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You searched for +publisher:"Georgia Tech" +contributor:("Vachtsevanos, George"). Showing records 1 – 30 of 39 total matches.

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Georgia Tech

1. Bole, Brian McCaslyn. Load allocation for optimal risk management in systems with incipient failure modes.

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

 The development and implementation challenges associated with a proposed load allocation paradigm for fault risk assessment and system health management based on uncertain fault diagnostic… (more)

Subjects/Keywords: System health management; Fault risk mitigation; Failure prognostics; Finite horizon prognostics; Markov decision process; Battery discharge prediction; Reliability (Engineering); System failures (Engineering); Fault tolerance (Engineering)

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APA (6th Edition):

Bole, B. M. (2013). Load allocation for optimal risk management in systems with incipient failure modes. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/50394

Chicago Manual of Style (16th Edition):

Bole, Brian McCaslyn. “Load allocation for optimal risk management in systems with incipient failure modes.” 2013. Doctoral Dissertation, Georgia Tech. Accessed November 17, 2019. http://hdl.handle.net/1853/50394.

MLA Handbook (7th Edition):

Bole, Brian McCaslyn. “Load allocation for optimal risk management in systems with incipient failure modes.” 2013. Web. 17 Nov 2019.

Vancouver:

Bole BM. Load allocation for optimal risk management in systems with incipient failure modes. [Internet] [Doctoral dissertation]. Georgia Tech; 2013. [cited 2019 Nov 17]. Available from: http://hdl.handle.net/1853/50394.

Council of Science Editors:

Bole BM. Load allocation for optimal risk management in systems with incipient failure modes. [Doctoral Dissertation]. Georgia Tech; 2013. Available from: http://hdl.handle.net/1853/50394


Georgia Tech

2. Li, Jiaming. A novel human-machine interface framework for conflict resolution.

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

 This thesis introduces a novel architecture for human-machine interface focusing primarily on the human aspects as applied to aircraft and unmanned systems. There is a… (more)

Subjects/Keywords: Human-machine interface; Simulation

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APA (6th Edition):

Li, J. (2015). A novel human-machine interface framework for conflict resolution. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/58146

Chicago Manual of Style (16th Edition):

Li, Jiaming. “A novel human-machine interface framework for conflict resolution.” 2015. Doctoral Dissertation, Georgia Tech. Accessed November 17, 2019. http://hdl.handle.net/1853/58146.

MLA Handbook (7th Edition):

Li, Jiaming. “A novel human-machine interface framework for conflict resolution.” 2015. Web. 17 Nov 2019.

Vancouver:

Li J. A novel human-machine interface framework for conflict resolution. [Internet] [Doctoral dissertation]. Georgia Tech; 2015. [cited 2019 Nov 17]. Available from: http://hdl.handle.net/1853/58146.

Council of Science Editors:

Li J. A novel human-machine interface framework for conflict resolution. [Doctoral Dissertation]. Georgia Tech; 2015. Available from: http://hdl.handle.net/1853/58146


Georgia Tech

3. Oh, Sehwan. Resilience-enhanced control reconfiguration for autonomous systems.

Degree: PhD, Aerospace Engineering, 2019, Georgia Tech

 Unmanned systems keep replacing manned systems as a paradigm shift. According to the Unmanned Autonomous Systems (UAS) market forecast reports, the UAS market value is… (more)

Subjects/Keywords: Resilience; Autonomous systems; Dynamic system; Critical fault; Reconfigurable control; Active fault tolerant control; Fault diagnosis; Case-based reasoning

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APA (6th Edition):

Oh, S. (2019). Resilience-enhanced control reconfiguration for autonomous systems. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/61775

Chicago Manual of Style (16th Edition):

Oh, Sehwan. “Resilience-enhanced control reconfiguration for autonomous systems.” 2019. Doctoral Dissertation, Georgia Tech. Accessed November 17, 2019. http://hdl.handle.net/1853/61775.

MLA Handbook (7th Edition):

Oh, Sehwan. “Resilience-enhanced control reconfiguration for autonomous systems.” 2019. Web. 17 Nov 2019.

Vancouver:

Oh S. Resilience-enhanced control reconfiguration for autonomous systems. [Internet] [Doctoral dissertation]. Georgia Tech; 2019. [cited 2019 Nov 17]. Available from: http://hdl.handle.net/1853/61775.

Council of Science Editors:

Oh S. Resilience-enhanced control reconfiguration for autonomous systems. [Doctoral Dissertation]. Georgia Tech; 2019. Available from: http://hdl.handle.net/1853/61775


Georgia Tech

4. Hester, Jesse Stuart. A technique for determining viable military logistics support alternatives.

Degree: PhD, Aerospace Engineering, 2009, Georgia Tech

 A look at today's US military will see them operating much beyond the scope of protecting and defending the United States. These operations now consist… (more)

Subjects/Keywords: Fuzzy logic; ANN; Seabasing; Military logistics; Distributed operations; Case based reasoning; Logistics; Decision support systems; Computer simulation

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APA (6th Edition):

Hester, J. S. (2009). A technique for determining viable military logistics support alternatives. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/28274

Chicago Manual of Style (16th Edition):

Hester, Jesse Stuart. “A technique for determining viable military logistics support alternatives.” 2009. Doctoral Dissertation, Georgia Tech. Accessed November 17, 2019. http://hdl.handle.net/1853/28274.

MLA Handbook (7th Edition):

Hester, Jesse Stuart. “A technique for determining viable military logistics support alternatives.” 2009. Web. 17 Nov 2019.

Vancouver:

Hester JS. A technique for determining viable military logistics support alternatives. [Internet] [Doctoral dissertation]. Georgia Tech; 2009. [cited 2019 Nov 17]. Available from: http://hdl.handle.net/1853/28274.

Council of Science Editors:

Hester JS. A technique for determining viable military logistics support alternatives. [Doctoral Dissertation]. Georgia Tech; 2009. Available from: http://hdl.handle.net/1853/28274

5. Patterson, Frank H. Fuzzy framework for robust architecture identification in concept selection.

Degree: PhD, Aerospace Engineering, 2015, Georgia Tech

 An evolving set of modern physics-based, multi-disciplinary conceptual design methods seek to explore the feasibility of a new generation of systems, with new capabilities, capable… (more)

Subjects/Keywords: Systems engineering; Concept selection; Engineering design; Fuzzy; Decision making; Systems architecture; Knowledge based engineering

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APA (6th Edition):

Patterson, F. H. (2015). Fuzzy framework for robust architecture identification in concept selection. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/54413

Chicago Manual of Style (16th Edition):

Patterson, Frank H. “Fuzzy framework for robust architecture identification in concept selection.” 2015. Doctoral Dissertation, Georgia Tech. Accessed November 17, 2019. http://hdl.handle.net/1853/54413.

MLA Handbook (7th Edition):

Patterson, Frank H. “Fuzzy framework for robust architecture identification in concept selection.” 2015. Web. 17 Nov 2019.

Vancouver:

Patterson FH. Fuzzy framework for robust architecture identification in concept selection. [Internet] [Doctoral dissertation]. Georgia Tech; 2015. [cited 2019 Nov 17]. Available from: http://hdl.handle.net/1853/54413.

Council of Science Editors:

Patterson FH. Fuzzy framework for robust architecture identification in concept selection. [Doctoral Dissertation]. Georgia Tech; 2015. Available from: http://hdl.handle.net/1853/54413

6. 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 November 17, 2019. 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. 17 Nov 2019.

Vancouver:

Brown DW. A prognostic health management based framework for fault-tolerant control. [Internet] [Doctoral dissertation]. Georgia Tech; 2011. [cited 2019 Nov 17]. 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

7. Ratti, Jayant. QV: the quad winged, energy efficient, six degree of freedom capable micro aerial vehicle.

Degree: PhD, Robotics, 2011, Georgia Tech

 The conventional Mini and Large scale Unmanned Aerial Vehicle systems span anywhere from approximately 12 inches to 12 feet; endowing them with larger propulsion systems,… (more)

Subjects/Keywords: Biomimetic; Aerial robotics; MAV; Four wing; Flapping wing; Energy efficient; Biologically inspired; Micro aerial vehicle; Micro robotics; Micro air vehicles; Drone aircraft; Airplanes Wings; Energy harvesting; Actuators; Automatic pilot (Airplanes); Avionics

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APA (6th Edition):

Ratti, J. (2011). QV: the quad winged, energy efficient, six degree of freedom capable micro aerial vehicle. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/44695

Chicago Manual of Style (16th Edition):

Ratti, Jayant. “QV: the quad winged, energy efficient, six degree of freedom capable micro aerial vehicle.” 2011. Doctoral Dissertation, Georgia Tech. Accessed November 17, 2019. http://hdl.handle.net/1853/44695.

MLA Handbook (7th Edition):

Ratti, Jayant. “QV: the quad winged, energy efficient, six degree of freedom capable micro aerial vehicle.” 2011. Web. 17 Nov 2019.

Vancouver:

Ratti J. QV: the quad winged, energy efficient, six degree of freedom capable micro aerial vehicle. [Internet] [Doctoral dissertation]. Georgia Tech; 2011. [cited 2019 Nov 17]. Available from: http://hdl.handle.net/1853/44695.

Council of Science Editors:

Ratti J. QV: the quad winged, energy efficient, six degree of freedom capable micro aerial vehicle. [Doctoral Dissertation]. Georgia Tech; 2011. Available from: http://hdl.handle.net/1853/44695

8. Sconyers, Christopher. Particle filter-based architecture for video target tracking and geo-location using multiple UAVs.

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

 Research in the areas of target detection, tracking, and geo-location is most important for enabling an unmanned aerial vehicle (UAV) platform to autonomously execute a… (more)

Subjects/Keywords: Rotorcraft; Localization; Monte Carlo; Particle filter; Multi-modal; State space; Observer; Gimbal; Markov; Drone aircraft; Target acquisition

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APA (6th Edition):

Sconyers, C. (2013). Particle filter-based architecture for video target tracking and geo-location using multiple UAVs. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/47734

Chicago Manual of Style (16th Edition):

Sconyers, Christopher. “Particle filter-based architecture for video target tracking and geo-location using multiple UAVs.” 2013. Doctoral Dissertation, Georgia Tech. Accessed November 17, 2019. http://hdl.handle.net/1853/47734.

MLA Handbook (7th Edition):

Sconyers, Christopher. “Particle filter-based architecture for video target tracking and geo-location using multiple UAVs.” 2013. Web. 17 Nov 2019.

Vancouver:

Sconyers C. Particle filter-based architecture for video target tracking and geo-location using multiple UAVs. [Internet] [Doctoral dissertation]. Georgia Tech; 2013. [cited 2019 Nov 17]. Available from: http://hdl.handle.net/1853/47734.

Council of Science Editors:

Sconyers C. Particle filter-based architecture for video target tracking and geo-location using multiple UAVs. [Doctoral Dissertation]. Georgia Tech; 2013. Available from: http://hdl.handle.net/1853/47734

9. Drayer, Gregorio E. Situation-oriented integration of humans and automation for the operation of regenerative life support systems.

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

 The objective of the proposed research is to study the integration of humans and automation for the operation of regenerative life support systems (RLSS). RLSS… (more)

Subjects/Keywords: Regenerative life support systems; Automation; Situation awareness; Situation knowledge base; User-centered design; Life support systems (Space environment); Closed ecological systems (Space environment)

…the Georgia Tech Integrated Product and Process Development (IPPD) Methodology… 

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APA (6th Edition):

Drayer, G. E. (2013). Situation-oriented integration of humans and automation for the operation of regenerative life support systems. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/50311

Chicago Manual of Style (16th Edition):

Drayer, Gregorio E. “Situation-oriented integration of humans and automation for the operation of regenerative life support systems.” 2013. Doctoral Dissertation, Georgia Tech. Accessed November 17, 2019. http://hdl.handle.net/1853/50311.

MLA Handbook (7th Edition):

Drayer, Gregorio E. “Situation-oriented integration of humans and automation for the operation of regenerative life support systems.” 2013. Web. 17 Nov 2019.

Vancouver:

Drayer GE. Situation-oriented integration of humans and automation for the operation of regenerative life support systems. [Internet] [Doctoral dissertation]. Georgia Tech; 2013. [cited 2019 Nov 17]. Available from: http://hdl.handle.net/1853/50311.

Council of Science Editors:

Drayer GE. Situation-oriented integration of humans and automation for the operation of regenerative life support systems. [Doctoral Dissertation]. Georgia Tech; 2013. Available from: http://hdl.handle.net/1853/50311

10. Johnson, Kevin Lee. Prediction of operational envelope maneuverability effects on rotorcraft design.

Degree: PhD, Aerospace Engineering, 2013, Georgia Tech

 Military helicopter operations require precise maneuverability characteristics for performance to be determined for the entire helicopter flight envelope. Historically, these maneuverability analyses are combinatorial in… (more)

Subjects/Keywords: Flight mechanics; Dynamic simulation; Real-time analysis; Quantitative analysis; Data filtering; Maneuver taxonomy; Control independent simulation; Inverse simulation; Helicopters Control systems Design and construction; Flight control Design and construction; Trajectory optimization; Aerodynamics; Helicopters Aerodynamics

…Addressing the three major needs yielded a methodology termed GT-RISE, which stands for Georgia… …Tech Rotorcraft Inverse Simulation Environment. The methodology enables the impact of design… 

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APA (6th Edition):

Johnson, K. L. (2013). Prediction of operational envelope maneuverability effects on rotorcraft design. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/47601

Chicago Manual of Style (16th Edition):

Johnson, Kevin Lee. “Prediction of operational envelope maneuverability effects on rotorcraft design.” 2013. Doctoral Dissertation, Georgia Tech. Accessed November 17, 2019. http://hdl.handle.net/1853/47601.

MLA Handbook (7th Edition):

Johnson, Kevin Lee. “Prediction of operational envelope maneuverability effects on rotorcraft design.” 2013. Web. 17 Nov 2019.

Vancouver:

Johnson KL. Prediction of operational envelope maneuverability effects on rotorcraft design. [Internet] [Doctoral dissertation]. Georgia Tech; 2013. [cited 2019 Nov 17]. Available from: http://hdl.handle.net/1853/47601.

Council of Science Editors:

Johnson KL. Prediction of operational envelope maneuverability effects on rotorcraft design. [Doctoral Dissertation]. Georgia Tech; 2013. Available from: http://hdl.handle.net/1853/47601

11. Carr, Domenic A. A shift-variant restoration technique leveraging high-resolution interface modeling in lidar-based seafloor imaging.

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

 Airborne-lidar bathymetry systems provide intelligence, surveillance, and reconnaissance capabilities reliably and cost-effectively in coastal areas. Recently, systems have shown the ability to produce seafloor reflectance… (more)

Subjects/Keywords: Airborne lidar; bathymetry; seafloor imaging; Image restoration

…orange). . . . . . . . 117 54 An enlarged Georgia Tech logo mounted on a frame at the… …Unit. GT Georgia Tech. HDF Hierarchical Data Format. IBF Inertial body frame. IHO… 

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APA (6th Edition):

Carr, D. A. (2016). A shift-variant restoration technique leveraging high-resolution interface modeling in lidar-based seafloor imaging. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/55587

Chicago Manual of Style (16th Edition):

Carr, Domenic A. “A shift-variant restoration technique leveraging high-resolution interface modeling in lidar-based seafloor imaging.” 2016. Doctoral Dissertation, Georgia Tech. Accessed November 17, 2019. http://hdl.handle.net/1853/55587.

MLA Handbook (7th Edition):

Carr, Domenic A. “A shift-variant restoration technique leveraging high-resolution interface modeling in lidar-based seafloor imaging.” 2016. Web. 17 Nov 2019.

Vancouver:

Carr DA. A shift-variant restoration technique leveraging high-resolution interface modeling in lidar-based seafloor imaging. [Internet] [Doctoral dissertation]. Georgia Tech; 2016. [cited 2019 Nov 17]. Available from: http://hdl.handle.net/1853/55587.

Council of Science Editors:

Carr DA. A shift-variant restoration technique leveraging high-resolution interface modeling in lidar-based seafloor imaging. [Doctoral Dissertation]. Georgia Tech; 2016. Available from: http://hdl.handle.net/1853/55587

12. Edwards, Derek L. Designing optimal demand-responsive transportation feeder systems and comparing performance in heterogeneous environments.

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

 The goal of this research is to develop a method of objectively comparing and optimizing the performance of demand-responsive transportation systems in heterogeneous environments. Demand-responsive… (more)

Subjects/Keywords: Intelligent transportation; Demand-responsive transportation; Route optimization; Transit

…transportation systems are universities, such as Georgia Tech [8], Duke University [9… 

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APA (6th Edition):

Edwards, D. L. (2014). Designing optimal demand-responsive transportation feeder systems and comparing performance in heterogeneous environments. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/52230

Chicago Manual of Style (16th Edition):

Edwards, Derek L. “Designing optimal demand-responsive transportation feeder systems and comparing performance in heterogeneous environments.” 2014. Doctoral Dissertation, Georgia Tech. Accessed November 17, 2019. http://hdl.handle.net/1853/52230.

MLA Handbook (7th Edition):

Edwards, Derek L. “Designing optimal demand-responsive transportation feeder systems and comparing performance in heterogeneous environments.” 2014. Web. 17 Nov 2019.

Vancouver:

Edwards DL. Designing optimal demand-responsive transportation feeder systems and comparing performance in heterogeneous environments. [Internet] [Doctoral dissertation]. Georgia Tech; 2014. [cited 2019 Nov 17]. Available from: http://hdl.handle.net/1853/52230.

Council of Science Editors:

Edwards DL. Designing optimal demand-responsive transportation feeder systems and comparing performance in heterogeneous environments. [Doctoral Dissertation]. Georgia Tech; 2014. Available from: http://hdl.handle.net/1853/52230

13. Fairley, Jacqueline Antoinette. Statistical modeling of the human sleep process via physiological recordings.

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

 The main objective of this work was the development of a computer-based Expert Sleep Analysis Methodology (ESAM) to aid sleep care physicians in the diagnosis… (more)

Subjects/Keywords: Evolutionary computer algorithms; Biosignal processing; Quantitative-based human sleep analysis; Human sleep pathology; Sleep; Polysomnography; Parkinson's disease; Computer simulation; Automatic classification

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APA (6th Edition):

Fairley, J. A. (2009). Statistical modeling of the human sleep process via physiological recordings. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/33912

Chicago Manual of Style (16th Edition):

Fairley, Jacqueline Antoinette. “Statistical modeling of the human sleep process via physiological recordings.” 2009. Doctoral Dissertation, Georgia Tech. Accessed November 17, 2019. http://hdl.handle.net/1853/33912.

MLA Handbook (7th Edition):

Fairley, Jacqueline Antoinette. “Statistical modeling of the human sleep process via physiological recordings.” 2009. Web. 17 Nov 2019.

Vancouver:

Fairley JA. Statistical modeling of the human sleep process via physiological recordings. [Internet] [Doctoral dissertation]. Georgia Tech; 2009. [cited 2019 Nov 17]. Available from: http://hdl.handle.net/1853/33912.

Council of Science Editors:

Fairley JA. Statistical modeling of the human sleep process via physiological recordings. [Doctoral Dissertation]. Georgia Tech; 2009. Available from: http://hdl.handle.net/1853/33912

14. Gullayanon, Rutchanee. A calibration methodology for energy dispersive X-ray fluorescence measurements based upon synthetically generated reference spectra.

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

 This research developed an on-line measurement systemfor determining the amount of fluorochemicals on carpet fibers using energy-dispersive X-ray fluorescence (EDXRF).This system is designed as a… (more)

Subjects/Keywords: XRF; Calibration; Synthetic spectra; X-ray fluorescence; X-ray spectroscopy; Spectrum analysis

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APA (6th Edition):

Gullayanon, R. (2011). A calibration methodology for energy dispersive X-ray fluorescence measurements based upon synthetically generated reference spectra. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/42771

Chicago Manual of Style (16th Edition):

Gullayanon, Rutchanee. “A calibration methodology for energy dispersive X-ray fluorescence measurements based upon synthetically generated reference spectra.” 2011. Doctoral Dissertation, Georgia Tech. Accessed November 17, 2019. http://hdl.handle.net/1853/42771.

MLA Handbook (7th Edition):

Gullayanon, Rutchanee. “A calibration methodology for energy dispersive X-ray fluorescence measurements based upon synthetically generated reference spectra.” 2011. Web. 17 Nov 2019.

Vancouver:

Gullayanon R. A calibration methodology for energy dispersive X-ray fluorescence measurements based upon synthetically generated reference spectra. [Internet] [Doctoral dissertation]. Georgia Tech; 2011. [cited 2019 Nov 17]. Available from: http://hdl.handle.net/1853/42771.

Council of Science Editors:

Gullayanon R. A calibration methodology for energy dispersive X-ray fluorescence measurements based upon synthetically generated reference spectra. [Doctoral Dissertation]. Georgia Tech; 2011. Available from: http://hdl.handle.net/1853/42771

15. Rogge, Matthew Douglas. In-process sensing of weld penetration depth using non-contact laser ultrasound system.

Degree: PhD, Mechanical Engineering, 2009, Georgia Tech

 Gas Metal Arc Welding (GMAW) is one of the main methods used to join structural members. One of the largest challenges involved in production of… (more)

Subjects/Keywords: Time of flight diffraction; Automatic inspection; Neuro-fuzzy model; Rayleigh wave; Welded joints Measurement; Nondestructive testing; Lasers Industrial applications; Gas metal arc welding

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APA (6th Edition):

Rogge, M. D. (2009). In-process sensing of weld penetration depth using non-contact laser ultrasound system. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/31698

Chicago Manual of Style (16th Edition):

Rogge, Matthew Douglas. “In-process sensing of weld penetration depth using non-contact laser ultrasound system.” 2009. Doctoral Dissertation, Georgia Tech. Accessed November 17, 2019. http://hdl.handle.net/1853/31698.

MLA Handbook (7th Edition):

Rogge, Matthew Douglas. “In-process sensing of weld penetration depth using non-contact laser ultrasound system.” 2009. Web. 17 Nov 2019.

Vancouver:

Rogge MD. In-process sensing of weld penetration depth using non-contact laser ultrasound system. [Internet] [Doctoral dissertation]. Georgia Tech; 2009. [cited 2019 Nov 17]. Available from: http://hdl.handle.net/1853/31698.

Council of Science Editors:

Rogge MD. In-process sensing of weld penetration depth using non-contact laser ultrasound system. [Doctoral Dissertation]. Georgia Tech; 2009. Available from: http://hdl.handle.net/1853/31698

16. Craddock, Richard Cameron. Support vector classification analysis of resting state functional connectivity fMRI.

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

 Since its discovery in 1995 resting state functional connectivity derived from functional MRI data has become a popular neuroimaging method for study psychiatric disorders. Current… (more)

Subjects/Keywords: Machine learning; Support vector classification; FMRI; Biological signal processing; Supervised learning (Machine learning); Support vector machines; Magnetic resonance imaging

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APA (6th Edition):

Craddock, R. C. (2009). Support vector classification analysis of resting state functional connectivity fMRI. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/31774

Chicago Manual of Style (16th Edition):

Craddock, Richard Cameron. “Support vector classification analysis of resting state functional connectivity fMRI.” 2009. Doctoral Dissertation, Georgia Tech. Accessed November 17, 2019. http://hdl.handle.net/1853/31774.

MLA Handbook (7th Edition):

Craddock, Richard Cameron. “Support vector classification analysis of resting state functional connectivity fMRI.” 2009. Web. 17 Nov 2019.

Vancouver:

Craddock RC. Support vector classification analysis of resting state functional connectivity fMRI. [Internet] [Doctoral dissertation]. Georgia Tech; 2009. [cited 2019 Nov 17]. Available from: http://hdl.handle.net/1853/31774.

Council of Science Editors:

Craddock RC. Support vector classification analysis of resting state functional connectivity fMRI. [Doctoral Dissertation]. Georgia Tech; 2009. Available from: http://hdl.handle.net/1853/31774

17. Johnson, Ashley Nzinga. A statistical framework for the analysis of neural control of movement with aging and other clinical applications.

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

 The majority of daily living tasks necessitate the use of bimanual movements or concurrent cognitive processing, which are often more difficult for elderly adults. With… (more)

Subjects/Keywords: Electroencephalogram; Electromyogram; Classification; Coherence; Feature selection; Aging; Motor neurons; Efferent pathways; Neuromuscular transmission; Cerebrovascular disease—Patients

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APA (6th Edition):

Johnson, A. N. (2012). A statistical framework for the analysis of neural control of movement with aging and other clinical applications. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/47573

Chicago Manual of Style (16th Edition):

Johnson, Ashley Nzinga. “A statistical framework for the analysis of neural control of movement with aging and other clinical applications.” 2012. Doctoral Dissertation, Georgia Tech. Accessed November 17, 2019. http://hdl.handle.net/1853/47573.

MLA Handbook (7th Edition):

Johnson, Ashley Nzinga. “A statistical framework for the analysis of neural control of movement with aging and other clinical applications.” 2012. Web. 17 Nov 2019.

Vancouver:

Johnson AN. A statistical framework for the analysis of neural control of movement with aging and other clinical applications. [Internet] [Doctoral dissertation]. Georgia Tech; 2012. [cited 2019 Nov 17]. Available from: http://hdl.handle.net/1853/47573.

Council of Science Editors:

Johnson AN. A statistical framework for the analysis of neural control of movement with aging and other clinical applications. [Doctoral Dissertation]. Georgia Tech; 2012. Available from: http://hdl.handle.net/1853/47573

18. Cho, HwanJune. Uncertainty management in prognosis of electric vehicle energy system.

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

 The body of work described here seeks to understand uncertainties that are inherent in the system prognosis procedure, to represent and propagate them, and to… (more)

Subjects/Keywords: RUL; EOL; Uncertainty; Electric vehicle energy system; Electric vehicle traction systems; Prognosis

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APA (6th Edition):

Cho, H. (2018). Uncertainty management in prognosis of electric vehicle energy system. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/60797

Chicago Manual of Style (16th Edition):

Cho, HwanJune. “Uncertainty management in prognosis of electric vehicle energy system.” 2018. Doctoral Dissertation, Georgia Tech. Accessed November 17, 2019. http://hdl.handle.net/1853/60797.

MLA Handbook (7th Edition):

Cho, HwanJune. “Uncertainty management in prognosis of electric vehicle energy system.” 2018. Web. 17 Nov 2019.

Vancouver:

Cho H. Uncertainty management in prognosis of electric vehicle energy system. [Internet] [Doctoral dissertation]. Georgia Tech; 2018. [cited 2019 Nov 17]. Available from: http://hdl.handle.net/1853/60797.

Council of Science Editors:

Cho H. Uncertainty management in prognosis of electric vehicle energy system. [Doctoral Dissertation]. Georgia Tech; 2018. Available from: http://hdl.handle.net/1853/60797


Georgia Tech

19. Mahuteau, Laurent. Study of algorithms for analysis of xrf spectra to automate inspection of carpets.

Degree: MS, Electrical and Computer Engineering, 2008, Georgia Tech

 The objective of this thesis is to categorize carpet types according to their XRF spectra and verify if further classification of carpets is possible for… (more)

Subjects/Keywords: Carpet; Spectrum analysis; X-ray fluorescence; Xrf; Carpets; Carpets – Inspection; Chemistry, Analytic – Qualitative

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APA (6th Edition):

Mahuteau, L. (2008). Study of algorithms for analysis of xrf spectra to automate inspection of carpets. (Masters Thesis). Georgia Tech. Retrieved from http://hdl.handle.net/1853/26625

Chicago Manual of Style (16th Edition):

Mahuteau, Laurent. “Study of algorithms for analysis of xrf spectra to automate inspection of carpets.” 2008. Masters Thesis, Georgia Tech. Accessed November 17, 2019. http://hdl.handle.net/1853/26625.

MLA Handbook (7th Edition):

Mahuteau, Laurent. “Study of algorithms for analysis of xrf spectra to automate inspection of carpets.” 2008. Web. 17 Nov 2019.

Vancouver:

Mahuteau L. Study of algorithms for analysis of xrf spectra to automate inspection of carpets. [Internet] [Masters thesis]. Georgia Tech; 2008. [cited 2019 Nov 17]. Available from: http://hdl.handle.net/1853/26625.

Council of Science Editors:

Mahuteau L. Study of algorithms for analysis of xrf spectra to automate inspection of carpets. [Masters Thesis]. Georgia Tech; 2008. Available from: http://hdl.handle.net/1853/26625


Georgia Tech

20. Gullayanon, Rutchanee. Motion Control of 3 Degree-Of-Freedom Direct-Drive Robot.

Degree: MS, Electrical and Computer Engineering, 2005, Georgia Tech

 Modern motion controllers of robot manipulators require knowledge of the system's dynamics in order to intelligently predict the torque command. The main objective for this… (more)

Subjects/Keywords: Robot; Manipulator; Computed torque; PD; Motion control; Direct drive

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APA (6th Edition):

Gullayanon, R. (2005). Motion Control of 3 Degree-Of-Freedom Direct-Drive Robot. (Masters Thesis). Georgia Tech. Retrieved from http://hdl.handle.net/1853/6969

Chicago Manual of Style (16th Edition):

Gullayanon, Rutchanee. “Motion Control of 3 Degree-Of-Freedom Direct-Drive Robot.” 2005. Masters Thesis, Georgia Tech. Accessed November 17, 2019. http://hdl.handle.net/1853/6969.

MLA Handbook (7th Edition):

Gullayanon, Rutchanee. “Motion Control of 3 Degree-Of-Freedom Direct-Drive Robot.” 2005. Web. 17 Nov 2019.

Vancouver:

Gullayanon R. Motion Control of 3 Degree-Of-Freedom Direct-Drive Robot. [Internet] [Masters thesis]. Georgia Tech; 2005. [cited 2019 Nov 17]. Available from: http://hdl.handle.net/1853/6969.

Council of Science Editors:

Gullayanon R. Motion Control of 3 Degree-Of-Freedom Direct-Drive Robot. [Masters Thesis]. Georgia Tech; 2005. Available from: http://hdl.handle.net/1853/6969


Georgia Tech

21. Lu, Yinghui. Analysis and modeling of diffuse ultrasonic signals for structural health monitoring.

Degree: PhD, Electrical and Computer Engineering, 2007, Georgia Tech

 Structural Health Monitoring (SHM) refers to the process of nondestructive autonomous in situ monitoring of the integrity of critical engineering structures such as airplanes, bridges… (more)

Subjects/Keywords: Temperature compensation; Matching pursuit; Ultrasonics; Structural health monitoring; Chaotic system; Signal processing

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APA (6th Edition):

Lu, Y. (2007). Analysis and modeling of diffuse ultrasonic signals for structural health monitoring. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/16141

Chicago Manual of Style (16th Edition):

Lu, Yinghui. “Analysis and modeling of diffuse ultrasonic signals for structural health monitoring.” 2007. Doctoral Dissertation, Georgia Tech. Accessed November 17, 2019. http://hdl.handle.net/1853/16141.

MLA Handbook (7th Edition):

Lu, Yinghui. “Analysis and modeling of diffuse ultrasonic signals for structural health monitoring.” 2007. Web. 17 Nov 2019.

Vancouver:

Lu Y. Analysis and modeling of diffuse ultrasonic signals for structural health monitoring. [Internet] [Doctoral dissertation]. Georgia Tech; 2007. [cited 2019 Nov 17]. Available from: http://hdl.handle.net/1853/16141.

Council of Science Editors:

Lu Y. Analysis and modeling of diffuse ultrasonic signals for structural health monitoring. [Doctoral Dissertation]. Georgia Tech; 2007. Available from: http://hdl.handle.net/1853/16141


Georgia Tech

22. Reimann, Johan Michael. Using Multiplayer Differential Game Theory to Derive Efficient Pursuit-Evasion Strategies for Unmanned Aerial Vehicles.

Degree: PhD, Electrical and Computer Engineering, 2007, Georgia Tech

 In recent years, Unmanned Aerial Vehicles (UAVs) have been used extensively in military conflict situations to execute intelligence, surveillance and reconnaissance missions. However, most of… (more)

Subjects/Keywords: Differential games; Adversarial reasoning; Optimal control; Differential games; Drone aircraft; Airplanes Automatic control; Airplanes Control systems; Algorithms

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APA (6th Edition):

Reimann, J. M. (2007). Using Multiplayer Differential Game Theory to Derive Efficient Pursuit-Evasion Strategies for Unmanned Aerial Vehicles. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/16151

Chicago Manual of Style (16th Edition):

Reimann, Johan Michael. “Using Multiplayer Differential Game Theory to Derive Efficient Pursuit-Evasion Strategies for Unmanned Aerial Vehicles.” 2007. Doctoral Dissertation, Georgia Tech. Accessed November 17, 2019. http://hdl.handle.net/1853/16151.

MLA Handbook (7th Edition):

Reimann, Johan Michael. “Using Multiplayer Differential Game Theory to Derive Efficient Pursuit-Evasion Strategies for Unmanned Aerial Vehicles.” 2007. Web. 17 Nov 2019.

Vancouver:

Reimann JM. Using Multiplayer Differential Game Theory to Derive Efficient Pursuit-Evasion Strategies for Unmanned Aerial Vehicles. [Internet] [Doctoral dissertation]. Georgia Tech; 2007. [cited 2019 Nov 17]. Available from: http://hdl.handle.net/1853/16151.

Council of Science Editors:

Reimann JM. Using Multiplayer Differential Game Theory to Derive Efficient Pursuit-Evasion Strategies for Unmanned Aerial Vehicles. [Doctoral Dissertation]. Georgia Tech; 2007. Available from: http://hdl.handle.net/1853/16151


Georgia Tech

23. Orchard, Marcos Eduardo. A Particle Filtering-based Framework for On-line Fault Diagnosis and Failure Prognosis.

Degree: PhD, Electrical and Computer Engineering, 2007, Georgia Tech

 This thesis presents an on-line particle-filtering-based framework for fault diagnosis and failure prognosis in nonlinear, non-Gaussian systems. The methodology assumes the definition of a set… (more)

Subjects/Keywords: Nonlinear systems; Particle filters; Fault detection; Failure prognosis; Fault diagnosis; Fault location (Engineering); Monte Carlo method

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APA (6th Edition):

Orchard, M. E. (2007). A Particle Filtering-based Framework for On-line Fault Diagnosis and Failure Prognosis. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/19752

Chicago Manual of Style (16th Edition):

Orchard, Marcos Eduardo. “A Particle Filtering-based Framework for On-line Fault Diagnosis and Failure Prognosis.” 2007. Doctoral Dissertation, Georgia Tech. Accessed November 17, 2019. http://hdl.handle.net/1853/19752.

MLA Handbook (7th Edition):

Orchard, Marcos Eduardo. “A Particle Filtering-based Framework for On-line Fault Diagnosis and Failure Prognosis.” 2007. Web. 17 Nov 2019.

Vancouver:

Orchard ME. A Particle Filtering-based Framework for On-line Fault Diagnosis and Failure Prognosis. [Internet] [Doctoral dissertation]. Georgia Tech; 2007. [cited 2019 Nov 17]. Available from: http://hdl.handle.net/1853/19752.

Council of Science Editors:

Orchard ME. A Particle Filtering-based Framework for On-line Fault Diagnosis and Failure Prognosis. [Doctoral Dissertation]. Georgia Tech; 2007. Available from: http://hdl.handle.net/1853/19752


Georgia Tech

24. Jung, Dongwon Jung. Hierarchical Path Planning and Control of a Small Fixed-wing UAV: Theory and Experimental Validation.

Degree: PhD, Aerospace Engineering, 2007, Georgia Tech

 Recently there has been a tremendous growth of research emphasizing control of unmanned aerial vehicles (UAVs) either in isolation or in teams. As a matter… (more)

Subjects/Keywords: Unmanned aerial vehicles; Multi-resolution path planning; Hardware-in-the-loop simulation; Drone aircraft; Algorithms; Wavelets (Mathematics); Intelligent control systems; Trajectory optimization

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APA (6th Edition):

Jung, D. J. (2007). Hierarchical Path Planning and Control of a Small Fixed-wing UAV: Theory and Experimental Validation. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/19781

Chicago Manual of Style (16th Edition):

Jung, Dongwon Jung. “Hierarchical Path Planning and Control of a Small Fixed-wing UAV: Theory and Experimental Validation.” 2007. Doctoral Dissertation, Georgia Tech. Accessed November 17, 2019. http://hdl.handle.net/1853/19781.

MLA Handbook (7th Edition):

Jung, Dongwon Jung. “Hierarchical Path Planning and Control of a Small Fixed-wing UAV: Theory and Experimental Validation.” 2007. Web. 17 Nov 2019.

Vancouver:

Jung DJ. Hierarchical Path Planning and Control of a Small Fixed-wing UAV: Theory and Experimental Validation. [Internet] [Doctoral dissertation]. Georgia Tech; 2007. [cited 2019 Nov 17]. Available from: http://hdl.handle.net/1853/19781.

Council of Science Editors:

Jung DJ. Hierarchical Path Planning and Control of a Small Fixed-wing UAV: Theory and Experimental Validation. [Doctoral Dissertation]. Georgia Tech; 2007. Available from: http://hdl.handle.net/1853/19781


Georgia Tech

25. Cobb, Adam. A state estimation framework for ultrasonic structural health monitoring of fastener hole fatigue cracks.

Degree: PhD, Electrical and Computer Engineering, 2008, Georgia Tech

 The development of structural monitoring systems is a critical research area because of the age and sustainment costs associated with many aircraft in use today.… (more)

Subjects/Keywords: Ultrasonic; Fastener hole; Fatigue crack; State estimation; Structural Health Monitoring; Structural analysis (Engineering); Automatic data collection systems; Ultrasonic testing; Fatigue testing machines; Airframes – Fatigue; Algorithms

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APA (6th Edition):

Cobb, A. (2008). A state estimation framework for ultrasonic structural health monitoring of fastener hole fatigue cracks. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/22537

Chicago Manual of Style (16th Edition):

Cobb, Adam. “A state estimation framework for ultrasonic structural health monitoring of fastener hole fatigue cracks.” 2008. Doctoral Dissertation, Georgia Tech. Accessed November 17, 2019. http://hdl.handle.net/1853/22537.

MLA Handbook (7th Edition):

Cobb, Adam. “A state estimation framework for ultrasonic structural health monitoring of fastener hole fatigue cracks.” 2008. Web. 17 Nov 2019.

Vancouver:

Cobb A. A state estimation framework for ultrasonic structural health monitoring of fastener hole fatigue cracks. [Internet] [Doctoral dissertation]. Georgia Tech; 2008. [cited 2019 Nov 17]. Available from: http://hdl.handle.net/1853/22537.

Council of Science Editors:

Cobb A. A state estimation framework for ultrasonic structural health monitoring of fastener hole fatigue cracks. [Doctoral Dissertation]. Georgia Tech; 2008. Available from: http://hdl.handle.net/1853/22537


Georgia Tech

26. Saha, Bhaskar. A model-based reasoning architecture for system-level fault diagnosis.

Degree: PhD, Electrical and Computer Engineering, 2008, Georgia Tech

 This dissertation presents a model-based reasoning architecture with a two fold purpose: to detect and classify component faults from observable system behavior, and to generate… (more)

Subjects/Keywords: Model verification; Prognostic health management; Condition-based maintenance; Fault identification; Fault detection; MBR; Fault location (Engineering); Model-based reasoning

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APA (6th Edition):

Saha, B. (2008). A model-based reasoning architecture for system-level fault diagnosis. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/22653

Chicago Manual of Style (16th Edition):

Saha, Bhaskar. “A model-based reasoning architecture for system-level fault diagnosis.” 2008. Doctoral Dissertation, Georgia Tech. Accessed November 17, 2019. http://hdl.handle.net/1853/22653.

MLA Handbook (7th Edition):

Saha, Bhaskar. “A model-based reasoning architecture for system-level fault diagnosis.” 2008. Web. 17 Nov 2019.

Vancouver:

Saha B. A model-based reasoning architecture for system-level fault diagnosis. [Internet] [Doctoral dissertation]. Georgia Tech; 2008. [cited 2019 Nov 17]. Available from: http://hdl.handle.net/1853/22653.

Council of Science Editors:

Saha B. A model-based reasoning architecture for system-level fault diagnosis. [Doctoral Dissertation]. Georgia Tech; 2008. Available from: http://hdl.handle.net/1853/22653


Georgia Tech

27. Barajas, Leandro G. Process Control in High-Noise Environments Using A Limited Number Of Measurements.

Degree: PhD, Electrical and Computer Engineering, 2003, Georgia Tech

 The topic of this dissertation is the derivation, development, and evaluation of novel hybrid algorithms for process control that use a limited number of measurements… (more)

Subjects/Keywords: Affine estimator; Algorithm theory; Constrained conjugated gradient method; Control law generation; Control values; Function evaluation; High noise environment; Hybrid control algorithm; Least squares; LS; Multiple function evaluations; Noise; Printed circuit board manufacturing; Process control; Stencil printing processes; Windowed smoothed block form

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APA (6th Edition):

Barajas, L. G. (2003). Process Control in High-Noise Environments Using A Limited Number Of Measurements. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/7741

Chicago Manual of Style (16th Edition):

Barajas, Leandro G. “Process Control in High-Noise Environments Using A Limited Number Of Measurements.” 2003. Doctoral Dissertation, Georgia Tech. Accessed November 17, 2019. http://hdl.handle.net/1853/7741.

MLA Handbook (7th Edition):

Barajas, Leandro G. “Process Control in High-Noise Environments Using A Limited Number Of Measurements.” 2003. Web. 17 Nov 2019.

Vancouver:

Barajas LG. Process Control in High-Noise Environments Using A Limited Number Of Measurements. [Internet] [Doctoral dissertation]. Georgia Tech; 2003. [cited 2019 Nov 17]. Available from: http://hdl.handle.net/1853/7741.

Council of Science Editors:

Barajas LG. Process Control in High-Noise Environments Using A Limited Number Of Measurements. [Doctoral Dissertation]. Georgia Tech; 2003. Available from: http://hdl.handle.net/1853/7741


Georgia Tech

28. Burrell, Lauren S. Feature analysis of functional mri data for mapping epileptic networks.

Degree: PhD, Electrical and Computer Engineering, 2008, Georgia Tech

 This research focused on the development of a methodology for analyzing functional magnetic resonance imaging (fMRI) data collected from patients with epilepsy in order to… (more)

Subjects/Keywords: Feature extraction; Brain mapping; Feature fusion; Magnetic resonance imaging; Brain – Localization of functions

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APA (6th Edition):

Burrell, L. S. (2008). Feature analysis of functional mri data for mapping epileptic networks. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/26528

Chicago Manual of Style (16th Edition):

Burrell, Lauren S. “Feature analysis of functional mri data for mapping epileptic networks.” 2008. Doctoral Dissertation, Georgia Tech. Accessed November 17, 2019. http://hdl.handle.net/1853/26528.

MLA Handbook (7th Edition):

Burrell, Lauren S. “Feature analysis of functional mri data for mapping epileptic networks.” 2008. Web. 17 Nov 2019.

Vancouver:

Burrell LS. Feature analysis of functional mri data for mapping epileptic networks. [Internet] [Doctoral dissertation]. Georgia Tech; 2008. [cited 2019 Nov 17]. Available from: http://hdl.handle.net/1853/26528.

Council of Science Editors:

Burrell LS. Feature analysis of functional mri data for mapping epileptic networks. [Doctoral Dissertation]. Georgia Tech; 2008. Available from: http://hdl.handle.net/1853/26528


Georgia Tech

29. Gutierrez Zea, Luis Benigno. Adaptive Mode Transition Control Architecture with an Application to Unmanned Aerial Vehicles.

Degree: PhD, Electrical and Computer Engineering, 2004, Georgia Tech

 In this thesis, an architecture for the adaptive mode transition control of unmanned aerial vehicles (UAV) is presented. The proposed architecture consists of three levels:… (more)

Subjects/Keywords: Mode transition control; Multi model adaptive control; Unmanned aerial vehicles; Fuzzy neural networks

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APA (6th Edition):

Gutierrez Zea, L. B. (2004). Adaptive Mode Transition Control Architecture with an Application to Unmanned Aerial Vehicles. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/4995

Chicago Manual of Style (16th Edition):

Gutierrez Zea, Luis Benigno. “Adaptive Mode Transition Control Architecture with an Application to Unmanned Aerial Vehicles.” 2004. Doctoral Dissertation, Georgia Tech. Accessed November 17, 2019. http://hdl.handle.net/1853/4995.

MLA Handbook (7th Edition):

Gutierrez Zea, Luis Benigno. “Adaptive Mode Transition Control Architecture with an Application to Unmanned Aerial Vehicles.” 2004. Web. 17 Nov 2019.

Vancouver:

Gutierrez Zea LB. Adaptive Mode Transition Control Architecture with an Application to Unmanned Aerial Vehicles. [Internet] [Doctoral dissertation]. Georgia Tech; 2004. [cited 2019 Nov 17]. Available from: http://hdl.handle.net/1853/4995.

Council of Science Editors:

Gutierrez Zea LB. Adaptive Mode Transition Control Architecture with an Application to Unmanned Aerial Vehicles. [Doctoral Dissertation]. Georgia Tech; 2004. Available from: http://hdl.handle.net/1853/4995


Georgia Tech

30. Ludington, Ben T. Particle Filter Tracking Architecture for use Onboard Unmanned Aerial Vehicles.

Degree: PhD, Electrical and Computer Engineering, 2006, Georgia Tech

 Unmanned Aerial Vehicles (UAVs) are capable of placing sensors at unique vantage points without endangering a pilot. Therefore, they are well suited to perform target… (more)

Subjects/Keywords: Particle filters; Target tracking; Unmanned aerial vehicles; Computer vision; Neural networks

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APA (6th Edition):

Ludington, B. T. (2006). Particle Filter Tracking Architecture for use Onboard Unmanned Aerial Vehicles. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/13967

Chicago Manual of Style (16th Edition):

Ludington, Ben T. “Particle Filter Tracking Architecture for use Onboard Unmanned Aerial Vehicles.” 2006. Doctoral Dissertation, Georgia Tech. Accessed November 17, 2019. http://hdl.handle.net/1853/13967.

MLA Handbook (7th Edition):

Ludington, Ben T. “Particle Filter Tracking Architecture for use Onboard Unmanned Aerial Vehicles.” 2006. Web. 17 Nov 2019.

Vancouver:

Ludington BT. Particle Filter Tracking Architecture for use Onboard Unmanned Aerial Vehicles. [Internet] [Doctoral dissertation]. Georgia Tech; 2006. [cited 2019 Nov 17]. Available from: http://hdl.handle.net/1853/13967.

Council of Science Editors:

Ludington BT. Particle Filter Tracking Architecture for use Onboard Unmanned Aerial Vehicles. [Doctoral Dissertation]. Georgia Tech; 2006. Available from: http://hdl.handle.net/1853/13967

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