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

In the recent past, the agriculture and farming industry has become the precision network connectivity of sensors with a new dimension of Internet of Things (IoT) technology. The cloud computing and wireless sensor network- (WSN) based extensive distance network in IoT can be applied to the agriculture and farming industry in a remote area. In this paper, we propose scalable wireless sensor network architecture for monitoring and control using IoT for agriculture and farming in a remote area. One of the significant managements in precision agriculture and farming (PAF) is water resource irrigation and proper utilization of water resources. Appropriate utilization of water irrigation management can be achieved by applying WSN technology using IoT. The efficient communication of various wireless sensors is processed using IoT in PAF to improve the productivity of farmers. We have analyzed the WSN structure based on throughput maximization, latency minimization, high signal-to-noise ratio (SNR), minimum mean square error, and improved coverage area. The experimental results have proved that the proposed methodology provides better performance than conventional IoT-based agriculture and farming. © 2020 John Wiley &amp; Sons, Ltd.

World University root node

Department of Smart Computing

School of Information Technology and Engineering

Vellore Campus

Department of Information Technology

Transactions on Emerging Telecommunications Technologies

Precision agriculture and farming using Internet of Things based on wireless sensor network

In social network worldwide there are a lot of people having twitter accounts. Every new and old user trying to create a new account in twitter for his own purposes like they can follow and tweet to the celebrity and the popular persons but some users giving the fake details in their profile like country, place, and locations. It may happen for fake data information and tweets, followers and unwanted messages can be posted on Twitter. Here using the geographical tracking location system with the help of longitude and latitude of geo-location mapping system. So users' can register an account with the current location only, if anyone trying to create the duplicate location that user information will be blocked and the details of latitude and longitude information can be sent to the admin with the current location of duplicate users'. It proposes to validate its effectiveness through the experiments. © BEIESP.

Department of Computer Applications

International Journal of Innovative Technology and Exploring Engineering

Real-time classification of twitter trends using support vector machine with location tracking

The main goal of this paper is to present an efficient method for secure 2D image visualisation and transmission through chaotic confusion and pixel diffusion methods. In recent years, the expeditious valuation of digital data exchange has become very important. The safety of any data exchange is imperative in the digital image data storage, retrieval process and communication procedure. The safety and security issues related to Internet banking and email systems necessitate text security in today’s digital media. In order to provide secure transmission and retrieval of image data, pixels in an image are scrambled and replaced within the image. The proposed system uses chaotic confusion and pixel diffusion techniques for securing input images. In the confusion method, the pixels within the image are substituted with other values and in the diffusion method, the pixels are re-substituted within the input image. The confusion method and the diffusion method use the selective technique for the generation of secret keys. Improve the quality of the proposed work is utilizing various image quality parameters and error metrics such as MSE, SNR, PSNR etc. The proposed system also utilises chaos maps for the encryption and decryption of the input image. © 2018 Universiti Putra Malaysia Press.

Pertanika Journal of Science and Technology

An efficient method for secure 2D image visualization and transmission through chaotic confusion and pixel diffusion

Cloud computing is one of the most emerging platforms in the IT industry. It provides shared computer processing resources and other devices on demand. Users can access their resources from anywhere in the world using smartphones. Smartphones users are increasing day by day in the reality. Users cannot use laptop or computers at all the time. However, they can use a smartphone everywhere. To run a simple program in system users needs different compilers for different programming languages. Smartphones do not have enough hardware resources like CPU, memory and much more It is a time-consuming activity to run a small program on smartphones. It also requires much memory to run a program. Some of the programs cannot run on the Android system due to its different architecture from other platforms. So users need a separate application which can execute a program implemented using different programming languages like C, C++, Java and other languages. © IAEME Publication.

Department of Software and Systems Engineering

Department of Information Security

School of Computer Science and Engineering

International Journal of Civil Engineering and Technology

Online compilers for android using mobile cloud computing

AbstractThe main idea behind this work is to present three-dimensional (3D) image visualization through two-dimensional (2D) images that comprise various images. 3D image visualization is one of the essential methods for excerpting data from given pieces. The main goal of this work is to figure out the outlines of the given 3D geometric primitives in each part, and then integrate these outlines or frames to reconstruct 3D geometric primitives. The proposed technique is very useful and can be applied to many kinds of images. The experimental results showed a very good determination of the reconstructing process of 2D images.

Fulltext

Journal of Intelligent Systems

An Efficient Technique for Three-Dimensional Image Visualization Through Two-Dimensional Images for Medical Data

3D visualization is the recent research need to be able to view the model from various angles so as to see data that is obscured by other data. While visualizing the data, view point selection is one of the major challenge which define the viewpoint information to select best viewpoints. This paper introduces teaching learning opacity based optimization (TLOO) and Kalman filter for selecting optimal viewpoint. The structural features of 3D volume dataset such as opacity and luminance is extracted for selecting optimal viewpoint position from that structural features. TLOO optimization algorithm identifies the voxels and standard information using view point evolution function. Then, kalman filter steers the optimization process with the help of cost function. The proposed flow of the technique is simple and very effective for selecting optimal viewpoints in 3D images. Computational complexity and the quality metrics are analyzed that provided maximum output efficiency.

VIT Unitversity

International Journal of Intelligent Engineering and Systems

Optimal View Point Selection in Direct Volume Rendering for 3D Visualization

The idea behind this paper is to focus the review on visualization techniques for medical data and its applications of information visualization and scientific visualization methods for any types of real-time data. Many works related to the field of computer graphics, and computer visualizations are presents. The paper deals, how to improve the quality in the images or objects, removing the noises from images, and graphically represent any graphical inputs. The main goal of our review work is to show few efficient rendering techniques for medical images and geometric primitives. Finally, this review work provides to further development of higher-dimensional data into the field of computer visualization techniques. © 2010 RJPBCS.

Research Journal of Pharmaceutical, Biological and Chemical Sciences

Review on visualization techniques for medical data and its application

In today’s world internet application relatively in all areas reached the maximum extent,amidst categories all are not significant,mostly be casual information gathering,chatting,geological searching may be discarded even results unsatisfactory,but certain aspects mandatory to process until the expected result arise. For example any online reservation,medical relevance pharmaceutical and hospital appointments,consultancies similar. This scenario we consider for our work to provide assistance for existing aspects and assuring resultant convenience for user,as research refining the prior obtained unsatisfactory result by semantically intelligence inference towards database or web applications .So that satisfying database principal implicitly. This paper provides analysis,approach,prototype,empirical test of significance for collectively data sets for the stated problem. © 2016,International Journal of Pharmacy and Technology. All rights reserved.

Department of Digital Communications

International Journal of Pharmacy and Technology

Intelligence inference user satisfactory refinemment for E-applications

Objectives: A weakness in software development is providing security against piracy. The objective of the paper is to provide the security using the k-DRM which will reduce the rate of piracy. Methods: Advanced Rights Management (DRM) frameworks attempt to ensure copyrights and computerized substance by restricting get to by clients to substance, this paper proposes a framework for administration of advanced rights. It backs the implementation of an extensive variety of confinements on getting to secured records and progressed advanced right administration framework to ensure proprietorships. The target application is an application which the DRM structure supports to be able to get to access with the predefined controls from its holder. Findings: Current DRM structures debilitation clients by persuading them to interface with online permit/content servers to get to secured substance and impairment programming makers to change their virtual things use and record sort structures. Tragically, the current DRM structures have different deficiencies that antagonistically affect holder and client rights like permit/substance server reliance, information structures reliance, information yield bolster, and ensuring information having a place in the life cycle. This paper familiarizes another structure with pacify these deficiencies, by utilizing fitting programming understanding, low level framework programming, information security, and encryption reckonings. The Assessments of the proposed framework is showed that, dissimilar to current DRM architectures and executions, DRM fulfills holder rights and additionally client rights by permit server independency, information yield approval, information lifecycle insurance, machine reliance, virtual machine location, capacity to apply DRM without changes in target programming codes and information structures. Application: The framework fulfills manager rights and besides client rights by permit server independency, information yield respect, information lifecycle affirmation, machine reliance, virtual machine territory, capacity to apply DRM without changes in target programming codes and information structure.

Department of Database Systems

Indian Journal of Science and Technology

Query based k-DRM for Software Security

In this paper, we present an efficient visualization framework for the construction of streamlines, streamribbons and streamtubes on unstructured grids that combines the advantages of clustering methods and illuminating rendering techniques to generate a concise and informative depiction of complex flow structures. Given a 3D vector field, we first generate a number of streamlines covering the important regions based on an entropy measurement. A specialized version of the Runge-Kutta method has been developed to speed up the integration of flow data. Then we decompose the streamlines into different groups based on a categorization of vector field data, wherein the streamline pattern in each group is ensured to be coherent or nearly coherent. We have also derived for each group, we select a set of representative streamlines and render them in an illustrative manner to enhance depth cues and succinctly show local flow characteristics to construct streamribbons and streamtubes, respectively. The results demonstrate that our approach can generate a visualization that is relatively free of visual clutter while facilitating perception of salient information of complex 3D vector fields and effectively illustrate both directional and structural information of 3D vector fields. © 2006-2014 Asian Research Publishing Network (ARPN).

ARPN Journal of Engineering and Applied Sciences

An illustrative visualization framework for 3D vector fields using streamtubes and streamribbons

Today's networks are essential to our modern world, and a thorough understanding of how they act is vital to their efficient operation. Fortunately, data on networks is plentiful; by visualizing this network data, it is possible to greatly improve our understanding and also should provide the security for network data. The motivation of this paper is on visualizing the network data associated with a network image or object that will be send in the format of image at the sender and at the receiver ends that image or object will be encrypted in the form of rich text format that will be decrypted form at the receiver end. The technique sending data in image format will provide a greatest security for World Wide Web data transmission on network. We can also visualize that what data is behind on image and rendering of the image. Finally, this proposal is trying to encrypt and decrypt image visualization using computer visualization techniques. © 2006-2014 Asian Research Publishing Network (ARPN).

Encrypting and decrypting image using computer visualization techniques

A new technique for interactive vector field visualization using large numbers of properly illuminated stream lines is presented. Taking into account ambient, diffuse, and specular reflection terms as well as transparency, we employ a realistic shading model which significantly increases quality and realism of the resulting images. While many graphics workstation offer hardware support for illuminating surface. Primitives, usually no means for an accurate shading of line primitives are provided. However, we show that proper illumination of lines can be implemented by exploiting the texture mapping capabilities of modern graphics hardware. In this way high rendering performance with interactive frame rates can be achieved. We apply the technique to render large numbers of integral curves in a vector field. The impression of the resulting images can be further improved by making the curves partially transparent. We also describe methods for controlling the distribution of stream lines in space. These methods enable us to use illuminated stream lines within an interactive visualization environment. © 2006-2014 Asian Research Publishing Network (ARPN).