Advanced Materials Research Vols. 655-657

Abstract: this paper analyzes and studies nature of BPF filter based on Libpcap, first of all, it analyzes location and structure of BPF filter in the Linux system kernel; secondly, it gives a detailed analysis of how BPF deals with filter described by a high-level language; finally, a filter described by a high-level language is presented, and a application program uses this filter to capture required network data packet.

Abstract: B+-trees algorithm is a high efficient and common-used data organization algorithm in database system. But B+-trees algorithm has a disadvantage of low storage utilization. This disadvantage has a bad effect especially on embedded database systems, which have limit storage. To overcome this drawback, this paper presents an improved B+-trees algorithm, and applies it to an embedded database-Berkeley DB. Experimental results show that the improved B+-trees algorithm can attain higher storage utilization at the expense of more execution time than the conventional B+-trees algorithm.

Abstract: The development of safety critical systems becomes even harder sine the integrity and complexity of system functions and architecture grows continuously, and this kind of process involves cooperative work between safety and system engineerings during the development of products. The article presents a new approach called automated safety integrity analysis for complex system relying on functional model, and the process of safety integrity is studied by linking functional design phase using SysML(System Model Language) and Altarica Data Flow language based on risk engineering, and the given method can be analyzed automatically and iteratively during the whole life in order to unify the process between the system design and safety assessment.At last, the approach is exemplified by fuel system of aircraft to demonstrate the applicability and versatility, which explores the engineering research for the analysis technology for safety of the complex system.

Abstract: Intrusion detection algorithm based on support vector machine with pre-extracting support vector is proposed which combines the center distance ratio and classification algorithm. Given proper thresholds, we can use the support vector as a substitute for the training examples. Then the scale of dataset is decreased and the performance of support vector machine is improved in the detection rate and the training time. The experiment result has shown that the intrusion detection system(IDS) based on support vector machine with pre-extracting support needs less training time under the same detection performance condition.

Abstract: In order to increase the utilization of learning resources and produce interchangeable components, a novel communication model is proposed. The model utilizes SCORM to standardize the learning contents and learning management systems and specify the behaviors of the learning contents independent of the learning management system used. At the same time, the model utilizes SOAP to increase interoperability within the wide range of programs and environments. By doing this, different learning groupwares and learning management systems can be integrated.

Abstract: Academic social network contains abundant knowledge about relationships among people or entities. Building the relationship between different entities correctly can help providing comprehensive services in the scientific research field. Unfortunately, some relationships, such as advisor-student relationship, are often hidden in academic social network, which are not explicitly categorized. Discovery of these relationships can benefit many valuable applications such as research community analysis. In this paper, a novel method based on Markov Logic Network is proposed to mine the advisor-student relationship in academic social network. Experimental results show that the proposed approach can find the advisor-student relationship effectively.

Abstract: Along with the increase of XML applications, Native XML database technology is gaining the attention of the field of database, and query optimization is still one of the key research contents. This article，from a new perspective, represents the research on the relationship between XML nodes and proposes a query optimization model based on the associated elements of XML data file . In order to query the information of the related elements in the XML data file, this method takes the strategy of index; and proposed the query algorithms on the query optimization model based on associated elements.

Abstract: A novel long-term information feature for language identification called shifted cepstra curve (SCC) is presented in this paper. Long-term information consists of information over multiple frames, which are commonly used in language identification systems. For instance, in parallel phone recognition language model (PPRLM), the feature vector contains not only information surpassing multiple frames but also linguistic knowledge [1]. However high computational cost for modeling linguistic gram may preclude their use in tasks which demand low memory. By contrast, experiments have proved that linguistics independent long-term information can also achieve high performance in language identification with much lower computing cost. For instance, Shifted delta cepstra (SDC) is employed as long-term information features to establish GMM based language identification systems, which can achieve comparative or even superior performance to PPRLM [2-4]. While, though SDC feature could model the dynamical information across multiple frames, the approximation is not precise enough for language identification. Thus, this paper further presents a new method for linguistics independent long-term information extraction by curve fitting algorithm. Experiments show that new feature based language identification systems are superior to not only short-term features based but also SDC features based systems.

Abstract: Web Services security specifications include SSL/TLS (Secure Socket Layer/Transport Layer Security), XML Encryption, XML Signature, WS-Security specification family, PKI-related specifications etc. SSL/TLS are implemented in non-XML frameworks at the transport level, and others are implemented in XML frameworks at the application level. These specifications can satisfy the different requirements of Web Services security (confidentiality, integrity, authenticity, authorization, authentication and nonrepudiation). XML-based specifications are propitious to the integration and interoperability of Web Services security. SSL/TLS is sufficient for the basic generic security of internal Web Services projects. WS-Security is probably overkill, especially with the heavy XML processing that is involved in WS-Security.

Abstract: An overall description of the structure, main module function, database design and implementation of the Aluminum Alloy Data Management System (AADMS) is presented in this paper. AADMS is developed by JavaEE multilayer distributed model which includes client, web, business and EIS (EIS: Enterprise Information System) layers. This model can separate the complex business logic and data access logic from the client, enhancing the reliability, portability and expansibility of the system. The system provides scientific classification and management methods for general aluminum alloys, and accomplishes a highly efficient query function for materials and process information.