S. Koteeswaran ¹, P. Visu ¹, E. Kannan ¹

Affiliations
1 Department of CSE, Vel Tech University, Chennai-62. TamilNadu, India, IN

Abstract

Hadoop is an advanced framework with separated File storage system to organize these data’s in distributed environment.Hadoop is a form of cluster with which is subjected to wide range of visualized data. Job sequence is one of the most peculiar sequences often handled by the scheduler in order to split and merge the job and its probable environment in organizing and utilizing the data. Once the scheduler assigns the job to its sequence and then it is visualized in terms of tracking, reordering and distributing those data in any distributed environment. Here the major focus of the research is concentrated on enormous amount of data to distinguish its pattern and way of organizing those data’s. The major scope is switched in the context of analyzing the data distribution using next generation yarn structure of HADOOP. The experimental results show that the problem addressed here has a vast advantage over the existing visualization techniques.

Keywords

Data Visualisation, Hadoop, Job Sequence, Scheduler, Yarn, Big Data.

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P. Visu ¹, K. A. Varunkumar ¹, R. Srinivasan ¹, R. Vinoth Kumar ²

Affiliations
1 Department of CSE, Vel Tech University, Avadi, Chennai - 600062, Tamil Nadu, IN
2 Department of IT, Vel Tech University, Avadi, Chennai - 600062, Tamil Nadu, IN

Abstract

Background/Objectives: Brainwave based accident avoidance system for drowsy drivers. Methods/Statistical Analysis: Accident avoidance system is an effective way to prevent accident caused due to drowsy driving. Every year, approximately 100,000 crashes are caused by drowsy driving. These kind of crashes are most common in highways during long journeys, youth, adults with children and shift workers. Till now, there is no test to determine sleepiness. Findings: The proposed idea brain wave accident avoidance system is to avoid this kind of accident using Electroencephalography (EEG) of human brain and Cruise control in automobiles. Whenever the driver tends to drowse, obviously his brain signals will change which will trigger a set of routine on cruise control to control the automobile to avoid accidents effectively. Application/Improvements: Brain computer interface.

Keywords

Automobile, Brain Wave, Cruise Control, Electrical Signals, Electroencephalography

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