Advanced Materials Research Vols. 760-762

Abstract: In recent years, with the development of Internet of Things, a new challenge is posed on data access. Focusing on the database management problems of internet of things, a design method of database system for Internet of Things was proposed by means of DPT and p2p point cloud. An example of Internet of Things for medical health system verifies the method can solve the problem of database management of Internet of Things to a certain extent and provide technical support for Internet of Things combining distributed processing technology, network technology, and middleware technology.

Abstract: The intrusion detection under the environment of IPv6 is an important security technology along with firewall in system security defense system, which can be used for real-time detection and monitoring of the system in the whole process of system invasion. This paper puts forward an intrusion detection system under IPv6 platform based on intrusion detection feature attribute reduction by using pattern matching, so as to expand the range of application and user group of the security products. By the analysis and comparison of various pattern matching algorithms, the new algorithm realizes the intrusion feature module matching under IPv6, and make detection system be of high efficiency. Later experiments have proved this view.

Abstract: The This paper studies bank customers segmentation problem. Improved Apriori mining algorithm is a kind of data mining technology which is an important method in bank customers segmentation. In practical application, the traditional algorithm has shortcomings of the initial values sensitive and easy to fall into local optimal value, which will lead to low accuracy rate of silver class customer classification. According to the shortcomings of traditional algorithm, this paper puts forward a bank customer segmentation method based on improved Apriori mining algorithm in order to improve the bank customer segmentation accuracy. Experimental results show that the algorithm can effectively overcome the traditional algorithms shortcomings of easy to fall into local optimal value, improve the customer classification accuracy, make mining results more reasonable, lay down different customer service strategies for different client base, improve effective reference opinions of bank decision makers, and bring more benefits for the bank.

Abstract: The development and construction of the university informationization has become the important means for universities to improve their management level and enhance the comprehensive competitiveness.Combining with the situation of our school, Researching an overall construction scheme of the Digital Campus System with a high level of intelligentized management and based on URP (University Resource Planning) is proposed. It focuses on researching these two aspects: the overall framework of this system and the campuss Integrated information portal. So as to achieve the greatest degree of sharing the information and resources, realize the real integration of the information technology and curriculum and promote the change from the traditional teaching methods to the new ones, as well as realizing the purpose of improving the quality of teaching, scientific research and management .

Abstract: In this paper, the Schur D-stability problem for a class of linear grey discrete dynamic systems is studied in terms of the matrix eigenvalues theory and spectral radius approach. Several necessary and sufficient conditions and some sufficient conditions are obtained which can guarantee the Schur D-stability of linear grey discrete dynamic systems. The equivalence relation between the Schur D-stability and Schur stability of linear grey discrete dynamic systems is established.

Abstract: In this paper, the exponential stability problem of grey linear systems with time-varying delay is investigated. By using the matrix measure theory and differential inequality approach, some practical sufficient conditions for guaranteeing the exponential stability of the grey linear systems with time-varying delay are presented. The grey-matrix measure and norm are also introduced.

Abstract: Beside the residual stresses and axial loads, other factors of pipe like ovality, moment could also bring a significant influence on pipe deformation under external pressure. The Standard of API-5C3 has discussed the influences of deformation caused by yield strength of pipe, pipe diameter and pipe thickness, but the factor of ovality degree is not included. Experiments and numerical simulations show that with the increasing of pipe ovality degree, the anti-deformation capability under external pressure will become lower, and ovality affecting the stability of pipe shape under external pressure is significant. So it could be a path to find out the mechanics relationship between ovality and pipe deformation under external pressure by the methods of numerical simulations and theoretical analysis.

Abstract: This paper will discuss issues in data mining and business processes including Marketing, Finance and Health. In turn, the use of KDD in the complex real-world databases in business and government will push the IT researchers to identify and solve cutting-edge problems in KDD modelling, techniques and processes. From IT perspectives, some issues in economic sciences consist of business modelling and mining, aberrant behavior detection, and health economics. Some issues in KDD include data mining for complex data structures and complex modelling. These novel strategies will be integrated to build a one-stop KDD system.