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The uniqueness, public recognition, firmness, and their least jeopardy of fingerprints made an extensively and proficiently utilized personal authentication metrics. Fingerprint technology is a biometric method that is used to recognize persons on the basis of their physical traits. These physical forms comprise of ridges and valleys prevailing on the surface of fingertips. Fingerprint images are direction-oriented pattern fashioned using ridges and valleys. The reputation of the fingerprint image regulates the durability of a fingerprint authentication scheme. For enhancing the restrictions of prevailing fingerprint image augmentation approaches we have proposed an effectual method to pact with various fingerprint images. The proposed methodology alienated into three modules. Primarily, the fingerprint image is endangered to denoising procedure where Wave atom transform is used. Once this procedure is accomplished the image augmentation is achieved for improving the classification rate. The morphological operation is used in our proposed technique in order to augment the image. The morphological operators such as dilation and area opening are used here for improvement. Finally the ordering of fingerprint image is done. Adaptive Genetic Neural Network (AGNN) is used for classification of images efficiently. [ABSTRACT FROM AUTHOR]

The nonlinear, steady state boundary layer flow, heat and mass transfer of an incompressible non-Newtonian Jeffrey’s fluid past a semi-infinite vertical plate is examined in this article. The transformed conservation equations are solved numerically subject to physically appropriate boundary conditions using a versatile, implicit finite-difference Keller box technique. The influence of a number of emerging non-dimensional parameters, namely Deborah number ( De) , ratio of relaxation to retardation times ( λ ) , Buoyancy ratio parameter ( N ), suction/injection parameter ( f w ) , Radiation parameter ( F ), Prandtl number ( Pr ), Schmidt number ( Sc ), heat generation/absorption parameter ( Δ ) and dimensionless tangential coordinate ( ξ ) on velocity, temperature and concentration evolution in the boundary layer regime is examined in detail. Also, the effects of these parameters on surface heat transfer rate, mass transfer rate and local skin friction are investigated. This model finds applications in metallurgical materials processing, chemical engineering flow control, etc. [ABSTRACT FROM AUTHOR]

This article presents the nonlinear, steady state mixed convection boundary layer flow, heat and mass transfer of an incompressible non-Newtonian Jeffrey’s fluid past a non-isothermal wedge. The transformed conservation equations are solved numerically subject to physically appropriate boundary conditions using a versatile, implicit finite-difference Keller box technique. The influence of a number of emerging non-dimensional parameters, namely Deborah number ( De ), ratio of relaxation to retardation times ( λ ), pressure gradient parameter ( m ), Buoyancy ratio parameter ( N ), mixed convection parameter ( λ 1 ) , radiation parameter ( F ) and heat generation/absorption parameter ( Δ ) on velocity, temperature and concentration evolution in the boundary layer regime is examined in detail. Also, the effects of these parameters on surface heat transfer rate , mass transfer rate and local skin friction are investigated. [ABSTRACT FROM AUTHOR]

Fingerprints are widely and successfully used for personal identification. This is mainly due to their individuality, stability through life, uniqueness among people, public acceptance and their minimum risk of intrusion. Fingerprint technology is a biometric technique utilized to identify persons based on their physical traits. The physical patterns of this technique consist of ridges and valleys that exist on the surface of fingertips. Fingerprint images are direction-oriented patterns formed by ridges and valleys. The eminence of the fingerprint image is determined by the sturdiness of a fingerprint authentication system. In order to improve the limitations of existing fingerprint image enhancement methods an efficient technique is proposed to deal with low quality fingerprint images. The proposed methodology can be divided into three modules. In the first module, the fingerprint image is subjected to denoising process where Wave atom transform is utilized. After the completion of this process the image enhancement is performed with the help of optimization algorithm. In our enhancement approach, a Modified Cuckoo Search (MCS) algorithm is used as an optimizer. This helps to look for the best gray level distribution that maximizes the objective function. [ABSTRACT FROM AUTHOR]

A mathematical study is presented to analyze the nonlinear, non-isothermal, magnetohydrodynamic (MHD) free convection boundary layer flow, heat and mass transfer of non-Newtonian Eyring–Powell fluid from a vertical surface in a non-Darcy, isotropic, homogenous porous medium, in the presence of Hall currents and ionslip currents. The governing nonlinear coupled partial differential equations for momentum conservation in the x , and z directions, heat and mass conservation, in the flow regime are transformed from an ( x , y , z ) coordinate system to a ( ξ , η ) coordinate system in terms of dimensionless x -direction velocity ( f ′) and z -direction velocity ( G ), dimensionless temperature and concentration functions ( θ and ϕ ) under appropriate boundary conditions. Both Darcian and Forchheimer porous impedances are incorporated in both momentum equations. Computations are also provided for the variation of the x and z direction shear stress components and also heat and mass transfer rates. It is observed that with increasing ɛ , primary velocity, secondary velocity, heat and mass transfer rates are decreased whereas, the temperature, concentration and skin friction are increased. An increasing δ is found to increase primary and secondary velocities, skin friction, heat and mass transfer rates. But the temperature and concentration decrease. Increasing β e and β i are seen to increase primary velocity, skin friction, heat and mass transfer rates whereas secondary velocity, temperature and concentration are decreased. Excellent correlation is achieved with a Nakamura tridiagonal finite difference scheme ( NTM ) . The model finds applications in magnetic materials processing, MHD power generators and purification of crude oils. [ABSTRACT FROM AUTHOR]

Query by Image Content Retrieval abbreviated as QBIR, has become new thirst now a days. By using this systems, user can retrieve the similar images of an already existed image (or) a rough sketch (or) a symbolic representation. To make more efficient and user friendly QBIR multiple features areemployed. This paper proposes a novel approach for image retrieval using adaptive k-means clustering and shape, texture features. The experimental results portraystheperformance of the proposed retrieval system in terms of better precision. To evaluate the proposed method COIL and MPEG-7 shape 1 datasets are used. [ABSTRACT FROM AUTHOR]

Buoyancy-driven convective heat and mass transfer in boundary layer flow of a viscoelastic Jeffrey fluid from a permeable isothermal sphere embedded in a porous medium is studied. Thermal radiation flux and heat generation/absorption are also incorporated in the model. A non-Darcy drag force model is employed to simulate the effects of linear porous media drag and second order Forchheimer drag. The Rosseland diffusion algebraic approximation is utilized to simulate thermal radiation effects. The non-dimensionalized boundary layer equations are solved using implicit, finite-difference scheme. The influence of Darcy number ( Da ), Deborah number ( De ), ratio of relaxation to retardation times ( λ ) , radiation parameter ( F ), Forchheimer inertial parameter ( Λ ) and heat generation/absorption parameter ( Δ ) , on normalized velocity, temperature, concentration, skin friction, heat and mass transfer rates are also studied. The present study has applications in the storage of nuclear waste materials. [ABSTRACT FROM AUTHOR]

The roots of innovation are extending towards every field to provide ace solution. We cater an ace solution for aquaculture, where their yields (shrimp, fish, etc.) depends on the ponds water characteristics. The parameters depending on water must kept at certain optimal levels for better cultivation of Aqua. The parameters of water extremely project alterations during the day and also alter depending upon the environmental conditions i.e., it is necessary to monitor these parameters with high frequency. We adopt wireless sensor networks to monitor aqua forms. This system consists of two modules, they are transmitter and receiver station. We navigate data to database at receiver station through the GSM. The graphical user interface was designed in such a manner that the observations are forwarded to the farmer as message in their respective local languages to their mobile phones. That alerts them in unhygienic environmental conditions for adopting suitable measures. [ABSTRACT FROM AUTHOR]

In software industry, automation plays a major role for improving the test efficiency of software test organisation. For ensuring test coverage satisfaction and thereby reducing risk, projects use more people for manual testing or use automation tools or techniques to improve the level of test automation. The choice of selection depends on reduction in project cycle time or reduction in time for test. This paper discusses about software automation steps and explains an algorithm for addressing the issues faced in system management automation of various services like DHCP, DNS, Firewall etc. Paper is written based on author's experience using various automation frame works. [ABSTRACT FROM AUTHOR]

Human beings can easily categorize a person's age group from a facial image where as this ability has not been promising in the computer vision community. To address this problem very important area of research, the present paper proposes a novel scheme of age classification system using features derived from co-occurrence parameters using Rank based Edge Texture Unit (RETU). The Co-occurrence Matrix (CM) on RETU characterizes the relationship between the neighbouring edge values, while preserving local information. The novelty of the proposed RETU is it classifies the age of human into seven categories i.e. in the age groups of 1-10, 11-20, 21-30, 31-40, 41-50, 51-60, and greater than 60. The TU of the proposed RETU ranges from 0 to 17 and thus reduces overall complexity in evaluating features from CM. The co occurrence features extracted from the RETU provide complete facial image information for age classification purpose. The RETU reduces each 3×3 sub image into 2×2 sub image while preserving the texture features and thus reduces the overall dimensionality of the image. [ABSTRACT FROM AUTHOR]

The boundary-layer flow and heat transfer of an incompressible Jeffreys viscoelastic fluid from a permeable horizontal circular cylinder is analyzed. The surface of the cylinder is maintained at a constant temperature. The boundary-layer conservation equations, which are parabolic in nature, are normalized into nonsimilar form and then solved numerically with the well-tested, efficient, implicit, stable Keller-box finite difference scheme. The variation of the reduced Nusselt number and local skin-friction coefficient with Deborah number and suction parameter, for various values of Prandtl number, and ratio of relaxation to retardation times are tabulated and provided in graphical form. It is found that the velocity is reduced with increasing Deborah number, whereas the temperature is increased. Increasing the ratio of relaxation to retardation times enhances the velocity but decreases the temperature. Increasing the Deborah number is observed to decrease the Nusselt number (heat transfer rate) and the skin-friction coefficient. Increasing the ratio of relaxation to retardation times is found to increase the Nusselt number (heat transfer rate) and the local skin friction. [ABSTRACT FROM AUTHOR]