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You searched for +publisher:"University of Tennessee – Knoxville" +contributor:("Garrett S. Rose"). Showing records 1 – 10 of 10 total matches.

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University of Tennessee – Knoxville

1. Daffron, Christopher Paul. DANNA A Neuromorphic Computing VLSI Chip.

Degree: MS, Computer Engineering, 2015, University of Tennessee – Knoxville

  Dynamic Adaptive Neural Network Arrays (DANNAs) are neuromorphic systems that exhibit spiking behaviors and can be designed using evolutionary optimization. Array elements are rapidly… (more)

Subjects/Keywords: VLSI; ASIC; Spiking Neural Networks; FPGA; VLSI and Circuits, Embedded and Hardware Systems

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

APA (6th Edition):

Daffron, C. P. (2015). DANNA A Neuromorphic Computing VLSI Chip. (Thesis). University of Tennessee – Knoxville. Retrieved from https://trace.tennessee.edu/utk_gradthes/3467

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):

Daffron, Christopher Paul. “DANNA A Neuromorphic Computing VLSI Chip.” 2015. Thesis, University of Tennessee – Knoxville. Accessed December 09, 2019. https://trace.tennessee.edu/utk_gradthes/3467.

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

MLA Handbook (7th Edition):

Daffron, Christopher Paul. “DANNA A Neuromorphic Computing VLSI Chip.” 2015. Web. 09 Dec 2019.

Vancouver:

Daffron CP. DANNA A Neuromorphic Computing VLSI Chip. [Internet] [Thesis]. University of Tennessee – Knoxville; 2015. [cited 2019 Dec 09]. Available from: https://trace.tennessee.edu/utk_gradthes/3467.

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

Council of Science Editors:

Daffron CP. DANNA A Neuromorphic Computing VLSI Chip. [Thesis]. University of Tennessee – Knoxville; 2015. Available from: https://trace.tennessee.edu/utk_gradthes/3467

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


University of Tennessee – Knoxville

2. Weiss, Ryan John. Analog Axon Hillock Neuron Design for Memristive Neuromorphic Systems.

Degree: MS, Electrical Engineering, 2017, University of Tennessee – Knoxville

 Neuromorphic electronics studies the physical realization of neural networks in discrete circuit components. Hardware implementations of neural networks take advantage of highly parallelized computing power… (more)

Subjects/Keywords: Neuromorphic; Neuron; Memristor; Analog

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APA (6th Edition):

Weiss, R. J. (2017). Analog Axon Hillock Neuron Design for Memristive Neuromorphic Systems. (Thesis). University of Tennessee – Knoxville. Retrieved from https://trace.tennessee.edu/utk_gradthes/4986

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):

Weiss, Ryan John. “Analog Axon Hillock Neuron Design for Memristive Neuromorphic Systems.” 2017. Thesis, University of Tennessee – Knoxville. Accessed December 09, 2019. https://trace.tennessee.edu/utk_gradthes/4986.

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

MLA Handbook (7th Edition):

Weiss, Ryan John. “Analog Axon Hillock Neuron Design for Memristive Neuromorphic Systems.” 2017. Web. 09 Dec 2019.

Vancouver:

Weiss RJ. Analog Axon Hillock Neuron Design for Memristive Neuromorphic Systems. [Internet] [Thesis]. University of Tennessee – Knoxville; 2017. [cited 2019 Dec 09]. Available from: https://trace.tennessee.edu/utk_gradthes/4986.

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

Council of Science Editors:

Weiss RJ. Analog Axon Hillock Neuron Design for Memristive Neuromorphic Systems. [Thesis]. University of Tennessee – Knoxville; 2017. Available from: https://trace.tennessee.edu/utk_gradthes/4986

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


University of Tennessee – Knoxville

3. Mitchell, John Parker. DANNA2: Dynamic Adaptive Neural Network Arrays.

Degree: MS, Computer Engineering, 2018, University of Tennessee – Knoxville

 Traditional Von Neumann architectures have been at the center of computing for decades thanks in part to Moore's Law and Dennard Scaling. However, MOSFET scaling… (more)

Subjects/Keywords: neuromorphic; spiking neural networks; computer architecture; machine learning

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

APA (6th Edition):

Mitchell, J. P. (2018). DANNA2: Dynamic Adaptive Neural Network Arrays. (Thesis). University of Tennessee – Knoxville. Retrieved from https://trace.tennessee.edu/utk_gradthes/5167

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):

Mitchell, John Parker. “DANNA2: Dynamic Adaptive Neural Network Arrays.” 2018. Thesis, University of Tennessee – Knoxville. Accessed December 09, 2019. https://trace.tennessee.edu/utk_gradthes/5167.

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

MLA Handbook (7th Edition):

Mitchell, John Parker. “DANNA2: Dynamic Adaptive Neural Network Arrays.” 2018. Web. 09 Dec 2019.

Vancouver:

Mitchell JP. DANNA2: Dynamic Adaptive Neural Network Arrays. [Internet] [Thesis]. University of Tennessee – Knoxville; 2018. [cited 2019 Dec 09]. Available from: https://trace.tennessee.edu/utk_gradthes/5167.

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

Council of Science Editors:

Mitchell JP. DANNA2: Dynamic Adaptive Neural Network Arrays. [Thesis]. University of Tennessee – Knoxville; 2018. Available from: https://trace.tennessee.edu/utk_gradthes/5167

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


University of Tennessee – Knoxville

4. Eckhart, Patricia Jean. Tiled DANNA: Dynamic Adaptive Neural Network Array Scaled Across Multiple Chips.

Degree: MS, Computer Engineering, 2017, University of Tennessee – Knoxville

  Tiled Dynamic Adaptive Neural Network Array(Tiled DANNA) is a recurrent spiking neural network structure composed of programmable biologically inspired neurons and synapses that scales… (more)

Subjects/Keywords: neuromorphic; FPGA; spiking neural network; interconnect; Computer and Systems Architecture

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APA (6th Edition):

Eckhart, P. J. (2017). Tiled DANNA: Dynamic Adaptive Neural Network Array Scaled Across Multiple Chips. (Thesis). University of Tennessee – Knoxville. Retrieved from https://trace.tennessee.edu/utk_gradthes/4870

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):

Eckhart, Patricia Jean. “Tiled DANNA: Dynamic Adaptive Neural Network Array Scaled Across Multiple Chips.” 2017. Thesis, University of Tennessee – Knoxville. Accessed December 09, 2019. https://trace.tennessee.edu/utk_gradthes/4870.

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

MLA Handbook (7th Edition):

Eckhart, Patricia Jean. “Tiled DANNA: Dynamic Adaptive Neural Network Array Scaled Across Multiple Chips.” 2017. Web. 09 Dec 2019.

Vancouver:

Eckhart PJ. Tiled DANNA: Dynamic Adaptive Neural Network Array Scaled Across Multiple Chips. [Internet] [Thesis]. University of Tennessee – Knoxville; 2017. [cited 2019 Dec 09]. Available from: https://trace.tennessee.edu/utk_gradthes/4870.

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

Council of Science Editors:

Eckhart PJ. Tiled DANNA: Dynamic Adaptive Neural Network Array Scaled Across Multiple Chips. [Thesis]. University of Tennessee – Knoxville; 2017. Available from: https://trace.tennessee.edu/utk_gradthes/4870

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


University of Tennessee – Knoxville

5. Tobin, Jacob Daniel. A Hardware Based Audio Event Detection System.

Degree: MS, Electrical Engineering, 2015, University of Tennessee – Knoxville

  Audio event detection and analysis is an important tool in many fields, from entertainment to security. Recognition technologies are used daily for parsing voice… (more)

Subjects/Keywords: FPGA; Gunshot; Audio detection; Hardware; Cross Correlation; Electrical and Computer Engineering

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

APA (6th Edition):

Tobin, J. D. (2015). A Hardware Based Audio Event Detection System. (Thesis). University of Tennessee – Knoxville. Retrieved from https://trace.tennessee.edu/utk_gradthes/3612

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):

Tobin, Jacob Daniel. “A Hardware Based Audio Event Detection System.” 2015. Thesis, University of Tennessee – Knoxville. Accessed December 09, 2019. https://trace.tennessee.edu/utk_gradthes/3612.

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

MLA Handbook (7th Edition):

Tobin, Jacob Daniel. “A Hardware Based Audio Event Detection System.” 2015. Web. 09 Dec 2019.

Vancouver:

Tobin JD. A Hardware Based Audio Event Detection System. [Internet] [Thesis]. University of Tennessee – Knoxville; 2015. [cited 2019 Dec 09]. Available from: https://trace.tennessee.edu/utk_gradthes/3612.

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

Council of Science Editors:

Tobin JD. A Hardware Based Audio Event Detection System. [Thesis]. University of Tennessee – Knoxville; 2015. Available from: https://trace.tennessee.edu/utk_gradthes/3612

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


University of Tennessee – Knoxville

6. Young, Aaron Reed. Scalable High-Speed Communications for Neuromorphic Systems.

Degree: MS, Computer Engineering, 2017, University of Tennessee – Knoxville

  Field-programmable gate arrays (FPGA), application-specific integrated circuits (ASIC), and other chip/multi-chip level implementations can be used to implement Dynamic Adaptive Neural Network Arrays (DANNA).… (more)

Subjects/Keywords: Neuromorphic; Computer Architecture; Communication; High-Speed; Aurora; FPGA; Computer and Systems Architecture; Computer Engineering; Digital Communications and Networking; Hardware Systems

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APA (6th Edition):

Young, A. R. (2017). Scalable High-Speed Communications for Neuromorphic Systems. (Thesis). University of Tennessee – Knoxville. Retrieved from https://trace.tennessee.edu/utk_gradthes/4916

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):

Young, Aaron Reed. “Scalable High-Speed Communications for Neuromorphic Systems.” 2017. Thesis, University of Tennessee – Knoxville. Accessed December 09, 2019. https://trace.tennessee.edu/utk_gradthes/4916.

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

MLA Handbook (7th Edition):

Young, Aaron Reed. “Scalable High-Speed Communications for Neuromorphic Systems.” 2017. Web. 09 Dec 2019.

Vancouver:

Young AR. Scalable High-Speed Communications for Neuromorphic Systems. [Internet] [Thesis]. University of Tennessee – Knoxville; 2017. [cited 2019 Dec 09]. Available from: https://trace.tennessee.edu/utk_gradthes/4916.

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

Council of Science Editors:

Young AR. Scalable High-Speed Communications for Neuromorphic Systems. [Thesis]. University of Tennessee – Knoxville; 2017. Available from: https://trace.tennessee.edu/utk_gradthes/4916

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


University of Tennessee – Knoxville

7. Watson, Trevor. An Analog CMOS Particle Filter.

Degree: MS, Electrical Engineering, 2017, University of Tennessee – Knoxville

  Particle filters are used in a variety of image processing and machine learning applications. Their main use in these applications is to gather information… (more)

Subjects/Keywords: Analog; CMOS; Machine Learning; Electrical and Electronics; VLSI and Circuits, Embedded and Hardware Systems

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

APA (6th Edition):

Watson, T. (2017). An Analog CMOS Particle Filter. (Thesis). University of Tennessee – Knoxville. Retrieved from https://trace.tennessee.edu/utk_gradthes/4962

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):

Watson, Trevor. “An Analog CMOS Particle Filter.” 2017. Thesis, University of Tennessee – Knoxville. Accessed December 09, 2019. https://trace.tennessee.edu/utk_gradthes/4962.

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

MLA Handbook (7th Edition):

Watson, Trevor. “An Analog CMOS Particle Filter.” 2017. Web. 09 Dec 2019.

Vancouver:

Watson T. An Analog CMOS Particle Filter. [Internet] [Thesis]. University of Tennessee – Knoxville; 2017. [cited 2019 Dec 09]. Available from: https://trace.tennessee.edu/utk_gradthes/4962.

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

Council of Science Editors:

Watson T. An Analog CMOS Particle Filter. [Thesis]. University of Tennessee – Knoxville; 2017. Available from: https://trace.tennessee.edu/utk_gradthes/4962

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


University of Tennessee – Knoxville

8. Wyer, Austin Richard. The Synthesis of Memristive Neuromorphic Circuits.

Degree: MS, Computer Science, 2017, University of Tennessee – Knoxville

  As Moores Law has come to a halt, it has become necessary to explore alternative forms of computation that are not limited in the… (more)

Subjects/Keywords: Neuromorphic; memristor; neural network; Artificial Intelligence and Robotics

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

APA (6th Edition):

Wyer, A. R. (2017). The Synthesis of Memristive Neuromorphic Circuits. (Thesis). University of Tennessee – Knoxville. Retrieved from https://trace.tennessee.edu/utk_gradthes/4963

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):

Wyer, Austin Richard. “The Synthesis of Memristive Neuromorphic Circuits.” 2017. Thesis, University of Tennessee – Knoxville. Accessed December 09, 2019. https://trace.tennessee.edu/utk_gradthes/4963.

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

MLA Handbook (7th Edition):

Wyer, Austin Richard. “The Synthesis of Memristive Neuromorphic Circuits.” 2017. Web. 09 Dec 2019.

Vancouver:

Wyer AR. The Synthesis of Memristive Neuromorphic Circuits. [Internet] [Thesis]. University of Tennessee – Knoxville; 2017. [cited 2019 Dec 09]. Available from: https://trace.tennessee.edu/utk_gradthes/4963.

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

Council of Science Editors:

Wyer AR. The Synthesis of Memristive Neuromorphic Circuits. [Thesis]. University of Tennessee – Knoxville; 2017. Available from: https://trace.tennessee.edu/utk_gradthes/4963

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


University of Tennessee – Knoxville

9. Trout, Michael G. Modeling and Design of a Low-Level RF Control System for the Accumulator Ring at Spallation Neutron Source.

Degree: MS, Electrical Engineering, 2017, University of Tennessee – Knoxville

  Since its commissioning in 2006, Spallation Neutron Source (SNS) at Oak Ridge National Laboratory has greatly contributed to the field of neutron science, but… (more)

Subjects/Keywords: Control Systems; RF; FPGA; Spallation Neutron Source; ORNL; State-Space; Controls and Control Theory

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APA (6th Edition):

Trout, M. G. (2017). Modeling and Design of a Low-Level RF Control System for the Accumulator Ring at Spallation Neutron Source. (Thesis). University of Tennessee – Knoxville. Retrieved from https://trace.tennessee.edu/utk_gradthes/4907

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):

Trout, Michael G. “Modeling and Design of a Low-Level RF Control System for the Accumulator Ring at Spallation Neutron Source.” 2017. Thesis, University of Tennessee – Knoxville. Accessed December 09, 2019. https://trace.tennessee.edu/utk_gradthes/4907.

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

MLA Handbook (7th Edition):

Trout, Michael G. “Modeling and Design of a Low-Level RF Control System for the Accumulator Ring at Spallation Neutron Source.” 2017. Web. 09 Dec 2019.

Vancouver:

Trout MG. Modeling and Design of a Low-Level RF Control System for the Accumulator Ring at Spallation Neutron Source. [Internet] [Thesis]. University of Tennessee – Knoxville; 2017. [cited 2019 Dec 09]. Available from: https://trace.tennessee.edu/utk_gradthes/4907.

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

Council of Science Editors:

Trout MG. Modeling and Design of a Low-Level RF Control System for the Accumulator Ring at Spallation Neutron Source. [Thesis]. University of Tennessee – Knoxville; 2017. Available from: https://trace.tennessee.edu/utk_gradthes/4907

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

10. Ma, Rui. An Application of the Universal Verification Methodology.

Degree: MS, Computer Engineering, 2016, University of Tennessee – Knoxville

  The Universal Verification Methodology (UVM) package is an open-source SystemVerilog library, which is used to set up a class-based hierarchical testbench. UVM testbenches improve… (more)

Subjects/Keywords: UVM; testbench; DMA; simulation; Computer and Systems Architecture

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

APA (6th Edition):

Ma, R. (2016). An Application of the Universal Verification Methodology. (Thesis). University of Tennessee – Knoxville. Retrieved from https://trace.tennessee.edu/utk_gradthes/4054

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):

Ma, Rui. “An Application of the Universal Verification Methodology.” 2016. Thesis, University of Tennessee – Knoxville. Accessed December 09, 2019. https://trace.tennessee.edu/utk_gradthes/4054.

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

MLA Handbook (7th Edition):

Ma, Rui. “An Application of the Universal Verification Methodology.” 2016. Web. 09 Dec 2019.

Vancouver:

Ma R. An Application of the Universal Verification Methodology. [Internet] [Thesis]. University of Tennessee – Knoxville; 2016. [cited 2019 Dec 09]. Available from: https://trace.tennessee.edu/utk_gradthes/4054.

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

Council of Science Editors:

Ma R. An Application of the Universal Verification Methodology. [Thesis]. University of Tennessee – Knoxville; 2016. Available from: https://trace.tennessee.edu/utk_gradthes/4054

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

.