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Venkata Ramana Chary R.,Padmasri Drbv Raju Institute Of Technology | Rajya Lakshmi D.,GITAM Institute of Technology
2012 International Conference on Machine Vision and Image Processing, MVIP 2012 | Year: 2012

Computer vision field over the last decades, Content-Based Image Retrieval (CBIR) systems are used in order to search, retrieve and browse image from databases. This accumulation of large collections of digital images has created the need for efficient and intelligent schemes for classifying and retrieval of images. In our proposed method, we are using, Clustering Algorithms for retrieving the images from huge volumes of data with better performance. This requires image processing, feature extraction, classification of images and retrieval steps in order to develop an efficient image retrieval system. In this work, processing is done through the image clustering method [1] which is used for feature extraction which is taken place. For retrieval of images, mean values are calculated between Query image and database images and all clustered mean values are considered as a sorted order. When the comparisons are allowed between the images, in our observation we founded excellent performance and similarities in between images. The main aim of this work is to extract images with good similarity when the images are retrieved based on query image. © 2012 IEEE.


Lalitha P.,Gitam Institute of science | Reddy N.N.R.,Gitam Institute of science | Arunalakshmi K.,GITAM Institute of Technology
Bioremediation Journal | Year: 2011

A problem of paramount importance that has attracted the attention of environmental biologists is the discharge of highly colored effluents into the environment by various industries, which use a wide range of synthetic dyes. The existing chemical methods for dye degradation are not only expensive but also contributes to secondary pollution due to high dose of the chemicals used. Hence an alternative is to exploit the potential of microorganisms to alleviate this problem. The current paper deals with the isolation, characterization, and sugar utilization for better growth of Aspergillus flavus, a marine fungus from the Bay of Bengal. The goal is to assess the bioremediation potential of a variety of synthetic, paper mill, and color photography dyes. A correlation between the amount of sugar used, biomass, and quality of protein produced was observed. This fungus is capable of reducing between 80% and 90% of synthetic dyes and 100% color photography effluents within 3 to 7 days, and 8 days, respectively. Significant effect of carbon sources was observed in the decolorization of the synthetic dye crystal violet, up to 90% in 3 to 7 days, by Aspergillus flavus. The organism showed better growth with fructose as the sole carbon source for the least sugar consumption. Therefore, this fungus can be used as an economical and eco-friendly tool to minimize the pollution by industries to a significant extent. Copyright © 2011 Taylor & Francis Group, LLC.


Venkata Ramana Chary R.,BVRIT | Rajya Lakshmi D.,GITAM Institute of Technology
Lecture Notes in Electrical Engineering | Year: 2013

Image retrieval has been one of the most interesting and vivid research areas in the field of computer vision over the last decades. Image Retrieval systems are used in order to automatically index, search, retrieve, and surf image databases. Gathering of large collections of digital images has created the need for efficient and intelligent schemes for classifying and retrieval of images. In our proposed method, we are using Clustering Algorithm for retrieving the images from huge volumes of data with better performance. This requires image processing methods like color histogram feature extraction, classification of images, retrieval, and indexing steps in order to develop an efficient image retrieval system. In this work, processing is done through the image clustering method which is used for feature extraction taken place, classification is done using K-means [1] classification algorithm [2]. For retrieval of images, Euclidian distance method values are calculated between query image and database images. The main aim of this work is to extract images with similarity when the images are retrieved based on query image. © 2013 Springer Science+Business Media.


Kiranmai Reddy M.,GITAM Institute of Technology | Avasn Maruthi Y.,Gitam Institute of science | Aruna Lakshmi K.,Gandhi Institute of Technology and Management
Rasayan Journal of Chemistry | Year: 2010

The increasing urbanization, industrialization has direct impact on urban waste. Solid waste management is an important factor of environmental hygiene and needs to be integrated with total environmental planning. Biodegradation is termed as natural process of recycling. Fungi play an important role in biodegradation as they are more active in carbon assimilation than bacteria and actinomycetes. The results of physico-chemical parameters of selected soil samples at different depths showed an increase in organic carbon content than surface soils and sub surface soils. The pH of all samples was neutral to slightly alkaline, shows the favorable condition for the growth of fungi. The scope of the present work attempts to search for an effective method of delignification by using lignolytic soil fungi. The cellulose and lignin degradation has been effectively done by Phanerochaete Chrysosporium (80%) and Aspergillus flavus (75%). Where Phanerochaete Chrysosporium shown the maximum release of carbon dioxide during biodegradation. Pre and post degradation studies were carried where there is a decrease in pH of the soils were observed due to the degradation by fungal species.


Reddy V.V.,Jayamukhi Institute of Technological science | Kumar A.,National Institute of Technology Warangal | Valli P.M.,GITAM Institute of Technology | Reddy C.S.,Jawaharlal Nehru Technological University Anantapur
Journal of the Brazilian Society of Mechanical Sciences and Engineering | Year: 2015

In the present work, an investigation has been made into the electrical discharge machining process (EDM) when both graphite powder and surfactant-mixed dielectric fluid were used during EDM of precipitation hardening stainless steel PH17-4. The addition of graphite powder in the dielectric fluid results in uniform distribution of discharge, which improves surface finish. However, agglomeration of graphite particles is found in the dielectric due to the electrostatic forces among the graphite powder particles. The addition of surfactant in the dielectric increases dielectric conductivity and in turn reduces relay time of discharge. This increases actual discharge time, which results in more material removal. At the same time, uniform distribution of graphite powder particles in the dielectric fluid is achieved. This leads to increase in discharge frequency, which results in increase in material removal rate and surface finish. Taguchi parameter design approach was used to get an optimal parametric setting of EDM process parameters namely: peak current, surfactant concentration and graphite powder concentration that yields to optimal process performance characteristics such as material removal rate, surface roughness, white layer thickness and surface crack density. Individual effect of process parameters on performance characteristics was also studied. To identify the significance of parameters on measured response, the analysis of variance has been carried out. Further, mathematical models were developed by performing nonlinear regression analysis to predict process performance characteristics. Confirmation tests were conducted at their respective optimal parametric settings to verify the predicted optimal values of performance characteristics. © 2014, The Brazilian Society of Mechanical Sciences and Engineering.

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