Sri Ramakrishna Engineering College
Sri Ramakrishna Engineering College
Abirami M.,Sri Ramakrishna Engineering College
International Journal of PharmTech Research | Year: 2015
The present research article describes the study of antimicrobial activity of salicylaldimine Schiff base. Compounds containing an azomethine group (-CH=N-), known as Schiff bases are formed by the condensation of a primary amine with carbonyl compounds. Schiff bases are very important in medicinal and pharmaceutical fields because of their wide spectrum of biological activities. Most of them show biological activities such as antibacterial, antifungal as well as antitumor activity. The salicylaldimine derivatives 1a, 1c, 1d exhibited significant antibacterial and antifungal activity. © 2015, Sphinx Knowledge House. All rights reserved.
Kingsy Grace R.,Sri Ramakrishna Engineering College
Journal of Parallel and Distributed Computing | Year: 2014
Data replication techniques are used in data grid to reduce makespan, storage consumption, access latency and network bandwidth. Data replication enhances data availability and thereby increases the system reliability. There are two steps involved in data replication, namely, replica placement and replica selection. Replica placement involves identifying the best possible node to duplicate data based on network latency and user request. Replica selection involves selecting the best replica location to access the data for job execution in the data grid. Various replica placement and selection algorithms are available in the literature. These algorithms measure and analyze different parameters such as bandwidth consumption, access cost, scalability, execution time, storage consumption and makespan. In this paper, various replica placement and selection strategies along with their merits and demerits are discussed. This paper also analyses the performance of various strategies with respect to the parameters mentioned above. In particular, this paper focuses on the dynamic replica placement and selection strategies in the data grid environment. © 2013 Elsevier Inc. All rights reserved.
Shanmugasundram R.,Sri Ramakrishna Engineering College |
Yadaiah N.,JNTUH College of Engineering
IEEE/ASME Transactions on Mechatronics | Year: 2014
This paper presents design and digital implementation of a fuzzy controller for achieving improved performance of Brushless dc (BLDC) servomotor drive. The performance of fuzzy and PID controller-based BLDC servomotor drives is investigated under different operating conditions such as change in reference speed, parameter variations, load disturbance, etc. BLDC servomotors are used in aerospace, instrumentation systems, space vehicles, electric vehicles, robotics, and industrial control applications. In such applications, conventional controllers like P, PI, and PID are being used with the BLDC servomotor drive control systems to achieve satisfactory transient and steady-state responses. However, the major problem associated with the conventional PID controller is that the tuned gain parameters obtained for such BLDC servomotor drive control systems do not yield better transient and steady-state responses under different operating conditions such as parameter variations, load disturbances, etc. In this paper, design and implementation of fuzzy controller is presented and its performance is compared with PID controller to show its capability to track the error and usefulness of fuzzy controller in control applications.©1996-2012 IEEE.
Murugananthan V.,Bharathiar University |
ShivaKumar B.L.,Sri Ramakrishna Engineering College
Indian Journal of Science and Technology | Year: 2016
Background/Objectives: After a deep survey carried out by the National data premises with stats which reveals that the insufficient models which are existing in the real world scenario for modelling the data values in educational CMS, educational websites etc. are insufficient. In this paper a new adaptive data mining techniques is used to model the educational data using the DM classifiers. Methods/Statistical analysis: A deep study and interactive graphical representation for e-commerce in educational system has been defined in a refined view. Here the proposed data model using advanced classifier introduces a new agent based intelligent system which construct the data model in form of 3D cubes for every classification. For example, the classifier classifies the data model with subject to tutor, faculty, students, syllabi, academia orientation. Findings: The parameter mentioned is modelled in the cubical view. These cubical data model are given as the inbound inputs to the processing tools like OLAP, OPAC. Experimental results in the form of data model are demonstrated in the result section. During the experiment, the data's are read into the matrix and then processed. Applications/Improvements: Finally the cubic model can be used to any short of modelling techniques which supports all the relational models, logical models and physical models, whereas the proposed model has been demonstrated as the result for the selective datasets and has not been tested with any universal data mining DB's.
Thomas Renald R.C.,Sri Ramakrishna Engineering College |
Somasundaram P.,KS Rangasamy College of Technology
Energy Procedia | Year: 2012
Environment pollution due to vehicles exhaust emission is still a severe crisis and an international concern has been raised for its control and diminution. Especially, man-kind is experiencing an epidemic of illnesses made worse by air pollution mainly because of increased number of automotive vehicles. The main problem faced by most of the vehicles today is the emission of NO x which can be controlled by different ways such as exhaust gas recirculation, using alternate fuels, turbo charging, and different mode of combustion. On the other hand, diesel engines are the most trustworthy power sources in the transportation. Due to inflexible emission norms and rapid depletion of petroleum resources, there has been a continuous exertion to use alternative fuels. Further researches are being carried out to reduce emission rates and these researches would be explored till reducing the exhaust emission upto zero level. In such a way, the present investigation explores with a series of experiments towards effective combustion of air, LPG and diesel mixture without encompassing major modification in the engine construction. Here, LPG jet is inducted through air inlet to accomplish homogeneous mixture then it is allowed into the combustion chamber of CI engine. The major parameters of the LPG jet injector are optimised through CFD technique by utilizing a commercial CFD code. Changes in the performance of the engine and emission levels with the influences of the jet parameters are observed and analysed experimentally. The optimized jet parameters obtained through CFD technique and the experimental results achieved from the dual fuelled CI engine show considerable improvement in the engine performance and significant reduction in CO 2, CO, HC and NO x emission besides the normal engine performance and emission levels of diesel fuel induction. Eventually, an artificial neural network (ANN) model is developed for predicting the emission levels based on the jet parameters, applying load and % of LPG induction by utilizing the experimental results. It is also found that the predicted results provided good agreement with the experimental results. © 2011 Published by Elsevier Ltd.
Balasangameshwara J.,Atria Institute of Technology |
Raju N.,Sri Ramakrishna Engineering College
Journal of Network and Computer Applications | Year: 2012
Due to the emergence of grid computing over the Internet, there is a need for a hybrid load balancing algorithm which takes into account the various characteristics of the grid computing environment. Hence, this research proposes a fault tolerant hybrid load balancing strategy namely AlgHybrid-LB, which takes into account grid architecture, computer heterogeneity, communication delay, network bandwidth, resource availability, resource unpredictability and job characteristics. AlgHybrid-LB juxtaposes the strong points of neighbor-based and cluster based load balancing algorithms. Our main objective is to arrive at job assignments that could achieve minimum response time and optimal computing node utilization. Major achievements include low complexity of proposed approach and drastic reduction of number of additional communications induced due to load balancing. A simulation of the proposed approach using Grid Simulation Toolkit (GridSim) is conducted. Experimental results show that the proposed algorithm performs very well in a large grid environment. © 2011 Elsevier Ltd. All rights reserved.
Balasangameshwara J.,PES Institute of Technology |
Raju N.,Sri Ramakrishna Engineering College
IEEE Transactions on Computers | Year: 2013
Computational grids provide a massive source of processing power, providing the means to support processor intensive applications. The strong burstiness and unpredictability of the available resources raise the need to make applications robust against the dynamics of grid environment. The two main techniques that are most suitable to cope with the dynamic nature of the grid are load balancing and job replication. In this work, we develop a load-balancing algorithm by juxtaposes the strong points of neighbor-based and cluster-based load-balancing methods. We then integrate the proposed load-balancing approach with fault-tolerant scheduling namely MinRC and develop a performance-driven fault-tolerant load-balancing algorithm or PD-MinRC for independent jobs. In order to improve system flexibility, reliability, and save system resource, PD-MinRC employs passive replication scheme. Our main objective is to arrive at job assignments that could achieve minimum response time, maximum resource utilization, and a well-balanced load across all the resources involved in a grid. Experiments were conducted to show the applicability of PD-MinRC. One advantage of our approach is the relatively low overhead and robust performance against resource failures and inaccuracies in performance prediction information. © 1968-2012 IEEE.
Raj J.S.C.M.,Salem College |
Jeyakumar A.E.,Sri Ramakrishna Engineering College
IEEE Transactions on Industrial Electronics | Year: 2014
A new method of tracking the maximum power point (MPP) of a photovoltaic (PV) module is presented in this paper, which exploits the effects of the inherent characteristic resistances of the PV cells. An analysis of the iv characteristics of the PV module in the iv plane revealed a possibility of predicting the MPP by finding the maximum possible power rectangle within the iv characteristic. The maximum possible power rectangle has been determined by a background online sweeping technique in the power region of the iv characteristic without disturbing the PV module. The power region in the iv characteristic can be determined by the effects of the characteristic resistances of the PV module. The results obtained through simulations and experiments have validated the proposed technique. The effectiveness of the proposed method has closely matched with the true MPP, and the successful experimental results obtained with a 100-Wp PV module indicate that the technique can be favorably implemented for stand-alone PV power systems. © 1982-2012 IEEE.
Christy Mano Raj J.S.,Salem College |
Ebenezer Jeyakumar A.,Sri Ramakrishna Engineering College
Solar Energy | Year: 2014
A new method of tracking the maximum power point (MPP) of a photovoltaic (PV) module exploiting the effects of the inherent characteristic resistances of the photovoltaic cells is proposed in this paper. An analysis of the mathematical model of the IV characteristic of the PV module revealed a possibility of estimating the MPP from its characteristic parameters such as the open circuit voltage (Voc), short circuit current (Isc), series resistance (Rse) and the shunt resistance (Rsh). The first stage of estimation process, for obtaining the voltage at the MPP, was facilitated by the effects of the series and shunt resistance on the IV characteristic of the PV module and the second stage of estimation process was facilitated by the combined process of the first stage of estimation and the condition for extracting the maximum power from the mathematical model of the pv characteristic of the PV module. The estimated voltage at the MPP in the second stage of estimation was found very close to the true MPP. The effectiveness of tracking the MPP with the proposed method has closely matched with the true MPP. This was validated by the results obtained through simulations and experiments. An analysis of the effects of degradation on the performance of the proposed technique showed that the performance was excellent during the first few years and with the update of characteristic resistances in the proposed algorithm the performance was found to be almost invariant. The successful experimental results obtained with a 100Wp PV module indicate that the technique can be favourably implemented for standalone PV power systems. © 2014 Elsevier Ltd.
Palanivelrajan A.R.,Sri Ramakrishna Engineering College |
Anbarasu G.,Sri Ramakrishna Engineering College
International Journal of ChemTech Research | Year: 2016
Industrialization throughout the globe has increased in past two decades which in turn being the reason for decrease in the Fossil Fuels. The decrease in Fossil Fuels has resulted in research of alternate fuels which can efficiently decrease the usage of fossil fuel consumption either by direct usage of Alternate fuel or in addition with fossil fuel produced Petroleum Product such as Petrol/Diesel. The Experimental Project work was inspired from the increasing research work that has been done in the field of “BIOFUELS” produced from the non-edible oils. The non-edible oil used in the project is extracted from Cebia Pentandra seed (silk cotton seed, Kapok seed), through two step esterification process the oil is converted to Biodiesel. Five different Blends of Biodiesel-Diesel is used, whose Engine performance and emission characteristics are studied by fueling CI engine at constant compression ratio. In this experimental work the results of Engine Performance and Emission characteristics of the Biodiesel Blends are compared to the Diesel Performance and emission characteristics. © 2016, Sphinx Knowledge House. All rights reserved.