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 Software and Systems Engineering

In this paper, the idea of semi-circular angle-based circle generation algorithm on a hexagonal grid is proposed. It makes use of the advantages of hexagonal sampling that scan-convert the pixel on the raster with less scan-conversion error. The performance of the proposed algorithm is compared to that of the conventional circle generation algorithm on a hexagonal grid. The qualitative and quantitative analysis shows that the proposed algorithm outperforms the existing circle drawing algorithm on a hexagonal grid in terms of less computation cost. © 2016 Inderscience Enterprises Ltd.

School of Information Technology and Engineering

Vellore Campus

Department of Information Technology

International Journal of Computer Aided Engineering and Technology

Semi-circular angle-based one bit circle generation algorithm on a hexagonal grid

Our research work elaborated in the design and construction of a method that bring sustenance for a reduction in false assumptions during the detection of breast cancer. Our key drive of this research work was to elude the false assumptions in the detection practice in a cost effective manner. We proposed a unique method to decrease false assumption in breast cancer detection cases and split this method in three different modules as preprocessing, formation of homogeneous blocks and color quantization. The preprocessing convoluted in eradicating the extraneous slices. The formation homogeneous blocks sub-method was to do segmentation of the image. The task of the third sub-method (i.e. color quantization) was to break the colors amid different regions. © Springer India 2016.

VIT Unitversity

Department of Computational Intelligence

School of Computer Science and Engineering

Advances in Intelligent Systems and Computing Computational Intelligence in Data Mining—Volume 2

Decrease in False Assumption for Detection Using Digital Mammography

Recent developments in information network and rapid growth of technologies support the storage and managing huge amount of data by various organizations. The analysis of these data is becoming more and more challenging task as they are expanding quickly with the rapid generation of data from various information networks such as social network, marketing network, sensor and Telecommunication network. Graph Clustering is a challenging research problem that has gained its importance in the field of clustering due to its significant use in various and wide range of domains. The survey gives a clear and concise picture various challenges in developing a graph clustering algorithm and provides an insight for future research directions. © 2016, International Journal of Pharmacy and Technology. All rights reserved.

International Journal of Pharmacy and Technology

A survey on challenges in graph clustering for information and social networks

Presentation slides have been a popular and effective means to present and transfer information, especially in academic conferences. There are many software such as Microsoft Power-Point and Open-Office to help researchers prepare their slides. However, these tools only help them in the formatting of the slides, but not in the content. It still takes presenter much time to write the slides from scratch. In this work, we propose a method of automatically generating presentation slides for academic papers using some major datamining techniques with the help of WordNet and Lexical Analysers for Extraction and Summarization. Thus, we aim to automatically generate well-structured slides and provide such draft slides as a basis to reduce the presenter’s time and effort when preparing their final presentation slides. © 2016, International Journal of Pharmacy and Technology. All rights reserved.

World University root node

Automated summarization of academic papers and generation of presentation slides

State-of-the-art smart phones and mobile devices, today’s highly interconnected urban population is increasingly dependent on these applications to organize and plan their daily lives. These applications often rely on current locations of individual users or a group of users to provide the desired service. The aim of this concept is to locate the volunteers in a peer group who were involved in disaster relief process and schedule meeting accordingly that coordinators of the process can effectively allocate the volunteers in order to serve the overall relief process efficiently. The location of the individuals are tracked using GPS in smart phones and it gets updated in the Server. Based on the location of the volunteers, common place is identified using the Google maps and the distance is calculated using Google API to get a centralized place were the meeting can be carried out in order to distribute the relief funds and allocate volunteers effectively to serve the nearest affected zones. The meeting details would be intimated to the group through this application, so by this way it is advantageous in order to reduce time. © 2016, International Journal of Pharmacy and Technology. All rights reserved.

Optimizing the location deployment for emergency meeting scheduling in disaster relief management

Record de duplication aims at identifying the objects which are potentially replicated in a data repository. Though the concept exists it still continues to receive a significant amount of attention from the database community and researchers due to the intrinsic difficulty in producing a redundant free repository,especially in the context of large datasets. In the case of large scale de duplication,the blocking and classification phases typically rely on the user to configure or tune the process. For instance,the classification phase usually requires a manually tagged set of data. However,selecting and labelling for a defined set is a very costly task which is often restricted to expert users. Some active approaches have been proposed to address this problem by selecting the information associated pairs. © 2016,International Journal of Pharmacy and Technology. All rights reserved.

Analyzing a selection strategy for data de-duplication in large datasets

The application of Internet of Things (IoT) in the mobile healthcare system had been predicted before the dawn of World Wide Web that gives the boost to IoT science in normal humanity at today’s world. From this interconnected technology,the expectation is very high which delivers vast benefits in normal day to day life [1]. These interrelated systems help much in mHealth care technology and are reliable. It also results in reduction of financial requirements and time,which are the most considerable needs of patients. In this paper,mHealth is implemented as a small live healthcare system by using different bio medical sensors. These sensors send every health related record in numerical and waveforms to the caretaker and also to the hospital server. This technology could fulfil the requirements of the independent patient who are staying alone,especially for old age people. If something happens wrong or crosses the threshold value of the patient after normal function,an emergency service will be alerted by the IoT healthcare service provider. The service provider maintains all the health records of the patient in the hospital/caretaker server. As the real time technology is more related to healthcare system,security is the most important parameter mainly in interconnected and interrelated systems of different technologies. Fingerprint scanning could resolve illegal access and authentication issues in mHealth services,also helps the people in corporate world and military services who are away from home. © 2016,International Journal of Pharmacy and Technology. All rights reserved.

Internet of things in mobile health care (IoT-m health)

Cloud is future of information technology and rapid Growth of Cloud Computing in recent years has raised many security concerns one of which is the security of data in the cloud. As cloud computing works on internet challenge of secure data transfer comes with it, and the thus question of how to build cloud computing environment secure is one of the hot research subjects. In this paper, we outline the Data Security Challenge and introduce an ASCII based Cryptography algorithm for secure transmission of data between client and cloud. © 2016, International Journal of Pharmacy and Technology. All rights reserved.

Novel cryptography algorithm for security in cloud computing

The Map Reduce Framework in Hadoop has become an important distributed processing model for large-scale dataintensive applications. Hadoop is widely used for the projects requiring low response time. Computing nodes in the Hadoop (clusters) seems to be homogeneous throughout nature. As transferring a large amount of data leads to excessive network congestions, which in turn can deteriorate system performance. Without considering the network delays-the performance of Hadoop clusters could be significantly downgraded. This paper proposes new strategies in context to the data locality issues in the heterogeneous environments. We will also deal with the problem of placing unstructured data across nodes in such a way that each node has a balanced data processing load. A shuffle-intensive application running on a Hadoop Map Reduce cluster, our data placement scheme adaptively balances the amount of data stored in each node to achieve improved data-processing performance. After that, it would be experimental results on two real shuffleintensive applications show that our results placement and shuffle strategy can always improve the Map Reduce performance by rebalancing data across the nodes before performing a shuffle-intensive application in a different Hadoop cluster. © 2016, International Journal of Pharmacy and Technology. All rights reserved.

An approach to implement hadoop cluster for heterogeneous nodes

Management of database includes software data management developing tools such as oldsql and now trending nosql and next generation data language newsql. As the database had been revolutionised from 40 years starting from oldSql to nosql and now to the upcoming newsql,oldsql includes features like relational model to handle data entry app and dimensional model to access data warehouse apps but it does not have features like object model,document model and graph model which is advantage of nosql whose examples are db2,hadoop,mongodb etc. The sql only use to deal with transaction problem,and cannot deal for big velocity applications does not have capacity of storing bulk data and update today’s requirement of data,sql is accepted as the only standard rdbms language. We are in the middle of a database revolution that is “nosql” notable as “nosequel”. It is open source distributed in nature as well as it is having high performance in a linear way that is horizontally scalable,fast,information retrieval database and is portable. But it can’t solve large transaction problem. So to overcome the problem of both oldsql and nosql new sql is coming up with solution combination of both. We also investigate that which database is suitable for what job??,choosing the right sql database is important according to users need to notice that the architecture of real world systems is not only driven by performance requirements,but has to completly include many other standard trademark requirements for selecting proper database. Such as national intelligence,cyber security,education system,marketing,business and medical informatics. Companies such as Google,Amazonetc are analyzing large volumes of data for business analysis and decisions,impacting existing and future technology all of them have different requirements,so through this paper we would conclude which query language would be better for individual need. © 2016,International Journal of Pharmacy and Technology. All rights reserved.