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Optimization of Wear Behavior on Cenosphere -Aluminium Composite
Saravanan, V.,Thyla, P.R.,Balakrishnan, S.R. Materials Research Society of Korea 2015 한국재료학회지 Vol.25 No.7
The magnitude of wear should be at a minimum for numerous automobile and aeronautical components. In the current work, composites were prepared by varying the cenosphere content using the conventional stir casting method. A uniform distribution of particles was ensured with the help of scanning electron microscopy (SEM). Three major parameters were chosen from various factors that affect the wear. A wear test was conducted with a pin-on-disc apparatus; the controlling parameters were volume percentages of reinforcement of 5, 10, 15, and 20%, applied loads of 9.8, 29.42, and 49.03 N, and sliding speeds of 1.26, 2.51, and 3.77 m/s. The design of the experiments (DOE) was performed by varying the different influencing parameters using the full factorial method. An analysis of variance (ANOVA) was used to analyze the effects of the parameters on the wear rate. Using regression analysis, a response curve was obtained based on the experimental results. The parameters in the resulting curve were optimized using the Genetic Algorithm (GA). The GA results were compared with those of an alternate efficient algorithm called Neural Networks (NNs).
V. V. Sathibabu Uddandrao,Brahmanaidu Parim,P. R. Nivedha,K. Swapna,P. Rameshreddy,S. Vadivukkarasi,Mustapha Shabana Begum,Saravanan Ganapathy 경희대학교 융합한의과학연구소 2019 Oriental Pharmacy and Experimental Medicine Vol.19 No.3
Pomegranate (Punica granatum Linn), has been widely used in India’s ancient Ayurveda system of traditional medicine which is commonly portrayed as a constituent in remedies. The present study was aimed to investigate the anticancer activity of the aqueous extract of P. granatum fruits (PGET) against ehrlich-ascites-carcinoma (EAC)-bearing Swiss albino mice. The PGET were administered to EAC bearing mice at the doses of 100, 200 and 400 mg/kg body weight (BW) intraperitonially for 14 successive days and 24 h of last dose and 18 h of fasting, the mice were sacrifced and the anticancer efect of PGET was appraised by evaluating tumor volume, viable, nonviable tumor cell count, tumor weight, hematological, biochemical parameters and histopathological changes of EAC mice. PGET showed momentous decrease in tumor volume, viable cell count, tumor weight and elevated the life span of EAC bearing mice. Hematological profle such as RBC, hemoglobin and lymphocyte count reverted to normal level in PGET treated mice. The extract at 400 mg/kg BW showed a noteworthy reduction in the level of lipid peroxidation and considerably increased the levels of antioxidant enzymes in the liver and observed signifcant restoration of histopathological changes in experimental animals. Hence, the current study revealed that the PGET was efcient in inhibiting the tumor growth in ascitic models and that is comparable to 5-Fluorouracil. The anticancer properties of P. granatum could be due to the presence of the various phytoconstituents in it.
Multi Label Deep Learning classification approach for False Data Injection Attacks in Smart Grid
( Prasanna Srinivasan. V ),( Balasubadra. K ),( Saravanan. K ),( Arjun. V. S ),( Malarkodi. S ) 한국인터넷정보학회 2021 KSII Transactions on Internet and Information Syst Vol.15 No.6
The smart grid replaces the traditional power structure with information inventiveness that contributes to a new physical structure. In such a field, malicious information injection can potentially lead to extreme results. Incorrect, FDI attacks will never be identified by typical residual techniques for false data identification. Most of the work on the detection of FDI attacks is based on the linearized power system model DC and does not detect attacks from the AC model. Also, the overwhelming majority of current FDIA recognition approaches focus on FDIA, whilst significant injection location data cannot be achieved. Building on the continuous developments in deep learning, we propose a Deep Learning based Locational Detection technique to continuously recognize the specific areas of FDIA. In the development area solver gap happiness is a False Data Detector (FDD) that incorporates a Convolutional Neural Network (CNN). The FDD is established enough to catch the fake information. As a multi-label classifier, the following CNN is utilized to evaluate the irregularity and cooccurrence dependency of power flow calculations due to the possible attacks. There are no earlier statistical assumptions in the architecture proposed, as they are "model-free." It is also "cost-accommodating" since it does not alter the current FDD framework and it is only several microseconds on a household computer during the identification procedure. We have shown that ANN-MLP, SVM-RBF, and CNN can conduct locational detection under different noise and attack circumstances through broad experience in IEEE 14, 30, 57, and 118 bus systems. Moreover, the multi-name classification method used successfully improves the precision of the present identification.
Madhaiyan, M.,Poonguzhali, S.,Saravanan, V. S.,Hari, K.,Lee, K.-C.,Lee, J.-S. International Union of Microbiological Societies 2013 International journal of systematic and evolutiona Vol.63 No.3
<P>Two strains, designated Sac-22<SUP>T</SUP> and Sac-41<SUP>T</SUP>, were isolated from rhizosphere soil and rhizoplane of field-grown sugar cane clone Co86032. Comparative 16S rRNA gene sequence analysis showed a clear affiliation of these two bacteria with the class <I>Betaproteobacteria</I>, their closest relatives being <I>Pseudoduganella violaceinigra</I> and <I>Duganella zoogloeoides</I> with 16S rRNA gene sequence pairwise similarities of 96.4–97.2 % to the two novel strains. Strains Sac-22<SUP>T</SUP> and Sac-41<SUP>T</SUP> shared a 16S rRNA gene sequence similarity value of 97.6 %. Cells of the two strains were Gram-reaction-negative, aerobic, motile and rod-shaped. Ubiquinone (Q-8) was the respiratory quinone and the predominant polar lipids consisted of phosphatidylglycerol and phosphatidylethanolamine. The main cellular fatty acids were C<SUB>16 : 0</SUB>, C<SUB>16 : 1</SUB>ω7<I>c</I>/iso-C<SUB>15 : 0</SUB> 2-OH, C<SUB>17 : 0</SUB> cyclo, C<SUB>10 : 0</SUB> 3-OH and C<SUB>12 : 0</SUB>. The DNA G<I>+</I>C content of the genomic DNA was 56.4 mol% for strain Sac-22<SUP>T</SUP> and 54.9 mol% for strain Sac-41<SUP>T</SUP>. Based on the results of 16S rRNA gene sequence analysis and physiological and biochemical characterization, that differentiated strains Sac-22<SUP>T</SUP> and Sac-41<SUP>T</SUP> from all recognized species of the genus <I>Duganella</I>, it was concluded that strains represent two novel species in the genus <I>Duganella</I> for which the names <I>Duganella</I> <I>sacchari</I> sp. nov. (type strain Sac-22<SUP>T</SUP> = KCTC 22381<SUP>T</SUP> = NCIMB 14475<SUP>T</SUP>) and <I>Duganella</I> <I>radicis</I> sp. nov. (type strain Sac-41<SUP>T</SUP> = KCTC 22382<SUP>T</SUP> = NCIMB 14476<SUP>T</SUP>) are proposed.</P>
Generation Scheduling with Large-Scale Wind Farms using Grey Wolf Optimization
Saravanan, R.,Subramanian, S.,Dharmalingam, V.,Ganesan, S. The Korean Institute of Electrical Engineers 2017 Journal of Electrical Engineering & Technology Vol.8 No.1
Integration of wind generators with the conventional power plants will raise operational challenges to the electric power utilities due to the uncertainty of wind availability. Thus, the Generation Scheduling (GS) among the online generating units has become crucial. This process can be formulated mathematically as an optimization problem. The GS problem of wind integrated power system is inherently complex because the formulation involves non-linear operational characteristics of generating units, system and operational constraints. As the robust tool is viable to address the chosen problem, the modern bio-inspired algorithm namely, Grey Wolf Optimization (GWO) algorithm is chosen as the main optimization tool. The intended algorithm is implemented on the standard test systems and the attained numerical results are compared with the earlier reports. The comparison clearly indicates the intended tool is robust and a promising alternative for solving GS problems.
Advanced analysis of cyclic behaviour of plane steel frames with semi-rigid connections
Saravanan, M.,Arul Jayachandran, S.,Marimuthu, V.,Prabha, P. 국제구조공학회 2009 Steel and Composite Structures, An International J Vol.9 No.4
This paper presents the details of an advanced Finite Element (FE) analysis of a plane steel portal frame with semi-rigid beam-to-column connections subjected cyclic loading. In spite of several component models on cyclic behaviour of connections presented in the literature, works on numerical investigations on cyclic behaviour of full scale frames are rather scarce. This paper presents the evolution of an FE model which deals comprehensively with the issues related to cyclic behaviour of full scale steel frames using ABAQUS software. In the material modeling, combined kinematic/isotropic hardening model and isotropic hardening model along with Von Mises criteria are used. Connection non-linearity is also considered in the analysis. The bolt slip which happens in friction grip connection is modeled. The bolt load variation during loading, which is a pivotal issue in reality, has been taken care in the present model. This aspect, according to the knowledge of the authors, has been first time reported in the literature. The numerically predicted results using the methodology evolved in the present study, for the cyclic behaviour of a cantilever beam and a rigid frame, are validated with experimental results available in the literature. The momentrotation and deflection responses of the evolved model, match well with experimental results. This proves that the methodology for evolving the steel frame and connection model presented in this paper is closer to real frame behaviour as evident from the good comparison and hence paves the way for further parametric studies on cyclic behaviour of flexibly connected frames.
Experimental investigations on composite slabs to evaluate longitudinal shear strength
Saravanan, M.,Marimuthu, V,Prabha, P.,Arul Jayachandran, S.,Datta, D. 국제구조공학회 2012 Steel and Composite Structures, An International J Vol.13 No.5
Cold-formed steel profile sheets acting as decks have been popularly used in composite slab systems in steel structural works, since it acts as a working platform as well as formwork for concreting during construction stage and also as tension reinforcement for the concrete slab during service. In developing countries like India, this system of flooring is being increasingly used due to the innate advantage of these systems. Three modes of failure have been identified in composite slab such as flexural, vertical shear and longitudinal shear failure. Longitudinal shear failure is the one which is difficult to predict theoretically and therefore experimental methods suggested by Eurocode 4 (EC 4) of four point bending test is in practice throughout world. This paper presents such an experimental investigation on embossed profile sheet acting as a composite deck where in the longitudinal shear bond characteristics values are evaluated. Two stages, brittle and ductile phases were observed during the tests. The cyclic load appears to less effect on the ultimate shear strength of the composite slab.