213 research outputs found
Impact Factor: 2.265 Global
ABSTRACT The third-party administrative control is done in cloud computing which gives rise to security concerns the attacks may happens by data of other users and nodes within the cloud hence, high security measures are required to protect data within the cloud. In this paper we propose (DROPS) Division and Replication of Data in the Cloud for Optimal Performance and Security that will collectivel1y approaches the security and performance issues. Here we divide a file into fragments and replicate the fragmented data over the cloud nodes. The nodes stores only a single fragment of a particular data file that ensures that even in case of a successful attack and so no meaningful information is revealed to the attacker. Furthermore, the traditional cryptographic techniques for the data security is not used by DROP which reduces cost. Then we also compare the performance of the DROPS methodology with ten other schemes for providing higher level of security
FinderNet: A Data Augmentation Free Canonicalization aided Loop Detection and Closure technique for Point clouds in 6-DOF separation
We focus on the problem of LiDAR point cloud based loop detection (or
Finding) and closure (LDC) in a multi-agent setting. State-of-the-art (SOTA)
techniques directly generate learned embeddings of a given point cloud, require
large data transfers, and are not robust to wide variations in 6
Degrees-of-Freedom (DOF) viewpoint. Moreover, absence of strong priors in an
unstructured point cloud leads to highly inaccurate LDC. In this original
approach, we propose independent roll and pitch canonicalization of the point
clouds using a common dominant ground plane. Discretization of the
canonicalized point cloud along the axis perpendicular to the ground plane
leads to an image similar to Digital Elevation Maps (DEMs), which exposes
strong spatial priors in the scene. Our experiments show that LDC based on
learnt embeddings of such DEMs is not only data efficient but also
significantly more robust, and generalizable than the current SOTA. We report
significant performance gain in terms of Average Precision for loop detection
and absolute translation/rotation error for relative pose estimation (or loop
closure) on Kitti, GPR and Oxford Robot Car over multiple SOTA LDC methods. Our
encoder technique allows to compress the original point cloud by over 830
times. To further test the robustness of our technique we create and opensource
a custom dataset called Lidar-UrbanFly Dataset (LUF) which consists of point
clouds obtained from a LiDAR mounted on a quadrotor
Plant growth promoting traits of psychrotolerant bacteria: A boon for agriculture in hilly terrains
Plant growth promoting bacteria (PGPB) are well known to promote plant growth in a number of ways. It is important to study plant growth promoting potential of bacteria capable of growing in extreme environments to establish their role in promoting agricultural yield under harsh conditions. Psychrophilic or psychrotolerant bacteria with plant growth promoting traits may improve the quality of agricultural practices in hilly terrain. The agricultural importance of such microbes stems from the fact that the world over temperate agro-ecosystems are characterized by low temperatures and short growing seasons that subject both plant and microbial life to cold temperature induced stress. Hence, there is a need to identify potential microbes that retain their functional traits under low temperature conditions. Such microbes can be used to enhance the agricultural yields in low temperature areas of the world. This review describes plant growth promoting activities identified in cold adapted bacteria
Rice allelopathy in weed management : an integrated approach
The intensive use of pesticides with low biodegradability and high persistence in soil, surface and ground waters, represents a considerable environmental risk, especially under high weed pressure conditions. Furthermore, the number of herbicide-resistant weeds is increasing. Against this background, the investigation of alternative weed control strategies has taken on considerable importance. Among these, allelopathy as a negative effect of one plant on another due to the direct or indirect (including microorganisms) release of chemicals in the environment can be a useful tool for the integrated management of weeds in agroecosystems. In particular, the paddies have been considered in this work by reviewing the data both on rice allelopathy and rice weed agronomic control methods developed to improve the crop yield
Reported exposure to SARS-CoV-2 and relative perceived importance of different settings for SARS-CoV-2 acquisition in England and Wales: Analysis of the Virus Watch Community Cohort [version 1; peer review: awaiting peer review]
We aimed to assess the relative importance of different settings for
SARS-CoV-2 transmission in a large community cohort based on
perceived location of infection for self-reported confirmed SARS-COV-2
cases. We demonstrate the importance of home, work and education
as perceived venues for transmission. In children, education was most
important and in older adults essential shopping was of high
importance. Our findings support public health messaging about
infection control at home, advice on working from home and
restrictions in different venues
Household overcrowding and risk of SARS-CoV-2: analysis of the Virus Watch prospective community cohort study in England and Wales
Background: Household overcrowding is associated with increased risk of infectious diseases across contexts and countries. Limited data exist linking household overcrowding and risk of COVID-19. We used data collected from the Virus Watch cohort to examine the association between overcrowded households and SARS-CoV-2. // Methods: The Virus Watch study is a household community cohort of acute respiratory infections in England and Wales. We calculated overcrowding using the measure of persons per room for each household. We considered two primary outcomes: PCR-confirmed positive SARS-CoV-2 antigen tests and laboratory-confirmed SARS-CoV-2 antibodies. We used mixed-effects logistic regression models that accounted for household structure to estimate the association between household overcrowding and SARS-CoV-2 infection. // Results: 26,367 participants were included in our analyses. The proportion of participants with a positive SARS-CoV-2 PCR result was highest in the overcrowded group (9.0%; 99/1,100) and lowest in the under-occupied group (4.2%; 980/23,196). In a mixed-effects logistic regression model, we found strong evidence of an increased odds of a positive PCR SARS-CoV-2 antigen result (odds ratio 2.45; 95% CI:1.43–4.19; p-value=0.001) and increased odds of a positive SARS-CoV-2 antibody result in individuals living in overcrowded houses (3.32; 95% CI:1.54–7.15; p-value<0.001) compared with people living in under-occupied houses. // Conclusion: Public health interventions to prevent and stop the spread of SARS-CoV-2 should consider the risk of infection for people living in overcrowded households and pay greater attention to reducing household transmission
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