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 Database Systems

Dense distributed heterogeneous wireless sensor nodes (WSN) intend to communicate and realize of wide pervasive environment using contexts involved in and around. Pervasiveness needs the exchanged data to be regularly available. Making instant available of priority based among data centric is miserable task in pervasive environment. To gather large volume of accurate data,we develop a mechanism for congestion free and absolutely available link for smart devices communication at low cost. Proposing rich context architecture to assist the communication of cooperative tiny nodes and processed data as information with computational node using autonomous coordination. Every region is assigned with gathered heterogeneous sensor nodes which controls and detects contexts/events occurrence for generating raw data. All these information are extended to the external world through widgets and applications,normally a smart device. Using user,physical and environmental contexts,an event occurrence is confirmed for further decision making for large scale exploration where continuous human access is not necessary. © 2016,International Journal of Pharmacy and Technology. All rights reserved.

School of Computer Science and Engineering

Vellore Campus

Computer Science

Chennai Campus

International Journal of Pharmacy and Technology

Context centered response for enabling pervasive environment using data centric WSNs

In Information Technology satisfying customer needs is still remains a milestone because of their increasing demands. When taking the comparison strategy Industry is not only altered in the way of providing solutions, also handling of techniques and resource adaptability is taken into a new level. All the business activities are moving towards Integrated Approach, so the techniques involved should also support integrated platforms this to be followed by both existing techniques as well as newly evolved techniques. In this paper a very important existing technique Hadoop as an experimental platform configuring it by a newly born tool named as Ambari, to enable integrated approach on Hadoop clusters without disturbing its applications. To do this common platform which supports Hadoop, Ambari as well as its entire component modules, for this we chosen Horton Sandbox it is very helpful to integrate Hadoop with other relevant technologies and sandbox is readymade composite software platform were makes all the modules are installed priory, which allows our work very easier. In this experimental Hadoop and its clusters on different nodes are configured and controlled by Ambari which runs on Single machine. Our results clearly showing ambari acts as a central management system to monitor Hadoop clusters bring plenty of benefits to the Hadoop Users. © International Science Press.

Department of Software Systems

World University root node

International Journal of Control Theory and Applications

An integrated approach for configuring Hadoop clusters by Ambari on Horton Sandbox

Cloud computing is a very powerful concept that can be used to enhance the next generation data center and allow service provider to use data center capability provided by cloud and develop the application based on user requirement. This work aims to develop an android based web application namely Cloud based Virtual Reporting Application (VRA) wherein the database is stored on the cloud which resembles large storage facility. VRA is basically an android application which can be used by managers of the organization to monitor their employees. It is one kind of employee monitoring application where the manager can monitor the location of the employee and keep track of the his location whether the employee has done the allocated work or not. The app makes use of GPS technology available in the mobile phone to monitor the location. In addition to this, OPENCV library is used for face recognition to verify the authentication of the employee. © 2016 SERSC.

Department of Commerce

School of Social Sciences & Languages

VIT Unitversity

International Journal of Software Engineering and Its Applications

Cloud Based Virtual Reporting Application

The annual cycle of Indian monsoon rainfall plays a critical role in the agricultural as well as the industrial sector. Thus, it is necessary to evaluate the behaviour of the monsoon annual cycle in a warming climate. There are several studies on the variability and uncertainty of the Indian monsoon. This study, examines the impact of climate change on the annual cycle of monsoon rainfall in India from 1871-2100 by applying 20 model simulations designed by theWorld Climate Research Programme (WCRP) coupled with the model inter-comparison Project 5 (CMIP5). It is found that the models MPI-ESM-LR, INM-CM4 and MRI-CGCM3 best capture the spatial patterns of the monsoon rainfall peak month (MRPM) of the winter monsoon compared to observations, whereas HadGEM2-AO and MIROC-ESM-CHEM best capture the MRPM of the summer monsoon. The MIROC, MIROC-ESM and MIROC-ESM-CHEM models best capture the average rainfall intensity as well as the MRPM of all-India rainfall. This paper examines the future spatial distribution of the MRPM for meteorological sub-divisions of India, that can have crucial implications for water resources and management. Although the future projections as per the CMIP5 models indicate no changes in the MRPM of the all-India rainfall, a reduction in average intensity can be expected. The projections indicate a shift in the MRPM in some meteorological sub-divisions, particularly with regard to the summer monsoon but no significant change has been projected for the winter monsoon. For example, the summer monsoon MRPM is projected to move from July to August in northern and central India.

Fulltext

Climate

CMIP5 projected changes in the annual cycle of Indian monsoon rainfall

Ontology provides an organizational framework of concepts and a system that depicts hierarchical and associative relationships pertaining to an application domain. The possibility of reuse and data sharing permitted by ontology, along with the formal structure coupled with hierarchies of concepts and their inter-relationships offer the opportunity to draw complex inferences and reasoning. This rationale was the motivation to construct an ontology for Psoriasis Risk Assessment and Remedy (PRAR). This paper targets two issues: (i) Need for a medical database to derive Ontology (ii) Methodology for design of Semi-Automated Ontology Construction framework (SOCF) from pioneered data. Psoriasis is one of the most recurrent skin issues in India and the world at large and hence this paper targeted the need to generate a Psoriasis Remedy Database and automatically infer the relations between the Symptoms, Causes and Treatment through Semi-Automated Ontology Reasoning and Inference. The proposed system incorporated two phases: Formulation of a novel database for Psoriasis Risk Assessment Remedy (PRAR) (ii) Articulation of a novel framework for Psoriasis detection through computational modeling and Ontology Construction. The proposed methodology was tested on 112 samples from the authenticated UCI Machine Learning Repository. The ontology developed using the proposed SOCF mapped the risk factors and remedies for Psoriasis detection with 98.7% accuracy, this being reported for the first time. © 2017, All Rights Reserved.

Studies in Informatics and Control

A novel semi-automated ontology construction framework (SOCF) for psoriasis detection: Pioneering the psoriasis risk assessment remedy (PRAR) database

The purpose of the present paper is to investigate some characterization for generalized Bessel functions of first kind to be in the new subclasses G(λ, α) and K(λ, α) of analytic functions. © 2016 Eudoxus Press, LLC. All rights reserved.

Department of Mathematics

School of Advanced Sciences

Journal of Computational Analysis and Applications

Inclusion properties for certain subclasses of analytic functions associated with bessel functions

Background/Objectives: As all documents related to medical domain do not come with author written summary, the objective is to introduce a summarizer that exploits medical domain-specific knowledge. Methods/Statistical Analysis: Sentence ranking technique has been used to produce high quality summary. The features such as sentence position, length, cue-words (domain-related terms) and acronyms are extracted to assign sentence score. Sentences are ranked and arranged in the decreasing order of their normalized score. The existing summarization approaches in the literature use few or more sentence features but we have opted for few best sentence features. Pre-existing summarizers are used for performance evaluation. Findings: The few best features to be considered in developing medical domain-specific summarizers are sentence position, sentence length, number of cue-words and number of acronyms. Summary produced by any summarizer can be highly informative if and only if it contains dissimilar sentences. Therefore, similarity between sentences is an important feature to be considered for creating highly informative summary. The proposed summarizer is compared with the preexisting summarizers. The evaluation is done by using traditional metrics such as precision and recall and ROUGE. Not all medical documents come with an author written abstract or summary. So, medical documents with author written abstracts are used to test the performance. Results reveals that the proposed summarizer performs better when compared with existing summarizers and attained ROUGE scores also reveals the same with respect to quality of summary produced. Thus, proposed summarizer provide highly acceptable summary to user. Application/Improvements: Summarization is one of the information retrieval tasks. It helps to determine whether the retrieved document is relevant for in-depth study or not.

Indian Journal of Science and Technology

An Efficient Medical Document Summarization using Sentence Feature Extraction and Ranking

2015 IEEE International Conference on Research in Computational Intelligence and Communication Networks (ICRCICN)

A modified brainstorm optimization for clustering using hard c-means

In our present study, the inhibitory effect of brazilein from Caesalpinia sappan on tyrosinase activity was investigated through multi-spectroscopic and molecular docking techniques. The result has shown that brazilein reversibly inhibited tyrosinase in a mixed type manner. The interaction of brazilein with the amino acid residues of tyrosinase has been validated through fluorescence quenching studies. Copper interaction studies suggested that brazilein could bind with copper ions of the enzyme. Circular dichroism analysis confirmed that brazilein induced secondary structural changes in tyrosinase. Docking studies further authenticate that brazilein forms hydrophobic and hydrogen bonding with the active site residues of tyrosinase. Moreover, in vitro studies confirmed that the inhibitory mechanism of cellular tyrosinase and melanin synthesis by brazilein in B16F0 melanoma cells. These results suggested that brazilein act as a potential tyrosinase inhibitor and it would contribute as a of novel tyrosinase inhibitor in food, cosmetic and pharmaceutical industry.

Department of Integrative Biology

School of Bio Sciences and Technology

Department of Biotechnology

International Journal of Biological Macromolecules

Inhibitory effect of brazilein on tyrosinase and melanin synthesis: Kinetics and in silico approach

Molecular and Cellular Biochemistry

Computational investigation of molecular mechanism and neuropathological implications in Huntington disease