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Rao A.S.,Veermata Jijabai Technological Institute | Dharap M.A.,Veermata Jijabai Technological Institute | Venkatesh J.V.L.,SGGSIE and T
International Journal of Manufacturing, Materials, and Mechanical Engineering | Year: 2015

FDM (Fused Deposition Modelled) parts are chemically treated with two types of chemicals viz Dimethyl ketone (Acetone) and Methyl ethyl ketone to reduce the surface roughness. This chemical treatment method not only reduces surface roughness but also makes effect on strength of chemically treated parts of ABS (Acrylonitrile Butadiene Styrene) material. In this study Taguchi method of DOE (Design of Experiments) is used on test specimen of "tensile", "bending" and "izod impact" components which are manufactured through Fused Deposition Modeling process using ABS-P400 material. DOE is conducted to optimize the effect of chemical treatment process parameters on strength of above specimen. The process parameters considered for the DOE are "different levels of concentration of chemical, temperature, time, layer thickness etc. ANOVA (Analysis of variance) is used to know the significance of contribution of each of these parameters. Results reveal that the prototypes when treated at optimum condition the tensile strength, flexural strength and izod impact strength improved significantly. Copyright © 2015, IGI Global. Source

Sonkamble S.,MMCOE | Thool R.,SGGSIE and T | Sonkamble B.,PICT
Journal of Theoretical and Applied Information Technology | Year: 2010

The term Biometrics is becoming highly important in computer security world. The human physical characteristics like fingerprints, face, hand geometry, voice and iris are known as biometrics. These features are used to provide an authentication for computer based security systems. The existing computer security systems used at various places like banking, passport, credit cards, smart cards, PIN, access control and network security are using username and passwords for person identification. The username and passwords can be replaced and/or provide double authentication by using any one of the biometric features. In this paper, the main focus is on the various biometrics, their applications and the existing biometrics recognition systems. © 2005-2010 JATIT. All rights reserved. Source

Sonkamble B.A.,Pune Institute of Computer Technology | Doye D.D.,SGGSIE and T
Journal of Computer Science | Year: 2011

Problem statement: To accept the inputs as spoken word utterances uttered by various speakers, recognize the corresponding spoken words and initiate action pertaining to that word. Approach: A novel Linear-Polynomial (LP) Kernel function was used to construct support vector machines to classify the spoken word utterances. The support vector machines were constructed using various kernel functions. The use of well known one-versus-one approach considered with voting algorithm. Results: The empirical results compared by implementing various kernel functions such as linear kernel function, polynomial kernel function and LP kernel functions to construct different SVMs. Conclusion: The generalization performances based on the One-versus-One approach for speech recognition were compared with the novel LP kernel function. The SVMs using LP kernel function classifies the spoken utterances very efficiently as compared to other kernel functions. The performance of the novel LP kernel function was outstanding as compared to other kernel functions. © 2011 Science Publications. Source

Jadhav D.V.,Vishwakarma Institute of Technology | Holambe R.S.,SGGSIE and T
Pattern Recognition Letters | Year: 2010

This paper presents an in-plane rotation (tilt), illumination invariant pattern recognition framework based on the combination of the features extracted using Radon and discrete cosine transforms and kernel based learning for face recognition. The use of Radon transform enhances the low frequency components, which are useful for face recognition and that of DCT yields low dimensional feature vector. The proposed technique computes Radon projections in different orientations and captures the directional features of the face images. DCT applied on Radon projections provides frequency features. Further, polynomial kernel Fisher discriminant analysis implemented on these features enhances discrimination capability of these features. The technique is also robust to zero mean white noise. The feasibility of the proposed technique has been evaluated using FERET, ORL, and Yale databases. © 2009 Elsevier B.V. All rights reserved. Source

Chandane M.M.,VJTI | Bhirud S.G.,VJTI | Bonde S.V.,SGGSIE and T
Communications in Computer and Information Science | Year: 2013

Energy consumption is a major challenge in wireless sensor network (WSN). Most of the routing algorithms focus on energy efficient paths, For the analysis of such algorithms at low cost and in less time; we believe that, simulation gives the better approximation. Therefore, in this paper, we are proposing a simulation model for WSN. Literature survey is done on energy-aware routing protocols, in which, it is found that, Minimum Total Transmission Power Routing (MTPR) and Minimum Battery Cost Routing (MBCR) Protocol, most comprehensively captures tradeoffs of energy efficiency and network lifetime respectively. Proposed simulation model is implemented using Qualnet 4.5 and applied to MTPR and MBCR to analyze its performance. Through this study, we lay a foundation for further research work on enhancements in extending the network lifetime of WSN. Experimental result shows that there is always a tradeoff between energy efficiency and network lifetime. © 2013 Springer-Verlag. Source

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