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Meenavathi M.B.,BIT | Easwara M.,CBIT
2016 International Conference on Electrical, Electronics, Communication, Computer and Optimization Techniques, ICEECCOT 2016 | Year: 2017

In the modern age, the transmission of digital images is one of the major processes of communication system. Meanwhile, images are often corrupted by the noise. In many image processing applications the reconstruction of high quality image is an essential fact. To achieve this, we proposed a wavelet based hybrid image denoising. In which, after wavelet decomposition of a noisy image both the approximation and the detail coefficients are incorporated into modification. Approximation coefficients are processed by the Cloud Model (CM) and estimated by the fuzzy mean without omitting the contribution of an individual. The detail parts undergo sub band based adaptive modified firm thresholding. Finally, the image is treated with an Adaptive Wiener filter, to further improve its visual quality. Evaluation indicates that our proposed algorithm outperforms over wavelet based Weighted High Frequency Kernel (WHFC) and median methods in terms of Peak Signal to Noise Ratio (PSNR). © 2016 IEEE.


Rao D.S.,UCE OU | Reddy P.R.,CBIT | Venkatesh S.,UCE OU
Procedia Engineering | Year: 2017

The conventional materials fail to meet the requirements of high technology applications like space applications. In order to meet the requirements like high temperature and wear resistance new materials are being searched. The composite laminar for testing will be prepared with glass fiber rain forced with epoxy. The applications of composite materials have recently increased because of their high strength/stiffness for lower weight, superior fatigue characteristics, and facility to change fiber orientations etc. At the same time, these materials pose new problems such as inter ply cracking, inter laminar de-lamination and fiber cracking. Composite materials failure can be reduced by increasing fracture toughness. Our Aim is to evaluate the fracture toughness of glass fiber/epoxy composites. These composites were prepared with glass fiber reinforced with epoxy based polymer. The fracture Toughness of the specimen is used to conduct mode-I fracture test using special loading fixtures as per ASTM standards. © 2017 The Authors.


Vodithala S.,KITS | Pabboju S.,CBIT
Smart Innovation, Systems and Technologies | Year: 2018

Component Based Software Engineering (CBSE) is one of the specialized methodologies in the process of developing the software. The motivation behind the CBSE is software reuse that is using off the shelf components. The software component in reuse may be a design, document or a piece of code. The components considered in this paper are source codes, in particular functions. In order to have an efficient reuse of the components, they are to be described effectively and clustered so as to retrieve the components with a minimum effort. This paper shows the description of a software component based on the facets. An important facet in the description of software component is the behavior. The behavior is extracted from the comment lines present in the code, later these comments are converted to first order predicate. © Springer International Publishing AG 2018.


Koteswararao B.,Koneru Lakshmaiah College of Engineering | Siva Kishore Babu K.,Koneru Lakshmaiah College of Engineering | Ravi D.,CBIT | Kumar K.K.,Koneru Lakshmaiah College of Engineering | Chandra Shekar P.,SIET
Materials Today: Proceedings | Year: 2017

The selection of manufacturing conditions is one of the most important aspects to take into consideration in the majority of manufacturing processes, particularly Electrical Discharge Machining (EDM) process. EN31 is high carbon alloy steel and is usually supplied in a hardened and tempered condition. An attempt is made to find out the effect of machining parameters on EN31. Moreover, the signal-to-noise ratios associated with the observed values in the experiments were determined to find which factor is most affected by the Responses of Material Removal Rate (MRR), Tool Wear Rate (TWR) and over cut (OC).Discharge current(I) is most influencing factor on MRR and then pulse duration time and the last is diameter of the tool(D). MRR increased with I. As the pulse duration extended, MRR decreases monotonically. In the case of TWR the most important factor is I then pulse on time and after that D. In the case of OC the most important factor is I and then D and no effect on pulse on time. © 2017 Elsevier Ltd.


Mallaiah G.,KITS | Kumar A.,National Institute of Technology Warangal | Ravinder Reddy P.,CBIT | Madhusudhan Reddy G.,Indian Defence Research And Development Laboratory
Materials and Design | Year: 2012

The effect of grain refining elements such as copper, titanium and aluminum on transverse tensile strength, ductility, impact toughness, microhardness and austenite content of AISI 430 ferritic stainless steel welds through Gas Tungsten Arc Welding (GTAW) process in as-welded condition was studied. Taguchi method was used to optimize the weight percentage of copper, titanium and aluminum for maximizing the mechanical properties and austenite content in the weld region of ferritic stainless steel welds. Based on Taguchi orthogonal array the regression equations were developed for predicting the mechanical properties of ferritic stainless steel welds within the range of grain refining elements. The observed mechanical properties and austenite content have been correlated with microstructure and fracture features. © 2011 Elsevier Ltd.


Jyothi B.V.,CBIT | Eswaran K.,SNIST
ISMS 2010 - UKSim/AMSS 1st International Conference on Intelligent Systems, Modelling and Simulation | Year: 2010

In this paper, we describe two new approaches to content-based image retrieval (CBIR) based on preference information provided by the user interacting with an image search system. First, we present the existing methods of image retrieval with relevance feedback, which serve then as a reference for the new approaches. The first extension of the distance function-based CBIR approach makes it possible to apply this approach to complex objects .Next we discuss the second approach for image retrieval. That new algorithm is based on an approximation of user preferences by a neural network. Finally we discuss the advantages and disadvantages and further improvements and future scope in this particular area. © 2010 IEEE.


Chandra Mohan Reddy G.,CBIT | Ravindra Reddy P.V.R.,CBIT | Janardhan Reddy T.A.,Osmania University
Tribology International | Year: 2010

Drawability is a term commonly used to describe the ease with which the metal can be drawn into the cups. The various measures of drawability are limit drawing ratio and the limit strains which are influenced by the parameters like tooling configurations, blank configurations, material properties, and forming conditions. Generally the drawability is limited by tearing of the cup at the punch corners. Friction plays an important role in deciding drawability in such a situation. In this work, the effect of coefficient of friction on limit drawing ratio and the limit strains are studied using an explicit finite element code LSDYNA. The model is validated by comparing force obtained by the existing experimental setup with the one obtained in simulation. The limit strains obtained from the simulation are verified by the analytical equations developed using vortex theory. The results are tallying within 0.17-8.29% error. © 2009 Elsevier Ltd. All rights reserved.


Radhika K.,CBIT | Reddy A.V.G.,Osmania University
ICECT 2011 - 2011 3rd International Conference on Electronics Computer Technology | Year: 2011

Next generation wireless networks are expected to exhibit heterogeneity in terms of wireless access technologies, services and application requirements. These heterogeneous wireless access networks consist of the integration of various wireless networks especially Wi-Fi (WLAN), Wi-Max and 3G/B3G cellular networks. One of the challenging problems is to choose the optimal network depending upon the type of the demanding application. Vertical handoff occurs when a mobile terminal decides to switch to the selected network from the current network. This paper mainly deals with a network selection algorithm based on Fuzzy Multiple Attribute Decision Making. The algorithm considers the factors of Received Signal Strength(RSS), Monetary cost(C), Band Width (BW), Velocity (V) and user preference (P). It finds the Network selection function (NSF) that measures the efficiency in utilizing radio resources by handing off to a particular network. The network that provides highest NSF is selected as the best network to hand off from the current access network. © 2011 IEEE.


Tallapragada V.V.S.,C.B.I.T. | Rajan E.G.,Pentagram Research Center
Proceedings - 1st International Conference on Integrated Intelligent Computing, ICIIC 2010 | Year: 2010

Iris biometric is considered to be one of the most efficient and trusted biometric method for authenticating users. This paper presents a method for iris recognition based on hybrid feature set of wavelet and GLCM features, a non-filter based technique, combined with Haar wavelet transform to increase the efficiency of the system. Here we combine frequency domain feature with spatial domain feature to increase overall efficiency of system. Probability neural Network is used to classify the features. Results show that the overall system efficiency is 94% with false rejection rate higher than false acceptance rate. The technique is tested on CASIA Iris database. © 2010 IEEE.


Sastry P.N.,CBIT | Krishnan R.,Amrita University
Proceedings of the 2012 World Congress on Information and Communication Technologies, WICT 2012 | Year: 2012

This paper deals with the Palm leaf character recognition (PLCR) using Radon Transform applied to Telugu Characters. A large collection of these Palm leaf characters are available in the classical Indian languages like Sanskrit, Tamil, Pali etc as well as in more modern languages like Telugu. Manuscripts on Palm leaves in India are the most unique collection for Centuries pertaining to wisdom and knowledge containing religious texts and treaties on a host of subjects such as art, medicine, astronomy, astrology, mathematics, law and music in various traditional and modern languages. The palm leaves are natural organic products and are therefore very susceptible to deterioration due to climatic factors (relative humidity, temperature), light and insects. Hence, preservation and digitization of these palm leaves/manuscripts is important. These characters on the palm leaf have the additional properties like depth (which is proportional to the pen pressure applied by the scriber), an added feature which can be gainfully exploited in PLCR. This paper explores how these 3D features can be extracted and how they can be gainfully used in the recognition and classification process using Radon Transform and Nearest Neighborhood Classifier (NNC). The best percentage of accuracy obtained in the proposed method is 93%. © 2012 IEEE.

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