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Sheema A.D.,Thangavelu Engineering College
International Conference on "Emerging Trends in Robotics and Communication Technologies", INTERACT-2010 | Year: 2010

Control of trajectile and other systems requires reliable real-time estimates of the system state. The design procedure is the mathematical formulation of the state observer by vector calculus possible by different variants of the observer, the determination of its rectro position, attitude and the dynamic system behavior. State Estimation takes all the telemetry seen so far and uses it to determine the underlying behavior of the system at any point of time. It includes fault detection and isolation and continuous system parameter estimation. © 2010 IEEE.


Vijay M.,Thangavelu Engineering College
2012 International Conference on Machine Vision and Image Processing, MVIP 2012 | Year: 2012

This paper presents an efficient image restoration scheme with the help of Principal Component Analysis (PCA) with local pixel grouping (LPG) and Joint Bilateral Filter (JBF) in spatial domain and it also helps to preserve the image local structures. In LPG-PCA method, a vector variable is modeled by using a pixel and its nearest neighbors and also training samples are extracted using the local window and block matching based LPG. It also helps to preserve image local features after coefficient shrinkage in the PCA domain while eliminating noise. For further improvement, the same procedure is iterated again and the noise level is decreased in the second stage. In the third stage, the LPG-PCA output is used as a reference image for the Joint Bilateral Filter (JBF) to preserve and enhance the edges effectively. Experimental results shows that the proposed method gains very competitive denoising performance in terms of PSNR and also the fine structures in an image are preserved. The visual quality shows that this proposed method shows better performance when compare to other methods in reducing various types of noise. © 2012 IEEE.


N R.,Thangavelu Engineering College
Eurasip Journal on Wireless Communications and Networking | Year: 2015

Routing in ad hoc networks is challenging as nodes are mobile and links are continuously created and broken. Current on-demand ad hoc routing algorithms start route discovery after path break, incurring high cost to detect the disconnection and to establish a new route. Specifically, when a path is liable to break, the source is warned about the likelihood of disconnection. The source then starts path discovery avoiding disconnection entirely. A path is likely to break when link availability decreases. Since routing is nondeterministic polynomial (NP) hard, this work proposes an improved ad hoc on-demand multipath distance vector (AOMDV) based on link availability, neighboring node’s queuing delay, node mobility, and bit error rate. The optimal path is selected using BAT meta-heuristic optimization. Simulation shows improved performance compared to AOMDV. © 2015, R and N.


Shobana F.J.J.,Sri Lakshmi Ammal Engineering College | Narayanasamy R.,Thangavelu Engineering College
Eurasip Journal on Wireless Communications and Networking | Year: 2014

Wireless sensor networks face many threats which drain the energy. The performance of sensor network routing is much affected in the presence of selfish nodes with messages being delivered with a longer delay. Social network routing is a method in which the messages are selectively forwarded through the nodes where the encounters between these nodes are more likely to occur. Network reputations clearly speak about the quality of nodes involved in data forwarding. The idea is to utilise social network reputations of source or destinations for effective data forwarding in farmland sensor networks. © 2014, Shobana and Narayanasamy; licensee Springer.


Ramapraba P.S.,Panimalar Institute of technology | Ranganathan H.,Thangavelu Engineering college
International Journal of Applied Engineering Research | Year: 2015

Cervical cancer kills 260,000 women annually, and nearly 85% of these deaths occur in developing nations. Also it is the leading cause of cancer deaths in women. Disparities of health and poverty play a large role in this high mortality rate. This paper presents an automatic cervical cancer detection technique using colposcopic images. Wavelet and statistical based features are used to distinguish normal and abnormal tissue. The statistical features such as mean, standard deviation and skewness are obtained in the spatial domain. The wavelet energies are extracted from the wavelet decomposed image. Then these features are combined to form the feature vector and used for the detection. The segmented cancer region shows that the proposed fusion approach can detect the cancer affected region accurately than the wavelet and statistical features based approaches. © Research India Publications.


Sumithra Devi M.,Anand Institute of Higher Technology | Arthi A.P.,Thangavelu Engineering College | Thamizharasan K.,Sir Theagaraya College
Superlattices and Microstructures | Year: 2014

Single crystal of semiorganic nonlinear optical material of pure and Mg2+ doped ZTS were grown by slow evaporation technique from its aqueous solution. The grown crystal was characterized by single crystal XRD to determine the cell parameters. The Mg2+ doped was characterized by SEM and EDX spectrum. The chemical composition of both the pure ZTS and doped Mg2+ crystals were determined by Fourier transform infrared (FTIR). The optical absorption spectrum recorded in the wavelength was ranged from 200 to 2500 nm and its energy gap (Eg) for both pure ZTS is 4.47 eV and doped Mg2+ is 4.42 eV. The mechanical strength of the grown crystal was found from Vicker's microhardness measurements. It showed that pure and doped ZTS crystals are soft in nature. The dielectric measurement was carried out to study the different polarization mechanism and conductivity of the crystal. Photoconductivity studies revealed that the positive photoconductivity of the both were considered as grown crystals. © 2014 Elsevier Ltd. All rights reserved.


Lathamanju R.,Thangavelu Engineering College | Senthilkumar P.,Skr Engineering College
International Journal of Applied Engineering Research | Year: 2015

Wireless Sensor Networks comprises of large number of small size, low cost sensor nodes which have strictly limited sensing, computation and communication capabilities. Lifetime of sensor network is an important consideration for better performance of the network. Data aggregation is one of the techniques to increase the lifetime of the network by reducing the energy consumption with less number of transmissions. Security is also considered in data aggregation, and so many secure data aggregation algorithms are developed. In this paper we introduced Elliptic Curve cryptography-pattern based end to end secure data aggregation algorithm. Data aggregation is done before transmission using secure pattern method, so no need to decrypt and encrypt the data at cluster head as in [1], and dynamic key is used for security algorithm which provides better security by using different key for each and every session. To provide more security, datas are encrypted using ECC algorithm with reduced complexity to avoid time delay. In this paper, we provide a two level security with a suitable cryptography algorithm i.e. ECC with acceptable delay. © 2015 Research India Publications.


Kumar R.,Satyabama University | Ranganathan H.,Thangavelu Engineering College
International Journal of Applied Engineering Research | Year: 2014

Algorithms based on Machine Learning provides abundant scope to assess and classify a database built in the backdrop of biological states. This paper proposes a machine learning algorithm to scrutinize representative values of the subjects to yieldorganized classification. The scheme was implemented on two diverse states signifying values recorded under two different wavelengths. The effectiveness of the scheme is validated against indicators confusion matrix and Z-statistic. The algorithm symbolizes each state and the efficiency is measured by performance metric namely Precision, Recall and F-measure. The proposed classifiers exhibit 60% and 74. 40%, 66. 96% and 78. 80%, 0. 6328 and 0. 7653 respectively. © Research India Publications.


Prakash N.,Thangavelu Engineering College | Arungalai Vendan S.,Vellore Institute of Technology
International Journal of Biological Macromolecules | Year: 2016

The ternary blends consisting of Chitosan (CS), Nylon 6 (Ny 6) and Montmorillonite clay (MM clay) were prepared by the solution blending method with glutaraldehyde. The prepared ternary blends were characterization by Fourier transform infrared spectroscopy (FTIR), X-ray diffraction (XRD), Thermo gravimetric analysis (TGA), Differential scanning calorimetry (DSC) and Scanning electron microscope (SEM). The FTIR results showed that the strong intermolecular hydrogen bondings were established between chitosan, nylon 6 and montmorillonite clay. TGA showed the thermal stability of the blend is enhanced by glutaraldehyde as Crosslink agent. Results of XRD indicated that the relative crystalline of the pure chitosan film was reduced when the polymeric network was reticulated by glutaraldehyde. Finally, the results of scanning electron microscopy (SEM) indicated that the morphology of the blend was rough and heterogenous. Further, it confirms the interaction between the functional groups of the blend components. The extent of removal of the trace metals was found to be almost the same. The removal of these metals at different pH was also done and the maximum removal of the metals was observed at pH 4.5 for both trace metals. Adsorption studies and kinetic analysis have also been made. Moreover, the protonation of amine groups is induced an electrostatic repulsion of cations. When the pH of the solution was more than 5.5, the sorption rate began to decrease. Besides, the quantity of adsorbate on absorbent was fitted as a function in Langmuir and Freundlich isotherm. The sorption kinetics was tested for pseudo first order and pseudo second order reaction. The kinetic experimental data correlated with the second order kinetic model and rate constants of sorption for kinetic models were calculated and accordingly, the correlation coefficients were obtained. © 2015.


PubMed | Vellore Institute of Technology and Thangavelu Engineering College
Type: | Journal: International journal of biological macromolecules | Year: 2016

The ternary blends consisting of Chitosan (CS), Nylon 6 (Ny 6) and Montmorillonite clay (MM clay) were prepared by the solution blending method with glutaraldehyde. The prepared ternary blends were characterization by Fourier transform infrared spectroscopy (FTIR), X-ray diffraction (XRD), Thermo gravimetric analysis (TGA), Differential scanning calorimetry (DSC) and Scanning electron microscope (SEM). The FTIR results showed that the strong intermolecular hydrogen bondings were established between chitosan, nylon 6 and montmorillonite clay. TGA showed the thermal stability of the blend is enhanced by glutaraldehyde as Crosslink agent. Results of XRD indicated that the relative crystalline of the pure chitosan film was reduced when the polymeric network was reticulated by glutaraldehyde. Finally, the results of scanning electron microscopy (SEM) indicated that the morphology of the blend was rough and heterogenous. Further, it confirms the interaction between the functional groups of the blend components. The extent of removal of the trace metals was found to be almost the same. The removal of these metals at different pH was also done and the maximum removal of the metals was observed at pH 4.5 for both trace metals. Adsorption studies and kinetic analysis have also been made. Moreover, the protonation of amine groups is induced an electrostatic repulsion of cations. When the pH of the solution was more than 5.5, the sorption rate began to decrease. Besides, the quantity of adsorbate on absorbent was fitted as a function in Langmuir and Freundlich isotherm. The sorption kinetics was tested for pseudo first order and pseudo second order reaction. The kinetic experimental data correlated with the second order kinetic model and rate constants of sorption for kinetic models were calculated and accordingly, the correlation coefficients were obtained.

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