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Density-based spatial clustering algorithms can be used to filter out noise and outliers, and discover clusters of arbitrary shape, which are all relatively good algorithms. But when the problem of variable density distribution of spatial objects was taken in to consideration, the accuracy of clustering result can be largely affected by the distribution of spatial objects. Therefore, the strategy...
In semantic Web, ontology mapping is the basis of the interoperation of heterogeneous ontologies. Ontologies are usually distributed and heterogeneous and thus it is necessary to find the mapping between them before processing across them. The current ontology mapping methods merely use massive Web pages in the Internet and they are unpractical to subsequent interoperation and integration of heterogeneous...
Urbanization has brought great challenges to the sustainable development of cities, especially in developing countries. Simulation of urban expansion thus captures increasing interests in research. SLEUTH model, a cellular automata-based dynamic model, is a powerful tool for simulating complex urban expansion and description of urban spatial dynamics. For further study of the dynamics change of urban...
In business processes, buyers and suppliers define a contract between the two parties such as quality of service(QOS) and quality of products. Organizations operating in modern markets require an excellent service management. When services or products are created or managed using workflow processes, the workflow management system should predict, monitor and control the QOS rendered to customers according...
In order to maintain or gain competitive advantage and manage knowledge of the enterprise, a new strategy of knowledge management in network organization is presented.It helps to build strong relations with employees, customers,and suppliers and partners.
The basic knowledge of virtual reality and virtual instrument technique were introduced. According to the present safety conditions of foundation excavation, the support monitoring system of foundation excavation is put forward. With Windows and Lab VIEW technologies, the support monitoring system of foundation excavation is developed, which is integrated with data automatically collecting, information...
In this paper we present a model of the formation and evolution of innovation network in an oligopolistic industry. A series of theoretical analysis of knowledge characteristics and simulation analysis of the weighted efficient have been studied. The results indicate that there exists the optimal relative knowledge distance and the codified extent of knowledge for collaboration. Moreover the weighted...
Atomization in flood discharge of high dam is a serious and complicated problem which belongs to the research field of water-air and air-water two phase flow. The motion of atomized flow is restricted by water head, discharge and operation scheme and affected by environmental wind and terrain. Numerical simulation is the main method of forecasting the range of atomization. Neural network as a new...
The rapid development of data technology, as exemplified by data mining and Internet growth, creates a large information overload and forthcoming knowledge overload. Data mining discovers a large mount of knowledge, but not all of the knowledge is useful. Meanwhile the useful knowledge will also become un-useful as time goes by. How to manage this kind of knowledge is an urgent problem for data mining...
The evaluation of tourism crisis would have significant meanings to encounter crisis and recover from it, also can be served as decision reference to relevant managers and officials. Currently researchers usually make the evaluation of tourism crisis on the aid of complex indexes system, surplus researcherspsila subjective judgment. On considering the characteristics of tourism crisis, many variables...
A new association rule algorithm is discussed. It is based on the weighted association rule algorithms of minwal(0) and minwal(w). The new algorithm can effectively mine the association rules which define some attributes as antecedent partial, while others as consequent partial. The new algorithm also can effectively mine the association rules with lower support and high confidence, and these association...
Methods of artificial intelligence have been widely used in the study of investment related topics, and the methods adopted include genetic algorithm and neural network, etc. However, as different to the methods taken in the past, support vector machine is adopted in this article to perform investment strategy study for domestic stock market; investment strategy can be divided into three strategies...
This thesis takes three approaches in strategic sense respectively: Call, put and hold. First of all, it collects daily information and relevant factors which could influence the stock price one day ahead of the actual trading for China Steel stocks. These factors include aspects in the stockpsilas fundamental, share volume, technical performance in addition to Dow Jones average plus processing these...
With simple architecture and faster speed, linear feedback shift register often is selected to produce random number in many applications. However, the random number generated by LFSR cannot meet the demand of unpredictability for secure mechanism. The nonlinearity of genetic algorithm can be used to improve the property of LFSR. We present a novel random number generator by using genetic algorithm...
The kaburobo is a kind of stock robot developed by Waseda University written in JAVA. People can finish virtual stock exchanges (VIREAL) on a imagine platform. Players can also make a program to carry on the algorithm simulation and be realized it through the software interface. This paper introduced kaburobopsilas work principle in detail. Based on the research result and through this stock trade...
In this paper, a novel fuzzy particle swarm optimization (NFPSO), in which inertia weight as well as the learning coefficient can be adaptively adjusted according to the control information translated from the fuzzy logic controller (FLC) during the search process, is presented by introducing a two-input and two-output FLC into the canonical particle swarm optimization (CPSO). The effectiveness of...
Supplier selection in industry is a cross-functional, group decision-making problem, frequently solved by a non-programmed decision-making process, and involving long-term commitment for a company. During recent years, how to determine suitable suppliers in the supply chain has become a key strategic consideration. However, the nature of these decisions usually is complex and unstructured. Especially,...
This thesis elaborated the concept, significance and main strategy of machine learning as well as the basic structure of machine learning system. By combining several basic ideas of main strategies, great effort are laid on introducing several machine learning methods, such as Rote learning, Explanation-based learning, Learning from instruction, Learning by deduction, Learning by analogy and Inductive...
Intrusion detection is one of network security area of technology main research directions. Data mining technology was applied to network intrusion detection system (NIDS), may automatically discover the new pattern from the massive network data, to reduce the workload of the manual compilation intrusion behavior patterns and normal behavior patterns. This article reviewed the current intrusion detection...
The paper proposes a scheme for direct torque control(DTC) which is propitious to axially laminated anisotropic (ALA) and PMSM combined rotor synchronous motor., the conventional speed error PI adjustor is substituted for sliding mode controller(SMC). The principle of speed error sliding mode controller is presented, the system is simulated with MATLAB/SIMULINK, results show current and flux linkage...
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