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Thirunelveli, India

Mohanraj V.,Salem College | Chandrasekaran M.,GCE
Journal of Computer Science | Year: 2011

Problem statement: Every web user has different intent when accessing the information on website. The primary goal of recommendation system is to anticipate the user intent and recommend the web pages that contain user expected information. Effective recommendation of web pages involves two important challenges: accurately identifying the user intent and predict the result show that novel web usage mining method and ontological concept scoring algorithm based on website domain ontological profile helps the recommendation system imminent navigation pattern in such a way that it provides required content while users browse the predicted navigation. Approach: We present a ontology based approach to implement recommendation system that involves applying innovative web usage mining on log system to discover all possible imminent navigation patterns of current user and resolve any uncertainties in discovering the navigation pattern by applying ontological concept based similarity comparison and scoring algorithm. Results: result show that novel web usage mining method and ontological concept scoring algorithm based on website domain ontological profile helps the recommendation system to predict and present most relevant navigation pattern to users. Conclusion: our recommendation system confirms that ontology based approach should be used to ensure excellent accuracy in predicting and capturing future navigation pattern of web user. © 2011 Science Publications. Source

Athijayamani A.,ACCET | Stalin B.,Anna University | Sidhardhan S.,GCE | Boopathi C.,Master of Engineering in CAD
Journal of Composite Materials | Year: 2016

In the present communication an effective parametric analysis on the mechanical properties (tensile and flexural strength) of bagasse fiber-reinforced vinyl ester (BFRVE) composites were conducted, and then the fabrication process parameters were optimized by using Taguchi and analysis of variance techniques. Composites plates were fabricated by Taguchi's L18 experimental design as the function of process parameters such as fiber length, fiber content, fiber diameter, sodium hydroxide concentration and sodium hydroxide treatment duration. The optimum process parameters to obtain the maximum strength values were identified using signal-to-noise ratio calculations. Then, the results were analyzed to know the percentage contribution of each fabrication process parameter on the tensile and the flexural strength using analysis of variance. A multivariable non-linear regression model was developed to predict the strength values and compared with experimental strength values. The developed models were validated by 10 additional experimental results using the mean absolute percentage error (MAPE). The results reveal that the fiber content (40 wt%) is the most significant factor influencing the tensile and flexural strength. An acceptable level of mean absolute percentage errors (8.57% for tensile strength and 9.13% for flexural strength) was obtained in both cases. Finally, the results indicate that this model can be used efficiently for prediction of tensile and flexural strength of BFRVE composites without any further experiments. © The Author(s) 2015. Source

Manikanda Devarajan N.,Salem College | Chandrasekaran M.,GCE
Optoelectronics and Advanced Materials, Rapid Communications | Year: 2015

The Orthogonal Frequency Division Multiplexing (OFDM) is used in various modern day wireless standards. It can be realized in two ways namely, Fast Fourier Transform (FFT) and Discrete Wavelet Transform (DWT). The OFDM-FFT shows a performance improvement in terms of area, speed and power but fails to improve Peak-to-Average-Power-Ratio (PAPR). On the other hand the OFDM-DWT shows a promising improvement in terms of PAPR. This paper presents a reconfigurable Orthogonal Frequency Division Multiplexing (OFDM), which will configure between the Fast Fourier Transform (FFT) and Discrete Wavelet Transform (DWT) based on the application needs. The proposed reconfigurable OFDM is developed using Verilog HDL and targeted in Xilinx Virtex 5 FPGA (xc5v1x30ff324). The proposed OFDM shows a remarkable performance improvement in terms of Peak-to-Average-Power-Ratio (PAPR) at the cost of area overhead. The area overhead is due to the Discrete Wavelet Transform (DWT) architecture which consumes 16.14% more Gate Element (GE) than the Fast Fourier Transform (FFT) architecture. However, the proposed architecture with shared resources saves 58.67% and 57.05% sliced LUT and Gate Element (GE) respectively. © 2015, National Institute of Optoelectronics. All rights reserved. Source

Hota S.S.,SIET | Rout M.,GCE
International Journal of Acoustics and Vibrations | Year: 2011

The hallmark of this paper is the adoption of the constraint technique, in combination with a subparametric, triangular-plate bending element of first-order shear deformation, to maintain uniform mesh size and shape even while dealing with cutouts of arbitrary shapes. The evolution of two cutout models in the present investigation is a distinct improvement over the existing practices of cutout analysis. The use of matching polynomials offers he scope of eliminating the hazards of locking and spurious zero energy modes, while solving problems of very thin plates. Benchmark examples, as well as the author's own problems on free vibration of rectangular plates with different shapes of cutouts, have been solved to exhibit versatility of these models. Mode shapes of plates with different shapes of cutout have also been provided. Source

Jothi S.,St. Josephs College | Chandrasekaran M.,GCE
Research Journal of Applied Sciences, Engineering and Technology | Year: 2014

In Wireless Sensor Networks (WSN), the clustering protocol requires the nodes local information like energy level, distance between to BS and node density, link quality and load while estimating the cluster heads to handle network lifetime. In this study, we propose fuzzy based optimal clustering protocol for maximizing lifetime in WSN. Initially, several provisional cluster heads are elected in a random manner. The nodes other than provisional cluster heads involve in gathering the neighbor nodes local information such as residual energy, distance, node density and network load. The collected information is fuzzified using fuzzy logic technique and appropriate cluster head and size are estimated. Based on uninterrupted operational mechanism of each cluster head, the cluster heads are updated, thereby reducing the frequency of cluster head updation. By simulation results, we show that the proposed technique enhances the network lifetime. © Maxwell Scientific Organization, 2014. Source

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