Apollo Engineering College
Apollo Engineering College
Prasanna Devi S.,Apollo Engineering College |
Suryaprakasa Rao K.,Anna University
Advances in Intelligent Systems and Computing | Year: 2015
The aim of this paper is to study about the awareness among the people in Chennai city, Tamil Nadu, about the causes of pollution. Initially, the k-means clustering method was applied to group variables rather than observations in the design of questionnaires. The first draft of a questionnaire contained more questions than is prudent to ensure a good response rate. When the draft questionnaire is tested on a smaller number of respondents (75 samples), it was observed that the responses to certain groups of questions are highly correlated. Hence, clustering analysis was applied to identify groups of questions that are most predominant in contributing to the reduction in air pollution in Chennai. Thus, the selected questions were used for survey purpose to study the acceptability among different sectors of people. Primary data were collected from 110 people belonging to different sectors of Chennai using questionnaire method. In the second level of cluster analysis, the cluster analysis was carried out to assign observations to groups. These results were further applied to identify the recommendation of suitable transport policies to mitigate vehicular pollution. This method of applying clustering techniques in two levels of the questionnaire analysis has been newly proposed in this paper. © Springer India 2015.
Devi S.P.,Apollo Engineering College |
Narahari Y.,Indian Institute of Science |
Viswanadham N.,Indian Institute of Science |
Kiran S.V.,Apollo Computer |
Manivannan S.,Dr. M.G.R. Educational and Research Institute
IEEE International Conference on Automation Science and Engineering | Year: 2015
In this paper, we propose to transform the traditional agricultural trading into an electronic exchange between the farmers and consumers in the agricultural supply chain. Preferential evaluations of buyer and supplier satisfactions are mathematically modeled and this preference matrix is given as input to Gale Shapely matching algorithm. The results of m∗n matching happens to be a very transparent approach in a bilateral e-trading environment. These results are compared with the results obtained using simple English auction method which produces Pareto-optimal matches. It is found that the proposed method produces stable matching, which is preference-strategy proof and it also reduces the need for number of rounds of allocation. © 2015 IEEE.
Chandramohan D.,Vel Technology |
Senthilathiban A.,Apollo Engineering College
International Journal of Applied Chemistry | Year: 2014
Jute fiber reinforced low density polyethylene (LDPE) composites (10-30% fiber, by weight) are prepared by compression molding. Tensile strength (TS), bending strength (BS) and bending elongation (BE) of the composites are increased over LDPE. Jute fiber is treated with monomer (2-hydroxyethyl methacrylate, HEMA) along with two different initiators in methanol solvent. Jute fibers are soaked with 10% HEMA+2% Irgacure-184 (F1-Formulation) and 3% HEMA+2% benzol peroxide (F2-Formulation) and dried at 80°C for 2 hours then composites are fabricated by compression molding. It is found that due to chemical treatment of the jute fibers, a significant improvement of the mechanical properties of the composites are happened (56% TS, 30% BS and 35% BE) compared to the LDPE. 3%HEMA+2% benzol peroxide treated jute composites found better mechanical properties compared to 10%HEMA+2% Irgacure-184 treated jute composites. Dielectric constant and loss tangent of the composites are increased with increasing temperature up to a transition temperature and then decreased, finally reached to plateau. © Research India Publications.
Srilatha K.,Sathyabama University |
Kaviyarasu S.,Apollo Engineering College
Research Journal of Pharmaceutical, Biological and Chemical Sciences | Year: 2015
Multimodal medical image fusion, as a great tool for the clinical applications, has developed with the advent of numerous imaging modalities in medical imaging. Medical image segmentation has advanced crucial technique in clinical and research-oriented applications. As manual segmentation techniques are tedious and semi-automatic segmentation lacking of flexibility, fully-automatic techniques become the preferred kind of medical image segmentation. In this paper, a novel fusion framework is proposed for multimodal medical images based on fully automatic segmentation scheme based on the modified contouring technique and non-subsampled contourlet transform (NSCT). First the source medical images have transformed by NSCT followed by merging low and high frequency components. Fusion rules based on phase congruency and directive contrast have proposed and used to fuse low and high frequency coefficients. Aimed at that fused image local threshold is computed and the initial points are resolute by computation of global threshold and also searching process is started from each one initial point to get closed loop contours. The entire process is fully automatic. Lastly, the fused image has made by the inverse NSCT with all combined coefficients. Tentative results and comparative study are shown that the proposed fusion framework offers an effective method to aid more perfect analysis of multimodality images. Advance, the applicability of the proposed framework carried out by the three clinical models of people affected with Alzheimer, subacute stroke and recurrent tumor.
Archana J.,Apollo Engineering College |
Chermapandan S.R.,Symantec |
2013 International Conference on Human Computer Interactions, ICHCI 2013 | Year: 2013
For a widespread usage of the software product, the product should be available and usable in different local languages of different countries. Many companies are planning to or have already invested time and money to internationalize their products and websites and localize them into other languages. When making a product to support multiple languages, there are chances for assumed conventions for a specific language. To ensure that the product is usable anywhere in the world while adapting to the cultural identity of the user we provide an automation framework to check the internationalization functionality of the product. The implementation of our proposed automation framework shows that it can identify the hardcoded content of a specific language, the text that has been over translated for a specific language and the character handling issues for various languages. The framework is flexible as it can be used for any web-based software product. The proposed framework will reduce the time involved in regression testing and with minimal effort the future enhancements of the product can be easily tested. © 2013 IEEE.
Parthasarathy K.A.,Apollo Engineering College
Journal of Theoretical and Applied Information Technology | Year: 2011
Web caching is an important technique to scale the Internet. One important performance factor of Web caches is the page replacement policies. Due to specific characteristics of the World Wide Web, there exist a huge number of proposals for cache replacement. Furthermore, the article discusses the importance of cache replacement strategies in modern proxy caches and outlines potential future research topics. In this paper we analyze effectiveness of LFU-K replacement policy for the purposes of caching on proxy servers and give the results of traces analysis taken from real proxy servers to reveal a set of properties of network traffic. On the basis of the analysis we have drawn a conclusion about expediency of usage of LFU-K policy which uses information about dynamic change of document popularity, for Web caching. The scheme of LFU-K policy is given as well as results of experiments aimed to compare its effectiveness with the most popular replacement algorithms. © 2005-2011 JATI & LLS. All rights reserved.
Nhagopal N.,SKP Engineering College |
PonniwalavanProfessor R.,Apollo Engineering College
International Journal of Oceans and Oceanography | Year: 2014
This proposed system for pre-processing and enhancement through Magnetic Resonance Image (MRI) is a gradient based image enhancement method and is based on the first derivative, local statistics. The main objective of this segmentation process is to increase the quality and efficiency of segmentation techniques in CAD system which is used for detection of brain tumor. In this work, image segmentation by metahuristic algorithms Genetic Algorithm and Parallel Ant colony optimization (PACO) methods are developed and applied MR brain image with the aim of segmenting normal tissue from tumor tissue. And also the work deals with the task of optimizing the approach for image segmentation in digitized MR brain image are investigated. © Research India Publications.
Bharathi Sankar A.,Apollo Engineering College
IEEE-International Conference on Advances in Engineering, Science and Management, ICAESM-2012 | Year: 2012
This paper presents the development of design, modeling and simulation for variable speed wind turbine doubly fed induction generator are simulated through computer software tool using MATLAB/SIMULINK. A variable wind speed turbine doubly fed induction generator with power electronics interface is modeled for dynamic simulation analysis. The MATLAB/SIMULINK is provided to implements the wind turbine and doubly fed induction generator components models and equations. Controllable power inverter strategies are intended for capturing the maximum power under variable speed operation and maintaining reactive power generation at a pre-determined level for constant power factor control or voltage regulation control. Control schemes for both wind turbine and doubly fed induction generator are constructed by user-define function provided in the simulation. Simulation case studies provide the variable speed wind doubly fed induction generator dynamic performance for changes in different wind speed. This control scheme of this model can be employed to regulate the real power, reactive power, generated voltage and generated speed at different wind speed in the power system. Simulation results of this model can be validate the real power, reactive power, generated voltage and generated speed at different wind speeds in the power system. Its simulations results are presented. © 2012 Pillay Engineering College.
Baskar A.,Apollo Engineering College
International Journal of Industrial Engineering Computations | Year: 2016
Permutation flow shop scheduling problems have been an interesting area of research for over six decades. Out of the several parameters, minimization of makespan has been studied much over the years. The problems are widely regarded as NP-Complete if the number of machines is more than three. As the computation time grows exponentially with respect to the problem size, heuristics and meta-heuristics have been proposed by many authors that give reasonably accurate and acceptable results. The NEH algorithm proposed in 1983 is still considered as one of the best simple, constructive heuristics for the minimization of makespan. This paper analyses the powerful job insertion technique used by NEH algorithm and proposes seven new variants, the complexity level remains same. 120 numbers of problem instances proposed by Taillard have been used for the purpose of validating the algorithms. Out of the seven, three produce better results than the original NEH algorithm. © 2016 Growing Science Ltd. All rights reserved.
Baskar A.,Apollo Engineering College |
Anthony Xavior M.,Vellore Institute of Technology
Procedia Engineering | Year: 2014
This paper analyses a specific case of permutation flow shop scheduling problem with job and machine priority. Sometimes, a particular job has to precede or succeed another job; or a set of jobs are to be together for a specific reason. Within the set of jobs also, there may be a condition that a particular job has to precede or succeed another job. In such case, the scheduling is done in two or more phases to optimize the makespan. In many occasions, the percentage utilization of a particular machine has to be increased due to several reasons. The machine may be costlier, rented, and highly precise or needs to be operated continuously. In the context of the permutation flow shop scheduling, the percentage utilization is calculated in terms of machining time compared with the makespan. For a fixed number of jobs, the total machining time for each machine is also fixed and reduction in the makespan only can increase the percentage utilization. On the other hand, splitting the machining times and regrouping may also help for achieving the objective. The problem is demonstrated with numerical examples. For trial purpose, the machining time of all the jobs that come before and after the priority machine are split (25% and 50%) individually and also in toto, and combined with the critical machine. The number of jobs and machines is kept the same. Consequently, the makespan and percentage utilization have been computed and compared with the original case. © 2014 The Authors.