St. Martin's Engineering College

About: St. Martin's Engineering College is a based out in . It is known for research contribution in the topics: Dielectric & Abrasive jet machining. The organization has 105 authors who have published 96 publications receiving 335 citations.

A multimodal biometric authentication scheme based on feature fusion for improving security in cloud environment

Abstract: In recent days, due to the advent of advanced technologies such as cloud computing, accessing data can be done anywhere at any time Meanwhile, ensuring the data security is highly significant Authentication plays a major role in preserving security via different access control mechanisms As a recent trend, the biological information of the individual user is considered as verification scheme for the authentication process Traits such as fingerprint, iris, ear or palm print are widely used to develop the authentication systems from its patterns But, to increase the complexity of the user authentication and to ensure high security, more than a trait is combined together In this paper, a multimodal authentication system is proposed by fusing the feature points of fingerprint, iris and palm print traits Each trait has undergone the following procedures of image processing techniques such as pre-processing, normalization and feature extraction From the extracted features, a unique secret key is generated by fusing the traits in two stages False Acceptance Rate (FAR) and False Rejection Rate (FRR) metrics are used to measure the robustness of the system This performance of the model is evaluated using three standard symmetric cryptographic algorithms such as AES, DES and Blowfish This proposed model provides better security and access control over data in cloud environment

Response of various target genes to diet-delivered dsRNA mediated RNA interference in the cotton bollworm, Helicoverpa armigera

Abstract: The cotton bollworm, Helicoverpa armigera is a highly polyphagous pest infesting a number of economically important crops, annually causing enormous crop losses. Management of this pest is challenging over the years due to various factors including development of resistance to wide spectrum of chemical insecticides. RNA interference (RNAi) has tremendous potential to combat insect pests. However, RNAi mediated silencing efficiency varies from gene to gene, hence successful RNAi mediated pest control requires selection of suitable target gene(s), which are effectively silenced by the exogenous delivery of cognate double-stranded RNA (dsRNA) through midgut. Therefore, we have evaluated the effect of two concentrations of dsRNA delivered through semi-synthetic diet in silencing five important genes, viz. glutathione-S-transferase, cytochrome P450 (both involved in detoxification of host allelochemicals); trypsin, chymotrypsin (both involved in digestion of proteins) and juvenile hormone acid methyl transferase (jhamt) (involved in larval metamorphosis). Extent of silencing was assessed by quantitative real-time PCR (qRT-PCR). Results revealed that above target genes were silenced variably, 20 μg dsRNA treatment having a more pronounced effect than 10 μg in reducing the transcript levels, larval, pupal weight, and pupation. Silencing of chymotrypsin had a more pronounced effect on larval and pupal weight compared to other target genes, while jhamt severely affected pupation. This study demonstrated that target genes have varied sensitivity to RNAi, chymotrypsin, and jhamt were shown to be suitable candidate genes that could be utilized for RNAi mediated management of H. armigera.

Evaluation of reference genes for quantitative real-time PCR normalization in cotton bollworm Helicoverpa armigera

Abstract: Reverse-transcription quantitative real-time PCR (RT-qPCR), a sensitive technique is being extensively employed in quantification of gene expression. However this requires normalization with suitable reference gene (RG) which is crucial in minimizing inter sample variations. Information regarding suitable RG is scarce in general and more so in insects, including the cotton bollworm, Helicoverpa armigera, an economically important pest. In management of this pest RNA interference (RNAi) is perceived as a potential tool, which is achieved by double-stranded RNA (dsRNA) delivery. These studies demand accurate quantification of gene silencing. In this study we assessed the suitability of five RGs viz. β-actin (ACTB), 18S rRNA (18S), glyceraldehyde-3-phosphate dehydrogenase (GAPDH), β-tubulin (TUB) and elongation fator-1-alfa (EF1-α) for gene expression studies in dsRNA treatment and across different developmental stages of H. armigera and ranked using geNorm, NormFinder and BestKeeper software programs. Data analysis revealed that best ranked RGs were varied in dsRNA treatment and in developmental stages. Under dsRNA treatment, 18S and GAPDH were more stable whereas, TUB and GAPDH were more stable across developmental stages. We also demonstrate that inappropriate selection of RG led to erroneous estimation of the target gene, chymotrypsin expression. These results facilitate accurate quantification of gene expression in H. armigera.