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Articles by A. Suresh
Total Records ( 6 ) for A. Suresh
  K. Zhu , H. L. Choi , H. Q. Yao , A. Suresh and D. I. Oh
  Land application of the effluent of anaerobically digested pig slurry is becoming common practice in integrated crop and livestock farming. However, the loss of nutrients, in particular nitrogen and phosphorus, within the water bodies is still a main concern of this practice. The objective of this study was to evaluate nitrogen and phosphorus losses in runoff and leachate for four application rates of anaerobically digested pig slurry (25.0, 70.1, 140.2, and 210.3 kg N ha-1) for Chinese cabbage grown in lysimeters. Simulated rainfall events, occurring one week after slurry application, were used to generate runoff. The yields of nutrients, biochemical oxygen demand and chemical oxygen demand in runoff and leachate increased linearly or logarithmically with slurry application rates. A combination of long rainfall duration (90 minutes) and lower rainfall intensity (33.3 mm hr-1) induced higher nutrient concentrations in the runoff, but lowered the nitrogen concentration in the leachate. The application doses of anaerobically digested pig slurry before sowing, nutrient supplementation and fertilisation time management are the key factors in reducing nutrient contamination of water courses.
  V. Vijaya Kumar , B. Eswara Reddy , U.S.N. Raju and A. Suresh
  The present research advocates a new method for texture classification based on primitive patterns. For this, an optimal set of eight simple patterns are selected based on their discrimination. The percentage of frequency of occurrences is computed for these patterns on entire texture image. Textures can be classified by using frequency of occurrences, for complex patterns also. The present research proposes a scheme to completely avoid the computation of, frequency of occurrence for complex patterns. Further, an innovative scheme for determining the percentage of occurrences of upper and lower limits of complex patterns is focused in the present study. The experimental results proved the avoidance of computation of complex patterns. Finally, the experimental results on Brodatz textures indicate the clear classification of textures into classes by selecting simple patterns, but the classes are overlapped when complex patterns are applied.
  V. Vijaya Kumar , U.S.N. Raju , P. Premchand and A. Suresh
  Problem Statement: A novel method for dominant skeleton extraction of textures using different nonlinear wavelet transforms is proposed in this study. In the present study 3×3 masks are used for extraction of skeleton primitives. For a 3×3 skeleton primitive there will be 29 skeleton primitive combinations. But the present study considered a skeleton primitive for the skeletonization purpose if and only if its center pixel is one and skeleton primitives are represented by the corresponding skeleton primitive weight. By this, there will be 28 combinations of skeleton primitives. Approach: The skeleton primitive were used for evaluating skeleton points. The skeleton of an object has the property that it was reduced to one point when the skeleton primitive used for the skeletonization is exactly homothetic to the object. The dominant skeleton subset was evaluated by counting the skeleton points. The skeleton subset that leads to the least skeleton points will be the resultant skeleton subset. The present study classified the textures based on two methods. In the first method textures are classified based on skeleton primitive weight, which was nothing but based on skeleton primitive combination. In the second method classification is made based on distance function of skeleton points. Results: The proposed method was applied on 24 Brodatz textures using the three nonlinear wavelet transformed textures. By this the dominant skeleton primitive weight is obtained for each texture. Based on the number of skeleton points distance measures were calculated based on which texture classification is obtained. Conclusions: The two methods were applied on Brodatz textures using different nonlinear wavelet transforms which classified the textures. The first method was appropriate if one need to classify based on skeleton subsets. The second method was appropriate if the classification is to be done based on least number of skeleton points.
  A. Suresh and Dr.K. Duraiswamy
  The mobile node’s reputation in the Mobile Ad hoc Network (MANET) identifies its trust worthiness for secured multiple data communication. Unknown nature of the node’s communication status for initial period has great impact in the effective data transfer as MANET is self-organized and distributed. Problem statement: The functional operation of the mobile network relies on the trusty cooperation between the nodes. The major factor in securing the MANET is based on the quantification of node’s reputation and trustworthiness. The previous literatures provided uncertainty model to reflect a node’s confidence in sufficiency of its past experience and effect of collecting trust information from the unknown node’status. With node mobility characteristic, it reduces unknown nature and speed up trust convergence. Approach: Mobility-assisted uncertainty reduction schemes comprised of, proactive schemes, that achieve trust convergence and reactive schemes provide node authentication and their reputation. They provide an acceptable trade-off between delay and uncertainty. The mobility based node reputation scheme presented in this study, identifies and monitor the node’s trustworthiness in sharing the information within the ad hoc network. Mobile nodes information uncertainty is handled with the mobility characteristics and its reputation is evaluated to trust or discard the node’s communication. Results: Simulations are carried out to evaluate the performance of mobility based node reputation scheme by measuring the nodes consistency behavior, neighboring communication rate and path diversity. Conclusion: The average node’s neighboring communication rate is high for the proposed mobility based reputation scheme compared to the reactive routing protocols.
  G. Edison , R. Thundil Karuppa Raj and A. Suresh
  Valve design is one of the most important aspects of compressor design. In designing the valve system for reciprocating compressors four main features related to the valve performance are sought: Fast response, high mass flow rate, low pressure drop when opened and good backflow blockage when closed. For this reason and in order to obtain an optimum valve system, it is crucial to recognize and predict the phenomena associated with the flow through the valve. The present research is to analyze the effective flow area across the valve section of a hermetic compressor with back flow condition experimentally. Mass flow rate has been an important parameter in analyzing the effective flow area at the valve section. Experimental set up being arranged in order to compute the mass flow rate through the valve section for various valve lifts. Using continuity equation for steady one-dimensional flow, mass flow rate through the valve section is calculated analytically. Effective flow area in terms of lift is obtained experimentally taking the design parameters like flow rate, discharge coefficient, area of cross section and static pressure across the valve section. The effective flow areas are higher at 60% of the valve lift in case of back flow conditions. These experimental results were compared with the analytical values with 5% variation, well with in the accepted limits. These results would be useful in optimizing the performance of reciprocating compressors.
  A. Suresh , R. Praveen Kumar , D. Dhanasekaran and N. Thajuddin
  The systematic study was conducted on the microalgal flora of Western Ghats and other parts of Eastern Ghats revealed a rich wetland algal resource for biotechnological exploration. The present study reveals with the diversity of microalgal flora in the region of Kodaikanal (10°14' N, 77°28' E), Gudalur (9°19'N 77°12'E), Agasthiyar falls (9°58'N, 78°10'E) and Kolli hills (10°12'N, 77°56'E) located in Western and Eastern Ghats of Tamilnadu, India collected in May 2011. In total, 97 species of micro algae belonging to three taxonomic groups were identified, of which 41 species belonging to Cyanophyceae, 38 species from Chlorophyceae and 18 species from Bacillariophyceae. The predominant species in Cyanophyceae were Aphanothece microscopica, Chroococcus minutus, Coelospharium dubium, Hydrococcus rivularism, Oscillatoria princeps, Nostoc muscorum, Nostoc puncteforme, Nostoc commune, Gleotricha gausii, Calothrix braunii, Rivellaria sp., Tolypothrix tenuis, Scytonema schmidtii, whereas in Chlorophyceae, Chlorella sp., Scenedesmus sp., Pediastrum duplex, Cosmarium consperum, Euastrum elagans, Micrasterias americana and in Bacillariophyceae, Navicula hallophyla, Rhophaldia gebrella, Fragellaria intermedia, Pinnularia virdis, Nitzchia palliate. Physicochemical nature of water samples were analyzed and correlated with the total microalgal diversity. Based on the correlation coefficient data, the micro algae showed positive relationship with dissolved oxygen, salinity, nutrients and negative relationship with temperature and turbidity. The species diversity index (H'), Species Richness (SR) and species evenness (J') were calculated and analyzed for microalgal population dynamic variation in the Western and Eastern Ghats.
 
 
 
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