Applied Mechanics and Materials Vols. 241-244

Abstract: In the maintenance of SCADA system, requirements may have been changed, which motivates the component modification to create new versions and their accompany tests. Regression testing strategies aim at the retest for modification affection in SCADA software maintenance. This paper presents a SCADA system regression testing method based on a new Component Testing Association Model. In this method, previously executed test cases are selected to generate the minimal regression test suite by the identification and impact analysis for the modification-affected component groups.

Abstract: In recent years, the "software crisis" in the information industry which reflected the traditional software development methods had no longer met the current software quality assurance. In order to solve the outstanding problems, this paper continuous explores and in-depth studies CMMI system. It makes engineering idea apply to complex software development process management and quality assurance, uses new ideas and methods to achieve efficient control with multi-dimensional and multi-level heterogeneous characteristics model system for software engineering quality to ensure the correct implementation in the process throughout the organization. It provides reasonable technical support so as to achieve the improvement of software development efficiency and quality. Contrast to the popular defect management software, this system innovatively achieves multi-dimensional systematic management from requirements, design, development, defects, testing, evaluation and dissemination with a certain degree of practicality, feasibility and promotion.

Abstract: In order to make the features selected are distributed intensively in a certain class ,evenly in that certain class as much as possible, and make features appear in that certain class as many as possible , three adjusted parameters are added to the originally traditional CHI-square feature selection method through analyzing the relevance between features and classes. Var-CHI statistic method based on variance makes the precision and recall improved apparently by comparing the experiments of the traditional CHI-square feature selection method and the improved one.

Abstract: K-means clustering algorithm is simple and fast, and has more intuitive geometric meaning, which has been widely applied in pattern recognition, image processing and computer vision. It has obtained satisfactory results. But it need to determine the initial cluster class center before executing the k-means algorithm, and the choice of the initial cluster class center has a direct impact on the final clustering results. A selection algorithm is proposed, which based on figure node most magnanimous to determine the initial cluster class center of K-means clustering algorithm. The method compares with the selection algorithm of other initial cluster class center, which has a simple algorithm idea and low time complexity, and it is significantly better than other clustering arithmetic.

Abstract: Network education has been received more and more attention by educators and researchers, but the current quality system of network education seems still not perfect. How to create an effective evaluation model by using modern technology has become an important issue for education workers. DM technology is effective means for abstracting useful information from vast data, which can be used for education evaluation. So introducing DM technology into network education evaluation system, and designing an evaluation model based on DM, will be a new and useful attempt for network education quality evaluation, and will provide a valuable reference for the construction of network education.

Abstract: In [1], we have introduced a lightweight SBML protocol to address the following two problems of the original SBML recovery algorithm; it may no longer be progressing in some transient communication error cases and all the message send operations generated after having received some unstable messages should be delayed until they are known to be stable. However, it may make the full log information of each application message recorded on its sender’s buffer as well as on the buffer of its immediate dependent. This paper presents an efficient information piggybacking algorithm to purge stable message log information from immediate dependents’ buffers with no additional control message. It only piggybacks a variable on original control messages for logging each application message.

Abstract: The purposeof this paper is to establish on a generalization of Hilbert’s inequality and its reinforcement.

Abstract: Nowadays automation systems become more and more heterogeneous with various technologies and standards from different companies and vendors. Each technology has its own concept to model and present process data, leading to the need of a uniform view for the whole systems. OPC UA specification, the next generation of Classic OPC Standards, was introduced as a promising standard that is a good solution to address the issue. Some remarkable advantages of OPC UA have attracted attention: (i) information modeling, (ii) high-performing communication, and (iii) enhanced security mechanism. This paper aims at contributing in the first and big advantage of OPC UA, information modeling concept. Whereas Classic OPC has a poor and simple meta-data model providing tags, OPC UA uses standard information models to lift interoperability to the next level. It allows not only interoperable data exchange but also interoperable model. In our work, information modeling concept based on object-oriented techniques is exemplified by means of a case study for Smart House.

Abstract: As more and more successful software systems become legacy systems,the importance and popularity of software evolution increase[1]. In order to make the mature software systems as components, so that they can be re-assembled and maintenance as automobile parts. In this context, the software evolution process component formal definition is designed based on this background. And then define the component model. Based on the questions in component retrieval, faceted classification of the Components and the theory of tree matching algorithm is discussed and analyzed. The Retrieval of Software Evolution Process Component is designed with the theory of tree matching algorithm so as to support the software evolution process modelling.

Abstract: To fulfill the requirements of processing, analysis and inversing the observational data of experimentations, simulation software for the inversion of satellite experimentations is designed and developed independently on the developing platform of Qt, based on satellite observational data inverse theory. It provides a simulation and calculation platform for analysis and evaluation of space tests. By using dynamics principle and energy conservation principle, the software resolves inverse problems in satellite orbital dynamics. This article mainly presents the function and design method of the software, explains the design goals, shows the overall design framework, and emphasizes key technologies and countermeasures in process of the software design and realization. The software could be used to investigate the inversion of observational data and evaluate technologic indexes in satellite tests.