Advanced Materials Research Vol. 1078

Abstract: In cloud computing, we have requested and used many resources from cloud vendors. Even though, hypervisor is a controller between hardware level applications and user application, Hypervisor will not provide the security for running huge user applications on guest platforms. As a customer perspective cloud is the domain which will offer numerous resources. But in cloud, when the users are running various process/applications on guest OS hypervisor will give the controlling notes or components, system configure and adaptation tools only. However, hypervisor will not have a focal point about security and need to be concerned about the possible factors for an applications which are consecutively perform on the guest OS . It doesn’t care about the end users security facts. This paper proposes an efficient security mechanism for hypervisor control to be developed / performed to improve the security aspects while application is running on virtual machine.

Abstract: The ultimate goal of quantum calculation is to build high performance practical quantum computers. With quantum mechanics model of computer information coding and computational principle, it is proved in theory to be able to simulate the classical computer is currently completely, and with more classical computer, quantum computation is one of the most popular fields in physics research in recent ten years, has formed a set of quantum physics, mathematics. This paper to electronic spin doped fullerene quantum aided calculation scheme, we through the comprehensive use of logic based network and based on the overall control of the two kinds of quantum computing model, solve the addressing problem of nuclear spin, avoids the technical difficulties of pre-existing. We expect the final realization of the quantum computer will depend on the integrated use of in a variety of quantum computing model and physical realization system, and our primary work shows this feature..

Abstract: job shop scheduling is one of the most difficult NP-hard combinatorial optimize problems, in order to solve this problem, an improved Genetic Algorithm with three- dimensional coded model was put forward in this paper. In this model, the gene was coded with 3-D space, and self-adapting plot was drawn into conventional GA, then the probability of crossover and mutation can automatic adjust by fit degree. The instance shows that this algorithmic is effective to solve job shop scheduling problem.

Abstract: Genetic algorithms are optimum algorithms which depend little on questions and are able to find global optimum.In order to implement the synthesis of musical instrument tones and modify its results,this paper proposes to use genetic algorithms to find and optimize the parameters of discrete summation synthesis.Finally,the synthesis result of Erhu instrument tones is given out in comparison with other methods.

Abstract: Particle swarm optimization objective is spatial neighborhood directly in the search space according to the distance between particles. This paper analyses method of detection and node management in wireless sensor networks. Sensor nodes are randomly placed in the particle swarm optimization method, data acquisition, processing and transmission of the work. The paper presents using particle swarm optimization algorithm to construction detection and node management system in wireless sensor network. Simulation experiments show the validity of this method.

Abstract: The data processing is the important link in the process of various engineering testing and experiment. The theory and method of the data processing are correct will directly affect the accuracy of the efficiency of testing and conclusions. This paper introduces the software written in LaBVIEW to read the data acquisition system. The data of the motorcycle ignition advance Angle and fuel injection advance Angle signal data were collected by MP424 then waveform synthesis, stratified by LaBVIEW processed directly calculate the eigenvalues of the test data, and directly displayed in the chart..It to process collected data provides a new method, this method simplifies the process of data analysis, improve the efficiency of test.

Abstract: Data processing is applied in many fields. Here the author has also discussed it in mathematical modeling. In addition, innovation is a frequently used word in recent years, and the role of mathematical modeling activities and research-oriented learning in training of students’ innovation ability shouldn’t be overlooked. The author of this paper discusses data processing for the internal relation between them with mathematical modeling case being the carrier. This is a question of optimization. Specifically, the optimal design of a zip-top can should realize the minimum total volume of material used for producing it under the premise that volume of the can is fixed.

Abstract: With the constant development of computer network technology, more and more enterprises have built their own data center in their networks, through which offers a variety of network applications and services. The increasing business volumes and rich types, as well as the amount and scale of data call for higher requirements in management and maintenance. Thus the traditional data center model can’t meet the demand obviously.

Abstract: As a barometer of the macroeconomic of a country and an important part of the capital market, stock market has attracted increasing and highlighted attention. As is well-known, Chinese stock market is known as 'policy market', however, the issue about whether the stock market is really influenced by these policies is always an important and hot topic. In this paper, by using generalized data envelopment analysis, an analysis on the effect of the new policies carried out in May 2012 is provided based on closing price, Tobin Q, circulation market value, turnover rate, and return on assets. Based on the above results, it can show the effect of stock market policies on Chinese Economy.

Abstract: In recent years, the development of digital libraries also encountered a lot of problems, the cloud computing was applied to digital libraries can solve the problem of information on demand and optimal scheduling of resources and transaction processing capabilities effectively, So as to achieve the purpose of improving the efficiency of resource of digital library and information security. From the digital library of cloud computing and personalized information services status in this paper, the study and found a problem about the digital library information services at this stage, let the virtualization cloud computing, the key technology of distributed data storage, massive data processing and cloud platforms used in building digital library of personalized information service with cloud platform, and deployment cloud services on the platform.