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Mining frequent item sets over P2P network is a challenging problem. The obstacles mainly lie in numerous frequent item sets and huge communication cost. To solve the two problems, a maximal item set mining algorithm P2PMaxSet is proposed. Firstly, only maximal item set is considered, which reduces the number of item sets greatly. Secondly, mining results are only interchanged between neighbor nodes,...
Computer recognition of human emotional states is an important component for efficient human-computer interaction. In this paper we explore an approach for recognition of human emotion from the visual information. We perform feature selection by using the two dimensions fractional Fourier transform. As a generalization of Fourier transform, the two dimensions fractional Fourier transform (2D-FrFT)...
The accurate prediction of cyberspace situation is fundamental to intrusion prevention in large scale networks. After analyzing the cyberspace situation, a cyberspace situation prediction model based on gene expression programming (GEP-CSP) is proposed, to predict the time series of cyberspace situation. Besides, since its own intrinsic characteristics, GEP-CSP solves the problem that the traditional...
Data aggregation has been emerged as a basic approach in wireless sensor networks (WSNs) in order to reduce the number of transmissions of sensor nodes. In this paper, we propose an energy-efficient model based on improved BP neural network by particle swarm optimization (PSO-BPNN) in WSNs. The global optimized initial weights and threshold of BP network are obtained by PSO. And then PSO-BPNN is deployed...
With the proliferation of reconfigurable systems and flexible memory architectures, there has been intense interest in stream systems. While the existing stream systems require the programs to be written using special models, this paper demonstrates an approach to automatically generate stream programs from existing applications written for non-stream scalar processors. As a part of this approach,...
We present the architectural design and recent performance optimizations of a state of the art commercial database replication technology provided in Oracle Streams. The underlying design of streams replication is a pipeline of components that are responsible for capturing, propagating, and applying logical change records (LCRs) from a source database to a destination database. Each LCR encapsulates...
P2P workflow systems meet the development trend of workflow systems. The running path optimization (the path with the minimum running time which consists of the services discovery time and the task execution time) in full-distribution(decentralized) environments has been a bottleneck restricting the performance of P2P workflow systems. Aiming at this problem, this paper proposes an innovative hybrid...
Knowledge reduction is NP-hard problem. And many approaches are proposed to get the minimal reduction, which is mainly based on the significance of the attributes. There are some disadvantages of the reduction algorithms at present. In this paper, we propose a novel heuristic function based on the distribution of granularity and treat it as important metric information of attributes. In the view of...
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