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Raman N.,VHNSN College | Sakthivel A.,Unnamalai Institute of Technology | Jeyamurugan R.,VHNSN College
Journal of Coordination Chemistry | Year: 2010

Schiff base mixed-ligand copper complexes [CuL1(phen)Cl 2], [CuL1(bipy)Cl2], [Cu(L1) 2Cl2], [Cu(L2)2Cl2], [CuL2(bipy)Cl2], and [CuL2(phen)Cl2] (where L1=4-[3,4-dimethoxy-benzylidene]-1,5-dimethyl-2-phenyl-1,2- dihydro-pyrazole-3-one; L2=4-[3-hydroxy-4-nitro-benzylidene]-1, 5-dimethyl-2-phenyl-1,2-dihydro-pyrazole-3-one; phen=1,10-phenanthroline; and bipy= 2,20-bipyridine) have been synthesized and characterized. Their DNA-binding properties have been studied by electronic absorption spectra, viscosity, and electrochemical measurements. The absorption spectral and viscosity results suggest that the copper(II) complexes bind to DNA via partial intercalation. The addition of DNA resulting in the decrease of the peak current of the copper(II) complexes indicates their interaction. Interaction between the complexes and DNA has also been investigated by submarine gel electrophoresis. The copper complexes cleave supercoiled pUC19DNAto nicked and linear forms through hydroxyl radical and singlet oxygen in the presence of 3-mercaptopropionic acid as the reducing agent. These copper complexes promote the photocleavage of pUC19 DNA under irradiation at 360 nm. Mechanistic study reveals that singlet oxygen is likely to be the reactive species responsible for the cleavage of plasmid DNA by the synthesized complexes. The in vitro antimicrobial study indicates that the metal chelates have higher activity against the bacterial and fungal strains than the free ligands. © 2010 Taylor & Francis.

Rajkumar R.,Mepco Schlenk Engineering College, Sivakasi | Manikandan A.,Unnamalai Institute of Technology
International Journal of Polymer Analysis and Characterization | Year: 2016

The aim of this present investigation was to identify a new natural fiber from one of the cotton plant’s byproducts, which is chemically modified by alkaline treatment. Its characteristics were examined for the preparation of natural fiber–reinforced polymer composites. The cotton shell fibers (CSFs) were extracted from the cotton shell and its degree of crystallinity, crystallite size, chemical constituents group, and thermal stability were determined by X-ray diffraction, Fourier transform infrared (FTIR) spectroscopy and thermogravimetric analysis. The alkali treatment of CSFs is optimized at 5% (w/v) NaOH aqueous solution with 45 min soaking time. 2016 Copyright © Taylor & Francis Group, LLC

Arunachalam M.,Sri SRNM College | Arunachalam M.,Tamil University | Thamilmaran P.,Sri SRNM College | Thamilmaran P.,Tamil University | And 2 more authors.
Physica B: Condensed Matter | Year: 2014

Bulk La1-xCaxMnO3(x=0.70, 0.75 and 0.90) perovskite samples were synthesized using solid state reaction technique. X-ray diffraction study on the sample indicates that the sample has single phase orthorhombic structure with a space group of pnma and has no secondary phase. By employing through transmission technique operated at a fundamental frequency of 5 MHz, ultrasonic velocities and attenuation were measured for both longitudinal and shear waves over a wide range of temperature from 300 to 700 K. The ultrasonic parameters showed an anomalous behavior at the transition temperature 640, 560 and 370 K for x=0.70, 0.75 and 0.90, respectively. These anomalies in the ultrasonic parameters were used to explain the second order metal-insulator phase transition. The existence of the single-ion magnetostriction in LCMO perovskite manganites is also revealed from the ultrasonic measurements. © 2014 Elsevier B.V.

Sivakami P.,Unnamalai Institute of Technology | Subburaj P.,National Engineering College
International Journal on Electrical Engineering and Informatics | Year: 2016

In this paper, the cuckoo search (CS) algorithm - neuro fuzzy controller (NFC) technique is proposed for estimating the electric and magnetic field (EMF) of over head transmission line (OHTL). In the proposed method, the CS algorithm is used to optimize the conductor spacing (arrangements) and to minimize the EMF. From the optimized arrangement of the conductors, the EMF of the transmission lines is evaluated and formed as the datasets. Then the optimized data set values are applied to the input of the NFC. Subsequently, the coordinates are given to the input of the NFC which predicts their corresponding EMF data. The proposed method is implemented in the MATLAB working platform. For testing the performance of the proposed estimation methods, two overhead transmission line models with 110 kV and 400 kV respectively are considered. In order to verify the effectiveness of the proposed method this is compared with the CS algorithm-ANN controller. © 2016, School of Electrical Engineering and Informatics. All rights reserved.

Ida Christy J.,Unnamalai Institute of Technology | Seenivasagam V.,National Engineering College
International Journal of Applied Engineering Research | Year: 2015

Visual Cryptography is a powerful technique that combines the notions of perfect ciphers and secret sharing in cryptography with that of raster graphics. A binary image can be divided into shares that can be stacked together to approximately recover the original image. Extended Visual Cryptographic Scheme (EVCSuses meaningful images to hide the shares of the secret image. In this paper, a new model of EVCS using ARTMAP network is presented that produces the shares with the same size as that of the original image. The results obtained are better than most existing schemes. The effectiveness of our scheme is demonstrated by real examples. © Research India Publications.

Manikandan A.,Unnamalai Institute of Technology | Rajkumar R.,Mepco Schlenk Engineering College, Sivakasi
International Journal of Polymer Analysis and Characterization | Year: 2016

This article describes the characterization of novel natural lignocellulosic bark fibers extracted from the stem of the Gossypium arboreum (cotton) plant. The G. arboreum stem fibers were treated with 5% (w/v) aqueous NaOH solution for different soaking times, and the Fourier transform infrared spectroscopy analysis was conducted to examine the chemical compounds of the raw and treated fibers. The cellulose content improved from 70.06 to 83.91% after the treatment. The X-ray diffraction results indicate that the crystalline index and size were enhanced. Thermogravimetric analysis was performed to study the thermal properties and found that the thermal stability was higher for the treated fibers. The tensile strength and modulus were increased for the alkaline-treated fibers compared to the untreated fibers. 2016 Copyright © Taylor & Francis Group, LLC

Christy J.I.,Unnamalai Institute of Technology | Seenivasagam V.,National Engineering College
2012 International Conference on Computing, Electronics and Electrical Technologies, ICCEET 2012 | Year: 2012

Extended Visual Cryptography is a method of cryptography that reveals the target image by stacking meaningful images. The methods used so far produce an image that is larger than the size of the original image. This paper proposes a method that uses Back Propagation Network (BPN) for extended visual cryptography. BPN is used to produce the two shares. The size of the image produced is same as that of the original image. Experimental results show that the image quality is also good. © 2012 IEEE.

Manikandan A.,Unnamalai Institute of Technology | Rajkumar R.,Mepco Schlenk Engineering College, Sivakasi
Polymers and Polymer Composites | Year: 2016

The objective of this work is to investigate the mechanical properties of Glass fiber reinforced Epoxy composites with different weight proportions. Using hand lay-up technique followed by compression moulding, five composites were prepared by varying the Glass fiber from 15 wt.% to 35 wt.%. The necessary mechanical tests were conducted as per ASTM standards and surface morphology of the fractured surfaces was examined by Scanning Electron Microscope (SEM). As per the obtained results, it is concluded that the 25 wt.% fiber loaded composite has superior mechanical properties. The results are mathematically evaluated by adopting Mixture Design optimization technique. The predicted values establish that 25 wt.% fiber loading shows good mechanical properties compared to other combinations. © Smithers Information Ltd., 2016.

Ida Christy J.,Unnamalai Institute of Technology | Seenivasagam V.,National Engineering College
International Journal of Security and its Applications | Year: 2015

Conventional visual secret sharing schemes generate noise-like random pixels on shares to hide secret images. It suffers a management problem, because of which dealers cannot visually identify each share. This problem is solved by the Extended Visual Cryptography Scheme (EVCS), which adds a meaningful cover image in each share. However, the previous approaches involving the EVCS for color images suffer from a pixel expansion problem. In this paper, we propose a general approach to solve the abovementioned problem; the approach can be used for color images in non computer-aided decryption environments. The proposed approach uses Feed Forward Network to construct the shares. The experimental results indicate that a solution to the pixel expansion problem of the EVCS is achieved. Moreover, the display quality of the recovered image is better than that obtained using other VC schemes. © 2015 SERSC.

Selvathi D.,Mepco Schlenk Engineering College, Sivakasi | Steffi M.S.,Unnamalai Institute of Technology
International Journal of Medical Engineering and Informatics | Year: 2015

Brain tumour segmentation is an important task in medical imaging. In this work, image features-based process is proposed to segment brain tumour in MRI images. For the segmentation of brain tumour, MRI brain images should be free from artefacts because it causes unwanted variation in the image and affects the performance of image processing techniques used for brain image analysis. The proposed system consists of three phases: preprocessing, feature extraction and segmentation. In preprocessing, the motion artefacts are corrected by spatial transformations. Texture features are extracted from the estimation of multifractal dimension using curvelet transform. Along with this feature, texton and intensity features are also considered. The fusions of all the features are fed to the modified adaboost classifier. BRATS 2013 dataset is used in this work along with its ground truth. The performance of the method is analysed in terms of sensitivity, specificity and accuracy. The proposed work gives higher accuracy on segmenting abnormal tissues compared with wavelet-based existing methods. Copyright © 2015 Inderscience Enterprises Ltd.

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