Applied Mechanics and Materials Vols. 631-632

Abstract: The paper researched on the call of the highly reliable compiler in the process of IDE design, the call and the dynamic display of the data of R80515 simulator, and the data communication of the complier window and the compiler error message display window, and designs the frame of IDE.

Abstract: We design a structured big data management system which can deal with large-scale structured datasets and supports the cross-domain collaborative query. The system employs the HDFS as the storage layer. And it realizes a scheduling engine in reference with the splitting technology of the massive parallel processing (MPP) database. Using this engine, tasks can be split and distributed to different sub-nodes for parallel execution. Through cross-domain query module, users can execute SQL commands on the datasets of different datacenters or network domains. Meanwhile, the system supports the distributed deployment, so as to reduce the construction cost by making full use of existing software and hardware resources and equipments. We test the system functions and performance on a 80 nodes cluster, and compares with Hive. The result suggested that system performance is improved by 2-3 times than Hive and the function designed can be performed correctly.

Abstract: Accurately and efficiently managing mechanical parts database is extremely important and pivotal in the machinery industry. In this paper, a dynamic management database system of mechanical parts is established by the Microsoft Access database management system and the VB visualized integrated development environment. This system adopts ADOX object to establish a new database and edit the existing database dynamically, applies data files, ADO and ADOX object to dynamically manage database, and utilizes Datacombo control to realize the selection of data. Being simple, convenient and feasible, this system is an intelligent man-machine interactive operating system, which enhances the work efficiency and substantially decreases repetitive operation.

Abstract: Many queries have been proposed to retrieve graphs. Among others, subgraph query is a fundamental one: given a graph database and a query graph, find the graphs in the database containing the query graph. Most existing works follow the filtering-and-verification framework, where a core task is to reduce the number of candidate graphs. This paper follows the framework and we propose a novel index, namely AG-Index. It indexes adjacent edge pairs of data graphs and can significantly reduce the number of candidate graphs. Our experiments show that our AG-Index outperforms several existing techniques on real-life datasets and synthetic datasets.

Abstract: According to the rapid growth of the scale of the data at present, the traditional model of data analysis based on stand-alone can't meet to the storage and processing of massive data. With the rise of big data technology, integrating the traditional method of data analysis with big data platform to improve the efficiency of data analysis has become a research direction. This paper analyzes the integration of offline data processing and the Hadoop HDFS, MapReduce, designs a large offline data analysis system platform based on Hadoop, and introduces the core function module.

Abstract: The paper addressed the issues of limited resource for data optimization for efficiency, reliability, scalability and security of data in distributed, cluster systems with huge datasets. The study’s experimental results predicted that the MapReduce tool developed improved data optimization. The system exhibits undesired speedup with smaller datasets, but reasonable speedup is achieved with a larger enough datasets that complements the number of computing nodes reducing the execution time by 30% as compared to normal data mining and processing. The MapReduce tool is able to handle data growth trendily, especially with larger number of computing nodes. Scaleup gracefully grows as data and number of computing nodes increases. Security of data is guaranteed at all computing nodes since data is replicated at various nodes on the cluster system hence reliable. Our implementation of the MapReduce runs on distributed cluster computing environment of a national education web portal and is highly scalable.

Abstract: The existing solutions to do factory reset in embedded system have its shortage or couldn’t apply into NAND flash. In addition, since embedded system play more and more complex work in industry, users may damage the embedded device just do typo configure at embedded system. This paper suggests a new way to solve the reminded in existing solutions. And also our performance result shows the reliable of this solution and gives a suggestion that which upper filesystem should be used in our solution.

Abstract: This Paper introduces the complete process of data provenance tracing for transformation diagram based on Wivern: at first, we construct the candidate weak derivation-sets using continued-tracing weak inverse attribute mapping, then verify them according the type and property of transformation and attribute mapping.

Abstract: The advent of big data era brings new development and opportunities for the construction of library information resources. This paper analyzes the impact of big data on the library at home and abroad, and points out the necessary new reform of construction of library information resources in colleges and universities from the perspective of information resource configuration. Under the big data environment, library should develop the data analysis service of big data information resources, establish the literature resources allocation scheme with circulation data as the assessment indicator and develop towards intelligent library.

Abstract: Human error has become a serious threat to the power system operation reliability and safety. As the research of human reliability in power system continues, some quantitative methods were proposed for the power operation safety assessment. In this paper, the implementation of a human reliability evaluation system for assessing the human reliability associated with power system operation is discussed. Firstly, the software architecture of the system is given. Then the detail function design is presented. Practical experiences show that the system could be a useful tool and have an extensive application prospect.