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Search Results: 1 - 10 of 136502 matches for " Dr.V.Narayani "
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Clustered Evaluation of Implementing Fuzziness and Uncertainty in Deception Detection with the Randomness Bridge for the Teenager Communication System
Mr.S.Rajkumar,Dr.V.Narayani
International Journal of Soft Computing & Engineering , 2013,
Abstract: In the recent era of computer electronic communication we are currently facing the critical impact of Deception which plays its vital role in the mode of affecting efficient information sharing system. Identifying Deception in any mode of communication is a tedious process without using the proper tool for detecting those vulnerabilities. This paper deals with the efficient tools of Deception detection in which combined application implementation is our main focus rather than with its individuality. We propose a research model which comprises Fuzzy logic, Uncertainty and Randomization. This paper deals with an experiment which implements the scenario of mixture application with its revealed results. We also discuss the combined approach rather than with its individual performance.
Speaker Identification in Network Environment
Dr.V. RADHA
International Journal of Engineering Science and Technology , 2010,
Abstract: The main objective of this paper is to identify a speaker in a networking environment. Automatic speaker identification is a fundamental task in speech processing. The proposed work is conducted in three phases, (1) Speech detection, (2) Clustering and (3) Speaker Identification. The process of capturing speech from a remote computer in an intranet environment involves recording huge volume of data or frames of speech. This is done by recording continuously the sound signals from the remote computer. The unwanted data in the recorded speech data is removed and the resultant data is taken to identification. MFCC technique is used for feature extraction and vector quantization is used for quantizing the features identified. To reduce the search space while performing the matching process between the speaker models and the input signal, a modified K-Means algorithm is used. After identifying the cluster that closely matches the input data, the present research work uses an innovative multi-step approach involving four tests for speaker identification. They are, cross correlation, frequency multiplication, frequency crosscorrelation and peak signal comparison. The Neyman-Pearson likelihood ratio test was used to combine the result of the four tests. The result of these tests ensures that the correct speaker is identified. The proposed system reduced computation time by 50-90% without affecting the identification process.
Maintainability of Software using Aspect Oriented Programming for Process quality Analysis
Dr.V.Khanaa. Krishna Mohanta
International Journal of Engineering and Computer Science , 2012,
Abstract: Among all the phases in software development cycle, maintainability forms the key phase. Once the software is engineered, Software maintenance is the most effort and cost consuming part. A quality software must be adaptable to any real time working conditions. In a component-based system, different components are integrated, enrichment/improvement of a component to make it adaptable to prevailing conditions require more cost. This research presents the modeling work and prototyping techniques, which highlights the importance of project quality analysis for perspective maintainability. Here we are proposing a mathematical approach for time computation which is the sum of response time and time for solution generation. For efficient analysis we require high execution speed for handling complex algorithms and huge data volumes. For this we are providing aspect oriented programming techniques which increase the development speed, modularity that outputs quality products
Performance Evaluation of IEEE 802.16 Grids using scheduling Algorithms
Krishna Mohantn,Dr.V.Khanaa
International Journal of Engineering and Computer Science , 2012,
Abstract: IEEE 802.16 standard was designed to support the bandwidth demanding applications with quality of service .Bandwidth is reserved for each application to ensure the QoS. For variable bit rate applications, however, it is difficult forth subscriber station (SS) to predict the amount of incoming data. The key concern on the bandwidth allocation and scheduling for non real time traffic are the fulfillment of its minimum throughput requirement and improvement of bandwidth utilization with acceptable delay. This paper proposes a simple and efficient scheduling framework for allocating bandwidth to non real time Polling Service (nrtPS) users in IEEE 802.16 grid. In this framework, jointly selective repeat ARQ at the MAC layer and adaptive modulation and coding techniques at the physical are considered. Numerical simulations demonstrate that the proposed scheduling approach provides a graceful compromise between bandwidth utilization and packet delivery delay while maintaining the minimum throughput requirements of nrtPS applications. Thus proves the efficiency of the proposed framework. The simulation is done for unicast scenario.
Opinion Mining Classification Using Key Word Summarization Based on Singular Value Decomposition
B Valarmathi,Dr.V Palanisamy
International Journal on Computer Science and Engineering , 2011,
Abstract: With the popularity of online shopping it is increasingly becoming important for manufacturers and service providers to ask customers to review their product and associated service. Typically the number of customer reviews that a product receives grows rapidly and can be in hundreds or even thousands. This makes it difficult for a potential customer to decide whether to buy the product or not. It is also difficult for the manufacturer of the product to keep track and manage customer opinions. Opinion mining is an emerging field that classifies a user opinion into positive and negative reviews. In this paper it is proposed to develop a methodology using word score based on Singular Value Decomposition by modeling a custom corpus for a given topic in which opinion mining has to be performed. Bayes Net and decision tree induction algorithms are used to classify the opinions.
IDENTIFYING NETWORK LOAD BALANCING REQUIREMENTS ON HISTORICAL TRAFFIC FLOW USING MACHINE LEARNING APPROACH FOR FLEXIBLE MULTIPATH NETWORKS
K BALAMURUGAN,Dr.V.PALANISAMY
Indian Journal of Computer Science and Engineering , 2010,
Abstract: Multipath routing uses several paths to distribute traffic from a source to destination. This not only improves network performance but also achieves load balancing and fault tolerance. Though multipath routing is not deployed widely in the internet, current systems chooses the paths with the same lowest cost to the destination and the same administrative distance.In this paper we propose a flexible multipath network wherein multipath routing algorithm is invoked when the quality of service is affected. Our proposal provides a method to gradually shift from a single path existing network to a reliable multipath network in the future.We have used machine learning approach to identify the instance when network load balancing is required with good results.
Adaptive Congestion Control status for mobile adhoc network
Dr.V.B.Narsimha
International Journal of Computer Science and Network , 2012,
Abstract: Routing protocols for mobile ad hoc networks (MANETs) havebeen explored extensively in last few years. Much of this work istargeted at finding a feasible route from a source to a destinationwithout considering current network traffic or applicationrequirements. Routing may let a congestion happen which isdetected by congestion control, but dealing with congestion inreactive manner results in longer delay, and unnecessary packetloss and requires significant overhead if a new route is needed.Routing should not be aware of, but also be adaptive to, networkcongestion. Adaptation to the congestion helps to increase both theeffectiveness and efficiency of routing. These problems are solvedby the congestion-aware routing protocols in certain degree. Theseprotocols which are adaptive to congestion status of mobile ad-hocnetwork can greatly improve the network performance. In thispaper, we present the survey of congestion adaptive routingprotocols for mobile ad-hoc network. Finally, the future directionof congestion-aware routing protocols is described.
MECHANICAL PROPERTIES OF GREEN COCONUT FIBER REINFORCED HDPE POLYMER COMPOSITE
Syed Altaf Hussain,Dr.V. Pandurangadu,Dr. K. Palanikuamr
International Journal of Engineering Science and Technology , 2011,
Abstract: During the last few years, natural fibers have received much more attention than ever before from the research community all over the world. These natural fibers offer a number of advantages over traditional synthetic fibers. The present study aims to determine the mechanical properties namely, Tensile strength (TS),Flexural strength (FS), and Impact strength (IS) of green coconut fiber reinforced HDPE polymer composite material. Experiments are planned to produce the test specimens according Taguchi’s L9 orthogonal arry concept. The control parameters considered were fiber volume fraction (Vf) and fiber length (fl). An attempt has been made to model the mechanical properties through response surface methodology (RSM). Analysis ofvariance (ANOVA) is used to check the validity of the model. The results indicated that the developed models are suitable for prediction of mechanical properties of green coconut fiber reinforced HDPE composite.
An Efficient Contrast Enhancement of Medical X-Ray Images -Adaptive Region Growing Approach
Dr. Krishna Mohanta,Dr.V.Khanaa
International Journal of Engineering and Computer Science , 2013,
Abstract: In digital image processing Medical Imaging is one of the most significant application areas. For visualizing and extracting more details from the given image processing of medical images is much more supportive. Several techniques are existing nowadays for enhancing the quality of medical image. Contrast Enhancement is one of the most functional methods for the enhancement of medical images. Various contrast enhancement techniques are in practice, some are as follows: Linear Stretch, Histogram Equalization, Convolution mask enhancement, Region based enhancement, Adaptive enhancement is already available. Based on characteristics of image choices can be done. On comparing my approach with the existing popular approaches of adaptive enhancement and linear stretching, it has been concluded that the proposed technique is giving much better results than the existing ones. Further, the technique is seed dependent so selection of seed is very important in this algorithm. A seed chosen in darker regions will give better results than the seed chosen in brighter region, because it is assumed that user will require enhancing the darker portions of the image. Furthermore, zooming window and edge growing method is used to visualize the edges more precisely which gives an added advantage is to doctors for better perception of X-ray.
4G TECHNOLOGY
Dr. Krishna Mohanta,Dr.V.Khanaa
International Journal of Engineering and Computer Science , 2013,
Abstract: The approaching 4G (fourth generation)mobile communication systems are projected to solve still-remaining problems of 3G (third generation) systems and to provide a wide variety of new services, from high-quality voice to high-definition video to high-data-rate wireless channels. The term 4G is usedbroadly to include several types of broadband wireless access communication systems, not only cellular telephone systems. One of the terms used to describe 4G is MAGIC—Mobile multimedia, anytime anywhere, Global mobility support, integrated wireless solution, and customized personal service. As a promise for the future, 4G systems, that is, cellularbroadband wireless access systems have been attracting much interest in the mobile communication arena. The 4G systems notonly will support the next generation of mobile service, but also will support the fixed wireless networks. This paper presents an overall vision of the 4G features, framework, and integration of mobile communication. The features of 4G systems might be summarized with one word—integration. The 4G systems are about seamlessly integrating terminals, networks, and applications to satisfy increasing user demands. The continuous expansion of mobile communication and wireless networks shows evidence of exceptional growth in the areas of mobile subscriber, wireless network access, mobile services, and applications
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