Channabasaveshwara Institute of Technology

Gubbi, India

Channabasaveshwara Institute of Technology

Gubbi, India
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Kavyashree D.,Channabasaveshwara Institute of Technology | Kumari R.A.,Sree Siddaganga College for Women | Nagabhushana H.,Tumkur University | Sharma S.C.,Dr Hari Singh Gour University | And 6 more authors.
Journal of Luminescence | Year: 2015

Abstract Europium ions doped (1-11 mol%) ZnO nanoparticles (NPs) were synthesized by a facile green synthesis method using Guizotia abyssinica as fuel. The obtained ZnO:Eu3+ (1-11 mol%) NPs were characterized by using powder X-ray diffraction studies (PXRD), scanning electron microscopy (SEM) and photoluminescence (PL) techniques. The dependency of dopant concentration on the crystal structure, surface morphology and luminescence properties was discussed in detail. The particle size and the existing states of the ions within the material were analyzed by TEM and XPS respectively. The PL emission of ZnO:Eu3+ NPs shows characteristics transitions of Eu3+ ions. It has been demonstrated that intrinsic defects may act as the media in the energy transfer process from the ZnO host to Eu3+ ions. The CIE chromaticity and CCT confirms the phosphor material as orange red emitting hence it was quite useful in display applications. © 2015 Elsevier B.V.

Raghavendra R.,University of Mysore | Ashok R.,Channabasaveshwara Institute of Technology | Kumar G.H.,University of Mysore
Journal of Computer Science and Technology | Year: 2010

Multimodal biometric fusion is gaining more attention among researchers in recent days. As multimodal biometric system consolidates the information from multiple biometric sources, the effective fusion of information obtained at score level is a challenging task. In this paper, we propose a framework for optimal fusion of match scores based on Gaussian Mixture Model (GMM) and Monte Carlo sampling based hypothesis testing. The proposed fusion approach has the ability to handle: 1) small size of match scores as is more commonly encountered in biometric fusion, and 2) arbitrary distribution of match scores which is more pronounced when discrete scores and multimodal features are present. The proposed fusion scheme is compared with well established schemes such as Likelihood Ratio (LR) method and weighted SUM rule. Extensive experiments carried out on five different multimodal biometric databases indicate that the proposed fusion scheme achieves higher performance as compared with other contemporary state of art fusion techniques. © 2010 Springer Science+Business Media, LLC &Science Press, China.

Raghavendra R.,Institute Tlcom | Dorizzi B.,Institute Tlcom | Rao A.,Channabasaveshwara Institute of Technology | Hemantha Kumar G.,University of Mysore
Pattern Recognition | Year: 2011

This paper presents two novel image fusion schemes for combining visible and near infrared face images (NIR), aiming at improving the verification performance. Sub-band decomposition is first performed on the visible and NIR images separately. In both cases, we further employ particle swarm optimization (PSO) to find an optimal strategy for performing fusion of the visible and NIR sub-band coefficients. In the first scheme, PSO is used to calculate the optimum weights of a weighted linear combination of the coefficients. In the second scheme, PSO is used to select an optimal subset of features from visible and near infrared face images. To evaluate and compare the efficacy of the proposed schemes, we have performed extensive verification experiments on the IRVI database. This database was acquired in our laboratory using a new sensor that is capable of acquiring visible and near infrared face images simultaneously thereby avoiding the need for image calibration. The experiments show the strong superiority of our first scheme compared to NIR and score fusion performance, which already showed a good stability to illumination variations. © 2010 Elsevier Ltd. All rights reserved.

Lakshmeesha T.R.,Bangalore University | Sateesh M.K.,Bangalore University | Prasad B.D.,BMS College of Engineering | Sharma S.C.,North Park University | And 3 more authors.
Crystal Growth and Design | Year: 2014

For the first time, different morphologies of zinc oxide (ZnO) superstructures are synthesized by a simple and environmental friendly route using Nerium oleander leaf extract as fuel. Powder X-ray diffraction, scanning electron microscopy, UV-visible spectroscopy, and photoluminescence studies are performed to ascertain the formation and characterization of ZnO. X-ray diffraction confirmed the crystalline nature of the compound with hexagonal Wurtzite structure. When the concentration of the leaf extract is varied, different morphologies are formed. ZnO are tested for antifungal using soybean seed-borne fungi by food-poison method and antibacterial activity against bacterial human pathogens by a broth microplate dilution method using 96-well plates. Among the screened soybean seed-borne fungi, Fusarium equisiti was found to be more susceptible, which was followed by Macrophomina phaseolina for ZnO nanoparticles (NPs) prepared using 0.2188 mol/dm3 N. oleander leaf extract. It was observed that NPs exhibited pronounced antifungal activity in a dose-dependent manner with a relatively high percentage of mycelial inhibition. ZnO obtained with the concentration of 0.2188 mol/dm3 leaf extract showed both minimum inhibitory concentration and minimum bactericidal concentration effectiveness compared to other synthesized compounds. It is observed that the samples with small crystallite size show greater antibacterial activity than those of larger crystallite size. Further, we found that crystallite size and morphology significantly affects the antibacterial activity of ZnO. Prepared compounds showed significant inhibition against Escherichia coli, Staphylococcus aureus, Bacillus subtilis, and Pseudomonas aeurginosa. Among the tested bacteria, P. aeurginosa is more susceptible and E. coli is the least effective against bacterial pathogens. The antibacterial activities of the as-formed ZnO are preliminarily studied against Gram-positive (B. subtilis and S. aureus) and Gram-negative (E. coli and P. aeruginosa) bacteria and are found to be dependent on the shape of the nanostructures. © 2014 American Chemical Society.

Suresh D.S.,Channabasaveshwara Institute of Technology | Sekar R.,Channabasaveshwara Institute of Technology | Rajendra C.J.,Channabasaveshwara Institute of Technology
International Journal of Applied Engineering Research | Year: 2014

Energy saving has become the hot topic nowadays, one of the issue always been discussed. Usually lighting consumes a lot of electrical energy every day all around the world Smart Lighting is a lighting technology designed for energy efficiency where it detects the environment changes through sensors and acts to correct the offset cause by the environment. With the aid of automated lighting, the lights are turned ON if there is person in the room and turned OFF when there is none. Smart Lighting is designed in such a way that the system is able to integrate with the most different types of sensors to control the lights effectively. Available Smart lighting systems are costlier. Thus the design of the MSP430 based Smart Lighting system using Power Line Communication need to be cost effective and low power consumption embedded applications. © Research India Publications.

Sudhikumar G.S.,Channabasaveshwara Institute of Technology | Mohan Kumar D.D.,Al Jassra Readymix | Kumar M.N.,Somat Infrastructure Pvt Ltd
Indian Concrete Journal | Year: 2016

The concrete composites play an important role in the field of concrete. The addition of fibers to concrete enhances the strength properties and ductility characteristics. Ferrocement is light weight and versatile material having high cracking, ductility and fatigue resistance and is additionally impermeable to make it far superior than reinforced concrete. It is used for prefabricated residential units, marine and industrial structures. Slurry infiltrated fiber concrete (SIFCON) could be considered as a special type of fiber concrete with high fiber content. The matrix consists of cement slurry or flowing cement mortar. This composite material withstands blast loading and can be used for pre-stressed concrete beams and safe vaults. Slurry infiltrated fibrous ferrocement (SIFF) is a combination of SIFCON and ferrocement and can overcome the limitations of latter. SIFF can be used for the structures like runways in aerodromes, industrial floors etc. This paper deals with an experimental investigation on the strength characteristics of SIFF with partial replacement of natural sand with peak percentage of fiber on the strength characteristics of slurry infiltrated fibrous ferrocement. The results indicated that with 1.5% of steel or galvanized iron fiber and 1% of polypropylene fiber , and with 60% replacement of natural sand by manufactured sand for steel or galvanized iron fiber and 50% replacement of natural sand by manufactured sand for polypropylene fiber yields higher compressive strength, a higher energy absorptive material which can result in higher flexural strength, toughness indices and impact strength.

Chandrasekhar M.,Tumkur University | Chandrasekhar M.,Acharya Institute of Technology | Nagabhushana H.,Tumkur University | Sudheerkumar K.H.,BMS College of Engineering | And 5 more authors.
Materials Research Bulletin | Year: 2014

Dysprosium oxide (Dy2O3) nanopowders were prepared by co-precipitation (CP) and eco-friendly green combustion (GC) routes. SEM micrographs prepared by CP route show smooth rods with various lengths and diameters while, GC route show porous, agglomerated particles. The results were further confirmed by TEM. Thermoluminescence (TL) responses of the nanopowder prepared by both the routes were studied using γ-rays. A well resolved glow peak at 353 °C along with less intense peak at 183 °C was observed in GC route while, in CP a single glow peak at 364 °C was observed. The kinetic parameters were estimated using Chen's glow peak route. Photoluminescence (PL) of Dy2O3 shows peaks at 481, 577, 666 and 756 nm which were attributed to Dy3+ transitions of 4F9/2¢6H15/2, 6H13/2, 6H11/2 and 6H9/2, respectively. Color co-ordinate values were located in the white region as a result the product may be useful for the fabrication of WLED'S. © 2014 Elsevier Ltd.

Prashanth Kumar G.,Channabasaveshwara Institute of Technology | Shashidhara M.,Channabasaveshwara Institute of Technology
International Conference on Communication and Signal Processing, ICCSP 2014 - Proceedings | Year: 2014

Automatic face detection and recognition is a challenging problem which has received much attention during recent years due to its many applications in different fields. Face recognition is one of those challenging problems and up to date, there is no technique that provides a robust solution to all situations. In this paper we are presenting an algorithm for face detection in an image using skin color segmentation and region properties. First segmentation of skin regions from an image is done by using different color models. Skin regions are separated from the image by using thresholding. Then to decide whether these regions contain human face or not we used face features. Our procedure is based on skin color segmentation and human face features (knowledge-based approach). We have used RGB, YCbCr, and HSV color models for skin color segmentation. These color models with thresholds, help to remove non skin region from an image. Each segmented skin regions are tested to know whether region is human face or not, by using human face features based on knowledge of geometrical properties of human face. © 2014 IEEE.

PubMed | East-West Center, Indian Institute of Science, Channabasaveshwara Institute of Technology, Tumkur University and 2 more.
Type: | Journal: Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy | Year: 2015

CeO2:Ho(3+) (1-9 mol%) nanopowders have been prepared by efficient and environmental friendly green combustion method using Aloe vera gel as fuel for the first time. The final products are well characterized by powder X-ray diffraction (PXRD), scanning electron microscopy (SEM), fourier transform infrared (FTIR). Bell, urchin, core shell and flower like morphologies are observed with different concentrations of the A. vera gel. It is apparent that by adjusting the concentration of the gel, considerable changes in the formation of CeO2:Ho(3+) nano structures can be achieved. Photoluminescence (PL) studies show green (543, 548 nm) and red (645, 732 nm) emissions upon excited at 400 nm wavelength. The emission peaks at 526, 548, 655 and 732 nm are associated with the transitions of (5)F3(5)I8, (5)S2(5)I8, (5)F5(5)I8 and (5)S2(5)I7, respectively. Three TL glow peaks are observed at 118, 267 and 204C for all the irradiated samples which specify the surface and deeper traps. Linear TL response in the range 0.1-2kGy shows that phosphor is fairly useful as radiation dosimeter. Kinetic parameters associated with the glow peaks are estimated using Chens half width method. The CIE coordinate values show that phosphor is quite useful for the possible applications in WLEDs as orange red phosphor.

Raghavendra R.,University of Mysore | Raghavendra R.,Orange Group | Dorizzi B.,Orange Group | Rao A.,Channabasaveshwara Institute of Technology | Hemantha Kumar G.,University of Mysore
Pattern Recognition | Year: 2011

In this paper, we address the problem of designing efficient fusion schemes of complementary biometric modalities such as face and palmprint, which are effectively coded using Log-Gabor transformations, resulting in high dimensional feature spaces. We propose different fusion schemes at match score level and feature level, which we compare on a database of 250 virtual people built from the face FRGC and the palmprint PolyU databases. Moreover, in order to reduce the complexity of the fusion scheme, we implement a particle swarm optimization (PSO) procedure which allows the number of features (identifying a dominant subspace of the large dimension feature space) to be significantly reduced while keeping the same level of performance. Results in both closed identification and verification rates show a significant improvement of 6% in performance when performing feature fusion in Log-Gabor space over the more common optimized match score level fusion method. © 2010 Elsevier Ltd. All rights reserved.

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