RF frequency properties of a reverse biased thick switching PIN-diode

This paper describes an authentication scheme that uses Diophantine equations based generation of the secret locations to embed the authentication and recovery watermark in the DWT sub-bands. The security lies in the difficulty of finding a solution to the Diophantine equation. The scheme uses the content invariant features of the image as a self-authenticating watermark and a quantized down sampled approximation of the original image as a recovery watermark for visual authentication, both embedded securely using secret locations generated from solution of the Diophantine equations formed from the PQ sequences. The scheme is mildly robust to Jpeg compression and highly robust to Jpeg2000 compression. The scheme also ensures highly imperceptible watermarked images as the spatio –frequency properties of DWT are utilized to embed the dual watermarks.

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Study on Avalanche Uniformity in 1.2KV GaN Vertical PIN Diode with Bevel Edge-Termination

2021 IEEE International Reliability Physics Symposium (IRPS) ◽

10.1109/irps46558.2021.9405165 ◽

2021 ◽

Author(s):

Ke Zeng ◽

Srabanti Chowdhury ◽

Brendan Gunning ◽

Robert Kaplar ◽

Travis Anderson

Keyword(s):

Pin Diode ◽

Edge Termination ◽

Bevel Edge

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Wideband-Narrowband Switchable Tapered Slot Antenna for Breast Cancer Diagnosis and Treatment

Applied Sciences ◽

10.3390/app11083606 ◽

2021 ◽

Vol 11 (8) ◽

pp. 3606

Author(s):

Seonho Lim ◽

Young Joong Yoon

Keyword(s):

Breast Cancer ◽

Coupling Effect ◽

Breast Cancer Diagnosis ◽

Microwave Imaging ◽

Ultra Wideband ◽

Slot Antenna ◽

Pin Diode ◽

Time Frequency ◽

Switching Mode ◽

Meander Line

In this paper, a wideband-narrowband switchable tapered slot antenna (TSA) with a compact meander line resonator for an integrated microwave imaging and hyperthermia system was proposed. A compact meander line resonator, which exhibited band-pass characteristics and provided narrowband characteristics by using one PIN diode, was fabricated beneath the tapered slot of the wideband TSA to minimize the degradation of the wideband characteristics. Moreover, the electromagnetic energy was transferred to the meander line resonator with a coupling effect to ensure effective frequency switching. By adapting a PIN diode on the meander line resonator, frequency switching could be achieved. In this way, the proposed antenna could operate in a real-time frequency switching mode between the ultra-wideband (UWB; 3.1~10 GHz), which is used for microwave imaging, and the 2.45 GHz band (industrial, scientific, and medical, ISM band), which is used for microwave hyperthermia. Frequency and time-domain results proved the applicability of the proposed antenna to an integrated breast cancer detection and treatment system.

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AIRDOS — open-source PIN diode airborne dosimeter

Journal of Instrumentation ◽

10.1088/1748-0221/16/03/t03006 ◽

2021 ◽

Vol 16 (03) ◽

pp. T03006

Author(s):

M. Kákona ◽

J. Šlegl ◽

D. Kyselová ◽

M. Sommer ◽

J. Kákona ◽

...

Keyword(s):

Open Source ◽

Pin Diode

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Frequency Variability Feature for Life Signs Detection and Localization in Natural Disasters

Remote Sensing ◽

10.3390/rs13040796 ◽

2021 ◽

Vol 13 (4) ◽

pp. 796

Author(s):

Long Zhang ◽

Xuezhi Yang ◽

Jing Shen

Keyword(s):

Natural Disasters ◽

Current Method ◽

Peak Frequency ◽

Significant Information ◽

Physiological Phenomenon ◽

In The Wild ◽

Motion Magnification ◽

Background Motion ◽

Detection And Localization ◽

Frequency Properties

The locations and breathing signal of people in disaster areas are significant information for search and rescue missions in prioritizing operations to save more lives. For detecting the living people who are lying on the ground and covered with dust, debris or ashes, a motion magnification-based method has recently been proposed. This current method estimates the locations and breathing signal of people from a drone video by assuming that only human breathing-related motions exist in the video. However, in natural disasters, background motions, such as swing trees and grass caused by wind, are mixed with human breathing, that distort this assumption, resulting in misleading or even no life signs locations. Therefore, the life signs in disaster areas are challenging to be detected due to the undesired background motions. Note that human breathing is a natural physiological phenomenon, and it is a periodic motion with a steady peak frequency; while background motion always involves complex space-time behaviors, their peak frequencies seem to be variable over time. Therefore, in this work we analyze and focus on the frequency properties of motions to model a frequency variability feature used for extracting only human breathing, while eliminating irrelevant background motions in the video, which would ease the challenge in detection and localization of life signs. The proposed method was validated with both drone and camera videos recorded in the wild. The average precision measures of our method for drone and camera videos were 0.94 and 0.92, which are higher than that of compared methods, demonstrating that our method is more robust and accurate to background motions. The implications and limitations regarding the frequency variability feature were discussed.

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