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You searched for +publisher:"Virginia Tech" +contributor:("Michaels, Alan J."). Showing records 1 – 9 of 9 total matches.

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Virginia Tech

1. Arechiga, Austin Podoll. Sensitivity of Feedforward Neural Networks to Harsh Computing Environments.

Degree: MS, Electrical and Computer Engineering, 2018, Virginia Tech

 Neural Networks have proven themselves very adept at solving a wide variety of problems, in particular they accel at image processing. However, it remains unknown… (more)

Subjects/Keywords: Machine Learning; Fault Tolerance; Single Event Upsets

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APA (6th Edition):

Arechiga, A. P. (2018). Sensitivity of Feedforward Neural Networks to Harsh Computing Environments. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/84527

Chicago Manual of Style (16th Edition):

Arechiga, Austin Podoll. “Sensitivity of Feedforward Neural Networks to Harsh Computing Environments.” 2018. Masters Thesis, Virginia Tech. Accessed March 28, 2020. http://hdl.handle.net/10919/84527.

MLA Handbook (7th Edition):

Arechiga, Austin Podoll. “Sensitivity of Feedforward Neural Networks to Harsh Computing Environments.” 2018. Web. 28 Mar 2020.

Vancouver:

Arechiga AP. Sensitivity of Feedforward Neural Networks to Harsh Computing Environments. [Internet] [Masters thesis]. Virginia Tech; 2018. [cited 2020 Mar 28]. Available from: http://hdl.handle.net/10919/84527.

Council of Science Editors:

Arechiga AP. Sensitivity of Feedforward Neural Networks to Harsh Computing Environments. [Masters Thesis]. Virginia Tech; 2018. Available from: http://hdl.handle.net/10919/84527

2. Suslowicz, Charles Eugene. Secure Intermittent Computing: Precomputation and Implementation.

Degree: MS, Electrical and Computer Engineering, 2018, Virginia Tech

 This thesis explores the security of intermittent devices, embedded systems designed to retain their state across periods of power loss, for cases both when the… (more)

Subjects/Keywords: intermittent computing; embedded systems security

…Electrical and Computer Engineering, Virginia Tech, Blacksburg, VA 34061 USA 2.1 Abstract The… 

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APA (6th Edition):

Suslowicz, C. E. (2018). Secure Intermittent Computing: Precomputation and Implementation. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/83376

Chicago Manual of Style (16th Edition):

Suslowicz, Charles Eugene. “Secure Intermittent Computing: Precomputation and Implementation.” 2018. Masters Thesis, Virginia Tech. Accessed March 28, 2020. http://hdl.handle.net/10919/83376.

MLA Handbook (7th Edition):

Suslowicz, Charles Eugene. “Secure Intermittent Computing: Precomputation and Implementation.” 2018. Web. 28 Mar 2020.

Vancouver:

Suslowicz CE. Secure Intermittent Computing: Precomputation and Implementation. [Internet] [Masters thesis]. Virginia Tech; 2018. [cited 2020 Mar 28]. Available from: http://hdl.handle.net/10919/83376.

Council of Science Editors:

Suslowicz CE. Secure Intermittent Computing: Precomputation and Implementation. [Masters Thesis]. Virginia Tech; 2018. Available from: http://hdl.handle.net/10919/83376

3. Fletcher, Michael John. Enhanced Implementations for Arbitrary-Phase Spread Spectrum Waveforms.

Degree: MS, Electrical Engineering, 2019, Virginia Tech

 This thesis presents a series of options for enhancing the implementation of arbitrary-phase spread spectrum waveforms, a highly-secure class of wireless technologies, in order to… (more)

Subjects/Keywords: Spread Spectrum; Arbitrary-Phase; Chaotic Communications; Implementation

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APA (6th Edition):

Fletcher, M. J. (2019). Enhanced Implementations for Arbitrary-Phase Spread Spectrum Waveforms. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/90286

Chicago Manual of Style (16th Edition):

Fletcher, Michael John. “Enhanced Implementations for Arbitrary-Phase Spread Spectrum Waveforms.” 2019. Masters Thesis, Virginia Tech. Accessed March 28, 2020. http://hdl.handle.net/10919/90286.

MLA Handbook (7th Edition):

Fletcher, Michael John. “Enhanced Implementations for Arbitrary-Phase Spread Spectrum Waveforms.” 2019. Web. 28 Mar 2020.

Vancouver:

Fletcher MJ. Enhanced Implementations for Arbitrary-Phase Spread Spectrum Waveforms. [Internet] [Masters thesis]. Virginia Tech; 2019. [cited 2020 Mar 28]. Available from: http://hdl.handle.net/10919/90286.

Council of Science Editors:

Fletcher MJ. Enhanced Implementations for Arbitrary-Phase Spread Spectrum Waveforms. [Masters Thesis]. Virginia Tech; 2019. Available from: http://hdl.handle.net/10919/90286

4. Selvi, Ersin Suleyman. Cognitive Radar Applied To Target Tracking Using Markov Decision Processes.

Degree: MS, Electrical Engineering, 2018, Virginia Tech

 The radio-frequency spectrum is a precious resource, with many applications and users, especially with the recent spectrum auction in the United States. Future platforms and… (more)

Subjects/Keywords: Cognitive radar; target tracking; Markov decision process; interference mitigation; spectrum coexistence

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APA (6th Edition):

Selvi, E. S. (2018). Cognitive Radar Applied To Target Tracking Using Markov Decision Processes. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/81968

Chicago Manual of Style (16th Edition):

Selvi, Ersin Suleyman. “Cognitive Radar Applied To Target Tracking Using Markov Decision Processes.” 2018. Masters Thesis, Virginia Tech. Accessed March 28, 2020. http://hdl.handle.net/10919/81968.

MLA Handbook (7th Edition):

Selvi, Ersin Suleyman. “Cognitive Radar Applied To Target Tracking Using Markov Decision Processes.” 2018. Web. 28 Mar 2020.

Vancouver:

Selvi ES. Cognitive Radar Applied To Target Tracking Using Markov Decision Processes. [Internet] [Masters thesis]. Virginia Tech; 2018. [cited 2020 Mar 28]. Available from: http://hdl.handle.net/10919/81968.

Council of Science Editors:

Selvi ES. Cognitive Radar Applied To Target Tracking Using Markov Decision Processes. [Masters Thesis]. Virginia Tech; 2018. Available from: http://hdl.handle.net/10919/81968


Virginia Tech

5. Thews, Jonathan Tyler. Design and Analysis of L-Band Reconfigurable Liquid-Metal Alloy Antennas.

Degree: MS, Electrical and Computer Engineering, 2017, Virginia Tech

 Efficient reconfigurable antennas are highly sought after in all communication applications for the ability to reduce space cost while maintaining the ability to control the… (more)

Subjects/Keywords: liquid metal; antenna; reconfigurable; EGaIn; eutectic; gallium; indium; L-band

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APA (6th Edition):

Thews, J. T. (2017). Design and Analysis of L-Band Reconfigurable Liquid-Metal Alloy Antennas. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/78007

Chicago Manual of Style (16th Edition):

Thews, Jonathan Tyler. “Design and Analysis of L-Band Reconfigurable Liquid-Metal Alloy Antennas.” 2017. Masters Thesis, Virginia Tech. Accessed March 28, 2020. http://hdl.handle.net/10919/78007.

MLA Handbook (7th Edition):

Thews, Jonathan Tyler. “Design and Analysis of L-Band Reconfigurable Liquid-Metal Alloy Antennas.” 2017. Web. 28 Mar 2020.

Vancouver:

Thews JT. Design and Analysis of L-Band Reconfigurable Liquid-Metal Alloy Antennas. [Internet] [Masters thesis]. Virginia Tech; 2017. [cited 2020 Mar 28]. Available from: http://hdl.handle.net/10919/78007.

Council of Science Editors:

Thews JT. Design and Analysis of L-Band Reconfigurable Liquid-Metal Alloy Antennas. [Masters Thesis]. Virginia Tech; 2017. Available from: http://hdl.handle.net/10919/78007


Virginia Tech

6. Petrosky, Eric Edward. Receiver-Assigned CDMA in Wireless Sensor Networks.

Degree: MS, Electrical Engineering, 2018, Virginia Tech

 A new class of Wireless Sensor Networks (WSNs) is emerging within the Internet of Things (IoT) that features extremely high node density, low data rates… (more)

Subjects/Keywords: Wireless Sensor Networks; Medium Access Control; MAC; Receiver Assigned Code Division Multiple Access; RA-CDMA; IEEE 802.15.4; Zigbee

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APA (6th Edition):

Petrosky, E. E. (2018). Receiver-Assigned CDMA in Wireless Sensor Networks. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/83382

Chicago Manual of Style (16th Edition):

Petrosky, Eric Edward. “Receiver-Assigned CDMA in Wireless Sensor Networks.” 2018. Masters Thesis, Virginia Tech. Accessed March 28, 2020. http://hdl.handle.net/10919/83382.

MLA Handbook (7th Edition):

Petrosky, Eric Edward. “Receiver-Assigned CDMA in Wireless Sensor Networks.” 2018. Web. 28 Mar 2020.

Vancouver:

Petrosky EE. Receiver-Assigned CDMA in Wireless Sensor Networks. [Internet] [Masters thesis]. Virginia Tech; 2018. [cited 2020 Mar 28]. Available from: http://hdl.handle.net/10919/83382.

Council of Science Editors:

Petrosky EE. Receiver-Assigned CDMA in Wireless Sensor Networks. [Masters Thesis]. Virginia Tech; 2018. Available from: http://hdl.handle.net/10919/83382


Virginia Tech

7. Hauser, Steven Charles. Real-World Considerations for Deep Learning in Spectrum Sensing.

Degree: MS, Electrical Engineering, 2018, Virginia Tech

 Recently, automatic modulation classification techniques using deep neural networks on raw IQ samples have been investigated and show promise when compared to more traditional likelihood-based… (more)

Subjects/Keywords: Machine Learning; Spectrum Sensing; Neural Networks; Automatic Modulation Classification; Communication Systems

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APA (6th Edition):

Hauser, S. C. (2018). Real-World Considerations for Deep Learning in Spectrum Sensing. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/83560

Chicago Manual of Style (16th Edition):

Hauser, Steven Charles. “Real-World Considerations for Deep Learning in Spectrum Sensing.” 2018. Masters Thesis, Virginia Tech. Accessed March 28, 2020. http://hdl.handle.net/10919/83560.

MLA Handbook (7th Edition):

Hauser, Steven Charles. “Real-World Considerations for Deep Learning in Spectrum Sensing.” 2018. Web. 28 Mar 2020.

Vancouver:

Hauser SC. Real-World Considerations for Deep Learning in Spectrum Sensing. [Internet] [Masters thesis]. Virginia Tech; 2018. [cited 2020 Mar 28]. Available from: http://hdl.handle.net/10919/83560.

Council of Science Editors:

Hauser SC. Real-World Considerations for Deep Learning in Spectrum Sensing. [Masters Thesis]. Virginia Tech; 2018. Available from: http://hdl.handle.net/10919/83560

8. McGinthy, Jason M. Solutions for Internet of Things Security Challenges: Trust and Authentication.

Degree: PhD, Computer Engineering, 2019, Virginia Tech

 The Internet has been gaining a foothold in our everyday lives. Smart homes, smart cars, and smart cities are becoming less science fiction and more… (more)

Subjects/Keywords: Security; Internet of Things; Standardization; Authentication; Lightweight

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APA (6th Edition):

McGinthy, J. M. (2019). Solutions for Internet of Things Security Challenges: Trust and Authentication. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/91443

Chicago Manual of Style (16th Edition):

McGinthy, Jason M. “Solutions for Internet of Things Security Challenges: Trust and Authentication.” 2019. Doctoral Dissertation, Virginia Tech. Accessed March 28, 2020. http://hdl.handle.net/10919/91443.

MLA Handbook (7th Edition):

McGinthy, Jason M. “Solutions for Internet of Things Security Challenges: Trust and Authentication.” 2019. Web. 28 Mar 2020.

Vancouver:

McGinthy JM. Solutions for Internet of Things Security Challenges: Trust and Authentication. [Internet] [Doctoral dissertation]. Virginia Tech; 2019. [cited 2020 Mar 28]. Available from: http://hdl.handle.net/10919/91443.

Council of Science Editors:

McGinthy JM. Solutions for Internet of Things Security Challenges: Trust and Authentication. [Doctoral Dissertation]. Virginia Tech; 2019. Available from: http://hdl.handle.net/10919/91443

9. Wong, Lauren Joy. On the Use of Convolutional Neural Networks for Specific Emitter Identification.

Degree: MS, Electrical Engineering, 2018, Virginia Tech

 Specific Emitter Identification (SEI) is the association of a received signal to an emitter, and is made possible by the unique and unintentional characteristics an… (more)

Subjects/Keywords: Specific Emitter Identification; Convolutional Neural Networks; IQ Imbalance; Estimation; Feature Learning; Clustering

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APA (6th Edition):

Wong, L. J. (2018). On the Use of Convolutional Neural Networks for Specific Emitter Identification. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/83532

Chicago Manual of Style (16th Edition):

Wong, Lauren Joy. “On the Use of Convolutional Neural Networks for Specific Emitter Identification.” 2018. Masters Thesis, Virginia Tech. Accessed March 28, 2020. http://hdl.handle.net/10919/83532.

MLA Handbook (7th Edition):

Wong, Lauren Joy. “On the Use of Convolutional Neural Networks for Specific Emitter Identification.” 2018. Web. 28 Mar 2020.

Vancouver:

Wong LJ. On the Use of Convolutional Neural Networks for Specific Emitter Identification. [Internet] [Masters thesis]. Virginia Tech; 2018. [cited 2020 Mar 28]. Available from: http://hdl.handle.net/10919/83532.

Council of Science Editors:

Wong LJ. On the Use of Convolutional Neural Networks for Specific Emitter Identification. [Masters Thesis]. Virginia Tech; 2018. Available from: http://hdl.handle.net/10919/83532

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