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The concept of ‘symmetry breaking’ for the control of self-excited combustion dynamics is experimentally investigated in a lean-premixed, swirl-stabilized, two-nozzle, model gas turbine combustor. The present experimental investigation considers two fundamental asymmetries that are rarely explored in tandem – non-uniform fuel split and non-symmetric mean flow field. The equivalence ratio of each nozzle...
The importance of correlation analysis between cyber threat incidents using Cyber Threat Intelligence (CTI) from multiple sources is growing for the enhanced international collaboration on cyber threats. Well-analyzed CTI can increase capabilities to deter possible cyber threats. To this end, many standards have been proposed for efficient CTI expression and sharing to increase attack tractability...
In this paper, we describe Object Pixel Mixture Classifiers (OPMCs) which classify an object not only apart from background but also from other objects based on Gaussian Mixture Model (GMM) classification. The proposed OPMC is different from general GMM based classifiers in the respect that novel pairwise threshold is applied for final classification. Pairwise thresholds are different thresholds depending...
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