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Search Results: 1 - 10 of 8158 matches for " Ankit Sharma "
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Bacterial Surface Layer Proteins: From Moonlighting to Biomimetics: A New Horizonto Lead  [PDF]
Nimisha Gaur, Ankit Sharma, Barkha Singhal
Advances in Bioscience and Biotechnology (ABB) , 2018, DOI: 10.4236/abb.2018.98023
Abstract: The landmark discovery of moonlighting proteins embarks the significant progress in understanding the biological complexity and their closed-circuit analysis. The growing continuum in the variety of moonlighting functions paved the way for further elucidation of structural-functional aspects of protein evolution and design of proteins with novel functions. Currently, the moonlighting functions in various adhesive properties of surface layer proteins, an essential component of cell surface architecture of archaea and all phylogenetic groups of eubacteria become more prominently recognized. The remarkable credentials of surface layer proteins to self-assemble into supramolecular structures at nano-scale dimension have been exploited for the production of smart biomaterials in the form of biomimetics has been thrust area of research. The finely tuned topological features in terms of shape, size, geometry and surface chemistry of surface layer proteins are crucial for the production of biomimetics. The current developments of biomimetic lipid bilayers and composite membranes find applicability in understanding the functional dynamism of evolutionary relationship of bacterial cell envelopes and vaccine development, drug development and drug delivery. Though the development of biomimetics embraces fascination but faces with technological challenges. The plethora of literature has been available for the moonlighting aspects and nano-technological applications separately but none of the review describes towards the rhythmic transition from moonlighting functions of surface layer proteins of bacteria to biomimetics development and applications. Therefore, this review describes certain basic aspects of moonlighting functions and their mechanism of action, surface layer proteins and their moonlighting functions of commensal bacteria and their transition towards biomimetics. The recent developments of biomimetics based on surface layer proteins have been summarized and also posited different challenges and future prospects.
Object Detection In Image Using Particle Swarm Optimization
Ankit Sharma,,Nirbhowjap Singh
International Journal of Engineering and Technology , 2010,
Abstract: Image matching is a key component in almost any image analysis process. Image matching is crucial to a wide range of applications, such as in navigation, guidance, automatic surveillance, robot vision, and in mapping sciences. Any automated system for three-dimensional point positioning must include a potent procedure for image matching. Most biological vision systems have the talent to cope with changing world. Computer vision systems have developed in the same way. For a computer vision system, the ability to cope withmoving and changing objects, changing illumination, and changing viewpoints is essential to perform several tasks. Object detection is necessary for surveillance applications, for guidance of autonomous vehicles, for efficient video compression, for smart tracking of moving objects, for automatic target recognition (ATR) systems and for many other applications. Cross-correlation and related techniqueshave dominated the field since the early fifties. Conventional template matching algorithm based on cross-correlation requires complex calculation and large time for object detection, which makes difficult to use them in real time applications. The shortcomings of this class of image matching methods have caused a slow-down in the development of operational automated correlation systems. In the proposed work particle swarm optimization & its variants basedalgorithm is used for detection of object in image. Implementation of this algorithm reduces the time required for object detection than conventional template matching algorithm. Algorithm can detect object in less number of iteration & hence less time & energy than the complexity of conventional template matching. This feature makes the method capable for real time implementation. In this thesis a study of particle Swarm optimization algorithm is done & then formulation of the algorithm for object detection using PSO & its variants is implemented for validating its effectiveness.
Object Detection In Image Using Predator-Prey Optimization
Ankit Sharma,Nirbhowjap Singh
Signal & Image Processing , 2011,
Abstract: Image matching is a key component in almost any image analysis process. Image matching iscrucial to a wide range of applications, such as in navigation, guidance, automatic surveillance, robotvision, and in mapping sciences. Any automated system for three-dimensional point positioning mustinclude a potent procedure for image matching. Most biological vision systems have the talent to cope withchanging world. Computer vision systems have developed in the same way. For a computer vision system,the ability to cope with moving and changing objects, changing illumination, and changing viewpoints isessential to perform several tasks. Object detection is necessary for surveillance applications, for guidanceof autonomous vehicles, for efficient video compression, for smart tracking of moving objects, forautomatic target recognition (ATR) systems and for many other applications. Cross-correlation and relatedtechniques have dominated the field since the early fifties. Conventional template matching algorithmbased on cross-correlation requires complex calculation and large time for object detection, which makesdifficult to use them in real time applications. The shortcomings of this class of image matching methodshave caused a slow-down in the development of operational automated correlation systems. In theproposed work particle swarm optimization & its variants based algorithm is used for detection of object inimage. Implementation of this algorithm reduces the time required for object detection than conventionaltemplate matching algorithm. Algorithm can detect object in less number of iteration & hence less time &energy than the complexity of conventional template matching. This feature makes the method capable forreal time implementation. In this paper a description of particle Swarm optimization algorithm is given &then formulation of the algorithm for object detection using PSO & its variants is implemented forvalidating its effectiveness.
An O(log(n)) Fully Dynamic Algorithm for Maximum matching in a tree
Manoj Gupta,Ankit Sharma
Computer Science , 2009,
Abstract: In this paper, we have developed a fully-dynamic algorithm for maintaining cardinality of maximum-matching in a tree using the construction of top-trees. The time complexities are as follows: 1. Initialization Time: $O(n(log(n)))$ to build the Top-tree. 2. Update Time: $O(log(n))$ 3. Query Time: O(1) to query the cardinality of maximum-matching and $O(log(n))$ to find if a particular edge is matched.
ECG based biometrics verification system using LabVIEW
Sunil Kumar Singla,Ankit Sharma
Songklanakarin Journal of Science and Technology , 2010,
Abstract: Biometric based authentication systems provide solutions to the problems in high security which remain with conventionalsecurity systems. In a biometric verification system, human’s biological parameters (such as voice, finger print,palm print or hand geometry, face, iris etc.) are used to verify the authenticity of a person. These parameters are good to beused as biometric parameters but do not provide the guarantee that the person is present and alive. As voice can be copied,finger print can be picked from glass on synthetic skin and in face recognition system due to genetic factors identical twinsor father-son may have the same facial appearance. ECG does not have these problems. It can not be recorded without theknowledge of the person and ECG of every person is unique even identical twins have different ECG. In this paper an ECGbasedbiometrics verification system which was developed using Laboratory Virtual Instruments Engineering Workbench(LabVIEW) version 7.1 is discussed. Experiments were conducted on the database stored in the laboratory of 20 individualshaving 10 samples each and the results revealed a false rejection rate (FRR) of 3% and false acceptance rate (FAR) of 3.21%.
Advancement in solar PV Inverter
Devendra Doda,Ankit Kumar Sharma
International Journal of Electronics and Computer Science Engineering , 2012,
Abstract: This teardown article will delve into the architectural design and components of a solar inverter card starting from the Solar panel DC inputs and working through the DC to AC conversion process to the AC output that is sent out to the power grid. Features needed to be implemented into such a design to meet various safety and other performance standards as well as stringent power company demands upon the signal that is put onto their grid will be shown. In the process, major elements and component choices made in the design of the series of solar inverters, from the EMI suppression capacitors with a special emphasis on isolation and protection, through the smart use of optically isolated MOSFETgatedrivers.
Multiway Cut, Pairwise Realizable Distributions, and Descending Thresholds
Ankit Sharma,Jan Vondrák
Computer Science , 2013,
Abstract: We design new approximation algorithms for the Multiway Cut problem, improving the previously known factor of 1.32388 [Buchbinder et al., 2013]. We proceed in three steps. First, we analyze the rounding scheme of Buchbinder et al., 2013 and design a modification that improves the approximation to (3+sqrt(5))/4 (approximately 1.309017). We also present a tight example showing that this is the best approximation one can achieve with the type of cuts considered by Buchbinder et al., 2013: (1) partitioning by exponential clocks, and (2) single-coordinate cuts with equal thresholds. Then, we prove that this factor can be improved by introducing a new rounding scheme: (3) single-coordinate cuts with descending thresholds. By combining these three schemes, we design an algorithm that achieves a factor of (10 + 4 sqrt(3))/13 (approximately 1.30217). This is the best approximation factor that we are able to verify by hand. Finally, we show that by combining these three rounding schemes with the scheme of independent thresholds from Karger et al., 2004, the approximation factor can be further improved to 1.2965. This approximation factor has been verified only by computer.
In Vitro Studies on Sida Cordifolia Linn for Anthelmintic and Antioxidant Properties  [PDF]
Rajesh Singh Pawar, Ankit Jain, Preeti Sharma, Pradeep Kumar Chaurasiya, Pradeep Kumar Singour
Chinese Medicine (CM) , 2011, DOI: 10.4236/cm.2011.22009
Abstract: The present study was undertaken to evaluate in-vitro antioxidant and anthelmintic activity of ethanolic and aqueous extract from whole plant Sida cordifolia Linn (Malvaceae). The antioxidant activities are evaluated by various antioxidant assays like α, α-Diphenyl-β-picrylhydrazyl (DPPH) free radical scavenging, total reducing power, nitric oxide scavenging and hydrogen peroxide scavenging. The various antioxidant activities were compared to standard antioxidants such as ascorbic acid. The antioxidant activity of ethanolic extract is almost quantitatively equivalent to that of the standards used, ascorbic acid. The further anthelmintic activity of whole plant is investigated through using Indian earthworm (Pheretima posthuma) showed that it is one of the most important local medicinal plants both for ritual and ethnomedical practices. Various concentrations of ethanol and aqueous extract (10, 20, 30, 40 mg/ml) of whole plant of Sida cordifolia Linn were tested in the bioassay, which involve determination of time of paralysis of the worms. Albendazole was included as reference standard. The most activity was observed with aqueous extract as compared to standard drug. The results from the above studies indicate that plant Sida cordifolia Linn. possesses potent antioxidant and anthelmintic activity.
Heavy Metal Contamination of Tree Leaves  [PDF]
Khageshwar Singh Patel, Reetu Sharma, Nohar Singh Dahariya, Ankit Yadav, Borislav Blazhev, Laurent Matini, Jon Hoinkis
American Journal of Analytical Chemistry (AJAC) , 2015, DOI: 10.4236/ajac.2015.68066
Abstract: The study of heavy metal (HMs) contamination of environment is of great interest due to their serious health hazard. In this work, the contamination of tree leaves with the HMs in the most polluted industrial city, Korba, India is described. The leaves of common trees i.e. Azadirachta indica, Butea monosperma, Eucalyptus, Ficus religiosa, Mangifera indica and Tectona grandis were selected for assessment of the HMs contamination as bioindicator. The elevated concentration of HMs (i.e. As, Fe, Cr, Mn, Cu, Zn, Cd, Pb and Hg) in the tree leaves was observed, ranging from 2.8 - 43, 728 - 5182, 8.6 - 49, 48 - 1196, 43 - 406, 79 - 360, 1.12 - 1.65, 1.6 - 16.4 and 0.13 - 0.76 mg/kg, respectively. The concentration, enrichment and sources of the HMs in the leaves are described. Azadirachta indica leaves, accumulating higher concentration of the HMs, showed a higher efficiency as bioindicator for the urban pollution.
Exposure of Fluoride in Coal Basin  [PDF]
Khageshwar Singh Patel, Ankit Yadav, Keshaw Prakash Rajhans, Shobhana Ramteke, Reetu Sharma, Irena Wysocka, Irena Jaron
International Journal of Clean Coal and Energy (IJCCE) , 2016, DOI: 10.4236/ijcce.2016.51001
Abstract: Coal is a dirty fuel contaminated with F- and other elements. Several million tons of coal are burnt in Korba basin, central India to generate electricity with pouring fluorine and other elements into the environment. The water is contaminated with F- and other chemicals beyond the permissible limits. The contaminated water is consumed by the human and animals by excreting the balanced toxicants through the stool and urine. Several folds higher concentration of F- in urine (44 mg/L) and stool (266 mg/kg) samples of the cattle are observed. The prevalence of fluorosis diseases in cattle of the Korba basin is reported.
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