Zinc Metal Solubilization by Gluconacetobacter diazotrophicus and Induction of Pleomorphic Cells

( Saravanan ),( Venkatakrishnan Sivaraj ),( Jabez Osborne ),( Munusamy Madhaiyan ),( Lazar Mathew ),( Jong Bae Chung ),( Ki Sup Ahn ),( Tong Min Sa ) 한국미생물생명공학회 2007 Journal of Microbiology and Biotechnology Vol.17 No.9

FIXED POINT THEOREMS VIA CONTRACTIVE FIXED POINT IN G-METRIC SPACES

S. Saravanan,S. Ramkumar,K. Kumara Swamy 경남대학교 수학교육과 2026 Nonlinear Functional Analysis and Applications Vol.31 No.2

The study of the existence of contractive fixed points for self-maps in metric spaces was carried out by Edelstein, Hoyle, Leader, and Reich. More recently, Kumara Swamy and Saravanan introduced a conjecture in the setting of G-metric spaces. In this paper, we establish several new fixed point theorems based on this conjecture and on contractive fixed points in G-metric spaces.

Thermally Stable Superhydrophobic Polymethylhydrosiloxane Nanohybrids with Liquid Marble-Like Structure

Saravanan Nagappan,조남주,이원기,하창식 한국고분자학회 2017 Macromolecular Research Vol.25 No.5

We prepared novel hybrid materials by in situ self-hydroxylation and condensation of polymethylsiloxane (PMHS) with multi-walled carbon nanotubes (MWCNTs). The hybrid material showed superhydrophobic and non-stick properties, mesoporous structure, and liquid marble-like non-stick water droplet behavior. Moreover, we found that the in situ addition of MWCNTs to the PMHS would increase the thermal stability of the hybrid material. Thermal stability of the hybrid is enhanced by increasing the percentage of MWCNTs to the PMHS. The superhydrophobic hybrid powder covered non-stick water droplet showed anti-icing behavior for long time. The hybrids also showed oils sorption behavior and easy reusable property. The obtained results suggest that the thermally stable superhydrophobic hybrid mesoporous materials with anti-icing, oils sorption properties can be easily synthesized and used for various applications.

Analysis of Neural Network Approaches for Nonlinear Modeling of Switched Reluctance Motor Drive

Saravanan, P,Balaji, M,Balaji, Nagaraj K,Arumugam, R The Korean Institute of Electrical Engineers 2017 Journal of Electrical Engineering & Technology Vol.8 No.1

This paper attempts to employ and investigate neural based approaches as interpolation tools for modeling of Switched Reluctance Motor (SRM) drive. Precise modeling of SRM is essential to analyse the performance of control strategies for variable speed drive application. In this work the suitability of Generalized Regression Neural Network (GRNN) and Extreme Learning Machine (ELM) in addition to conventional neural network are explored for improving the modeling accuracy of SRM. The neural structures are trained with the data obtained by modeling of SRM using Finite Element Analysis (FEA) and the trained neural network is incorporated in the model of SRM drive. The results signify the modeling accuracy with GRNN model. The closed loop drive simulation is performed in MATLAB/Simulink environment and the closeness of the results in comparison with the experimental prototype validates the modeling approach.

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.

Combustion Kinetics of Pulverized Indian Coal-Char in Different CO₂-O₂ Mixture Isothermally

Saravanan, V.,Shivakumar, R.,babu, P. Niruguna,Ramakrishna Korea Chemical Society 2009 대한화학회지 Vol.53 No.6

Experimental work was carried out to study the combustion kinetics of the Indian coal-char in the varying mixture of carbon dioxide-oxygen ($CO_2-O_2$). The coal sample was pulverized and sieved to less than 58 microns and charred using volatile furnace by passing the nitrogen gas. The experiments were carried out using the Thermo Gravimetric Analyzer (TGA-50) at CPRI, Bangalore, different proportions of ($CO_2-O_2$) gas was allowed in to the TGA-50 (80-20, 60-40, 40-60, 20-80) mole basis were used to study the combustion kinetics of coal Isothermally, kinetic parameters like Activation energy (E) and the pre-exponential factors (A) are calculated using the unification approach and modified Arrhenius equation.

Evaluating the Role of Puckering and Fluorine Atom in Stability and Folding of Fluoroproline Containing Proteins

Saravanan Prabhu Nadarajan,카나가벨디판쿠마,서주현,윤형돈 한국생물공학회 2017 Biotechnology and Bioprocess Engineering Vol.22 No.5

In the past decade, numerous studies have been reported that the residue specific incorporation of fluorine containing analogs into protein can enhance the stability of protein. On the other hand, the incorporation of fluoroproline can enhance both stability and refolding rate of recombinant proteins. The objective of this study was to determine the reason behind the enhanced stability and refolding rate of protein by comparing GFP variants containing fluoroproline or hydroxyproline. The fluorine atom of 4-fluoroproline played a significant role in enhancing stability, and Cγ-endo puckering property of (4S)-4-fluoroproline and (4S)-4- hydroxyproline plays a key role in enhancing protein refolding rate.

Sexing of Sheep Embryos Produced In vitro by Polymerase Chain Reaction and Sex-specific Polymorphism

Saravanan, T.,Nainar, A. Mahalinga,Kumanan, K.,Kumaresan, A. Asian Australasian Association of Animal Productio 2003 Animal Bioscience Vol.16 No.5

The accuracy of Polymerase chain reaction (PCR) assay in sexing of sheep embryos was assessed in this study. A total of 174 ovine embryos produced in vitro at different stages of development (2, 4-8 cell stages, morula and blastocyst) were sexed. The universal primers (P1-5EZ and P2-3EZ) used in this assay amplified ZFY/ZFX-specific sequences and yielded a 445 bp fragment in both sexes. Restriction enzyme analysis of ZFY/ZFX-amplified fragments with Sac I exhibited polymorphism between sexes, three and two fragments in males and in females, respectively. For verification of accuracy, blood samples of known sex were utilized as positive controls in each test. The mean percentages of sex identification by this method at 2 cell, 4-8 cell, morula and blastocyst were $73.00{\pm}5.72$, $89.77{\pm}3.79$, $3.33{\pm}8.08$ and $79.6{\pm}9.09$, espectively with the over all male to female ratio of 1:0.87. It is concluded that the ZFY/ZFX based method is highly reliable for the sexing of sheep embryos.

Pd-Mediated Cross-Coupling Reactions between the Bromide of Baylis-Hillman Adduct and Organostannanes

Saravanan Gowrisankar,Sung Hwan Kim,김재녕 대한화학회 2009 Bulletin of the Korean Chemical Society Vol.30 No.3

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).