Shri Gs Institute Of Technology And Science

Indore, India

Shri Gs Institute Of Technology And Science

Indore, India

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Arya L.D.,Shri Gs Institute Of Technology And Science | Choube S.C.,Rajiv Gandhi Technical University
International Journal of Electrical Power and Energy Systems | Year: 2012

This paper describes a technique for selection of buses in a sub transmission system for location of distributed generation (DG) and determination of their optimum capacities by minimizing transmission losses. The buses have been selected based on incremental voltage (dV/dP) sensitivities. Line flow constraints have been accounted. Type-3 DG i.e. wind turbine along with induction generator has been considered for the study. Differential evolution (DE) has been used to evaluate the optimum DG capacity and results have been compared with those obtained using bare bones particle swarm optimization (BBPSO) and multi-membered non-recombinative (μ + λ) evolution strategy (MMNRES). The developed algorithms have been implemented on standard 6-bus and 30-bus test systems. © 2012 Elsevier Ltd. All rights reserved.


Arya L.D.,Shri Gs Institute Of Technology And Science | Choube S.C.,Rajiv Gandhi University | Arya R.,Medi Caps Institute of Science and Technology
International Journal of Electrical Power and Energy Systems | Year: 2011

This paper describes a methodology for reliability enhancement of radial distribution system by determining optimal values of repair times and failure rates of each section. Penalty cost functions have been constructed as function of failure rates and repair times. Constraints on customer and energy based indices, i.e. SAIFI, SAIDI, CAIDI and AENS have been considered. The problem has been decomposed in two stages. One stage determines the optimum failure rates and second stage optimizes repair times satisfying constraints. A population based approach, i.e. differential evolution (DE) has been used as optimization technique. The algorithm has been implemented on a sample test system. Results obtained have been compared with those obtained using particle swarm optimization (PSO) and co-ordinated aggregation based particle swarm optimization techniques (CAPSO). © 2010 Elsevier Inc. All rights reserved.


Arya R.,Medi Caps Institute of Science and Technology | Choube S.C.,Rajiv Gandhi University | Arya L.D.,Shri Gs Institute Of Technology And Science
International Journal of Electrical Power and Energy Systems | Year: 2012

This paper describes an analytical methodology for reliability evaluation and enhancement of distribution system having distributed generation (DG). Standby mode of operation of DG has been considered for this purpose. Reliability of the composite distribution system has been optimized with respect to failure rate and repair time of each section of the distribution system subject to constraints on (i) failure rates/ repair times and (ii) customer and energy based reliability indices i.e. SAFI, SAIDI, CAIDI and AFNS. The objective function includes (i) cost of modification for failure rates/repair times (ii) additional cost of expected energy supplied by DG. Differential evolution (DE), Particle swarm optimization (PSO) and co-ordinated aggregation based PSO (CAPSO) have been used to develop computational algorithms. Developed algorithms have been implemented on a sample distribution system. © 2012 Elsevier Ltd. All rights reserved.


Tiwari S.,Shri Gs Institute Of Technology And Science | Tiwari S.,Indian Institute of Technology Delhi | Bijwe J.,Indian Institute of Technology Delhi | Panier S.,Ecole Des Mines de Douai
Wear | Year: 2011

Chemical inertness and hence limited wettability of carbon fibers (CF) with a selected matrix is the major problem for exploiting its full potential as reinforcement. Oxidation of CF with nitric acid is a classical method for treatment of CF which increases oxidative groups on fiber surface leading to enhanced adhesion with the matrix, but at the cost of damage to the fibers leading to reduction in strength. Thus the treatment has to be for optimum time to strike a balance between these opposite effects so that the composite will have best combination of performance properties. In depth studies on this aspect, however, are not reported especially in tribological studies. Hence nitric acid treatment was employed to carbon fabric for various time intervals (15-180 min). Eight composites with untreated and acid treated fabrics were developed based on polyetherimide (PEI) matrix and evaluated for mechanical and abrasive wear properties. It was observed that 90 min treatment time was ideal one to achieve maximum possible enhancement in strength and tribological properties. Fiber-matrix adhesion was improved due to inclusion of oxygenated functional groups as supported by Fourier transform infrared-attenuated total reflectance (FTIR-ATR) spectroscopy and increased surface roughening of fibers as supported by scanning electron microscopic (SEM) studies. © 2011 Elsevier B.V.


Jain M.L.,Shri Gs Institute Of Technology And Science | Govind Dhande S.,Indian Institute of Technology Kanpur | Vyas N.S.,Indian Institute of Technology Kanpur
Robotics and Computer-Integrated Manufacturing | Year: 2011

Clubfoot is a challenging structural foot abnormality in babies and generally occurs at birth or during childhood. Due to this the abnormal posturing of the foot causes the babies to turn the ankle inward and walk along the outside edges of the foot. In medical science it is known as "congenital talipes equino varus" (CTEV). Computer modeling of prosthesis and orthosis is a perspective method for optimal design and gait is a terminology related to walking patterns of human subject. The present study aims to develop the virtual model of ankle foot orthosis through computer-aided design for non-surgical correction of this challenging clubfoot deformity. Study of gait cycle for normal healthy subject is discussed and by using 3D-modeling in CAD environment, an ankle foot orthosis for clubfoot treatment is generated. This realized the evolution of a non-surgical corrective procedure for the challenging clubfoot abnormalities in babies. © 2010 Elsevier Ltd. All rights reserved.


Jain Pancholi N.,Shri Gs Institute Of Technology And Science | Gupta S.,P.A. College | Sapre N.,SGSITS | Sapre N.S.,Shri Gs Institute Of Technology And Science
Molecular BioSystems | Year: 2014

Researchers are on the constant lookout for new antiviral agents for the treatment of AIDS. In the present work, ligand based modeling studies are performed on analogues of substituted phenyl-thio-thymines, which act as non-nucleoside reverse transcriptase inhibitors (NNRTIs) and novel leads are extracted. Using alignment-dependent descriptors, based on group center overlap (SALL, HDALL, HAALL and RALL), an alignment-independent descriptor (S log P), a topological descriptor (Balaban index (J)) and a 3D descriptor dipole moment (μ) and shape based descriptors (Kappa 2 index (2κ)), a correlation is derived with inhibitory activity. Linear and non-linear techniques have been used to achieve the goal. Support Vector Machine (SVM, R = 0.929, R2 = 0.863) and Back Propagation Neural Network (BPNN, R = 0.928, R2 = 0.861) methods yielded near similar results and outperformed Multiple Linear Regression (MLR, R = 0.915, R2 = 0.837). The predictive ability of the models are cross-validated using a test dataset (SVM: R = 0.846, R2 = 0.716, BPNN: R = 0.841, R2 = 0.707 and MLR: R = 0.833, R2 = 0.694). It is concluded that the hydrophobicity (S log P) and the polarity (μ) of a ligand and the presence of hydrogen donor (HDALL) moieties are the deciding factors in improving antiviral activity and pharmaco-therapeutic properties. Based on the above findings, a virtual dataset is created to extract probable leads with reasonable antiviral activity as well as better pharmacophoric properties. © 2014 The Royal Society of Chemistry.


Arya L.D.,Shri Gs Institute Of Technology And Science | Koshti A.,IPS Academy | Choube S.C.,Rajiv Gandhi University
International Journal of Electrical Power and Energy Systems | Year: 2013

This paper presents a methodology for composite distribution system well being analysis based on non-sequential Monte Carlo simulation technique accounting uncertainties in capacity of distribution substation and distributed generation (DG). The method is based on a system state transition sampling approach which is used to calculate frequency and duration indices along with probabilities in healthy state, marginal state and risky state for a composite distribution system. Capacity of distribution substation and distributed generations are considered as normally distributed i.e. continuous capacity. The effectiveness of the method for evaluation of annual well being indices is demonstrated for a sample test system with DG capacity variation considering a seven step load model based on annual load duration curve. A comparative study is carried out which illustrates the effect of distributed generation capacity on well being indices of a distribution system. © 2012 Elsevier Ltd. All rights reserved.


Sharma S.,Shri Gs Institute Of Technology And Science | Singh B.,Indian Institute of Technology Delhi
IET Power Electronics | Year: 2012

This study deals with an implementation of a constant speed permanent magnet synchronous generator (PMSG)-based three-phase stand-alone wind energy conversion system (SWECS). The voltage and frequency controller is realised using only a single voltage source converter (VSC) and a battery energy storage system (BESS). The BESS is used to provide load levelling under varying wind speeds and to control frequency of SWECS. The voltage of PMSG is regulated under varying wind speeds and loads by supplying the reactive power from VSC. The performance of SWECS is demonstrated as a load leveller, a load balancer, a harmonic compensator and a voltage and frequency controller. © 2012 The Institution of Engineering and Technology.


Gupta N.,Shri Gs Institute Of Technology And Science | Amritphale S.S.,Advanced Materials and Processes | Chandra N.,Advanced Materials and Processes
Bioresource Technology | Year: 2010

Hybrid precursor (HP) of silicon and carbon was synthesized from rice hulls by a novel low temperature method, using sol-gel route. The potential of hybrid precursor to remove Zn (II) ions from aqueous solutions was investigated under different experimental conditions. Hybrid precursor removes Zn (II) ions with efficiency higher than 95% at low concentration. The data revealed that initial uptake was rapid and equilibrium was established in 30 min. Pseudo first order, Pseudo second order and Intraparticle diffusion kinetic models were applied to the kinetic data and it was found that adsorption process followed pseudo second order with activation energy of 1.093 kJ mol -1. Zn (II) removal was quantitatively evaluated using Langmuir and Freundlich isotherm model and monolayer sorption capacity show the value 28.76 mg/g indicating the affinity of HP for Zn (II) ions. The negative value of Gibbs free energy obtained in this study with hybrid precursor confirms the feasibility and spontaneous nature of adsorption process. © 2009 Elsevier Ltd. All rights reserved.


Kumar S.,Shri Gs Institute Of Technology And Science | Tiwari M.,Shri Gs Institute Of Technology And Science
Journal of Chemometrics | Year: 2013

A grid potential analysis employing a novel approach of 3D quantitative structure-activity relationships (QSAR) as AutoGPA module in MOE2009.10 was performed on a dataset of 42 compounds of N-arylsulfonylindoles as anti-HIV-1 agents. The uniqueness of AutoGPA module is that it automatically builds the 3D-QSAR model on the pharmacophore-based molecular alignment. The AutoGPA-based 3D-QSAR model obtained in the present study gave the cross-validated Q2 value of 0.588, r2 pred value of 0.701, r2 m statistics of 0.732 and Fisher value of 94.264. The results of 3D-QSAR analysis indicated that hydrophobic groups at R1 and R2 positions and electron releasing groups at R3 position are favourable for good activity. To find similar analogues, virtual screening on ZINC database was carried out using generated AutoGPA-based 3D-QSAR model and showed good prediction. In addition to those mentioned earlier, in-silico ADME absorption, distribution, metabolism and excretion profiling and toxicity risk assessment test was performed, and results showed that majority of compounds from current dataset and newly virtually screened hits generated were within their standard limit. © 2013 John Wiley & Sons, Ltd.

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