Sathyavikasini K.,PSGR Krishnammal College For Women |
Vijaya M.S.,PSGR Krishnammal College For Women
Advances in Intelligent Systems and Computing | Year: 2017
Hereditary traits are anticipated by the mutations in the gene sequences. Identifying a disease based on mutations is an essential and challenging task in the determination of genetic disorders such as Muscular dystrophy. Silent mutation is a single nucleotide variant does not result in changes in the encoded protein but appear in the variation of codon usage pattern that results in disease. A new ensemble learning-based computational model is proposed using the synonymous codon usage for identifying the muscular dystrophy disease. The feature vector is designed by calculating the Relative Synonymous Codon Usage (RSCU) values from the mutated gene sequences and a model is built by adopting codon usage bias pattern. This paper addresses the problem by formulating it as multi-classification trained with feature vectors of fifty-nine RSCU frequency values from the mutated gene sequences. Finally, a model is built based on ensemble learning LibD3C algorithm to recognize muscular dystrophy disease classification. Experiments showed that the accuracy of the classifier shows 90%, which proves that ensemble-based learning, is effective for predicting muscular dystrophy disease. © Springer Nature Singapore Pte Ltd. 2017.
Banupriya C.V.,PSGR Krishnammal College For Women
Advances in Intelligent Systems and Computing | Year: 2014
The Electrocardiogram (ECG) is of significant importance in assessing patients with abnormal activity in their heart. ECG Recordings of the patient taken for analyzing the abnormality and classify what type of disorder present in the heart functionality. There are several classes of heart disorders including Premature Ventricular Contraction (PVC), Atrial Premature beat (APB), Left Bundle Branch Block (LBBB), Right Bundle Branch Block (RBBB), Paced Beat (PB), and Atrial Escape Beat (AEB).To analyze ECG various feature extraction methods and classification algorithms are used. The proposed work employed discrete wavelet transform (DWT) in feature extraction on ECG signals obtained from MIT-BIH Arrhythmia Database. The Machine Learning Techniques, Support Vector Machine (SVM) and Extreme Learning Machine (ELM) have been used to classify four types of heart beats that include PVC, LBBB, RBBB and Normal. The Performance of the classifiers are analyzed and observed that ELM-Radial Basis Function Kernel taken less time to build model and out performs SVM in predictive accuracy.
Lakshmi V.S.,PSGR Krishnammal College For Women
Procedia Engineering | Year: 2012
Phishing is one of the luring techniques used by phishing artist in the intention of exploiting the personal details of unsuspected users. Phishing website is a mock website that looks similar in appearance but different in destination. The unsuspected users post their data thinking that these websites come from trusted financial institutions. Several antiphishing techniques emerge continuously but phishers come with new technique by breaking all the antiphishing mechanisms. Hence there is a need for efficient mechanism for the prediction of phishing website. This paper employs Machine-learning technique for modelling the prediction task and supervised learning algorithms namely Multi layer perceptron, Decision tree induction and Naïve bayes classification are used for exploring the results. It has been observed that the decision tree classifier predicts the phishing website more accurately when comparing to other learning algorithms.
Balavijayalakshmi J.,PSGR Krishnammal College For Women |
Suriyanarayanan N.,Government College of Technology, Coimbatore
Materials Letters | Year: 2012
Copper substituted cobalt ferrite nano particles Co (1 - x)Cu xFe 2O 4 (where x = 0, 0.2, 0.4, 0.6, 0.8, 1) are successfully synthesized using co-precipitation method and samples are sintered at 900 °C. The average nano crystalline sizes are found to be in the range of 37-52 nm. As the copper concentration increases, the magnetization of the octahedral sites and hence the net magnetization decreases. It is also observed that the saturation magnetization (Ms), remanent magnetization (Mr) and coercivity (Hc) decrease with increase in copper substitution. The frequency of the absorption band around 600 cm -1 is shifted to a lower value. Plates and sponge like surface morphology of copper mixed ferrites are studied. © 2012 Elsevier B.V. All rights reserved.
Sangeetha S.,PSGR Krishnammal College For Women
7th International Conference on Intelligent Systems and Control, ISCO 2013 | Year: 2013
In a Multimodal biometric system, the effective fusion method is necessary for combining information from various single modality systems. Two biometric characteristics are considered in this study: iris and fingerprint. Multimodal biometric system needs an effective fusion scheme to combine biometric characteristics derived from one or more modalities. The score level fusion is used to combine the characteristics from different biometric modalities. Fusion at the score level is a new technique, which has a high potential for efficient consolidation of multiple unimodal biometric matcher outputs. Support vector machine and extreme learning techniques are used in this system for recognition of biometric traits. In this, the Fingerprint-Iris system provides better performance and comparison of support vector machine and extreme learning machine based on score-level fusion methods is obtained. In score-level fusion, ELM provides better performance as compare to the SVM. It reduces the classification time of current system. This work is valuable and makes an efficient accuracy in such applications. This system can be utilized for person identification in several applications. © 2013 IEEE.
Kavitha T.,PSGR Krishnammal College For Women |
Kavitha T.,Kyungpook National University |
Yuvaraj H.,Yeungnam University
Journal of Materials Chemistry | Year: 2011
This report describes a new approach to successfully synthesize high-quality nickel oxide (NiO) nanorods with an average diameter of about 60 nm and a length of less than one micrometre via thermal decomposition of a precursor complex nickel benzoate dihydrazinate at 100 °C. The structural features, crystallinity, purity and morphology of the as-synthesized NiO nanorods were investigated by Raman spectroscopy, X-ray diffraction (XRD), scanning electron microscopy (SEM), selected area electron diffraction (SAED) and transmission electron microscopy (TEM). The electrochemical property of the as-synthesized NiO nanorods was investigated to determine their suitability as anode materials for lithium-ion batteries. The nanorod electrode exhibited better reversibility and high capacity. In addition, the nanorods showed good antibacterial properties. The magnetic measurement demonstrated that the NiO nanorods are ferromagnetic and may be used in the fields of MR imaging and magnetic drug delivery. © 2011 The Royal Society of Chemistry.
Muthulakshmi Andal N.,PSGR Krishnammal College For Women |
E-Journal of Chemistry | Year: 2010
Biosorption equilibrium and kinetics of Pb(II) and Hg(II) on coconut shell carbon (CSC) were investigated by batch equilibration method. The effects of pH, adsorbent dosage, contact time, temperature and initial concentration of Pb(II) and Hg(II) on the activated carbon of coconut shell wastes were studied. Maximum adsorption of Pb(II) occurred at pH 4.5 and Hg(II) at pH 6. The sorptive mechanism followed the pseudo second order kinetics. The equilibrium data were analysed by Langmuir, Freundlich and Dubinin- Radushkevich isotherm models. The equilibration data fitted well with both Langmuir and Freundlich isotherm model. The Langmuir adsorption capacity for Pb(II) was greater than Hg(II). The mean free energy of adsorption calculated from Dubinin- Radushkevich (D-R) isotherm model indicated that the adsorption of metal ions was found to be by chemical ion exchange. Thermodynamic parameter showed that the sorption process of Pb(II) onto SDC was feasible, spontaneous and endothermic under studied conditions. A comparison was evaluated for the two metals.
Ruban P.,Alagappa University |
Gajalakshmi K.,PSGR Krishnammal College For Women
Asian Pacific Journal of Tropical Biomedicine | Year: 2012
Objective: To access the in vitro antibacterial activity of Hibiscus rosa-sinensis (H. rosa- sinensis)flower extract against human pathogens. Methods: Antibacterial activity was evaluated by using disc and agar diffusion methods. The protein was run through poly acrylmide gel electrophoresis to view their protein profile. Results: The results showed that the cold extraction illustrates a maximum zone of inhibition against Bacillus subtillis (B. subtillis), Escherichia coli (E. coli) viz., (17.00 ± 2.91), (14.50 ± 1.71) mm, followed by hot extraction against, E. coli, Salmonella sp. as (11.66 ± 3.14), (10.60 ± 3.09) mm. In methanol extraction showed a highest zone of inhibition recorded against B. subtillis, E. coli as (18.86 ± 0.18), (18.00 ± 1.63) mm pursued by ethanol extraction showed utmost zone of inhibition recorded against Salmonella sp. at (20.40 ± 1.54) mm. The crude protein from flower showed a maximum inhibitory zone observed against Salmonella sp., E. coli viz., (16.55 ± 1.16), (14.30 ± 2.86) mm. The flower material can be taken as an alternative source of antibacterial agent against the human pathogens. Conclusions: The extracts of the H. rosasinensis are proved to have potential antibacterial activity, further studies are highly need for thedrug development.
Saranya J.,PSGR Krishnammal College For Women |
Sounthari P.,PSGR Krishnammal College For Women |
Parameswari K.,PSGR Krishnammal College For Women |
Chitra S.,PSGR Krishnammal College For Women
Measurement: Journal of the International Measurement Confederation | Year: 2016
The corrosion inhibition of mild steel in 1 M H2SO4 using acenaphtho[1,2-b]quinoxaline and acenaphtho[1,2-b]pyrazine at 303-333 K have been investigated. The study was performed using weight loss method, potentiodynamic polarization, and electrochemical impedance spectroscopy (EIS). Polarization measurements proved that the inhibitors behave as mixed-type. EIS data showed that the charge transfer resistance of mild steel increases in acid solution containing inhibitors. The surface morphology was evaluated using scanning electron microscope (SEM), atomic force microscopy (AFM) techniques. Density functional theory (DFT) at the B3LYP/6-311G(d,p) basis set level was performed. Excellent correlation was found between experimental and theoretical results. © 2015 Elsevier Ltd. All rights reserved.
Dasami P.M.,PSGR Krishnammal College For Women |
Parameswari K.,PSGR Krishnammal College For Women |
Chitra S.,PSGR Krishnammal College For Women
Measurement: Journal of the International Measurement Confederation | Year: 2015
Two novel Schiff bases derived from heterocyclic amines and aldehydes were synthesized and evaluated as corrosion inhibitors for mild steel in 1MH2SO4 by mass loss and electrochemical techniques. Inorder to understand the mechanism of inhibition, adsorption isotherms were tested. The studies showed that the inhibition efficiency depends on concentration of inhibitor and temperature of measurements. Electrochemical studies showed that the inhibitors behave as mixed type. Quantum chemical studies were used to substantiate the experimental results. © 2015 Elsevier Ltd. All rights reserved.