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Titlebook: Innovative Computing Technology; First International Pit Pichappan,Hojat Ahmadi,Ezendu Ariwa Conference proceedings 2011 Springer-Verlag G

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Conference proceedings 2011 topical sections on software; Web services and service architecture; computational intelligence; data modeling; multimedia and image segmentation; natural language processing; networks; cluster computing; and discrete systems.
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Resolving Impassiveness in Service Oriented Architecturedeal with resolving the problem of UDDI impassiveness by means of techniques of active database rules. To this end, we present new architecture for UDDI. In addition, the proposed architecture puts Web service invocation with toleration and includes the consumer classification.
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1865-0929 ecture; computational intelligence; data modeling; multimedia and image segmentation; natural language processing; networks; cluster computing; and discrete systems.978-3-642-27336-0978-3-642-27337-7Series ISSN 1865-0929 Series E-ISSN 1865-0937
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Analysis of Quality Driven Software Architecture attribute primitives which are similar to architectural patterns. It then introduces a method called Attribute Driven Design, to involve attribute primitives for satisfying a set of general scenarios. In this analysis, we intend to give a brief description of the both approaches.
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Fault Diagnosis of Journal-Bearing of Generator Using Power Spectral Density and Fault Probability Ds we were calculated G.,PDS and PDF of generator journal-bearing in healthy and unhealthy situation. The results showed that with calculating PSD and PDF we could find some fault of engine and diagnosis them possiblity.
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Prediction of Moisture Content of Bergamot Fruit during Thin-Layer Drying Using Artificial Neural Nes, air velocity and time are used as input vectors and moisture ration as the output. Results showed a 3-8-1 topology for thickness of 6 mm, with LM algorithm and TANSIG activation function was able to predict moisture ratio with .. of 0.99936. The corresponding MSE for this topology was 0.00006.
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Target Tracking on Re-entry Based on an IWO Enhanced Particle Filterkelihood optimization problem, and then the IWO algorithm is integrated. Subsequently, the PFIWO algorithm is applied to a benchmark re-entry target tracking problem. Results are given which demonstrate the proposed scheme has superior tracking performance in comparison with other nonlinear estimation techniques.
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