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Induja, M.
- Efficient Way of Routing in MANET Using Ordered Walks
Authors
1 Department of Computer Science and Engineering, B.S. Abdur Rahman University, Vandalur, Chennai-600048, IN
2 Department of Information Technology, B.S. Abdur Rahman University, Vandalur, Chennai-600048, IN
Source
Wireless Communication, Vol 5, No 6 (2013), Pagination: 255-259Abstract
The notion of ordered walks is acquaint with a depth-first search (DFS) that does not rely on topographical or virtual coordinate information and is much more efficient than meager random walks. The welfare of using DFS as the building block of the signalling in MANET routing protocols are epitomized by the introduction of the Ordered Walk Search Algorithm (OSA) as a replacement of flooding, which is used as part of the Ordered Walk with Learning (OWL) protocol. Aim to take advantage of the smaller time complexity of BFS and combine it is the low communication complexity of DFS to further improve the efficient of the search through the use of known topology information. The uses of multiple DFS can lead to a quicker discovery of OSA, the present the ordered walks with learning (OWL) routing protocol, which use DFS to establish and repair paths from the sources to the destination with minimal signalling overhead and fast convergence. OWL performs one or multiple ordered walks to search for destination. Simulation experiments are used to compare the delivery and end-to-end delays of OWL and AODV, but with significantly less overhead. The use of ordered walks is a promising tool in achieving limited-signalling routing in MANETs.Keywords
MANET, Ordered Walk with Learning Protocol, Ordered Walk Search Algorithm, Depth First Search.
- Classification of Education Videos from You Tube using User Generated Data
Authors
1 Department of Information Technology, B.S.Abdur Rahman University, Vandalur, Chennai-600048, IN
2 Department of Information Technology, B.S.Abdur Rahman University, Vandalur, Chennai-600048, IN
3 Department of Computer Science and Engineering, B.S.Abdur Rahman University, Vandalur, Chennai-600048, IN
Source
Automation and Autonomous Systems, Vol 5, No 3 (2013), Pagination: 108-113Abstract
Edutube includes video sharing sites, wikis, blogs, web applications. A Edutube site allows user to search educational videos .The system proposed is to classifying the education videos in online video sharing sites based on the user generated information. The categorization of videos can be done, i.e. the text features are combined with the visual features from the images using various classification techniques (K-means, SVM).This feature will enhance the precision and efficiency of the system to the greater extent. In this paper we have proposed and the implementation based on the text features like User Generated Data, Title and Description. Based on this idea three text feature are concentrated for this purpose. They are lexical features, syntactic features and semantic features. We use information gain for feature extraction and k-means and svm techniques for classification. Find the efficiency of videos by using kmeans algorithm then collect the results and apply SVM algorithm to improve its efficiency. This paper describes the system to find relevant (educational) videos in the Edutube.