Applied Mechanics and Materials Vol. 151

Abstract: Considering the efficiency problem of software vulnerability discovering in Linux system, a new software vulnerability discovering in Linux system program with data mining algorithm is proposed in this paper. An improved REL algorithm based on one-dimensional linked list is proposed, and mining on Linux sequence data of system call with REL algorithm, then we do analysis and detection of software vulnerabilities. A model of software vulnerability discovering analysis system with LRE algorithm was designed. Finally, experimental results show the validity of mining on Linux sequence data of system call with REL algorithm in terms of reducing the false alarm rate, and improving the efficiency of software security vulnerability discovering.

Abstract: A storage automation rebuilding scheme was proposed to enhance the space utilization and operational efficiency based on the analysis of the existing problem on traditional warehouse. The warehouse’s re-designing & re-planning scheme was determined, and the computer management & control system based on barcode and Radio Frequency (RP) technology was introduced with the fully utilization of traditional warehouse and original equipment. The hardware and software of the system were also expounded. Finally according to the requirement of host computer management & control system, operational control technology is integrated with information management, and the operation-oriented warehouse dynamic information management system was elaborated. The research results show that the rebuilding schemes have important theoretical and realistic significance on the improvement of changing the traditional warehouses into logistics centers.

Abstract: Search engine has adopted a variety of techniques to improve the accuracy of information retrieval, but the way of a linear list of search engine results, which mixes unrelated documents with relevant documents, has brought user great burden. This article commits to build clustering of search results, which is based on meta search engine techniques. We use all the popular search engine as a data source, then after a certain pre-processing of the source search engine, hierarchical clustering results is formed and returned to the query users. we propose a multi-language supporting, label first clustering algorithm, which we named DCFC algorithm. This algorithm supports both Chinese and English query, focuses on generating human readable labels, shows search results in hierarchical structure.

Abstract: With a high demand of clients to the precision and production efficiency about the CNC lathe, there is also a high demand to the precision of the sword of the tool checking instrument. In order to raise the precision of the sword and decrease the time of aligning tools, the thesis designs an auto-checking instrument applied on in-machine touch CNC lathe tool, and analyses its error. It proves that this auto-checking instrument has a wide size range and can locate once the size of the lathe tool. Its accuracy of the X-axis can be 0.02mm, of the Z-axis can be 0.025mm. It improves effectively the precision and production efficiency of the aligning knife, reduces labor cost. It has high practical value.

Abstract: With the development of artificial intelligence and data warehouse application development,Intelligent and efficient data mining technology has become the huge data bottleneck, This paper studies stratification theory improved technology to realize the property overrides hierarchical database, Data pretreatment based on the mining algorithm, Through in-depth analysis and research, Improved the A-R algorithm, Realize the problem scope expanded and improved the classical association rules mining algorithm efficiency, Based on the realization of the multilevel association rules mining based on the attribute weights of attributes covering hierarchical database mining methods,To improve the mining knowledge representation systems automation capabilities and data mining algorithm and its application to extended practical problems

Abstract: Retracted paper: The cyber informatics solution to IPv7 is defined not only by the refinement of IPv7, but also by the important need for super pages. In fact, few experts would disagree with the synthesis of scatter/gather I/O, which embodies the unproven principles of theory. In this position paper, we demonstrate not only that SCSI disks and kernels can collaborate to address this grand challenge, but that the same is true for SMPs.

Abstract: Aiming at the problem of NewMoment algorithm frequently do leftcheck operation in the data mining process, which leads to the low efficiency of algorithm. In this paper, a new method, called LevelMoment, is proposed to improve the NewMoment algorithm which mines frequent closed itemsets over data streams. In this process, a new data structure that added in level node, called LevelCET, is proposed. On this structure, using level checking strategy and optimum frequent closed items checking strategy can quickly tap all the frequent closed itemsets over data streams. The experiments and analysis show that the algorithm has good performance.

Abstract: Presently recommendation systems have gradually become an important part in E-Commerce, more and more research papers about recommendation systems in E-Commerce appeared in many kinds of conferences and journals. With expanding of E-Commerce it also faces series of challenges. Traditional collaborative filtering recommendation technique is hard to provide recommendation service for unregistered users. To overcome this problem, we suggested a framework of recommendation system based on web mining. It is made up of two parts, offline and online. This method first clustered web usage data, web content data and web structure data respectively, then provided high-quality recommendation services based on mining results. Compared with traditional collaborative filtering techniques, recommendation systems based on web mining are convenient for users because user need not to provide user-rating data explicitly. In end of this paper, accuracy of recommendation system based on web mining was tested and compared with traditional collaborative filtering recommendation system. Testing results showed that, quality of recommendation system based on web mining is better than quality of traditional collaborative filtering recommendation system.

Abstract: In order to improve the energy efficiency and build a green Ethernet, we propose a simple power saving (SPS) scheme with a burst transmission for Energy Efficient Ethernet. In SPS scheme, let the link transfer to the sleep mode as soon as no packets are ready for transmission, whereas let the link return to the awake mode when a fixed number of packets arrive during the sleep mode. We build a vacation queueing model with N strategy to describe the working principle of SPS scheme. By using the method of embedded Markov chain, the formulas of performance measures are given. Finally, numerical results are provided to show the impact of traffic load on system performance.

Abstract: In this paper design of quiet zones in broadband diffuse fields has been present by using the method of acoustic pressure minimization over various spaces and frequencies. The technique is squared acoustic pressure minimization. The theory and simulations of pressure minimization over space and frequency using one-channel and two-channel systems are presented. The work presented in this paper focus on diffuse primary fields with one and two secondary sources. It is shown that larger zones of quiet are obtained using two secondary sources, with better control over the shape and location of the quiet zones. The main contributions of the paper are that a design method of active systems to generate larger zones of quiet in broadband diffuse fields is proposed and the performance of the active systems is analyzed.