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Search Results: 1 - 10 of 200757 matches for " P. Balamurugan "
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Data Diffusion and Gathering in Wireless Sensor Networks
P. Balamurugan
Journal of Global Research in Computer Science , 2011,
Abstract: A sensor network is a set of small autonomous systems, called sensor nodes which cooperate to solve at least one common problem. Their tasks include the perception of physical parameters. One of the most important applications for wireless sensor networks (WSNs) is Data Collection, where sensing data are collected at sensor nodes and forwarded to a central base station for further processing. Since using battery powers and wireless communications, sensor nodes can be very small and easily attached at specified locations without disturbing surrounding environments. In this paper, we review recent advances in this research area. We first highlight the special features of data collection in WSNs. we then discuss issues and prior solutions on the data gathering protocol design and the data dissemination protocol design. Our discussion also covers different protocol for data gathering, which is a critical component for energy efficient data gathering and greatly affects the overall performance of a data collection WSN system.
The nature of proteins in influenza  [PDF]
K. Akila, P. Balamurugan, E. Rajasekaran
Health (Health) , 2012, DOI: 10.4236/health.2012.430151
Abstract: Mutation can alter the structure of viral proteins to form different structure. Carbon distribution is responsible for these changes in structure. The carbon distribution in proteins of human Influenza A virus is analyzed here. Results reveal that the carbon contents are high in surface proteins, optimum in polymerase proteins and less in nuclear proteins. Polymerase proteins have better carbon distribution pattern than the other proteins. Thymine distribution in different frames of mRNAs are checked as it has link with carbon distribution pattern in the corresponding proteins. Results show that frame 4 is violating from thymine distribution. This is responsible for production of protein with different carbon distribution. Unusual thymine distribution in frame 3 are observed. The thymine distributions are different in viral mRNA compared to normal one. Minimizing the excess thymine in H1N1 mRNAs might improve the protein performance. Mutational study based on carbon distribution should be better exploited for further improving the protein stability, activity and ultimately for gene therapy.
Characterization of Oats (Avena sativa L.) Cultivars Using Machine Vision
S. Sumathi,P. Balamurugan
Pakistan Journal of Biological Sciences , 2013,
Abstract: Machine vision or image analysis is an important tool in the study of morphology of any materials. This technique has been used successfully to differentiate the eleven oats cultivars based on morphological characters. The geometry of seeds was measured through image analyzer and the variation was observed and recorded. From the recorded data, the cluster analysis was carried out and it revealed that the cultivars could be grouped into two main clusters based on similarity in the measured parameters. Cultivar Sabzar, UPO 212, OL 9 and OL 88 formed one main cluster. The another main cluster includes cv. Kent, OS 6, UPO 94, HFO 114, OS 7, HJ 8 and JHO 822 with many sub clusters. Among the cultivars HJ 8 and JHO 822 has more similarity in all measured parameters than other cultivars. Thus morphological characterization through seed image analysis was found useful to discriminate the cultivars.
ANN BASED ONLINE ESTIMATION OF VOLTAGE COLLAPSE PROXIMITY INDICATOR
G. Balamurugan,P. Aravindhababu
International Journal of Engineering Science and Technology , 2010,
Abstract: Voltage stability has recently become a challenging issue in many power systems. There are different methods used to study the voltage collapse phenomenon but most of them take significant computation time and are not suitable for on-line applications. Fast voltage stability assessment tools are required in order to ensure the secureoperation of the present day power systems, as voltage collapse can occur quite abruptly in systems. Therefore a new ANN based on-line approach that requires minimum input for estimation of voltage collapse proximity indicator for each critical bus under normal and contingent conditions is developed in this paper. Test results onIEEE-14 bus system are presented to show its computational accuracy.
Classification of a Class of Agricultural Images Using Multi Guided Multicolor Coherence Feature
P. Balamurugan,R. Rajesh
Journal of Applied Sciences , 2012,
Abstract: Classification of particular group of agricultural images into semantically meaningful categories is a challenging task. Recently color coherence vector has become popular for image mining. This study makes use of multicolor coherence feature with multiple guide images (MGMCF) for classification of agricultural images like coconut and palm trees. The classification results using neural network is promising. Hence, image mining/image retrieval tasks can be done at good precision/recall by using MGMCF features.
Effect of Indigofera tinctoria on ?-amyloid (25-35) mediated Alzheimer’s disease in mice: Relationship to antioxidant activity
G. Balamurugan, P. Muralidharan
Bangladesh Journal of Pharmacology , 2010,
Abstract: The oxidative stress reducing effect of methanol extract of Indigofera tinctoria leaves (250 and 500 mg/kg) was investigated on β-amyloid (25-35) peptide-induced Alzheimer’s disease in mice. All the antioxidant enzymes (superoxide dismutase, catalase, glutathione peroxide and glutathione reductase) in brain were reduced significantly (p<0.001) in the β-amyloid peptide injected group, whereas lipid peroxidation was increased significantly (p<0.001). The reduced enzyme level were restored significantly (p<0.01; p<0.001) by the administration of extract at the tested dose levels. A significant (p<0.001) reduction in lipid peroxidation was observed in the groups of animals administered with extract. Histopathological sections of the hippocampal region showed the extent of neuronal loss and its restoration upon administration of extract. Treatment with extract at the tested doses moderately prevented the neuronal loss.
Observation of the hepatoprotective and antioxidant activities of Trianthema decandra Linn. (Vallai sharunnai) roots on carbon tetrachloride-treated rats
G. Balamurugan,P. Muthusamy
Bangladesh Journal of Pharmacology , 2008,
Abstract: The present study was carried out to observe the hepatoprotective effect and antioxidant activity of the ethanol extract of the roots of Trianthema decandra Linn. (200 and 400 mg/kg) in rats treated with carbon tetrachloride for 8 weeks. Extract at the tested doses restored the levels of all serum (aspartate aminotransferase, alanine aminotransferase, alkaline phosphatase, total bilirubin and total protein) and liver homogenate enzymes (glutathione peroxidase, glutathione reductase, superoxide dismutase and catalase) significantly. Histology demonstrated profound steatosis degeneration and nodule formation were observed in the hepatic architecture of carbon tetrachloride treated rats which were found to acquire near-normalcy in extract plus carbon tetrachloride administrated rats, and supported the biochemical observations. This study suggests that ethanol extract of T. decandra has a liver protective effect against carbon tetrachloride- induced hepatotoxicity and possess antioxidant activities.
Feature-Based Adaptive Tolerance Tree (FATT): An Efficient Indexing Technique for Content-Based Image Retrieval Using Wavelet Transform
Dr. P. AnandhaKumar,V. Balamurugan
Computer Science , 2010,
Abstract: This paper introduces a novel indexing and access method, called Feature- Based Adaptive Tolerance Tree (FATT), using wavelet transform is proposed to organize large image data sets efficiently and to support popular image access mechanisms like Content Based Image Retrieval (CBIR).Conventional database systems are designed for managing textual and numerical data and retrieving such data is often based on simple comparisons of text or numerical values. However, this method is no longer adequate for images, since the digital presentation of images does not convey the reality of images. Retrieval of images become difficult when the database is very large. This paper addresses such problems and presents a novel indexing technique, Feature Based Adaptive Tolerance Tree (FATT), which is designed to bring an effective solution especially for indexing large databases. The proposed indexing scheme is then used along with a query by image content, in order to achieve the ultimate goal from the user point of view that is retrieval of all relevant images. FATT indexing technique, features of the image is extracted using 2-dimensional discrete wavelet transform (2DDWT) and index code is generated from the determinant value of the features. Multiresolution analysis technique using 2D-DWT can decompose the image into components at different scales, so that the coarest scale components carry the global approximation information while the finer scale components contain the detailed information. Experimental results show that the FATT outperforms M-tree upto 200%, Slim-tree up to 120% and HCT upto 89%. FATT indexing technique is adopted to increase the efficiently of data storage and retrieval.
Physical-Properties of Oxygen-Deficient Co-Based Perovskites: Co(Sr1-xYx)O3–δ (0.05 ≤ x ≤ 0.4)  [PDF]
Sarkarainadar Balamurugan
World Journal of Condensed Matter Physics (WJCMP) , 2011, DOI: 10.4236/wjcmp.2011.14021
Abstract: In this work, the syntheses and characterization of oxygen deficient perovskite cobalt oxides prepared under ambient pressure conditions with different “x” in the Co(Sr1-xYx)O3–δ; 0.05 ≤ x ≤ 0.4 series are reported. The system studied in the present investigation undergoes structural phase transition at room temperature from cubic to tetragonal symmetry. The samples with x ≥ 0.2 show a tetragonal structure with I4/mmm space group, while the samples with 0.05 ≤ x ≤ 0.15 reveal cubic with pm3m group symmetry. Quite similar to Ho-substituted system [J. Appl. Phys. 103, 07B903 (2008)], the present Y-doped magnetization data clearly show the appearance of an enhanced ferromagnetic component at ~350 K for 0.15 ≤ x ≤ 0.225. Unlike the Ho-substituted system, the present narrow compositions behave as hard ferromagnet with quite high coercive field, Hc = 11.02, 12.25 and 14.0 kOe for x = 0.15, 0.2 and 0.225 compositions, respectively at T = 10 K. All the compositions show a semiconducting-like behaviour and some interesting features of temperature dependence of magnetoresistance (MR) are observed. The Co(Sr1-xYx)O3–δ samples seemly to obey variable range hopping conduction model showing a linear ln ρ versus T–1/4 dependence at the temperature range 80 K ≤ T ≤ 300 K.
A new real time approach using dSPACE R&D Controller Board for reactive power control by SVC in autonomous wind-diesel hybrid power systems
P Sivachandran, P Venkatesh, S Balamurugan
International Journal of Engineering, Science and Technology , 2011,
Abstract: This paper presents the reactive power control of Autonomous Wind-Diesel Hybrid Power Systems (AWDHPS) under dSPACE real time environment. The reactive power absorption and supply is done by a Static VAR Compensator (SVC) controlled by proportional plus integral controller and tuned by dSPACE DS 1104. Three models of AWDHPS are considered in the study. The disturbance parameters in the models were the change in reactive power of the load ( QL), the change in mechanical power input of the induction generator ( PIW) and the change in mechanical power input of two induction generators ( PIW1, PIW2) respectively. The parameters were dynamically varied in control desk of dSPACE Software with DS1104 Research and Development controller board mounted in personal computer under real time environment.
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