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Search Results: 1 - 10 of 632 matches for " Abhijit Shankarrao Bansod "
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LRS Bianchi Type-I Cosmological Model with Anisotropic Dark Energy and Special Form of Deceleration Parameter  [PDF]
Kishor Shankarrao Adhav, Rajesh Purushottam Wankhade, Abhijit Shankarrao Bansod
Journal of Modern Physics (JMP) , 2013, DOI: 10.4236/jmp.2013.48139
Abstract:

We have studied Locally Rotationally Symmetric (LRS) Bianchi type-I cosmological model filled with anisotropic fluid in general theory of relativity. The solutions of the field equations are obtained by using special form of deceleration parameter which gives early deceleration and late time accelerating cosmological model. The geometrical and physical aspect of the model is also studied.

Interacting Dark Fluids in LRS Bianchi Type-II Universe  [PDF]
Vijay Gulabrao Mete, Pratiksha Brahmadeo Murade, Abhijit Shankarrao Bansod
Open Access Library Journal (OALib Journal) , 2018, DOI: 10.4236/oalib.1104900
Abstract: At the present paper, Locally Rotationally Symmetric (LRS) Bianchi type-II cosmological model with interacting dark matter (DM) and holographic dark energy (DE) have been discussed. In order to obtain solutions of the field equations, it is assume that the shear scalar (σ) is proportional to expansion scalar (θ). To have a general description of holographic dark energy and dark matter, a phenomenological parameterization of dark energy in terms of its equation of state (EoS) has been taken. Statefinder diagnostic pair i.e.{r, s}is adopted to separate other existing dark energy models from this model. Here we discuss two models: when n=1/2, we obtain acyclic universe and the model converges into phantom region whereas when n=3/2, we get a expanding universe and the model converges into quintessence region. Some important geometrical and physical features regarding to this model have also been studied.
Higher dimensional bianchi type-V universe in creation-field cosmology  [PDF]
Kishor S. Adhav, Shivdas D. Katore, Abhijit S. Bansod, Prachi S. Gadodia
Natural Science (NS) , 2010, DOI: 10.4236/ns.2010.25060
Abstract: We have studied the Hoyle-Narlikar C-field cosmology with Bianchi type-V non static space- time in higher dimensions. Using methods of Narlikar and Padmanabham [1], the solutions have been studied when the creation field C is a function of time t only as space time is non static. The geometrical and physical aspects for model are also studied.
Analysis of Peanut Seed Oil by NIR  [PDF]
Babankumar Bansod, Ritula Thakur, Ronald Holser
American Journal of Analytical Chemistry (AJAC) , 2015, DOI: 10.4236/ajac.2015.612087
Abstract: Near infrared reflectance spectra (NIRS) was collected from Arachis hypogaea seed samples and used in predictive models to rapidly identify varieties with high oleic acid. The method was developed for shelled peanut seeds with intact testa. Spectra was evaluated initially by principal component analysis (PCA) followed by partial least squares (PLS). PCA performed with full spectra and reduced spectra with one principal component accounted for 97% to 99% variability, respectively. The PLS model generated from first derivative spectra provided a standard error of prediction (SEP) of 7.7204808. This technique provides a non-destructive method to rapidly identify high oleic peanut seeds to support the selection and cultivation of high oleic acid peanut varieties. The method can also be useful at peanut processing facilities for screening and quality assessments.
ANN Controlled VSC with Harmonic Reduction for VAR Control of Transmission Line
Ram Shankarrao Dhekekar,N V Srikanth
International Journal of Power Electronics and Drive Systems , 2012, DOI: 10.11591/ijpeds.v2i1.206
Abstract: Complete close-loop smooth control of reactive power can be achieved using shunt connected FACTS devices. STATCOM is one of the shunt connected FACTS device which can be utilized for the purpose of reactive power compensation. Intelligent FACTS devices make them adaptable and hence it is emerging in the present state of art. This paper presents close loop control techniques based on artificial neural networks (ANNs) to control reactive power generated by long transmission line over wide range so as to maintain constant voltage profile at the receiving end. With ANN technique and H-bridge multilevel VSC topology harmonics are eliminated to accepted level. A 9-Level H-Bridge VSC based STATCOM is used to handle the reactive power of the line .The close loop control is achieved by PI and neural network. . This paper is about real time simulation and implementation of PI controlled VSC STATCOM for 750km lab model of artificial transmission line. PI controller and neural network control schemes implemented and investigated. With Matlab simulation and actual testing proves that these devices when installed, they keep the bus voltage same as reference voltage (sending-end voltage). The results are prominent and give a way for real-time implementation of the proposed control schemes. These control schemes are simulated for the real-time control along with real-time modeling and simulations. Relative Harmonic analysis, for both the schemes are discussed. The results are prominent and give a way for real-time implementation
Digital Control of Static Var Compensator with Field Programmable Gate Array
Ram Shankarrao Dhekekar,N. V. Srikanth
International Journal of Reconfigurable and Embedded Systems (IJRES) , 2012, DOI: 10.11591/ijres.v1i3.548
Abstract: This paper is about real time simulation and implementation of FPGA Digital Control of Static VAR compensator for 750km lab model of artificial transmission line. In this paper, a new method of controlling SVC using Field Programmable Gate Array (FPGA) is suggested. FPGA controller is used to generate the firing pulses required to for Static Var Compensator. Pulses are synchronized with AC input; the delay of pulses determines the firing angle to driver circuit. The proposed control scheme has been realized using XILINX FPGA SPARTAN 2 XC2S200 and tested actual testing proves that these devices when installed, they keep the bus voltage same as reference voltage (sending-end voltage). The results are prominent and give a way for real-time implementation of the proposed control schemes. These control schemes are simulated for the real-time control along with real-time modeling and simulations.The results are prominent and give a way for real-time implementation
Tubercular sinus over manubrium sterni: a rare presentation
Nikhil Gupta,Niladhar Shankarrao Hadke,Nita Khurana
Clinics and Practice , 2011, DOI: 10.4081/cp.2011.e90
Abstract: Isolated sternal involvement in tuberculosis is rare. Very few case reports are available in literature even from the countries where tuberculosis is endemic. We are reporting a case of 32-year-old female who presented to us with a pus discharging sinus over manubrium sterni with no other systemic features of tuberculosis. Sinus tract was excised and biopsy confirmed tuberculosis. Patient received antitubercular therapy for 9 months.
AN APPLICATION OF HYBRID CLUSTERING AND NEURAL BASED PREDICTION MODELLING FOR DELINEATION OF MANAGEMENT ZONES
Babankumar S. Bansod,OP Pandey
International Journal on Computer Science and Engineering , 2011,
Abstract: Starting from descriptive data on crop yield and various other properties, the aim of this study is to reveal the trends on soil behaviour, such as crop yield. This study has been carried out by developing web application that uses a well known technique- Cluster Analysis. The cluster analysis revealed linkages between soil classes for the same field as well as between different fields, which can be partly assigned to crops rotation and determination of variable soil input rates. A hybrid clustering algorithm has been developed taking into account the traits of two clustering technologies: i) Hierarchical clustering, ii) K-means clustering. This hybrid clustering algorithm is applied to sensor- gathered data about soil and analysed, resulting in the formation of well delineatedmanagement zones based on various properties of soil, such as, ECa , crop yield, etc. One of the purposes of the study was to identify the main factors affecting the crop yield and the results obtained were validated with existing techniques. To accomplish this purpose, geo-referenced soil information has been examined. Also, based on this data, statistical method has been used to classify and characterize the soil behaviour. This is done using a prediction model, developed to predict the unknown behaviour of clusters based on the known behaviour of other clusters. In predictive modeling, data has been collected for the relevant predictors, a statistical model has been formulated, predictions were made and the model can be validated (or revised) as additional data becomes available. The model used in the web application has been formed taking into account neural network based minimum hamming distance criterion.
Vendor managed forecasting: A case study of small enterprise
Atul B. Borade,Satish Bansod
Journal of Industrial Engineering and Management , 2009, DOI: 10.3926/jiem..v2n1.p153-175
Abstract: Enterprises use supply chain management practices for improving business or supply chain performance. It is observed that supply chain technologies like VMI are now becoming an integral part of enterprise’s strategy. Even small and medium enterprises can adopt this practice and improve the performance of supply chain. This paper discusses vendor managed forecasting with the help of case study. It shows how a small enterprise improves supply chain performance by using demand related information obtained from retailer. The results obtained in the study shows that vendor managed forecasting in supply chain reduces the demand variation and improves inventory management significantly.
Single-Channel Speech Enhancement Using Critical-Band Rate Scale Based Improved Multi-Band Spectral Subtraction  [PDF]
Navneet Upadhyay, Abhijit Karmakar
Journal of Signal and Information Processing (JSIP) , 2013, DOI: 10.4236/jsip.2013.43040
Abstract:

This paper addresses the problem of single-channel speech enhancement in the adverse environment. The critical-band rate scale based on improved multi-band spectral subtraction is investigated in this study for enhancement of single-channel speech. In this work, the whole speech spectrum is divided into different non-uniformly spaced frequency bands in accordance with the critical-band rate scale of the psycho-acoustic model and the spectral over-subtraction is carried-out separately in each band. In addition, for the estimation of the noise from each band, the adaptive noise estimation approach is used and does not require explicit speech silence detection. The noise is estimated and updated by adaptively smoothing the noisy signal power in each band. The smoothing parameter is controlled by a-posteriori signal-to-noise ratio (SNR). For the performance analysis of the proposed algorithm, the objective measures, such as, SNR, segmental SNR, and perceptual evaluations of the speech quality are conducted for the variety of noises at different levels of SNRs. The speech spectrogram and objective evaluations of the proposed algorithm are compared with other standard speech enhancement algorithms and proved that the musical structure of the remnant noise and background noise is better suppressed by the proposed algorithm.

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