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Bethanney Janney J.,Sathyabama University | Rohini G.,St Josephs Institute Of Technology | Pauline J.,Sathyabama University
Research Journal of Pharmaceutical, Biological and Chemical Sciences | Year: 2015

Skin cancer, the deadliest form of cancer, must be diagnosed early for effective treatment. Skin cancer can be defined as skin growths with differing causes and various degrees of malignancy. This paper describes novel image processing approaches for detecting how malignant a skin lesion is, based on its texture feature and fractal feature analysis. Fractal features refers to the geometry of the skin lesion and its analysis quantifies complex shapes of the tumor. Whereas texture features refers to the contrast of the cancer image, homogeneity, energy, entropy, etc. Images are taken using a dermatoscope and digital camera. Fractal dimensions are calculated on these images as it has been already experimentally proven that most of the information about the malignancy of the tumor is contained in the contours of the tumor shape. Fractal analysis helps in differentiating malignant tumor from a benign tumor. The texture and fractal feature analysis is done with the help of Grey Level Co-occurrence Matrices (GLCM) technique. The decision whether the image given is cancer image or non cancer image, is done at the decision block with the help of Support Vector Machine (SVM).

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.

Chella Thevar G.K.,St Josephs Institute Of Technology | Rohini G.,St Josephs Institute Of Technology
Wireless Networks | Year: 2016

In wireless sensor networks, a sensor node communicates with a small set of neighbour sensor nodes and with the base station through a group leader or a cluster head. However, in some occasions, a sensor node required to move in the sensor networks. The node has to change its own position with the requirement of applications. Considering this phenomena, in this paper, we propose to design an angular function and private key management system authenticated by group leader for the transmission of a node. In the proposed scheme, the group is divided into sectors. The motion of the node is related with the angles to the group leader, which is the basis of our proposal. The nodes movement and activity should be tracked. The proposed scheme attains high connectivity and security with the help of the directional transreceiver. The lifetime of a node is increased, and it enables a node to move through the network and to transmit data to its neighbors. © 2016 Springer Science+Business Media New York

Rasakannu J.,St Josephs Institute Of Technology | Chinnagounder C.,Rmk Engineering College
Turkish Journal of Electrical Engineering and Computer Sciences | Year: 2016

This paper presents the design and implementation of small power switched reluctance generator (SRG)-based wind energy conversion system supplying stand-alone DC load. A finite element analysis (FEA) model is developed for the existing machine geometry using MagNet 7.1.1 and solved to obtain parameters like ux linkage, inductance, and torque. The data obtained from the FEA model are utilized to develop an SRG machine model in the MATLAB/Simulink environment. The phase winding of the SRG is excited through asymmetric half bridge converter with dedicated buses for source and load to avoid absorbing a large current from the excitation battery. The performance of the system is analyzed for various values of torque input and dwell angle; the output of the SRG is supplied to the stand-alone DC load. A wind turbine with perfect maximum power point tracking algorithm is modelled to extract maximum power from the wind turbine and it is emulated by a DC motor. We implemented the SRG-based small power wind energy conversion system using a microcontroller. The results are examined. © 2016 Tübitak.

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.

Jayapragash R.,St Josephs Institute Of Technology | Chellamuthu C.,Rmk Engineering College
2014 International Conference on Science Engineering and Management Research, ICSEMR 2014 | Year: 2014

This paper deals with modeling and performance analysis of Switched Reluctance Generator (SRG). A Finite Element Analysis (FEA) model is developed for the existing machine geometry using MagNet 7.1.1 and solved to obtain the parameters like flux linkage, inductance and torque. The data obtained from FEA Model is utilized to develop model of SRG in the MATLAB/Simulink environment. The performance of SRG is analyzed at various operating conditions and operating variables are identified to control the output power. The model of SRG is developed with Regulator Circuit (RC) to regulate the output power irrespective of the load change and source voltage variations. © 2014 IEEE.

Rose J.D.,St Josephs Institute Of Technology | Komala J.,St Josephs Institute Of Technology | Krithiga M.,St Josephs Institute Of Technology
Procedia Computer Science | Year: 2016

Web page retrieval plays a major role nowadays. The proposed system helps in the development of optimized web page recommendation. The proposed system is a novel method to provide the web pages effectively and accurately by using genetic algorithm. First the entered query is pre-processed and similar word set is generated. It uses word net tool for semantic keyword set generation that is the various fields where that particular word is used. This tool uses the ontology concept for the keyword generation. The user has to click a word from these keyset or directly click the pre-processed word. The selected keyword is given as input to server and some webpages will be retrieved. The web contents are extracted from these webpages. Then the weightage of that particular word is calculated in all the documents/web contents retrieved. Weight Enhanced genetic algorithm which involves three main process that is selection, crossover and mutation is applied to the weights calculated. Finally, the webpage with highest weightage will be displayed first and then consequently remaining webpages will be displayed in the same manner. © 2016 The Authors.

Baskaran M.,St Josephs Institute Of Technology | Prabakaran R.,St Josephs Institute Of Technology
Proceedings of the 2016 IEEE International Conference on Wireless Communications, Signal Processing and Networking, WiSPNET 2016 | Year: 2016

An optical microwave and millimeter-wave generation in a fiber optic communication link by heterodyning the output modes based on Stimulated Brillouin Scattering (SBS). The link resides of a 1552.52 nm DFB Laser diode, Mach Zehnder modulator (MZM), 40 Km single mode fiber and Optical receiver. The receiver has a high power optical pump source, a data recovery unit and a Bandpass filter. Finally, we build a Radio over Fiber system through simulation, and the transmission performance of the generated optical MMW signal is presented. © 2016 IEEE.

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.

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.

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