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Jayapragash R.,St Josephs Institute Of Technology | Chellamuthu C.,RMK Engineering College
Journal of Electrical Engineering and Technology | Year: 2015

This paper presents analysis of Switched Reluctance Machine (SRM) using Geometry Based Analytical Model (GBAM), Finite Element Analysis (FEA) and Fourier Series Model (FSM) with curve fitting technique. Further a Transient Analysis (TA) technique is proposed to corroborate the analysis. The main aim of this paper is to give in depth procedure in developing a Geometry Based Analytical Model of Switched Reluctance Machine which is very accurate and simple. The GBAM is developed for the specifications obtained from the manufacturer and magnetizing characteristic of the material used for the construction. Precise values of the parameters like Magneto Motive Force (MMF), flux linkage, inductance and torque are obtained for various rotor positions taking into account the Fringing Effect (FE). The FEA model is developed using MagNet7.1.1 for the same machine geometry used in GBAM and the results are compared with GBAM. Further another analytical model called Fourier Series Model is developed to justify the accuracy of the results obtained by the methods GBAM and FEA model. A prototype of microcontroller based SRM drive system is constructed for validating the analysis and the results are reported. © The Korean Institute of Electrical Engineers. Source


Savithiri V.,St Josephs Institute Of Technology | Nagarajan G.,Anna University
International Journal of Applied Engineering Research | Year: 2015

Water management is the most important factor that effects the performance of the Polymer Electrolyte Membrane Fuel Cell (PEMFC). The water management has two conflicting aspects-the membrane hydration requirement for protonic conductivity and the avoidance of water flooding that restricts the gas flow to the reaction sites. In this paper, the gas flow configuration and the humidification effects on the performance at specified operating temperatures are studied. The study includes two different configurations - hydrogen top oxygen top and hydrogen bottom oxygen top, with two humidification levels of 40% RH and 100% RH, at three different operating temperatures of 500ºC, 60ºC & 70ºC on the performance of PEMFC, keeping other operating conditions similar. The experimental results reveal that as the cell operating temperature increases, the performance decreases because of the dehydration of the membrane, for low reactant humidification at the inlet. When the reactants are humidified, the performance of the cell improves due to the membrane hydration. The gas flow configuration which has the hydrogen input from the bottom and the oxygen input from the top, shows better performance compared to the configuration with both the hydrogen and the oxygen inputs from the top. Further, the former configuration with low inlet-reactant humidification, gives the same performance as later configuration with full humidification of inlet-reactants, which reduces the parasitic power loses. © Research India Publications. Source


Dafni Rose J.,St Josephs Institute Of Technology
International Journal of Applied Engineering Research | Year: 2015

Text Clustering is an unsupervised method that is used to group similar text documents. In text clustering, the documents are first pre-processed, and features are extracted using various techniques. The retrieved features will then be clustered. There are various methods that are available for both feature extraction and text clustering. Usually, in the clustering process, the key terms are extracted in the form of words or phrases. In this work, first the features are extracted in the form of sentences using various formulae. Then, the sentences are weighed and a certain ratio of sentences with the highest weight-age is extracted from each document. Then the summarized sentences are clustered semantically using the WordNet. Wordnet is an online dictionary, and using that, the semantics between the sentences are found. Furthermore, based on the similarity between the sentences, the documents are clustered. Semantics is an important factor that must be considered in the clustering process and in this the work semantic relationship between sentences is taken into consideration. The results are tested using Reuters-21578 dataset. © 2015 Research India Publications. Source


Moorthy R.S.,St Josephs Institute Of Technology
International Journal of Applied Engineering Research | Year: 2015

Cloud Computing offers all services in on demand manner and attracts the user with the slogan pay per use. It is also used for massive storage of data, as well as to perform intensive applications. Resource Management in the cloud computing is the most important challenging issue. Resource management includes optimal resource discovery and allocation. Optimal resource discovery decrease job rejection ratio. The efficient resource allocation mechanism increases the consumer satisfaction and also minimizes penalty cost. Hence, in this paper we have proposed Similarity based resource discovery, and Hybrid Swarm based Resource allocation mechanism (H-PSO) to optimally discover and allocate the resources for processing user applications. The proposed S2RM (Similarity and Swarm based resource Management) is integrated with scheduler. The proposed H-PSO based resource allocation is compared with existing random allocation in terms of user satisfaction, response time, request cost and penalty cost. The simulation is carried out in Eclipse IDE with Java programming environment. The simulation results show that the proposed S2RM is efficient than existing random allocation. © 2015 Research India Publications. Source


Padmamalini N.,St Josephs Institute Of Technology | Ambujam K.,Dr Ambedkar Government Arts College
Materials Science in Semiconductor Processing | Year: 2016

Nanocrystalline ZrO2-V2O5-TiO2 composite was synthesized by co-precipitation method and calcined at 500 and 700 °C. The formation of the composite material has been confirmed by X-ray diffraction analysis. The surface morphology was determined by SEM and HRTEM and it was seen that increase in calcination temperature increases the grain size. EDX analysis confirms the presence of zirconium, titanium and vanadium in the lattice. Optical absorption studies reveal a very low absorption in the visible region for both the samples. The dielectric constant, loss and ac conductivity of the pelletized samples have been examined at different temperatures as functions of frequency and the activation energies were calculated. The results indicated that the dielectric constant increases with calcination temperature. It was seen that the dielectric constant increases on the addition of Vanadia to zirconia-titania composite making it ideal for use as a gate dielectric material. © 2015 Elsevier Ltd. All rights reserved. Source

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