Various algorithms have been proposed for the detection of onset of epilepsy. Here we have used the Rosenstein algorithm to calculate the Largest Lyapunov exponent of the given Electroencephalogram (EEG) signal. We have combined this algorithm with fuzzy-rule based system. A fuzzy interference system is employed to detect the normal and the onset of epilepsy.
Autonomous Vehicles based transportation system is the next generation transportation system in each and every country. All the developing and developed countries are very much interested in developing autonomous vehicle based transportation system to avoid the accidents. As per the statistics taken by the road transportation authorities in USA on an average of 60% of the accident are happening purely due to the mistakes of drivers. It is almost same in each and every country. Though strict rules and fines imposed still the problems are growing not reducing. The research on autonomous vehicles transportation system has been initiated almost 10 years back still the results are not found fruitful. As the concept of autonomous vehicles is the combination of both Software and Hardware. Though the Hardware Industry is growing day by day with many latest hardware components which includes IC's, Sensors, and IOT Devices etc.., to develop latest hard ware components. The possibility of manufacturing autonomous vehicles is improved a lot further, Countries like China, Singapore, USA already started running the trail autonomous transportation system along with driver assistance, but the biggest challenge faced by this autonomous vehicle transport system is with respect to software. Though the software industry growing day by day with many of the latest technologies like Artificial Intelligence, Machine Learning, Data Science, Big Data etc..,. But the biggest challenge with respect to autonomous vehicles lies in data communication between the vehicles and also identifying the natural disasters. The proposed research mainly concentrated on the cleaning of the collected data from the vehicles, so that the autonomous vehicles Can easily communicate with each other without any delay.
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