Vellore Institute of Technology (VIT) is a private university located in&nbsp;Tamil Nadu, India. Founded in 1984, as Vellore Engineering College, the institution offers 20 undergraduate, 34 postgraduate, four integrated and four research programs. It has campuses in Vellore, Amravati, Bhopal and Chennai.

VIT is one of the top ranked private universities in India according to NIRF, THE and QS Rankings.&nbsp;Govt. of India has recognized&nbsp;VIT, Vellore as an&nbsp;Institution of Eminence. This has allowed VIT to take independent quality initiatives and move up in world ranking.

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VIT University

Department of Smart Computing

The paper mainly describes Photo OCR [1], automated system software for text- extraction from images or simple character recognition feature. The focus is mainly on reliable text-extraction from cellular phone imagery, for text recognition as input from user similar to speech recognition. Generally the commercial application of OCR does not perform well on this task. The Recent progresses on machine learning has shown improved character isolation classification therefore the paper deals on this progress by displaying complete OCR system software by different techniques by identifying text from uncontrolled conditions like blurred images or from non-readable text documents. We also incorporate various font identification schemes for reading and extracting text from each and every fonts by fixing the boundaries before training the dataset. The approach described is capable of identifying text from images in a variety of challenging imaging conditions where commercial available OCR systems fail, notably in the presence of lighter resolution, high image noise, low contrast and other distortions that take place in an image. The software works with latency that is low and has mean time for processing nearly 650 Ms per image. The software for the Photo-OCR is evaluated public benchmark data-sets for text extraction and performs for all results, taken place through survey. The Photo-OCR system can be used with many applications like Android from Google. © Research India Publications.

World University root node

School of Information Technology and Engineering

Vellore Campus

International Journal of Applied Engineering Research

A character extraction technique based on character geometry using image processing

Cloud computing model allows the customers to access the secured information from the cloud server without the help of using the hardware or the software. For the effective usage of the data from the cloud provider, the data owner encrypts the data and then its ends to the cloud server. To secure the data in the cloud we have dealt through lots of security issues earlier. In this paper we have proposed the idea how the data could be made more secured using visual cryptographic techniques. This model not only increases the trust among the users to send their information with full reliability and also helps in the authorization of the users. © 2015 IEEE.

Department of Software and Systems Engineering

International Confernce on Innovation Information in Computing Technologies

Securing cloud data using visual cryptography

The RC5 Algorithm is a symmetric block based, cipher which has been chosen because of its features such as simplicity of operation, implementation and its parameterizable nature. This work tries to realize the RC5 cipher on an ASIC chip and on a FPGA. The design is optimized to improve latency, throughput, area and power constraints using techniques such as loop wrapping, pipelining, parallel processing and resource sharing. A hardware implementation of the cipher has the advantage of improved speed of operation compared to a software implementation and it also improves its security. The FPGA Implementation has been done on the DE1 board while reports were taken using Xilinx ISE. The design was made reconfigurable to accept two values of rounds and keys. The ASIC Implementation was done using a fixed choice of parameters. The results achieved for area, throughput and power for an ASIC Implementation is presented. The proposed solution could be used for security in a range of applications such as wireless sensor network nodes, network devices such as routers, servers and in mobile devices. © 2006-2015 Asian Research Publishing Network (ARPN).

Department of Information Technology

ARPN Journal of Engineering and Applied Sciences

Reconfigurable resource sharing VLSI architecture for RC5 algorithm

Communication between heterogeneous networks became unavoidable. Clustering simplifies the communication. Cluster head is the leader of the cluster. If the cluster head fails or becomes unreachable an alternative efficient algorithm is required to recover from the failure. This proposes the algorithm which initiates the alternative cluster head selection in a heterogeneous environment. © Research India Publications.

Department of Digital Communications

Global Journal of Pure and Applied Mathematics

Self restorative cluster head selection in heterogeneous network

Detection of flame based on computational vision has visible attention in the past years. Many selective features such as shape, colour, texture, etc., have been used to detect flames. The drawback to detect flames with these features are that they uses Lucas-Kanade method which is an optical flow method and it adopt flow constancy same for the adjacent pixels. This will reduce the reliability to detect flames from the videos. In this paper point-wise approach is used in which the conditions are applied to every pixel instead of continuous regions. And also this paper is not uses thermal heat fire detection method as used in classical approach. In this paper we have used binarization algorithm which provides accuracy of detecting fire flames as it very useful for detecting suspicious regions of flames in video files and also helps to eliminate background nosiness from the videos. With the first section, moving pixel's region is calculated and differentiated from the rigid object region. Then features are extracted as frame separation, flicker colour detection, source matching, radius of fire object region, gradient area and stream of frames are then stack into a video file. Then with the output of feature extraction, the flames are recognized whether they are present or not. If the flames are detected then fire alarm is raised to take fast action on fire and similarly send the result to the server for security purpose. The proposed procedure can be used on a huge video record. This paper allows a well-ordered atmosphere to inspect frame rate and provide robustness. The major advantage of the proposed algorithm is that it works well with CCTV cameras and low resolution video files that can detect the flames located at the far distance and can be used for commercial purposes. © 2006-2015 Asian Research Publishing Network (ARPN).

Flame detection in videos using binarization

Defect prediction helps in analysing the flaws and errors in software. This field is widely under research in recent days because of the prevalence of errors due to carelessness in design and coding. Recent research on call graph model based software defect prediction shows the correlation between the call graph based metrics and bugs. In this research,call graph based ranking (CGBR) along with the size and complexity metrics is used to measure the quality of the software. This CGBR algorithm prioritizes the functional sub-systems which apply to the software defect prediction models. Size and Complexity metrics evaluate the quality of the software which measures the complexity of individual module. Finally, a comparison of three classifier algorithms is made and the best one is selected to predict the defective status of the software modules. © Research India Publications.

A comparative analysis of classifier algorithm in defect prediction using cgbr framework

Role based access control (RBAC) is the widely accepted and used access control model. However, mappings among the set of users, roles and permissions in RBAC is a major challenging task. This leads to errors in practical applications. Incorporating human decisions on mappings of RBAC could resolve this issue. But, in real time, human decisions are fuzzy in nature. So, fuzzy techniques can be incorporated into RBAC through fuzzy role based access control (FRBAC). Fuzzy formal concept analysis (FFCA) is a mathematical model for representation of uncertain information in the form of formal context. However to the best of our knowledge, there are no works on modelling fuzzy RBAC through fuzzy FCA. The objective of this paper is to propose the model of representing FRBAC in the form of FFCA. The initial results of our experiments show that the proposed model could implement the major features of RBAC.

Communications in Computer and Information Science Security in Computing and Communications

Modeling Fuzzy Role Based Access Control Using Fuzzy Formal Concept Analysis

VIT Unitversity

2014 IEEE 28th Convention of Electrical & Electronics Engineers in Israel (IEEEI)

Low complexity image compression of capsule endoscopy images

An analysis is performed to study the unsteady hydromagnetic heat and mass transfer of blood in a time-dependent porous narrow blood vessel over a permeable inclined stretching surface under slip conditions. The unsteadiness in the flow, temperature and concentration fields is caused by the time dependence of the stretching velocity, surface temperature and the surface concentration. Thermal radiation, chemical reaction, velocity slip, thermal slip and concentration slips are considered. Similarity transformations are used to convert the governing time-dependent non-linear boundary layer equations for momentum, heat equation and species equations into a system of ordinary differential equations. The resulting non-linear coupled differential equations are solved numerically by using fourth order Runge–Kutta scheme together with shooting method. The influence of pertinent parameters on velocity, temperature, concentration, skin-friction coefficient, Nusselt number and Sherwood number has been studied and numerical results are presented graphically and in tabular form. Comparisons with previously published work are performed and the results are found to be in excellent agreement.

Department of Mathematics

School of Advanced Sciences

Journal of Mechanics in Medicine and Biology

EFFECTS OF CHEMICAL REACTION AND THERMAL RADIATION ON MHD FLOW OVER AN INCLINED PERMEABLE STRETCHING SURFACE WITH NON-UNIFORM HEAT SOURCE/SINK: AN APPLICATION TO THE DYNAMICS OF BLOOD FLOW

This paper presents a relatively simple and low-cost approach to prepare Al2O3 coated with electrospun meta-aramid nanofibers. These Al2O3/meta-aramid composite nanofiber mats can be directly used as separating membrane in rechargeable lithium-ion batteries. The manufacture, characteristics, performance and modifications of these Al 2O3/meta-aramid composite nanofiber separators are introduced and discussed. In cell test, the capacity efficiency of Al 2O3 coated M-aramid nanofibers separator was much better than that of M-aramid nanofibers. The LiCoO2/graphite cells assembled with the Al2O3 ceramic coated M-aramid nanofibers separator exhibited reversibility up to 4.2 V with a 232 mA h/g discharge capacity. Among numerous battery separators, the thermal shutdown and ceramic based separators are of special importance in enhancing the safety of lithium-ion batteries. © 2014 Elsevier B.V.