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You searched for +publisher:"Georgia Tech" +contributor:("AlRegib, Ghassan"). Showing records 1 – 30 of 31 total matches.

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Georgia Tech

1. Wampler, Christopher. Information leakage in encrypted IP video traffic.

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

 We show that information leakage occurs in video over IP traffic, including for encrypted payloads. It is possible to detect events occurring in the field… (more)

Subjects/Keywords: Information leakage; Video; Encoding

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APA (6th Edition):

Wampler, C. (2014). Information leakage in encrypted IP video traffic. (Masters Thesis). Georgia Tech. Retrieved from http://hdl.handle.net/1853/54287

Chicago Manual of Style (16th Edition):

Wampler, Christopher. “Information leakage in encrypted IP video traffic.” 2014. Masters Thesis, Georgia Tech. Accessed August 18, 2019. http://hdl.handle.net/1853/54287.

MLA Handbook (7th Edition):

Wampler, Christopher. “Information leakage in encrypted IP video traffic.” 2014. Web. 18 Aug 2019.

Vancouver:

Wampler C. Information leakage in encrypted IP video traffic. [Internet] [Masters thesis]. Georgia Tech; 2014. [cited 2019 Aug 18]. Available from: http://hdl.handle.net/1853/54287.

Council of Science Editors:

Wampler C. Information leakage in encrypted IP video traffic. [Masters Thesis]. Georgia Tech; 2014. Available from: http://hdl.handle.net/1853/54287


Georgia Tech

2. Dedhia, Vaibhav. Scene flow for autonomous navigation.

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

 Today, there are various different paradigms for vision based autonomous navigation: mediated perception approaches that parse an entire scene to make driving decision, a direct… (more)

Subjects/Keywords: Autonomous navigation; CNNs; Computer vision

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APA (6th Edition):

Dedhia, V. (2018). Scene flow for autonomous navigation. (Masters Thesis). Georgia Tech. Retrieved from http://hdl.handle.net/1853/59948

Chicago Manual of Style (16th Edition):

Dedhia, Vaibhav. “Scene flow for autonomous navigation.” 2018. Masters Thesis, Georgia Tech. Accessed August 18, 2019. http://hdl.handle.net/1853/59948.

MLA Handbook (7th Edition):

Dedhia, Vaibhav. “Scene flow for autonomous navigation.” 2018. Web. 18 Aug 2019.

Vancouver:

Dedhia V. Scene flow for autonomous navigation. [Internet] [Masters thesis]. Georgia Tech; 2018. [cited 2019 Aug 18]. Available from: http://hdl.handle.net/1853/59948.

Council of Science Editors:

Dedhia V. Scene flow for autonomous navigation. [Masters Thesis]. Georgia Tech; 2018. Available from: http://hdl.handle.net/1853/59948


Georgia Tech

3. Zhu, Xueyun. Vlist and Ering: compact data structures for simplicial 2-complexes.

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

 Various data structures have been proposed for representing the connectivity of manifold triangle meshes. For example, the Extended Corner Table (ECT) stores V+6T references, where… (more)

Subjects/Keywords: Triangle meshes; Simplicial complexes; Non-manifold representations; Adjacency graph; Compact data structures; Corner table; Side respecting traversal; Random access and traversal operators; Manifolds (Mathematics); Topological manifolds; Three-dimensional display systems

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APA (6th Edition):

Zhu, X. (2013). Vlist and Ering: compact data structures for simplicial 2-complexes. (Masters Thesis). Georgia Tech. Retrieved from http://hdl.handle.net/1853/50389

Chicago Manual of Style (16th Edition):

Zhu, Xueyun. “Vlist and Ering: compact data structures for simplicial 2-complexes.” 2013. Masters Thesis, Georgia Tech. Accessed August 18, 2019. http://hdl.handle.net/1853/50389.

MLA Handbook (7th Edition):

Zhu, Xueyun. “Vlist and Ering: compact data structures for simplicial 2-complexes.” 2013. Web. 18 Aug 2019.

Vancouver:

Zhu X. Vlist and Ering: compact data structures for simplicial 2-complexes. [Internet] [Masters thesis]. Georgia Tech; 2013. [cited 2019 Aug 18]. Available from: http://hdl.handle.net/1853/50389.

Council of Science Editors:

Zhu X. Vlist and Ering: compact data structures for simplicial 2-complexes. [Masters Thesis]. Georgia Tech; 2013. Available from: http://hdl.handle.net/1853/50389

4. Blankenagel, Bryan. Estimation of velocity in underwater wireless channels.

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

 Underwater communication is necessary for a variety of applications, including transmission of diver speech, communication between manned and/or unmanned underwater vehicles, and data harvesting for… (more)

Subjects/Keywords: Underwater communications; Acoustics; Velocity estimator; Underwater acoustic telemetry

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APA (6th Edition):

Blankenagel, B. (2013). Estimation of velocity in underwater wireless channels. (Masters Thesis). Georgia Tech. Retrieved from http://hdl.handle.net/1853/50418

Chicago Manual of Style (16th Edition):

Blankenagel, Bryan. “Estimation of velocity in underwater wireless channels.” 2013. Masters Thesis, Georgia Tech. Accessed August 18, 2019. http://hdl.handle.net/1853/50418.

MLA Handbook (7th Edition):

Blankenagel, Bryan. “Estimation of velocity in underwater wireless channels.” 2013. Web. 18 Aug 2019.

Vancouver:

Blankenagel B. Estimation of velocity in underwater wireless channels. [Internet] [Masters thesis]. Georgia Tech; 2013. [cited 2019 Aug 18]. Available from: http://hdl.handle.net/1853/50418.

Council of Science Editors:

Blankenagel B. Estimation of velocity in underwater wireless channels. [Masters Thesis]. Georgia Tech; 2013. Available from: http://hdl.handle.net/1853/50418


Georgia Tech

5. Temel, Dogancan. Understanding perceived quality through visual representations.

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

 The formatting of images can be considered as an optimization problem, whose cost function is a quality assessment algorithm. There is a trade-off between bit… (more)

Subjects/Keywords: Perceived quality; Visual system; Contrast sensitivity; Suppression; Color perception; Color name; Color difference; Unsupervised learning; Spatial pooling; Boosting

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APA (6th Edition):

Temel, D. (2016). Understanding perceived quality through visual representations. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/56289

Chicago Manual of Style (16th Edition):

Temel, Dogancan. “Understanding perceived quality through visual representations.” 2016. Doctoral Dissertation, Georgia Tech. Accessed August 18, 2019. http://hdl.handle.net/1853/56289.

MLA Handbook (7th Edition):

Temel, Dogancan. “Understanding perceived quality through visual representations.” 2016. Web. 18 Aug 2019.

Vancouver:

Temel D. Understanding perceived quality through visual representations. [Internet] [Doctoral dissertation]. Georgia Tech; 2016. [cited 2019 Aug 18]. Available from: http://hdl.handle.net/1853/56289.

Council of Science Editors:

Temel D. Understanding perceived quality through visual representations. [Doctoral Dissertation]. Georgia Tech; 2016. Available from: http://hdl.handle.net/1853/56289


Georgia Tech

6. Richard, Antoine. Automated analysis of overhead imagery for habitat segmentation.

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

 The overall objective of our project is to be able to classify the evolution of land usage since the advent of aerial imagery. In practice… (more)

Subjects/Keywords: Deep Learning; Neural Networks; Auto-encoders; habitat segmentation; Computer Vision; Machine Learning; land use detection

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APA (6th Edition):

Richard, A. (2018). Automated analysis of overhead imagery for habitat segmentation. (Masters Thesis). Georgia Tech. Retrieved from http://hdl.handle.net/1853/59291

Chicago Manual of Style (16th Edition):

Richard, Antoine. “Automated analysis of overhead imagery for habitat segmentation.” 2018. Masters Thesis, Georgia Tech. Accessed August 18, 2019. http://hdl.handle.net/1853/59291.

MLA Handbook (7th Edition):

Richard, Antoine. “Automated analysis of overhead imagery for habitat segmentation.” 2018. Web. 18 Aug 2019.

Vancouver:

Richard A. Automated analysis of overhead imagery for habitat segmentation. [Internet] [Masters thesis]. Georgia Tech; 2018. [cited 2019 Aug 18]. Available from: http://hdl.handle.net/1853/59291.

Council of Science Editors:

Richard A. Automated analysis of overhead imagery for habitat segmentation. [Masters Thesis]. Georgia Tech; 2018. Available from: http://hdl.handle.net/1853/59291


Georgia Tech

7. Wang, Zhen. Computational seismic interpretation using geometric representation and tensor-based texture analysis.

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

 In hydrocarbon exploration, seismic interpretation is a process that infers geological information from processed seismic data. With the dramatically growing sizes of collected seismic data,… (more)

Subjects/Keywords: Computational seismic interpretation; Geometric representation; Texture analysis; Tensor-based subspace learning

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APA (6th Edition):

Wang, Z. (2018). Computational seismic interpretation using geometric representation and tensor-based texture analysis. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/60223

Chicago Manual of Style (16th Edition):

Wang, Zhen. “Computational seismic interpretation using geometric representation and tensor-based texture analysis.” 2018. Doctoral Dissertation, Georgia Tech. Accessed August 18, 2019. http://hdl.handle.net/1853/60223.

MLA Handbook (7th Edition):

Wang, Zhen. “Computational seismic interpretation using geometric representation and tensor-based texture analysis.” 2018. Web. 18 Aug 2019.

Vancouver:

Wang Z. Computational seismic interpretation using geometric representation and tensor-based texture analysis. [Internet] [Doctoral dissertation]. Georgia Tech; 2018. [cited 2019 Aug 18]. Available from: http://hdl.handle.net/1853/60223.

Council of Science Editors:

Wang Z. Computational seismic interpretation using geometric representation and tensor-based texture analysis. [Doctoral Dissertation]. Georgia Tech; 2018. Available from: http://hdl.handle.net/1853/60223


Georgia Tech

8. Wells, Joshua W. Content-adaptive cross-layer optimized video processing using real-time feature feedback.

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

 The objective of this research is to design a low-power video processing system capable of minimizing power consumption through graceful reduction of the quality of… (more)

Subjects/Keywords: Video processing; Video encoding; Object tracking; Low power; Error tolerant; Content adaptive

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APA (6th Edition):

Wells, J. W. (2017). Content-adaptive cross-layer optimized video processing using real-time feature feedback. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/59751

Chicago Manual of Style (16th Edition):

Wells, Joshua W. “Content-adaptive cross-layer optimized video processing using real-time feature feedback.” 2017. Doctoral Dissertation, Georgia Tech. Accessed August 18, 2019. http://hdl.handle.net/1853/59751.

MLA Handbook (7th Edition):

Wells, Joshua W. “Content-adaptive cross-layer optimized video processing using real-time feature feedback.” 2017. Web. 18 Aug 2019.

Vancouver:

Wells JW. Content-adaptive cross-layer optimized video processing using real-time feature feedback. [Internet] [Doctoral dissertation]. Georgia Tech; 2017. [cited 2019 Aug 18]. Available from: http://hdl.handle.net/1853/59751.

Council of Science Editors:

Wells JW. Content-adaptive cross-layer optimized video processing using real-time feature feedback. [Doctoral Dissertation]. Georgia Tech; 2017. Available from: http://hdl.handle.net/1853/59751


Georgia Tech

9. Shafiq, Muhammad Amir. Computational seismic interpretation using attention models, texture dissimilarity, and learning.

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

 The exploration of oil and gas is a vital part of today's increasing power demands to meet the energy we need to power our homes,… (more)

Subjects/Keywords: Seismic interpretation; Automation; Gradient of texture; Visual saliency; Salsi; SeisSal; Unsupervised learning; Autoencoder; 3D FFT; Multispectral projections; Directional center-surround; Feature maps; Human visual system; Texture dissimilarity; F3 block; Netherlands; North Sea; SEAM; Great South Basin; New Zealand; Stratton; Listric faults; Texas Gulf Coast; Sparse classification

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APA (6th Edition):

Shafiq, M. A. (2018). Computational seismic interpretation using attention models, texture dissimilarity, and learning. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/59889

Chicago Manual of Style (16th Edition):

Shafiq, Muhammad Amir. “Computational seismic interpretation using attention models, texture dissimilarity, and learning.” 2018. Doctoral Dissertation, Georgia Tech. Accessed August 18, 2019. http://hdl.handle.net/1853/59889.

MLA Handbook (7th Edition):

Shafiq, Muhammad Amir. “Computational seismic interpretation using attention models, texture dissimilarity, and learning.” 2018. Web. 18 Aug 2019.

Vancouver:

Shafiq MA. Computational seismic interpretation using attention models, texture dissimilarity, and learning. [Internet] [Doctoral dissertation]. Georgia Tech; 2018. [cited 2019 Aug 18]. Available from: http://hdl.handle.net/1853/59889.

Council of Science Editors:

Shafiq MA. Computational seismic interpretation using attention models, texture dissimilarity, and learning. [Doctoral Dissertation]. Georgia Tech; 2018. Available from: http://hdl.handle.net/1853/59889


Georgia Tech

10. Alshawi, Tariq. Uncertainty estimation of visual attention models using spatiotemporal analysis.

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

 In this dissertation, we analyze eye tracking data and video content to discover general patterns of human visual attention that can be used for estimating… (more)

Subjects/Keywords: Uncertainty; Saliency; Video processing

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APA (6th Edition):

Alshawi, T. (2018). Uncertainty estimation of visual attention models using spatiotemporal analysis. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/60217

Chicago Manual of Style (16th Edition):

Alshawi, Tariq. “Uncertainty estimation of visual attention models using spatiotemporal analysis.” 2018. Doctoral Dissertation, Georgia Tech. Accessed August 18, 2019. http://hdl.handle.net/1853/60217.

MLA Handbook (7th Edition):

Alshawi, Tariq. “Uncertainty estimation of visual attention models using spatiotemporal analysis.” 2018. Web. 18 Aug 2019.

Vancouver:

Alshawi T. Uncertainty estimation of visual attention models using spatiotemporal analysis. [Internet] [Doctoral dissertation]. Georgia Tech; 2018. [cited 2019 Aug 18]. Available from: http://hdl.handle.net/1853/60217.

Council of Science Editors:

Alshawi T. Uncertainty estimation of visual attention models using spatiotemporal analysis. [Doctoral Dissertation]. Georgia Tech; 2018. Available from: http://hdl.handle.net/1853/60217

11. Dixon, Jason Herbert. Pattern-theoretic automatic target recognition for infrared and laser radar data.

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

 Pattern theory, a mathematical framework for representing knowledge of complex patterns developed by applied mathematician Ulf Grenander, has been shown to have potential uses in… (more)

Subjects/Keywords: Automatic target recognition; Infrared; Laser radar; Pattern theory; Cramér-Rao bounds

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APA (6th Edition):

Dixon, J. H. (2015). Pattern-theoretic automatic target recognition for infrared and laser radar data. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/54404

Chicago Manual of Style (16th Edition):

Dixon, Jason Herbert. “Pattern-theoretic automatic target recognition for infrared and laser radar data.” 2015. Doctoral Dissertation, Georgia Tech. Accessed August 18, 2019. http://hdl.handle.net/1853/54404.

MLA Handbook (7th Edition):

Dixon, Jason Herbert. “Pattern-theoretic automatic target recognition for infrared and laser radar data.” 2015. Web. 18 Aug 2019.

Vancouver:

Dixon JH. Pattern-theoretic automatic target recognition for infrared and laser radar data. [Internet] [Doctoral dissertation]. Georgia Tech; 2015. [cited 2019 Aug 18]. Available from: http://hdl.handle.net/1853/54404.

Council of Science Editors:

Dixon JH. Pattern-theoretic automatic target recognition for infrared and laser radar data. [Doctoral Dissertation]. Georgia Tech; 2015. Available from: http://hdl.handle.net/1853/54404

12. Al Marzouqi, Hasan. Curvelet transform with adaptive tiling.

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

 In this dissertation we address the problem of adapting frequency domain tiling using the curvelet transform as the basis algorithm. The optimal tiling, for a… (more)

Subjects/Keywords: Curvelet; Wavelet; Denoising; Compressed sensing; Texture

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APA (6th Edition):

Al Marzouqi, H. (2014). Curvelet transform with adaptive tiling. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/52961

Chicago Manual of Style (16th Edition):

Al Marzouqi, Hasan. “Curvelet transform with adaptive tiling.” 2014. Doctoral Dissertation, Georgia Tech. Accessed August 18, 2019. http://hdl.handle.net/1853/52961.

MLA Handbook (7th Edition):

Al Marzouqi, Hasan. “Curvelet transform with adaptive tiling.” 2014. Web. 18 Aug 2019.

Vancouver:

Al Marzouqi H. Curvelet transform with adaptive tiling. [Internet] [Doctoral dissertation]. Georgia Tech; 2014. [cited 2019 Aug 18]. Available from: http://hdl.handle.net/1853/52961.

Council of Science Editors:

Al Marzouqi H. Curvelet transform with adaptive tiling. [Doctoral Dissertation]. Georgia Tech; 2014. Available from: http://hdl.handle.net/1853/52961

13. Pekkucuksen, Ibrahim Ethem. Edge directed resolution enhancement and demosaicing.

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

 The objective of the proposed research is to develop high performance, low computational complexity resolution enhancement and demosaicing algorithms. Our approach to both problems is… (more)

Subjects/Keywords: Demosaicing; Color filter array interpolation; CFA pattern design; Edge directed interpolation; Resolution enhancement; Image interpolation; Resolution (Optics); Image processing; Algorithms

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APA (6th Edition):

Pekkucuksen, I. E. (2011). Edge directed resolution enhancement and demosaicing. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/42734

Chicago Manual of Style (16th Edition):

Pekkucuksen, Ibrahim Ethem. “Edge directed resolution enhancement and demosaicing.” 2011. Doctoral Dissertation, Georgia Tech. Accessed August 18, 2019. http://hdl.handle.net/1853/42734.

MLA Handbook (7th Edition):

Pekkucuksen, Ibrahim Ethem. “Edge directed resolution enhancement and demosaicing.” 2011. Web. 18 Aug 2019.

Vancouver:

Pekkucuksen IE. Edge directed resolution enhancement and demosaicing. [Internet] [Doctoral dissertation]. Georgia Tech; 2011. [cited 2019 Aug 18]. Available from: http://hdl.handle.net/1853/42734.

Council of Science Editors:

Pekkucuksen IE. Edge directed resolution enhancement and demosaicing. [Doctoral Dissertation]. Georgia Tech; 2011. Available from: http://hdl.handle.net/1853/42734

14. Jafri, Fareed Ud Din M. Constrained PDE optimization methods for motion segmentation and layer extraction.

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

 A layered representation of images allows us to capture motion, shape, appearance and occlusion structure without going into the complexity of a full 3D representation… (more)

Subjects/Keywords: Layered models; Active contours; Mumford-Shah; PDEs

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APA (6th Edition):

Jafri, F. U. D. M. (2018). Constrained PDE optimization methods for motion segmentation and layer extraction. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/60748

Chicago Manual of Style (16th Edition):

Jafri, Fareed Ud Din M. “Constrained PDE optimization methods for motion segmentation and layer extraction.” 2018. Doctoral Dissertation, Georgia Tech. Accessed August 18, 2019. http://hdl.handle.net/1853/60748.

MLA Handbook (7th Edition):

Jafri, Fareed Ud Din M. “Constrained PDE optimization methods for motion segmentation and layer extraction.” 2018. Web. 18 Aug 2019.

Vancouver:

Jafri FUDM. Constrained PDE optimization methods for motion segmentation and layer extraction. [Internet] [Doctoral dissertation]. Georgia Tech; 2018. [cited 2019 Aug 18]. Available from: http://hdl.handle.net/1853/60748.

Council of Science Editors:

Jafri FUDM. Constrained PDE optimization methods for motion segmentation and layer extraction. [Doctoral Dissertation]. Georgia Tech; 2018. Available from: http://hdl.handle.net/1853/60748

15. Aabed, Mohammed A. Perceptual video quality assessment and analysis using adaptive content dynamics.

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

 With the growth of mobile data services and bandwidth, several applications and streaming services have emerged that made video quality and technologies important fields of… (more)

Subjects/Keywords: Video quality; Perception; Video coding; Distortion; Video streaming; Quality assessment

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APA (6th Edition):

Aabed, M. A. (2017). Perceptual video quality assessment and analysis using adaptive content dynamics. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/58222

Chicago Manual of Style (16th Edition):

Aabed, Mohammed A. “Perceptual video quality assessment and analysis using adaptive content dynamics.” 2017. Doctoral Dissertation, Georgia Tech. Accessed August 18, 2019. http://hdl.handle.net/1853/58222.

MLA Handbook (7th Edition):

Aabed, Mohammed A. “Perceptual video quality assessment and analysis using adaptive content dynamics.” 2017. Web. 18 Aug 2019.

Vancouver:

Aabed MA. Perceptual video quality assessment and analysis using adaptive content dynamics. [Internet] [Doctoral dissertation]. Georgia Tech; 2017. [cited 2019 Aug 18]. Available from: http://hdl.handle.net/1853/58222.

Council of Science Editors:

Aabed MA. Perceptual video quality assessment and analysis using adaptive content dynamics. [Doctoral Dissertation]. Georgia Tech; 2017. Available from: http://hdl.handle.net/1853/58222

16. Shakil, Sadia. Windowing effects and adaptive change point detection of dynamic functional connectivity in the brain.

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

 Evidence of networks in the resting-brain reflecting the spontaneous brain activity is perhaps the most significant discovery to understand intrinsic brain functionality. Moreover, subsequent detection… (more)

Subjects/Keywords: Dynamic functional connectivity; Sliding window correlation; Adaptive change point detection; Network dynamics

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APA (6th Edition):

Shakil, S. (2016). Windowing effects and adaptive change point detection of dynamic functional connectivity in the brain. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/55006

Chicago Manual of Style (16th Edition):

Shakil, Sadia. “Windowing effects and adaptive change point detection of dynamic functional connectivity in the brain.” 2016. Doctoral Dissertation, Georgia Tech. Accessed August 18, 2019. http://hdl.handle.net/1853/55006.

MLA Handbook (7th Edition):

Shakil, Sadia. “Windowing effects and adaptive change point detection of dynamic functional connectivity in the brain.” 2016. Web. 18 Aug 2019.

Vancouver:

Shakil S. Windowing effects and adaptive change point detection of dynamic functional connectivity in the brain. [Internet] [Doctoral dissertation]. Georgia Tech; 2016. [cited 2019 Aug 18]. Available from: http://hdl.handle.net/1853/55006.

Council of Science Editors:

Shakil S. Windowing effects and adaptive change point detection of dynamic functional connectivity in the brain. [Doctoral Dissertation]. Georgia Tech; 2016. Available from: http://hdl.handle.net/1853/55006

17. Mushtaq, Aleem. An integrated approach to feature compensation combining particle filters and Hidden Markov Models for robust speech recognition.

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

 The performance of automatic speech recognition systems often degrades in adverse conditions where there is a mismatch between training and testing conditions. This is true… (more)

Subjects/Keywords: Particle filter; Hidden Markov model; Robust speech recognition; Clustering; Markov chain Monte Carlo; Hidden Markov models; Speech perception; Monte Carlo method; Algorithms

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APA (6th Edition):

Mushtaq, A. (2013). An integrated approach to feature compensation combining particle filters and Hidden Markov Models for robust speech recognition. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/48982

Chicago Manual of Style (16th Edition):

Mushtaq, Aleem. “An integrated approach to feature compensation combining particle filters and Hidden Markov Models for robust speech recognition.” 2013. Doctoral Dissertation, Georgia Tech. Accessed August 18, 2019. http://hdl.handle.net/1853/48982.

MLA Handbook (7th Edition):

Mushtaq, Aleem. “An integrated approach to feature compensation combining particle filters and Hidden Markov Models for robust speech recognition.” 2013. Web. 18 Aug 2019.

Vancouver:

Mushtaq A. An integrated approach to feature compensation combining particle filters and Hidden Markov Models for robust speech recognition. [Internet] [Doctoral dissertation]. Georgia Tech; 2013. [cited 2019 Aug 18]. Available from: http://hdl.handle.net/1853/48982.

Council of Science Editors:

Mushtaq A. An integrated approach to feature compensation combining particle filters and Hidden Markov Models for robust speech recognition. [Doctoral Dissertation]. Georgia Tech; 2013. Available from: http://hdl.handle.net/1853/48982

18. Tsao, Cheng-Lin. Rapid application mobilization and delivery for smartphones.

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

 Smartphones form an emerging mobile computing platform that has hybrid characteristics borrowed from PC and feature phone environments. While maintaining great mobility and portability as… (more)

Subjects/Keywords: Wireless networks; Bandwidth aggregation; Mobile computing; Smartphone; Remote computing; Mobile application; Wireless communication systems; Mobile communication systems; Cell phones; Smartphones; Pocket computers

…111 38 Comparison of PC version, mobile version, and *Mobile of Georgia Tech T-Square… 

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APA (6th Edition):

Tsao, C. (2012). Rapid application mobilization and delivery for smartphones. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/49022

Chicago Manual of Style (16th Edition):

Tsao, Cheng-Lin. “Rapid application mobilization and delivery for smartphones.” 2012. Doctoral Dissertation, Georgia Tech. Accessed August 18, 2019. http://hdl.handle.net/1853/49022.

MLA Handbook (7th Edition):

Tsao, Cheng-Lin. “Rapid application mobilization and delivery for smartphones.” 2012. Web. 18 Aug 2019.

Vancouver:

Tsao C. Rapid application mobilization and delivery for smartphones. [Internet] [Doctoral dissertation]. Georgia Tech; 2012. [cited 2019 Aug 18]. Available from: http://hdl.handle.net/1853/49022.

Council of Science Editors:

Tsao C. Rapid application mobilization and delivery for smartphones. [Doctoral Dissertation]. Georgia Tech; 2012. Available from: http://hdl.handle.net/1853/49022

19. Li, Qing. Densely integrated photonic structures for on-chip signal processing.

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

 Microelectronics has enjoyed great success in the past century. As the technology node progresses, the complementary metal-oxide-semiconductor scaling has already reached a wall, and serious… (more)

Subjects/Keywords: Photonic; Silicon-on-insulator; Chip; Microresonators; Photonics; Microresonators (Optoelectronics); Silicon-on-insulator technology; Silicon nitride; Microelectronics; Microelectronics Research

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APA (6th Edition):

Li, Q. (2013). Densely integrated photonic structures for on-chip signal processing. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/49035

Chicago Manual of Style (16th Edition):

Li, Qing. “Densely integrated photonic structures for on-chip signal processing.” 2013. Doctoral Dissertation, Georgia Tech. Accessed August 18, 2019. http://hdl.handle.net/1853/49035.

MLA Handbook (7th Edition):

Li, Qing. “Densely integrated photonic structures for on-chip signal processing.” 2013. Web. 18 Aug 2019.

Vancouver:

Li Q. Densely integrated photonic structures for on-chip signal processing. [Internet] [Doctoral dissertation]. Georgia Tech; 2013. [cited 2019 Aug 18]. Available from: http://hdl.handle.net/1853/49035.

Council of Science Editors:

Li Q. Densely integrated photonic structures for on-chip signal processing. [Doctoral Dissertation]. Georgia Tech; 2013. Available from: http://hdl.handle.net/1853/49035

20. Wei, Xiangmin. GPR data processing for reinforced concrete bridge decks.

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

 In this thesis, several aspects of GPR data processing for RC bridge decks are studied. First, autofocusing techniques are proposed to replace the previous expensive… (more)

Subjects/Keywords: Ground penetrating radar; Image processing; Non-destructive evaluation; Autofocusing; F-K filter; Reinforced concrete bridge deck; Compressive sensing; Migration; Velocity analysis

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APA (6th Edition):

Wei, X. (2014). GPR data processing for reinforced concrete bridge decks. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/53066

Chicago Manual of Style (16th Edition):

Wei, Xiangmin. “GPR data processing for reinforced concrete bridge decks.” 2014. Doctoral Dissertation, Georgia Tech. Accessed August 18, 2019. http://hdl.handle.net/1853/53066.

MLA Handbook (7th Edition):

Wei, Xiangmin. “GPR data processing for reinforced concrete bridge decks.” 2014. Web. 18 Aug 2019.

Vancouver:

Wei X. GPR data processing for reinforced concrete bridge decks. [Internet] [Doctoral dissertation]. Georgia Tech; 2014. [cited 2019 Aug 18]. Available from: http://hdl.handle.net/1853/53066.

Council of Science Editors:

Wei X. GPR data processing for reinforced concrete bridge decks. [Doctoral Dissertation]. Georgia Tech; 2014. Available from: http://hdl.handle.net/1853/53066

21. Krueger, Kyle R. Model design for algorithmic efficiency in electromagnetic sensing.

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

 The objective of the proposed research is to develop structural changes to the design and application of electromagnetic (EM) sensing models to more efficiently and… (more)

Subjects/Keywords: Ground-penetrating radar; Electromagnetic induction sensors; Fast Fourier transform; Compressive sensing; Semidefinite programming; Electromagnetic fields; Detectors; Land mines; Ground penetrating radar; Computer algorithms

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APA (6th Edition):

Krueger, K. R. (2013). Model design for algorithmic efficiency in electromagnetic sensing. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/50402

Chicago Manual of Style (16th Edition):

Krueger, Kyle R. “Model design for algorithmic efficiency in electromagnetic sensing.” 2013. Doctoral Dissertation, Georgia Tech. Accessed August 18, 2019. http://hdl.handle.net/1853/50402.

MLA Handbook (7th Edition):

Krueger, Kyle R. “Model design for algorithmic efficiency in electromagnetic sensing.” 2013. Web. 18 Aug 2019.

Vancouver:

Krueger KR. Model design for algorithmic efficiency in electromagnetic sensing. [Internet] [Doctoral dissertation]. Georgia Tech; 2013. [cited 2019 Aug 18]. Available from: http://hdl.handle.net/1853/50402.

Council of Science Editors:

Krueger KR. Model design for algorithmic efficiency in electromagnetic sensing. [Doctoral Dissertation]. Georgia Tech; 2013. Available from: http://hdl.handle.net/1853/50402

22. German, Stephanie Ann. Automated damage assessment of reinforced concrete columns for post-earthquake evaluations.

Degree: PhD, Civil and Environmental Engineering, 2013, Georgia Tech

 An automated method in damage state assessment of reinforced concrete columns for the purpose of establishing a rapid and quantitative post-earthquake safety and structural evaluation… (more)

Subjects/Keywords: Damage property retrieval; Damage detection; Reinforced concrete; Post-earthquake; Safety evaluations; Computer vision; Structural health monitoring; Structural analysis (Engineering); Nondestructive testing; Image processing

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APA (6th Edition):

German, S. A. (2013). Automated damage assessment of reinforced concrete columns for post-earthquake evaluations. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/47686

Chicago Manual of Style (16th Edition):

German, Stephanie Ann. “Automated damage assessment of reinforced concrete columns for post-earthquake evaluations.” 2013. Doctoral Dissertation, Georgia Tech. Accessed August 18, 2019. http://hdl.handle.net/1853/47686.

MLA Handbook (7th Edition):

German, Stephanie Ann. “Automated damage assessment of reinforced concrete columns for post-earthquake evaluations.” 2013. Web. 18 Aug 2019.

Vancouver:

German SA. Automated damage assessment of reinforced concrete columns for post-earthquake evaluations. [Internet] [Doctoral dissertation]. Georgia Tech; 2013. [cited 2019 Aug 18]. Available from: http://hdl.handle.net/1853/47686.

Council of Science Editors:

German SA. Automated damage assessment of reinforced concrete columns for post-earthquake evaluations. [Doctoral Dissertation]. Georgia Tech; 2013. Available from: http://hdl.handle.net/1853/47686

23. Azgin, Aytac. Service quality assurance for the IPTV networks.

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

 The objective of the proposed research is to design and evaluate end-to-end solutions to support the Quality of Experience (QoE) for the Internet Protocol Television… (more)

Subjects/Keywords: IPTV; Content delivery network; Channel change latency; Error control; Hybrid ARQ; Loss correlation; Peer-assisted networks; Cooperative recovery; Internet television; Automatic control; Telecommunication; Network performance (Telecommunication)

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APA (6th Edition):

Azgin, A. (2013). Service quality assurance for the IPTV networks. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/48961

Chicago Manual of Style (16th Edition):

Azgin, Aytac. “Service quality assurance for the IPTV networks.” 2013. Doctoral Dissertation, Georgia Tech. Accessed August 18, 2019. http://hdl.handle.net/1853/48961.

MLA Handbook (7th Edition):

Azgin, Aytac. “Service quality assurance for the IPTV networks.” 2013. Web. 18 Aug 2019.

Vancouver:

Azgin A. Service quality assurance for the IPTV networks. [Internet] [Doctoral dissertation]. Georgia Tech; 2013. [cited 2019 Aug 18]. Available from: http://hdl.handle.net/1853/48961.

Council of Science Editors:

Azgin A. Service quality assurance for the IPTV networks. [Doctoral Dissertation]. Georgia Tech; 2013. Available from: http://hdl.handle.net/1853/48961

24. Yang, Hengzhao. Task scheduling in supercapacitor based environmentally powered wireless sensor nodes.

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

 The objective of this dissertation is to develop task scheduling guidelines and algorithms for wireless sensor nodes that harvest energy from ambient environment and use… (more)

Subjects/Keywords: Task scheduling; Supercapacitor; Energy harvesting; Wireless sensor nodes; Power management; Sensor networks; Detectors; Timing circuits

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APA (6th Edition):

Yang, H. (2013). Task scheduling in supercapacitor based environmentally powered wireless sensor nodes. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/48962

Chicago Manual of Style (16th Edition):

Yang, Hengzhao. “Task scheduling in supercapacitor based environmentally powered wireless sensor nodes.” 2013. Doctoral Dissertation, Georgia Tech. Accessed August 18, 2019. http://hdl.handle.net/1853/48962.

MLA Handbook (7th Edition):

Yang, Hengzhao. “Task scheduling in supercapacitor based environmentally powered wireless sensor nodes.” 2013. Web. 18 Aug 2019.

Vancouver:

Yang H. Task scheduling in supercapacitor based environmentally powered wireless sensor nodes. [Internet] [Doctoral dissertation]. Georgia Tech; 2013. [cited 2019 Aug 18]. Available from: http://hdl.handle.net/1853/48962.

Council of Science Editors:

Yang H. Task scheduling in supercapacitor based environmentally powered wireless sensor nodes. [Doctoral Dissertation]. Georgia Tech; 2013. Available from: http://hdl.handle.net/1853/48962

25. Sun, Yixuan. Near-wellbore processes in naturally fractured or weakly consolidated formations.

Degree: PhD, Civil and Environmental Engineering, 2017, Georgia Tech

 Drilling and completion in naturally fractured or weakly consolidated formations could be challenging. While drilling through naturally fractured reservoirs, severe lost circulation is a major… (more)

Subjects/Keywords: Drilling mud loss; Hydraulic fracture model; DEM modeling; Fluid injection

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APA (6th Edition):

Sun, Y. (2017). Near-wellbore processes in naturally fractured or weakly consolidated formations. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/58281

Chicago Manual of Style (16th Edition):

Sun, Yixuan. “Near-wellbore processes in naturally fractured or weakly consolidated formations.” 2017. Doctoral Dissertation, Georgia Tech. Accessed August 18, 2019. http://hdl.handle.net/1853/58281.

MLA Handbook (7th Edition):

Sun, Yixuan. “Near-wellbore processes in naturally fractured or weakly consolidated formations.” 2017. Web. 18 Aug 2019.

Vancouver:

Sun Y. Near-wellbore processes in naturally fractured or weakly consolidated formations. [Internet] [Doctoral dissertation]. Georgia Tech; 2017. [cited 2019 Aug 18]. Available from: http://hdl.handle.net/1853/58281.

Council of Science Editors:

Sun Y. Near-wellbore processes in naturally fractured or weakly consolidated formations. [Doctoral Dissertation]. Georgia Tech; 2017. Available from: http://hdl.handle.net/1853/58281

26. 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 August 18, 2019. http://hdl.handle.net/1853/50281.

MLA Handbook (7th Edition):

Chen, Mingyu. “Universal motion-based control and motion recognition.” 2013. Web. 18 Aug 2019.

Vancouver:

Chen M. Universal motion-based control and motion recognition. [Internet] [Doctoral dissertation]. Georgia Tech; 2013. [cited 2019 Aug 18]. 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

27. Zhu, Lingchen. Sparse seismic signal processing using adaptive dictionaries.

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

 Seismic surveys have become the primary measurement tool of exploration geophysics, both onshore and offshore, with significant signal processing needed to estimate the properties of… (more)

Subjects/Keywords: Seismology; Geophysics; Optimization; Sparse signal processing; Compressive sensing; Dictionary learning; Denoising; Inpainting; Full waveform inversion

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APA (6th Edition):

Zhu, L. (2016). Sparse seismic signal processing using adaptive dictionaries. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/56234

Chicago Manual of Style (16th Edition):

Zhu, Lingchen. “Sparse seismic signal processing using adaptive dictionaries.” 2016. Doctoral Dissertation, Georgia Tech. Accessed August 18, 2019. http://hdl.handle.net/1853/56234.

MLA Handbook (7th Edition):

Zhu, Lingchen. “Sparse seismic signal processing using adaptive dictionaries.” 2016. Web. 18 Aug 2019.

Vancouver:

Zhu L. Sparse seismic signal processing using adaptive dictionaries. [Internet] [Doctoral dissertation]. Georgia Tech; 2016. [cited 2019 Aug 18]. Available from: http://hdl.handle.net/1853/56234.

Council of Science Editors:

Zhu L. Sparse seismic signal processing using adaptive dictionaries. [Doctoral Dissertation]. Georgia Tech; 2016. Available from: http://hdl.handle.net/1853/56234


Georgia Tech

28. Siplon, Jonathan Page. Affine Transform Motion Compensation for intermodal Cargo Identification.

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

 The volume of cargo flowing through todays transportation system is growing at an ever increasing rate. Recent studies show that 90% of all international cargo… (more)

Subjects/Keywords: Affine motion compensation seaports

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APA (6th Edition):

Siplon, J. P. (2005). Affine Transform Motion Compensation for intermodal Cargo Identification. (Masters Thesis). Georgia Tech. Retrieved from http://hdl.handle.net/1853/7137

Chicago Manual of Style (16th Edition):

Siplon, Jonathan Page. “Affine Transform Motion Compensation for intermodal Cargo Identification.” 2005. Masters Thesis, Georgia Tech. Accessed August 18, 2019. http://hdl.handle.net/1853/7137.

MLA Handbook (7th Edition):

Siplon, Jonathan Page. “Affine Transform Motion Compensation for intermodal Cargo Identification.” 2005. Web. 18 Aug 2019.

Vancouver:

Siplon JP. Affine Transform Motion Compensation for intermodal Cargo Identification. [Internet] [Masters thesis]. Georgia Tech; 2005. [cited 2019 Aug 18]. Available from: http://hdl.handle.net/1853/7137.

Council of Science Editors:

Siplon JP. Affine Transform Motion Compensation for intermodal Cargo Identification. [Masters Thesis]. Georgia Tech; 2005. Available from: http://hdl.handle.net/1853/7137


Georgia Tech

29. Tian, Dihong. Streaming Three-Dimensional Graphics with Optimized Transmission and Rendering Scalability.

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

 Distributed three-dimensional (3D) graphics applications exhibit both resemblance and uniqueness in comparison with conventional streaming media applications. The resemblance relates to the large data volume… (more)

Subjects/Keywords: Multimedia; Multi-resolution compression; Source and channel coding; Error resilience; Rate-distortion optimization

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APA (6th Edition):

Tian, D. (2006). Streaming Three-Dimensional Graphics with Optimized Transmission and Rendering Scalability. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/14081

Chicago Manual of Style (16th Edition):

Tian, Dihong. “Streaming Three-Dimensional Graphics with Optimized Transmission and Rendering Scalability.” 2006. Doctoral Dissertation, Georgia Tech. Accessed August 18, 2019. http://hdl.handle.net/1853/14081.

MLA Handbook (7th Edition):

Tian, Dihong. “Streaming Three-Dimensional Graphics with Optimized Transmission and Rendering Scalability.” 2006. Web. 18 Aug 2019.

Vancouver:

Tian D. Streaming Three-Dimensional Graphics with Optimized Transmission and Rendering Scalability. [Internet] [Doctoral dissertation]. Georgia Tech; 2006. [cited 2019 Aug 18]. Available from: http://hdl.handle.net/1853/14081.

Council of Science Editors:

Tian D. Streaming Three-Dimensional Graphics with Optimized Transmission and Rendering Scalability. [Doctoral Dissertation]. Georgia Tech; 2006. Available from: http://hdl.handle.net/1853/14081


Georgia Tech

30. Kim, Hyungjoon. Low-Complexity Mode Selection for Rate-Distortion Optimal Video Coding.

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

 The primary objective of this thesis is to provide a low-complexity rate-distortion optimal coding mode selection method in digital video encoding. To achieve optimal compression… (more)

Subjects/Keywords: Mode selection; MPEG; Video coding

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APA (6th Edition):

Kim, H. (2007). Low-Complexity Mode Selection for Rate-Distortion Optimal Video Coding. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/14513

Chicago Manual of Style (16th Edition):

Kim, Hyungjoon. “Low-Complexity Mode Selection for Rate-Distortion Optimal Video Coding.” 2007. Doctoral Dissertation, Georgia Tech. Accessed August 18, 2019. http://hdl.handle.net/1853/14513.

MLA Handbook (7th Edition):

Kim, Hyungjoon. “Low-Complexity Mode Selection for Rate-Distortion Optimal Video Coding.” 2007. Web. 18 Aug 2019.

Vancouver:

Kim H. Low-Complexity Mode Selection for Rate-Distortion Optimal Video Coding. [Internet] [Doctoral dissertation]. Georgia Tech; 2007. [cited 2019 Aug 18]. Available from: http://hdl.handle.net/1853/14513.

Council of Science Editors:

Kim H. Low-Complexity Mode Selection for Rate-Distortion Optimal Video Coding. [Doctoral Dissertation]. Georgia Tech; 2007. Available from: http://hdl.handle.net/1853/14513

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