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RISS 인기검색어
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- 저자 : Partha Sengupta (검색결과 2 건)
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Partha Sengupta,Subrata Chakraborty 국제구조공학회 2022 Structural Engineering and Mechanics, An Int'l Jou Vol.81 No.1
The prediction error variances for frequencies are usually considered as unknown in the Bayesian system identification process. However, the error variances for mode shapes are taken as known to reduce the dimension of an identification problem. The present study attempts to explore the effectiveness of Bayesian approach of model parameters updating using Markov Chain Monte Carlo (MCMC) technique considering the prediction error variances for both the frequencies and mode shapes. To remove the ergodicity of Markov Chain, the posterior distribution is obtained by Gaussian Random walk over the proposal distribution. The prior distributions of prediction error variances of modal evidences are implemented through inverse gamma distribution to assess the effectiveness of estimation of posterior values of model parameters. The issue of incomplete data that makes the problem ill-conditioned and the associated singularity problem is prudently dealt in by adopting a regularization technique. The proposed approach is demonstrated numerically by considering an eight-storey frame model with both complete and incomplete modal data sets. Further, to study the effectiveness of the proposed approach, a comparative study with regard to accuracy and computational efficacy of the proposed approach is made with the Sequential Monte Carlo approach of model parameter updating.
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Soumen Saha,Chandan Sengupta,Partha Deb Ghosh 한국작물학회 2014 Journal of crop science and biotechnology Vol.17 No.4
Genetic uniformity is one of the most important prerequisites for successful micropropagation of crop species. Genetic fidelity ofin vitro raised 40 plants of Ocimum basilicum L. derived from nodal explants was assessed by 56 RAPD and 17 ISSR markers, fortheir genetic stability. Out of 56 RAPD and 17 ISSR primers screened, only 31 RAPD and 11 ISSR primers produced clear, reproducible,and scorable bands. The 31 RAPD primers produced 92 distinct and scorable loci, with an average of 2.96 loci per primer. The number of scorable loci for ISSR primers varied from three (ISSR-BG09 and ISSR-BG11) to eight (ISSR-BG01), with an averageof 4.81 loci per primer. The number of loci generated per primer was greater in ISSR than RAPD. The markers designed fromAG motif amplified more number of loci. The markers anchored at 3´ ends produced a higher number of consistent bands than unanchoredmarkers. All banding profiles from micropropagated plants were monomorphic and similar to those of the mother plant. Asimilarity matrix based on Jaccard’s coefficient revealed that the pair-wise value between the mother and the in vitro-raised plantletswas 1, indicating 100% similarity. This confirmed the true-to-type nature of the in vitro-raised clones
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