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Search Results: 1 - 10 of 130725 matches for " Karthikeyan.V "
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DISASTER INFORMATION IN OPTIMAL ROUTE SELECTION
Karthikeyan.V
International Journal of Advances in Engineering and Technology , 2012,
Abstract: Cognitive wireless network consisted of multiple different types of wireless interface is one of efficient wireless transmission methods for Disaster Information Network, because it solves single wireless network problems like characteristics of wireless frequency or congestion form the use of same radio frequency. However, even if Disaster Information Network consisted of Cognitive Wireless Network, some of wireless node might be broken after severe disaster is happened. Therefore, it is necessary to consider about additional functions which the system never die. In this paper, we introduce Satellite System for optimal transmission control method in Cognitive Wireless Network in order to consider with severe disaster. First, as our previous study, proper wireless link and route selection is held by Extend AHP and Extend AODV with Min-Max AHP value methods for optimal transmission control in Cognitive Wireless Network. Then, check-alive function, alternate data transmission function, possible alternative route suggestion, and network reconfiguration are introduced to our proposed Disaster Information Network by using Satellite System. In the simulation, ns2 are used for the computational results to the effectiveness of the suggested transmission methods in the hybrid system of cognitive wireless and satellite network system.
Active Timing Based Approach for Tracking Anonymous Peer-to-peer Network in VoIP
Karthikeyan.C,Karthikeyan.V,Jerin Sajeev.C.R,,Merlin Moses.M
International Journal of Soft Computing & Engineering , 2013,
Abstract: Peer-to-peer VoIP calls are popular due to theirlow cost and convenience. When these calls are encrypted andanonymized the network becomes a secured one. Tracing of theanonymous VoIP call users are important and the tracedinformation about them should be sent to the server to knowhow long the users are in communication.The key challenge in tracking encrypted VoIP calls acrossanonymous communication system is to identify the correlationbetween the VoIP flows of the caller and the callee. Since all thetraffic of the peer-to-peer VoIP calls are encrypted, the best wayto track anonymous VoIP calls across the internet is using theActive timing based correlation. It is done by embedding aunique watermark into the inter-packet timing domain. Theanalysis shows that it only takes several milliseconds timeadjustment to make normal VoIP flows highly unique and theembedded delay value could be preserved across the low latencyanonymizing network. In this proposal, tracking of anonymousVoIP calls across internet was successfully achieved by usingactive time based correlation method and the resultsdemonstrate that tracing of anonymous peer-to-peer VoIP callson the internet is feasible and low latency anonymizing networksare susceptible to timing attacks.
A validated, related substance, GC method for 1,4-cyclohexanedione mono-ethylene Ketal  [PDF]
B. Karthikeyan, V. Srinivasan
Journal of Biophysical Chemistry (JBPC) , 2010, DOI: 10.4236/jbpc.2010.11009
Abstract: ABSTRACT A simple, economic, and time-efficient related substance, GC method has been developed for the analysis of 1,4-Cyclohexanedione mono- ethylene ketal(will be specified as ketal) in the presence of a potential impurity 1,4-cyclohexa- nedione bis (ethylene ketal) [will be specified as diketal]. Successful chromatographic separa- tion of the ketal from the impurity was achieved on a DBWAX ETR, 30 m x 0.32 mm x 1.0μ FT column with nitrogen as carrier gas and FID detector. The method was validated for linearity, accuracy, precision, and specificity and can be used for quality control during manufacture of ketal. A validated GC method is reported for the ketal for the first time.
Hilditchs Algorithm Based Tamil Character Recognition
V. Karthikeyan
Computer Science , 2013,
Abstract: Character identification plays a vital role in the contemporary world of Image processing. It can solve many composite problems and makes humans work easier. An instance is Handwritten Character detection. Handwritten recognition is not a novel expertise, but it has not gained community notice until Now. The eventual aim of designing Handwritten Character recognition structure with an accurateness rate of 100% is pretty illusionary. Tamil Handwritten Character recognition system uses the Neural Networks to distinguish them. Neural Network and structural characteristics are used to instruct and recognize written characters. After training and testing the exactness rate reached 99%. This correctness rate is extremely high. In this paper we are exploring image processing through the Hilditch algorithm foundation and structural characteristics of a character in the image. And we recognized some character of the Tamil language, and we are trying to identify all the character of Tamil In our future works.
A Novel Histogram Based Robust Image Registration Technique
V. Karthikeyan
Computer Science , 2014,
Abstract: In this paper, a method for Automatic Image Registration (AIR) through histogram is proposed. Automatic image registration is one of the crucial steps in the analysis of remotely sensed data. A new acquired image must be transformed, using image registration techniques, to match the orientation and scale of previous related images. This new approach combines several segmentations of the pair of images to be registered. A relaxation parameter on the histogram modes delineation is introduced. It is followed by characterization of the extracted objects through the objects area, axis ratio, and perimeter and fractal dimension. The matched objects are used for rotation and translation estimation. It allows for the registration of pairs of images with differences in rotation and translation. This method contributes to subpixel accuracy.
Tool Wear Classification Using Fuzzy Logic for Machining of Al/SiC Composite Material  [PDF]
V. Kalaichelvi, R. Karthikeyan, D. Sivakumar, V. Srinivasan
Modeling and Numerical Simulation of Material Science (MNSMS) , 2012, DOI: 10.4236/mnsms.2012.22003
Abstract: Tool wear state classification has good potential to play a critical role in ensuring the dimensional accuracy of the work piece and prevention of damage to cutting tool in machining process. During machining process, tool wear is an important factor which contributes to the variation of spindle motor current, speed, feed and depth of cut. In the present work, online tool wear state detecting method with spindle motor current in turning operation for Al/SiC composite material is presented. By analyzing the effects of tool wear as well as the cutting parameters on the current signal, the models on the relationship between the current signals and the cutting parameters are established with partial design taken from experimental data and regression analysis. The fuzzy classification method is used to classify the tool wear states so as to facilitate defective tool replacement at the proper time.
Hybrid Synchronization of Hyperchaotic Lorenz and Hyperchaotic Chen Systems via Active Control
V. Sundarapandian,R. Karthikeyan
Journal of Engineering and Applied Sciences , 2012, DOI: 10.3923/jeasci.2012.254.264
Abstract: This study investigates the hybrid synchronization of Hyperchaotic Lorenz and Chen Systems via adaptive control. Explicitly, researchers derive new results for the hybrid chaos synchronization of identical Hyperchaotic Lorenz Systems, identical Hyperchaotic Chen Systems and non-identical Hyperchaotic Lorenz and Chen Systems. In this study, Researchers assume that the parameters of both master and slave systems are unknown and we devise adaptive hybrid synchronization schemes using the estimates of parameters for both Master and Slave Systems. The adaptive hybrid synchronization results derived in this study are established using Lyapunov Stability Theory. Since, the Lyapunov exponents are not required for these calculations, the proposed Adaptive Control Method is very effective and convenient to achieve hybrid synchronization of identical and non-identical Hyperchaotic Lorenz and Chen Systems. Numerical simulations are shown to demonstrate the effectiveness of the proposed adaptive hybrid synchronization schemes for the hyperchaotic systems addressed in this study.
Anti-Synchronization of Lu and Pan Chaotic Systems by Adaptive Nonlinear Control
V. Sundarapandian,R. Karthikeyan
International Journal of Soft Computing , 2012, DOI: 10.3923/ijscomp.2011.111.118
Abstract: In this study, researchers apply control method to derive new results for the anti-synchronization of identical uncertain Lu systems, identical uncertain Pan systems and non-identical Lu and uncertain Pan systems. In adaptive anti-synchronization of identical chaotic systems, the parameters of the master and slave systems are unknown and we devise feedback control laws using estimates of the system parameters. In adaptive anti-synchronization of non-identical chaotic systems, the parameters of the master system are known but the parameters of the slave systems are unknown and we devise feedback control laws using the estimates of the parameters of the slave system. The adaptive anti-synchronization results derived in this study for uncertain Lu and Pan systems are established using Lyapunov stability theory. Since, the Lyapunov exponents are not required for these calculations, the adaptive control method is very effective and convenient to achieve anti-synchronization of identical and non-identical Lu and Pan chaotic systems. Numerical simulations are given to demonstrate the effectiveness of the proposed adaptive anti-synchronization schemes for the uncertain chaotic systems addressed in this study.
Adaptive Anti-Synchronization of Uncertain Tigan and Li Systems
V. Sundarapandian,R. Karthikeyan
Journal of Engineering and Applied Sciences , 2012, DOI: 10.3923/jeasci.2012.45.52
Abstract: In this study, researchers apply adaptive control method to derive new results for the anti- synchronization of identical Tigan Systems (2008), identical Li Systems (2009) and non-identical Tigan and Li Systems. In adaptive anti-synchronization of identical chaotic systems, the parameters of the master and slave systems are unknown and researchers devise feedback control law using the estimates of the system parameters. In adaptive anti-synchronization of non-identical chaotic systems, the parameters of the master system are known but the parameters of the slave system are unknown and researchers devise feedback control law using the estimates of the parameters of the slave system. The adaptive synchronization results derived in this study for the uncertain Tigan and Li Systems are established using Lyapunov Stability Theory. Since, the Lyapunov exponents are not required for these calculations, the adaptive control method is very effective and convenient to achieve anti-synchronization of identical and non-identical Tigan and Li Systems. Numerical simulations are shown to demonstrate the effectiveness of the adaptive anti-synchronization schemes for the uncertain chaotic systems addressed in this study.
Anti-Synchronization of Hyperchaotic Lorenz andHyperchaotic Chen Systems by Adaptive Control
V. Sundarapandian,R. Karthikeyan
International Journal of Systems Signal Control and Engineering Application , 2012, DOI: 10.3923/ijssceapp.2011.18.25
Abstract: In this study, researchers apply Adaptive control method to derive new results for the global chaos anti-synchronization of identical hyperchaotic Lorenz systems in 2007, identical hyperchaotic Chen systems in 2010 and non-identical hyperchaotic Lorenz and hyperchaotic Chen systems. In this study, we shall assume that the parameters of both master and slave systems are unknown and we devise adaptive anti-synchronization schemes using the estimates of parameters for both master and slave systems. The adaptive anti-synchronization results derived in this study are established using Lyapunov stability theory. Since, the Lyapunov exponents are not required for these calculations, the proposed Adaptive control method is very effective and convenient to achieve anti-synchronization of identical and non-identical hyperchaotic Lorenz and hyperchaotic Chen systems. Numerical simulations are shown to demonstrate the effectiveness of the proposed adaptive anti-synchronization schemes for the hyperchaotic systems addressed in this study.
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