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Search Results: 1 - 10 of 246 matches for " Shrihari Sridharan "
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The Recurrence Rate and Hausdorff Dimension of a Neighbourhood of some Typical Point in the Julia Set of a Rational Map
Shrihari Sridharan
Mathematics , 2013,
Abstract: In this article, we consider hyperbolic rational maps restricted on thier Julia sets and study about the recurrence rate of typical orbits in arbitrarily small neighbourhoods around them and their relationship to the Hausdorff dimension of such small neighbourhoods.
Spectral triple and Sinai - Ruelle - Bowen measures
Shrihari Sridharan
Mathematics , 2013,
Abstract: In this article, we recover the Sinai - Ruelle - Bowen measure associated to a real-valued H\"{o}lder continuous function defined on the Julia set of a hyperbolic quadratic polynomial, as a noncommutative measure by constructing an appropriate spectral triple.
The dynamics of holomorphic correspondences of P^1: invariant measures and the normality set
Gautam Bharali,Shrihari Sridharan
Mathematics , 2012,
Abstract: This paper is motivated by Brolin's theorem. The phenomenon we wish to demonstrate is as follows: if $F$ is a holomorphic correspondence on $\mathbb{P}^1$, then (under certain conditions) $F$ admits a measure $\mu_F$ such that, for any point $z$ drawn from a "large" open subset of $\mathbb{P}^1$, $\mu_F$ is the weak*-limit of the normalised sums of point masses carried by the pre-images of $z$ under the iterates of $F$. Let ${}^\dagger{F}$ denote the transpose of $F$. Under the condition $d_{top}(F) > d_{top}({}^\dagger{F})$, where $d_{top}$ denotes the topological degree, the above phenomemon was established by Dinh and Sibony. We show that the support of this $\mu_F$ is disjoint from the normality set of $F$. There are many interesting correspondences on $\mathbb{P}^1$ for which $d_{top}(F) \leq d_{top}({}^\dagger{F})$. Examples are the correspondences introduced by Bullett and collaborators. When $d_{top}(F) \leq d_{top}({}^\dagger{F})$, equidistribution cannot be expected to the full extent of Brolin's theorem. However, we prove that when $F$ admits a repeller, the above analogue of equidistribution holds true.
Detection, Identification and Characterization of Staphylococci in Street Vend Foods—Characterization of Staphylococcus Isolates  [PDF]
Rohinishree Yadahalli Shrihari, Pradeep Singh Negi
Food and Nutrition Sciences (FNS) , 2011, DOI: 10.4236/fns.2011.24044
Abstract: In the present investigation the diversity of the Staphylococcus species in different street vend food samples was studied. A total of 35 staphylococcal food isolates comprising of various species from 14 different street vend food samples were identified and characterized phenotypically. Staphylococcus aureus was found to be the most prevalent species in these foods. A PCR-RFLP analysis based on 16S rRNA gene was used for identification of Staphylococcus species. Isolates showing distinct RFLP pattern for AluI restriction digestion were selected for nucleotide sequence analysis. Phylogenetic tree constructed using the multiple alignments of 16S rRNA gene sequences of isolates showed a hotspot region of 169 bp and the relationship among species was evaluated by bootstrap values generated in phylogenetic analysis. 16S rRNA gene sequences allowed bacterial identification that was reproducible and more accurate than that obtained by phenotypic testing. 16S rRNA gene sequence analysis would be helpful in timely and correct identification of pathogens.
Critical Data Delivery Using TOPSIS in Wireless Body Area Networks  [PDF]
K. Suriyakrishnaan, D. Sridharan
Circuits and Systems (CS) , 2016, DOI: 10.4236/cs.2016.76053
Abstract: Technology development in the Wireless Sensor Network (WSN) has paved the way for body area network for remote health monitoring. For this purpose, a message or a data packet should be transmitted from the patient to the medical evaluator without any loss. In this work, Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) algorithm is implemented for Wireless Body Area Networks (WBAN) to deliver the message, based on the criticality of the pa- tient. Finally, we compare the results for both the real-time data and the simulated (random) values in terms of packet-size forwarding for different parameters such as Packet Delivery Ratio (PDR), Delay and Throughput. The result shows better performance in the real time value by using TOPSIS scheme in the WBAN. By improving the quality of service in body area networks, health monitoring system can be automated with good performance.
High Frequency Charging Techniques—Grid Connected Power Generation Using Switched Reluctance Generator  [PDF]
S. Sridharan, S. Sudha
Circuits and Systems (CS) , 2016, DOI: 10.4236/cs.2016.714352
Abstract: Power generation becomes the need of developed, developing and under developed countries to meet their increasing power requirements. When affordability increases their requirement of power increases, this happens when increased per capita consumption. The existing power scenario states that highest power is produced using firing of coals called thermal energy. A high efficiency Switched Reluctance Generator (SRG) based high frequency switching scheme to enhance the output for grid connectivity is designed, fabricated and evaluated. This proposed method generates the output for the low wind speed. It provides output at low speed because of multi-level DC-DC converter and storage system. It is an efficient solution for low wind power generation. The real time readings and results are discussed.
Cavities and Atomic Packing in Protein Structures and Interfaces
Shrihari Sonavane,Pinak Chakrabarti
PLOS Computational Biology , 2008, DOI: 10.1371/journal.pcbi.1000188
Abstract: A comparative analysis of cavities enclosed in a tertiary structure of proteins and interfaces formed by the interaction of two protein subunits in obligate and non-obligate categories (represented by homodimeric molecules and heterocomplexes, respectively) is presented. The total volume of cavities increases with the size of the protein (or the interface), though the exact relationship may vary in different cases. Likewise, for individual cavities also there is quantitative dependence of the volume on the number of atoms (or residues) lining the cavity. The larger cavities tend to be less spherical, solvated, and the interfaces are enriched in these. On average 15 ?3 of cavity volume is found to accommodate single water, with another 40–45 ?3 needed for each additional solvent molecule. Polar atoms/residues have a higher propensity to line solvated cavities. Relative to the frequency of occurrence in the whole structure (or interface), residues in β-strands are found more often lining the cavities, and those in turn and loop the least. Any depression in one chain not complemented by a protrusion in the other results in a cavity in the protein–protein interface. Through the use of the Voronoi volume, the packing of residues involved in protein–protein interaction has been compared to that in the protein interior. For a comparable number of atoms the interface has about twice the number of cavities relative to the tertiary structure.
HYDROGEL IN DRUG DELIVERY
Shriprasad Shrihari Kulkarni
Journal of Global Pharma Technology , 2010, DOI: 10.1234/jgpt.v2i3.99
Abstract: ABSTRACT Hydrogels are hydrophilic, three-dimensional networks, which are able to imbibe large amounts of water or biological fluids, and thus resemble, to a large extent, a biological tissue. They are insoluble due to the presence of chemical and/or physical crosslinks such as entanglements and crystallites. These materials can be synthesized to respond to a number of physiological stimuli present in the body, such as pH, ionic strength and temperature. The goal in designing these systems is to reduce the frequency of dosing or to increase effectiveness of the drug by localization at the site of action, decreasing the dose required or providing uniform drug delivery.
Superlight gravitinos in electron-photon collisions
Shrihari Gopalakrishna,James Wells
Physics , 2001, DOI: 10.1016/S0370-2693(01)01038-3
Abstract: Motivated by recent studies of supersymmetry in higher-dimensional spaces, we discuss the experimental signatures of a superlight gravitino, mass < 0.001 eV. We concentrate on the process (e- gamma -> selectronR gravitino) as a probe of supersymmetry, where a single heavy superpartner and a superlight gravitino are produced. The fact that there is only one heavy superpartner in the final state in this process would require a lower center-of-mass energy for on-shell production compared to conventional pair production. For instance, for a 500 GeV machine, we find that a positive signal will be found if the supersymmetry breaking scale is less than about 2 TeV. If no positive signal is found, this process puts a bound on the supersymmetry breaking scale.
Bootstrap Learning and Visual Processing Management on Mobile Robots
Mohan Sridharan
Advances in Artificial Intelligence , 2010, DOI: 10.1155/2010/765876
Abstract: A central goal of robotics and AI is to enable a team of robots to operate autonomously in the real world and collaborate with humans over an extended period of time. Though developments in sensor technology have resulted in the deployment of robots in specific applications the ability to accurately sense and interact with the environment is still missing. Key challenges to the widespread deployment of robots include the ability to learn models of environmental features based on sensory inputs, bootstrap off of the learned models to detect and adapt to environmental changes, and autonomously tailor the sensory processing to the task at hand. This paper summarizes a comprehensive effort towards such bootstrap learning, adaptation, and processing management using visual input. We describe probabilistic algorithms that enable a mobile robot to autonomously plan its actions to learn models of color distributions and illuminations. The learned models are used to detect and adapt to illumination changes. Furthermore, we describe a probabilistic sequential decision-making approach that autonomously tailors the visual processing to the task at hand. All algorithms are fully implemented and tested on robot platforms in dynamic environments. 1. Introduction An open grand challenge in the field of robotics is to enable widespread deployment of robots in the real world, where they can operate autonomously and collaborate with humans. Addressing this grand challenge would in turn require answers to the following major questions. (i)Autonomous Learning and Adaptation. How to enable a robot to autonomously learn models of environmental features based on sensory input, detect environmental changes, and adapt the learned models in response to such changes?(ii)Processing Management. Given multiple sources of information, which bits of information should be processed, and what processing should be performed in order to achieve a desired goal reliably and efficiently?(iii)Multiagent Coordination. How to enable a team of robots, each with possibly different capabilities and constraints, to collaborate robustly towards a shared objective despite noisy sensing and communication? In this paper, the focus is primarily on developing probabilistic methods for Autonomous Learning and Adaptation, and for Processing Management. We propose probabilistic methods that enable a robot to use sensory inputs to learn environmental models and respond to environmental changes. Furthermore, given multiple sources of information, the robot autonomously tailors the sensory processing to the
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