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Search Results: 1 - 10 of 20325 matches for " Kovvur Ram Mohan Rao "
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A Reliable Distributed Grid Scheduler for Independent Tasks
Kovvur Ram Mohan Rao,S Ramachandram,Vijaya Kumar Kadappa,A. Govardhan
International Journal of Computer Science Issues , 2011,
Abstract: Scheduling of jobs is one of the crucial tasks in grid environment. We consider non-preemptive scheduling of independent tasks in a computational grid. Recently, a general distributed scalable grid scheduler (GDS) was proposed, which prioritizes mission-critical tasks while maximizing the number of tasks meeting deadlines. However, the GDS scheduler did not consider the reliability factor, which may result in low successful schedule rates. In this paper, we propose a novel distributed grid scheduler which takes reliability factor (RDGS) into consideration with respect to the failure of grid nodes. The proposed scheduler invokes the tasks allocated to deficient grid nodes and maintains them in a queue. Further the queued tasks are rescheduled to the other nodes of the grid. It is observed that RDGS scheduler shows a significant improvement in terms of successfully scheduled tasks as compared to a variation of GDS without priority and deadlines (GDS-PD). The results of our exhaustive simulation experiments demonstrate the superiority of RDGS over the GDS-PD scheduler.
Multi Model Criteria for the Estimation of Road Traffic Congestion from Traffic Flow Information Based on Fuzzy Logic  [PDF]
Hari Shankar, P. L. N. Raju, K. Ram Mohan Rao
Journal of Transportation Technologies (JTTs) , 2012, DOI: 10.4236/jtts.2012.21006
Abstract: In this study, the road traffic congestion of Dehradun city is evaluated from traffic flow information using fuzzy techniques. Three different approaches namely Sugeno, Mamdani models which are manually tuned techniques, and an Adaptive Neuo-Fuzzy Inference System (ANFIS) which an automated model decides the ranges and parameters of the membership functions using grid partition technique, based on fuzzy logic. The systems are designed to human’s feelings on inputs and output levels. There are three levels of each input namely high, medium and low for input density, fast, medium and slow for input speed, and five levels of output namely free flow, slow moving, mild congestion, heavy congestion and serious jam for the road traffic congestion estimation. The results, obtained by fuzzy based techniques show that the manually tuned Sugeno type technique achieves 72.05% accuracy, Mamdani type technique achieves 83.82% accuracy, and Adaptive Neuro-Fuzzy Inference System technique achieves 88.23% accuracy. ANFIS technique appears better than the manually tuned fuzzy technique, and also the manually tuned fuzzy technique gives good accuracy which leads that the fuzzy inference system can capture the human perception better through manual adjustment of input/output membership functions.
Parametric sensitivity analysis of a heavy duty passenger vehicle suspension system
T. Ram Mohan Rao,G. Venkata Rao
Journal of Engineering and Applied Sciences , 2009,
Abstract: Suspension system design plays an important role in improving passenger comfort and road holding capabilities of an automobile. There is a compromise between the road holding and ride comfort. While Ride comfort is directly related to the acceleration sensed by passengers when traveling on a rough road, road holding ability is associated with the contact forces of the tires and road surface. Suspension travel or working space refers to the relative displacement between the sprung- mass and the un- sprung masses of the vehicle. The present mathematical work aims to determine the discomfort, road holding and working space in a passenger bus by using MATLAB through a quarter car model. The variabilities in the parameters of spring stiffness and damping are used to evaluate the standard derivations of the vertical vehicle body accelerations, tire radial force and relative displacement between wheel and vertical body. The rational selection of damping and suspension stroke and an estimation of speed limits can be had from these studies.
A Novel Approach for Fault Detection and its Analysis For Grid Connected Doubly Fed Induction Generators
Bhola Jha,K. Ram Mohan Rao
International Journal of Electrical and Power Engineering , 2012,
Abstract: Because of the intermittent nature of wind, its integration to the power system is still promising under fault condition with respect to power quality and stability. For the large penetration of wind energy, this study using an embedded time-frequency localization features in wavelet, provides deep insight to the character of transient signals for a proposed test system comprising 1 thermal plant and 3 DFIG-based wind plants. The test system results are analyzed onto the wavelet format for accurate detection and better resolution of the characters of transients. This is found that the presence of lower frequency bandwidth signals and larger magnitude wavelet coefficients are the root cause information for the stability and quality.
COMPENSATION TECHNIQUES FOR IMPROVING FRT CAPABILITY OF DFIG
BHOLA JHA,,Dr. K. RAM MOHAN RAO
International Journal of Engineering Science and Technology , 2011,
Abstract: Doubly Fed Induction Generator (DFIG) based wind turbine is state-of-the-art technology gaining the dominant market today. One of the major challenges for DFIG is its operation during the abnormal conditions like unbalanced grid voltage or unsymmetrical fault which is frequently encountered. The most severe problem for this is the sudden increase of dc voltage in the back-to-back voltage source converters. The main cause of increase of dc link voltage is the generation of negative sequence current. In this connection, this paper presents the comparison of control strategies in rotor rotating reference for the compensation of negative sequence current under unsymmetrical faults. The first strategy proposes an adaptive rotor current controller known as proportional integral and resonant (PIR) controller tuned at slip frequencies s s & for the regulation of negative sequence rotor currents. In the second strategy, signals are decomposed into positive and negative sequence components with the help of low pass filter for the regulation of negative sequence current. The performance comparison of both the strategies in terms of dc link voltage are presented and validated on MATLAB/SIMULINK platform.
A threat risk modeling framework for Geospatial Weather Information System (GWIS): a DREAD based study
K. Ram Mohan Rao,Durgesh Pant
International Journal of Advanced Computer Sciences and Applications , 2010,
Abstract: — Over the years, the focus has been on protectingnetwork, host, database and standard applications from internaland external threats. The Rapid Application Development (RAD)process makes the web application extremely short and makes itdifficult to eliminate the vulnerabilities. Here we study webapplication risk assessment technique called threat risk modelingto improve the security of the application. We implement ourproposed mechanism the application risk assessment usingMicrosoft’s threat risk DREAD model to evaluate the applicationsecurity risk against vulnerability parameters. The study led toquantifying different levels of risk for Geospatial WeatherInformation System (GWIS) using DREAD model.
Doubly Fed Induction Generator Analysis Through Wavelet Technique
Bhola Jha,K.Ram Mohan Rao
Journal of Engineering Science and Technology Review , 2009,
Abstract: Because of the intermittent nature of wind, its integration to the power system is still promising with respect to power qualityand stability. For the large penetration of wind energy, this paper using an embedded time-frequency localization features inwavelet, provides deep insight to the character of transient signals for a proposed test system comprising one thermal plantand three DFIG-based wind plants. The test system is first simulated and the results are mapped onto the wavelet formatfor accurate detection & better resolution of the characters of transients. This is found that the presence of lower frequencybandwidth signals accompanies relatively more energy and larger magnitude wavelet coefficients are the root cause for thestability and quality
Amelioration of Aluminium Toxicity in Pigeon Pea [Cajanus cajan (L.) Millsp.] Plant by 24-Epibrassinolide  [PDF]
N. Divya Sri, M. Madhan Mohan, K. Mahesh, K. Raghu, S. Seeta Ram Rao
American Journal of Plant Sciences (AJPS) , 2016, DOI: 10.4236/ajps.2016.712153
Abstract: The effect of 24-epibrassinolide on growth of pigeon pea [Cajanus cajan (L.) Millsp.] under aluminium toxicity was studied. 24-EBL reduced the impact of Al stress on plant growth. Particularly 24-EBL reduced the inhibitory impact of aluminium toxicity on root growth which was further manifested in overall improvement of vegetative growth. Application of 24-epibrassinolide removed the inhibitory influence of Al nodulation. The growth stimulation in Cajanus plants by 24-EBL under Al stress was associated with elevated levels of chlorophylls, nucleic acids and soluble proteins. 24-Epibrassinolide application enhanced proline content in Al3+ stressed Cajanus plants. Further, the supplementation of 24-epibrassinolide to Al stress treatments increased the activities of antioxidative enzymes viz., catalase [EC 1.11.1.6]; peroxidase [EC 1.11.1.7]; superoxide dismutase [EC 1.15.1.1] and ascorbate peroxidase [EC 1.11.1.11]. Lipid peroxidation induced by Al was found reduced with the supplementation of 24-epibrassinolide. The present studies demonstrated the ameliorating capability of 24-epibrassinolide on the Al induced inhibition of plant growth of C. cajan.
Removal of Hexavalent Chromium from Electroplating Industrial Effluents by Using Hydrothermally Treated Fly Ash
S. Ram Mohan Rao,V.V. Basava Rao
Journal of Applied Sciences , 2007,
Abstract: Chromium in the wastewater coming out from tanneries and electroplating industries is to be treated because of exposure to it may produce effects on the liver, kidney, gastrointestinal and immune systems. On the other hand, fly ash produced from coal fired power plants is having disposal problem and it has to be properly utilized. In this study, the fly ash, subjected to hydrothermal treatment is used as adsorbent to remove Cr (VI) from synthetic samples. The effect of initial stock solution, contact time, adsorbent dose and pH were studied in a batch experiment. Results are compared with powdered activated carbon, granular activated carbon and untreated fly ash. The capacity of adsorption was found to be increased in the case of treated fly ash and it follows the order of powdered activated carbon >granular activated carbon >treated fly ash >untreated fly ash. The adsorption isotherms of Langmuir constants and Freundlich constants for all the adsorbents were determined. The Langmuir adsorption isotherm was recommended.
ANALYSIS OF PASSIVE AND SEMI ACTIVE CONTROLLED SUSPENSION SYSTEMS FOR RIDE COMFORT IN AN OMNIBUS PASSING OVER A SPEED BUMP
T. Ram Mohan Rao, G. Venkata Rao, k.Sreenivasa Rao & A.Purushottam
International Journal of Research and Reviews in Applied Sciences , 2010,
Abstract:
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