Kalpataru Institute of Technology

Tiptūr, India

Kalpataru Institute of Technology

Tiptūr, India
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Ranganatha S.,Government Engineering College | Gowramma Y.P.,Kalpataru Institute of Technology
2016 International Conference on Computation System and Information Technology for Sustainable Solutions, CSITSS 2016 | Year: 2016

In video processing, face detection and tracking has a wide scope for research. Although existing algorithms serve the purpose of face detection and tracking in video sequences, tremendous development in video technologies is posing more challenges while processing such videos. In this paper, we propose a new face tracking method based on fusion of corner measure algorithm and KLT tracker. Initially, Viola-Jones algorithm detect the face present in the first frame of the video sequence, detected portion of the face is extracted and Harris corner measure algorithm applied. Once corner points are computed, centroid is calculated. The resulting corner points which are in the form of an array are converted into matrix. KLT is a point tracking algorithm, works based on Eigen values and its result is in the form of matrix. The matrix generated from corner measure and centroid computation is concatenated with the matrix obtained using KLT face tracking algorithm. If the corner measure algorithm fails to track the facial region then KLT tracker performs its work and the reverse is also true. The proposed algorithm achieves accuracy better than KLT algorithm alone. The results at the end of this paper clearly indicate the practical achievement of theoretical assumption made. © 2016 IEEE.


Manjunatha R.,SDM Institute of Technology | Kumar G.,SDM Institute of Technology | Chandrashekaraiah T.M.,Kalpataru Institute of Technology | Jagannatha N.,SJM Institute of Technology
International Journal of Mechanical Engineering and Technology | Year: 2016

In the recent years the usage of cast Al-Si alloy components in automotive and marine industries has increased significantly. Such alloys are invariably treated for modification and grain refinement prior to casting to achieve improved properties and performance. Grain refinement plays a crucial role in improving characteristics and properties of aluminum silicon eutectic (Al- 12Si) alloy. In the present research work, modified and grain refined Aluminium-Silicon alloys are synthesized from commercially available base alloys using die casting method. An attempt has been made to machine the eutectic Al-12Si (LM 6) alloy using CNC at different conditions. Modified Taguchi robust design analysis is employed to determine optimal combination of Machining parameters. The Analysis of Variance (ANOVA) is also applied to identify the most significant factor. It is found that the Depth of cut is the most significant factor on Material Removal Rate (MRR) and Feed rate is for Roughness of machined surface (Ra). It has been observed that there is good agreement between the predicted and experimental values of optimization. The influence of depth of cut and feed rate on MRR and Ra have been discussed. The addition of modifier and grain refiner had a crucial role in improving the mechanical properties in eutectic LM 6 alloy. © IAEME Publication.


Viswanatha B.M.,Kalpataru Institute of Technology | Kumar M.P.,Davangere University | Basavarajappa S.,Davangere University | Kiran T.S.,Kalpataru Institute of Technology
Iranian Journal of Materials Science and Engineering | Year: 2017

The effects of applied load, sliding speed and sliding distance on the dry sliding wear behavior of aged Al-SiCp-Gr composites were investigated. The specimen were fabricated by stir-casting technique. The pin-on-disc wear testing machine was used to investigate the wear rate by design of experiments based on L27 using Taguchi technique. Sliding distance was the most important variable that influenced the wear rate followed by sliding speed and applied load. The worn out surfaces were analyzed by SEM and EDS to study the subsurface mechanism of wear. The addition of reinforcements showed improved tribological behavior of the composite than base alloy. © 2017, Iran University of Science and Technology. All rights reserved.


Kiran T.S.,Kalpataru Institute of Technology | Prasanna Kumar M.,Visvesvaraya Technological University | Basavarajappa S.,Davangere University | Viswanatha B.M.,Kalpataru Institute of Technology
Materials and Design | Year: 2014

Dry sliding wear behavior of zinc based alloy and composite reinforced with SiCp (9. wt%) and Gr (3. wt%) fabricated by stir casting method was investigated. Heat treatment (HT) and aging of the specimen were carried out, followed by water quenching. Wear behavior was evaluated using pin on disc apparatus. Taguchi technique was used to estimate the parameters affecting the wear significantly. The effect of HT was that it reduced the microcracks, residual stresses and improved the distribution of microconstituents. The influence of various parameters like applied load, sliding speed and sliding distance on wear behavior was investigated by means and analysis of variance (ANOVA). Further, correlation between the parameters was determined by multiple linear regression equation for each response. It was observed that the applied load significantly influenced the wear volume loss (WVL), followed by sliding speed implying that increase in either applied load or sliding speed increases the WVL. Whereas for composites, sliding distance showed a negative influence on wear indicating that increase in sliding distance reduces WVL due to the presence of reinforcements. The wear mechanism of the worn out specimen was analyzed using scanning electron microscopy. The analysis shows that the formation and retention of ceramic mixed mechanical layer (CMML) plays a major role in the dry sliding wear resistance. © 2014 Elsevier Ltd.


Aravind B.N.,Kalpataru Institute of Technology | Suresh K.V.,Siddaganga Institute of Technology
Proceedings - 2014 5th International Conference on Signal and Image Processing, ICSIP 2014 | Year: 2014

The problem of reconstructing digital images from degraded measurement is regarded as a problem of importance in various fields of engineering and imaging science. The main goal of denoising is to restore an image from its noisy version to obtain a visually high quality image. In this paper we propose a novel method that uses Markov random field (MRF) for image denoising. First, the image is modeled as MRF and then the maximum a posteriori (MAP) estimation method is used to derive the cost function. Afterwards it is optimized to obtain denoised image. The result is compared with traditional spatial domain methods. The visual and quantitative evaluation suggests that the proposed method yields better results. © 2014 IEEE.


Mallikarjuna C.,Al Jabal Al Garbhi University | Shashidhara S.M.,Kalpataru Institute of Technology | Mallik U.S.,Siddaganga Institute of Technology | Parashivamurthy K.I.,Siddaganga Institute of Technology
Materials and Design | Year: 2011

A salt base exothermic reaction process has been employed to produce aluminum alloy 2014 matrix-TiB2 composites using an exothermic reaction process at 850°C using K2TiF6 and KBF4 salts. The period of exothermic reaction was varied from a minimum of 15min to a maximum of 45min to investigate the relationship between the degree of reaction and the growth behavior of TiB2 formed. These have been compared with commercially available aluminum alloy 2014 material. Structural and wear properties have been measured. These show that TiB2 is extremely effective in enhancing wear properties in addition to significantly reducing the coefficient of friction. The microstructure and phase composition of the materials obtained were studied using X-ray diffraction and scanning electron microscopy (SEM). Very fine ceramic particles were obtained in the aluminum alloy matrix. © 2011.


Aravind B.N.,Kalpataru Institute of Technology | Suresh K.V.,Siddaganga Institute of Technology
Journal of Intelligent Systems | Year: 2012

The problem of reconstructing digital images from degraded measurements is regarded as a problem of importance in various fields of engineering and imaging science. The main goal of denoising is to restore a noisy image to produce a visually high quality image. In this paper, we propose a novel transform domain technique that uses multispinning for image denoising. The proposed method uses multiple cyclic shifted versions of an image, where each of them would capture more detail information during decomposition. Discrete wavelet transform (DWT) and contourlet transform (CT) in association with multispinning is used. The results are compared with traditional transform (soft thresholding) and spatial domain techniques. The visual and quantitative evaluation suggests that the proposed method yields better results. © de Gruyter 2012.


Prashantha S.,Siddaganga Institute of Technology | Mallikarjun U.S.,Siddaganga Institute of Technology | Shashidhara S.M.,Kalpataru Institute of Technology
Applied Mechanics and Materials | Year: 2014

Cu-Al-Be ternary alloy was prepared by ingot metallurgy route. Cu-Al-Be SMAs exhibit good shape memory properties. With the addition of Cr as quaternary alloying element to the ternary Cu- Al-Be alloys, their shape memory properties have been improved. The ternary alloy was added with 0.1, 0.2, 0.3 and 0.4wt. % Cr. The influence of the quaternary alloy was analyzed by Optical microscope, Hardness, Strain recovery and transformation temperature. With increase in Cr content, good grain refinement and less hardness have been observed. Good strain recovery was found in 0.2% wt. Cr added alloy. © (2014) Trans Tech Publications, Switzerland.


Aravind B.N.,Kalpataru Institute of Technology | Suresh K.V.,Kalpataru Institute of Technology
Proceedings of 2014 International Conference on Contemporary Computing and Informatics, IC3I 2014 | Year: 2014

Digital images gets degraded due to several reasons. The aim of denoising involves the restoration of signal to yield visually good quality representation. In this paper, we are referring to an image corrupted by additive Gaussian noise. The image is modeled as MRF and maximum-a-posteriori (MAP) estimate is obtained using graduated non-convexity technique. Results suggest that the proposed technique yields better compared to other techniques. © 2014 IEEE.


Aravind B.N.,Kalpataru Institute of Technology | Suresh K.V.,Kalpataru Institute of Technology
International Conference on Trends in Automation, Communication and Computing Technologies, I-TACT 2015 | Year: 2015

Image is one of the most important part of multi-media that is used in several areas from simple photography to medical and satellite imaging. In each field its usage and requirements are very different. So, an image required to be clean and free from artifacts to convey better information. But, acquisition is always associated with some sort of degradation that may be due to atmospheric conditions, camera sensors and/or lighting conditions. In this paper we are considering the degradation only due to noise and in specific additive Gaussian noise. Here, we are proposing to use a dual step approach for denoising. In the first step it uses stationary wavelet based denoising and in continuation to second step, a spatial domain method, Non-local means, is used to remove the artifacts. The simulation is done on both real and synthetic images and it shows an improvement over existing methods. Image is one of the most important part of multi-media that is used in several areas from simple photography to medical and satellite imaging. In each field its usage and requirements are very different. So, an image required to be clean and free from artifacts to convey better information. But, acquisition is always associated with some sort of degradation that may be due to atmospheric conditions, camera sensors and/or lighting conditions. In this paper we are considering the degradation only due to noise and in specific additive Gaussian noise. Here, we are proposing to use a dual step approach for denoising. In the first step it uses stationary wavelet based denoising and in continuation to second step, a spatial domain method, Non-local means, is used to remove the artifacts. The simulation is done on both real and synthetic images and it shows an improvement over existing methods. © 2015 IEEE.

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