643 research outputs found

    Biometrics in Cyber Security

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    Computers play an important role in our daily lives and its usage has grown manifolds today. With ever increasing demand of security regulations all over the world and large number of services provided using the internet in day to day life, the assurance of security associated with such services has become a crucial issue. Biometrics is a key to the future of data/cyber security. This paper presents a biometric recognition system which can be embedded in any system involving access control, e-commerce, online banking, computer login etc. to enhance the security. Fingerprint is an old and mature technology which has been used in this work as biometric trait. In this paper a fingerprint recognition system based on no minutiae features: Fuzzy features and Invariant moment features has been developed. Fingerprint images from FVC2002 are used for experimentation. The images are enhanced for improving the quality and a region of interest (ROI) is cropped around the core point. Two sets of features are extracted from ROI and support vector machine (SVM) is used for verification. An accuracy of 95 per cent is achieved with the invariant moment features using RBF kernel in SVM

    Insight on the usage of mask with respect to COVID-19: a review

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    Face-masks are currently turning into a fundamental piece of our clothing standard, without a doubt. While the West wasn't entirely ok with face-masks in the pre-COVID-19 period, East Asians were all the more inviting of them. Controlling a respiratory contamination at source by a mask is an entrenched procedure. The utilization of masks followed by certain precautionary measure is a piece of a thorough bundle of the avoidance and control gauges that can restrain the spread of any respiratory viral maladies, including COVID-19. Subsequently the fundamental point of the examination is to illuminate the mask, their utilization and guidelines to be followed during this pandemic period. Numerous nations have suggested the utilization of fabric mask/face covers for the overall population. Right now, the boundless utilization of mask by healthy individuals in the network setting isn't yet upheld by high calibre or direct logical proof and there are likely advantages and damages to consider. Any mask worn for everyday assurance against COVID-19 will be flawed, at any rate for the current pandemic time

    A QUALIFIED GRADED ATTRIBUTE-BASED ENCRYPTION ACCESS REGULATE MODE FOR ROVING CLOUD COMPUTING

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    To build a new niche system to run large-scale disadvantaged RDFD sections. New database strategies to collect buttons related to the database. In this document, we describe the PPR, a capable and virtualized RDF data management system for the cloud. Unlike the previous map, RPCL performs a physical analysis of the sample and Sca information before the information and the wallet. This machine keeps the current good reputation by running in a sliding window that works, as well as related tasks and overlapping edges. The article refers to the machining of the article through the eligibility of the RFJ chart, which is based on the local grid, horizontal navigation and the distribution industry. Important Pay key is a necessary index in RFJ, uses the use of a linguistic tree to implement each URL or word, and assigns a certain number of important values. Consuming such data by using graphics demography using conventional minute cutting algorithms results in very small dividends and more quantity. Many RDF systems are available in the Hash division and in the selection, the project and the segments. The grid system was from the first system, to administer neutral RDF at the poorest scale. Within this document, we describe the construction of RPLL, your organization of basic data, together with Neurosis’s, we use the data to distribute and distribute data. We produce an RPGCL product, our products will be shown exclusively, depending on the working conditions of the workload, instead of the two main reasons

    Next Generation dsRNA-Based Insect Control: Success So Far and Challenges

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    RNA interference (RNAi) is a method of gene silencing where dsRNA is digested into small interfering RNA (siRNA) in the presence of enzymes. These siRNAs then target homologous mRNA sequences aided by the RNA-induced silencing complex (RISC). The mechanism of dsRNA uptake has been well studied and established across many living organisms including insects. In insects, RNAi is a novel and potential tool to develop future pest management means targeting various classes of insects including dipterans, coleopterans, hemipterans, lepidopterans, hymenopterans and isopterans. However, the extent of RNAi in individual class varies due to underlying mechanisms. The present review focuses on three major insect classes viz hemipterans, lepidopterans and coleopterans and the rationale behind this lies in the fact that studies pertaining to RNAi has been extensively performed in these groups. Additionally, these classes harbour major agriculturally important pest species which require due attention. Interestingly, all the three classes exhibit varying levels of RNAi efficiencies with the coleopterans exhibiting maximum response, while hemipterans are relatively inefficient. Lepidopterans on the other hand, show minimum response to RNAi. This has been attributed to many facts and few important being endosomal escape, high activity dsRNA-specific nucleases, and highly alkaline gut environment which renders the dsRNA unstable. Various methods have been established to ensure safe delivery of dsRNA into the biological system of the insect. The most common method for dsRNA administration is supplementing the diet of insects via spraying onto leaves and other commonly eaten parts of the plant. This method is environment-friendly and superior to the hazardous effects of pesticides. Another method involves submergence of root systems in dsRNA solutions and subsequent uptake by the phloem. Additionally, more recent techniques are nanoparticle- and Agrobacterium-mediated delivery systems. However, due to the novelty of these biotechnological methods and recalcitrant nature of certain crops, further optimization is required. This review emphasizes on RNAi developments in agriculturally important insect species and the major hurdles for efficient RNAi in these groups. The review also discusses in detail the development of new techniques to enhance RNAi efficiency using liposomes and nanoparticles, transplastomics, microbial-mediated delivery and chemical method

    (7-Chloro-2-oxo-2H-chromen-4-yl)methyl piperidine-1-carbodithio­ate

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    In the title compound, C16H16ClNO2S2, the piperidine ring is in a chair conformation. In the coumarin ring system, the dihedral angle between the benzene and pyran rings is 3.5 (1)°. In the crystal, a weak C—H⋯O hydrogen bond links mol­ecules into chains along [001]. In addition, π–π stacking inter­actions are present involving the benzene and pyran rings, with a centroid-to-centroid distance of 3.712 (2) Å. The crystal studied is a nonmerohedral twin with refined components 0.221 (1) and 0.779 (1)

    Expansion of myeloid-derived suppressor cells contributes to metabolic osteoarthritis through subchondral bone remodeling

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    Background: Osteoarthritis (OA) subsequent to acute joint injury accounts for a significant proportion of all arthropathies. Myeloid-derived suppressor cells (MDSCs) are a heterogeneous population of myeloid progenitor cells classically known for potent immune-suppressive activity; however, MDSCs can also differentiate into osteoclasts. In addition, this population is known to be expanded during metabolic disease. The objective of this study was to determine the role of MDSCs in the context of OA pathophysiology. Methods: In this study, we examined the differentiation and functional capacity of MDSCs to become osteoclasts in vitro and in vivo using mouse models of OA and in MDSC quantitation in humans with OA pathology relative to obesity status. Results: We observed that MDSCs are expanded in mice and humans during obesity. MDSCs were expanded in peripheral blood of OA subjects relative to body mass index and in mice fed a high-fat diet (HFD) compared to mice fed a low-fat diet (LFD). In mice, monocytic MDSC (M-MDSC) was expanded in diet-induced obesity (DIO) with a further expansion after destabilization of the medial meniscus (DMM) surgery to induce post-traumatic OA (PTOA) (compared to sham-operated controls). M-MDSCs from DIO mice had a greater capacity to form osteoclasts in culture with increased subchondral bone osteoclast number. In humans, we observed an expansion of M-MDSCs in peripheral blood and synovial fluid of obese subjects compared to lean subjects with OA. Conclusion: These data suggest that MDSCs are reprogrammed in metabolic disease, with the potential to contribute towards OA progression and severity

    Exploiting genetic diversity of walnut (Juglans regia) from Jammu region of India for export related traits

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    The present field work was done to study the existing genetic diversity and its exploitation through identifying elite walnut (Juglans regia L.) mother trees from the large number of naturally growing seedling trees in erstwhile Doda district of Jammu region of Jammu & Kashmir state. The field work was done from 2006 to 2012. A total of 63 walnut trees were marked as elite, out of 790 trees visited at 18 locations situated at 1500m-1750m above mean sea level. Out of total collections, 49.20% samples have attractive colour influencing the consumer acceptability. Five collections (BS1207, BT1807, MR0309, MR0509 and GL0109) had kernel recovery of >50%. Wide range of variability was recorded for various nut characters being highest in kernel recovery (18.54-61.40%) with highest coefficient of variation. Nut weight was positively correlated with nut size. The total variance in first principal component was due to nut size and weight while, in second component, it was contributed by kernel recovery. Further, analysis based on export quality traits (prescribed by J&K walnut grower association) lead to the identification of 8 most promising walnut clones, viz. BS1207, PK2707, MR0309, MR0509, MR0809, GL0109, PR0309 and NZ0112. Of these, GL0109 proved best in respect of export related traits and can be developed as a good table cultivar

    Detection of mecA gene of methicillin resistant Staphylococcus aureus by PCR assay from raw milk

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    The occurrence of Staphylococcus aureus and MRSA in foods of animal origin, pose a serious threat to the well- being of humans due to innumerable clinical implications. There is a potential risk of transmission of S. aureus and methicillin-resistant Staphylococcus aureus transmission to humans through raw milk if consumed without maintaining adequate hygienic standards. This study was conducted to assess the prevalence of S. aureus and MRSA from raw milk samples vis-à-vis their phenotypic and genotypic characterization for antimicrobial resistance pattern and presence of mecA gene in raw milk samples of cattle, buffalo and goat in the Jammu city of Jammu and Kashmir. Samples (60) were subjected to California mastitis test to check for their mastitic status. The organisms were cultured and identified on the basis of their cultural, morphological, staining and various biochemical characteristics. The amplification of the mecA gene generated a product with a band size of 533bp upon agarose gel electrophoresis. The S. aureus prevalence was 60, 52 and 60% in raw milk of cattle, buffalo and goat, respectively. Out of 34 S. aureus isolates, 44.1% were MRSA positive
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