Conference Papers

Permanent URI for this collectionhttps://idr.nitk.ac.in/handle/123456789/28506

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    Development of a relay test bench and an arbitrary waveform generator in RTAI-Linux platform
    (2013) Hazarika, P.P.; Shubhanga, K.N.
    This paper presents the development of a PC-based relay test bench and an arbitrary waveform generator using an open-source Real-Time Application Interface (RTAI) in Linux environment. Such a setup not only permits the generation of any arbitrary waveforms: steady-state signals as well as transients, but also simplifies the testing of various single-phase or three-phase static relays such as over-voltage relay, directional power relay, negative sequence relay as well as numerical impedance relays. The actuating signal is fed to the relay under test using a set-up that consists of a PCI card with a built-in Digital to Analog Converter and a feedback circuit for detecting the status of the relay. Using any off-line simulation package, sampled data points of a desired waveform are obtained in the form of a data-file. The RTAI-Linux program generates this waveform in real-time which is directly fed to the relay under test. The relay test bench presented in this paper is a cost-effective set-up for laboratories to test and understand the behavior and characteristics of relaying systems. © 2013 IEEE.
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    Development of low-cost real-time driver drowsiness detection system using eye centre tracking and dynamic thresholding
    (Springer Verlag service@springer.de, 2020) Khan, F.; Sharma, S.
    One in every five vehicle accidents on the road today is caused simply due to driver fatigue. Fatigue or otherwise drowsiness, significantly reduces the concentration and vigilance of the driver thereby increasing the risk of inherent human error leading to injuries and fatalities. Hence, our primary motive being - to reduce road accidents using a non-intrusive image processing based alert system. In this regard, we have built a system that detects driver drowsiness by real time tracking and monitoring the pattern of the driver’s eyes. The stand alone system consists of 3 interconnected components - a processor, a camera and an alarm. After initial facial detection, the eyes are located, extracted and continuously monitored to check whether they are open or closed on the basis of a pixel-by-pixel method. When the eyes are seen to be closed for a certain amount of time, drowsiness is said to be detected and an alarm is issued accordingly to alert the driver and hence, prevent a casualty. © Springer Nature Switzerland AG 2020.