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Anantapur, India

International Journal of Applied Engineering Research

Mobile ad-hoc network (MANET) is a decentralized and infrastructure less network where a node enter and leave a network at any moment. Quality of Service (QoS) is the level of assurance given to the user about the service provision offered by the network. Due to node mobility, limited resources of mobile nodes and broadcast nature of wireless channels, the QoS provision is not trivial in MANETs. In multicast protocols, there is considerable amount of energy loss and lack of bandwidth since group of nodes are involving in a session. While maintaining multiple QoS parameters in MANET applications, achieving balance among them is a critical issue. Some articles addressed this issue using static methods by assigning fixed weightage to each parameter. The proposed QoS trust model (Fuzzy Based QoS Trust Model for Multicast routing in MANETs-FQTM) focuses on this issue by applying fuzzy inference mechanism. QoS metrics like Energy, Bandwidth, link expiry time and reliability are considered as input variables in the fuzzy inference system to evaluate node trust value. At the time of multicast tree formation, proposed scheme ensures that each path from source to destination includes high trusted intermediate nodes. The proposed method performance is analyzed theoretically and experimentally. In simulation results, the proposed method FQTM outperforms the MAODV and PMRP multicast protocols. © Research India Publications. Source

Nikkam P.S.,JNIAS JNTUA | Hegde N.P.,Vasavi Engineering College | Reddy B.E.,JNTUACE
2015 IEEE International Conference on Computational Intelligence and Computing Research, ICCIC 2015

Content Based Image Retrieval is a process to get a desired image from a substantial database. We propose a template for shape based hierarchical feature matching approach for content based image retrieval system. It utilizes a combination of global feature for shape based templates. In this work a new learning method is put forth which is based on the hierarchal decomposition of the data. The proposed method establishes learning algorithm where the feature extraction process is executed to detect edge, orientations and shape of the dataset images. Thus extracted shape based features are used for matching the template to improve the retrieval accuracy. The proposed model is tested for the Wang dataset. The classification of dataset is taken care by the support vector machine algorithm with the accuracy of 99.09 % The retrieval results of proposed model is illustrated in terms of precision and recall, the improved efficiency of retrieval is compared to other existing models. © 2015 IEEE. Source

Proceedings - 2014 IEEE Global Conference on Wireless Computing and Networking, GCWCN 2014

Security and Quality are the two major aspects in MANETs to be addressed. Many articles have addressed these aspects independently. Very few have concentrated on the trade off between security and quality of MANETs, but lost their performance. The proposed method WBTQ (Weightage Based Trusted QoS Protocol) focuses on both the issues in parallel, it is providing secure environment by evaluating each node's trustworthiness in the network instead of using high computational encryption algorithms without losing its performance. The WBTQ is the extension of OLSR protocol where node trust values and QoS metrics are propagated in the network through the HELLO packets. This protocol provides a flexible and feasible approach to the user in choosing a better route by giving weightage to Quality and Trust values. © 2014 IEEE. Source

Nikkam P.S.,Research Scholar JNIAS JNTUA | Hegde N.P.,Vasavi Engineering College | Reddy B.E.,JNTUACE
Proceedings of the 2015 International Conference on Applied and Theoretical Computing and Communication Technology, iCATccT 2015

Image retrieval is a process of retrieving the similar images from a huge dataset. The retrieving of images is done based on the query image and the matched feature with the dataset images. In this paper we have proposed a novel method for efficient retrieval using shape analysis of the query and dataset images. The key points of the work are detection of shape and extraction of the features based on the shape. The extracted features are trained by using the support vector machine classification method. The simulation results show the accuracy of the proposed system as 96.69%. © 2015 IEEE. Source

Prathyusha Reddi D.,PBR VITS | Giri Prasad M.N.,JNTUACE | Varadarajan S.,SVUCE
Contemporary Engineering Sciences

The amount of information that is handled by computers has grown exponentially over the past decades. Hence, the storage and transmission of the digital image component of Multimedia systems is a major problem. The amount of data required to present images at an acceptable level of quality is extremely large. High quality image data requires large amounts of storage space and transmission bandwidth, something which the current technology is unable to handle technically and economically. The success of wavelet techniques in many fields of signal and image processing was proved to be highly influenced by the properties of wavelet transforms used, mainly the shift invariance and the directional selectivity. Unfortunately, the 2D discrete wavelet transform is shiftvariant and has a reduced directional selectivity. These disadvantages can be overcome if a complex wavelet transform is used. The Hyperanalytic Wavelet Transform (HWT) is quasi shift-invariant, it has a good directional selectivity, and a reduced degree of redundancy. The present work discusses the efficacy of HWT and how the properties of HWT are used for image compression. The results obtained are compared with DWT. Appreciable increase in PSNR along with compression ratio is obtained. Source

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