Advanced Materials Research Vols. 760-762

Abstract: Using the geophysical field data matching navigation could improve the concealment of the underwater vehicle, and it is also an important navigation technology in the future. Using the database to save the navigation data not only could overcome the drawbacks when using the files to storage the data but also integrated the different database together. The QNX Database is used to be the database management system (DBMS) of the INS/Database matching navigation system. According to the needs of the INS/Database matching navigation system and the relationship of the geophysical field data, the structure of geophysical field data database is designed and implemented. The result shows that the DBMS has well real-time performance, reliability and scalability. It meets the requirements of the DBMS.

Abstract: IPv6 has huge address space, while 128 bit IPv6 address is divided into two parts, namely the address prefix and the interface address. IPv6 provides a wide range of security policies for Internet of Things safety system. The security of the Internet of Things applications interface IPv6 address can be used to identify the node. This paper proposes construction security architecture of the Internet of Things based on IPv6 technology. In the allocation of the state address safety issues and mobile IPv6 binding buffer security update issues, are able to meet the security needs of the Internet of Things.

Abstract: English and Chinese translation is an essential part in language teaching. Automatic translation is the focus of language research. In this thesis, we analyze the traditional translation system and the intelligent translation system, coming up with the working model. Then we discuss the different granularity in English and Chinese translation and its influence on translation, and propose sentence construction model and Chinese and English translation model. Through the analysis, the advantages of the auto translation based on phrases are shown. Then, on the purpose of assisting English language teaching, automatic translation framework with mixed strategy based on phrase collecting, judgment, statistics and functional words connection, is worked out. The framework includes building up translation knowledge database by analyzing the translation documents resources, identifying phrase and sentence models, and automatic translating based on the knowledge database.

Abstract: This paper presents a dynamic simulation, using Gauss plume model and through component-based software development under ArcGIS Engine, of poisonous gas diffusion after an earthquake. Given certain meteorological condition, topography, and time interval, the simulation provides a satisfactory prediction about the locations and damage ranges of the diffusion process, and, therefore, helps the rescuers make emergency plans which could reduce disaster losses.

Abstract: In process mining research, process discovery techniques can produce or rebuild models with the information from logs. There are already algorithms supporting control-flow perspective mining which focus on the order of events and provide understanding workflow paths. But few of them take time perspective and path selection probabilities into consideration, which are important in performance evaluating, delay prediction, decision making, as well as process redesigning and optimizing. This paper provides a novel algorithm which determines the information of time perspective and selection probabilities from a log and integrates them with the control-flow perspective. By applying this algorithm, a stochastic Petri net is provided which is useful in performance analyzing and process optimizing.

Abstract: An explicit process model is vital in business processes. However, it is complicated and time consuming to create a workflow design. Also discords usually occur between the perceived management processes and the actual workflow processes. Under this condition, the process discovery techniques emerge. The aim is to rebuild a workflow model (e.g. a Petri net) of a business process based on the execution log. The model should give an abstract representation of the system and reproduce the log. This model can be further applied for process redesign/improvement and performance/reliability evaluation. In this paper, we present a new algorithm derived from α-algorithm for process discovery in term of Petri nets, where statistic long distance causal relationship is taken into consideration. Also this algorithm covers some shortages in α-algorithm.

Abstract: Long-term scientific research and production practice show that there are rules to follow in mining influence, but the amount of measurement data collation and analysis not only cost of manpower, material resources, and calculation is very prone to error. Computer to replace manual calculation, not only convenient, quick, efficient, and adopts automatic generation technology by drawing graphs, is unattainable by manual technology. Mine land reclamation in mining subsidence is expected to software research for mining design, mining area coal mine district design, land compensation, land reclamation and comprehensive utilization technology work provides a scientific basis, promote the process of security coal pillar mining, ensures the mine in each work smoothly, improve the economic benefit of mine, to the national economy and the sustainable development of coal industry itself has important significance.

Abstract: In this paper, we introduce the accelerated image compression method to reduce memory and bandwidth cost by factoring repeated content within images. Since the compression procedure costs much time to search for the similar regions, we adopt the feature descriptor Gray Split Rotate (GSR) to accelerate the self-similarity computation. The self-similarity computation is partly transformed into the comparison of the distances between feature descriptors. And we find that the computations of GSR distances of each feature descriptors are independent with each other. By the use of GPU parallel computing power, we filter out a huge amount of unmatched candidates. In our experiments we improve the speed of the compression process by one order of magnitude and meanwhile still preserve the quality of the compressed image by reducing unnecessary candidates.

Abstract: The performance of ontology query has become one of the bottlenecks of the large-scale bulk applications. Firstly OWL ontology files stored into the database in the form of triple table using Oracle 11g semantic technology. And then we designed and implemented the ontology parting method based on horizontal segmentation. Thirdly, several typical ontology query operations were achieved based on the multi-threading technology. Experimental results show that the parallel query methods described herein significantly improve query performance.

Abstract: the online social network has served as a critical medium for information dissemination, diffusion of epidemics and spread of behavior. In this paper, we proposed a model of opinion spreading and evolution based on online social network, where the social temperature is taken into account. First, the forms and features of the opinion spreading and evolution in social network are analyzed. Then a model of opinion spreading and evolution is established, in which social temperature as an external factor participate the opinion evolution of nodes and then affect the opinion spreading. Simulation results show that social temperature has an important impact on the opinion spreading and evolution.