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

Insights from geohash coding algorithms introduce significant opportunities for various spatial applications. However, these algorithms require massive storage, complex bit manipulation, and extensive code modification when scaled to higher dimensions. In this article, we have developed a two-bit geohash coding algorithm that divides the search space into four equal partitions where each partition is assigned a two-bit label as 00, 01, 10, and 11, which helps to uniquely identify a chosen data point and the two neighbors on its either side, taken along a particular dimension. This salient feature of the algorithm simplifies the generation of geohash code for the neighboring grid cells. In addition, it achieves efficient memory utilization by storing the geohash values of the training points as integers. Demonstrated by experiments for climate data assimilation, model-to-observation space mapping with a geohash code length of 24 bits for Lat-Lon extent of India has shown favorable results with an accuracy of 85%. Performance and scalability evaluation of the proposed algorithm, optimized for multicore and many-core processors has shown significant speedups outperforming a tree-based approach. This algorithm provides a foundation for new spatial statistical methods that can be used for pattern discovery and detection in spatial big data. © 2020 John Wiley &amp; Sons Ltd

Department of Computer Applications

School of Information Technology and Engineering

Vellore Campus

World University root node

Department of Digital Communications

Concurrency Computation

High-performance implementation of a two-bit geohash coding technique for nearest neighbor search

VIT Unitversity

2018 Tenth International Conference on Advanced Computing (ICoAC)

Abnormality Detection in Human based on Hybrid Model - NB3 AkMGA

Kinetic Chemistry and Catalysis Chemistry courses were conducted. Aim of the project is to evaluate the effectivity of the model in improving student learning outcome in both courses which are included in the physical chemistry scheme. The courses are getting important attention in difficultness level since those are topics with the abstract and mathematically delivered. In the program students have some individual and group tasks based on research data-simulations to be finished until pass the such level for the completion standard learning outcome and for brief application of the topics in both lecturers visiting professor lectures were given. The teaching model was evaluated based on the difficultness level of each topic and also the percentage of student passing learning outcomes. The results showed that the model was sufficiently give positive impacts. In this project, a teaching-learning model of research data-based learning (RDBL) model for to the students and teaching learning process since more than 80 % were successfully passed the standard. The program was recommended for other courses.

Department of Mathematics

School of Advanced Sciences

Fulltext

International Journal of Engineering & Technology

Incorporating Research in Chemistry Courses: Research Data-Based Learning

Attempts to harness the big climate data that come from high-resolution model output and advanced sensors to provide more accurate and rapidly-updated weather prediction, call for innovations in the existing data assimilation systems. Matrix inversion is a key operation in a majority of data assimilation techniques. Hence, this article presents out-of-core CUDA implementation of an iterative method of matrix inversion. The results show significant speed up for even square matrices of size 1024 X 1024 and more, without sacrificing the accuracy of the results. In a similar test environment, the comparison of this approach with a direct method such as the Gauss-Jordan approach, modified to process large matrices that cannot be processed directly within a single kernel call shows that the former is twice as efficient as the latter. This acceleration is attributed to the division-free design and the embarrassingly parallel nature of every sub-task of the algorithm. The parallel algorithm has been designed to be highly scalable when implemented with multiple GPUs for handling large matrices.

International Journal of Grid and High Performance Computing

Embarrassingly Parallel GPU Based Matrix Inversion Algorithm for Big Climate Data Assimilation

A repeated attempt queue with multistages of service and almost J vacations is investigated. Balking (or reneging) is applicable for customers. If the orbit is empty at service accomplishment time, the server takes at most J vacations. Busy server may fail for a short interval of time. Using supplementary variable technique, the steady results are deduced. © 2018, Springer Nature Switzerland AG.

Trends in Mathematics

An Unreliable Optional Stage M X∕G∕1 Retrial Queue with Immediate Feedbacks and at most J Vacations

In this paper, we discuss about the steady state behaviour of M/G/1 retrial queueing system with two phases of services and immediate feedbacks under working vacation policy where the regular busy server is affected due to the arrival of negative customers. Upon arrival if the customer finds the server busy, breakdown or on working vacation it enters an orbit; otherwise the customer enters into the service area immediately. After service completion, the customer is allowed to make finite number of immediate feedback. The feedback service also consists of two phases. At the service completion epoch of a positive customer, if the orbit is empty the server goes for a working vacation. The server works at a lower service rate during working vacation (WV) period. Using the supplementary variable technique, we found out the steady state probability generating function for the system and in orbit. System performance measures and reliability measures are discussed. Finally, some numerical examples are presented to validate the analyticalresults. © Published under licence by IOP Publishing Ltd.

IOP Conference Series: Materials Science and Engineering

A study on M/G/1 retrial G - queue with two phases of service, immediate feedback and working vacations

Spam filtering is one of the most important applications in email services that has become increasingly sophisticated due to the enormous usage of Internet. Traditionally, spam filters have been implemented on the CPU with a pattern matching algorithm. In this paper, an accelerated spam filtering mechanism that uses GPUs is presented. The filtering process utilizes an enhanced version of Knuth Morris Pratt pattern matching algorithm that outperforms the serial versions up to 12x and also performs more efficiently compared to other parallel versions. The parallel algorithm is to develop and advanced keyword based Naïve Bayesian classifier speeds up the spam filtering up to 2 times compared to CPU. © 2017 IEEE.

2017 National Conference on Parallel Computing Technologies (PARCOMPTECH)

Accelerated spam filtering with enhanced KMP algorithm on GPU

We analyze a batch arrival retrial queue with two phase service subject to breakdown. After the completion of both the phases of service, the unsatisfied customer may rejoin the orbit as a feedback customer to get another service with probability ‘p’ or may leave the system forever with probability ‘1-p’. When the system is empty, the server goes for first essential vacation. After the completion of first essential vacation, the server may either wait idle for customers to arrive or may take one of the K-optional vacations. Steady state probability generating function for system size and system performance measures are obtained. Numerical illustrations are discussed to see the effect of system parameters. © Research India Publications.

Global Journal of Pure and Applied Mathematics

Analysis of an Mx/(G1, G2)/1 retrial queue with feedback, K-Optional vacation and server breakdowns

This paper analyses an M/G/1 retrial queueing system with second multi-optional services and immediate Bernoulli feedbacks, where the server is subject to starting failure and repair. An arriving customer, who finds the server busy, breakdown or on vacation enters an orbit; otherwise the arriving customer enters into service area. Upon completion of both phases of service in the first round if the customer desires to make a feedback, the customer immediately proceeds for a second round of service. The customer is allowed to make a finite number of such feedbacks before departing from the system. After the completion of both phases of service, if the orbit becomes empty, the server goes for a single vacation. We derive the probability generating functions of number of customers in the orbit for different server states. Important system performance measures are obtained. The effect of various parameters on the system performance are analysed numerically

International Journal of Mathematics in Operational Research

An M/G/1 retrial queueing system with two phases of service, immediate Bernoulli feedbacks, single vacation and starting failures

Research Journal of Applied Sciences, Engineering and Technology

Performance Analysis of an Embarrassingly Parallel Application in Atmospheric Modeling

Many choices are available to the practitioner of restorative dentistry for children. With the introduction of several new classes of restorative materials in recent years, some confusion has been created about what these materials are, making it difficult to identify their appropriate clinical use. This paper reviews glass-ionomer materials, resin-modified (reinforced) glass ionomers, compomers, and composite resins for the practitioner. Definitions of these materials, a general description of their contents, and usage-selection criteria are provided. Although more choices for tooth restoration can make the selection of the right material more difficult, a better understanding of the components and the strengths and weaknesses of each category of materials offers the opportunity to select the right material for the right situation.