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This paper presents the development and evaluation of an algorithm for the prediction of NOx emissions from a biomass fired combustion process based on flame radical imaging, image processing and soft computing techniques. The investigation was performed on a biomass-gas fired test rig. An algorithm which combines texture analysis and non-negative matrix factorization (NMF) is studied for the image...
The quantitative characterization of combustion flames has long been an important but challenging issue both in combustion research and industrial applications. The shape of a flame is recognized as one of most useful characteristics in the adjustment of combustion parameters. Although medial axis is a useful shape representation of a flame, limited work has been reported on how to extract the medial...
Requirements changes are difficult to avoid in software development processes, and how to manage requirements change is still an open issue. This paper proposes an innovative algorithm, named LCS-NP++, for comparing different versions of requirement specifications to decide requirement changes. We have integrated this algorithm into a production software process management platform-Qone, which is...
The calculation of the Customer Potential Value has enormous impact to the enterprise efficiency. In this paper, based on the analysis of purchased products or services, we use Association Algorithm to predict the purchasing products or services that customer will buy in future and purchasing probability, then calculate the potential value of customer. Finally we accomplish the data mining process.
In order to improve some fundamental problems of the clonal selection algorithm (CSA), a novel clonal selection algorithm (NCSA) is proposed. After analyzing the mechanism of the clonal selection and proposing the antibody model, the basic character of the application problem fused into the NCSA based on rearrangements of antibody molecule coding genes. Next, we analyzed synthetically the antibody-antigen...
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