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Natarajan K.,Kongu Engineering College | Subramanian S.,Kongu Arts and Science College
Journal of Computer Science | Year: 2014

This study presents the Priority based ranking of jobs and resources to improve the Makespan in the grid scheduling problem. Grid environment's effectiveness largely depends on scheduler's effectiveness/efficiency as they act as local resource brokers. The scheduler is responsible to select resources/scheduling jobs so that users/application requirements are met regarding overall execution time (throughput) and the resources use cost. The scheduler selects resources that suit user imposed constraints/conditions like CPU usage, RAM available/disk storage. Resource/Jobs are selected using WPR algorithm which improves in performance like Makespan. Results are compared with Round Robin/Weighted Round Robin algorithms where the proposed method has better performance. © 2014 Science Publications.

Sangeetha N.,Kongu Arts and Science College | Priyenka Devi K.S.,Kongu Engineering College | Saravanan K.,Kongu Engineering College
Pollution Research | Year: 2013

Bio synthesis of nanoparticles is a green chemistry approach that interconnects microbial biotechnology and nanotechnology. The most exciting aspects in modern nanoscience and nanotechnology are the synthesis of nanomaterials with the desired quality. The bioreduction property of the aquatic seaweed leaves extracts such as Ulva lactuca in the synthesis of silver nanoparticles was investigated by the spectrophotometric method. Transmission Electron Microscopy, UV-Vis Spectroscopy and ED AX Analysis conformed the formation of Silver Nanoparticle. The synthesized Ag-NPs were predominately spherical in shape and polydispersed. Absorption spectra of Ag-NPs formed in the reaction media has absorbance peak at 490 nm, broadening of peak indicated that the particles are polydispersed. Fourier Transform Infra-Red spectroscopy analysis showed that the synthesized nano-Ag was capped with bimolecular compounds which are responsible for reduction of silver ions. This study may be used in the development of value-added products from the seaweed leaves for biomedical and nanotechnology based industries.

Deepa C.,Kongu Arts and Science College | Jeyanthi G.P.,Avinashilingam University For Women | Chandrasekaran D.,Veterinary College and Research Center
Asian Journal of Poultry Science | Year: 2011

An experiment was conducted to study the effect of phytase and citric acid on the growth performance, phosphorus, calcium and nitrogen retention with sixty 1 day old mixed sex broiler chicks for 42 days. The experiment consists of four treatments with three replicates and five chicks in each replicate. The treatments were: Tl-control diet (0.3% available phosphorus), T2-control diet with 2% citric acid, T3-control diet with 800 U phytase enzyme, T4-control diet with 800 U phytase plus 2% citric acid. The results revealed that the weight gain of the chicks was significantly higher (p<0.05) for groups that received phytase and phytase plus citric acid supplementation. Feed intake and feed conversion ratio were significantly higher for group that received both phytase and citric acid. Phytase and citric acid supplementation individually and in combination significantly improved phosphorus retention. Calcium and nitrogen retention were significantly higher for groups that received supplementation of phytase and phytase plus citric acid. No significant difference in phosphorus and calcium content of toe samples were observed between broilers of different diets. © 2011 Academic Journals Inc.

Krishnaveni V.,Madurai Kamaraj University | Krishnaveni V.,Kongu Arts and Science College | Arumugam G.,Madurai Kamaraj University
Proceedings of the 2012 International Conference on Recent Advances in Computing and Software Systems, RACSS 2012 | Year: 2012

This paper presents a novel clustering algorithm based on harmony Search (HS) with features of Artificial Bee Colony (ABC) and K-means algorithms. Harmony search (HS) is a stochastic meta-heuristic optimization algorithm inspired from the improvisation process of musicians. However, HS fails to concentrate on the crucial factor of mutating the harmony vectors with better values in the improvisation step (where they are just pitch adjusted). The food source exploitation feature of ABC algorithm is applied to improve the members of the Harmony Memory based on their fitness values and hence improves the convergence rate of the Harmony Search method. This concept in combination with K-Means clustering algorithm leads to a new algorithm. To claim the superiority of the novel algorithm, its performance has been compared with the traditional HS, PSO, and K-means. The simulation results show that the proposed algorithm outperforms the other algorithms in terms of accuracy and convergence speed. © 2012 IEEE.

Subramanian M.,Kongu Arts and Science College | Sathappan S.,Erode Arts and Science College
International Arab Journal of Information Technology | Year: 2015

In general the users are in need to retrieve images from a collection of database images from variety of domains. In earlier phase this need was satisfied by retrieving the relevant images from different database simply. Where there is a bottleneck that the images retrieved was not relevant much to the user query because the images were not retrieved based on content where another drawback is that the manual searching time is increased. To avoid this Content-Based Image Retrieval (CBIR) is developed it is a technique for retrieving images on the basis of automatically -derived features such as colour, texture and shape of images. To provide a best result in proposed work we are implementing high level filtering where we are using the anisotropic morphological filters, hierarchical Kaman filter and particle filter proceeding with feature extraction method based on color and gray level feature and after this the results were normalized. © 2015, Zarka Private Univ. All rights reserved.

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