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

Sorting is a basic data processing technique that is used in all day-day applications. To cope up with technological advancement and extensive increase in data acquisition and storage, Sorting requires improvement to minimize time taken for processing, response time and space required for processing. Various sorting techniques have been proposed by researchers but the applicability of those techniques for large volume of data is not assured. The main focus of this work is to propose a new sorting technique titled Neutral Sort, to reduce the time taken for sorting and decrease the response time for a large volume of data. Neutral Sort is designed as an enhancement to Merge Sort. The advantages and disadvantages of existing techniques in terms of their performance, efficiency and throughput are discussed and the comparative study shows that Neutral sort drastically reduces time taken for sorting and hence reduces the response time. © 2020 IJSTR.

Computer Science

School of Computer Science and Engineering

Chennai Campus

World University root node

International Journal of Scientific and Technology Research

An efficient methodology to sort large volume of data

Histogram based forensic techniques to detect contrast enhancement, after an initial success, became unreliable due to the development of targeted anti-forensic attacks. These attacks eliminate statistical footprints left by enhancement on the histogram, making the image modifications undetectable. Further, these techniques in-spite of being successful in making histograms of the enhanced image appear more natural, they themselves introduce anomalies in the spatial domain. This paper presents a novel algorithm that, for the first time, exploits the statistical anomalies through the Laplace modeling of the derivative histogram to detect the anti-forensic contrast enhancement. Experimental results demonstrate that the proposed algorithm is effective in detecting contrast enhancements executed both by regular as well as anti-forensics techniques. © 2019, Springer Science+Business Media, LLC, part of Springer Nature.

Mobile Networks and Applications

Anti-Forensics Contrast Enhancement Detection (AFCED) Technique in Images Based on Laplace Derivative Histogram

Cloud load balancing is the process of distributing workloads across multiple computing resources in a cloud environment. Load distribution in cloud computing systems is more challenging than in other systems. The purpose of the paper is to address the issue of optimal task dispatching on multiple Virtual Machines (VM’s) with efficient power management. The prime goal is to address the load distribution in multiple VM’s and to propose an algorithm to maintain a minimized task response time and minimized power consumption using CloudSim cloud simulator. © IAEME Publication.

International Journal of Civil Engineering and Technology

A comparative analysis about load balancing algorithms using cloud simulator

The aim of the paper is to design an economical system that monitors the drowsiness of the driver. The system will use a camera to monitor the driver’s eyes. To achieve this, the system will capture video from a day – night sensitive camera and use image processing algorithms running on a Raspberry Pi board to detect any drowsiness in eyes. This system focuses on development in the most economical way so that it can be implemented in comparatively lower end vehicles too which form the larger crown on roads and prevent loss of human life through accidents of such types. © IAEME Publication.