Advanced Materials Research Vols. 121-122

Abstract: Among the many mining algorithms of association rules, Apriori Algorithm is a classical algorithm that has caused the most discussion; it can effectively carry out the mining association rules. However, based on Apriori Algorithm, most of the traditional algorithms existed "item sets generation bottleneck" problem, and are very time-consuming. An enhance algorithm associating which is based on the user interest and the importance of itemsets is put forward by the paper, incorporate item that user is interested in into the itemsets as a seed item, then scan the database, incorporate all other items which are in the same transaction into itemsets, Construct user interest itemsets, reduce unnecessary itemsets; through the design of the support functions algorithm not only considered the frequency of itemsets, but also consider different importance between different itemsets. The new algorithm reduces the storage space, improves the efficiency and accuracy of the algorithm.

Abstract: Topic Maps (TM) are standardized by ISO 13250 for the pur¬pose of semantic annotation of WWW resources. This paper presents the knowledge navigation system for E-Government information portal based on Topic Maps technology, including four layers: information resources layer, knowledge layer, information navigation server layer and application layer. The method of constructing topic maps from domain ontology is discussed. The knowledge layer is abstracted from large quantities of distributing heterogeneous municipal information resources by using TM. Navigation scope is built on the knowledge level which enlarges the navigation unit granularity and quantity of receiving information, shortens the navigation routing, improves the efficiency of navigation, and achieves the intelligent information retrieval. The research is valuable in E-Government and knowledge navigation.

Abstract: Organizations are more concerned about the appropriate IT governance. The growing dependency on IT due to the increasing volume of business process automation further challenges the role of Information System Auditor. IT Governance Institute has developed COBIT as a model for this purpose.AS one of the most important and widely adopted performance measurement methods, COBIT is an attractive tool to measure and evaluate IT contribution to corporate performance. In this paper, we review the potential role of information technology as a corporate governance tool and explore the Control Objectives for Information and related Technology (COBIT). As the worlds leading IT governance and control framework COBIT should be gauged not only in simple control terms but by reference to the useful assessment of corporate governance efficiency.

Abstract: A multi-polices access control model is proposed, with the model, access control based on policy regulation and XML based policy description is given. At the same time, We use the XSD(XML Schema Definition) to describe the content and the structure of the xml documents, and check the validity of the xml documents. Based on the description of the access control, an application system is realized we construct the runtime platform and choose some access control polices to test our system. The result is well.

Abstract: Image segmentation is an important constituent portion in image processing and retrieval. Based on the traditional Wavelet-domain Hidden Markov Tree (HMT) Multi-scale Segmentation method, this paper presents a Contextual Label Tree (CLT) method according to the dependency information between image blocks belong to different scales, including the relation from the father node, the neighbor nodes and the neighbor nodes of the father. This method calculates the maximal similarity using context vectors that exit on every tree node and realizes image segmentation from coarse-scale to fine-scale. Experiments show that this method is satisfied with its segmentation performance.

Abstract: Since traditional power is non-renewable and unfriendly to environment, renewable energy power which overcomes defects of traditional energy will gradually replace the conventional thermal power. Based on the utilization problem of renewable energy in Smart Grid, this paper builds an Energy Internet which supports real-time, high-speed, two-way transmission of power data and more renewable energy. The Energy Internet achieves reliable two-way transmission of power and realizes intelligent management of the grid. This paper proposes the concept and characteristics of the Energy Internet and completes the design of the Energy Internet network structure and system components. Key issues, such as Renewable Energy Management System, energy storage devices, will be discussed, and finally the paper will point out the direction for further research.

Abstract: The octanol / water partition coefficient (Kow) is an important physical parameters to describe their behavior in the environment. However, because of some reasons, it is difficult to determine the octanol / water partition coefficient of each compound accurately. In this paper, we will introduce RBF neural network and molecular bond connectivity index to forecast the solubility of organic compounds in water. The result is better using the BP network to predict, the correlation coefficient has achieved 0.998, the prediction error in the permission scope.

Abstract: Knowledge is increasingly becoming one of the most important productive factors those which create the value of the industrial organization. In fierce market competition, the tacit knowledge is the vital resource for corporation to build and obtain competition advantage. From the perspective of the basic model of tacit knowledge acquisition, this paper studies how the tacit knowledge spreads between two corporations, and uses the theory of System Dynamics (SD) to analyze it by the method of Computer-aided Simulation.

Abstract: The study presents a human tracking system. To tracking a person, we adopt a particle filter as tracking kernel, since the method has proven successful for tracking in non-linear and non-Gaussian estimation. In a particle filter, a set of weighted particles represents the possible target sates. In this study, we measure the weight according to both the appearances of the target object and background scene to improve the discriminability between them. In our tracker, the appearances are modeled as color histogram, since it is scale and rotation invariant. However, the color histogram extraction for a large number of overlap regions is repeated redundantly and inefficiently. To speed up it, we reduce the cost for calculating overlapped regions by creating a cumulative histogram map for the processing image. The experimental results show that the tracker has the best precision improvement, and the tracking speed is 49.7 fps for 384 × 288 resolution, when we use 600 particles. The results show that the proposed method can be applied to a real-time human tracking system with high precision.

Abstract: The open-up data mining system is one of developing directions of the present data mining system. In this paper we have put forward a data mining system based on the Web Services and given an applied example on the basis of analysis of the system. As the Web Services have stronger sealing and their joints are simple, they make the integration of the data mining system more flexible, heightening the working of the mining system.