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Search Results: 1 - 10 of 12665 matches for " Ram Chilukuri "
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Particle Swarm Optimization Based Approach for Resource Allocation and Scheduling in OFDMA Systems  [PDF]
Chilukuri Kalyana Chakravarthy, Prasad Reddy
Int'l J. of Communications, Network and System Sciences (IJCNS) , 2010, DOI: 10.4236/ijcns.2010.35062
Abstract: Orthogonal Frequency-Division Multiple Access (OFDMA) systems have attracted considerable attention through technologies such as 3GPP Long Term Evolution (LTE) and Worldwide Interoperability for Microwave Access (WiMAX). OFDMA is a flexible multiple-access technique that can accommodate many users with widely varying applications, data rates, and Quality of Service (QoS) requirements. OFDMA has the advantages of handling lower data rates and bursty traffic at a reduced power compared to single-user OFDM or its Time Division Multiple Access (TDMA) or Carrier Sense Multiple Access (CSMA) counterparts. In our work, we propose a Particle Swarm Optimization based resource allocation and scheduling scheme (PSORAS) with improved quality of service for OFDMA Systems. Simulation results indicate a clear reduction in delay compared to the Frequency Division Multiple Access (FDMA) scheme for resource allocation, at almost the same throughput and fairness. This makes our scheme absolutely suitable for handling real time traffic such real time video-on demand.
Power Supply Quality Analysis Using S-Transform and SVM Classifier  [PDF]
Jiaqi Li, M. V. Chilukuri
Journal of Power and Energy Engineering (JPEE) , 2014, DOI: 10.4236/jpee.2014.24059
Abstract: In this paper, a SVM classifier based on S-Transform is presented for power quality disturbances classification. Firstly, seven types of PQ events are created using Matlab simulation. These signals are analyzed to detect and localize PQ events via S-Transform by visual inspection. Then five significant features of the PQ disturbances are extracted from the S-Transform output. Afterwards, PQ disturbance samples with the five features are fed to SVM for training and automatic classification. Besides, particle swarm optimization is implemented to improve the performance of SVM. The results of the classification indicate that SVM classifier is an effective mechanism to detect and classify power quality disturbances.
The caCORE Software Development Kit: Streamlining construction of interoperable biomedical information services
Joshua Phillips, Ram Chilukuri, Gilberto Fragoso, Denise Warzel, Peter A Covitz
BMC Medical Informatics and Decision Making , 2006, DOI: 10.1186/1472-6947-6-2
Abstract: The caCORE SDK requires a Unified Modeling Language (UML) tool to begin the development workflow with the construction of a domain information model in the form of a UML Class Diagram. Models are annotated with concepts and definitions from a description logic terminology source using the Semantic Connector component. The annotated model is registered in the Cancer Data Standards Repository (caDSR) using the UML Loader component. System software is automatically generated using the Codegen component, which produces middleware that runs on an application server. The caCORE SDK was initially tested and validated using a seven-class UML model, and has been used to generate the caCORE production system, which includes models with dozens of classes. The deployed system supports access through object-oriented APIs with consistent syntax for retrieval of any type of data object across all classes in the original UML model. The caCORE SDK is currently being used by several development teams, including by participants in the cancer biomedical informatics grid (caBIG) program, to create compatible data services. caBIG compatibility standards are based upon caCORE resources, and thus the caCORE SDK has emerged as a key enabling technology for caBIG.The caCORE SDK substantially lowers the barrier to implementing systems that are syntactically and semantically interoperable by providing workflow and automation tools that standardize and expedite modeling, development, and deployment. It has gained acceptance among developers in the caBIG program, and is expected to provide a common mechanism for creating data service nodes on the data grid that is under development.caCORE is a framework for creating syntactically and semantically interoperable biomedical information services [1]. Systems developed using the caCORE methodology use the same approach to defining, registering, and adopting data and representation standards. Clients of those systems can therefore draw upon multiple s
The cancer translational research informatics platform
Patrick McConnell, Rajesh C Dash, Ram Chilukuri, Ricardo Pietrobon, Kimberly Johnson, Robert Annechiarico, A Jamie Cuticchia
BMC Medical Informatics and Decision Making , 2008, DOI: 10.1186/1472-6947-8-60
Abstract: caTRIP has been developed as an N-tier architecture, with three primary tiers: domain services, the distributed query engine, and the graphical user interface, primarily making use of the caGrid infrastructure to ensure compatibility with other tools currently developed by caBIG. The application interface was designed so that users can construct queries using either the Simple Interface via drop-down menus or the Advanced Interface for more sophisticated searching strategies to using drag-and-drop. Furthermore, the application addresses the security concerns of authentication, authorization, and delegation, as well as an automated honest broker service for deidentifying data.Currently being deployed at Duke University and a few other centers, we expect that caTRIP will make a significant contribution to further the development of translational research through the facilitation of its data exchange and storage processes.In order to have an impact in society, discoveries in cancer research need to be translated into knowledge that can be directly applied to treatment and prevention. These discoveries usually start within the basic sciences, from experiments developed at the molecular level, slowly progressing to clinical research. Although this translational process is at the very basis of our ability to generate new biomedical knowledge, to date few tools have been developed to successfully link the basic and clinical science fields in a way that researchers from both arenas can easily make connections. More specifically, cancer research would benefit from the development of applications that can aggregate clinical and molecular data in a repository that is user-friendly, easily accessible, as well as compliant with regulatory requirements of privacy and security.In alignment with the requirements outlined above, the Duke Comprehensive Cancer Center (DCCC), in collaboration with SemanticBits LLC, has developed the Cancer Translational Research Informatics Platform (c
The CAP cancer protocols – a case study of caCORE based data standards implementation to integrate with the Cancer Biomedical Informatics Grid
Jonathan Tobias, Ram Chilukuri, George A Komatsoulis, Sambit Mohanty, Nicholas Sioutos, Denise B Warzel, Lawrence W Wright, Rebecca S Crowley
BMC Medical Informatics and Decision Making , 2006, DOI: 10.1186/1472-6947-6-25
Abstract: In this manuscript, we provide a case study of Cancer Common Ontologic Representation Environment (caCORE) data standard implementation of the CAP cancer protocols and checklists model – an existing and complex paper based standard. We illustrate the basic principles, goals and methodology for developing caBIG? models.Using this example, we describe the process required to develop the model, the technologies and data standards on which the process and models are based, and the results of the modeling effort. We address difficulties we encountered and modifications to caCORE that will address these problems. In addition, we describe four ongoing development projects that will use the emerging CAP data standards to achieve integration of tissue banking and laboratory information systems.The CAP cancer checklists can be used as the basis for an electronic data standard in pathology using the caBIG? semantic modeling methodology.The Cancer Biomedical Informatics Grid (caBIG?) [1,2] is a voluntary association or Grid dedicated to creating an interoperable network of data and analytical services that benefits the cancer research community. Currently, there are over 800 participants in caBIG? from a variety of institutions including National Cancer Institute (NCI) funded cancer centers, universities, government, the commercial sector and patient advocacy groups. The program is funded by the NCI.The NCI chose to conduct the three-year caBIG? pilot to determine how to integrate multiple heterogeneous data sets and analytical resources to help answer complex biomedical questions. Traditionally, development of biomedical data systems that support integration of multiple data types has required the creation of large, complex, highly centralized information systems. Such systems tend to be fragile, expensive, and inflexible in response to new data or analytical methods that are developed within the biomedical research community. Thus, caBIG? will help create the technology and t
A Novel Validated Stability Indicative UP-LC Method for Etravirine for the Determination of Process Related and Degradation Impurities  [PDF]
Mohanareddy Chilukuri, Katreddi H. Reddy, Papadasu Narayanareddy, Madireddi Venkataramana
American Journal of Analytical Chemistry (AJAC) , 2012, DOI: 10.4236/ajac.2012.312111
Abstract: A novel stability indicating reverse phase ultra performance liquid chromatographic (UP-LC) method has been developed for Etravirine along with eight impurities (imp-1, imp-2, imp-3, imp-4, imp-5, imp-6, imp-7 and imp-8) and validated as per ICH recommendations. Stress degradation conditions were established for Etravirine by subjecting it to stress conditions of acid, base, oxidation, humidity, thermal and photolysis. Significant degradation is observed in base stress condition and the major degradant (RRT at about 0.94) is identified by LC-MS and spectral analysis. The stress samples were assayed against a qualified reference standard and the mass balance was found close to 99.0%. Efficient chromatographic separation was achieved on a Shimpack ODS-II stationary phase with a gradient mobile phase combination. Quantification was carried at 303 nm at a flow rate of 0.6 mL?min–1. The resolution between Etravirine and eight potential impurities is found to be greater than 2.0. Regression analysis shows as r value (correlation coefficient) of greater than 0.999 for Etravirine and eight potential impurities. This method is capable to detect the impurities of Etravirine at a level of 0.003% with respect to test concentration of 1.0 mg·mL–1.
Senescence Marker Protein 30 (SMP30) Expression in Eukaryotic Cells: Existence of Multiple Species and Membrane Localization
Peethambaran Arun,Vineela Aleti,Kalpana Parikh,Veeraswamy Manne,Nageswararao Chilukuri
PLOS ONE , 2012, DOI: 10.1371/journal.pone.0016545
Abstract: Senescence marker protein (SMP30), also known as regucalcin, is a 34 kDa cytosolic marker protein of aging which plays an important role in intracellular Ca2+ homeostasis, ascorbic acid biosynthesis, oxidative stress, and detoxification of chemical warfare nerve agents. In our goal to investigate the activity of SMP30 for the detoxification of nerve agents, we have produced a recombinant adenovirus expressing human SMP30 as a fusion protein with a hemaglutinin tag (Ad-SMP30-HA). Ad-SMP30-HA transduced the expression of SMP30-HA and two additional forms of SMP30 with molecular sizes ~28 kDa and 24 kDa in HEK-293A and C3A liver cells in a dose and time-dependent manner. Intravenous administration of Ad-SMP30-HA in mice results in the expression of all the three forms of SMP30 in the liver and diaphragm. LC-MS/MS results confirmed that the lower molecular weight 28 kDa and 24 kDa proteins are related to the 34 kDa SMP30. The 28 kDa and 24 kDa SMP30 forms were also detected in normal rat liver and mice injected with Ad-SMP30-HA suggesting that SMP30 does exist in multiple forms under physiological conditions. Time course experiments in both cell lines suggest that the 28 kDa and 24 kDa SMP30 forms are likely generated from the 34 kDa SMP30. Interestingly, the 28 kDa and 24 kDa SMP30 forms appeared initially in the cytosol and shifted to the particulate fraction. Studies using small molecule inhibitors of proteolytic pathways revealed the potential involvement of β and γ-secretases but not calpains, lysosomal proteases, proteasome and caspases. This is the first report describing the existence of multiple forms of SMP30, their preferential distribution to membranes and their generation through proteolysis possibly mediated by secretase enzymes.
Simulation Studies On An Energy Efficient Multipath Routing Protocol Using Directional Antennas For Manets
Sandhya Chilukuri,Rinki Sharma,Deepali. R. Borade,Govind R. Kadambi
International Journal of Wireless & Mobile Networks , 2012,
Abstract: The paper proposes the development of an energy efficient multipath routing protocol with directional antenna for MANET as an optimization task as well as a multidisciplinary entity. A comprehensive analysis to link all the multi-disciplinary viewpoints involved in the development of desired multipath routing protocol with requisite technical details is presented in this paper. A simple and elegant mathematical formulation for the analysis of relative improvement of the performance metrics of ad-hocnetworks with omnidirectional and directional antenna is presented. Through extensive numerical simulations, the multi-dimensional desirable performance attributes of wireless link such as improvedrange, improved RSS, reduced RF transmit power and consequent reduced consumption of battery power have been analyzed keeping the directional gain of the antenna as a variable parameter. Development or modification of a protocol with concurrent focus on multipath routing with optimization of the batteryenergy is a significant step to increase the life time of MANET without recharging. Selection of the energy efficient path amongst several alternative ones is of paramount significance in the evaluation of overall performance of MANET system. A formulation to compute the required Battery Energy taking into account the data pertaining to the power efficiency of the associated transceiver design as well as the specified link performance parameters is also discussed. Through a case study involving the specifications of a typical transceiver operating in the 2.4 GHz band, the desirable impact of higher gain of a directional antenna in the reduction of RF transmitter power is illustrated. The consequential reduced battery power consumption while still retaining the specified performance parameters of the adhoc network like range and Received Signal Strength (RSS) is also demonstrated. This paper also addresses the importance of alignment of beam peaks of directional antennas of a link and the quantification of additional RF power in lieu of Beam Pointing Angle (BPA) error in ad-hoc network. The profile of improved range with directional gain as an independent variable exhibits much sharper feature than an exponential function. The relationship between improvement in the RSS and higher directional gain bears linear characteristics and typical results reveal that for a dB increase in gain ratio, thecorresponding improvement in RSS is 2 dBm. Results of Proposed Routing protocol simulations with builtin hop count reduction feature reveal energy saving of 62.11% for a typical M
Protective Effects of Recombinant Kunitz-Domain 1 of Human Tissue Factor Pathway Inhibitor-2 Against 2-Chloroethyl Ethyl Sulfide Toxicity In Vitro
Moonsuk S. Choi,Kalpana Parikh,Ashima Saxena,Nageswararao Chilukuri
ePlasty: Open Access Journal of Plastic and Reconstructive Surgery , 2008,
Abstract: Objective: Sulfur mustard is a well-known blistering chemical warfare agent that has been investigated for its toxicological mechanisms and an efficacious antidote. Since sulfur mustard injury involves dermal:epidermal separation, proteolytic enzymes were suspected to be involved for this separation and eventual blister development. Therefore, protease inhibitors could be of therapeutic utility against sulfur mustard injury. In this study, the effects of Kunitz-domain 1 of human tissue factor pathway inhibitor-2 were evaluated against the toxic effects of 2-chloroethyl ethyl sulfide, a surrogate agent of sulfur mustard. Tissue factor pathway inhibitor-2 is a 32-kDa serine protease inhibitor produced by a variety of cell types including human epidermal keratinocytes, fibroblasts, and endothelial cells. It consists of 3 Kunitz-domains and the first Kunitz-domain contains the putative P1 residue (arginine at position 24) responsible for protease inhibitory activity. Methods: Recombinant wild-type and R24Q mutant Kunitz-domain 1s were expressed in Escherichia coli and purified. The purified proteins were refolded, and their effects were tested in an in vitro human epidermal keratinocyte cell wounding assay. Results: Wild-type but not R24Q Kunitz-domain 1 inhibited the amidolytic activity of trypsin and plasmin. Wild-type Kunitz-domain1 was stable for 4 weeks at 42°C and for more than 8 weeks at room temperature. Wild-type Kunitz-domain 1 significantly improved wound healing of unexposed and 2-chloroethyl ethyl sulfide–exposed cells without influencing cell proliferation. Although R24Q Kunitz-domain 1 lacked trypsin and plasmin inhibitory activity, it promoted wound closure of untreated and 2-chloroethyl ethyl sulfide–treated cells but to a much lesser degree. Conclusion: These data suggest that wild-type Kunitz-domain 1 of human tissue factor pathway inhibitor-2 can be developed as a medical countermeasure against sulfur mustard cutaneous injury.
First Principle Molecular Computational Study of Peptide Models and Point Mutations
Michael R. Chong,Nymisha Chilukuri,Heeyeon C. Song,Wonyoung J. Kye
University of Toronto Journal of Undergraduate Life Sciences , 2010,
Abstract: The fundamentals of peptide structure, such as hydrogen bonding and disulfide bridge formation were explored in the present first principle computational investigation along with point mutations. In this study, the consequences of changing the elements of molecular axis chirality in peptide dimerization have been analyzed by observing the interactions between the carboxyl-carboxyl hydrogen bonding between two free glycines. To further the appreciation of dimerizations, a model was built to study cystine. Cystine is formed when a disulfide bridge is formed between two cysteine residues. These dimerizations are known to help stabilize the secondary, tertiary and sometimes quaternary structure of the protein. Taking such observations into account, in order to understand biological phenomena in a first quantum mechanics sense, two models were built for point mutations. A substitution study of penta-alanine peptide model with subsequent replacement of central alanine by the other 19 amino acid residues, as well as a model of tri-peptide Pro-Glu-Glu to Pro-Val-Glu was analyzed. It should be noted that the later point mutation is particularly present in Sickle Cell ?-globin at the sixth position in the primary amino acid sequence. All calculations were done by first principle quantum mechanics using Hartree-Fock and DFT theory at 3-21G basis sets. The underlying objective of the present computational study was the geometry optimization of the peptide models for future study involving reaction mechanisms.
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