Tiruchirappalli, India
Tiruchirappalli, India

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Sundar S.,Sathyabama University | Justin Koil Pillai Y.,St Josephs College Autonomous
Research Journal of Pharmacy and Technology | Year: 2016

The whole plant of Solanum incanum L is reported to have great medicinal value. It is found effective systemically in treating throat disorders like sore throat, angina, stomach-ache, colic, headache, painful menstruation, liver pain, pneumonia and rheumatism. It is also useful in the treatment of skin problems, including skin infections, ringworm, burns, sores, rashes, wounds, warts, carbuncles, conjunctivitis, ulcer and benign tumor. Different plant parts are used to treat snakebites. The present investigation was therefore undertaken to evaluate the macroscopic and physicochemical characters of Solanum incanum L leaves. The dried leaf powder was subjected to physicochemical and fluorescent analysis. The physicochemical properties such as loss on drying (4.45%), total ash value (16.5%), acid insoluble ash value (3.25%), water soluble ash value (9.5%), alcohol soluble extractive value (6.2%) and petroleum ether soluble extractive value (2.3%) were carried out. The fluorescent analysis was carried out using different chemicals. These studies provided crucial information for correct identification and standardization of this leaf material. Further studies may be carried out to characterize and screen the valuable compounds present in the leaves of this plant. © RJPT All right reserved.

Sundar S.,Sathyabama University | Justin Koil Pillai Y.,St Josephs College Autonomous
Asian Journal of Pharmaceutical and Clinical Research | Year: 2015

Objective: In the present study, the phytochemical constituents of Solanum incanum L. leaves have been evaluated by qualitative and gas chromatograph-mass spectrometer (GC-MS) method. Methods: The phytochemicals present in the petroleum ether, methanol, ethanol extract of S. incanum L. leaves was investigated by using GC Shimadzu QP2010 system and GC interfaced to a MS equipped with Elite-1 fused silica capillary column. The compounds were separated by using helium as the carrier gas at a constant flow rate of 1.51 ml/minutes. Software adopted to handle mass spectra and chromatograms were GC-MS solution ver. 2.53. Results: Preliminary studies showed the presence of carbohydrates, coumarins, flavonoid, phenol, steroids, and phytosteroids. In the GC-MS analysis of petroleum ether, ethanol, and methanol extract of S. incanum L. reported the presence of 12 components. The major chemical constituents are docosahexaenoic acid, 1,2,3 propanetriyl ether (retention time [RT] 9.18), ergoline-8-carboxylic acid, 10-methoxy-6-methyl-methyl ester, (8a) (RT 10.63), ascorbic acid 2,6-dihexadecanoate (RT 11.9), propanoic acid, 2-(3-acetoxy-4,4, 14 trimethylandrost-8-en-17-yl) (RT 12.44). Conclusion: This type of GC-MS analysis is the first step towards understanding the nature of active principles in this plant. The isolation of individual bioactive components and their biological activity are necessary for future studies and help to find new drugs. © 2015, Asian Journal of Pharmaceutical and Clinical Research. All rights reserved.

Lakshmana Gomathi Nayagam V.,National Institute of Technology Tiruchirappalli | Jeevaraj S.,National Institute of Technology Tiruchirappalli | Sivaraman G.,St Josephs College Autonomous
Soft Computing | Year: 2016

Any information system or decision model which consists of combinations of quantitative, qualitative, imprecise and incomplete informations can be modelled better using trapezoidal intuitionistic fuzzy numbers (TrIFNs) than interval valued intuitionistic fuzzy numbers. Ranking of TrIFNs plays an important role in intuitionistic fuzzy decision-making or intuitionistic fuzzy information system. In this paper, a new method for ranking of TrIFNs using membership, non-membership, vague and precise score functions which generalises the membership, non-membership, vague and precise score functions defined in Geetha et al. (Expert Syst Appl 41:1947–1954, 2014) is proposed and a new algorithm for solving information system problem with incomplete information is introduced. Further, the significance of our proposed method over the existing methods is studied by an illustrative example. © 2016 Springer-Verlag Berlin Heidelberg

George Amalarethinam D.I.,Jamal Mohamed College | Jude Nirmal V.,St Josephs College Autonomous
International Journal of Applied Engineering Research | Year: 2015

Text analytics has become the major necessity for any business-based applications, due to its capability to unearth information from user’s conversations and comments/ feedbacks. The major drawback concerning this approach is the absence of parallel processing techniques to operate on such huge data. This paper provides a comparison of sequential and parallel processing techniques in the phase of preprocessing. The measurements are carried out on the basis of the technique type (sequential/ parallel), environment used for computing and data set size. Conclusions drawn on the basis of time taken for the processing indicates that C# based parallel implementations fare well in terms of speed, but they tend to fail on huge datasets. Hadoop based parallelization, though it takes more time when compared to C#, it is scalable in terms of data, and the time increase is not linear. It also provides a complete framework for sentiment analysis for future research directions. © Research India Publications.

Kasthuri M.,Bishop Heber College | Britto Ramesh Kumar S.,St Josephs College Autonomous
International Journal of Applied Engineering Research | Year: 2015

Stemming is an important pre-processing technique extensively used in Information Retrieval for query processing and Machine Translation for reducing the data sparseness. There are various stemming approaches exists. But most of the existing stemmers are based on some language dependent rules which require the supervision of a language expert. This paper proposes a framework for Language Independent Stemmer which is hybridized with partial lemmatization for two morphologically different languages such as French and Hindi. An innovative attempt is being made to develop a stemming algorithm for a novel conflation method that exploits the quality of words and uses dynamic programming concepts like Levenshtein Distance and Longest Common Subsequence for stemming process. The evaluation has been made for four morphologically different languages such as English, French, Tamil and Hindi on 1858 words extracted from EMILLE corpus and internet. This approach can even support other Indian and Non-Indian languages. The proposed framework for language independent stemmer is implemented using PHP. © Research India Publications.

Stalin Mano Gibson M.,Government of Tamilnadu | Lawrence N.,St Josephs College Autonomous
International Journal of ChemTech Research | Year: 2014

Hydrogen is the promising medium for both energy transmission and storage. Hydrogen can be stored safely inside certain metals and alloys. Attempts have been made for selecting good energy storage media. In the present work, the diffusion of hydrogen and deuterium in the bcc substitutional alloy Cr0.7Fe0.3 and fcc substitutional alloy Ni0.5Fe0.5 have been reported in which Born-von Karman formalism with average atomic mass is used to compute the phonon dispersion. Mean Square Displacements (MSD) with hydrogen and deuterium interstitials are calculated for the temperature range 500K-1250K with normal to 2.5GPa pressure by applying Green's function technique and scattering matrix formalism. The diffusion parameters are calculated using reaction coordinate technique in which the diffusivity is characterized by the diffusion constant D= D0 exp ∈ Ea / kBT which determines the storage capacity of the given systems of study. The diffusion parameters obtained for Ni0.5Fe0.5 at normal pressure is D (cm2/s) = 7.6244 × 10−3exp(−92.4827 meV/kBT) whereas for Cr0.7Fe0.3 at normal pressure is D (cm2/s) = 4.327440 × 10−5 exp(−128.658 meV/kBT). On comparison, it is observed that the activation energy in Ni0.5Fe0.5 is very much less than that in Cr0.7Fe0.3and other experimental reported systems like Fe0.5Ti0.5 and Cr-Fe. It is observed that the diffusivity of Cr0.7Fe0.3 is 1000 times greater than that of Cr-Fe system for a given temperature. A gradual decrease of diffusivity with increase in pressure indicates that Cr0.7Fe0.3 should be maintained at constant pressure while using it as storage medium. Also the variation of diffusion parameter with pressure in Ni0.5Fe0.5 indicates that the pressure does not influence much on the diffusion of hydrogen isotopes. © 2014, Sphinx Knowledge House. All rights Reserved.

Selvakumar S.,St Josephs College Autonomous | Leo Rajesh A.,St Josephs College Autonomous
Journal of Materials Science: Materials in Electronics | Year: 2016

The organic nonlinear single crystals of urea para-nitrophenol (UPN) have been grown using slow evaporation solution growth technique. The formation of the organic product has been confirmed by CHN analysis. The structure of grown crystal was examined by single-crystal X-ray diffraction technique. The presences of functional groups were identified from FT-IR spectrum. The large transmittance properties of the crystal and its linear band gap energy of 3.18 eV inform that the material is suitable for optoelectronic applications. The TG–DTA curve confirms that the grown crystal was thermally stable up to 120 °C. Dielectric constant and dielectric loss values were also measured as a function of frequency between 5 Hz and 5 MHz and temperature from 40 to 100 °C. The second-harmonic generation efficiency of the UPN crystal is found to be 3.5 times greater than that of KDP crystal. The NLO parameters intensity dependent refractive index (n2), nonlinear absorption coefficient (β) and third-order susceptibility |χ3| were calculated using Z-scan techniques. The morphology of its UPN crystal was studied using SEM analysis. © 2016 Springer Science+Business Media New York

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