St Josephs Institute Of Technology
St Josephs Institute Of Technology
Mohan P.,Karpagam College of Engineering |
Chelliah S.,St Josephs Institute Of Technology
International Journal of Information Security and Privacy | Year: 2017
Objective: The main aim is to de-duplicate the redundant files in the cloud and also to improve the security of files in public cloud service by assigning privileges to the documents when it is uploaded by confidential user. Methods: To achieve the objective the authors have used the AES algorithm to encrypt the file stored after de-duplication in the cloud. De-duplication is done based on comparison of contents, file type and size. For an authorized user to access the file from the cloud, generation of OTP using SSL protocol is adopted. Findings: Files uploaded in the cloud are encrypted using traditional encryption algorithms which don't provide high levels of security. Files can be accessed by anyone who is authorized. Privileges are not considered. During de-duplication, only the name and size of the files are considered. Application: Files within the public cloud can't be viewed by everyone who has registered with the cloud. Those who have the respective privileges can only view the file. Proof of Ownership is assured. Since de-duplication is done based on the content redundancy within the cloud storage is avoided. Usage of OTP ensures that the content is viewed by the individuals who have the respective privileges related to the file. These concepts provide additional security to the files stored in the public environment. © 2017, IGI Global.
Kamalakkannan S.,Sathyabama University |
Kirubakaran D.,St Josephs Institute Of Technology
Journal of Computational and Theoretical Nanoscience | Year: 2017
In this work, a grid system attached Z-Source inverters for PV system with perturb and observation algorithm is projected for changing irradiance and to use full obtainable PV power. The boost operation of PV power is attained in inverter using the perception of shoot-through time period. The PV inverter is an important component in a PV system. It executes the conversion of variable DC output of the PV panel module(s) in to pure sinusoidal 50Hz AC current. This pure sinusoidal AC in turn is fed to the grid connected system. The simulation is carried out in Matlab/Simulink platform and benefits of projected systems are emphasised with the aid of simulation results. © 2017 American Scientific Publishers.
Annie Grace Vimala G.S.,St Josephs Institute Of Technology |
Kaja Mohideen S.,Tamil University
Biomedical Research (India) | Year: 2017
Diabetic Retinopathy (DR) is one of the most common health problems of long-standing diabetes. It is a progressive disease and finally results in blindness. Early detection of diabetic retinopathy can prevent the damage to the retina and vision loss or at least slow its progression. The aim of the present study was to develop a Computer Aided Diagnostic System (CAD) in order to diagnose diabetic retinopathy by extracting blood vessels, optic disc and exudates from retinal digital fundus images and to validate the system with multiple image databases. The digital color fundus images obtained from 60 Indian women, 40 images from Digital Retinal Images for Vessel Extraction (DRIVE) database, 40 images from Structured Analysis of Retina (STARE) database and 89 images from DIARETDB1 database were used for the present study. For each image the hand drawn ‘ground truth’ result was collected. Then the quantitative analysis of the proposed algorithm with Support Vector Machine (SVM) classifier has been carried out and the results are compared against the ‘ground truth’. The extracted features such as mean intensity, mean area of the segmented region, number of segmented regions and solidity were displayed significant (p<0.001) differences between normal and diabetic retinopathy group for all test image dataset. The developed Computer-Aided Drafting (CAD) for diabetic retinopathy screening is validated with publicly available fundus image databases containing the ‘ground truth’ collected from several experts and comparison with private database. The proposed Support Vector Machine (SVM) classifier gives the sensitivity, specificity and accuracy values of around 92%. Hence, the proposed Computer-Aided Drafting (CAD) system could be useful for diabetic retinopathy screening. © 2017, Scientific Publishers of India. All rights reserved.
Akilandeswari A.,St Josephs Institute Of Technology |
Sakthivel P.,Anna University
Asian Journal of Information Technology | Year: 2016
Now a days, there is very much use of multimedia technologies, so there is need of improvement in the image compression technique in terms of performance and also the new features. Due to advantages of the discrete wavelet transform over the traditional transforms, it became very popular in the area of image processing. A Fast Architecture (FA) for 2-D Discrete Wavelet Transform (DWT) with use of improved Lifting scheme is presented in this study. Likewise embedded decimation technique used for the 1-D Discrete Wavelet Transform (DWT), pipelined and parallel structured 2-D DWT proposed in this study. In this study, we have proposed the multiplier less pipeline method for DWT. The advantage of this technique is that it does maximum utilization of the designed hardware. It does the J levels of decomposition when input image of size NxN given in an around 2N2 (1-4raise to-j)/3 of clock cycles. This method is called as Fast Architecture (FA). Using this technique throughput rate, output latency, etc are improved at the cost of some additional hardware. So, proposed architecture is better alternative for high speed applications. © Medwell Journals, 2016.
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.
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