Issues and Challenges in Social Networks for Recommender System in E-Learning: A Survey Abstract: With the rapid evolution of information and communication technologies (ICT), e-learning has become one of the major trends in web based learning. Nowadays, learners in an e-learning system are into virtual education environment in which they do not need others assistance in the process of learning. The role of social networks in […]
Human-Computer Interaction using Smartphones Abstract—We propose a system to make the Human-Computer Interaction more user friendly by using a Smartphone as a medium for interaction. This paper discusses how different Smartphone sensors can be used to interact with the computer from a finite distance. We also discuss the literature survey, design, advantages and disadvantages of the proposed system. Keywords—Human-Computer Interaction, accelerometer, gestures, speech recognition I. […]
Empowering Educational Institutes Using Data Warehouse. Abstract-The need to access data is a very common requirement now a days, be it a non-profit organization or full-fledged business organization. Decision makers have always needed data to make informed and accurate decisions. Data-driven decision support systems, such as data warehouses can serve the requirement of extraction of information from more than one subject area. Data warehouse can provide the […]
An Investigation on Mobility Influence on MAC Protocols of Wireless Sensor Networks Abstract— The collection of sensor nodes, which form a dynamic and arbitrary network by connecting on a wireless medium is called wireless sensor networks. This definition implicitly describes that links may appear or disappear at any time because of node mobility & other factors. The communication is completely dependent on the nodes (source […]
Development of Framework for Moving Object Detection and Tracking in Video Sequences Abstract: -Object detection and tracking is an important and challenging task required in many computer vision applications and is an active research area in computer vision. Object detection involves locating the object in a frame of a video and tracking involves locating the moving object over a period of time. The task of […]
Recent Developments and Reviews in Sentimental Analysis for Big Data Abstract- with the increasing need for understanding customer behavior and need for better buyer-seller relationships more than ever sentiment analysis has become one of the major tool in today’s time. The growing data and the need for faster computation efficient and more reliable processes of SA (sentiment analysis) are preferred and are in great demand.SA […]
An Optimized Framework for Precise Motif Discovery by Merging SBF with Pruning Method Abstract:-Motif mining became more popular and got more attention towards data mining field due to its real world applications such as health prediction, locating previous patterns in time series database. Motifs are the most correlated pair of subsequences in sequence objects. Motif discovery is hard on emerging applications which have long sequences […]
Comparing Nature Propelled Meta-Heuristic Mutation Testing Techniques Abstract— Mutation Testing is a white-box, unit testing technique widely used for the software quality assurance. This technique athough powerful, but is computationally expensive and this expense has barred mutation testing from becoming a popular software testing technique. However the recent engineering advancements have provided us with a number of ways for reducing the cost of mutation testing. […]