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Articles by R. Saravanan
Total Records ( 7 ) for R. Saravanan
  K.S. Kannan and R. Saravanan
  Grid computing allows the sharing of resources from the heterogeneous and distributed locations. An extensive study of the scientific research area in grid computing declares the effective retrieval systems design is the prerequisite for an efficiency improvement. Information Retrieval (IR) systems require the periodic updating due to the rapid increase in a number of multimedia data. Generally, extraction of information in IR system based on the matching of appropriate given queries. The retrieving information from a keyword or matching string based IR is insufficient and limited to critical information by the user. The raising up of geospatial data in semantic makes the IR systems as real-time development. The geospatial data can be used in many scientific fields such as agriculture, land use and climate change. The review of real semantic web describes the problem of poor updating. The large amounts of geospatial data are archived in multiple data center. Caching improves the retrieval performance in the widely distributed environment whereas the performance is poor in the large data set. In the case of spatial data, the geospatial semantic web identifies which parts of geospatial information need to receive semantic specifications in order to achieve interoperability. The duplication and redundant nodes exist in the two or more nodes during the tree construction process caused the irrelevance results in response to the queries. The simultaneous verification of overlap and the weight adjustment in proposed scheme in Globus toolkit environment enhances the relevance results. We use the ranking of trivial similarity measure based ontology structure to improve the efficiency of the data retrieval. Ranking of similarity measures we assures the sorting of the list. To avoid the repetition of the distributed query results from the sorted list we introduce Markov-Trivial-Tree (MTT) based index prediction process to capture the repeated results. The comparative analysis between the proposed MTT-based ontology structures proves that it offers better results than the traditional methods regarding the precision, recall, F-measure, and accuracy for diverse large dimension datasets.
  Devabalan and R. Saravanan
  Geological information prediction and Earth monitoring by the satellite images are the recent research area to preserve the vegetation, weather forecast, and the disaster management. The employment of Hyper Spectral Image (HSI) by capturing the electromechanical energy variations from the Earth’s surface in the various spectral bands offers the significant contribution to the remote sensing applications. The clear image analysis depends on the spectral response. The capture of response in HSI in narrow bandwidth causes the less performance. Hence, the number of bands over the various time periods are the important requirement in clear image analysis. The multi-temporal images contain more information than RGB image since more bands are available in it. The absence of frames update leads to accuracy degradation. This study focuses on multi-temporal images for better isolation of normal and noise region and provides the clear image analysis compared to HSI. This study proposes the cellular automata-based noise filtering technique with the changes in noise prediction structure to eradicate the noise components, thereby better isolation is achieved. This study overcomes the update and accuracy limitations by an employment of image fusion to each band to eliminate the cloud and provide the necessary updated frames. The classification of normalized images from the fused images by using Tree Bagger algorithm with Neural Network (NN) formation (TBANN) predicts the cluster label for the color features of specific band results in the reduction of the atmospheric and signal dependent noise. The comparative analysis between the proposed TBANN with the existing methods regarding the accuracy, Kappa coefficient and the number of pixels count assures the effectiveness of TBANN in remote sensing applications.
  R. Saravanan , V. Pavani Devi , A. Shanmugam and D. Sathish Kumar
  The fungus Trichoderma reesei produces extracellular lytic enzymes such as β-1, 4 glucanases, β-1, 6 glucanases and β-1, 3 D glucanases. In the present study the PDA medium was used for the production of β-1, 3 glucanases from the fungal strain. Extra cellular protein (β-1, 3 glucanase) was partially purified by ammonium sulphate precipitation and dialysis. The amount of reducing sugar (126 mg/100 mL) liberated by the action of enzyme was determined by using DNS method. The molecular weight of the enzyme (52-62 kDa) was determined through SDS-PAGE.
  R. Saravanan , K. Kumar Ebenezar , S. Rajasekaran and R. Thamaraiselvan
  The aim of the present study is to isolate the sulfated polysaccharides from marine macro algae S. wightii. The crude sulfated polysaccharides were fractionated by anionic resin (Amberlite IRA-900) and the separated active fractions were confirmed by agarose gel electrophoresis. The active fractions were pooled, dialyzed and purified by molecular sieve (Sephadex G-100) chromatography. The molecular weight of fractionated as well as purified sulfated polysaccharides was determined through gradient polyacrylamide gel electrophoresis (PAGE) and the disaccharide profile of purified sulfated polysaccharides was also analyzed. The structure of purified sulfated polysaccharides was dogged by 1H-NMR spectrum. The elements such as Carbon, Hydrogen and Nitrogen (CHN) and Activated Partial Thromboplastin Time (APTT) were observed from the purified sulfated polysaccharides. The hexosamine, uronic acid and the CHN content in the purified sulfated polysaccharides were found to be low (except molecular weight) when compared to standard heparan sulfate. The molecular weight of purified sulfated polysaccharides have 6,500 Da and the concentration of disaccharide profile such as 5.52% of uronic acid, 3.47% hexosamine and 5.4% of sulfate. APTT of fractionated and purified sulfated polysaccharides was found to be 24.6 and 31.1 IU mg-1, respectively. These results suggest that the sulfated polysaccharides from S. wightii could be an alternative source of anticoagulant.
  R. Saravanan and N. Ramaraj
  Problem statement: Data inconsistency is raised in actively replicated environment due to non-determinism in the applications that defeats the purpose of replication as a fault-tolerance strategy. Approach: We proposed an efficient framework RTC which ensured determinism among the replicas in fault tolerance middleware applications. This method exploits the technique of statically analyzing the application source code of client and identifies the variables and system calls which lead to non-deterministic state in the replicas. The source code consists of non-deterministic variables and system calls which are identified and set the flag field. The client request consist of flag field and the service request, which is sent to all the servers through time stamp based replication protocol (TSP) that facilitate the multiple clients and the request is sent to the servers. The distributed coordination method was initiated if necessary; otherwise send any one response of the servers to the client by duplicate removal. Distributed coordination which involves, the selection of a primary replica based on the time stamp value. It is responsible for taking all non-deterministic decisions. The state of the primary replica was updated to all other replica connected asynchronously to maintain consistency. Results: We evaluated our technique by increasing the contamination percentage of non-determinism and increasing number of replicas. Conclusion: The method suggested by us reduces the communication and synchronization overhead which was proved through implementation. We evaluate our technique for the active replication of servers using micro benchmarks that contain various sources of non-determinism. Multi-threading, system call, shared I/O and random ( ).
  R. Saravanan and M.P. Salaimanimagudam
  The principle concern of this study is to assess solar absorption coefficient over solar cladding on building and to reduce the high room temperature due to the excess solar radiation over the wall. Simulations were carried out on a college building (kings college of engineering) by using the solar analysis in autodesk Formlt 360, finding a energy efficient wall of an building and solar cladding installation carried out over that area and audit the solar absorption coefficient in the solar cladding. As an results to reduce the room temperature which also decreasing the energy usage by minimizing the usage of fans and leads to a get an sustainable solar energy from solar cladding, by production of renewable energy form solar cladding it reduce the CO emission 2 which are generated during the production of energy from fossil fuels.
  C. Pandiyan , K. Senthilvel , R. Saravanan and V. Chandirasekaran
  About 1 week old Mecheri lambs having average weight of 2.2 kg were selected and divided into three groups such as control, fed exclusively with ewe’s milk, treatment 2, fed with 50% of soya milk and 50% of ewe’s milk and treatment 3, fed with 75% soya milk and 25% ewe’s milk. All the lambs were fed with 10% of their body weight. The control group had a mean body weight (kg) of 3.43, 6.34 and 8.57 at 30, 60 and 90 days of age, respectively. The T2 group had a body weight (kg) of 3.69, 6.34 and 9.99 at 30, 60 and 90 days of age, respectively. The T3 group had a body weight (kg) of 3.74, 6.89 and 10.33 at 30, 60 and 90 days of age, respectively. The growth performance of the treatment groups T2 and T3 were significantly higher than the control group (p<0.01). The higher weight gain was observed in the T3 as compared to T2, this might be due to higher protein, total solids content of the respective soya milk and ewe’s milk blends fed. This investigation reveals that the feeding of soya milk and ewe’s milk blend will be beneficial for feeding orphan lambs.
 
 
 
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