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Hyderabad, India

Jyothi B.,JNTUH College of Engineering | Madhavee Latha Y.,JNTUH College of Engineering | Krishna Mohan P.G.,IARE
Advances in Intelligent Systems and Computing | Year: 2016

The advancement in medical technology has resulted in a huge number of medical images saved in a data-base. Content Based Medical Image Retrieval (CBMIR) mechanisms help the radiologist in retrieving the required medical images from an immense database. This paper envisages an effective content based procedure in which the region of the image is taken into account by determining the borders of the image region using gray level gradient method instead of considering the image as a whole. Later, the content within the boundary region of the image is described through the steerable filter in different orientations followed by extracting the second-order statistical components as feature vectors. Medical images correlated to the query image are retrieved by computing the Euclidean distance as a similarity measure between database images and the query image. To enhance the accuracy of the medical retrieval system, Instant Based Relevance Feedback has been used. In this procedure, the user interacts with the system and selects the most relevant image for searching again. The above search procedure is repeated for finding out more precise images by sorting out the first search and the second search similarity distances. Eventually, the corresponding top ranked images are displayed. These results reveal that the proposed algorithm outperforms by of increasing Recall Rate and reducing Rate of Error. © Springer India 2016.

Mukundha C.,SNIST | Prabha I.,IARE | Sreenu K.,SNIST
Journal of Theoretical and Applied Information Technology | Year: 2016

Now days we have observed that the fast change in the cloud network by the Software Defined Networking (SDN) paradigm that differentiate the control plane from the data plane to give the flexibility for programmability and centralized control of the cloud networks, SDN networks not only provide simplification of cloud network management it also provides more security with SDN by implementing firewalls with in the SDNs. The demand of cloud increased day by day with the increasing of usage of cloud. The SDN is provided with Open Flow network, cloud network states are dynamically updated and configurations are frequently changed. Open Flow accepts various Field actions that can dynamically change the packet headers. A firewall embedded in SDN can immediately enforce updated rules in the firewall policy to check security violations. Cloud computing allows all categories of users to use applications without installation and access their personal files at any system with internet access. Here we present that the way forward is to integrate SDN and fully utilize its feature to solve the security problems in cloud networks. We focus on the security aspect and investigate how to enhance the security with SDN firewalls for the cloud networks. © 2005-2016 JATIT & LLS. All rights reserved.

Mahesh S.,Target Corporation India | Mahesh T.R.,SBMJCE | Vinayababu M.,IARE
Journal of Theoretical and Applied Information Technology | Year: 2010

An innovative knowledge-based methodology for terrorist detection by using Web traffic content as the audit information is presented. The proposed methodology learns the typical behavior of terrorists by applying a data mining algorithm to the textual content of terror-related Web sites. The resulting profile is used by the system to perform real-time detection of users suspected of being engaged in terrorist activities. The Receiver-Operator Characteristic (ROC) analysis shows that this methodology can outperform a command based intrusion detection system. © 2005-2010 JATIT. All rights reserved.

Mahesh T.R.,SBMJCE | Prabhanjan S.,SBMJCE | Vinayababu M.,IARE
Journal of Theoretical and Applied Information Technology | Year: 2010

The existing system available for fuzzy filters for noise reduction deals with fat-tailed noise like impulse noise and median filter. Only impulse noise reduction uses fuzzy filters. Gaussian noise is not specially concentrated; it does not distinguish local variation due to noise and due to image structure. The proposed system presents a new technique for filtering narrow-tailed and medium narrow-tailed noise by a fuzzy filter. The system first estimates a "fuzzy derivative" in order to be less sensitive to local variations due to image structures such as edges. Second, the membership functions are adapted accordingly to the noise level to perform "fuzzy smoothing." A new fuzzy filter is presented for the noise reduction of images corrupted with additive noise. The filter consists of two stages. The first stage computes a fuzzy derivative for eight different directions. The second stage uses these fuzzy derivatives to perform fuzzy smoothing by weighting the contributions of neighboring pixel values. Both stages are based on fuzzy rules which make use of membership functions. The filter can be applied iteratively and effectively reduce heavy noise. In particular, the shape of the membership functions is adapted according to the remaining noise level after each iteration, making use of the distribution of the homogeneity in the image. A statistical model for the noise distribution can be incorporated to relate the homogeneity to the adaptation scheme of the membership functions. Experimental results are obtained to show the feasibility of the proposed approach. These results are also compared to other filters by numerical measures and visual inspection. © 2005-2010 JATIT. All rights reserved.

Srinivasa Vadayar K.,Jawaharlal Nehru Technological University | Satyanarayana D.V.V.,DMRL | Bhanu Prasad V.V.,DMRL | Poshal G.,IARE
Materials at High Temperatures | Year: 2013

TiB-TiC reinforced titanium matrix composites (TMCs) were synthesised through pressureless sintering of titanium and boron carbide (B4C) powder compacts. Effect of boron carbide (B4C) particle size and volume fraction of TiB-TiC reinforcement on steady state compression creep behaviour of composites was investigated in the temperature range of 773-873 K. The creep rates of composites are found to be about two orders of magnitude lower than those of unreinforced titanium. The creep rates further lowered with decrease in size of B4C particles (from 16 to 3 μm) used in preparation of composites as well as with increase in volume fraction of the TiB-TiC reinforcement from 10 to 30 vol.%. By using the concept of effective stress as well as incorporation of load transfer and substructural strengthening effect produced by the reinforcement into analysis, the entire creep data of Ti and the composites can be made to merge on to a single line within a scatter band of factor of 2-3 and can be represented by a unified power-law equation.

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