Applied Mechanics and Materials Vol. 686

Abstract: This paper focuses on the key technologies of P2P technology and network traffic monitoring, which focuses on AC automaton and bypass interference control technology, and on based of it, we design a new P2P traffic monitoring system. The system uses DPI and DFI recognition technology, as well as straight loss and bypass interference control technology, basically meet the recognition and control of P2P traffic. Finally, the test results show that this system recognition accuracy of P2P traffic is high, good control effect, function and performance meet the design requirements.

Abstract: This paper introduces the hardware structure and software design of data acquisition system based on embedded Linux. In order to improve the real-time response performance and the ability of multi task for system, using ARM9 microprocessor technology in hardware, and transplant the Linux operating system, and the system reliability and scalability can be improved. The design makes full use of the characteristics of embedded Linux. The system software module have data acquisition module, data processing module, data communication module and data diagnostic module. The embedded Linux operating system is transplant into data acquisition system, that can accelerate the development of the system and convenient to future expansion functions, improve the observation data timeliness and accuracy, and can realize automation observation.

Abstract: In order to make effective use a large amount of graduate data in colleges and universities that accumulate by teaching management of work, the paper study the data mining for higher vocational graduates database using the data mining technology. Using a variety of data preprocessing methods for the original data, and the paper put forward to mining algorithm based on commonly association rule Apriori algorithm, then according to the actual needs of the design and implementation of association rule mining system, has been beneficial to the employment guidance of college teaching management decision and graduates of the mining results.

Abstract: In this paper, we aim at researching status and finding the research fronts in the field of Big Data in recent 15 years. This study applies CiteSpace software to the visualization analysis about the literature data from the year 2000 to 2014 in Web of Science, and to carry out preliminary discussion on the research hotspot and the fronts of Big Data. It concluded that Big Data have been exerting so great influence on the world that increasing researchers from different countries and institutes have continuously researched it in recent years.

Abstract: This paper introduces data mining technology in enterprise competitive intelligence system; and then introduced theoretical foundation and main clustering method of cluster analysis. The article emphasis on the FCM algorithm and principle and described implementation steps, and proposed the improvement FCM algorithm based on K mean particle size; finally, realize the design and implementation of enterprise competitive intelligence analysis and mining service system, and the improved FCM algorithm is applied in the system.

Abstract: The rapid development of Internet of Things imposes new requirements on the data mining system, due to the weak capability of traditional distributed networking data mining. To meet the needs of the Internet of Things, this paper proposes a novel distributed data-mining model to realize the seamless access between cloud computing and distributed data mining. The model is based on the cloud computing architecture, which belongs to the type of incredible nodes.

Abstract: This paper describes the use of Web data mining, and analyze the data on the web site (including the server log, commercial database, user database, the shopping cart, user mode) that access to relevant knowledge for goods, commodities such as preference relations. Secondly, the static model of the data mining methods, it is a manifestation of the site management personnel marketing thought. Based on these models, the paper proposed strategy for the site registered users, and produces the corresponding calculating formulas of a good recommendation and the corresponding recommendation algorithm for the current user, thus to get a user recommendation.

Abstract: The architecture of the system is divided into some modules according to the operating level: interface layer, the database engine layer, and data access layer, database maintenance module and data storage module. This paper discusses in detail the data definition design and the important function of EDB and realizes the EDB management implementation details. The paper introduce in details the EDB system architecture, the design of physical storage structure and basic table structure. Through the actual use, the database system is suitable for embedded systems with limited resources, has good portability.

Abstract: In order to effectively analyze the mechanism for the occurrence of ship collision accidents caused by human factors, an accident causing chain was constructed using the Bayesian network structure and the data mining algorithm. According to navigator's cognitive behavior forming process and human errors, the accident cause network structure was constructed using the Bayesian network structure by analyzing 120 typical cases about ship collision accidents caused by human factors; a collision accident cause chain was obtained by mining the frequent combination of human errors using data-mining based Apriori algorithm and JAVA programming language.

Abstract: High-density resistivity method is a new, efficient electrical prospecting method, which can complete a two-dimensional (vertical and horizontal) prospecting process, possesses certain imaging functions for the geo-electric structure, and integrates electric profiling method with electric sounding method together. In this paper, the basic principle, data processing, and result explanation and inference of high-density resistivity method are introduced by taking the application of high-density resistivity method to the prospecting project in the slope of Gongchangling Open Pit, Liaoyang. The result of the prospecting result map analysis showed that the prospecting result was basically in line with the actual situation and proved the great significance of high-density resistivity method to the evaluation on the slope stability of Gongchangling open pit.