WorldCat Identities

Mississippi State University Department of Electrical and Computer Engineering

Overview
Works: 22 works in 24 publications in 1 language and 29 library holdings
Classifications: HE5614.3.M7,
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Most widely held works about Mississippi State University
 
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Most widely held works by Mississippi State University
Scalable SiC power switches for applications in more electric vehicles (preprint)( Book )

2 editions published in 2007 in English and held by 4 WorldCat member libraries worldwide

SiC JFETs can be manufactured in three different conduction types; fully normally off (capable of blocking BVDS(max) at VGS = 0V), quasi-off (previously referred to as bias-enhanced capable of blocking half BVDS(max) at VGS = 0V)), and?hard? normally on (unable to block any amount of voltage at VGS = 0V). There exists trade-offs between each of the three conduction types mostly evident in the forward current ratings and specific on resistance. Due to the structure of the device the normally on device yields the greatest forward current ratings and lowest on resistance. The quasi-off device that is design to block up to half of the maximum blocking capabilities at VGS = 0, typically results in 1.5x reduction in forward current with the normally off device demonstrating greater than 2x reduction in forward current ratings. Because of the large reduction in conduction current capabilities of the normally off device, the normally on and quasi-off devices are more strongly promoted
Automated accident detection at intersections by Yunlong Zhang( Book )

2 editions published in 2004 in English and held by 3 WorldCat member libraries worldwide

This research aims to provide a timely and accurate accident detection method at intersections, which is very important for the Traffic Management System(TMS). This research uses acoustic signals to detect accident at intersections. A system is constructed that can be operated in two modes: two-class and multiclass. The input to the system is a three-second segment of audio signal. The output of the two-class mode is a label of "crash" or "non-crash". In the multi-class mode of operation, the system identifies crashes as well as several types of non-crash incidents, including normal traffic and construction sounds. The system is composed of three main signal processing stages: feature extraction, feature reduction, and feature classification. Five methods of feature extraction are investigated and compared; these are based on the discrete wavelet transform, fast Fourier transform, discrete cosine transform, real cepstral transform, and mel frequency cepstral transform. Statistical methods are used for feature optimization and classification. Three types of classifiers are investigated and compared: the nearest mean, maximum likelihood, and nearest neighbor methods. This study focuses on the detection algorithm development. Lab testing of the algorithm showed that the selected algorithm can detect intersection accidents with very high accuracy
Target discrimination/classification radar by B. Jeffrey Skinner( Book )

1 edition published in 1995 in English and held by 1 WorldCat member library worldwide

 
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Audience level: 0.61 (from 0.49 for Real-time ... to 0.84 for Scalable S ...)

Alternative Names

controlled identityMississippi State University

controlled identityMississippi State University. Department of Electrical Engineering

Mississippi State University. Dept. of Electrical and Computer Engineering

Languages
English (24)