131 research outputs found

    Application of Relevance Feedback in Content Based Image Retrieval Using Gaussian Mixture Models

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    Feature extraction and identification techniques for the alignment of perturbation simulations with power plant measurements

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    In this work, a methodology is proposed for the comparison of the measured and simulated neutron noise signals in nuclear power plants, with the simulation sets having been generated by the CORE SIM+ diffusion-based reactor noise simulator. More specifically, the method relies on the computation of the Cross-Power Spectral Density of the detector signals and the subsequent comparison with their simulated counterparts, which involves specific frequency values corresponding to the signals’ high energy content. The different simulated perturbations considered are (i) axially traveling perturbations, (ii) fuel assembly vibrations, (iii) core barrel vibrations, and finally (iv) generic “absorber of variable strength” types. The reactor core used for the current study is a German 4-loop pre-Konvoi Pressurized Water Reactor

    A parallel algorithm for the minimum weighted vertex cover problem

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    Group updates and multiscaling: An efficient neural network approach to combinatorial optimization

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    Multi-dimensional raycasting for fuzzy pattern classification

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    Efficient evolution of accurate classification rules using a combination of gene expression programming and clonal selection

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    Synchronisation in parallel processing of finite sequences

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    A parallel processing environment where jobs arrive in the form of finite sequences of tasks is considered. Service is provided by multiple parallel servers, so that tasks belonging to a job must be resequenced before leaving the system. A queueing and delay analysis of the system is performed allowing performance measures to be obtained concerning the effects of synchronisation on the behaviour of individual jobs
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