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Modeling

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Full-Text Articles in Engineering

Modeling Of Wide Bandgap Power Semiconductor Devices—Part I, Kang Peng Nov 2016

Modeling Of Wide Bandgap Power Semiconductor Devices—Part I, Kang Peng

Kang Peng

Wide bandgap power devices have emerged as an often superior alternative power switch technology for many
power electronic applications. These devices theoretically have excellent material properties enabling power device operation at higher switching frequencies and higher temperatures compared with conventional silicon devices. However, material defects can dominate device behavior, particularly over time, and this should be strongly considered when trying to model actual characteristics of currently available devices. Compact models
of wide bandgap power devices are necessary to analyze and evaluate their impact on circuit and system performance. Available compact models, i.e., models compatible with circuit level simulators, are reviewed. …


Modeling Of Wide-Bandgap Power Semiconductor Devices—Part Ii, Kang Peng Dec 2014

Modeling Of Wide-Bandgap Power Semiconductor Devices—Part Ii, Kang Peng

Kang Peng

Compact models of wide-bandgap power devices are necessary to analyze and evaluate their impact on circuit and
system performance. Part I reviewed compact models for silicon carbide (SiC) power diodes and MOSFETs. Part II completes the review of SiC devices and covers gallium nitride devices as well.


On Modeling Eavesdropping Attacks In Wireless Networks, Xuran Li, Jianlong Xu, Hong-Ning Dai, Qinglin Zhao, Chak Fong Cheang, Qiu Wang Oct 2014

On Modeling Eavesdropping Attacks In Wireless Networks, Xuran Li, Jianlong Xu, Hong-Ning Dai, Qinglin Zhao, Chak Fong Cheang, Qiu Wang

Hong-Ning Dai

This paper concerns the eavesdropping attacks from the eavesdroppers’ perspective, which is new since most of current studies consider the problem from the good nodes’ perspective. In this paper, we originally propose an analytical framework to quantify the effective area and the probability of the eavesdropping attacks. This framework enables us to theoretically evaluate the impact of node density, antenna model, and wireless channel model on the eavesdropping attacks. We verify via extensive simulations that the proposed analytical framework is very accurate. Our results show that the probability of eavesdropping attacks significantly vary, depending on the wireless environments (such as …