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Search Results: 1 - 10 of 200941 matches for " P. Saravanan "
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FPGA Based Speed Control of SRM with Optimized Switching Angles by Self Tuning  [PDF]
P. Saravanan, R. Arumugam, M. Senthil Kumaran
Circuits and Systems (CS) , 2016, DOI: 10.4236/cs.2016.78134
Abstract:

The electromagnetic torque and speed in Switched Reluctance Motor (SRM) greatly depend on the excitation parametersi.e.?turn-on angle, turn-off angle, dwell angle and magnitude of the phase currents of its phases. At lower speeds, a change in the current contributes the torque requirement which can be achieved either by voltage control (pulse width modulation) or instantaneous current control techniques. At high speeds, due to high back EMF, the regulation of current is crucial and achieved with the control of switching angles of phases. This type of control is referred as average torque control, where the torque is averaged over one stroke (2π/Nr). With constant dwell angle, advancing the phase angle influences the current into the phase winding at minimum inductance position. It has more time to get the current out of the phase winding before the rotor reaches the negative inductance slope. To maintain the speed of the motor at different load conditions, the turn-on and turn-off angles are adaptively varied. The change in dwell angle may be required where the turn-on and turn-off angle may not be sufficient to reach the required speed. In this paper, a new algorithm is proposed for self tuning of switching parameters of SRM. The proposed algorithm is simulated in MATLAB-Simulink and experimentally validated with Field Programmable Gated Array (FPGA) using MATLAB- system generator environment.

FPGA Based Real Time Monitoring System for Agricultural Field
M. Dinesh,,P. Saravanan
International Journal of Electronics and Computer Science Engineering , 2012,
Abstract: The most important factors for the quality and productivity of plant growth are temperature, humidity, light and the level of the carbon dioxide. Continuous monitoring of these environmental variables gives information to the grower to better understand, how each factor affects growth and how to manage maximal crop productiveness .The optimal greenhouse climate adjustment can enable us to improve productivity and to achieve remarkable energy savings - especially during the winter in northern countries. The system itself was usually simple without opportunities to control locally heating, lights, ventilation or some other activity, which was affecting the greenhouse interior climate. This all has changed in the modern greenhouses. The typical size of the greenhouse itself is much bigger what it was before, and the greenhouse facilities provide several options to make local adjustments to the lights, ventilation, heating and other greenhouse support systems.However, more measurement data is also needed to make this kind of automation system work properly. Increased number of measurement points should not dramatically increase the automation system cost. It should also be possible to easily change the location of the measurement points according to the particular needs, which depend on the specific plant, on the possible changes in the external weather or greenhouse structure and on the plant placement in the greenhouse. For the implementation of agricultural technologies, low cost and real time remote monitoring are needed, in this sense, programmable Logic Devices (PLDs) present as a good option for the technology development and implementation, because PLDs allow fast development of prototypes and the design of complex hardware systems using FPGAs (Field Programmable Gate Arrays) and Complex Programmable Logic Devices.
DPO 14 - An early maturating mutant of Isabgol (Plantago ovata Forsk)
P. Manivel* and R. Saravanan
Electronic Journal of Plant Breeding , 2010,
Abstract: DOP-14 is an early maturing mutant of Isabgol. It has early maturing with desirable traits such as high seed yield, early &uniform seed maturation and high harvest index. It can be an important source for developing early maturing high yieldingIsabgol varieties with desirable quality.
Exergy Analysis of Single Array Wind Farm Using Wake Effects  [PDF]
A. Jeya Saravanan, C. P. Karthikeyan, Anand A. Samuel
Engineering (ENG) , 2011, DOI: 10.4236/eng.2011.39117
Abstract: The influence of wake parameters on the exergy analysis of single array wind farm is studied in this paper. Key parameters which influence wake effects in a wind farm are wind velocity, tip speed ratio, number of blades, rotor speed, rotor diameter and hub height. Three different models namely power, wake and exergy model were used in estimating the exergy efficiency of the single array wind farm. Even though it is ideal for wind farms to fix the wind turbines in rows and columns the conditions of the site may not always be condu- cive for it. Hence analysis has been done keeping the wind turbines at random in a row and the effect of positioning on the performance is analyzed. Energy and exergy efficiency calculations were made for different cases by varying the positions of wind turbines in the single array wind farm. Standard relations were used in estimating the energy deficit in the wind farm due to wake effects. The wake effects were found to have an aggregated influence on the energy production of the wind farm, which results from the changes in the key parameters mentioned above. Potential areas for reducing energy losses by proper location and selection of turbines based on rating are highlighted. The influence of individual parameters contributing to the wake ef-fect were analyzed and discussed in detail.
Antagonistic potential of fluorescent Pseudomonas and its impact on growth of tomato challenged with phtopathogens
S Saravanan, P Muthumanickam, TS Saravanan, K Santhaguru
African Crop Science Journal , 2013,
Abstract: This study focused on the antagonistic potential of fluorescent Pseudomonas in vitro, and its inoculation effect on growth performance of Lycopersicon esculentum in Fusarium oxysporum and Rhizoctonia solani infested soil. Biochemical characteristics of fluorescent Pseudomonas showed that all ten isolates were positive to catalase, amylase, gelatinase and siderophore production. While three isolates (Pf5, Pf6 and Pf9) were oxidase positive, nine isolates (Pf1, Pf2, Pf3, Pf4, Pf6, Pf7, Pf8, Pf9, and Pf10) were tolerant to 6.5% NaCl. Isolates Pf5 and Pf6 were resistant to all the test antibiotics; in contrast, the remaining eight isolates responded differently to different antibiotics. Isolates Pf5 and Pf6 were antagonistic against 14 bacterial species, and two pathogenic fungi (F. oxysporum and R. solani). Inoculation with fulorescent Pseudomonas Pf5 induced a significant increase in root and shoot length, and dry weight. Treatment of plants with either F. oxysporum or R. solani drastically reduced the root and shoot length and dry weight of the plant. However, in the presence of fluorescent Pseudomonas the adverse effect of the pathogens on growth of L. esculentum was alleviated. Key Words: Amylase, gelatinase, Lycopersicon esculentum, phytopathogens
A New Technique on Neural Cryptography with Securing of Electronic Medical Records in Telemedicine System
N. Prabakaran,P. Saravanan,P. Vivekanandan
International Journal of Soft Computing , 2012,
Abstract: There is a necessity to secure the Electronic Medical Records (EMR) when the exchange of medical information is taken place among the patients and doctors. We can generate a common secret key using neural networks and cryptography. Two neural networks which are trained on their mutual output bits are analyzed using methods of statistical physics. In the proposed Tree Parity Machines (TPMs), hidden layer of each output vectors are compared. That is, the output vectors of hidden unit using Hebbian learning rule, left-dynamic hidden unit using Random walk learning rule and right-dynamic hidden unit using Anti-Hebbian learning rule are compared. Among the compared values, one of the best values is received by the output layer. Similarly, the other hidden units, left-dynamic hidden units and right-dynamic hidden units perform the same operations and values are received by the output layer. The output layer receives the inputs from the hidden layer and then calculates the weights using different transfer functions, which reduce the feedback mechanism because each output is compared. Then the best compared weight is updated in the output unit. The EMR is compressed using Huffman compression, the CEMR (Compressed EMR) which is based on password-protection from the combination of lower layer’s spy unit vector and upper layer’s spy unit vector. A network with feedback generates a secret key, which can be used to encrypt and decrypt the CEMR using Rijndael Algorithm. Also, the timing to break a secret key using brute force attack is also explained in this study.
Stand - Alone Wind Energy Supply System Using Permanent Magnet Synchronous Generator
Udhayakumar P,,Saravanan C,,M. Lydia
International Journal of Innovative Technology and Exploring Engineering , 2013,
Abstract: Energy demand across the world is increasing and the resources are becoming scarce. The major source of power is from the conventional sources only. Some of the conventional sources of energies like thermal energy is produced from the fossil fuel coal which are depleting and is only limited to 2030. Renewable sources of energies are Solar, Wind, Biomass, etc hold bright prospect for the future. Wind industry has made rapid strides in the recent years. Wind power penetration has increased significantly in many interconnected power systems. Wind farms in remote places can also serve as stand – alone wind energy supply system. In this paper simulation of stand – alone wind energy supply system using permanent magnet synchronous generator is done.
IMPLEMENTATION OF QUALITY CONTROL CHARTS IN BOTTLE MANUFACTURING INDUSTRY
A.SARAVANAN,DR P. NAGARAJAN
International Journal of Engineering Science and Technology , 2013,
Abstract: Statistical process control is a powerful collection of problem solving tools useful in achieving process stability and improving capability through the reduction of variability.SPC can be applied to any process. The major objective of SPC is to quickly detect the occurrence of assignable causes of process shifts so that investigation of the process and corrective action may be taken before many non conforming units are manufactured. The eventual goal of SPC is the elimination of variability in the process. It may not be possible to completely eliminate variability, but the control chart is an effective tool in reducing variability as much as possible. The main objective of this paper is to implement SPC schemes, study of control charts and comparison performance of various control charts for bottle manufacturing data.
Memory Efficient VLSI Architecture with High Throughput and Low Latency Image Decomposition Using 3D-DWT
Kiruthika.P,M.Saravanan
International Journal of Engineering Sciences & Research Technology , 2013,
Abstract: DWT is a well known application of image and video compression technique. A high throughput and pipelined base architecture for lifting multilevel 3-D DWT has been proposed. The redundancies have been removed which resulting from decimated wavelet filtering to maximize the HUE. The proposed structure involves proportionately less arithmetic resources and offers higher throughput rate and also includes local registers and RAM. Compared to the proposed structure it has very small latency compared to the latency of existing structures.DWT is designed based on the lifting scheme using recursive pyramid algorithms for multilevel lifting. The main idea of this architecture is to reduce the area-delay-product of the system by scheduling and partitioning. Hardware utilization efficiency of the design is improved by cascade pipelining architecture
Rotavirus infection among infants and young children in Chennai, South India
Saravanan P,Ananthan S,Ananthasubramanian M
Indian Journal of Medical Microbiology , 2004,
Abstract: BACKGROUND: Group A rotavirus has been recognized as the major etiologic agent of childhood gastroenteritis in infants and young children worldwide. Rapid progress towards the development of an efficacious rotavirus vaccine has warranted extensive epidemiological studies on rotavirus serotypes that cause severe disease in developing and developed countries and to monitor the emergence of newer and unusual strains in different geographical settings that could represent variants not covered by existing vaccines. METHODS: In this study, we determined the prevalence of rotavirus infection and characterised group A rotavirus in stool samples by using monoclonal antibody (MAb) based ELISA and polyacrylamide gel electrophoresis (PAGE). Stool samples were collected from 745 children of 0-3 years of age presenting to the hospital with acute diarrhea between March 1995 and August 1999. These were assayed for antigenic (group, subgroup, serotype) and genomic (viral RNA profile and VP7 and VP4 genotype) characterization by ELISA and PAGE. RESULTS: Out of 745 stool samples analysed 168 were found to be positive for rotavirus. Among these 118 could be assigned a subgroup (SG), serotype and electropherotype (E-type). The study has evidenced the predominant occurrence of strains with short E-type, SGI and serotype G2 in 66.1% of the samples. The presence of strains representing 10 different E-types and mixed genotype specificities with G2 P[4,8] and G1-G2 P[4,8] has documented the prevailing high genomic diversity of rotaviruses in this geographical area. CONCLUSION: This study has described the predominant strains of rotavirus in south India. There is a need for further detailed studies on the molecular characterization of rotaviruses which would have important implications in vaccine evaluation programmes.
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