction. ³¹P(Phosphorus-31) magnetic resonance imaging in clinical spectrum analysis, facing mass data, can use the support vector machine (SVM) of ³¹P magnetic resonance spectroscopy data modeling, used in liver disease classification of common nodules, this experiment set up three research object: hepatocellular carcinoma (HCC), liver cirrhosis and normal liver tissue. Through the kernel function based on polynomial and RBF kernel function of support vector machine classifier carries on the comparison, and get three liver classification recognition rate. Experiments show that based on ³¹P magnetic resonance spectroscopy data of support vector machine (SVM) model can be classified to living liver diagnostic forecast, so as to improve the ³¹P magnetic resonance spectroscopy on HCC diagnosis accuracy rate.

Abstract: Cloud Computing is an efficient way to resolve the resource sharing and cooperative work in distributed environments. Considering the disadvantages of traditional Scheduling method and the characteristics of Cloud Computing System, a resource discovery mechanism has been designed and implemented. Firstly, a calculation method based on each join points’ loading has been proposed, providing the Formula of method. Secondly, a comprehensive service resource distribution method has been designed and implemented in consideration of respective service resource counts, each join points’ performance and current loading distribution. Finally, the result of the experiment indicates that the scheduling system can improve the efficiency of dispatching service resource and the utilization ratio of distributed service resource on Cloud Computing System.

Abstract: With the rapid development of network technology and the multimedia technology, campus network has become an important means of teaching, research, management and access to information. However, it is difficult to manage and maintain the campus network due to its large users, many access modes, multi-network applications and high sudden network behaviors. Based on the characteristics of campus network, this paper focuses on introducing the application of VLAN technology in the construction of the campus network security and making an analysis on the scope and prospect of the technology.

Abstract: Since campus network has become the most important infrastructure for universities, the digitization, networking and informatization of campus have become the important indicator for measuring university management level and comprehensive strength. In view of the present situation for the development of digital campus, the strategies for digital campus construction and management have been put forward in this thesis so as to promote the rapid development of digital campus based on the overall understanding for digital campus construction.

Abstract: While the popularization of campus network plays an inestimable role in accelerating the information processing, making full use of excellent education resources, improving work efficiency and implementing the resources sharing, the security of campus network has become more and more prominent. This paper based on the analysis on the current situation of campus network, proposes some strategies to put the security under control. The strategies proposed have been put into application, which has improved the network management efficiency and strengthened the availability and controllability of campus network.

Abstract: The advent of programmable vector graphics on the web has major implication for web GIS. Macromedia Flash as a plug in possesses many characteristics. However, Flash is more suitable for designer not for a programmer. Especially in the temporal GIS. Furthermore, Flash takes much time to generate SWF files. Therefore, Flex is an alternative. It has better messaging infrastructure and data synchronization. The paper provides a method to display the urban change using Flex 4.6. Another attraction of the project is the use of the Web Service which link Flex to the database. The result shows that it is easy to dynamically display the urban change using Flex and Flex is easier for web applications than Flash. Other benefit of the work is the service can be used in other application or by other people.

Abstract: Large prime number generation methods in need of a more complex modular exponentiation, leading to defects of slower computing speed, Based on this genetic algorithm, proposed a new strong prime number generated algorithm. The method according to the characteristics of Strong Primes, the algorithm is simple, easy to implement to meet the needs of the RSA algorithm security , giving the method of determining the large prime numbers. Design fitness function , crossover and mutation strategies which can be used in genetic algorithm. Finally design the algorithm of producing Strong prime numbers

Abstract: With the rapid developments of computer technology and computing electromagnetism, it is possible to simulate the electromagnetic compatibility of automobiles. At the beginning of the design, electromagnetic compatibility simulation analysis of automobiles can not only shorten the research cycle, but also reduce the cost. In this paper, we summarized the current commercial electromagnetic compatibility simulation analysis software, analyzed the features and applied algorithms of each software, and gave the simulation examples of Ansoft HFSS and FEKO.

Abstract: System-level understanding, which provides specific views on the system of interest focusing both on a macro and on a micro view, has been a recurrent theme in systems biology modeling. However only little work has been done to directly support the micro-macro linking explicitly in a modeling formalism. Multi-resolution discrete event systems specification (MR-DEVS) was introduced to model biology at system-level. MR-DEVS can model upward and downward causation and adapt to represent those systems with emergence and controlling relationship between the micro level and macro level in a biological system. Moreover, MR-DEVS is closed under coupling. And so, it can also model biological process at multiply level hierarchically and modularly.

Abstract: Carotenoids play a key role in adaptation of plants to light stress and other unfavorable ecological conditions. Remote sensing of carotenoids content still not well developed due to the absorptions overlap of chlorophyll a and carotenoids in the visible spectral range. In this study, for accurate estimation of carotenoids contents, an assumption of absorption in [450, 550nm] is proposed. That is, the spectral reflectance features in this range are comprehensive effects of chlorophyll (chl) and carotenoids (car) absorption. And the effects of chlorophyll and carotenoids were multiplicative in [450, 550nm] and a new spectral index was defined. The results showed that the new spectral index was strongly related to carotenoids and could be applied as the indicator of carotenoids content.