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

The expanding of information and data in this period builds the age of information science instruments. The majority of the business needs a suggestion framework which have been utilized by a great many clients. Step by step, the measure of clients, items and data has developed quickly, yielding the enormous information investigation issue for benefit recommender frameworks. Thus, general recommender frameworks regularly have a few detriments like versatility and productivity when handling or investigation of this information on a substantial scale. To keep away from these, another suggestions framework utilizing Hadoop condition is actualized in Apache Hadoop utilizing MapReduce worldview for Bigdata. Apache Hadoop is an open structure for distributed preparing frameworks can process substantial volumes of information. It can be utilized for disconnected handling and can be reasonable for extensive databases. Import information onto the cutting-edge databases like HBase and upgrade its execution. Proposed Framework have awesome change in execution contrasted with general devices. In this paper, we have a tendency to propose a totally one of a kind suggestion strategy which incorporates information on regular writer relations between articles (i.e., 2 articles with steady author(s)). © IAEME Publication.

Department of Information Technology

School of Information Technology and Engineering

Vellore Campus

School of Computer Science and Engineering

Department of General Management

VIT Business School

Department of Software and Systems Engineering

International Journal of Mechanical Engineering and Technology

A case study on coactive subject modelling for acclaiming technical articles

Sign language is the most communal language used by the deaf people among themselves for any kind of communication. People who are not familiar with Sign Language face difficulty in interacting with the deaf people. Hence, an effective system should be established to attain and discriminate the sign language. In our proposed system, we developed a framework for extracting and recognizing the sign gesture language and which is classified into four stages like noise removal using median filter, Segmentation using Modified Region Growing Algorithm (MRGA), feature extraction and recognition using Adaptive Genetic Fuzzy Classifier (AGFC). We have used Genetic algorithm with Fuzzy classifier to find out the optimal rules generated by Fuzzy classifier.

VIT Unitversity

International Journal of Intelligent Engineering and Systems

Sign Gesture Recognition Using Modified Region Growing Algorithm and Adaptive Genetic Fuzzy Classifier

Gesture based communication is the standard language utilized by the hard of hearing individuals for correspondence purpose. Despite the way that they precisely chat with each other by a method in sign language, they confront obscurity when they attempt to speak with individuals who can see sound, basically with the individuals who can’t understand sign language. Consequently, an effective method to be produced to gain and recognize the sign motion language. In our proposed work we have planned a casing work for examining and distinguishing the sign motion language. The proposed technique is handled through various modules like Noise removal using adaptive filter, segmentation using region growing algorithm and feature extraction by using an improved genetic algorithm. Finally, the proposed technique will be assessed by contrasting with the support vector machine classifier. © 2016 The Author(s).

Fulltext

Cogent Engineering

A framework for sign gesture recognition using improved genetic algorithm and adaptive filter

The objective of this paper is to provide an outline on the subject of Human Gesture Recognition. It primarily contains the elementary explanations and vocabulary, a study on the technologies and tools used in the existing and current systems of the field, architectures used in the ground of Gesture Recognition and finally the applications of Gesture Recognition and number of references for each of the concepts used. © 2016, International Journal of Pharmacy and Technology. All rights reserved.

World University root node

International Journal of Pharmacy and Technology

An overview on human gesture recognition

Software testing is usually measured by executing the 'n' number of test cases and those test cases has to be designed using the familiar test case design techniques. The aim of Test case design technique is to ensure the detection of typical bugs, systematic coverage and redundant testing. Executing and checking the test cases is not possible all the time in the manual testing. Therefore selecting a test case and ranking is important. The objective of the test case selection is to have a better test case from a pool of test cases and assigning the rank to each test case will leads the software asan error free and which gives a good efficiency. Ranking of test cases is especially useful if a system is a having large number of test cases. Hence selecting and ranking a test case plays an important role in the software testing. In this paper, importance of selection and ranking test cases are analysed and its methods are discussed. © 2006-2016 Asian Research Publishing Network (ARPN).

Department of Smart Computing

ARPN Journal of Engineering and Applied Sciences

A comparative study on selecting and ranking the test cases in software testing

Image segmentation plays a vital role in various areas of the computer industry. It is having a unique notion in the image processing and morphing techniques. This paper gives an overview and comparison on the methods used in the image segmentation along with its applications. It also provides the usage of methods and the role of image segmentation in the research fields of computer vision. © 2016, International Journal of Pharmacy and Technology. All rights reserved.

A comparative study on image segmentation techniques

Data mining is being used throughout the world by many industries .To face the marketing competition,the marketing industry need to analyse the shopping basket of the customers to get their preferences,habits and their relationships. For this most of the industries use Apriori Algorithm,which was proposedby Agrawal,in 1993.Problem with Apriori is that all the items in the item set have same importance,but in real life it is better to have recommendations according to the relevant season,project and time. The solution was to divide the items or projects into categories and weights are given according to the no of items sold for each category. Then calculate the weighted support and confidence. © 2016,International Journal of Pharmacy and Technology. All rights reserved.

Dynamically improved weighted apriori algorithm in market analysis

Bio-data analysis deals with the most vital discovering problem of similarity search and finding relationship among bio sequences and structures. In this paper, we are trading the problem of discovering the most recurrently occurring patterns in a given DNA or protein sequence. Several on hand tools need the user to spell out gap constraints in advance in turn to find specific patterns. Practically it is not possible for the user to provide the gap constraints. So the need arises of budding an algorithm to obtain the patterns easily on its own without the need of user intervention in the form of mentioning of gap constraints. We have got two analytical methods to find out the recurrent subsequences and guesstimate the maximum support for data with complexity O(|T|.Sup) where |T| stands for text sequence length and Sup represents the number of occurrences of the pattern. We are proposing an altered version of the previously proposed algorithm with complexity O(|T|). © 2016, International Journal of Pharmacy and Technology. All rights reserved.

An enhanced algorithm for frequent pattern mining from biological sequences

To develop and deliver software to the customer, validating its quality is highly important. Software testing can be performed manually or using automation tools to identify defects, assess the quality of the product and gain confidence in the software being developed. Automation tools helps in design and execution of test scripts saving time and cost involved in manual testing. This paper mainly focuses on the automation testing tools currently available to support design and execution activity, challenges faced by manual tester in executing automation scripts, approaches in executing of automation scripts using TestNG and its disadvantages and then overview of the proposed web application which overcomes the problems faced by manual testers, reduce the time spent on initial set-up activity to carryout test scripts execution and overcome disadvantages of execution using TestNG. © 2006-2015 Asian Research Publishing Network (ARPN).

Design of automation scripts execution application for selenium webdriver and testng framework

Cloud computing is rapidly gaining popularity. However, like any new system, cloud computing is facing some significant challenges. The most significant challenge faced by cloud adopters is related to legal compliance, security controls, privacy and trust. This paper proposes a novel security management framework by employing data mining to detect, contain and prevent attacks on cloud computing systems. Given that the security frameworks and related controls on cloud computing are still evolving, this research may prove to be a useful piece of contribution in enhancing the theoretical foundation established by existing studies. © 2005 - 2014 JATIT &amp; LLS. All rights reserved.