Performance Evaluation of Computation Intensive Tasks in Grid

Grid computing is a special type of parallel computing, which allows us to unite pools of servers, storage systems, and networks into a single large virtual super computer. Grid computing has the advantages of solving complex problems in a shorter time and also makes better use of the existing hardware. It can take advantage of underutilized resources to meet business requirements while minimizing additional costs. There are many Grid setup tools available. In this paper, Globus Toolkit, an open source tool for grid enabled applications, is considered. Initially grid is established between two systems running Linux, using Globus Toolkit. A simple matrix multiplication program, which is capable of running both in grid and stand alone systems, is developed. The application is executed in single system varying the order of the matrices. The same application is split into two sub jobs and run on two grid machines with different orders. Finally the results of the execution are compares and the results are presented in graphs. The work can be extended further to find the type of parallelizing suitable for the application developed. Similarly, FP tree algorithm is taken and the data sets are fed into different machine and in stand alone system. A suitable load balancing mechanism for grid application is discussed. The sections in the paper are arranged as following; Introduction to Grid, Grid setup using Globus toolkit, splitting of the matrix application, FP tree algorithm, performance results, future works, conclusion and references

New horizons for fisheries research

The acute shortage of animal protein in the diet of a vast majority of the people of India has been the major contributing factor for the general nutritional deficiency. Fish constitute an important and plentiful source of such high quality animal protein in our country. The per capita consumption of fish is, however, es'timated at about 2.6 kg/year which is only one-tenth of that in some of the advanced countries. India produces now about 15 lakh tonnes of fish and a luodest target of 20 lakh tonnes annually has been set for the Fourth Five year Plan

Identification of chemerin receptor (ChemR23) in human endothelial cells: chemerin-induced endothelial angiogenesis

Chemerin acting via its distinct G protein-coupled receptor CMKLR1 (ChemR23), is a novel adipokine, circulating levels of which are raised in inflammatory states. Chemerin shows strong correlation with various facets of the metabolic syndrome; these states are associated with an increased incidence of cardiovascular disease (CVD) and dysregulated angiogenesis. We therefore, investigated the regulation of ChemR23 by pro-inflammatory cytokines and assessed the angiogenic potential of chemerin in human endothelial cells (EC). We have demonstrated the novel presence of ChemR23 in human ECs and its significant up-regulation (P < 0.001) by pro-inflammatory cytokines, TNF-α, IL-1β and IL-6. More importantly, chemerin was potently angiogenic, as assessed by conducting functional in-vitro angiogenic assays; chemerin also dose-dependently induced gelatinolytic (MMP-2 & MMP-9) activity of ECs (P < 0.001). Furthermore, chemerin dose-dependently activated PI3K/Akt and MAPKs pathways (P < 0.01), key angiogenic and cell survival cascades. Our data provide the first evidence of chemerin-induced endothelial angiogenesis and MMP production and activity

Extension of Ruiz Criterion for Evaluation of 3-D Fretting Fatigue Damage Parameter

AbstractFretting fatigue is an important consideration in the design and optimization of mechanical systems and assemblies in the recent times. Empirical approaches, multi-axial fatigue considerations and fracture mechanics approaches are considered for assessing fretting fatigue damages at contact interfaces of assemblies. Ruiz criteria is an effective empirical approach for evaluation of Fretting Fatigue Damage Parameter (FFDP) and has been demonstrated in two dimensional fretting studies of a typical dovetail interface problem. The current paper considers the extension of Ruiz criterion for assessing fretting fatigue damage parameter for three dimensional problems. Two approaches viz. summation of FFDP computed independently along the two slip directions and combined maximum principal-shear stress approach have been proposed for the FFDP evaluation, considering three dimensional stress and slip components over contact interface. FFDP evaluation using maximum principal-shear stress approach is observed to be more appropriate for three dimensional problem

Bayesian learning scheme for sparse DOA estimation based on maximum-a-posteriori of hyperparameters

In this paper, the problem of direction of arrival estimation is addressed by employing Bayesian learning technique in sparse domain. This paper deals with the inference of sparse Bayesian learning (SBL) for both single measurement vector (SMV) and multiple measurement vector (MMV) and its applicability to estimate the arriving signal’s direction at the receiving antenna array; particularly considered to be a uniform linear array. We also derive the hyperparameter updating equations by maximizing the posterior of hyperparameters and exhibit the results for nonzero hyperprior scalars. The results presented in this paper, shows that the resolution and speed of the proposed algorithm is comparatively improved with almost zero failure rate and minimum mean square error of signal’s direction estimate

A Review on Fuzzy-GA based Controller for Power Flow Control in Grid Connected PV System

Now-a-days Renewable Energy Sources became an alternative to meet the increasing load demand because they are environmental friendly and also available abundant in nature. Among the Renewable Energy Sources, the Photo Voltaic (PV) System is gaining more attention due abundant availability of solar energy. The Maximum Power Point Tracking Technique is used to extract maximum power from the Photo Voltaic (PV) Array. When there is a need to transfer bulk amount of power from PV Array to Power Grid, the power quality issues, especially the real and reactive power flow problems, are a major concern. In this paper a novel control technique was proposed to control the power flow and to deal with power quality issues that arise when PV Array is integrated with power grid. It consists of a Fuzzy-GA based Cascaded Controller fed Flexible AC Transmission System device, namely Unified Power Flow Controller, for effective control of real and reactive power flow in grid connected photovoltaic system. The output of the Fuzzy Logic Controller is a control vector which is fine tuned by using Genetic Algorithm approach

Study for Design of Magneto Rheological Damper

Semi-active isolation system have received attention over the active and passive isolation system for vibration, mitigation of vibration in industrial application is the essential development. Magneto rheological damper quick response to sudden maneuvers with less power consumption leads to many research and design of MR damper for different design parameters and variable current input, in this present work designed a MR damper with all the requisite design parameter information compiled from earlier work., number of coils required to generate the effective magnetic flux field has been calculated to design the magneto rheological damper and to arrive maximum magnetic flux density vs dc current with proper proportion percentage of ferrite particles in MR fluid which further leads to calculate shear stress and damper force can produce by the designed MR damper at variable current input