SR Engineering College

Warangal, India

SR Engineering College

Warangal, India

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Radhakrishna V.,VNR Vignana Jyothi Institute of Engineering and Technology | Srinivas C.,Kakatiya Institute of Technology | Guru Rao C.V.,Sr Engineering College
Procedia Computer Science | Year: 2013

In this paper a generalized approach is proposed for clustering a set of given documents or text files or software components for reuse based on the new similarity function called hybrid XOR function defined for the purpose of finding degree of similarity among two document sets or any two software components. We construct a matrix called similarity matrix of order n-1 by n for n document sets or software components by applying hybrid XOR function for each pair of document sets. We define and design the clustering algorithm which has its input as similarity matrix and output as a set of clusters formed dynamically as compared to other clustering algorithms that predefine the count of clusters and documents being fit to one of those clusters or classes finally. The approach carried out uses simple computations. © 2013 The Authors. Published by Elsevier B.V.


Rajkumar K.,SR Engineering College | Padmaja V.,VNR VJIET
Proceedings of the 2016 IEEE International Conference on Wireless Communications, Signal Processing and Networking, WiSPNET 2016 | Year: 2016

Polarizability Tissue envisages is a developing system that uses polarized light to test the physical and physiological quality of tissues. Polarizability Ellipsometric procedures are used to comprehend the variety of polarization qualities of light through model malignant thyroid tissue. The generated signature matrix of optics framework offers clinicians some assistance with understanding and evaluates the malignant thyroid tissue properties and gives learning about the working of the malignant thyroid tissue. In this prescribed work malignant thyroid tissues gathered from pathology department, Gandhi Medical College, Secunderabad, India is utilized for perceiving the Mueller Matrix of the malignant thyroid tissue and getting the Depolarization, Diattenuation and Retardance images and values. Conditions to get an identifiable Mueller Matrix with gyratory optics are tended to and are utilized to comprehend the polarization assortment in the malignant thyroid tissue during the novel in a pixel by pixel examination system and by means of the standardized Mueller Matrix of the malignant thyroid tissue. © 2016 IEEE.


Rajkumar K.,SR Engineering College | Padmaja V.,VNR VJIET
ARPN Journal of Engineering and Applied Sciences | Year: 2016

We report the potential of Mueller decomposition images to discriminate the Breast tissue to generate scattering intensities images with different optical states of seven and four independent variables. Polarimetric imaging is an emerging technique that uses polarized light to probe the acceptance of the tissue with the different independent variable states. A polar decomposition technique reveals the polarization parameters of the breast tissue effectively. It is observed there is a change in the Mueller matrix that which is obtained from the Breast tissue with the states of seven and four independent variables. © 2006-2016 Asian Research Publishing Network (ARPN). All rights reserved.


Srinivas C.,Kakatiya Institute of Technology and Science | Guru Rao C.V.,SR Engineering College
ACM International Conference Proceeding Series | Year: 2015

Software component clustering is an unsupervised learning approach which is used to cluster the software components. These clusters may then be used to study, analyze, understand behavior of the software components. In this paper, we use the k-means clustering algorithm to cluster the software components. The main difference lies in the use of distance measure which is designed to find the similarity between the software components. We use the distance measure [12], to find the pair wise project distance matrix and apply the k-means algorithm on this distance matrix. The main idea is to use more than one distance measure, to explore consensus based technique, so as to cluster software components, instead of using only one measure to cluster the components. This approach may also be applied for software architecture recovery problem by using our distance measure. © 2015 ACM.


Venkateswarlu P.,SR Engineering College
European Journal of Engineering Education | Year: 2016

Reforms in undergraduate engineering curriculum to produce engineers with entrepreneurial skills should address real-world problems relevant to industry and society with active industry support. Technology-assisted, hands-on projects involving experimentation, design simulation and prototyping will transform graduates into professionals with necessary skills to create and advance knowledge that meets global standards. To achieve this goal, this paper proposes establishing a central facility, ‘Centre for Engineering Experimentation and Design Simulation’ (CEEDS) in autonomous engineering colleges in India. The centre will be equipped with the most recent technology resources and computational facilities where students execute novel interdisciplinary product-oriented projects benefiting both industry and society. Students undertake two projects: a short-term project aimed at an engineering solution to a problem in energy, health and environment and the other a major industry-supported project devoted to a product that enhances innovation and creativity. The paper presents the current status, the theoretical and pedagogical foundation for the centre's relevance, an activity plan and its implementation in the centre for product-based learning with illustrative examples. © 2016 SEFI


Sunkari V.,Kakatiya Institute of Technology and Science | Rao C.V.G.,SR Engineering College
Proceedings of 2014 International Conference on Contemporary Computing and Informatics, IC3I 2014 | Year: 2015

Web applications became most common medium in the internet and are easily accessible using browser software. Because of popularity and ease of use it gained the interest of attackers. Web applications attackers mostly use browsers as an attacking tool. Web applications are prone to all major vulnerabilities as normal software vulnerabilities. Among all, SQL Injections and XSS are most popular and frequently occurred attacks. Existing research works majorly concentrated on code verification with syntax analyzers and are deployed at the server. These techniques overheads the web applications performance because of online verification of SQL statements that are dynamically prepared by the applications and are combined deployed along with the web application at the server. Unfortunately, these techniques are bound to a programming language. Combined approaches such as IPAAS use syntax analyzers as well as HTTP Parameter type verification. Even though the technique overcomes the problem of code modification at client/server, it is also bound to a programming language. We propose a novel technique of HTTP Stateless and automated parameter pollution verification at network level, it is an independent of web application programming language, and can be directly applied on any web application. It doesn't depend on syntax analyzers and is anomaly intrusion detection system, capable of detecting published (known) and un-published (unknown) vulnerabilities. It reduces the sanity checks at web application. The system evaluated on seven SQL/XSS allowed real time web applications with 2783 attack patterns of exploit-db and on all possible parameters. The system successfully prevented 92.96% SQL Injection attacks, 79.86% XSS attacks without impacting server operations. © 2014 IEEE.


Sheshikala M.,Koneru Lakshmaiah College of Engineering | Rao D.R.,Koneru Lakshmaiah College of Engineering | Prakash R.V.,SR Engineering College
Procedia Computer Science | Year: 2016

Spatial co-location pattern mining is a sub field of data mining which is used to discover interesting patterns which are expressed as co-location rules. The objects that are frequently located in certain region are expressed as spatial co-locations. It presents a challenge for finding co-location patterns as the traditional data is considered discrete whereas the spatial objects are embedded in a continuous space. For this a join-less approach is proposed, but as the data size increases, a large amount of computation time is devoted to find co-location rules as the approach is purely sequential. We propose a parallelized join-less approach which finds the spatial neighbor relationship in order to identify co-location instances and co-location rules. The proposed work decreases the computation time drastically as it uses a Map-Reduce framework. This paper presents precise and completeness of the new approach. Finally, an experimental evaluations using synthetic data sets show the algorithm is computationally more efficient. © 2016 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license.


Srinivasacharya D.,National Institute of Technology Warangal | Swamy Reddy G.,Sr Engineering College
Procedia Engineering | Year: 2015

Mixed convection heat and mass transfer along a vertical plate embedded in a power-law fluid saturated Darcy porous medium with Soret and Dufour effects is studied. The governing partial differential equations are transformed into ordinary differential equations using similarity transformations and then solved numerically using shooting method. A parametric study of the physical parameters involved in the problem is conducted and a representative set of numerical results is illustrated graphically. © 2015 The Authors.


Kumar G.D.,SR Engineering College | Gosul M.,SR Engineering College
Communications in Computer and Information Science | Year: 2011

Web is a collection of inter-related files on one or more Web servers. Web mining is one of the mining technologies, which applies data mining techniques in large amount of web data to improve the web services. Wide Web provides every internet citizen with access to an abundance of information, but it becomes increasingly difficult to identify the relevant pieces of information. Research in web mining tries to address this problem by applying techniques from data mining and machine learning to Web data and documents. The Web Mining is an application of Data Mining. Without the internet, life would have been almost impossible. The data available on the web is so voluminous and heterogeneous that it becomes an essential factor to mine this available data to make it presentable, useful, and pertinent to a particular problem. Web mining deals with extracting these interesting patterns and developing useful abstracts from diversified sources. The present paper deals with a preliminary discussion of WEB mining, few key computer science contributions in the field of web mining and outlines some promising areas of future research. © 2011 Springer-Verlag.


Srinivasacharya D.,National Institute of Technology Warangal | Swamy Reddy G.,Sr Engineering College
International Review of Mechanical Engineering | Year: 2012

The heat and mass transfer characteristics of natural convection along a vertical plate embedded in power-law fluid saturated Darcy porous medium in the presence of Soret and Dufour effects is studied. The governing partial differential equations are transformed into ordinary differential equations using similarity transformations and then solved using shooting method. A parametric study of the physical parameters involved in the problem is conducted and a representative set of numerical results is illustrated graphically. © 2012 Praise Worthy Prize S.r.l. - All rights reserved.

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