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Edison T.N.J.I.,Yeungnam University | Atchudan R.,Yeungnam University | Kamal C.,VSA Group of Institutions | Lee Y.R.,Yeungnam University
Bioprocess and Biosystems Engineering | Year: 2016

In this study, a simple and green method has been demonstrated for the synthesis of highly stable silver nanoparticles (AgNPs) using aqueous extract of Caulerpa racemosa (C. racemosa) as a reducing and capping agent. The formation and stability of AgNPs were studied using visual observation and UV–Visible (UV–Vis) spectroscopy. The stable AgNPs were further characterized by X-ray diffraction (XRD), Fourier transform infrared (FT-IR) spectroscopy and high resolution transmission electron microscopy (HR-TEM) with energy dispersive spectroscopic (EDS) methods. The biosynthesized AgNPs showed a sharp surface plasmon resonance peak at 441 nm in the visible region and they have extended stability which has been confirmed by the UV–Vis spectroscopic results. XRD result revealed the crystalline nature of synthesized AgNPs and they are mainly oriented in (111) plane. FT-IR studies proved that the phytoconstituents of C. racemosa protect the AgNPs from aggregation and also which are responsible for the high stability. The size of synthesized AgNPs was approximately 25 nm with distorted spherical shape, identified from the HR-TEM images. The synthesized AgNPs showed excellent catalytic activity towards degradation of methylene blue. © 2016 Springer-Verlag Berlin Heidelberg Source


Gobinathan L.,VSA Group of Institutions | Boopathy K.,Government Engineering College
Der Pharma Chemica | Year: 2015

Single crystals of pure and KI doped L-Asparagine monohydrate (LAM) were grown by slow evaporation method at room temperature. Transparent, bulk single crystals of size 10×3×3 mm3 were harvested in ten days. The lattice parameters were calculated by single crystal X-ray diffraction analysis. The effect of KI doping on the growth, optical and mechanical properties have been investigated. The presence of various functional groups has been identified by FTIR spectral analysis. UV-Vis-NIR spectrum was recorded to study the optical transmittance and absorbance of grown crystal. The mechanical strength of the grown crystal was estimated from Vickers microhardness test. The dielectric constant and dielectric loss measurements were carried out on the grown crystal for various temperatures. Chemical etching study was carried out using optical microscopy to study the dislocation, surface defects and morphology. Source


Venkatesh G.,Bharathiar University | Govindaraju M.,Arignar Anna Government Arts College | Vennila P.,Thiruvalluvar Government Arts College | Kamal C.,VSA Group of Institutions
Journal of Theoretical and Computational Chemistry | Year: 2016

The FT-IR and FT-Raman analyses of 2-nitro acetophenone (2NAP) have been carried out by density functional theory (DFT) calculations based on B3LYP level with 6-31G∗/6-311+G∗∗basis set. The gauge-independent atomic orbital (GIAO) method has been used to get 1H NMR and 13C NMR chemical shifts. From DFT calculations, various parameters such as atomic charges, HOMO-LUMO energies and Dipole moment have been obtained. The molecular electronic potential (MEP) has also been derived for 2NAP. In order to find the electronic excitation energies, oscillator strength and nature of the respective excited states, the closed-shell singlet calculation has been utilized. MOLVIB program has been employed to calculate total energy distribution (TED) and normal coordinate analysis. Natural bond orbital (NBO) analysis has also been carried out by DFT calculations with B3LYP/6-311+G∗∗basis set. © 2016 World Scientific Publishing Company. Source


Vijay J.F.,Pannimalar Engineering College | Manoharan C.,VSA Group of Institutions
Journal of Computer Science | Year: 2010

Problem statement: Software engineering is not only a technical discipline of its own. It is also a problem domain where technologies coming from other disciplines are relevant and can play an important role. One important example is knowledge engineering, a term that we use in the broad sense to encompass artificial intelligence, computational intelligence, knowledge bases, data mining and machine learning. We see a number of typical software development issues that can benefit from these disciplines and, for the sake of clarifying the discussion, we have divided them into four categories: (1) planning, monitoring and quality control of projects, (2) The quality and process improvement of software organizations, (3) decision making support, (4) automation. Approach: First, the planning, monitoring and quality control of software development was typically based unless it is entirely ad-hoc on past project data and/or expert opinion. Results: Several techniques coming from machine learning, computational intelligence and knowledge-based systems had shown to be useful in this context. Second, software organizations are inherently learning organizations, that need to improve, based on experience and project feedback, the way they develop software in changing and volatile environments. Large amounts of data, numerous documents and other forms of information are typically gathered on projects. The question then became how to enable the intelligent storage and use of such information in future projects. Third, during the course of a project, software engineers and managers have to face important, complex decisions. They need decision models to support them, especially when project pressure is intense. Techniques originally developed for building risk models based on expert elicitation or optimization heuristics can play a key role in such a context. The last category of applications concerns automation. Many automation problems, such as test data generation, can be formulated as constraint solving problems. A number of metaheuristic algorithms can be adapted for that purpose and have shown to be practically usable and flexible to adjust to numerous situations. Conclusion: This study discussed all the points above, identify open issues and future research directions and provide some carefully selected, key pointers for further reading. © 2010 Science Publications. Source


Maheswaran G.,VSA Group of Institutions | Elangovan K.,PSG College of Technology
International Journal of Earth Sciences and Engineering | Year: 2015

Geoelectrical survey using the electrical resistivity method was carried out in Salem District, Tamil Nadu to investigate groundwater resource potential. Applying the Schlumberger array method, a total of sixty(60) Vertical Electrical Soundings (VES) were conducted covering the entire area except hilly region. The VES data were processed by the resistivity sounding interpretation software IPI2WIN. Quantitative and qualitative interpretations of data were carried out to determine the nature and thickness of the aquifer zone. Four to five geoelectric layers were delineated from the survey area. The first layer and second layer which is the topsoil has resistivity values ranging from 3.03 - 5834 Ωm and 2.26 - 15218Ωm and the thickness is between 0.11 – 15.7 m and0.08 - 20.18 m. The third and fourth geoelectric layers are made up of clay and granite/basalts with thickness varying from 0.91 – 27.52 & 8.73 - 90.16m which corresponds to an aquifer horizon. Based on the apparent resistivity and processed VES results spatial distribution maps for weathered layer thickness and depth to basement was generated. The integrated map was finally compared with yield data and the result reveals that Good groundwater potential zones were present in foot hills of Pedhanaickenpalayam and Valapadi blocks, north of Attur block and major portions of Nangavalli block. © 2015 CAFET-INNOVA Technical Society All rights reserved. Source

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