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Search Results: 1 - 10 of 332107 matches for " R. KARUPPIAH and K. SEETHARAMAN "
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Rice flat sedge a new weed host of Curvularia tuberculata
R. KARUPPIAH and K. SEETHARAMAN
Indian Phytopathology , 2012,
Abstract:
An Innovative Low Cost EM Pollution Measurement System  [PDF]
R. Sittalatchoumy, R. Seetharaman
Circuits and Systems (CS) , 2016, DOI: 10.4236/cs.2016.78176
Abstract: Mobile phones and other electronic devices are emitting radiations that will provide harmful effects to the human health. In order to measure the radiation, an innovative low cost measurement system is proposed in this paper. The ideology is to simplify the circuit’s value by converting a voltage detecting circuit to a field detecting circuit by finding an optimum resistance on trial and error basis. The requirement for a trial and error technique is to not allow too high or too low resistance which can be either short or open, resulting provides more damage to the circuit.
Near-Lossless Compression Based on a Full Range Gaussian Markov Random Field Model for 2D Monochrome Images  [PDF]
K. Seetharaman, V. Rekha
Journal of Signal and Information Processing (JSIP) , 2013, DOI: 10.4236/jsip.2013.41002
Abstract:

This paper proposes a Full Range Gaussian Markov Random Field (FRGMRF) model for monochrome image compression, where images are assumed to be Gaussian Markov Random Field. The parameters of the model are estimated based on Bayesian approach. The advantage of the proposed model is that it adapts itself according to the nature of the data (image) because it has infinite structure with a finite number of parameters, and so completely avoids the problem of order determination. The proposed model is fitted to reconstruct the image with the use of estimated parameters and seed values. The residual image is computed from the original and the reconstructed images. The proposed FRGMRF model is redefined as an error model to compress the residual image to obtain better quality of the reconstructed image. The parameters of the error model are estimated by employing the Metropolis-Hastings (M-H) algorithm. Then, the error model is fitted to reconstruct the compressed residual image. The Arithmetic coding is employed on seed values, average of the residuals and the model coefficients of both the input and residual images to achieve higher compression ratio. Different types of textured and structured images are considered for experiment to illustrate the efficiency of the proposed model. The results obtained by the FRGMRF model are compared to the JPEG2000. The proposed approach yields higher compression ratio than the JPEG whereas it produces Peak Signal to Noise Ratio (PSNR) with little higher than the JPEG, which is negligible.

Regression Testing in Developer Environment for Absence of Code Coverage  [PDF]
M. Thillaikarasi, K. Seetharaman
Journal of Software Engineering and Applications (JSEA) , 2014, DOI: 10.4236/jsea.2014.78057
Abstract:

The techniques of test case prioritization schedule the execution order of test cases to attain respective target, such as enhanced level of forecasting the fault. The requirement of the prioritization can be viewed as the en-route for deriving an order of relation on a given set of test cases which results from regression testing. Alteration of programs between the versions can cause more test cases which may respond differently to following versions of software. In this, a fixed approach to prioritizing test cases avoids the preceding drawbacks. The JUnit test case prioritization techniques operating in the absence of coverage information, differs from existing dynamic coverage-based test case prioritization techniques. Further, the prioritization test cases relying on coverage information were projected from fixed structures relatively other than gathered instrumentation and execution.

Statistical Tests of Hypothesis Based Color Image Retrieval  [PDF]
K. Seetharaman, S. Selvaraj
Journal of Data Analysis and Information Processing (JDAIP) , 2016, DOI: 10.4236/jdaip.2016.42008
Abstract: This paper proposes a novel method based on statistical tests of hypotheses, such as F-ratio and Welch’s t-tests. The input query image is examined whether it is a textured or structured. If it is structured, the shapes are segregated into various regions according to its nature; otherwise, it is treated as textured image and considered the entire image as it is for the experiment. The aforesaid tests are applied regions-wise. First, the F-ratio test is applied, if the images pass the test, then it is proceeded to test the spectrum of energy, i.e. means of the two images. If the images pass both tests, then it is concluded that the two images are the same or similar. Otherwise, they differ. Since the proposed system is distribution-based, it is invariant for rotation and scaling. Also, the system facilitates the user to fix the number of images to be retrieved, because the user can fix the level of significance according to their requirements. These are the main advantages of the proposed system.
A Cluster Based QoS-Aware Service Discovery Architecture Using Swarm Intelligence  [PDF]
E. Christopher Siddarth, K. Seetharaman
Communications and Network (CN) , 2013, DOI: 10.4236/cn.2013.52018
Abstract:

The existing mobile service discovery approaches do not completely address the issues of service selection and the robustness faced to mobility. The infrastructure of mobile service must be QoS-aware plus context-aware (i.e.) aware of the user’s required-QoS and the QoS offered by the other networks in user’s context. In this paper, we propose a cluster based QoS-aware service discovery architecture using swarm intelligence. Initially, in this architecture, the client sends a service request together with its required QoS parameters like power, distance, CPU speed etc. to its source cluster head. Swarm intelligence is used to establish the intra and inter cluster shortest path routing. Each cluster head searches the QoS aware server with matching QoS constraints by means of a service table and a server table. The QoS aware server is selected to process the service request and to send the reply back to the client. By simulation results, we show that the proposed architecture can attain a good success rate with reduced delay and energy consumption, since it satisfies the QoS constraints.

Power Analysis of Sensor Node Using Simulation Tool  [PDF]
R. Sittalatchoumy, R. Kanthavel, R. Seetharaman
Circuits and Systems (CS) , 2016, DOI: 10.4236/cs.2016.713348
Abstract: Power consumption of sensor node is analyzed in this paper. In order to analyze the energy consumption, the node model is simulated using Proteus Software tool. The proposed sensor nodes power characteristics are measured by using different combinations of microprocessors and sensors. Using this, the energy consumption of the node is calculated. This is a cost-effective method and provides appropriate power model for specific applications.
Secure Routing Path Using Trust Values for Wireless Sensor Networks
S. Rajaram,A. Babu Karuppiah,K. Vinoth Kumar
Computer Science , 2014, DOI: 10.5121/ijcis.2014.4203
Abstract: Traditional cryptography-based security mechanisms such as authentication and authorization are not effective against insider attacks like wormhole, sinkhole, selective forwarding attacks, etc., Trust based approaches have been widely used to counter insider attacks in wireless sensor networks. It provides a quantitative way to evaluate the trustworthiness of sensor nodes. An untrustworthy node can wreak considerable damage and adversely affect the quality and reliability of data. Therefore, analysing the trust level of a node is important. In this paper we focused about indirect trust mechanism, in which each node monitors the forwarding behavior of its neighbors in order to detect any node that behaves selfishly and does not forward the packets it receives. For this, we used a link state routing protocol based indirect trusts which forms the shortest route and finds the best trustworthy route among them by comparing the values of all the calculated route trusts as for each route present in the network. And finally, we compare our work with similar routing protocols and show its advantages over them.
CatalyticPlasmaReactorforAbatementofDiluteNitrobenzene
J. KARUPPIAH,L. SIVACHRANDIRAN,R. KARVEMBU,Ch. SUBRAHMANYAM
催化学报 , 2011, DOI: 10.1016/S1872-2067(10)60190-8
Abstract: ?Oxidativedecompositionofdilutenitrobenzeneinairwascarriedoutinacatalyticplasmareactorwithaninnerelectrodemadeofsinteredmetalfibres(SMF)thatalsoactedascatalyst.Theparametersoftheconcentration,specificinputenergy,andgasresidencetimewereoptimized.ThemodificationoftheSMFinnerelectrodewithtransitionmetaloxideslikeMnOxandCoOxoxidespromotedcompleteoxidation,especiallyatlowinputenergy.CoOx/SMFshowedhigheractivitythanMnOx/SMFandSMF,andcouldoxidisecompletely100ppmofnitrobenzeneat300J/L.
Conceptual design of motorcycle’s lumbar support using motorcyclists’ anthropometric characteristics
Karmegam Karuppiah
Maejo International Journal of Science and Technology , 2011,
Abstract: This study presents the design and development of a prototype of lumbar support for motorcyclists corresponding to their anthropometric dimensions. The total design process model was used for this purpose. The critical design dimensions for the lumbar support (height, width, adjustable range and thickness) were obtained from the anthropometric dimensions of motorcyclists (1032 samples). The initial testing (trial runs) of the prototype proved to be successful as it was capable of providing comfort to the motorcyclists’ lumbar region during their riding process. However, further evaluation needs to be done in order to evaluate the stability, solidity, durability and safety of the prototype.
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