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Nalgonda, India

Vignan Institute of Technology & Science is one of the engineering institutions run by the Vignan group of Guntur. It was established in 1999 to offer undergraduate courses in Engineering and Technology. It is situated in Deshmukhi, a suburban region of Hyderabad, India.The college is affiliated to Jawaharlal Nehru Technological University, Hyderabad, Telangana.BTech programs offered are Computer Science and Engineering, Electrical & Electronics Engineering, Electronics and Communications Engineering, Electronics & Instrumentation Engineering, Instrumental & Control Engineering and Mechanical Engg. The Post Graduate courses offered are MBA, MCA and M.Tech. Wikipedia.

Vijayalaxmi,Gandhi Institute of Technology and Management | Rao P.S.,Vignan Institute of Technology and Science
International Conference on Intelligent Systems Design and Applications, ISDA | Year: 2012

Eye detection has many applications in computer vision systems. A novel approach of eye detection for facial images using Gabor Filter and support vector machine (SVM) is proposed in this paper. Eye/non-eye patterns are rotated by different angels using Gabor Filter and then used to train SVM. In the proposed approach first face is extracted using skin colour information and later using Lab transform and Morphological operations eye pair candidates are detected which are given to SVM classifier to classify the detected eye pair candidates as eye or non-eye. The Lab and HSV colour space are used for face extraction and to find eye pair candidates. Separable Gabor filters are used to decrease computation time and the rotation-invariant characteristics of the Gabor Filter makes this method robust against rotation. The proposed approach is tested on rotated images of the GTAV[13] database and is also experimented on videos captured at VITS and the success rate achieved is 96%. © 2012 IEEE. Source

Venkata Ramana M.,Vignan Institute of Technology and Science
International Journal of Applied Engineering Research | Year: 2015

Present investigation aims at optimizing the process parameters of CO2 moulding process for better Tensile Strength. Taguchi method has been successfully applied for the purpose. It is observed that % of sodium silicate and coal dust are the significant factors affecting Tensile Strength and out of these two sodium silicate has got more predominant effect. © Research India Publications. Source

Goura R.,Vignan Institute of Technology and Science
International Journal of Sustainable Energy | Year: 2015

In the near future, the power scenario across countries worldwide is expected to impact substantially on the solar photovoltaic system. This paper demonstrates the design and performance analysis of a 1000-kilowatt (kW)-grid-tied solar photovoltaic plant (PVP). The PVP is partitioned into four small solar PVPs of 250 kW each, consisting of an inverter and a combination of solar panels arranged in series and parallel. For better characterisation of overall plant performance, the power-generating system (solar PVP) is analysed by considering several parameters. After monitoring the plant over a span of one year, the data-based information is compiled by adding some final conditions and relative results on the PVP efficiency. Results show the annual performance ratio average was 0.77. © 2013, © 2013 Taylor & Francis. Source

Radha Rani K.,Rashtreeya Vidyalaya College of Engineering | Amarnath J.,JNTUH College of Engineering | Kamakshaiah S.,Vignan Institute of Technology and Science
International Review on Modelling and Simulations | Year: 2011

The electric power industry is in transition to a deregulated market place for power transactions. In this environment, all power transactions are made based on price rather than cost. In a deregulated energy marketplace, participants are interested in maximizing their own profits, regardless of the system-wide profits. It is perceived that the competition will reduce the price of electricity for retail customers; however, the key issue for participants is related with the price definition to remain competitive. With increased power transfer, transient stability is increasingly important for secure operation. Transient stability evaluation of large scale power systems is an extremely intricate and highly non-linear problem. An important function of transient evaluation is to appraise the capability of the power system to withstand serious contingency in time, so that some emergencies or preventive control can be carried out to prevent system breakdown. In practical operations correct assessment of transient stability for given operating states is necessary and valuable for power system operation. In this paper, transient stability analysis is used to test the stability of the system for contingency. Contingency analysis (CA) is critical in many routine power system and market analyses to show potential problems with the system. The proposed method is to analyze an IEEE 37-bus, 9-generator system with contingency using Power World simulator. © 2011 Praise Worthy Prize S.r.l. - All rights reserved. Source

Sekhar M.C.,Vignan Institute of Technology and Science | Venkatesulu A.,Government First Grade College | Mohan T.M.,Vasireddy Venkatadri Institute of Technology | Gowrisankar M.,Acharya Nagarjuna University
Oriental Journal of Chemistry | Year: 2015

The DFT method was used to study the hydrogen bonding interactions of 1:1 complexes which are formed between 2-chloroaniline with carboxylic acids at basis set of 6-311++G (d, p) with their optimized geometries, interaction energies, topological features of the electron density and vibrational frequencies. Thirteen 2-chloroaniline - carboxylic acid complexes were found on the potential energy surface involving N-H⋯N, H-O⋯H, N-H-O, O-H⋯N hydrogen bonds. The strength of the hydrogen bond between 2-chloroaniline - carboxylic acid complexes has been explored by calculation of stabilization energy (E(2)) between proton acceptor and proton donor under NBO analysis. The atoms in molecule (AIM) method is an excellent tool to find linear correlation that exist between the hydrogen bond length, electron density (ρ(r)) and its Laplacian (∇2ρ(r))) at the bond critical points. Source

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