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You searched for +publisher:"Virginia Tech" +contributor:("Abbott, Amos L."). Showing records 1 – 30 of 82 total matches.

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Virginia Tech

1. Nagabushan, Naresh. Analyzing and Classifying Neural Dynamics from Intracranial Electroencephalography Signals in Brain-Computer Interface Applications.

Degree: MS, Electrical and Computer Engineering, 2019, Virginia Tech

 Brain-Computer Interfaces (BCIs) that rely on motor imagery currently allow subjects to control quad-copters, robotic arms, and computer cursors. Recent advancements have been made possible… (more)

Subjects/Keywords: Brain-Computer-Interface; iEEG; EEG; Classification

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APA (6th Edition):

Nagabushan, N. (2019). Analyzing and Classifying Neural Dynamics from Intracranial Electroencephalography Signals in Brain-Computer Interface Applications. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/90183

Chicago Manual of Style (16th Edition):

Nagabushan, Naresh. “Analyzing and Classifying Neural Dynamics from Intracranial Electroencephalography Signals in Brain-Computer Interface Applications.” 2019. Masters Thesis, Virginia Tech. Accessed August 20, 2019. http://hdl.handle.net/10919/90183.

MLA Handbook (7th Edition):

Nagabushan, Naresh. “Analyzing and Classifying Neural Dynamics from Intracranial Electroencephalography Signals in Brain-Computer Interface Applications.” 2019. Web. 20 Aug 2019.

Vancouver:

Nagabushan N. Analyzing and Classifying Neural Dynamics from Intracranial Electroencephalography Signals in Brain-Computer Interface Applications. [Internet] [Masters thesis]. Virginia Tech; 2019. [cited 2019 Aug 20]. Available from: http://hdl.handle.net/10919/90183.

Council of Science Editors:

Nagabushan N. Analyzing and Classifying Neural Dynamics from Intracranial Electroencephalography Signals in Brain-Computer Interface Applications. [Masters Thesis]. Virginia Tech; 2019. Available from: http://hdl.handle.net/10919/90183


Virginia Tech

2. Bruce, Jacob Robert. Mathematical Expression Detection and Segmentation in Document Images.

Degree: MS, Electrical and Computer Engineering, 2014, Virginia Tech

 Various document layout analysis techniques are employed in order to enhance the accuracy of optical character recognition (OCR) in document images. Type-specific document layout analysis… (more)

Subjects/Keywords: document layout analysis; optical character recognition; mathematical expression detection and segmentation; document image; type-specific layout analysis

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APA (6th Edition):

Bruce, J. R. (2014). Mathematical Expression Detection and Segmentation in Document Images. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/46724

Chicago Manual of Style (16th Edition):

Bruce, Jacob Robert. “Mathematical Expression Detection and Segmentation in Document Images.” 2014. Masters Thesis, Virginia Tech. Accessed August 20, 2019. http://hdl.handle.net/10919/46724.

MLA Handbook (7th Edition):

Bruce, Jacob Robert. “Mathematical Expression Detection and Segmentation in Document Images.” 2014. Web. 20 Aug 2019.

Vancouver:

Bruce JR. Mathematical Expression Detection and Segmentation in Document Images. [Internet] [Masters thesis]. Virginia Tech; 2014. [cited 2019 Aug 20]. Available from: http://hdl.handle.net/10919/46724.

Council of Science Editors:

Bruce JR. Mathematical Expression Detection and Segmentation in Document Images. [Masters Thesis]. Virginia Tech; 2014. Available from: http://hdl.handle.net/10919/46724


Virginia Tech

3. Pandit, Shuchi. Novel Architectures for Trace Buffer Design to facilitate Post-Silicon Validation and Test.

Degree: MS, Electrical and Computer Engineering, 2014, Virginia Tech

 Post-Silicon validation is playing an increasingly important role as more chips are failing in the functional mode due to either manufacturing defects escaped during scan-based… (more)

Subjects/Keywords: Trace Buffer Architecture; Signal Restoration; Invariants

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APA (6th Edition):

Pandit, S. (2014). Novel Architectures for Trace Buffer Design to facilitate Post-Silicon Validation and Test. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/49151

Chicago Manual of Style (16th Edition):

Pandit, Shuchi. “Novel Architectures for Trace Buffer Design to facilitate Post-Silicon Validation and Test.” 2014. Masters Thesis, Virginia Tech. Accessed August 20, 2019. http://hdl.handle.net/10919/49151.

MLA Handbook (7th Edition):

Pandit, Shuchi. “Novel Architectures for Trace Buffer Design to facilitate Post-Silicon Validation and Test.” 2014. Web. 20 Aug 2019.

Vancouver:

Pandit S. Novel Architectures for Trace Buffer Design to facilitate Post-Silicon Validation and Test. [Internet] [Masters thesis]. Virginia Tech; 2014. [cited 2019 Aug 20]. Available from: http://hdl.handle.net/10919/49151.

Council of Science Editors:

Pandit S. Novel Architectures for Trace Buffer Design to facilitate Post-Silicon Validation and Test. [Masters Thesis]. Virginia Tech; 2014. Available from: http://hdl.handle.net/10919/49151


Virginia Tech

4. Delport, Jacques. Synchronized Measurement of Machine Rotor Angle and Its Application.

Degree: MS, Electrical and Computer Engineering, 2015, Virginia Tech

 The internal voltage angle of a generator is an important parameter that indicates the stability, both transient and steady-state, of the generator. This paper proposes… (more)

Subjects/Keywords: Rotor Angle; Synchronization; Power System Stabilizer

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APA (6th Edition):

Delport, J. (2015). Synchronized Measurement of Machine Rotor Angle and Its Application. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/51242

Chicago Manual of Style (16th Edition):

Delport, Jacques. “Synchronized Measurement of Machine Rotor Angle and Its Application.” 2015. Masters Thesis, Virginia Tech. Accessed August 20, 2019. http://hdl.handle.net/10919/51242.

MLA Handbook (7th Edition):

Delport, Jacques. “Synchronized Measurement of Machine Rotor Angle and Its Application.” 2015. Web. 20 Aug 2019.

Vancouver:

Delport J. Synchronized Measurement of Machine Rotor Angle and Its Application. [Internet] [Masters thesis]. Virginia Tech; 2015. [cited 2019 Aug 20]. Available from: http://hdl.handle.net/10919/51242.

Council of Science Editors:

Delport J. Synchronized Measurement of Machine Rotor Angle and Its Application. [Masters Thesis]. Virginia Tech; 2015. Available from: http://hdl.handle.net/10919/51242


Virginia Tech

5. Hardman, Owen Russell. Optimizing a Network Layer Moving Target Defense by Translating Software from Python to C.

Degree: MS, Electrical and Computer Engineering, 2016, Virginia Tech

 The security of powerful systems and large networks is often addressed through complex defenses. While these types of defenses offer increased security, they are resource… (more)

Subjects/Keywords: IPv6; Moving Target Defense; Optimizing; Python; C

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APA (6th Edition):

Hardman, O. R. (2016). Optimizing a Network Layer Moving Target Defense by Translating Software from Python to C. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/64435

Chicago Manual of Style (16th Edition):

Hardman, Owen Russell. “Optimizing a Network Layer Moving Target Defense by Translating Software from Python to C.” 2016. Masters Thesis, Virginia Tech. Accessed August 20, 2019. http://hdl.handle.net/10919/64435.

MLA Handbook (7th Edition):

Hardman, Owen Russell. “Optimizing a Network Layer Moving Target Defense by Translating Software from Python to C.” 2016. Web. 20 Aug 2019.

Vancouver:

Hardman OR. Optimizing a Network Layer Moving Target Defense by Translating Software from Python to C. [Internet] [Masters thesis]. Virginia Tech; 2016. [cited 2019 Aug 20]. Available from: http://hdl.handle.net/10919/64435.

Council of Science Editors:

Hardman OR. Optimizing a Network Layer Moving Target Defense by Translating Software from Python to C. [Masters Thesis]. Virginia Tech; 2016. Available from: http://hdl.handle.net/10919/64435


Virginia Tech

6. Agrawal, Harsh. CloudCV: Deep Learning and Computer Vision on the Cloud.

Degree: MS, Electrical and Computer Engineering, 2016, Virginia Tech

 We are witnessing a proliferation of massive visual data. Visual content is arguably the fastest growing data on the web. Photo-sharing websites like Flickr and… (more)

Subjects/Keywords: Deep Learning; Computer Vision; Cloud Computing

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APA (6th Edition):

Agrawal, H. (2016). CloudCV: Deep Learning and Computer Vision on the Cloud. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/71381

Chicago Manual of Style (16th Edition):

Agrawal, Harsh. “CloudCV: Deep Learning and Computer Vision on the Cloud.” 2016. Masters Thesis, Virginia Tech. Accessed August 20, 2019. http://hdl.handle.net/10919/71381.

MLA Handbook (7th Edition):

Agrawal, Harsh. “CloudCV: Deep Learning and Computer Vision on the Cloud.” 2016. Web. 20 Aug 2019.

Vancouver:

Agrawal H. CloudCV: Deep Learning and Computer Vision on the Cloud. [Internet] [Masters thesis]. Virginia Tech; 2016. [cited 2019 Aug 20]. Available from: http://hdl.handle.net/10919/71381.

Council of Science Editors:

Agrawal H. CloudCV: Deep Learning and Computer Vision on the Cloud. [Masters Thesis]. Virginia Tech; 2016. Available from: http://hdl.handle.net/10919/71381


Virginia Tech

7. Bala, Divya Chandrakant. Cell Phenotype Analyzer: Automated Techniques for Cell Phenotyping using Contactless Dielectrophoresis.

Degree: MS, Electrical and Computer Engineering, 2016, Virginia Tech

 Cancer is among the leading causes of death worldwide. In 2012, there were 14 million new cases and 8.2 million cancer-related deaths worldwide. The number… (more)

Subjects/Keywords: Cell Phenotype; Computer Vision; Dielectrophoresis

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APA (6th Edition):

Bala, D. C. (2016). Cell Phenotype Analyzer: Automated Techniques for Cell Phenotyping using Contactless Dielectrophoresis. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/71428

Chicago Manual of Style (16th Edition):

Bala, Divya Chandrakant. “Cell Phenotype Analyzer: Automated Techniques for Cell Phenotyping using Contactless Dielectrophoresis.” 2016. Masters Thesis, Virginia Tech. Accessed August 20, 2019. http://hdl.handle.net/10919/71428.

MLA Handbook (7th Edition):

Bala, Divya Chandrakant. “Cell Phenotype Analyzer: Automated Techniques for Cell Phenotyping using Contactless Dielectrophoresis.” 2016. Web. 20 Aug 2019.

Vancouver:

Bala DC. Cell Phenotype Analyzer: Automated Techniques for Cell Phenotyping using Contactless Dielectrophoresis. [Internet] [Masters thesis]. Virginia Tech; 2016. [cited 2019 Aug 20]. Available from: http://hdl.handle.net/10919/71428.

Council of Science Editors:

Bala DC. Cell Phenotype Analyzer: Automated Techniques for Cell Phenotyping using Contactless Dielectrophoresis. [Masters Thesis]. Virginia Tech; 2016. Available from: http://hdl.handle.net/10919/71428


Virginia Tech

8. Gaddam, Shravya. Design and Implementation of PUF Based Protocols for Remote Integrity Verification.

Degree: MS, Electrical and Computer Engineering, 2016, Virginia Tech

 In recent years, there has been a drastic increase in the prevalence of counterfeiting within the electronics supply chain. At the same time, high-end commercial… (more)

Subjects/Keywords: Physical Unclonable Functions; ECDSA; Elliptic Curve Cryptography; Fuzzy Extraction; Strong Extraction

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APA (6th Edition):

Gaddam, S. (2016). Design and Implementation of PUF Based Protocols for Remote Integrity Verification. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/71865

Chicago Manual of Style (16th Edition):

Gaddam, Shravya. “Design and Implementation of PUF Based Protocols for Remote Integrity Verification.” 2016. Masters Thesis, Virginia Tech. Accessed August 20, 2019. http://hdl.handle.net/10919/71865.

MLA Handbook (7th Edition):

Gaddam, Shravya. “Design and Implementation of PUF Based Protocols for Remote Integrity Verification.” 2016. Web. 20 Aug 2019.

Vancouver:

Gaddam S. Design and Implementation of PUF Based Protocols for Remote Integrity Verification. [Internet] [Masters thesis]. Virginia Tech; 2016. [cited 2019 Aug 20]. Available from: http://hdl.handle.net/10919/71865.

Council of Science Editors:

Gaddam S. Design and Implementation of PUF Based Protocols for Remote Integrity Verification. [Masters Thesis]. Virginia Tech; 2016. Available from: http://hdl.handle.net/10919/71865


Virginia Tech

9. Harekoppa, Pooja Puttaswamygowda. Application of Computer Vision Techniques for Railroad Inspection using UAVs.

Degree: MS, Electrical and Computer Engineering, 2016, Virginia Tech

 The task of railroad inspection is a tedious one. It requires a lot of skilled experts and long hours of frequent on-field inspection. Automated ground… (more)

Subjects/Keywords: Computer Vision; Machine Learning; Railroad inspection; Unmanned Aerial Vehicle (UAV)

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APA (6th Edition):

Harekoppa, P. P. (2016). Application of Computer Vision Techniques for Railroad Inspection using UAVs. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/72273

Chicago Manual of Style (16th Edition):

Harekoppa, Pooja Puttaswamygowda. “Application of Computer Vision Techniques for Railroad Inspection using UAVs.” 2016. Masters Thesis, Virginia Tech. Accessed August 20, 2019. http://hdl.handle.net/10919/72273.

MLA Handbook (7th Edition):

Harekoppa, Pooja Puttaswamygowda. “Application of Computer Vision Techniques for Railroad Inspection using UAVs.” 2016. Web. 20 Aug 2019.

Vancouver:

Harekoppa PP. Application of Computer Vision Techniques for Railroad Inspection using UAVs. [Internet] [Masters thesis]. Virginia Tech; 2016. [cited 2019 Aug 20]. Available from: http://hdl.handle.net/10919/72273.

Council of Science Editors:

Harekoppa PP. Application of Computer Vision Techniques for Railroad Inspection using UAVs. [Masters Thesis]. Virginia Tech; 2016. Available from: http://hdl.handle.net/10919/72273

10. Nogales, Chris Lorena. Robot Autonomous Fire Location using a Weighted Probability Algorithm.

Degree: MS, Electrical and Computer Engineering, 2016, Virginia Tech

 Finding a fire inside of a structure without knowing its conditions poses a dangerous threat to the safety of firefighters. As a result, robots are… (more)

Subjects/Keywords: autonomy; perception; machine learning; firefighting robot

Page 1

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APA (6th Edition):

Nogales, C. L. (2016). Robot Autonomous Fire Location using a Weighted Probability Algorithm. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/73360

Chicago Manual of Style (16th Edition):

Nogales, Chris Lorena. “Robot Autonomous Fire Location using a Weighted Probability Algorithm.” 2016. Masters Thesis, Virginia Tech. Accessed August 20, 2019. http://hdl.handle.net/10919/73360.

MLA Handbook (7th Edition):

Nogales, Chris Lorena. “Robot Autonomous Fire Location using a Weighted Probability Algorithm.” 2016. Web. 20 Aug 2019.

Vancouver:

Nogales CL. Robot Autonomous Fire Location using a Weighted Probability Algorithm. [Internet] [Masters thesis]. Virginia Tech; 2016. [cited 2019 Aug 20]. Available from: http://hdl.handle.net/10919/73360.

Council of Science Editors:

Nogales CL. Robot Autonomous Fire Location using a Weighted Probability Algorithm. [Masters Thesis]. Virginia Tech; 2016. Available from: http://hdl.handle.net/10919/73360


Virginia Tech

11. Marcellino, Brendan Adrian. Partitioning Strategies to Enhance Symbolic Execution.

Degree: MS, Electrical and Computer Engineering, 2015, Virginia Tech

 Software testing is a fundamental part of the software development process. However, testing is still costly and consumes about half of the development cost. The… (more)

Subjects/Keywords: Symbolic Execution; Software Testing; Static Analysis; Partitioning Strategies

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APA (6th Edition):

Marcellino, B. A. (2015). Partitioning Strategies to Enhance Symbolic Execution. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/74883

Chicago Manual of Style (16th Edition):

Marcellino, Brendan Adrian. “Partitioning Strategies to Enhance Symbolic Execution.” 2015. Masters Thesis, Virginia Tech. Accessed August 20, 2019. http://hdl.handle.net/10919/74883.

MLA Handbook (7th Edition):

Marcellino, Brendan Adrian. “Partitioning Strategies to Enhance Symbolic Execution.” 2015. Web. 20 Aug 2019.

Vancouver:

Marcellino BA. Partitioning Strategies to Enhance Symbolic Execution. [Internet] [Masters thesis]. Virginia Tech; 2015. [cited 2019 Aug 20]. Available from: http://hdl.handle.net/10919/74883.

Council of Science Editors:

Marcellino BA. Partitioning Strategies to Enhance Symbolic Execution. [Masters Thesis]. Virginia Tech; 2015. Available from: http://hdl.handle.net/10919/74883


Virginia Tech

12. Agrawal, Akash. Static Analysis to improve RTL Verification.

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

 Integrated circuits have traveled a long way from being a general purpose microprocessor to an application specific circuit. It has become an integral part of… (more)

Subjects/Keywords: Static Analysis; ATPG; Verification; Reachability Analysis

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APA (6th Edition):

Agrawal, A. (2017). Static Analysis to improve RTL Verification. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/75293

Chicago Manual of Style (16th Edition):

Agrawal, Akash. “Static Analysis to improve RTL Verification.” 2017. Masters Thesis, Virginia Tech. Accessed August 20, 2019. http://hdl.handle.net/10919/75293.

MLA Handbook (7th Edition):

Agrawal, Akash. “Static Analysis to improve RTL Verification.” 2017. Web. 20 Aug 2019.

Vancouver:

Agrawal A. Static Analysis to improve RTL Verification. [Internet] [Masters thesis]. Virginia Tech; 2017. [cited 2019 Aug 20]. Available from: http://hdl.handle.net/10919/75293.

Council of Science Editors:

Agrawal A. Static Analysis to improve RTL Verification. [Masters Thesis]. Virginia Tech; 2017. Available from: http://hdl.handle.net/10919/75293


Virginia Tech

13. Ray, Arijit. The Art of Deep Connection - Towards Natural and Pragmatic Conversational Agent Interactions.

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

 As research in Artificial Intelligence (AI) advances, it is crucial to focus on having seamless communication between humans and machines in order to effectively accomplish… (more)

Subjects/Keywords: Computer Vision; Natural Language Processing; Conversational Agents; Chatbots; Deep Learning; Machine Learning; Artificial Intelligence

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APA (6th Edition):

Ray, A. (2017). The Art of Deep Connection - Towards Natural and Pragmatic Conversational Agent Interactions. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/78335

Chicago Manual of Style (16th Edition):

Ray, Arijit. “The Art of Deep Connection - Towards Natural and Pragmatic Conversational Agent Interactions.” 2017. Masters Thesis, Virginia Tech. Accessed August 20, 2019. http://hdl.handle.net/10919/78335.

MLA Handbook (7th Edition):

Ray, Arijit. “The Art of Deep Connection - Towards Natural and Pragmatic Conversational Agent Interactions.” 2017. Web. 20 Aug 2019.

Vancouver:

Ray A. The Art of Deep Connection - Towards Natural and Pragmatic Conversational Agent Interactions. [Internet] [Masters thesis]. Virginia Tech; 2017. [cited 2019 Aug 20]. Available from: http://hdl.handle.net/10919/78335.

Council of Science Editors:

Ray A. The Art of Deep Connection - Towards Natural and Pragmatic Conversational Agent Interactions. [Masters Thesis]. Virginia Tech; 2017. Available from: http://hdl.handle.net/10919/78335


Virginia Tech

14. Gondhalekar, Nahush Ramesh. Reinforcement Learning with Gaussian Processes for Unmanned Aerial Vehicle Navigation.

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

 We study the problem of Reinforcement Learning (RL) for Unmanned Aerial Vehicle (UAV) navigation with the smallest number of real world samples possible. This work… (more)

Subjects/Keywords: Reinforcement Learning; Gaussian Processes; Unmanned Aerial Vehicle Navigation

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APA (6th Edition):

Gondhalekar, N. R. (2017). Reinforcement Learning with Gaussian Processes for Unmanned Aerial Vehicle Navigation. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/78667

Chicago Manual of Style (16th Edition):

Gondhalekar, Nahush Ramesh. “Reinforcement Learning with Gaussian Processes for Unmanned Aerial Vehicle Navigation.” 2017. Masters Thesis, Virginia Tech. Accessed August 20, 2019. http://hdl.handle.net/10919/78667.

MLA Handbook (7th Edition):

Gondhalekar, Nahush Ramesh. “Reinforcement Learning with Gaussian Processes for Unmanned Aerial Vehicle Navigation.” 2017. Web. 20 Aug 2019.

Vancouver:

Gondhalekar NR. Reinforcement Learning with Gaussian Processes for Unmanned Aerial Vehicle Navigation. [Internet] [Masters thesis]. Virginia Tech; 2017. [cited 2019 Aug 20]. Available from: http://hdl.handle.net/10919/78667.

Council of Science Editors:

Gondhalekar NR. Reinforcement Learning with Gaussian Processes for Unmanned Aerial Vehicle Navigation. [Masters Thesis]. Virginia Tech; 2017. Available from: http://hdl.handle.net/10919/78667


Virginia Tech

15. Pradeep, Subramanian. A Computer-Aided Framework for Cell Phenotype Identification, Analysis and Classification.

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

 Cancer is arguably one of the most dangerous diseases and the major causes of death in the modern day. It becomes increasingly harder to treat… (more)

Subjects/Keywords: Computer Vision; Machine Learning; Cell Elasticity; Cell Phenotype

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APA (6th Edition):

Pradeep, S. (2017). A Computer-Aided Framework for Cell Phenotype Identification, Analysis and Classification. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/78859

Chicago Manual of Style (16th Edition):

Pradeep, Subramanian. “A Computer-Aided Framework for Cell Phenotype Identification, Analysis and Classification.” 2017. Masters Thesis, Virginia Tech. Accessed August 20, 2019. http://hdl.handle.net/10919/78859.

MLA Handbook (7th Edition):

Pradeep, Subramanian. “A Computer-Aided Framework for Cell Phenotype Identification, Analysis and Classification.” 2017. Web. 20 Aug 2019.

Vancouver:

Pradeep S. A Computer-Aided Framework for Cell Phenotype Identification, Analysis and Classification. [Internet] [Masters thesis]. Virginia Tech; 2017. [cited 2019 Aug 20]. Available from: http://hdl.handle.net/10919/78859.

Council of Science Editors:

Pradeep S. A Computer-Aided Framework for Cell Phenotype Identification, Analysis and Classification. [Masters Thesis]. Virginia Tech; 2017. Available from: http://hdl.handle.net/10919/78859


Virginia Tech

16. Freeman, William John. Digital Video Stabilization with Inertial Fusion.

Degree: MS, Electrical and Computer Engineering, 2013, Virginia Tech

 As computing power becomes more and more available, robotic systems are moving away from active sensors for environmental awareness and transitioning into passive vision sensors.… (more)

Subjects/Keywords: Image Stabilization; Kalman Filter; Inertial Fusion

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APA (6th Edition):

Freeman, W. J. (2013). Digital Video Stabilization with Inertial Fusion. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/23080

Chicago Manual of Style (16th Edition):

Freeman, William John. “Digital Video Stabilization with Inertial Fusion.” 2013. Masters Thesis, Virginia Tech. Accessed August 20, 2019. http://hdl.handle.net/10919/23080.

MLA Handbook (7th Edition):

Freeman, William John. “Digital Video Stabilization with Inertial Fusion.” 2013. Web. 20 Aug 2019.

Vancouver:

Freeman WJ. Digital Video Stabilization with Inertial Fusion. [Internet] [Masters thesis]. Virginia Tech; 2013. [cited 2019 Aug 20]. Available from: http://hdl.handle.net/10919/23080.

Council of Science Editors:

Freeman WJ. Digital Video Stabilization with Inertial Fusion. [Masters Thesis]. Virginia Tech; 2013. Available from: http://hdl.handle.net/10919/23080


Virginia Tech

17. Murali, Dilip Venkateswaran. Verification of Cyber Physical Systems.

Degree: MS, Electrical and Computer Engineering, 2013, Virginia Tech

 Due to the increasing complexity of today\'s cyber-physical systems, defects become inevitable and harder to detect. The complexity of such software is generally huge, with… (more)

Subjects/Keywords: Invariants detection; Symbolic Execution; KLEE; Cloud9; VCC

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APA (6th Edition):

Murali, D. V. (2013). Verification of Cyber Physical Systems. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/23824

Chicago Manual of Style (16th Edition):

Murali, Dilip Venkateswaran. “Verification of Cyber Physical Systems.” 2013. Masters Thesis, Virginia Tech. Accessed August 20, 2019. http://hdl.handle.net/10919/23824.

MLA Handbook (7th Edition):

Murali, Dilip Venkateswaran. “Verification of Cyber Physical Systems.” 2013. Web. 20 Aug 2019.

Vancouver:

Murali DV. Verification of Cyber Physical Systems. [Internet] [Masters thesis]. Virginia Tech; 2013. [cited 2019 Aug 20]. Available from: http://hdl.handle.net/10919/23824.

Council of Science Editors:

Murali DV. Verification of Cyber Physical Systems. [Masters Thesis]. Virginia Tech; 2013. Available from: http://hdl.handle.net/10919/23824


Virginia Tech

18. DiMarco, Peter Lewis. Evaluation of Moving Target IPv6 Defense and Distributed Denial of Service Defenses.

Degree: MS, Electrical and Computer Engineering, 2013, Virginia Tech

 A Denial-of-Service (DoS) attack is a network attack from a single machine that attempts to prevent the victim, the targeted machine, from communicating to other… (more)

Subjects/Keywords: IPv6; DDoS; Security

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APA (6th Edition):

DiMarco, P. L. (2013). Evaluation of Moving Target IPv6 Defense and Distributed Denial of Service Defenses. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/24697

Chicago Manual of Style (16th Edition):

DiMarco, Peter Lewis. “Evaluation of Moving Target IPv6 Defense and Distributed Denial of Service Defenses.” 2013. Masters Thesis, Virginia Tech. Accessed August 20, 2019. http://hdl.handle.net/10919/24697.

MLA Handbook (7th Edition):

DiMarco, Peter Lewis. “Evaluation of Moving Target IPv6 Defense and Distributed Denial of Service Defenses.” 2013. Web. 20 Aug 2019.

Vancouver:

DiMarco PL. Evaluation of Moving Target IPv6 Defense and Distributed Denial of Service Defenses. [Internet] [Masters thesis]. Virginia Tech; 2013. [cited 2019 Aug 20]. Available from: http://hdl.handle.net/10919/24697.

Council of Science Editors:

DiMarco PL. Evaluation of Moving Target IPv6 Defense and Distributed Denial of Service Defenses. [Masters Thesis]. Virginia Tech; 2013. Available from: http://hdl.handle.net/10919/24697


Virginia Tech

19. Munagani, Indira Priya Darshini. Mining Rare Features in Fingerprints using Core points and Triplet-based Features.

Degree: MS, Electrical and Computer Engineering, 2014, Virginia Tech

 A fingerprint matching algorithm with a novel set of matching parameters based on core points and triangular descriptors is proposed to discover rarity in fingerprints.… (more)

Subjects/Keywords: Fingerprints; Rare Features; Rarity; Latent; Core Points; Triplets; GPU

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APA (6th Edition):

Munagani, I. P. D. (2014). Mining Rare Features in Fingerprints using Core points and Triplet-based Features. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/24784

Chicago Manual of Style (16th Edition):

Munagani, Indira Priya Darshini. “Mining Rare Features in Fingerprints using Core points and Triplet-based Features.” 2014. Masters Thesis, Virginia Tech. Accessed August 20, 2019. http://hdl.handle.net/10919/24784.

MLA Handbook (7th Edition):

Munagani, Indira Priya Darshini. “Mining Rare Features in Fingerprints using Core points and Triplet-based Features.” 2014. Web. 20 Aug 2019.

Vancouver:

Munagani IPD. Mining Rare Features in Fingerprints using Core points and Triplet-based Features. [Internet] [Masters thesis]. Virginia Tech; 2014. [cited 2019 Aug 20]. Available from: http://hdl.handle.net/10919/24784.

Council of Science Editors:

Munagani IPD. Mining Rare Features in Fingerprints using Core points and Triplet-based Features. [Masters Thesis]. Virginia Tech; 2014. Available from: http://hdl.handle.net/10919/24784


Virginia Tech

20. Cristy, John Oliver. VText: A Plug-in Extension to Add Electronic Textbook Functionality to Microsoft OneNote.

Degree: MS, Electrical and Computer Engineering, 2014, Virginia Tech

 Electronic textbooks are different from ebooks (electronic books) in that they allow the user to go beyond just reading material on a computer screen. Electronic… (more)

Subjects/Keywords: Tablet; Electronic Textbook; Active Learning; Microsoft OneNote

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APA (6th Edition):

Cristy, J. O. (2014). VText: A Plug-in Extension to Add Electronic Textbook Functionality to Microsoft OneNote. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/25154

Chicago Manual of Style (16th Edition):

Cristy, John Oliver. “VText: A Plug-in Extension to Add Electronic Textbook Functionality to Microsoft OneNote.” 2014. Masters Thesis, Virginia Tech. Accessed August 20, 2019. http://hdl.handle.net/10919/25154.

MLA Handbook (7th Edition):

Cristy, John Oliver. “VText: A Plug-in Extension to Add Electronic Textbook Functionality to Microsoft OneNote.” 2014. Web. 20 Aug 2019.

Vancouver:

Cristy JO. VText: A Plug-in Extension to Add Electronic Textbook Functionality to Microsoft OneNote. [Internet] [Masters thesis]. Virginia Tech; 2014. [cited 2019 Aug 20]. Available from: http://hdl.handle.net/10919/25154.

Council of Science Editors:

Cristy JO. VText: A Plug-in Extension to Add Electronic Textbook Functionality to Microsoft OneNote. [Masters Thesis]. Virginia Tech; 2014. Available from: http://hdl.handle.net/10919/25154


Virginia Tech

21. Kashyap, Aditya. Computationally Efficient Methods for Detection and Localization of a Chirp Signal.

Degree: MS, Electrical Engineering, 2019, Virginia Tech

 In this thesis, a computationally efficient method for detecting a whistle and capturing it using a 4 microphone array is proposed. Furthermore, methods are developed… (more)

Subjects/Keywords: Microphone Array; Chirp Detection and Localization; Computationally Efficient

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APA (6th Edition):

Kashyap, A. (2019). Computationally Efficient Methods for Detection and Localization of a Chirp Signal. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/87586

Chicago Manual of Style (16th Edition):

Kashyap, Aditya. “Computationally Efficient Methods for Detection and Localization of a Chirp Signal.” 2019. Masters Thesis, Virginia Tech. Accessed August 20, 2019. http://hdl.handle.net/10919/87586.

MLA Handbook (7th Edition):

Kashyap, Aditya. “Computationally Efficient Methods for Detection and Localization of a Chirp Signal.” 2019. Web. 20 Aug 2019.

Vancouver:

Kashyap A. Computationally Efficient Methods for Detection and Localization of a Chirp Signal. [Internet] [Masters thesis]. Virginia Tech; 2019. [cited 2019 Aug 20]. Available from: http://hdl.handle.net/10919/87586.

Council of Science Editors:

Kashyap A. Computationally Efficient Methods for Detection and Localization of a Chirp Signal. [Masters Thesis]. Virginia Tech; 2019. Available from: http://hdl.handle.net/10919/87586


Virginia Tech

22. Arefiyan Khalilabad, Seyyed Mostafa. Deep Learning Models for Context-Aware Object Detection.

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

 In this thesis, we present ContextNet, a novel general object detection framework for incorporating context cues into a detection pipeline. Current deep learning methods for… (more)

Subjects/Keywords: Context-aware Detection; Object Detection; Context Modeling; Context Extraction; Convolutional Neural Network; Computer Vision; Deep Learning; Machine Learning

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APA (6th Edition):

Arefiyan Khalilabad, S. M. (2017). Deep Learning Models for Context-Aware Object Detection. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/88387

Chicago Manual of Style (16th Edition):

Arefiyan Khalilabad, Seyyed Mostafa. “Deep Learning Models for Context-Aware Object Detection.” 2017. Masters Thesis, Virginia Tech. Accessed August 20, 2019. http://hdl.handle.net/10919/88387.

MLA Handbook (7th Edition):

Arefiyan Khalilabad, Seyyed Mostafa. “Deep Learning Models for Context-Aware Object Detection.” 2017. Web. 20 Aug 2019.

Vancouver:

Arefiyan Khalilabad SM. Deep Learning Models for Context-Aware Object Detection. [Internet] [Masters thesis]. Virginia Tech; 2017. [cited 2019 Aug 20]. Available from: http://hdl.handle.net/10919/88387.

Council of Science Editors:

Arefiyan Khalilabad SM. Deep Learning Models for Context-Aware Object Detection. [Masters Thesis]. Virginia Tech; 2017. Available from: http://hdl.handle.net/10919/88387


Virginia Tech

23. Gupta, Prakriti. Spatio-Temporal Analysis of Urban Data and its Application for Smart Cities.

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

 With the advent of smart sensor devices and Internet of Things (IoT) in the rapid urbanizing cities, data is being generated, collected and analyzed to… (more)

Subjects/Keywords: Traffic Analysis; Electric Vehicle Charging Demand; Quantitative Criminology; Spatio-Temporal Analysis; Data Mining

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APA (6th Edition):

Gupta, P. (2017). Spatio-Temporal Analysis of Urban Data and its Application for Smart Cities. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/87418

Chicago Manual of Style (16th Edition):

Gupta, Prakriti. “Spatio-Temporal Analysis of Urban Data and its Application for Smart Cities.” 2017. Masters Thesis, Virginia Tech. Accessed August 20, 2019. http://hdl.handle.net/10919/87418.

MLA Handbook (7th Edition):

Gupta, Prakriti. “Spatio-Temporal Analysis of Urban Data and its Application for Smart Cities.” 2017. Web. 20 Aug 2019.

Vancouver:

Gupta P. Spatio-Temporal Analysis of Urban Data and its Application for Smart Cities. [Internet] [Masters thesis]. Virginia Tech; 2017. [cited 2019 Aug 20]. Available from: http://hdl.handle.net/10919/87418.

Council of Science Editors:

Gupta P. Spatio-Temporal Analysis of Urban Data and its Application for Smart Cities. [Masters Thesis]. Virginia Tech; 2017. Available from: http://hdl.handle.net/10919/87418


Virginia Tech

24. Smith, Evan McLean. A Collection of Computer Vision Algorithms Capable of Detecting Linear Infrastructure for the Purpose of UAV Control.

Degree: MS, Mechanical Engineering, 2016, Virginia Tech

 One of the major application areas for UAVs is the automated traversing and inspection of infrastructure. Much of this infrastructure is linear, such as roads,… (more)

Subjects/Keywords: autonomous navigation; computer vision; linear infrastructure; machine learning; unmanned aerial vehicle (UAV)

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APA (6th Edition):

Smith, E. M. (2016). A Collection of Computer Vision Algorithms Capable of Detecting Linear Infrastructure for the Purpose of UAV Control. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/81448

Chicago Manual of Style (16th Edition):

Smith, Evan McLean. “A Collection of Computer Vision Algorithms Capable of Detecting Linear Infrastructure for the Purpose of UAV Control.” 2016. Masters Thesis, Virginia Tech. Accessed August 20, 2019. http://hdl.handle.net/10919/81448.

MLA Handbook (7th Edition):

Smith, Evan McLean. “A Collection of Computer Vision Algorithms Capable of Detecting Linear Infrastructure for the Purpose of UAV Control.” 2016. Web. 20 Aug 2019.

Vancouver:

Smith EM. A Collection of Computer Vision Algorithms Capable of Detecting Linear Infrastructure for the Purpose of UAV Control. [Internet] [Masters thesis]. Virginia Tech; 2016. [cited 2019 Aug 20]. Available from: http://hdl.handle.net/10919/81448.

Council of Science Editors:

Smith EM. A Collection of Computer Vision Algorithms Capable of Detecting Linear Infrastructure for the Purpose of UAV Control. [Masters Thesis]. Virginia Tech; 2016. Available from: http://hdl.handle.net/10919/81448


Virginia Tech

25. Bellam, Venkata Pavan Kumar. Efficient Community Detection for Large Scale Networks via Sub-sampling.

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

 Many real-world systems can be represented as network-graphs. Some of the networks have an inherent community structure based on interactions. The problem of identifying this… (more)

Subjects/Keywords: Spectral clustering; Extreme points; Sub-sampling; PABM

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APA (6th Edition):

Bellam, V. P. K. (2018). Efficient Community Detection for Large Scale Networks via Sub-sampling. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/81862

Chicago Manual of Style (16th Edition):

Bellam, Venkata Pavan Kumar. “Efficient Community Detection for Large Scale Networks via Sub-sampling.” 2018. Masters Thesis, Virginia Tech. Accessed August 20, 2019. http://hdl.handle.net/10919/81862.

MLA Handbook (7th Edition):

Bellam, Venkata Pavan Kumar. “Efficient Community Detection for Large Scale Networks via Sub-sampling.” 2018. Web. 20 Aug 2019.

Vancouver:

Bellam VPK. Efficient Community Detection for Large Scale Networks via Sub-sampling. [Internet] [Masters thesis]. Virginia Tech; 2018. [cited 2019 Aug 20]. Available from: http://hdl.handle.net/10919/81862.

Council of Science Editors:

Bellam VPK. Efficient Community Detection for Large Scale Networks via Sub-sampling. [Masters Thesis]. Virginia Tech; 2018. Available from: http://hdl.handle.net/10919/81862


Virginia Tech

26. Ghodrati, Marjan. Thwarting Electromagnetic Fault Injection Attack Utilizing Timing Attack Countermeasure.

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

 The extent of embedded systems' role in modern life has continuously increased over the years. Moreover, embedded systems are assuming highly critical functions with security… (more)

Subjects/Keywords: Electromagnetic Fault Injection; Countermeasure; Attack

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APA (6th Edition):

Ghodrati, M. (2018). Thwarting Electromagnetic Fault Injection Attack Utilizing Timing Attack Countermeasure. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/81906

Chicago Manual of Style (16th Edition):

Ghodrati, Marjan. “Thwarting Electromagnetic Fault Injection Attack Utilizing Timing Attack Countermeasure.” 2018. Masters Thesis, Virginia Tech. Accessed August 20, 2019. http://hdl.handle.net/10919/81906.

MLA Handbook (7th Edition):

Ghodrati, Marjan. “Thwarting Electromagnetic Fault Injection Attack Utilizing Timing Attack Countermeasure.” 2018. Web. 20 Aug 2019.

Vancouver:

Ghodrati M. Thwarting Electromagnetic Fault Injection Attack Utilizing Timing Attack Countermeasure. [Internet] [Masters thesis]. Virginia Tech; 2018. [cited 2019 Aug 20]. Available from: http://hdl.handle.net/10919/81906.

Council of Science Editors:

Ghodrati M. Thwarting Electromagnetic Fault Injection Attack Utilizing Timing Attack Countermeasure. [Masters Thesis]. Virginia Tech; 2018. Available from: http://hdl.handle.net/10919/81906


Virginia Tech

27. Kini, Akshatha Jagannath. Implementation of a Trusted I/O Processor on a Nascent SoC-FPGA Based Flight Controller for Unmanned Aerial Systems.

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

 Unmanned Aerial Systems (UAS) are aircraft without a human pilot on board. They are comprised of a ground-based autonomous or human operated control system, an… (more)

Subjects/Keywords: SoC; UAV; FPGA; ZYNQ; MicroBlaze; autopilot; ArduPilot; ArduPlane; GPS; Mission Planner; Sensor; Vulnerabilities; Mailbox

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APA (6th Edition):

Kini, A. J. (2018). Implementation of a Trusted I/O Processor on a Nascent SoC-FPGA Based Flight Controller for Unmanned Aerial Systems. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/82666

Chicago Manual of Style (16th Edition):

Kini, Akshatha Jagannath. “Implementation of a Trusted I/O Processor on a Nascent SoC-FPGA Based Flight Controller for Unmanned Aerial Systems.” 2018. Masters Thesis, Virginia Tech. Accessed August 20, 2019. http://hdl.handle.net/10919/82666.

MLA Handbook (7th Edition):

Kini, Akshatha Jagannath. “Implementation of a Trusted I/O Processor on a Nascent SoC-FPGA Based Flight Controller for Unmanned Aerial Systems.” 2018. Web. 20 Aug 2019.

Vancouver:

Kini AJ. Implementation of a Trusted I/O Processor on a Nascent SoC-FPGA Based Flight Controller for Unmanned Aerial Systems. [Internet] [Masters thesis]. Virginia Tech; 2018. [cited 2019 Aug 20]. Available from: http://hdl.handle.net/10919/82666.

Council of Science Editors:

Kini AJ. Implementation of a Trusted I/O Processor on a Nascent SoC-FPGA Based Flight Controller for Unmanned Aerial Systems. [Masters Thesis]. Virginia Tech; 2018. Available from: http://hdl.handle.net/10919/82666


Virginia Tech

28. Mohapatra, Akrit. Natural Language Driven Image Edits using a Semantic Image Manipulation Language.

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

 Language provides us with a powerful tool to articulate and express ourselves! Understanding and harnessing the expressions of natural language can open the doors to… (more)

Subjects/Keywords: Machine Learning; Natural language Processing; Computer Vision

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APA (6th Edition):

Mohapatra, A. (2018). Natural Language Driven Image Edits using a Semantic Image Manipulation Language. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/83452

Chicago Manual of Style (16th Edition):

Mohapatra, Akrit. “Natural Language Driven Image Edits using a Semantic Image Manipulation Language.” 2018. Masters Thesis, Virginia Tech. Accessed August 20, 2019. http://hdl.handle.net/10919/83452.

MLA Handbook (7th Edition):

Mohapatra, Akrit. “Natural Language Driven Image Edits using a Semantic Image Manipulation Language.” 2018. Web. 20 Aug 2019.

Vancouver:

Mohapatra A. Natural Language Driven Image Edits using a Semantic Image Manipulation Language. [Internet] [Masters thesis]. Virginia Tech; 2018. [cited 2019 Aug 20]. Available from: http://hdl.handle.net/10919/83452.

Council of Science Editors:

Mohapatra A. Natural Language Driven Image Edits using a Semantic Image Manipulation Language. [Masters Thesis]. Virginia Tech; 2018. Available from: http://hdl.handle.net/10919/83452


Virginia Tech

29. AlBahar, Badour A Sh A. Im2Vid: Future Video Prediction for Static Image Action Recognition.

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

 Static image action recognition aims at identifying the action performed in a given image. Most existing static image action recognition approaches use high-level cues present… (more)

Subjects/Keywords: Human Action Recognition; Static Image Action Recognition; Video Action Recognition; Future Video Prediction

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APA (6th Edition):

AlBahar, B. A. S. A. (2018). Im2Vid: Future Video Prediction for Static Image Action Recognition. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/83602

Chicago Manual of Style (16th Edition):

AlBahar, Badour A Sh A. “Im2Vid: Future Video Prediction for Static Image Action Recognition.” 2018. Masters Thesis, Virginia Tech. Accessed August 20, 2019. http://hdl.handle.net/10919/83602.

MLA Handbook (7th Edition):

AlBahar, Badour A Sh A. “Im2Vid: Future Video Prediction for Static Image Action Recognition.” 2018. Web. 20 Aug 2019.

Vancouver:

AlBahar BASA. Im2Vid: Future Video Prediction for Static Image Action Recognition. [Internet] [Masters thesis]. Virginia Tech; 2018. [cited 2019 Aug 20]. Available from: http://hdl.handle.net/10919/83602.

Council of Science Editors:

AlBahar BASA. Im2Vid: Future Video Prediction for Static Image Action Recognition. [Masters Thesis]. Virginia Tech; 2018. Available from: http://hdl.handle.net/10919/83602


Virginia Tech

30. Khanna, Tania. Guiding RTL Test Generation Using Relevant Potential Invariants.

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

 In this thesis, we propose to use relevant potential invariants in a simulation-based swarmintelligence-based test generation technique to generate relevant test vectors for design validation… (more)

Subjects/Keywords: Ant Colony Optimization; Potential Invariants; Branch Coverage; Verilator

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APA (6th Edition):

Khanna, T. (2018). Guiding RTL Test Generation Using Relevant Potential Invariants. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/84483

Chicago Manual of Style (16th Edition):

Khanna, Tania. “Guiding RTL Test Generation Using Relevant Potential Invariants.” 2018. Masters Thesis, Virginia Tech. Accessed August 20, 2019. http://hdl.handle.net/10919/84483.

MLA Handbook (7th Edition):

Khanna, Tania. “Guiding RTL Test Generation Using Relevant Potential Invariants.” 2018. Web. 20 Aug 2019.

Vancouver:

Khanna T. Guiding RTL Test Generation Using Relevant Potential Invariants. [Internet] [Masters thesis]. Virginia Tech; 2018. [cited 2019 Aug 20]. Available from: http://hdl.handle.net/10919/84483.

Council of Science Editors:

Khanna T. Guiding RTL Test Generation Using Relevant Potential Invariants. [Masters Thesis]. Virginia Tech; 2018. Available from: http://hdl.handle.net/10919/84483

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