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Dept: Electrical Engineering  Dates: Last 2 Years

You searched for subject:(Computer technology). Showing records 1 – 2 of 2 total matches.

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Vanderbilt University

1. Gong, Huiqi. Single-event transients in Indium Gallium Arsenide MOSFETs for Sub-10 nm CMOS technology.

Degree: PhD, Electrical Engineering, 2018, Vanderbilt University

MOSFETs are the building blocks of modern electronics. A modern microprocessor contains billions of transistors. The microelectronics revolution can be characterized by the motto √Ęsmaller is better√Ę, due to its cost reduction, enhanced performance and greater efficiency. InGaAs FinFETs are promising candidates for sub-10 nm technology due to their excellent gate control and superior transport properties. Single-event transients (SETs) are electrical perturbations produced by energetic particles, such as atmospheric neutrons or alpha particles emitted from back end of line (BEOL) materials. The temporary currents generated by these events may lead to soft errors in ICs, which are one of the most important reliability issues in highly scaled technologies. In this work, SET response and charge collection mechanisms of InGaAs FinFETs are explored with both pulsed-laser and heavy-ion irradiation. InGaAs FinFETs are more sensitive to SETs than their Si counterparts due to parasitic bipolar amplification effects. InGaAs FinFETs are less sensitive to SETs as fin width decreases due to geometry and backgating effects. Plasmonic effects may enhance charge deposition in the fins for FinFETs with very narrow fins and future gate-all-around-nanowire technologies. In order to be compatible with mainstream silicon technology, InGaAs FinFETs are integrated on silicon substrates. These silicon-substrate InGaAs FinFETs are more robust to SETs than semi-insulating InP-substrate InGaAs FinFETs due to reduced bipolar amplification effects, which makes these devices promising candidates for both terrestrial and space applications. Advisors/Committee Members: Ronald D. Schrimpf (chair), Daniel M. Fleetwood (committee member), Robert A. Reed (committee member), Michael L. Alles (committee member), Enxia Zhang (committee member), Sokrates T. Pantelides (committee member).

Subjects/Keywords: pulsed-laser; technology computer-aided design (TCAD); InGaAs; FinFET; CMOS; single-event transient (SET); bipolar amplification; heavy ion; technology scaling; charge collection

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Gong, H. (2018). Single-event transients in Indium Gallium Arsenide MOSFETs for Sub-10 nm CMOS technology. (Doctoral Dissertation). Vanderbilt University. Retrieved from http://etd.library.vanderbilt.edu/available/etd-09172018-130053/ ;

Chicago Manual of Style (16th Edition):

Gong, Huiqi. “Single-event transients in Indium Gallium Arsenide MOSFETs for Sub-10 nm CMOS technology.” 2018. Doctoral Dissertation, Vanderbilt University. Accessed November 18, 2019. http://etd.library.vanderbilt.edu/available/etd-09172018-130053/ ;.

MLA Handbook (7th Edition):

Gong, Huiqi. “Single-event transients in Indium Gallium Arsenide MOSFETs for Sub-10 nm CMOS technology.” 2018. Web. 18 Nov 2019.

Vancouver:

Gong H. Single-event transients in Indium Gallium Arsenide MOSFETs for Sub-10 nm CMOS technology. [Internet] [Doctoral dissertation]. Vanderbilt University; 2018. [cited 2019 Nov 18]. Available from: http://etd.library.vanderbilt.edu/available/etd-09172018-130053/ ;.

Council of Science Editors:

Gong H. Single-event transients in Indium Gallium Arsenide MOSFETs for Sub-10 nm CMOS technology. [Doctoral Dissertation]. Vanderbilt University; 2018. Available from: http://etd.library.vanderbilt.edu/available/etd-09172018-130053/ ;


University of California – Santa Cruz

2. Aranburu, Alex. IMU Data Processing to Recognize Activities of Daily Living with Smart Headset.

Degree: Electrical Engineering, 2018, University of California – Santa Cruz

This thesis proposes a novel approach for the detection and recognition of humanmovements. Specically, Activities of Daily Living (ADL) such as standing up,sitting down and walking are tracked. In order to monitor human motion, a headsetprototype with a single Inertial Measurement Unit (IMU) with accelerometer, gyroscopeand magnetometer has been developed. Accurate estimation of orientationand velocity through computationally cheap IMU data processing allows a representativecharacterization of human behavior patterns in this case. Thanks to testsperformed among dierent subjects, results show that events are robustly detected89% of the cases and that activities are recognized with a success rate of 92%. Whatis more, adequate rejection of noisy movements has also been achieved 94% of thetime. Thus, an ecient and robust solution for human physical activity tracking ispresented.

Subjects/Keywords: Computer engineering; Electrical engineering; Information technology; Activities of Daily Living; Headset; IMU; Motion Recognition; Orientation Estimation; Position Estimation

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Aranburu, A. (2018). IMU Data Processing to Recognize Activities of Daily Living with Smart Headset. (Thesis). University of California – Santa Cruz. Retrieved from http://www.escholarship.org/uc/item/5rs5t0sf

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Aranburu, Alex. “IMU Data Processing to Recognize Activities of Daily Living with Smart Headset.” 2018. Thesis, University of California – Santa Cruz. Accessed November 18, 2019. http://www.escholarship.org/uc/item/5rs5t0sf.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Aranburu, Alex. “IMU Data Processing to Recognize Activities of Daily Living with Smart Headset.” 2018. Web. 18 Nov 2019.

Vancouver:

Aranburu A. IMU Data Processing to Recognize Activities of Daily Living with Smart Headset. [Internet] [Thesis]. University of California – Santa Cruz; 2018. [cited 2019 Nov 18]. Available from: http://www.escholarship.org/uc/item/5rs5t0sf.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Aranburu A. IMU Data Processing to Recognize Activities of Daily Living with Smart Headset. [Thesis]. University of California – Santa Cruz; 2018. Available from: http://www.escholarship.org/uc/item/5rs5t0sf

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

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