Vidhya Mandhir Institute of Technology

Erode, India

Vidhya Mandhir Institute of Technology

Erode, India
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Ramkumar S.,Bannari Amman Institute of Technology | Rajarajan G.,Vidhya Mandhir Institute of Technology
Applied Physics A: Materials Science and Processing | Year: 2017

Nanocrystalline of pristine and nickel (Ni)-doped tungsten trioxide (WO3) thin films was deposited by chemical bath deposition method. The concentrations of Ni ions were varied from 0 to 10 wt%. In order to improve the crystallinity of the films were annealed at 600 °C for 2 h in the ambient atmosphere. X-ray diffraction results reveal that the WO3 doped with nickel crystallizes in monoclinic structure and the results are in good agreement with the standard JCPDS data (card no: 83-0951). AFM micrographs reveal that average grain size of about 27–39 nm for pure and Ni-doped WO3 thin films. In addition, the band gap of the Ni-doped WO3 nanostructures is facilely tunable by controlling the Ni contents. The humidity sensor setup was fabricated and measured for pure and Ni-doped WO3 thin film sensor with various level of RH (10–90%). The Ni-doped WO3 sensor showed fast response and high sensitivity than pure WO3. The photocatalytic activities of the films were evaluated by degradation of methyl orange, methylene blue and phenol in an aqueous solution under visible light irradiation. The photocatalytic activity of WO3 nanostructures could be remarkably enhanced by doping the Ni impurity. © 2017, Springer-Verlag Berlin Heidelberg.


Balamurugan R.,Kumaraguru College of Technology | Rajarajan G.,Vidhya Mandhir Institute of Technology
Optics and Lasers in Engineering | Year: 2017

The aim of the work is the assessment of drying process of latex paint by dynamic Laser speckle method. The basic concept of dynamic speckle technique is described. Laser light scattering by water borne sample is a time dependent surface activity. The variation of laser speckle intensity is due to the change of refractive index and the particle movements of the latex paint. A novel method, B/D counting technique to measure the dynamic activity of drying paint using co-occurrence matrix of Time History of Speckle Pattern (THSP) is presented. The result of drying process of latex paint by dynamic laser speckle method is compared with the gravimetric method and agreed well. © 2017 Elsevier Ltd


Kousalya A.,United Institute of Technology | Radhakrishnan R.,Vidhya Mandhir Institute of Technology
International Journal of Networking and Virtual Organisations | Year: 2017

The cloud computing enable the user to run their applications in remote data centres. Parallel processing solves the complexity of the application and it focus on improving responsiveness and utilisation. However, most existing task-scheduling methods do not considers the bandwidth requirements rather they consider task resource requirements for CPU and memory. In this paper, a novel task allocation model is proposed for the divisible task-scheduling. Foreground and background are the two partition of virtual machine based on the quantity of node. In order to achieve the optimised task allocation an optimisation algorithm (improved genetic algorithm) is implemented along with the foreground and background process. The optimised allocation scheme that determines proper number of tasks assigned to each virtual resource node is obtained. © Copyright 2017 Inderscience Enterprises Ltd.


Radhakrishnan R.,Vidhya Mandhir Institute of Technology
International Journal of Applied Engineering Research | Year: 2015

Around the world in almost all cities, taxis play an important role in providing personalized point-to-point transportation service. This dissertation presents the rapid advanced technique in the wireless communication technology. VANET emerges as a promising approach to provide road safety, vehicle traffic management and some applications like, cooperative scheme for medium access control (MAC), referred as CAH-MAC. Thus the main aim of the paper is neighboring nodes are cooperate by utilizing unreserved time slots, for retransmission of a packets when it failed by poor channel condition.Network life time is accomplished by finding multicast path that tends to minimize the variation energy of all the nodes. So this scheme increase the probability of successful packet transmission using relative mobility and hence to improve the network throughput. © Research India Publications.


Gayathri Devi K.,Coimbatore Institute of Technology | Radhakrishnan R.,Vidhya Mandhir Institute of Technology
Computational and Mathematical Methods in Medicine | Year: 2015

Purpose. Colon segmentation is an essential step in the development of computer-aided diagnosis systems based on computed tomography (CT) images. The requirement for the detection of the polyps which lie on the walls of the colon is much needed in the field of medical imaging for diagnosis of colorectal cancer. Methods. The proposed work is focused on designing an efficient automatic colon segmentation algorithm from abdominal slices consisting of colons, partial volume effect, bowels, and lungs. The challenge lies in determining the exact colon enhanced with partial volume effect of the slice. In this work, adaptive thresholding technique is proposed for the segmentation of air packets, machine learning based cascade feed forward neural network enhanced with boundary detection algorithms are used which differentiate the segments of the lung and the fluids which are sediment at the side wall of colon and by rejecting bowels based on the slice difference removal method. The proposed neural network method is trained with Bayesian regulation algorithm to determine the partial volume effect. Results. Experiment was conducted on CT database images which results in 98% accuracy and minimal error rate. Conclusions. The main contribution of this work is the exploitation of neural network algorithm for removal of opacified fluid to attain desired colon segmentation result. © 2015 K. Gayathri Devi and R. Radhakrishnan.


Ramkumar S.,Oxford Engineering College | Rajarajan G.,Vidhya Mandhir Institute of Technology | Singh H.K.,National Physical Laboratory India
Journal of Materials Science: Materials in Electronics | Year: 2016

The paper contributes the preparation and characterization of Sm0.43Nd0.10Sr0.47MnO3 thin film. The thin film deposited on the single crystal of LaAlO3 (001) substrates by DC-magnetron sputtering at 1053 K at a pressure of 200 m Torr. The deposited thin film was found to have insulating behavior when annealed in oxygen atmosphere at 1223 K for 24 h. The X-ray diffraction (XRD) study shows that, both 30 nm and 60 nm thin films reveal compressive strain. The magnetic measurement (M-H) shows that the paramagnetic to ferromagnetic transition temperature of 60 nm film is 145 K. At higher film thickness (~ 60 nm) a sharp insulator-to-metal transition is observed at 142 K (TIM = 142 K). 60 nm film show a huge temperature co-efficient of resistance (TCR) and low field magneto resistance/an-isotropic magneto resistance (MR/AMR) is observed. The difference in the magneto transport properties of the two films have been explained in terms of presence of the magnetically and structurally disordered layer at the film-substrate interface. © 2016 Springer Science+Business Media New York


Ramkumar S.,Oxford Engineering College | Rajarajan G.,Vidhya Mandhir Institute of Technology
Journal of Materials Science: Materials in Electronics | Year: 2016

We have successfully synthesized pure and iron (Fe) doped tungsten trioxide (WO3) and nanothin films were deposited by chemical bath deposition method on glass substrates coated with FTO (F-doped tin oxide). The as-deposited films were annealed at 600 °C for 2 h in ambient atmosphere in order to improve crystallinity and structural perfection. The effect of Fe doping on structural, optical, and morphology of thin films was analyzed by X-ray diffraction (XRD), Fourier transform infra-red (FTIR) spectra, UV–Vis spectra, Photoluminescence (PL), and Atomic force micrograph (AFM) images. The XRD measurements showed that both the pristine and Fe doped WO3 films crystallize in monoclinic structure and the results are in good agreement with the standard JCPDS data (Card no: 83-0950). The surface of the films are very smooth and the calculated roughness value is around 28–17 nm, which is in good agreement with the average crystallite sizes calculated by Scherrer’s formula. The optical band gap energy of was found to be decreased from 3.12 to 2.92 eV with increase of Fe concentrations (0–10 wt%). The photocatalytic activities of the films were evaluated by degradation of methylene orange (MO and Phenol in an aqueous solution under visible light irradiation. The photocatalytic activity of Fe (10 wt%) doped WO3 film was much higher than that of the pure WO3. The improved photocatalytic mechanism by Fe doping is also discussed. © 2015, Springer Science+Business Media New York.


Ramkumar S.,Bannari Amman Institute of Technology | Rajarajan G.,Vidhya Mandhir Institute of Technology
Journal of Materials Science: Materials in Electronics | Year: 2016

In this report, pristine and silver (Ag) doped tungsten trioxide (WO3) thin films were deposited on FTO-coated glass substrate by using simple chemical bath deposition method for the first time. The structural, morphological, and optical properties of pure and Ag-doped WO3 thin films have been systematically studied. The as-deposited films were annealed at 600 °C for 2 h in the ambient atmosphere in order to improve the crystallinity. The structural properties revealed that both pure and Ag-doped WO3 films exhibited the monoclinic phase of WO3. The surface morphology revealed that pure films showed the dense surface and films contained agglomerated grains which were uniformly distributed on the surface of the substrate. The optical transmittance decreased from 95 to 85 % for pure and Ag-doped WO3 films, respectively. The photocatalytic activities of the films were evaluated by degradation of methyl orange and Phenol in an aqueous solution under visible light irradiation. The photocatalytic activity of WO3 nanostructures could be extremely improved by doping with Ag. The improved photocatalytic mechanism by Ag also discussed. The films were further characterized by Fourier Transform Infrared (FTIR) spectra and photoluminescence spectra analysis. © 2016 Springer Science+Business Media New York


Gokuldev S.,Amrita University | Radhakrishnan R.,Vidhya Mandhir Institute of Technology
International Journal of Applied Engineering Research | Year: 2015

Grid computing has emerged as the next generation parallel and distributed computing methodology that aggregates geographically distributed heterogeneous resources which have the potential to solve large scientific applications. In addition to the challenges of job scheduling, the effective utilization of resources and fault tolerance plays a major role due to the unreliable nature of the grid environment. Load balancing is a technique to enhance the resources, utilizing parallelism, exploiting throughput improvisation and to reduce the response time through an appropriate distribution of the application. Several existing algorithms address the grid system with no resource broker and few with single resource broker to provide solution with increase in efficiency with a variety of load variations. The proposed work holds a grid scenario with multiple resources brokers explicitly created for each set of grid resources interconnected with each other, categorized based on the capacities of the Processing Elements (PEs) to balance the load and to achieve reduced execution time of jobs that are being processed. A Weighed Rank Based Scheduling (WRBS) algorithm is proposed for the Meta broker to route the incoming jobs to sub- level of resource brokers and hence as a result an optimum solution is obtained thus achieving the effective scheduling and optimum load balancing with effective utilization of resources under heterogeneous grid environment. The simulation result shows significant results with a minimum of four percentage increase in efficiency through reducing the overall execution of jobs for minimum load and thereby shows an increase in efficiency for greater loads depending on the number of incoming jobs. © Research India Publications.


Kalaiarasu M.,Sri Ramakrishna Engineering College | Radhakrishnan R.,Vidhya Mandhir Institute of Technology
Research Journal of Applied Sciences, Engineering and Technology | Year: 2015

In recent years, data are collected to a greater extent from several sources or represented by multiple views, in which different views express different point of views of the data. Even though each view might be individually exploited for discovering patterns by clustering, the clustering performance could be further perfect by exploring the valuable information among multiple views. On the other hand, several applications offer only a partial mapping among the two levels of variables such as the view weights and the variables weights views, developing a complication for current approaches, since incomplete view of the data are not supported by these approaches. In order to overcome this complication, proposed a Kernel-based Independent Component Analysis (KICA) based on steepest descent subspace two variables weighted clustering in this study and it is named as KICASDSTWC that can execute with an incomplete mapping. Independent Component Analysis (ICA) which exploit distinguish operations depending on canonical correlations in a reproducing kernel Hilbert space. Centroid values of the subspace clustering approaches are optimized depending on steepest descent algorithm and Artificial Fish Swarm Optimization (AFSO) algorithm for the purpose of weight calculation to recognize the compactness of the view and a variable weight. This framework permits the integration of complete and incomplete views of data. Experimental observations on three real-life data sets and the outcome have revealed that the proposed KICASDSTWC considerably outperforms all the competing approaches in terms of Precision, Recall, F Measure, Average Cluster Entropy (ACE) and Accuracy for both complete and incomplete view of the data with respect to the true clusters in the data. © Maxwell Scientific Organization, 2015.

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