Vivekanandha Institute of Engineering and Technology for Women

Tiruchengodu, India

Vivekanandha Institute of Engineering and Technology for Women

Tiruchengodu, India
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Senthilraja S.,Anna University | Vijayakumar K.,Vivekanandha Institute of Engineering and Technology for Women | Gangadevi R.,SRM University
Archive of Mechanical Engineering | Year: 2017

This article reports the effects of CuO/water based coolant on specific fuel consumption and exhaust emissions of four stroke single cylinder diesel engine. The CuO nanoparticles of 27 nm were used to prepare the nanofluid-based engine coolant. Three different volume concentrations (i.e 0.05%, 0.1%, and 0.2%) of CuO/water nanofluids were prepared by using two-step method. The purpose of this study is to investigate the exhaust emissions (NOx), exhaust gas temperature and specific fuel consumption under different load conditions with CuO/water nanofluid. After a series of experiments, it was observed that the CuO/water nanofluids, even at low volume concentrations, have a significant influence on exhaust emissions. The experimental results revealed that, at full load condition, the specific fuel consumption was reduced by 8.6%, 15.1% and 21.1% for the addition of 0.05%, 0.1% and 0.2% CuO nanoparticles with water, respectively. Also, the emission tests were concluded that 881 ppm, 853 ppm and 833 ppm of NOx emissions were observed at high load with 0.05%, 0.1% and 0.2% volume concentrations of CuO/water nanofluids, respectively. © 2017 S. Senthilraja et al., published by De Gruyter Open.

E M.,Vivekanandha Institute of Engineering and Technology for Women
European Journal of Remote Sensing | Year: 2015

For the identification of deforestation, numerous techniques and features have been developed and used to maximize the segmentation accuracy. Choosing appropriate texture features and extraction methods are one of the most significant issues in remote sensing image applications. This work proposes a Modified Sum of Difference using diagonal texture feature extraction with multiresolution segmentation algorithm to maximize the segmentation accuracy. First, the Modified Sum of Difference using diagonal matrix (MSODDM) algorithm is applied to the input image; this divides the image into a number of coarse objects. Secondly, the multiresolution algorithm with the threshold value of 200 is applied to the coarse image produced by MSODDM for getting finer segmentation result. Finally, the accuracy of the segmented image is compared with the sample input image used in the experimental study. Thus, the proposed method generates more promising result of reaching 97.02% of segmentation accuracy, which results in better classification of remote sensing images in detecting deforestation.

Kalpana R.,Vivekanandha Institute of Engineering and Technology for Women
European Journal of Scientific Research | Year: 2011

Ad hoc networks, the new paradigm of wireless communication are susceptible to malicious attacks through denial of services, traffic analysis and spoofing. Security problems of ad hoc network can be addressed by the use of anonymity and trust mechanisms. The anonymous networks mask the identification information like traffic flow, network topology, paths from malicious attackers. Ad hoc routing protocols with anonymity measures protect the privacy of nodes and also check the information flow by malicious nodes. Similarly trust plays a very important role for intermediate node selection in adhoc networks. Trust is essential as selfish and malicious nodes not only pose a security issue but also decreases the QOS. In this paper a novel routing protocol to address anonymous routing with trust which improves the overall security of the ad hoc network is proposed. © EuroJournals Publishing, Inc. 2011.

Menaka E.,Vivekanandha Institute of Engineering and Technology for Women
International Journal of Applied Engineering Research | Year: 2014

The focus of the paper is to analyze the deforestation in different levels using a threshold based clustering algorithm. It underlines the percentage of degradation; it is a prime factor to predict forest fire. The functioning of the proposed algorithm is based on the cluster defined and the threshold calculated by the algorithm. Depends on the forest type, the cluster is defined. If the cluster is 3, it gives 3 levels forest cluster, otherwise if it is 5 the resulting forest regions are like as 0%-20%, 21%-40%, 41%-60%, 61%-80% and above 80% of dense. Secondly, the threshold value is calculated based on the mean and maximum of red pixel in input image, is used to perceive the precise dry pixel in each forest region. The calculated threshold value is applied to each cluster generated by the k-means algorithm and the experimental results indicate that the proposed algorithm KAT outperforms than the K-Means algorithm, Threshold algorithm, Watershed and Watershed with a threshold to compute the deforestation in different levels in remote sensing images. It can be a highly efficient algorithm to detect the possibilities of forest fire region, which in turn would be a reliable source of information to Forest Fire Management System to initiate preventive measures to curb the maximum destruction rate to be caused to the living organism. © Research India Publications.

Sathyamurthy R.,Hindustan University | Sathyamurthy R.,Research and Consultancy | Nagarajan P.K.,Sa Engineering College | El-Agouz S.A.,Tanta University | And 2 more authors.
Energy Conversion and Management | Year: 2015

The main objective of this research is to increase the contact time of water in the basin to enhance yield of fresh water by using a semicircular absorber solar still with baffles. An experimental as well as theoretical investigation is carried out. The productivity and efficiency of present still are analyzed with the influence of the number baffles and the water flow rate. A good agreement between the experimental and theoretical results is observed. The results indicate that, the daily yield of present solar still is higher than that for conventional still approximately by 16.66%. The outlet water temperature present solar still is high subsequently, it can be coupled with multi-state of solar stills to increase productivity. Therefore, the present solar still can be sufficiently extended for other continuous solar desalination systems. Economic analysis concluded that, the payback period of the present model solar still is quicker while comparing it with other solar still. © 2015 Elsevier Ltd. All rights reserved.

Senthilraja S.,Anna University | Vijayakumar K.,Vivekanandha Institute of Engineering and Technology for Women | Gangadevi R.,SRM University
Digest Journal of Nanomaterials and Biostructures | Year: 2015

In this present study, the thermal conductivity of Al2O3/water, CuO/water and Al2O3 – CuO/water hybrid nanofluid were investigated experimentally. The two step method was adopted to prepare the hybrid nanofluid. Three different volume concentrations of nanofluids (0.05, 0.1 & 0.2%) were prepared by dispersing Al2O3 and CuO nanoparticles in water. The properties of single and hybrid nanofluids were measured by varying the temperature from 20℃ to 60°C. The obtained results demonstrate that the thermal conductivity of nanofluids are the function of volume concentration and temperature. Also the experimental results showed that a maximum of 9.8 % enhancement of thermal conductivity was observed for 0.2% particle volume concentration. The experimental thermal conductivity values were compared with the theoretical thermal conductivity values. © 2015, Inst Materials Physics. All rights reserved.

Kavitha K.,Vivekanandha Institute of Engineering and Technology for Women | Krishnamoorthi K.,Salem College
Journal of Theoretical and Applied Information Technology | Year: 2014

To overcome the conduction and switching losses generated by earlier converter designs, we propose a new genetic algorithm based Cuk converter design which increases the performance of photovoltaic system. The objective is to produce high-efficiency, voltage and current of a PV system with help of GA Controller. The requirement of continuous and controlled flow of voltage has met with the support of GA controller and the capacitors present with the schematic design helps this requirement to be met in an efficient way. The MOSFET controls the voltage in bi-direction and the capacitors help to supply the voltage in a steady flow. The capacitors get charged both in serial and parallel execution of the circuit and the MOSFET controls the flow of voltage. The conduction losses are reduced by using GA controller in closed loop condition which reduces the switching losses and increases the output energy. © 2005 - 2014 JATIT & LLS. All rights reserved.

Rajagopal R.,Vivekanandha Institute of Engineering and Technology for Women | Chitra M.,Salem College
2012 3rd International Conference on Computing, Communication and Networking Technologies, ICCCNT 2012 | Year: 2012

Grid and cloud computing is a kind of important information technology which enables resource sharing globally to solve the large scale problem. Security plays very important role in any internet system, specifically in Grid and Cloud computing system. Since all the resources are shared in grid computing system, trust relationship is very crucial. Different domains have different policies in rendering their resources. Cloud Security combines parallel processing, grid computing, the judgment of unknown viruses and other emerging technologies and concepts, through the mass of the network client, detects status of all abnormal behavior and obtains the latest information of Trojans, viruses and other undesirable programs, sends information to the server for automatic analysis and processing, distributes solutions to each client to solve insecurity. This paper proposes an interoperability security protocol for both grid and cloud computing. There is no need for separate security protocol for grid and cloud computing environments. © 2012 IEEE.

Nithya Kalyani S.,k-Technology | Sasikala E.,k-Technology | Gopinath B.,Vivekanandha Institute of Engineering and Technology for Women
International Journal of Computers, Communications and Control | Year: 2015

In this paper, developed a novel Voronoi Fuzzy Clustering (VF) algorithm for energy efficient collaborative data aggregation in wireless sensor network. VF algorithm is fusion of Voronoi diagram and modified Fuzzy C- Means with respect to distance and Quality of Service. Here throughput, delay time and delivery ratio are considered as QOS parameters. Once clustering of sensor nodes is completed then data management technique such as data aggregation or compression is done for further decision making in sink node. Data mining clustering algorithm reduces overall transmission of data from each sensor to the sink node thus energy spent by individual sensor node is minimized. The cluster heads collects all sensed information from their respective cluster members and performs data aggregation or compression before transmitting the data to the sink node. Finally, the simulations are performed and the results are analyzed within the simulation set up to determine performance of the proposed algorithm in the sensor network. Our proposed approach has achieved 60% efficiency when compare with the K means algorithm. © 2006-2015 by CCC Publications.

Menaka E.,Vivekanandha Institute of Engineering and Technology for Women | Kumar S.S.,Vivekanandha Institute of Engineering and Technology for Women | Bharathi M.,Vivekanandha Institute of Engineering and Technology for Women
International Journal of Computer Applications in Technology | Year: 2015

This paper describes a technique - efficient cloud detection and removal (ECDR) algorithm based on remote sensing information. It is obvious that cloud masking has been a challenging risk in receiving the information from the satellite sensor images. For instance, in-paint and multitemporal averaging method, which are existing approaches implemented against the cloud masking but still the requirement has been found inadequate as it has partially contributed to its removal. Hence, the proposed ECDR algorithm paves the way to find accurate information. The cloud-obscured area reconstructed by the ECDR algorithm involves two steps: detecting the cloudy region by pixels values and reconstruction of cloudy regions. For cloud masking, the algorithm calculates the percentage of variance in earlier remote sensing information and, based on the percentage, the cloud pixel value is replaced. Thus, the found ECDR algorithm accuracy is much better than the existing algorithms for deducing information. Copyright © 2015 Inderscience Enterprises Ltd.

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