Dr Ambedkar Government College

Chennai, India

Dr Ambedkar Government College

Chennai, India
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Srinivasaraghavan R.,SCSVMV University | Seshadri S.,Dr Ambedkar Government College
Indian Journal of Pure and Applied Physics | Year: 2017

The FTIR and FT Raman vibrational analysis and the fundamental modes of N-((3-methyl-1-(phenylsulfonyl)-1H-indol-2-yl)methyl) acetamide [N3MP2MA] have been carried out. On the basis of quantum chemical calculations in B3LYP/6-31G(d,p) and B3LYP/6-311++G(d,p) levels the geometric parameters, vibrational analysis have been obtained. The experimental vibrational data have been compared with the wavenumbers derived theoretically. The intramolecular contacts have been interpreted using natural bond orbital (NBO) and natural localized molecular orbital (NLMO) analysis. Important non-linear properties such as electric dipole moment and first hyperpolarizability of N3MP2MA have been computed using B3LYP quantum chemical calculations. Finally, the HOMO-LUMO energy gap and the Mulliken population analysis on atomic charges of the title compound has been calculated.

Lavanya B.,University of Madras | Murugan A.,Dr Ambedkar Government College
International Journal of Engineering and Technology | Year: 2013

The problem of analysis of biological sequences, is the discovery of sequence similarity of various kinds, in the primary structure of related proteins and genes. This sequence search can be applied to various applications like discovery of association rules, strong rules, correlations, sequential rules, frequent episodes, multidimensional patterns and many other important discovery tasks. In this paper we have proposed two new approaches to find multidimensional LCS and SCS, of N sequences parallely, using DNA operations. These approaches can be used to find MLCS and MSCS, of any window size, from any number of sequences, and from any type of input data. The proposed work can be applied to finding diverging patterns, constraint MLCS, and many more related patterns Implementation results shown the correctness of the algorithms. Finally, the validity of the algorithms are checked and their time complexity is analyzed.

Shyamala K.,Dr Ambedkar Government College | Vijay Kumar K.,Center for Development of Advanced Computing of India
International Journal of Applied Engineering Research | Year: 2015

Data mining for Knowledge Discovery in Databases (KDD), an interdisciplinary field is required for gleaning insights out of heterogeneous datasets. This paper focuses on Text Mining, one such subfield of KDD; which has gained popularity with burgeoning usage on social media and sustenance of various formats of documentations viz., PDF, XML, HTML, DOC, etc. In this paper, we focus on the Distributed Text Mining on large corpora to showcase sentiment analysis on a movie review entity. The main target of this paper is to showcase the implementation aspects of opinion mining on distributed environment that involves choosing heuristics to discover the sentiment rating on a scale of 5. During the course of this paper, we provide cursory aspects on implementation of Sentiment Analysis to glean insights from movie review entity using Hadoop, RHadoop and its components to leverage distributed computing. The corpus dataset is stored in HDFS, processed using MapReduce and visualized using R via the tm [3, 4] package. © Research India Publications.

Bhaskaran A.,Dr Ambedkar Government College | Raghavan C.M.,Anna University | Mohankumar R.,Presidency College at Chennai | Jayavel R.,Anna University
Current Applied Physics | Year: 2010

Non-linear optical manganese mercury teterathiocyanate glycol monomethyl ether [MnHg(SCN)4(C3H8O2)] compound was synthesized and single crystals were grown from water-glycol monomethyl ether (1:1) mixed solvent by slow cooling method. Structure and crystallinity of the grown crystal were confirmed by both single crystal and powder X-ray diffraction analysis. Presence of functional groups and coordination of glycol monomethyl ether and thiocyanate in MMTG were confirmed by FT-IR analysis. Optical transmittance and second harmonic generation of the grown crystal were studied by UV-Vis spectrum and Kurtz powder technique. A dielectric study was performed on the MMTG single crystal to study the power dissipation of the material in the presence of alternating electric field. Mechanical behaviour was analysed using Vicker's microhardness test. Optical surface damage measurement was carried out to confirm the suitability of MMTG crystal for NLO applications. © 2010 Elsevier B.V. All rights reserved.

Arjunan S.,Sri Ramachandra University | Bhaskaran A.,Dr Ambedkar Government College | Kumar R.M.,Presidency College at Chennai | Mohan R.,Presidency College at Chennai | Jayavel R.,Anna University
Journal of Alloys and Compounds | Year: 2010

Effect of Thorium, Lanthanum and Cerium rare-earth ions on the growth and properties of l-arginine phosphate single crystals has been reported. The incorporation of rare-earth dopants into the l-arginine phosphate crystals is confirmed by Inductively Coupled Plasma-Mass Spectroscopy analysis. The unit cell parameters for pure and rare-earth doped l-arginine phosphate crystals have been estimated by powder X-ray diffraction studies. UV-visible studies revealed the transmittance percentage and cut-off wavelengths of the grown crystals. Powder second harmonic generation measurement has been carried out for pure and doped l-arginine phosphate crystals. The dielectric behavior of the grown crystals was analyzed for different frequencies at room temperature. The mechanical properties have been determined for pure and the doped l-arginine phosphate crystals. © 2010 Elsevier B.V. All rights reserved.

Shantha Visalakshi U.,Ethiraj College For Women | Shyamala K.,Dr Ambedkar Government College
International Journal of Engineering and Technology | Year: 2013

E-Learning, the new technology of supporting education and training, in recent times has been gaining a lot of attention. Content retrieval in e-learning refers the way by which the learning content is provided by means of electronic medium. It is an effective web-based learning paradigm, where many agents can be assigned with unique responsibilities to cope-up with the content retrieval by various users. Agent based system can manage the information stored in the e-learning environment, accessing and granting access permissions. Each task can be carried out by an autonomous agent and various such agents are grouped to form a multi-agent based system. Existing architectures do not consider the enhanced security measures, where it holds security as one among the agents. In the proposed architecture, security is enhanced at the network level and it wraps up all the other agents providing an enhanced security.

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