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You searched for +publisher:"Georgia Tech" +contributor:("Wills, Linda"). Showing records 1 – 30 of 43 total matches.

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Georgia Tech

1. Nixon, Mason Earl. Utilization of auditory cues to enhance therapy for children with cerebral palsy.

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

 The objective of the research is to examine the impact of auditory stimulus on improving reaching performance in children with cerebral palsy. A form of… (more)

Subjects/Keywords: Upper extremity; Carebral palsy; Range of motion; Microsoft; Kinect; Rehabilitation; Auditory evoked response; Kinect (Programmable controller)

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APA (6th Edition):

Nixon, M. E. (2013). Utilization of auditory cues to enhance therapy for children with cerebral palsy. (Masters Thesis). Georgia Tech. Retrieved from http://hdl.handle.net/1853/51736

Chicago Manual of Style (16th Edition):

Nixon, Mason Earl. “Utilization of auditory cues to enhance therapy for children with cerebral palsy.” 2013. Masters Thesis, Georgia Tech. Accessed February 25, 2020. http://hdl.handle.net/1853/51736.

MLA Handbook (7th Edition):

Nixon, Mason Earl. “Utilization of auditory cues to enhance therapy for children with cerebral palsy.” 2013. Web. 25 Feb 2020.

Vancouver:

Nixon ME. Utilization of auditory cues to enhance therapy for children with cerebral palsy. [Internet] [Masters thesis]. Georgia Tech; 2013. [cited 2020 Feb 25]. Available from: http://hdl.handle.net/1853/51736.

Council of Science Editors:

Nixon ME. Utilization of auditory cues to enhance therapy for children with cerebral palsy. [Masters Thesis]. Georgia Tech; 2013. Available from: http://hdl.handle.net/1853/51736


Georgia Tech

2. Wu, Jiadong. Improving the throughput of novel cluster computing systems.

Degree: PhD, Electrical and Computer Engineering, 2015, Georgia Tech

 Traditional cluster computing systems such as the supercomputers are equipped with specially designed high-performance hardware, which escalates the manufacturing cost and the energy cost of… (more)

Subjects/Keywords: GPU; Hadoop; Computer cluster; Parallel computing

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APA (6th Edition):

Wu, J. (2015). Improving the throughput of novel cluster computing systems. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/53890

Chicago Manual of Style (16th Edition):

Wu, Jiadong. “Improving the throughput of novel cluster computing systems.” 2015. Doctoral Dissertation, Georgia Tech. Accessed February 25, 2020. http://hdl.handle.net/1853/53890.

MLA Handbook (7th Edition):

Wu, Jiadong. “Improving the throughput of novel cluster computing systems.” 2015. Web. 25 Feb 2020.

Vancouver:

Wu J. Improving the throughput of novel cluster computing systems. [Internet] [Doctoral dissertation]. Georgia Tech; 2015. [cited 2020 Feb 25]. Available from: http://hdl.handle.net/1853/53890.

Council of Science Editors:

Wu J. Improving the throughput of novel cluster computing systems. [Doctoral Dissertation]. Georgia Tech; 2015. Available from: http://hdl.handle.net/1853/53890


Georgia Tech

3. Azmat, Shoaib. Multilayer background modeling under occlusions for spatio-temporal scene analysis.

Degree: PhD, Electrical and Computer Engineering, 2014, Georgia Tech

 This dissertation presents an efficient multilayer background modeling approach to distinguish among midground objects, the objects whose existence occurs over varying time scales between the… (more)

Subjects/Keywords: Video surveillance; Multilayer background modeling; Adaptive background modeling; Temporal multimodal mean; Occlusion reasoning; Appearance model; Video summarization; Low-power integrated GPU; Embedded smart camera; Spatio-temporal scene analysis

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APA (6th Edition):

Azmat, S. (2014). Multilayer background modeling under occlusions for spatio-temporal scene analysis. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/54005

Chicago Manual of Style (16th Edition):

Azmat, Shoaib. “Multilayer background modeling under occlusions for spatio-temporal scene analysis.” 2014. Doctoral Dissertation, Georgia Tech. Accessed February 25, 2020. http://hdl.handle.net/1853/54005.

MLA Handbook (7th Edition):

Azmat, Shoaib. “Multilayer background modeling under occlusions for spatio-temporal scene analysis.” 2014. Web. 25 Feb 2020.

Vancouver:

Azmat S. Multilayer background modeling under occlusions for spatio-temporal scene analysis. [Internet] [Doctoral dissertation]. Georgia Tech; 2014. [cited 2020 Feb 25]. Available from: http://hdl.handle.net/1853/54005.

Council of Science Editors:

Azmat S. Multilayer background modeling under occlusions for spatio-temporal scene analysis. [Doctoral Dissertation]. Georgia Tech; 2014. Available from: http://hdl.handle.net/1853/54005


Georgia Tech

4. Spears, Anthony. Under-ice relative pose estimation and ice anomaly mapping with an unmanned underwater vehicle.

Degree: PhD, Electrical and Computer Engineering, 2015, Georgia Tech

 Under-ice regions in both the Arctic and Antarctica are of great interest to many domains of science including biology, climate science, and planetary science. Great… (more)

Subjects/Keywords: Under-ice; Unmanned; Computer vision; Relative pose; Antarctica; Icefin; VideoRay; Navigation; Mapping; Anomaly; Factor graph; Sensor fusion; Sonar; Camera

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APA (6th Edition):

Spears, A. (2015). Under-ice relative pose estimation and ice anomaly mapping with an unmanned underwater vehicle. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/56179

Chicago Manual of Style (16th Edition):

Spears, Anthony. “Under-ice relative pose estimation and ice anomaly mapping with an unmanned underwater vehicle.” 2015. Doctoral Dissertation, Georgia Tech. Accessed February 25, 2020. http://hdl.handle.net/1853/56179.

MLA Handbook (7th Edition):

Spears, Anthony. “Under-ice relative pose estimation and ice anomaly mapping with an unmanned underwater vehicle.” 2015. Web. 25 Feb 2020.

Vancouver:

Spears A. Under-ice relative pose estimation and ice anomaly mapping with an unmanned underwater vehicle. [Internet] [Doctoral dissertation]. Georgia Tech; 2015. [cited 2020 Feb 25]. Available from: http://hdl.handle.net/1853/56179.

Council of Science Editors:

Spears A. Under-ice relative pose estimation and ice anomaly mapping with an unmanned underwater vehicle. [Doctoral Dissertation]. Georgia Tech; 2015. Available from: http://hdl.handle.net/1853/56179


Georgia Tech

5. Collins, Michelle D. Design automation tools for a FPAA SoC and Its application in analog education.

Degree: PhD, Electrical and Computer Engineering, 2016, Georgia Tech

 The objective of this research is to emphasize the use of configurable and programmable mixed-signal architectures and a concomitant software suite in analog education. In… (more)

Subjects/Keywords: CAD tools; FPAA; Analog education; Engineering education; RASP tools

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APA (6th Edition):

Collins, M. D. (2016). Design automation tools for a FPAA SoC and Its application in analog education. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/56304

Chicago Manual of Style (16th Edition):

Collins, Michelle D. “Design automation tools for a FPAA SoC and Its application in analog education.” 2016. Doctoral Dissertation, Georgia Tech. Accessed February 25, 2020. http://hdl.handle.net/1853/56304.

MLA Handbook (7th Edition):

Collins, Michelle D. “Design automation tools for a FPAA SoC and Its application in analog education.” 2016. Web. 25 Feb 2020.

Vancouver:

Collins MD. Design automation tools for a FPAA SoC and Its application in analog education. [Internet] [Doctoral dissertation]. Georgia Tech; 2016. [cited 2020 Feb 25]. Available from: http://hdl.handle.net/1853/56304.

Council of Science Editors:

Collins MD. Design automation tools for a FPAA SoC and Its application in analog education. [Doctoral Dissertation]. Georgia Tech; 2016. Available from: http://hdl.handle.net/1853/56304


Georgia Tech

6. Danner, Jay C. Adaptive shadow removal for variable environmental conditions.

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

 The motivation for this research is to provide a quantitative model for improving shadow detection in arbitrary environments. Many computer vision applications extract foreground pixels… (more)

Subjects/Keywords: Shadow removal; Adaptation; Computer vision

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APA (6th Edition):

Danner, J. C. (2017). Adaptive shadow removal for variable environmental conditions. (Masters Thesis). Georgia Tech. Retrieved from http://hdl.handle.net/1853/59809

Chicago Manual of Style (16th Edition):

Danner, Jay C. “Adaptive shadow removal for variable environmental conditions.” 2017. Masters Thesis, Georgia Tech. Accessed February 25, 2020. http://hdl.handle.net/1853/59809.

MLA Handbook (7th Edition):

Danner, Jay C. “Adaptive shadow removal for variable environmental conditions.” 2017. Web. 25 Feb 2020.

Vancouver:

Danner JC. Adaptive shadow removal for variable environmental conditions. [Internet] [Masters thesis]. Georgia Tech; 2017. [cited 2020 Feb 25]. Available from: http://hdl.handle.net/1853/59809.

Council of Science Editors:

Danner JC. Adaptive shadow removal for variable environmental conditions. [Masters Thesis]. Georgia Tech; 2017. Available from: http://hdl.handle.net/1853/59809


Georgia Tech

7. Giardino, Michael Joseph. A Software Framework for Application-Guided Power-Aware Control Systems.

Degree: PhD, Electrical and Computer Engineering, 2019, Georgia Tech

 This dissertation describes a system for proactive management of power and performance trade-offs through greater cooperation between applications and hardware. To enable such a management… (more)

Subjects/Keywords: power-aware computing; operating systems; power-aware control systems; heterogeneous memory; heterogeneous computing; bumpless transfer; transient management; machine learning; q-learning; reinforcement learning; dynamic power management; linux

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APA (6th Edition):

Giardino, M. J. (2019). A Software Framework for Application-Guided Power-Aware Control Systems. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/61212

Chicago Manual of Style (16th Edition):

Giardino, Michael Joseph. “A Software Framework for Application-Guided Power-Aware Control Systems.” 2019. Doctoral Dissertation, Georgia Tech. Accessed February 25, 2020. http://hdl.handle.net/1853/61212.

MLA Handbook (7th Edition):

Giardino, Michael Joseph. “A Software Framework for Application-Guided Power-Aware Control Systems.” 2019. Web. 25 Feb 2020.

Vancouver:

Giardino MJ. A Software Framework for Application-Guided Power-Aware Control Systems. [Internet] [Doctoral dissertation]. Georgia Tech; 2019. [cited 2020 Feb 25]. Available from: http://hdl.handle.net/1853/61212.

Council of Science Editors:

Giardino MJ. A Software Framework for Application-Guided Power-Aware Control Systems. [Doctoral Dissertation]. Georgia Tech; 2019. Available from: http://hdl.handle.net/1853/61212


Georgia Tech

8. Jammula, Nagakishore. Parallel algorithms for enabling fast and scalable analysis of high-throughput sequencing datasets.

Degree: PhD, Electrical and Computer Engineering, 2019, Georgia Tech

 The objective of this research is to develop parallel algorithms for enabling fast and scalable analysis of large-scale high-throughput sequencing datasets. Genome of an organism… (more)

Subjects/Keywords: High-throughput sequencing; Parallel algorithms

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APA (6th Edition):

Jammula, N. (2019). Parallel algorithms for enabling fast and scalable analysis of high-throughput sequencing datasets. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/61740

Chicago Manual of Style (16th Edition):

Jammula, Nagakishore. “Parallel algorithms for enabling fast and scalable analysis of high-throughput sequencing datasets.” 2019. Doctoral Dissertation, Georgia Tech. Accessed February 25, 2020. http://hdl.handle.net/1853/61740.

MLA Handbook (7th Edition):

Jammula, Nagakishore. “Parallel algorithms for enabling fast and scalable analysis of high-throughput sequencing datasets.” 2019. Web. 25 Feb 2020.

Vancouver:

Jammula N. Parallel algorithms for enabling fast and scalable analysis of high-throughput sequencing datasets. [Internet] [Doctoral dissertation]. Georgia Tech; 2019. [cited 2020 Feb 25]. Available from: http://hdl.handle.net/1853/61740.

Council of Science Editors:

Jammula N. Parallel algorithms for enabling fast and scalable analysis of high-throughput sequencing datasets. [Doctoral Dissertation]. Georgia Tech; 2019. Available from: http://hdl.handle.net/1853/61740


Georgia Tech

9. English, Brittney Ann. A Physical Therapy System for Encouraging Specific Motion in Wrist Rehabilitation Exercises.

Degree: PhD, Electrical and Computer Engineering, 2018, Georgia Tech

 The objective this research is to design a passive therapy device with rehabilitation gaming suite that employs an adaptive algorithm that alters game play in… (more)

Subjects/Keywords: Rehabilitation Robotics

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APA (6th Edition):

English, B. A. (2018). A Physical Therapy System for Encouraging Specific Motion in Wrist Rehabilitation Exercises. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/62181

Chicago Manual of Style (16th Edition):

English, Brittney Ann. “A Physical Therapy System for Encouraging Specific Motion in Wrist Rehabilitation Exercises.” 2018. Doctoral Dissertation, Georgia Tech. Accessed February 25, 2020. http://hdl.handle.net/1853/62181.

MLA Handbook (7th Edition):

English, Brittney Ann. “A Physical Therapy System for Encouraging Specific Motion in Wrist Rehabilitation Exercises.” 2018. Web. 25 Feb 2020.

Vancouver:

English BA. A Physical Therapy System for Encouraging Specific Motion in Wrist Rehabilitation Exercises. [Internet] [Doctoral dissertation]. Georgia Tech; 2018. [cited 2020 Feb 25]. Available from: http://hdl.handle.net/1853/62181.

Council of Science Editors:

English BA. A Physical Therapy System for Encouraging Specific Motion in Wrist Rehabilitation Exercises. [Doctoral Dissertation]. Georgia Tech; 2018. Available from: http://hdl.handle.net/1853/62181


Georgia Tech

10. Zhang, Chuanji. Optimization of network resource allocation for software-defined data center networks.

Degree: PhD, Electrical and Computer Engineering, 2019, Georgia Tech

 As cloud computing and data center network flourishes, the network that was once designed to support traditional networking scenario must now satisfy new requirements to… (more)

Subjects/Keywords: Software-defined network; Data center network; Resource allocation

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APA (6th Edition):

Zhang, C. (2019). Optimization of network resource allocation for software-defined data center networks. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/62264

Chicago Manual of Style (16th Edition):

Zhang, Chuanji. “Optimization of network resource allocation for software-defined data center networks.” 2019. Doctoral Dissertation, Georgia Tech. Accessed February 25, 2020. http://hdl.handle.net/1853/62264.

MLA Handbook (7th Edition):

Zhang, Chuanji. “Optimization of network resource allocation for software-defined data center networks.” 2019. Web. 25 Feb 2020.

Vancouver:

Zhang C. Optimization of network resource allocation for software-defined data center networks. [Internet] [Doctoral dissertation]. Georgia Tech; 2019. [cited 2020 Feb 25]. Available from: http://hdl.handle.net/1853/62264.

Council of Science Editors:

Zhang C. Optimization of network resource allocation for software-defined data center networks. [Doctoral Dissertation]. Georgia Tech; 2019. Available from: http://hdl.handle.net/1853/62264


Georgia Tech

11. Bales, Michael Ryan. Illumination compensation in video surveillance analysis.

Degree: PhD, Electrical and Computer Engineering, 2011, Georgia Tech

 Problems in automated video surveillance analysis caused by illumination changes are explored, and solutions are presented. Controlled experiments are first conducted to measure the responses… (more)

Subjects/Keywords: Tracking; Color; Computer vision; Background model; BigBackground; Illumination change; Video surveillance; Lighting; Video recording Lighting

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APA (6th Edition):

Bales, M. R. (2011). Illumination compensation in video surveillance analysis. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/39535

Chicago Manual of Style (16th Edition):

Bales, Michael Ryan. “Illumination compensation in video surveillance analysis.” 2011. Doctoral Dissertation, Georgia Tech. Accessed February 25, 2020. http://hdl.handle.net/1853/39535.

MLA Handbook (7th Edition):

Bales, Michael Ryan. “Illumination compensation in video surveillance analysis.” 2011. Web. 25 Feb 2020.

Vancouver:

Bales MR. Illumination compensation in video surveillance analysis. [Internet] [Doctoral dissertation]. Georgia Tech; 2011. [cited 2020 Feb 25]. Available from: http://hdl.handle.net/1853/39535.

Council of Science Editors:

Bales MR. Illumination compensation in video surveillance analysis. [Doctoral Dissertation]. Georgia Tech; 2011. Available from: http://hdl.handle.net/1853/39535


Georgia Tech

12. Park, Hae Won. Robot learners: interactive instance-based learning with social robots.

Degree: PhD, Electrical and Computer Engineering, 2014, Georgia Tech

 On one hand, academic and industrial researchers have been developing and deploying robots that are used as educational tutors, mediators, and motivational tools. On the… (more)

Subjects/Keywords: Robotics; Socially assistive robotics; Case-based reasoning; Interactive machine learning; Touchscreen mobile device

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APA (6th Edition):

Park, H. W. (2014). Robot learners: interactive instance-based learning with social robots. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/53442

Chicago Manual of Style (16th Edition):

Park, Hae Won. “Robot learners: interactive instance-based learning with social robots.” 2014. Doctoral Dissertation, Georgia Tech. Accessed February 25, 2020. http://hdl.handle.net/1853/53442.

MLA Handbook (7th Edition):

Park, Hae Won. “Robot learners: interactive instance-based learning with social robots.” 2014. Web. 25 Feb 2020.

Vancouver:

Park HW. Robot learners: interactive instance-based learning with social robots. [Internet] [Doctoral dissertation]. Georgia Tech; 2014. [cited 2020 Feb 25]. Available from: http://hdl.handle.net/1853/53442.

Council of Science Editors:

Park HW. Robot learners: interactive instance-based learning with social robots. [Doctoral Dissertation]. Georgia Tech; 2014. Available from: http://hdl.handle.net/1853/53442

13. Ge, Bi. Detecting engagement levels for autism intervention therapy using RGB-D camera.

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

 Our motivation for this work is to develop an autonomous robot system that is able to perform autism intervention therapy. Autism spectrum disorder (ASD) is… (more)

Subjects/Keywords: Robotics; Autism; Machine learning

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APA (6th Edition):

Ge, B. (2016). Detecting engagement levels for autism intervention therapy using RGB-D camera. (Masters Thesis). Georgia Tech. Retrieved from http://hdl.handle.net/1853/55043

Chicago Manual of Style (16th Edition):

Ge, Bi. “Detecting engagement levels for autism intervention therapy using RGB-D camera.” 2016. Masters Thesis, Georgia Tech. Accessed February 25, 2020. http://hdl.handle.net/1853/55043.

MLA Handbook (7th Edition):

Ge, Bi. “Detecting engagement levels for autism intervention therapy using RGB-D camera.” 2016. Web. 25 Feb 2020.

Vancouver:

Ge B. Detecting engagement levels for autism intervention therapy using RGB-D camera. [Internet] [Masters thesis]. Georgia Tech; 2016. [cited 2020 Feb 25]. Available from: http://hdl.handle.net/1853/55043.

Council of Science Editors:

Ge B. Detecting engagement levels for autism intervention therapy using RGB-D camera. [Masters Thesis]. Georgia Tech; 2016. Available from: http://hdl.handle.net/1853/55043

14. Anger, Eric. Application-level modeling and analysis of time and energy for optimizing power-constrained extreme-scale applications.

Degree: PhD, Electrical and Computer Engineering, 2016, Georgia Tech

 The objective of the proposed research is to create a methodology for the modeling and characterization of extreme-scale applications operating within power limitations in order… (more)

Subjects/Keywords: Application modeling; Statistical models; System simulation; Macro-scale simulation; Energy modeling; Power modeling

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APA (6th Edition):

Anger, E. (2016). Application-level modeling and analysis of time and energy for optimizing power-constrained extreme-scale applications. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/56331

Chicago Manual of Style (16th Edition):

Anger, Eric. “Application-level modeling and analysis of time and energy for optimizing power-constrained extreme-scale applications.” 2016. Doctoral Dissertation, Georgia Tech. Accessed February 25, 2020. http://hdl.handle.net/1853/56331.

MLA Handbook (7th Edition):

Anger, Eric. “Application-level modeling and analysis of time and energy for optimizing power-constrained extreme-scale applications.” 2016. Web. 25 Feb 2020.

Vancouver:

Anger E. Application-level modeling and analysis of time and energy for optimizing power-constrained extreme-scale applications. [Internet] [Doctoral dissertation]. Georgia Tech; 2016. [cited 2020 Feb 25]. Available from: http://hdl.handle.net/1853/56331.

Council of Science Editors:

Anger E. Application-level modeling and analysis of time and energy for optimizing power-constrained extreme-scale applications. [Doctoral Dissertation]. Georgia Tech; 2016. Available from: http://hdl.handle.net/1853/56331

15. Martin, Patrick J. Motion description languages: from specification to execution.

Degree: PhD, Electrical and Computer Engineering, 2010, Georgia Tech

 Many emerging controls applications have seen increased operational complexity due to the deployment of embedded, networked systems that must interact with the physical environment. In… (more)

Subjects/Keywords: Hybrid systems; Optimal control; Motion description languages; Mobile robots; Robots Control systems; Algorithms

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APA (6th Edition):

Martin, P. J. (2010). Motion description languages: from specification to execution. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/33860

Chicago Manual of Style (16th Edition):

Martin, Patrick J. “Motion description languages: from specification to execution.” 2010. Doctoral Dissertation, Georgia Tech. Accessed February 25, 2020. http://hdl.handle.net/1853/33860.

MLA Handbook (7th Edition):

Martin, Patrick J. “Motion description languages: from specification to execution.” 2010. Web. 25 Feb 2020.

Vancouver:

Martin PJ. Motion description languages: from specification to execution. [Internet] [Doctoral dissertation]. Georgia Tech; 2010. [cited 2020 Feb 25]. Available from: http://hdl.handle.net/1853/33860.

Council of Science Editors:

Martin PJ. Motion description languages: from specification to execution. [Doctoral Dissertation]. Georgia Tech; 2010. Available from: http://hdl.handle.net/1853/33860

16. Brown, Douglas W. A prognostic health management based framework for fault-tolerant control.

Degree: PhD, Electrical and Computer Engineering, 2011, Georgia Tech

 The emergence of complex and autonomous systems, such as modern aircraft, unmanned aerial vehicles (UAVs) and automated industrial processes is driving the development and implementation… (more)

Subjects/Keywords: Diagnosis; Prognosis; Fault-tolerant control; Reconfigurable control; PHM; System failures (Engineering); Fault location (Engineering); Fault tolerance (Engineering); Reliability (Engineering)

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APA (6th Edition):

Brown, D. W. (2011). A prognostic health management based framework for fault-tolerant control. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/41132

Chicago Manual of Style (16th Edition):

Brown, Douglas W. “A prognostic health management based framework for fault-tolerant control.” 2011. Doctoral Dissertation, Georgia Tech. Accessed February 25, 2020. http://hdl.handle.net/1853/41132.

MLA Handbook (7th Edition):

Brown, Douglas W. “A prognostic health management based framework for fault-tolerant control.” 2011. Web. 25 Feb 2020.

Vancouver:

Brown DW. A prognostic health management based framework for fault-tolerant control. [Internet] [Doctoral dissertation]. Georgia Tech; 2011. [cited 2020 Feb 25]. Available from: http://hdl.handle.net/1853/41132.

Council of Science Editors:

Brown DW. A prognostic health management based framework for fault-tolerant control. [Doctoral Dissertation]. Georgia Tech; 2011. Available from: http://hdl.handle.net/1853/41132

17. Yu, Xiao. On contention management for data accesses in parallel and distributed systems.

Degree: PhD, Electrical and Computer Engineering, 2015, Georgia Tech

 Data access is an essential part of any program, and is especially critical to the performance of parallel computing systems. The objective of this work… (more)

Subjects/Keywords: Contention management; Parallel and distributed systems

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APA (6th Edition):

Yu, X. (2015). On contention management for data accesses in parallel and distributed systems. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/53514

Chicago Manual of Style (16th Edition):

Yu, Xiao. “On contention management for data accesses in parallel and distributed systems.” 2015. Doctoral Dissertation, Georgia Tech. Accessed February 25, 2020. http://hdl.handle.net/1853/53514.

MLA Handbook (7th Edition):

Yu, Xiao. “On contention management for data accesses in parallel and distributed systems.” 2015. Web. 25 Feb 2020.

Vancouver:

Yu X. On contention management for data accesses in parallel and distributed systems. [Internet] [Doctoral dissertation]. Georgia Tech; 2015. [cited 2020 Feb 25]. Available from: http://hdl.handle.net/1853/53514.

Council of Science Editors:

Yu X. On contention management for data accesses in parallel and distributed systems. [Doctoral Dissertation]. Georgia Tech; 2015. Available from: http://hdl.handle.net/1853/53514

18. Lee, Junghee. Many-core architecture for programmable hardware accelerator.

Degree: PhD, Electrical and Computer Engineering, 2013, Georgia Tech

 As the further development of single-core architectures faces seemingly insurmountable physical and technological limitations, computer designers have turned their attention to alternative approaches. One such… (more)

Subjects/Keywords: Hardware accelerator; Load-balancing; Networks-on-chip; Execution model; Graphics processing units; Computers

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APA (6th Edition):

Lee, J. (2013). Many-core architecture for programmable hardware accelerator. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/50319

Chicago Manual of Style (16th Edition):

Lee, Junghee. “Many-core architecture for programmable hardware accelerator.” 2013. Doctoral Dissertation, Georgia Tech. Accessed February 25, 2020. http://hdl.handle.net/1853/50319.

MLA Handbook (7th Edition):

Lee, Junghee. “Many-core architecture for programmable hardware accelerator.” 2013. Web. 25 Feb 2020.

Vancouver:

Lee J. Many-core architecture for programmable hardware accelerator. [Internet] [Doctoral dissertation]. Georgia Tech; 2013. [cited 2020 Feb 25]. Available from: http://hdl.handle.net/1853/50319.

Council of Science Editors:

Lee J. Many-core architecture for programmable hardware accelerator. [Doctoral Dissertation]. Georgia Tech; 2013. Available from: http://hdl.handle.net/1853/50319

19. Baek, Seungcheol. High-performance memory system architectures using data compression.

Degree: PhD, Electrical and Computer Engineering, 2014, Georgia Tech

 The Chip Multi-Processor (CMP) paradigm has cemented itself as the archetypal philosophy of future microprocessor design. Rapidly diminishing technology feature sizes have enabled the integration… (more)

Subjects/Keywords: Memory systems; Cache compression; Cache replacement; Hybrid DRAM/PCM; Data compression (Computer science); High performance computing; Computer storage devices; Cache memory

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APA (6th Edition):

Baek, S. (2014). High-performance memory system architectures using data compression. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/51863

Chicago Manual of Style (16th Edition):

Baek, Seungcheol. “High-performance memory system architectures using data compression.” 2014. Doctoral Dissertation, Georgia Tech. Accessed February 25, 2020. http://hdl.handle.net/1853/51863.

MLA Handbook (7th Edition):

Baek, Seungcheol. “High-performance memory system architectures using data compression.” 2014. Web. 25 Feb 2020.

Vancouver:

Baek S. High-performance memory system architectures using data compression. [Internet] [Doctoral dissertation]. Georgia Tech; 2014. [cited 2020 Feb 25]. Available from: http://hdl.handle.net/1853/51863.

Council of Science Editors:

Baek S. High-performance memory system architectures using data compression. [Doctoral Dissertation]. Georgia Tech; 2014. Available from: http://hdl.handle.net/1853/51863

20. Brooks, Douglas A. Towards quantifying upper-arm rehabilitation metrics for children through interaction with a humanoid robot.

Degree: PhD, Electrical and Computer Engineering, 2012, Georgia Tech

 The objective of this research effort is to further rehabilitation techniques for children by developing and validating the core technologies needed to integrate therapy instruction… (more)

Subjects/Keywords: Rehabilitation; Human-robot interaction; Robotics; Computer vision; Robots; Androids; Robotics in medicine

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APA (6th Edition):

Brooks, D. A. (2012). Towards quantifying upper-arm rehabilitation metrics for children through interaction with a humanoid robot. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/48970

Chicago Manual of Style (16th Edition):

Brooks, Douglas A. “Towards quantifying upper-arm rehabilitation metrics for children through interaction with a humanoid robot.” 2012. Doctoral Dissertation, Georgia Tech. Accessed February 25, 2020. http://hdl.handle.net/1853/48970.

MLA Handbook (7th Edition):

Brooks, Douglas A. “Towards quantifying upper-arm rehabilitation metrics for children through interaction with a humanoid robot.” 2012. Web. 25 Feb 2020.

Vancouver:

Brooks DA. Towards quantifying upper-arm rehabilitation metrics for children through interaction with a humanoid robot. [Internet] [Doctoral dissertation]. Georgia Tech; 2012. [cited 2020 Feb 25]. Available from: http://hdl.handle.net/1853/48970.

Council of Science Editors:

Brooks DA. Towards quantifying upper-arm rehabilitation metrics for children through interaction with a humanoid robot. [Doctoral Dissertation]. Georgia Tech; 2012. Available from: http://hdl.handle.net/1853/48970

21. Gray, Carl Edward. An fpga based architecture for native protocol testing of multi-gbps source-synchronous devices.

Degree: PhD, Electrical and Computer Engineering, 2012, Georgia Tech

 This thesis presents methods for developing FPGA-based test solutions that solve the challenges of evaluating source-synchronous and protocol-laden systems and devices at multi-gigabit per second… (more)

Subjects/Keywords: Test architecture; Digital systems; High-speed; Field programmable gate arrays; Gigabit communications; Digital communications Testing; Computer networks Testing

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APA (6th Edition):

Gray, C. E. (2012). An fpga based architecture for native protocol testing of multi-gbps source-synchronous devices. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/44858

Chicago Manual of Style (16th Edition):

Gray, Carl Edward. “An fpga based architecture for native protocol testing of multi-gbps source-synchronous devices.” 2012. Doctoral Dissertation, Georgia Tech. Accessed February 25, 2020. http://hdl.handle.net/1853/44858.

MLA Handbook (7th Edition):

Gray, Carl Edward. “An fpga based architecture for native protocol testing of multi-gbps source-synchronous devices.” 2012. Web. 25 Feb 2020.

Vancouver:

Gray CE. An fpga based architecture for native protocol testing of multi-gbps source-synchronous devices. [Internet] [Doctoral dissertation]. Georgia Tech; 2012. [cited 2020 Feb 25]. Available from: http://hdl.handle.net/1853/44858.

Council of Science Editors:

Gray CE. An fpga based architecture for native protocol testing of multi-gbps source-synchronous devices. [Doctoral Dissertation]. Georgia Tech; 2012. Available from: http://hdl.handle.net/1853/44858

22. Ogunmakin, Gbolabo. Automated vision-based generation of event statistics for decision support.

Degree: PhD, Electrical and Computer Engineering, 2016, Georgia Tech

 Many tasks require surveillance and analysis in order to make decisions regarding the next course of action. The people responsible for these tasks are usually… (more)

Subjects/Keywords: Computer vision; Automated surveillance

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APA (6th Edition):

Ogunmakin, G. (2016). Automated vision-based generation of event statistics for decision support. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/55023

Chicago Manual of Style (16th Edition):

Ogunmakin, Gbolabo. “Automated vision-based generation of event statistics for decision support.” 2016. Doctoral Dissertation, Georgia Tech. Accessed February 25, 2020. http://hdl.handle.net/1853/55023.

MLA Handbook (7th Edition):

Ogunmakin, Gbolabo. “Automated vision-based generation of event statistics for decision support.” 2016. Web. 25 Feb 2020.

Vancouver:

Ogunmakin G. Automated vision-based generation of event statistics for decision support. [Internet] [Doctoral dissertation]. Georgia Tech; 2016. [cited 2020 Feb 25]. Available from: http://hdl.handle.net/1853/55023.

Council of Science Editors:

Ogunmakin G. Automated vision-based generation of event statistics for decision support. [Doctoral Dissertation]. Georgia Tech; 2016. Available from: http://hdl.handle.net/1853/55023

23. Wu, Haicheng. Acceleration and execution of relational queries using general purpose graphics processing unit (GPGPU).

Degree: PhD, Electrical and Computer Engineering, 2015, Georgia Tech

 This thesis first maps the relational computation onto Graphics Processing Units (GPU)s by designing a series of tools and then explores the different opportunities of… (more)

Subjects/Keywords: Database; GPU

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APA (6th Edition):

Wu, H. (2015). Acceleration and execution of relational queries using general purpose graphics processing unit (GPGPU). (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/54405

Chicago Manual of Style (16th Edition):

Wu, Haicheng. “Acceleration and execution of relational queries using general purpose graphics processing unit (GPGPU).” 2015. Doctoral Dissertation, Georgia Tech. Accessed February 25, 2020. http://hdl.handle.net/1853/54405.

MLA Handbook (7th Edition):

Wu, Haicheng. “Acceleration and execution of relational queries using general purpose graphics processing unit (GPGPU).” 2015. Web. 25 Feb 2020.

Vancouver:

Wu H. Acceleration and execution of relational queries using general purpose graphics processing unit (GPGPU). [Internet] [Doctoral dissertation]. Georgia Tech; 2015. [cited 2020 Feb 25]. Available from: http://hdl.handle.net/1853/54405.

Council of Science Editors:

Wu H. Acceleration and execution of relational queries using general purpose graphics processing unit (GPGPU). [Doctoral Dissertation]. Georgia Tech; 2015. Available from: http://hdl.handle.net/1853/54405

24. Chen, Xinwei. Performance and power management for multi-core processors.

Degree: PhD, Electrical and Computer Engineering, 2018, Georgia Tech

 This dissertation addresses the problem of power and performance management for various computing systems, from single voltage island multicore processors to power constrained extreme scale… (more)

Subjects/Keywords: Performance and power management; Multi-core processors; Cloud systems; Power efficiency optimization; Feedback control

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APA (6th Edition):

Chen, X. (2018). Performance and power management for multi-core processors. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/59898

Chicago Manual of Style (16th Edition):

Chen, Xinwei. “Performance and power management for multi-core processors.” 2018. Doctoral Dissertation, Georgia Tech. Accessed February 25, 2020. http://hdl.handle.net/1853/59898.

MLA Handbook (7th Edition):

Chen, Xinwei. “Performance and power management for multi-core processors.” 2018. Web. 25 Feb 2020.

Vancouver:

Chen X. Performance and power management for multi-core processors. [Internet] [Doctoral dissertation]. Georgia Tech; 2018. [cited 2020 Feb 25]. Available from: http://hdl.handle.net/1853/59898.

Council of Science Editors:

Chen X. Performance and power management for multi-core processors. [Doctoral Dissertation]. Georgia Tech; 2018. Available from: http://hdl.handle.net/1853/59898

25. Ju, Qianao. Power management for Internet of battery-less things.

Degree: PhD, Electrical and Computer Engineering, 2018, Georgia Tech

 The objective of the thesis is to develop a resource management framework for Internet of Battery-less Things (IoBT). With the proliferation of Internet of Things… (more)

Subjects/Keywords: Energy harvesting; Internet of battery-less things; Resource management

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APA (6th Edition):

Ju, Q. (2018). Power management for Internet of battery-less things. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/60915

Chicago Manual of Style (16th Edition):

Ju, Qianao. “Power management for Internet of battery-less things.” 2018. Doctoral Dissertation, Georgia Tech. Accessed February 25, 2020. http://hdl.handle.net/1853/60915.

MLA Handbook (7th Edition):

Ju, Qianao. “Power management for Internet of battery-less things.” 2018. Web. 25 Feb 2020.

Vancouver:

Ju Q. Power management for Internet of battery-less things. [Internet] [Doctoral dissertation]. Georgia Tech; 2018. [cited 2020 Feb 25]. Available from: http://hdl.handle.net/1853/60915.

Council of Science Editors:

Ju Q. Power management for Internet of battery-less things. [Doctoral Dissertation]. Georgia Tech; 2018. Available from: http://hdl.handle.net/1853/60915

26. Valentine, Brian Evans. Embedded early vision techniques for efficient background modeling and midground detection.

Degree: PhD, Electrical and Computer Engineering, 2010, Georgia Tech

 An automated vision system performs critical tasks in video surveillance, while decreasing costs and increasing efficiency. It can provide high quality scene monitoring without the… (more)

Subjects/Keywords: Embedded processor; Computer vision; Computer vision; Video surveillance

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APA (6th Edition):

Valentine, B. E. (2010). Embedded early vision techniques for efficient background modeling and midground detection. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/33894

Chicago Manual of Style (16th Edition):

Valentine, Brian Evans. “Embedded early vision techniques for efficient background modeling and midground detection.” 2010. Doctoral Dissertation, Georgia Tech. Accessed February 25, 2020. http://hdl.handle.net/1853/33894.

MLA Handbook (7th Edition):

Valentine, Brian Evans. “Embedded early vision techniques for efficient background modeling and midground detection.” 2010. Web. 25 Feb 2020.

Vancouver:

Valentine BE. Embedded early vision techniques for efficient background modeling and midground detection. [Internet] [Doctoral dissertation]. Georgia Tech; 2010. [cited 2020 Feb 25]. Available from: http://hdl.handle.net/1853/33894.

Council of Science Editors:

Valentine BE. Embedded early vision techniques for efficient background modeling and midground detection. [Doctoral Dissertation]. Georgia Tech; 2010. Available from: http://hdl.handle.net/1853/33894

27. Ediger, David. Analyzing hybrid architectures for massively parallel graph analysis.

Degree: PhD, Electrical and Computer Engineering, 2013, Georgia Tech

 The quantity of rich, semi-structured data generated by sensor networks, scientific simulation, business activity, and the Internet grows daily. The objective of this research is… (more)

Subjects/Keywords: Data intensive computing; Computer architectures; Cray XMT; Streaming graph algorithms; Multithreaded graph algorithms; Parallel processing (Electronic computers); Computer algorithms; Graph algorithms; Parallel algorithms

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APA (6th Edition):

Ediger, D. (2013). Analyzing hybrid architectures for massively parallel graph analysis. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/47659

Chicago Manual of Style (16th Edition):

Ediger, David. “Analyzing hybrid architectures for massively parallel graph analysis.” 2013. Doctoral Dissertation, Georgia Tech. Accessed February 25, 2020. http://hdl.handle.net/1853/47659.

MLA Handbook (7th Edition):

Ediger, David. “Analyzing hybrid architectures for massively parallel graph analysis.” 2013. Web. 25 Feb 2020.

Vancouver:

Ediger D. Analyzing hybrid architectures for massively parallel graph analysis. [Internet] [Doctoral dissertation]. Georgia Tech; 2013. [cited 2020 Feb 25]. Available from: http://hdl.handle.net/1853/47659.

Council of Science Editors:

Ediger D. Analyzing hybrid architectures for massively parallel graph analysis. [Doctoral Dissertation]. Georgia Tech; 2013. Available from: http://hdl.handle.net/1853/47659

28. Apewokin, Senyo. Efficiently mapping high-performance early vision algorithms onto multicore embedded platforms.

Degree: PhD, Electrical and Computer Engineering, 2009, Georgia Tech

 The combination of low-cost imaging chips and high-performance, multicore, embedded processors heralds a new era in portable vision systems. Early vision algorithms have the potential… (more)

Subjects/Keywords: Computer vision; Embedded; Multicore; Computer vision; Algorithms

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APA (6th Edition):

Apewokin, S. (2009). Efficiently mapping high-performance early vision algorithms onto multicore embedded platforms. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/28256

Chicago Manual of Style (16th Edition):

Apewokin, Senyo. “Efficiently mapping high-performance early vision algorithms onto multicore embedded platforms.” 2009. Doctoral Dissertation, Georgia Tech. Accessed February 25, 2020. http://hdl.handle.net/1853/28256.

MLA Handbook (7th Edition):

Apewokin, Senyo. “Efficiently mapping high-performance early vision algorithms onto multicore embedded platforms.” 2009. Web. 25 Feb 2020.

Vancouver:

Apewokin S. Efficiently mapping high-performance early vision algorithms onto multicore embedded platforms. [Internet] [Doctoral dissertation]. Georgia Tech; 2009. [cited 2020 Feb 25]. Available from: http://hdl.handle.net/1853/28256.

Council of Science Editors:

Apewokin S. Efficiently mapping high-performance early vision algorithms onto multicore embedded platforms. [Doctoral Dissertation]. Georgia Tech; 2009. Available from: http://hdl.handle.net/1853/28256

29. Chen, Mingyu. Universal motion-based control and motion recognition.

Degree: PhD, Electrical and Computer Engineering, 2013, Georgia Tech

 In this dissertation, we propose a universal motion-based control framework that supports general functionalities on 2D and 3D user interfaces with a single integrated design.… (more)

Subjects/Keywords: Motion control; Motion recognition; User interfaces (Computer systems); Human-computer interaction; Haptic devices; Motion detectors

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APA (6th Edition):

Chen, M. (2013). Universal motion-based control and motion recognition. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/50281

Chicago Manual of Style (16th Edition):

Chen, Mingyu. “Universal motion-based control and motion recognition.” 2013. Doctoral Dissertation, Georgia Tech. Accessed February 25, 2020. http://hdl.handle.net/1853/50281.

MLA Handbook (7th Edition):

Chen, Mingyu. “Universal motion-based control and motion recognition.” 2013. Web. 25 Feb 2020.

Vancouver:

Chen M. Universal motion-based control and motion recognition. [Internet] [Doctoral dissertation]. Georgia Tech; 2013. [cited 2020 Feb 25]. Available from: http://hdl.handle.net/1853/50281.

Council of Science Editors:

Chen M. Universal motion-based control and motion recognition. [Doctoral Dissertation]. Georgia Tech; 2013. Available from: http://hdl.handle.net/1853/50281

30. Forsthoefel, Dana. Leap segmentation in mobile image and video analysis.

Degree: PhD, Electrical and Computer Engineering, 2013, Georgia Tech

 As demand for real-time image processing increases, the need to improve the efficiency of image processing systems is growing. The process of image segmentation is… (more)

Subjects/Keywords: Computer vision; Image segmentation; Real-time and embedded systems; Image segmentation; Computer vision

Georgia Tech for use in vision evaluation experiments. The sequences contain fast-moving traffic… …Georgia Tech is developed and presented for use in vision evaluation experiments (… 

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APA (6th Edition):

Forsthoefel, D. (2013). Leap segmentation in mobile image and video analysis. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/50285

Chicago Manual of Style (16th Edition):

Forsthoefel, Dana. “Leap segmentation in mobile image and video analysis.” 2013. Doctoral Dissertation, Georgia Tech. Accessed February 25, 2020. http://hdl.handle.net/1853/50285.

MLA Handbook (7th Edition):

Forsthoefel, Dana. “Leap segmentation in mobile image and video analysis.” 2013. Web. 25 Feb 2020.

Vancouver:

Forsthoefel D. Leap segmentation in mobile image and video analysis. [Internet] [Doctoral dissertation]. Georgia Tech; 2013. [cited 2020 Feb 25]. Available from: http://hdl.handle.net/1853/50285.

Council of Science Editors:

Forsthoefel D. Leap segmentation in mobile image and video analysis. [Doctoral Dissertation]. Georgia Tech; 2013. Available from: http://hdl.handle.net/1853/50285

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