The hardware design of the DSP-based network camera is described in this paper which includes the implementation of CCD camera, DSP, Flash, SDRAM, CPLD, and Ethernet. The program of JPEG2000has been tested on the desi...
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Sequential pattern mining is one of the most important fields in data mining. In this paper, we propose a novel algorithm FSPAN (Fast Sequential Pattern mining algorithm) to do the sequence mining. FSPAN can mine all ...
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By means of introducing multi-auctioneer model, resources in the computational economic grid can be managed and allocated like in the auction. We research and put forward the corresponding solve schemes of three key i...
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ISBN:
(纸本)9780889866386
By means of introducing multi-auctioneer model, resources in the computational economic grid can be managed and allocated like in the auction. We research and put forward the corresponding solve schemes of three key issues of auctioneer system: preventing auctioneer from cheating, selection of auctioneer, setting of trading prices, and use computational grid modeling and simulation tools GridSim to simulate computational grid environment in the experiment which uses multiauctioneer system to manage and schedule, then we analyze the results of experiment in different conditions, and validate the feasibility of a multi-auctioneer system in computational grid.
In this paper, we investigate the deficiency of Goyal and Egenhofer's method for modeling cardinal directional relations between simple regions and provide the computational model based on the concept of mathemati...
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Identification of transcription factor binding sites from the upstream regions of genes is a highly important and unsolved problem. In this paper, we propose a novel framework for using evolutionary algorithm to solve...
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ISBN:
(纸本)0769525288
Identification of transcription factor binding sites from the upstream regions of genes is a highly important and unsolved problem. In this paper, we propose a novel framework for using evolutionary algorithm to solve this challenging issue. Under this framework, we use two prevalent evolutionary algorithms: Genetic, Algorithm (GA) and Particle Swarm Optimization (PSO) to find unknown sites in a collection of relatively long intergenic sequences that are suspected of being bound by the same factor. This paper represents binding sites motif to position weight matrix (PWM) and introduces how to code PWM to genome for GA and how to code it to particle for PSO. We apply these two algorithms to 5 different yeast Saccharomyces Cerevisiae transcription factor binding sites and CRP binding sites. The results on Saccharomyces Cerevisiae show that it can find the correct binding sites motifs, and the result on CRP shows that these two algorithms can achieve more accuracy than MEME and Gibbs Sampler.
Large scale terrain visualization with high-resolution has an increasing demand in many research fields. To realize the efficient rendering of terrain, this paper presents an out-of-core terrain visualization method b...
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In this paper an intrusion detection method based on Dynamic Growing Neural Network (DGNN) for wireless networking is presented. DGNN is based on the Hebbian learning rule and adds new neurons under certain conditions...
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Modularity and rigor are two key elements for multi-agent technology. Hong Zhu's multi-agent system (MAS) development method provides proper language facilities supporting modularity. To enhance this method with r...
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Modularity and rigor are two key elements for multi-agent technology. Hong Zhu's multi-agent system (MAS) development method provides proper language facilities supporting modularity. To enhance this method with rigor advocates a DL method to map the specification of MAS into a DL TBox. Thus, we can use the existing DL reasoners and systems to verify and validate some system's properties.
A novel self Adaptive Support Vector Clustering algorithm (ASVC) is proposed in this paper to cluster dataset with diverse dispersions. And a Kernel function is defined to measure affinity between multi-relational dat...
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A Spectrum-based Support Vector Algorithm (SSVA) to resolve semi-supervised classification for relational data is presented in this paper. SSVA extracts data representatives and groups them with spectral analysis. Lab...
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