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Efficient Exonic Regions Prediction in DNA Sequence Using Fast Converged Adaptive Filter
Y. Murali Krishna,K. Murali Krishna,Ch. Amaranatha Sarma 보안공학연구지원센터 2016 International Journal of Signal Processing, Image Vol.9 No.5
Signal processing takes an important role in genomic with enormous data available in public domain. Generally digital filters are applied to predict the protein and genes, but it needs to be redesigned when the characteristic frequency and periodic behavior is changed. In this paper proposed the novel adaptive algorithm which can identify the genes and proteins effectively from unified framework. First using the electron ion potential method the symbolic DNA sequences are converted in to digital signal. Secondly the filtering scheme for genomic signal processing with periodic behavior in biological sequence is introduced, which can predict and analyze the biological region that are interested in. finally the proposed adaptive filtering method is applied to recognize the exons of protein coding regions according to periodic-3 property. The exons prediction curves are obtained with Discrete Fourier Transform (DFT), Least mean square (LMS), and proposed Fast Recursive least Mean Square (F-RLS) algorithms. It is shown that proposed method shows efficiency in convergence of identification and precise prediction of exons regions compared to existed methods.
QR code as speckle pattern for reinforced concrete beams using digital image correlation
Krishna, B. Murali,Tezeswi, T.P.,Kumar, P. Rathish,Gopikrishna, K.,Sivakumar, M.V.N.,Shashi, M. Techno-Press 2019 Structural monitoring and maintenance Vol.6 No.1
Digital Image Correlation technique (DIC) is a non-contact optical method for rapid structural health monitoring of critical infrastructure. An innovative approach to DIC is presented using QR (Quick Response) code based random speckle pattern. Reinforced Cement Concrete (RCC) beams of size $1800mm{\times}150mm{\times}200mm$ are tested in flexure. DIC is used to extract Moment (M) - Curvature (${\kappa}$) relationships using random speckle patterns and QR code based random speckle patterns. The QR code based random speckle pattern is evaluated for 2D DIC measurements and the QR code speckle pattern performs satisfactorily in comparison with random speckle pattern when considered in the context of serving a dual purpose. Characteristics of QR code based random speckle pattern are quantified and its applicability to DIC is explored. The ultimate moment-curvature values computed from the QR code based random speckled pattern are found to be in good agreement with conventional measurements. QR code encrypts the structural information which enables integration with building information modelling (BIM).