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Drowsy-driver-related accidents has increased in recent years. Research and systems development aim to reduce traffic-accident-related injuries and fatalities. These potentially life-saving systems must operate in a timely manner with the highest precision. In the past two decades, researchers proposed method based on driving pattern changes, driver body position, and physiological signal processing...
The number of car accidents due to driver drowsiness is very steep. An automated non-contact system that can detect driver's drowsiness early could be lifesaving. Motivated by this dire need, we propose a novel method that can detect driver's drowsiness at an early stage by computing heart rate variation using advanced logistic regression based machine learning algorithm. Our developed technique has...
In this paper, we propose an in-node microprocessor-based vehicle classification approach to analyze and determine the types of vehicles passing over a 3-axis magnetometer sensor. Our approach for vehicle classification utilizes J48 classification algorithm implemented in Weka (a machine learning software suite). J48 is a Quinlan's C4.5 algorithm, an extension of decision tree machine learning based...
In an Aircraft Electric Power Distribution (EPD) system, the power is distributed from generators to loads, sensors and actuators through AC and DC distribution buses using control switches. Over the years, with the increase demands of loads and its power requirement, EPD system must be optimized in order to operate the system efficiently. In this paper, we propose a synthesis tool based on a need-based...
Designing a distributed wireless sensor network can be a difficult effort without using simulation tools. These tools should provide a robust and efficient solution for the problem with quick response time. However, available simulation tools for designing wireless sensor networks are very limited. Authors in [1] proposed an interactive design tool based on Dijkstra's algorithm which can assist rapid...
Connecting embedded sensors with cloud infrastructure could open enormous possibility for creating new services which eventually could have unprecedented impact in our way of living. To provide robust and reliable services, embedded sensor generally need to produce significant amount of data which could easily exceed storage capability of micro-servers. To address this problem, in this paper, we present...
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