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Dol S.M.,Walchand Institute of Technology
Proceedings - IEEE 7th International Conference on Technology for Education, T4E 2015 | Year: 2015

Fe.g. is an animated flowchart with example which can be used for algorithm based subjects. In Fe.g., first the working of algorithm is demonstrated with the help of animated flowchart and then the step by step working of algorithm with the help of example. So this activity is considered for the subject System Programming of Third Year Computer Science and engineering. One group pre-test pots-test model is considered to test the effectiveness of this activity. The results are also explained in this paper. © 2015 IEEE. Source

Indi T.S.,Walchand Institute of Technology
2013 IEEE International Conference on Emerging Trends in Computing, Communication and Nanotechnology, ICE-CCN 2013 | Year: 2013

Traditionally biometric features like fingerprint and iris pattern are used for unique identification of a person. Recent evolution in biometric is use of ear for identification. A system is presented here for person identification using ear features and or thumbprint. In our system, minutiae points extracted from scanned thumb print of a person and digitally captured ear image is processed to extract ear features (Helix rim, Lobule, Triangularfossa, Concha and Tragus). These extracted features are stored into database for matching process. The minutiae points are used to uniquely identify a person and in matching process projection lines used to quantify ear features. Matching process gives matched profile as a result of system in graphical format as well as textual format with tolerance limit of ± 15%. The matching algorithm will be using this text data to find target person profile. © 2013 IEEE. Source

Kashid S.S.,Walchand Institute of Technology | Maity R.,Indian Institute of Technology Kharagpur
Journal of Hydrology | Year: 2012

Prediction of Indian Summer Monsoon Rainfall (ISMR) is of vital importance for Indian economy, and it has been remained a great challenge for hydro-meteorologists due to inherent complexities in the climatic systems. The Large-scale atmospheric circulation patterns from tropical Pacific Ocean (ENSO) and those from tropical Indian Ocean (EQUINOO) are established to influence the Indian Summer Monsoon Rainfall. The information of these two large scale atmospheric circulation patterns in terms of their indices is used to model the complex relationship between Indian Summer Monsoon Rainfall and the ENSO as well as EQUINOO indices. However, extracting the signal from such large-scale indices for modeling such complex systems is significantly difficult. Rainfall predictions have been done for 'All India' as one unit, as well as for five 'homogeneous monsoon regions of India', defined by Indian Institute of Tropical Meteorology. Recent 'Artificial Intelligence' tool 'Genetic Programming' (GP) has been employed for modeling such problem. The Genetic Programming approach is found to capture the complex relationship between the monthly Indian Summer Monsoon Rainfall and large scale atmospheric circulation pattern indices - ENSO and EQUINOO. Research findings of this study indicate that GP-derived monthly rainfall forecasting models, that use large-scale atmospheric circulation information are successful in prediction of All India Summer Monsoon Rainfall with correlation coefficient as good as 0.866, which may appears attractive for such a complex system. A separate analysis is carried out for All India Summer Monsoon rainfall for India as one unit, and five homogeneous monsoon regions, based on ENSO and EQUINOO indices of months of March, April and May only, performed at end of month of May. In this case, All India Summer Monsoon Rainfall could be predicted with 0.70 as correlation coefficient with somewhat lesser Correlation Coefficient (C.C.) values for different 'homogeneous monsoon regions'. © 2012 Elsevier B.V. Source

Maity R.,Indian Institute of Technology Kharagpur | Kashid S.S.,Walchand Institute of Technology
Water Resources Research | Year: 2011

Basin-scale streamflow is influenced by numerous local and global climate inputs. In this paper, genetic programming (GP) is combined with "importance analysis" to identify the important global climate inputs and local meteorological variables needed for prediction of weekly streamflow at the basin scale. The analysis is carried out for the Mahanadi River in India using global climate inputs, namely, the El Nio-Southern Oscillation (ENSO) index and equatorial Indian Ocean Oscillation (EQUINOO) index; local meteorological inputs, including outgoing longwave radiation (OLR), total precipitable water (TPW), temperature anomaly (TA), and pressure anomaly (PA); and streamflow information from previous time steps. The rainfall information over the basin is intentionally not utilized so that the procedure may be applicable to basins with little or no rain gauge information and to achieve a longer prediction lead time. The Birnbaum importance measure is used to assess the importance of each input. Results of this study show that the relative importance of individual input variables is influenced by time lags. It is observed that among various local meteorological inputs, OLR and PA are more important than TA and TPW. Among large-scale circulation indices, ENSO index is important for previous 5th to 7th week, whereas EQUINOO index is important for previous 3rd to 6th week. On the basis of their importance measures, 15 indices were selected from the initial group of 30 indices. The GP-derived streamflow forecasting models could predict weekly streamflow with good accuracy (correlation coefficient r = 0.821) for such a complex system. Source

Abel M.S.,Gulbarga University | Tawade J.V.,Walchand Institute of Technology | Shinde J.N.,Swamy Vivekananda Institute of Technology andra Pradesh
Advances in Mathematical Physics | Year: 2012

An analysis is performed to investigate the effect of MHD and thermal radiation on the two-dimensional steady flow of an incompressible, upper-convected Maxwells (UCM) fluid in presence of external magnetic field. The governing system of partial differential equations are transformed into a system of coupled nonlinear ordinary differential equations and is solved numerically by efficient shooting technique. Velocity and temperature fields have been computed and shown graphically for various values of physical parameters. For a Maxwell fluid, a thinning of the boundary layer and a drop in wall skin friction coefficient is predicted to occur for the higher elastic number which agrees with the results of Hayat et al. 2007 and Sadeghy et al. 2006. The objective of the present work is to investigate the effect of elastic parameter β, magnetic parameter Mn, Eckert number Ec, Radiation parameter N, and Prandtl number Pr on flow and heat transfer charecteristics. © 2012 M. Subhas Abel et al. Source

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