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Jayaraj, V.
- Topology Discovery and Modified Tabu Search for Efficient Routing in Wireless Ad Hoc Networks
Authors
1 Bharathidasan University, Tamilnadu, IN
Source
Indian Journal of Science and Technology, Vol 7, No 12 (2014), Pagination: 2088-2095Abstract
For efficient transformation of information, Routing is needed. The requirement of quality constraints have been increased due to the variety of applications involved. This has escort to eminence conscious routing. An updated network structure is required to maintain efficient routing. This paper endow with different methods that act upon topology discovery and route formulation, along with route maintenance. The topology discovery is performed initially by discovering the neighbors and then clustering them and assigning leaders for each cluster. The route formulation phase finds multiple paths to a node, and finally optimization is performed using a modified form of Tabu Search. The route maintenance is performed by periodically checking the available routes for invalid nodes and updating them. The proposed research work gives a complete strategy for topology discovery along with dynamic routing and it performs well under all circumstances in an Ad Hoc network.Keywords
Topology Discovery, Tabu Search, Routing, Clustering, SENCAST- Augmenting Efficiency of Recruitment Process using IRCF text mining Algorithm
Authors
1 Department of Computer Science and Engineering, Bharathidasan University, Tiruchirappalli – 620024, Tamil Nadu, IN
Source
Indian Journal of Science and Technology, Vol 8, No 16 (2015), Pagination:Abstract
Background: A novel algorithm named Information Retrieval configuration file is proposed to extract useful information from a set of resumes during extraction where the information gained is relevant and efficient for business needs. Methods: Manual analysis of this unstructured textual data is impractical, so numerous text mining methods are being developed to automate the process of analyzing this unstructured data employs a new technique named Weighted Ranking method. Result: The efficiency of recruitment process is improved while retrieving the information from the unstructured data. Application: In firms to improves the scope of the recruitment process using text mining algorithm to mine the data.Keywords
Business Intelligence, Recruitment Process, Resume Mining, Text Mining- An Efficient RR based Password-Authenticated Key Agreement Protocol
Authors
Source
Wireless Communication, Vol 8, No 8 (2016), Pagination: 309-311Abstract
The majority password-authenticated key agreement protocols have focused on authenticated key in agreement using shared secret code stuck between a client and a server. With the materialization of a variety of communication environments such as global network, it is necessary to construct a protected channel between clients. Cross-realm client-to-client password authenticated key agreement (C2C-PAKA) protocol can make available secure authenticated key agreement for two clients of dissimilar realms, who only share their passwords with their have possession of servers. This paper presents a new password verification and key-exchange procedure suitable for client-to-client without a server public key in different realms to agree on a common session key using dissimilar passwords over an untrusted network. We propose Rumor Riding (RR), a lightweight and non-path-based mutual inscrutability protocol for decentralized P2P systems. Employing an accidental walk mechanism, RR takes benefit of lower transparency by mainly using the symmetric cryptographic algorithm. The planned protocol’s safety procedures, simplicity, and speed make it ideal for an extensive range of real-world applications in which protected password authentication is required.
Keywords
Authentication, Attacks, Cross Domain, Cryptanalysis, Password-Authenticated Key Agreement, Rumor Riding, Security.- Representing Data Quality and Data Security in Heterogeneous Sources
Authors
Source
Wireless Communication, Vol 8, No 8 (2016), Pagination: 312-315Abstract
Equipment plays the major role in healthcare not only for sensory devices but also in communication, recording and display device. It is very important to examine various medical parameters and post operational days. Hence the latest development in Healthcare communication method using IoT is adapted. Internet of things serves as a catalyst for the healthcare and plays major role in wide range of healthcare applications. Together with the high number of heterogeneous interrelated devices, this creates scalability issues, there by calling for a flexible middleware platform able to deal with both security threats and data excellence issues in a dynamic IoT-environment. For providing the data security and quality in IoT environment the usages of health care industry. The prototype is validated in an experimental setting characterized by the practice of real-time open data feeds presenting different levels of reliability, quality and security.
Keywords
Heterogeneous, Healthcare, Internet of Things, M-Health, Quality, Security.- Video Denoising Using Switching Adaptive Decision Based Algorithm with Robust Motion Estimation Technique
Authors
1 Department of Electronics and Communication Engineering, Sri Krishna College of Engineering and Technology, Coimbatore, IN
2 Department of Electronics and Communication Engineering, RMK Engineering College, Chennai, IN
3 DRDO, IN
Source
ICTACT Journal on Image and Video Processing, Vol 1, No 1 (2010), Pagination: 1-12Abstract
A Non-linear adaptive decision based algorithm with robust motion estimation technique is proposed for removal of impulse noise, Gaussian noise and mixed noise (impulse and Gaussian) with edge and fine detail preservation in images and videos. The algorithm includes detection of corrupted pixels and the estimation of values for replacing the corrupted pixels. The main advantage of the proposed algorithm is that an appropriate filter is used for replacing the corrupted pixel based on the estimation of the noise variance present in the filtering window. This leads to reduced blurring and better fine detail preservation even at the high mixed noise density. It performs both spatial and temporal filtering for removal of the noises in the filter window of the videos. The Improved Cross Diamond Search Motion Estimation technique uses Least Median Square as a cost function, which shows improved performance than other motion estimation techniques with existing cost functions. The results show that the proposed algorithm outperforms the other algorithms in the visual point of view and in Peak Signal to Noise Ratio, Mean Square Error and Image Enhancement Factor.Keywords
Impulse Noise, Gaussian Noise, Motion Estimation, Median Based Filter, Minimum Median Square Error.- Experimental Investigation of Journal Bearing Performance Under Dry Conditions
Authors
1 K.C.G. College of Technology, Chennai-96, IN
2 Anna University, Chennai-25, IN