Advanced Materials Research Vols. 712-715

Abstract: As the test system grows in size and the testers change, the management and maintenance of the huge test systems have become more and more difficult. Therefore the reverse engineering based on TTCN-3 test systems can help testers grasp the system design from higher levels, and can test the consistence between test design and test implementation, which is of great significance and important value for test system maintenance, expansion and evaluation. This thesis presents the reverse model recovery for the legacy code developed by TTCN-3. It can also help tester and maintainers to verify the test implement. Then the test system meta-model is designed. This thesis also introduced the technologies of the discovery of invocation model and data model based on the reverse model discovery system framework. Finally, the algorithms of extracting invocation model and partitioning data model are described.

Abstract: The current situation of the connecting rod cracking technology development is introduced. The connecting rod cracking production line was established on the basis of the actual connecting rod cracking production data. The equipments were selected by the AHP, and production layout is realized by the SLP. The three-dimensional modeling, logistics analysis and WITNESS simulation analysis are also realized in the paper. Virtualization production is formed on the computer platform. At last, the optimal scheme is achieved. With language of VB6.0, computer aided layout system was developed. Its framework and function were also introduced briefly. The analysis report is obtained to provide data support for the optimization and help enterprises save the costs, improve the production capacity and obtain good economic profit.

Abstract: In order to solve the problems of failing to record, query, count and manage the production process data caused by the domestic industrial furnace industry configuration interface only focusing on the real-time data and status monitoring and control of the input parameters, this paper introduces an industrial furnace data management system based on WinCC user archive, and describes the systems principle, process and characteristics applications. This paper makes use of an industrial furnace data management system based on WinCC user archive to record the production process data, and query, count, manage and obtain the temperature curve, and help to improve production efficiency and production quality control, which have some promotional value.

Abstract: In order to highlight small fluctuation characteristics of the mutation evolution, this paper by adding periodic function, and use the actual data fitting Internet with Ark to obtain the new attachment to improve PFP model priority set point formula. Simulation results show that the model not only keeps power law, but also better reflects small fluctuation characteristics of the Internet AS-level topology. The dynamic modeling algorithm can reconfigure the evolution of the Internet.

Abstract: With the development of manufacturing globalization, cloud manufacturing is becoming a hotspot of network manufacturing. In cloud manufacturing, how to response to users services demands fast and accurately is an important indicator to evaluate the performance of this system. To achieve a cloud manufacturing platform for industry manufacturing system, this paper proposes service-oriented platform architecture based on semantic. Also, to realize the manufacturing resource data virtualization, the semantic description of manufacturing cloud and the combined manufacturing ontology is established. To fulfill the requirements of providing the fit cloud service or service combination, a cloud manufacturing service discovery model is investigated on focus, the organic decomposition and combination of manufacturing cloud is completed by ontology reasoning, and intelligent search and automatic matching of manufacturing cloud is realized.

Abstract: With the advent of new technologies the development of SIS (supervisory information system) is expanding by leaps and bounds, and SIS function discussion gradually in-depth with a batch of large power plants are put into operation. The establishment of SIS can provide a lot of advantages in terms of control, data viewing and management. Along with the advantages, the correct selection of the proper scheme from wide variety of SIS designs and standards represents an important issue. For the reason the function of the SIS, network architecture and the design are discussed, according to application examples and some related SIS design standards and principles. In addition, the paper puts forwards SIS function development trend and gives a brief description of database according to the cases from power plants. The goal of the paper is to make power system flexible, reliable and minimize management cost. The paper provides some references for research and engineering application of a power plant SIS construction in future.

Abstract: Aiming at the characteristics of data stream, the paper presents an incremental decision tree algorithm based on binary-attribute tree on the basis of SPRINT algorithm. The attribute set of this improved algorithm adopts the maximum entropy attribute classification and dynamic storage method of Bayesian method. By using this improved algorithm, static organization form of candidate attributes set for traditional SPRINT algorithm has been changed and it is much more suitable for concept drift and reduces the time complexity for new sampling insertion and best division node selection as well as saves storage space and increases classification efficiency.

Abstract: The cloud environment capitalizes on the built-in redundancy of the large number of servers that make them up by enabling high levels of availability and reliability for applications. In this paper, we address the availability problem of the heterogeneous distributed clusters in the cloud and propose an availability allocation model with the goal of maximizing the system reliability. The allocation model involves three kinds of services according to the coupling classification. And the availability analysis scheme is designed for each coupling type. Besides, the prior knowledge of all the server availability value is imported to simplify the service disposal and achieve an optimal solution in a short time. The experiments show that this algorithm finds a good initial solution for availability allocation problem.

Abstract: Personalization information retrieval is very useful in information retrieval system, the user profile can be used to represent the favorites or interests of user. This paper introduces how to automatically learn user interests, build user profiles and re-rank search results.A topic directory method is proposed to calculate the semantic similarity, which takes multi-inheritance into consideration, and then optimize the computing process based on the tree structure of inheritance relationship. Experiments are conducted to compare our method with the popular directory based search methods (e.g., Google Directory Search). Experimental results show that the proposed method in this paper can effectively capture personalization and improve the accuracy of personalized search over existing approaches.

Abstract: Large-scale switched networks based on hierarchical architecture put forward higher requirements for the quality of service. This paper analyzes the advantages, disadvantages and the application environment of the traditional QoS architecture based on business according to the second layer and the third layer of the OSI reference model. Then a complementary strategy model integrating Differentiated service model with Integrated service model is designed to enhance the QoS of a large-scale switched network. Simulation results prove that the model can improve the networks QoS in many aspects such as transmission delay, packet loss rate, delay jitter and network throughput.