Tirunelveli, India
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Gethsiyal Augasta M.,Sarah Tucker College | Kathirvalavakumar T.,Vhnsn College
Neural Processing Letters | Year: 2011

Optimizing the structure of neural networks is an essential step for the discovery of knowledge from data. This paper deals with a new approach which determines the insignificant input and hidden neurons to detect the optimum structure of a feedforward neural network. The proposed pruning algorithm, called as neural network pruning by significance (N2PS), is based on a new significant measure which is calculated by the Sigmoidal activation value of the node and all the weights of its outgoing connections. It considers all the nodes with significance value below the threshold as insignificant and eliminates them. The advantages of this approach are illustrated by implementing it on six different real datasets namely iris, breast-cancer, hepatitis, diabetes, ionosphere and wave. The results show that the proposed algorithm is quite efficient in pruning the significant number of neurons on the neural network models without sacrificing the networks performance. © 2011 Springer Science+Business Media, LLC.


Gethsiyal Augasta M.,Sarah Tucker College | Kathirvalavakumar T.,Vhnsn College
Neural Processing Letters | Year: 2012

Artificial neural networks often achieve high classification accuracy rates, but they are considered as black boxes due to their lack of explanation capability. This paper proposes the new rule extraction algorithm RxREN to overcome this drawback. In pedagogical approach the proposed algorithm extracts the rules from trained neural networks for datasets with mixed mode attributes. The algorithm relies on reverse engineering technique to prune the insignificant input neurons and to discover the technological principles of each significant input neuron of neural network in classification. The novelty of this algorithm lies in the simplicity of the extracted rules and conditions in rule are involving both discrete and continuous mode of attributes. Experimentation using six different real datasets namely iris, wbc, hepatitis, pid, ionosphere and creditg show that the proposed algorithm is quite efficient in extracting smallest set of rules with high classification accuracy than those generated by other neural network rule extraction methods. © Springer Science+Business Media, LLC. 2011.


Augasta M.G.,Sarah Tucker College | Kathirvalavakumar T.,Vhnsn College
International Conference on Pattern Recognition, Informatics and Medical Engineering, PRIME 2012 | Year: 2012

Though neural networks have achieved highest classification accuracy for many classification problems, the obtained results may not be interpretable as they are often considered as black box. To overcome this drawback researchers have developed many rule extraction algorithms. This paper has discussed on various rule extraction algorithms based on three different rule extraction approaches namely decompositional, pedagogical and eclectic. Also it evaluates the performance of those approaches by comparing different algorithms with these three approaches on three real datasets namely Wisconsin breast cancer, Pima Indian diabetes and Iris plants. © 2012 IEEE.


Augasta M.G.,Sarah Tucker College | Kathirvalavakumar T.,Vhnsn College
Applied Soft Computing Journal | Year: 2012

In this paper we propose a new static, global, supervised, incremental and bottom-up discretization algorithm based on coefficient of dispersion and skewness of data range. It automates the discretization process by introducing the number of intervals and stopping criterion. The results obtained using this discretization algorithm show that the discretization scheme generated by the algorithm almost has minimum number of intervals and requires smallest discretization time. The feedforward neural network with conjugate gradient training algorithm is used to compute the accuracy of classification from the data discretized by this algorithm. The efficiency of the proposed algorithm is shown in terms of better discretization scheme and better accuracy of classification by implementing it on six different real data sets. © 2011 Elsevier B.V. All rights reserved.


Augasta M.G.,Sarah Tucker College | Kathirvalavakumar T.,Vhnsn College
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | Year: 2013

Discretization leads the improvement in classification accuracy and generalizes the problem well for further knowledge extraction. As a result researchers have developed various discretization methods for preprocessing the data. This paper provides a survey of existing discretization methods that preprocess the data for datamining. Also the paper evaluates the effectiveness of various discretization methods in terms of better discretization scheme and better accuracy of classification by comparing the performance of some traditional and recent discetization algorithms on six different real datasets namely Iris, Ionosphere, Waveform-5000, Wisconsin breast cancer, Hepatitis Domain and Pima Indian Diabetes. The feedforward neural network with conjugate gradient training algorithm is used to compute the accuracy of classification from the data discretized by those algorithms. © 2013 Springer International Publishing.


Malar J.,Sri Paramakalyani College | Chairman K.,Sri Paramakalyani College | Singh A.R.J.,University of Madras | Vanmathi J.S.,Sarah Tucker College | And 2 more authors.
Biotechnology Reports | Year: 2014

Lepidium sativum Linn. has been used in traditional and folklore medicine for the treatment of bronchial asthma, diabetes, local and rheumatic pain. An ethanolic extract of cress (L. sativum L.) shoot, leaf, stem and seed has been studied for antioxidative active against 1,1-diphenyl-2-picrylhydrazyl (DPPH), total glutathione S-transferase assay, reduced glutathione activity, reducing power (Fe3+-Fe2+ Transformation Ability), and ascorbic acid is also estimated. The percentage yields of free radical scavenging activity (DPPH) obtained for different ethanolic extracts of L. sativum. Supreme scavenging activity was detected in shoot (12.19 ± 02%) and least in stem (2.69 ± 05%). The activity of total glutathione S-transferase enzyme was found to be more in seed (9600 ± 56.3 μg/ml) than other plant parts. The reduced glutathione content of the ethanolic extracts of L. sativum was found to be more in leaf (9 ± 0.2 μg/ml). In the reducing power assay, ethanolic extracts gives the optical density in increasing concentration in all plant parts it shows that it has the reducing ability of Fe 3+-Fe2+. Presence of vitamin C was tested. It was found that the shoot extract has highest amount of vitamin C. The results of present data were shown that the ethanolic extract of L. sativum L. plant parts have contributed high potential in vitro antioxidant activity. © 2014 The Authors.


Ravindran Durai Nayagam B.,Popes College | Jebas S.R.,Government of Tamilnadu | Shakina J.,Sarah Tucker College | Murugesan R.,Tdmns College | Schollmeyer D.,University Mainz
Acta Crystallographica Section E: Structure Reports Online | Year: 2010

In the structure of the title compound, [KPt(C6H 4N3O)Cl2-(C6H5N 3O)(C12H24O6)], the PtII atom is in a distorted square-planar geometry. The crystal structure is consolidated by O - H⋯O hydrogen bonds. The measured crystal was a non-merohedral twin with four components.


Dailiah Roopha P.,Sarah Tucker College | Padmalatha C.,Mvm Government College | Ranjith Singh A.J.A.,Sri Paramakalyani College
Medicinal Plants | Year: 2012

Heavy metals entry may interfere with the physiological functioning of the human system and may alter female reproduction through direct or indirect mechanisms. The herbal preparations used for remediating the damaged reproductive function is composed of a mixture of 17 plant products that are powdered, mixed and normally given to women who are in the family way and parturition. The mixture is given to fortify the reproductive system and restore the hormonal activity in women, who has delivered a baby. Two different doses of cadmium (50 ppm and 200 ppm) were given to Wistar rats aged 45 and 65 days. An herbal extract derived from 17 plants was administered orally every day at a dose level of 200mg/kg of body weight to the rats exposed to cadmium. The hormones involved in reproductive system in the ovary, including LH, FSH, Estradiol, Testosterone and Progesterone which were associated with delayed puberty, Estrous cyclicity were measured in the control, cadmium-exposed rats without treatment and in the cadmium-exposed rats treated with herbal extract. The reduction in LH, FSH, Estradiol, Testosterone and Progesterone activity after cadmium exposure improved significantly in the rats treated with the herbal extract (p<0.05). The decrease of hormones due to cadmium exposure was reversed significantly with herbal extract administration. The synergistic effect of each bioactive compound in different herbal extracts requires further study.


Shakina J.,Sarah Tucker College | Lekshmi K.S.,Sri Devi Kumari Womens College | Raj G.A.G.,Scott Christian College
E-Journal of Chemistry | Year: 2012

Novel cross linked biopolyesters were synthesised from naturally available olive oil, oligomeric polytriglyceride fumarate (o-PTF) was prepared by glycerolysis of the olive oil followed by condensation with maleic anhydride. The (o-PTF) was characterised by spectral (FTIR, UV, NMR) and physicochemical properties (specific gravity, viscosity, saponification value, iodine value). The molecular weight of o-PTF was estimated using gel permeation chromatography (GPC). The cross linked biopolyesters were prepared by treating o-PTF of olive with N-vinyl-2-pyrrolidone and vinyl acetate. The cross linked biopolyesters were evaluated for spectral properties (FT IR), cross linked density, thermal properties, mechanical properties and biodegradation. The potential antifungal and anti bacterial activities of the newly prepared biopolyesters were evaluated. The environment degradation was assessed by soil burial test. The outcome of the studies has revealed that the newly prepared cross linked biopolyesters are potential biodegradable material for various consumer application like package materials and agricultural applications.


Dailiah Roopha P.,Rani Anna Government College for Women | Dailiah Roopha P.,Sarah Tucker College | Padmalatha C.,Rani Anna Government College for Women
Journal of Medical Toxicology | Year: 2012

Cadmium is one of the elements found to damage antioxidant systems in mammals. To ameliorate cadmium toxicity and to prevent oxidative stress, natural products may be useful. In Indian ethnobotanical practice, a mixture of 17 herbal products is used to fortify the reproductive system of women after parturition and to reverse ovarian oxidative stress. Oral administration of this extract to rats exposed to cadmium was useful in reversing oxidative stress. Two different doses of cadmium (50 ppm and 200 ppm) were given to Wistar rats aged 45 and 65 days. An herbal extract derived from 17 plants was administered orally every day at a dose level of 200 mg/kg of body weight to the rats exposed to cadmium. A battery of enzymes involved in antioxidant activity in the ovary, including superoxide dismutase (SOD), catalase, glutathione peroxidase (GPx) and glutathione-s-transferase (GST) were measured in the control, cadmium-exposed rats without treatment and in the cadmium-exposed rats treated with herbal extract. The reduction in SOD, catalase, GPx and GST activity after cadmium exposure improved significantly in the rats treated with the herbal extract (p<0. 05). The decrease of antioxidant enzymes due to cadmium exposure was reversed significantly with herbal extract administration. The synergistic effect of each bioactive compound in different herbal extracts requires further study. © 2011 American College of Medical Toxicology.

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