Applied Mechanics and Materials Vol. 344

Abstract: The purpose of this study is to obtain the running situation of the network service accurately and efficiently, and then to perceive the overall security situation of the network. Simultaneity, find the potential agressire behavior and abnormal status. A service-oriented approach is presented. After establishing an evaluation index system at the network level, extracting the momentum factors, we use fuzzy AHP combining with evidence theory for real-time evaluation of network security situation to get the running situation of the network service, and then to evaluate the overall security situation of the network, identify potential attacks and network anomalies, help network policy makers take positive action and avoid to cause irreparable serious consequences. Experimental data show that the network security posture assessment results can be sensitive to changes in network status and accurately reflect the status of the network's security situation.

Abstract: With the rapid development of streaming media applications, clustered streaming media proxy servers have become the mainstream of high-end streaming media proxy. To increase the IO throughput capacity of streaming media proxy servers, the most effective method is middle-ware technology in which several servers are bridged together to form a proxy cache server cluster, and the key is the coordination of individual proxy servers. The decision problem of the user request dispatch actually belongs to NP-complete. This article proposes an online coordination algorithm for the load sharing streaming media proxy servers, and discusses the relative deviation of the online algorithm from the optimal solution, to serve as a reference to the specific applications of clustered streaming media proxy servers.

Abstract: Tunnel information construction is more and more concerned because of the uncertainty and complexity of geological body. Based on the back analysis principle of tunnel and intelligent science arithmetic, the paper self-developed tunnel information construction analysis visualization system by Visual C# platform and VTK techniques in order to the confliction between tunnel construction expending too much time and the construction period demand. Firstly introduced global optimization method-Difference Evolution (DE) Algorithm and combined it with finite element method (FEM) in order to back analyze the surrounding rock parameters. Then constructed the total software framework and developed the program of the information construction analysis intelligent visualization system. Applied the system to the Dalian Metro tunnel engineering construction and got satisfied results. The soft system developed by the paper has active meaning to promote the intelligence, visualization and automation of the tunnel construction.

Abstract: This paper studies a due-window assignment problem on a single machine. The job-dependent due-windows are obtained by the common flow allowance criterion. We assume that the processing time of a job is a linear function of its starting time and decreasing function of the resource amount assigned to it. The objective is to find the optimal size and location of the due-windows, the sequence of jobs and resource allocation scheme to minimize a cost function based on the window size and location, the earliness and tardiness of jobs and resource cost. We propose an algorithm to solve the problem.

Abstract: An intelligent approach for reactive power planning in distribution network with wind power is presented. A genetic optimization algorithm is applied in order to optimize the reactive power dispatch. The reactive power requirement for wind farm is considered as a restriction so that the active power control objective can be achieved while the real power losses are minimized. Finally, the proposed method is tested in the standard IEEE 30 node system with five wind turbines as a simulated wind farm, while considering the capability limits of wind turbine. The numerical results show that the proposed intelligent genetic algorithm can reduce real power losses effectively and improve the node voltage stability.

Abstract: The traditional CAPP system pays much attention to the intelligent generation of the parts process route or pursuit integration of CAD and CAPP and CAM, but it has exposed many shortcomings in the process management of process design and approval. In order to solve the problem of information transmission and process reengineering, this paper discusses the application of work flow technology in the CAPP system, and analyzes the process design and approval process based on Petri Nets model, and finally explains database design and realization of process workflow and the control mechanism of workflow engine based on state transition on emphases. Through the practical application, the system can greatly improve the efficiency of design and management of process, the process design is more flexible and more standardization.

Abstract: This paper studies single-machine scheduling problems with a due-window assignment under a deteriorating maintenance and time-and-resource-dependent processing times. Jobs completed within the due-window incur no penalties, other jobs incur either earliness or tardiness penalties. The maintenance activity can be scheduled immediately after any of the completed jobs. We assume that once the maintenance activity has been completed, the machine efficiency will be improved and the machine maintenance duration depends on its starting time. The objective is to find the maintenance position, the size and location of the due-window, and the sequence of jobs and resource allocation scheme to minimize a cost function based on the window size and location and the earliness and tardiness of jobs and resource. We propose an algorithm to solve the problem.

Abstract: When Multi-agent system theory is used to the research of CGF(Computer Generated Forces), making up a correct and believable model is critical. In this article, we deal with the foundation,exit and update of Agent as well as the reconfiguration of system framework of CGF aiming at the problem of model evolvement caused by many Agent in CGF system always changing and show the validity of the model using INA.