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Dept: Electrical Engineering  Level: doctoral

You searched for subject:(Brownian motion processes ). Showing records 1 – 30 of 41 total matches.

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University of Minnesota

1. Wu, Kai. Magneto-Nanosensor Platforms for Biosensing Applications.

Degree: PhD, Electrical Engineering, 2017, University of Minnesota

 In recent years, magnetic nanoparticles (MNPs) have been widely used in clinical and medical applications. MNPs are used as contrast agents in magnetic particle imaging… (more)

Subjects/Keywords: Brownian and Néel relaxation; giant magnetoresistance biosensor; immunoassay; Influenza A virus; magnetic nanoparticles; search coil

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APA (6th Edition):

Wu, K. (2017). Magneto-Nanosensor Platforms for Biosensing Applications. (Doctoral Dissertation). University of Minnesota. Retrieved from http://hdl.handle.net/11299/198407

Chicago Manual of Style (16th Edition):

Wu, Kai. “Magneto-Nanosensor Platforms for Biosensing Applications.” 2017. Doctoral Dissertation, University of Minnesota. Accessed December 13, 2019. http://hdl.handle.net/11299/198407.

MLA Handbook (7th Edition):

Wu, Kai. “Magneto-Nanosensor Platforms for Biosensing Applications.” 2017. Web. 13 Dec 2019.

Vancouver:

Wu K. Magneto-Nanosensor Platforms for Biosensing Applications. [Internet] [Doctoral dissertation]. University of Minnesota; 2017. [cited 2019 Dec 13]. Available from: http://hdl.handle.net/11299/198407.

Council of Science Editors:

Wu K. Magneto-Nanosensor Platforms for Biosensing Applications. [Doctoral Dissertation]. University of Minnesota; 2017. Available from: http://hdl.handle.net/11299/198407


NSYSU

2. Wu, Ming-te. Coding Performance Enhancement: Motion Estimation and Video Transcoding.

Degree: PhD, Electrical Engineering, 2009, NSYSU

 With the rapid growth of multimedia information, video coding standards have become crucial when transmitting large amount of video data. Motion estimation promises to be… (more)

Subjects/Keywords: video transcoding; motion estimation

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APA (6th Edition):

Wu, M. (2009). Coding Performance Enhancement: Motion Estimation and Video Transcoding. (Doctoral Dissertation). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0605109-162538

Chicago Manual of Style (16th Edition):

Wu, Ming-te. “Coding Performance Enhancement: Motion Estimation and Video Transcoding.” 2009. Doctoral Dissertation, NSYSU. Accessed December 13, 2019. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0605109-162538.

MLA Handbook (7th Edition):

Wu, Ming-te. “Coding Performance Enhancement: Motion Estimation and Video Transcoding.” 2009. Web. 13 Dec 2019.

Vancouver:

Wu M. Coding Performance Enhancement: Motion Estimation and Video Transcoding. [Internet] [Doctoral dissertation]. NSYSU; 2009. [cited 2019 Dec 13]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0605109-162538.

Council of Science Editors:

Wu M. Coding Performance Enhancement: Motion Estimation and Video Transcoding. [Doctoral Dissertation]. NSYSU; 2009. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0605109-162538


University of Southern California

3. Zhang, Qi. Advanced techniques for high fidelity video coding.

Degree: PhD, Electrical Engineering, 2010, University of Southern California

 This research focuses on two advanced techniques for high-bit-rate video coding: 1) subpel motion estimation and 2) residual processing.; First, we study sup-pixel motion estimation… (more)

Subjects/Keywords: subpixel motion search; complexity; error surface modeling; fast motion estimation; motion vector prediction; multi-order residual; MOR

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APA (6th Edition):

Zhang, Q. (2010). Advanced techniques for high fidelity video coding. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/352557/rec/550

Chicago Manual of Style (16th Edition):

Zhang, Qi. “Advanced techniques for high fidelity video coding.” 2010. Doctoral Dissertation, University of Southern California. Accessed December 13, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/352557/rec/550.

MLA Handbook (7th Edition):

Zhang, Qi. “Advanced techniques for high fidelity video coding.” 2010. Web. 13 Dec 2019.

Vancouver:

Zhang Q. Advanced techniques for high fidelity video coding. [Internet] [Doctoral dissertation]. University of Southern California; 2010. [cited 2019 Dec 13]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/352557/rec/550.

Council of Science Editors:

Zhang Q. Advanced techniques for high fidelity video coding. [Doctoral Dissertation]. University of Southern California; 2010. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/352557/rec/550


University of Southern California

4. Tseng, Ko-Chung. Neuromorphic motion sensing circuits in a silicon retina.

Degree: PhD, Electrical Engineering, 2012, University of Southern California

 In the biological retina, the feedback and lateral pathways among retinal neurons construct a complicated network that contributes to motion sensing in the retina. When… (more)

Subjects/Keywords: silicon retina; neuromorphic circuit; motion detection

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APA (6th Edition):

Tseng, K. (2012). Neuromorphic motion sensing circuits in a silicon retina. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/99615/rec/4374

Chicago Manual of Style (16th Edition):

Tseng, Ko-Chung. “Neuromorphic motion sensing circuits in a silicon retina.” 2012. Doctoral Dissertation, University of Southern California. Accessed December 13, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/99615/rec/4374.

MLA Handbook (7th Edition):

Tseng, Ko-Chung. “Neuromorphic motion sensing circuits in a silicon retina.” 2012. Web. 13 Dec 2019.

Vancouver:

Tseng K. Neuromorphic motion sensing circuits in a silicon retina. [Internet] [Doctoral dissertation]. University of Southern California; 2012. [cited 2019 Dec 13]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/99615/rec/4374.

Council of Science Editors:

Tseng K. Neuromorphic motion sensing circuits in a silicon retina. [Doctoral Dissertation]. University of Southern California; 2012. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/99615/rec/4374


University of Southern California

5. Lou, Chung-Cheng. Low complexity and high efficiency prediction techniques for video coding.

Degree: PhD, Electrical Engineering, 2011, University of Southern California

 Video compression has been extensively studied in the last two decades. The success of a coding algorithm relies on the effective removal of spatial and… (more)

Subjects/Keywords: motion estimation; MV search window prediction; mobile devices; memory-constrained system; video coding; motion search range; motion vector prediction; adaptive search range selection; high efficiency video coding

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APA (6th Edition):

Lou, C. (2011). Low complexity and high efficiency prediction techniques for video coding. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/657287/rec/3876

Chicago Manual of Style (16th Edition):

Lou, Chung-Cheng. “Low complexity and high efficiency prediction techniques for video coding.” 2011. Doctoral Dissertation, University of Southern California. Accessed December 13, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/657287/rec/3876.

MLA Handbook (7th Edition):

Lou, Chung-Cheng. “Low complexity and high efficiency prediction techniques for video coding.” 2011. Web. 13 Dec 2019.

Vancouver:

Lou C. Low complexity and high efficiency prediction techniques for video coding. [Internet] [Doctoral dissertation]. University of Southern California; 2011. [cited 2019 Dec 13]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/657287/rec/3876.

Council of Science Editors:

Lou C. Low complexity and high efficiency prediction techniques for video coding. [Doctoral Dissertation]. University of Southern California; 2011. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/657287/rec/3876


University of Southern California

6. Kuo, May-chen. Mocap data compression: algorithms and performance evaluation.

Degree: PhD, Electrical Engineering, 2010, University of Southern California

 The mocap data has been widely used in many motion synthesis applications for education, medical diagnosis, entertainment, etc. In the entertainment business, the synthesized motion(more)

Subjects/Keywords: motion capture data; compression; algorithm; vector quantization; perception-based algorithm

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APA (6th Edition):

Kuo, M. (2010). Mocap data compression: algorithms and performance evaluation. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/384320/rec/4103

Chicago Manual of Style (16th Edition):

Kuo, May-chen. “Mocap data compression: algorithms and performance evaluation.” 2010. Doctoral Dissertation, University of Southern California. Accessed December 13, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/384320/rec/4103.

MLA Handbook (7th Edition):

Kuo, May-chen. “Mocap data compression: algorithms and performance evaluation.” 2010. Web. 13 Dec 2019.

Vancouver:

Kuo M. Mocap data compression: algorithms and performance evaluation. [Internet] [Doctoral dissertation]. University of Southern California; 2010. [cited 2019 Dec 13]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/384320/rec/4103.

Council of Science Editors:

Kuo M. Mocap data compression: algorithms and performance evaluation. [Doctoral Dissertation]. University of Southern California; 2010. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/384320/rec/4103


University of Minnesota

7. Zheng, Fei. A Two Dimensional Speckle Tracking Method Based on Zero Phase Crossing in Ultrasound.

Degree: PhD, Electrical Engineering, 2015, University of Minnesota

 Displacement estimation in ultrasound is a common yet important task for various applications, including tissue/blood motion estimation, elastography imaging, temperature estimation, and shear wave elasticity… (more)

Subjects/Keywords: motion tracking; speckle tracking; ultrasound imaging; zero phase crossing

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APA (6th Edition):

Zheng, F. (2015). A Two Dimensional Speckle Tracking Method Based on Zero Phase Crossing in Ultrasound. (Doctoral Dissertation). University of Minnesota. Retrieved from http://hdl.handle.net/11299/175388

Chicago Manual of Style (16th Edition):

Zheng, Fei. “A Two Dimensional Speckle Tracking Method Based on Zero Phase Crossing in Ultrasound.” 2015. Doctoral Dissertation, University of Minnesota. Accessed December 13, 2019. http://hdl.handle.net/11299/175388.

MLA Handbook (7th Edition):

Zheng, Fei. “A Two Dimensional Speckle Tracking Method Based on Zero Phase Crossing in Ultrasound.” 2015. Web. 13 Dec 2019.

Vancouver:

Zheng F. A Two Dimensional Speckle Tracking Method Based on Zero Phase Crossing in Ultrasound. [Internet] [Doctoral dissertation]. University of Minnesota; 2015. [cited 2019 Dec 13]. Available from: http://hdl.handle.net/11299/175388.

Council of Science Editors:

Zheng F. A Two Dimensional Speckle Tracking Method Based on Zero Phase Crossing in Ultrasound. [Doctoral Dissertation]. University of Minnesota; 2015. Available from: http://hdl.handle.net/11299/175388


University of Southern California

8. Zhao, Xuemei. Motion pattern learning and applications to tracking and detection.

Degree: PhD, Electrical Engineering, 2014, University of Southern California

 With the decreasing cost of collecting data, the deluge of surveillance videos makes it necessary to carry out automatic intelligent processing to understand scenes and… (more)

Subjects/Keywords: motion pattern; tracking; detection; crowded scene; tensor voting

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APA (6th Edition):

Zhao, X. (2014). Motion pattern learning and applications to tracking and detection. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/316458/rec/4223

Chicago Manual of Style (16th Edition):

Zhao, Xuemei. “Motion pattern learning and applications to tracking and detection.” 2014. Doctoral Dissertation, University of Southern California. Accessed December 13, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/316458/rec/4223.

MLA Handbook (7th Edition):

Zhao, Xuemei. “Motion pattern learning and applications to tracking and detection.” 2014. Web. 13 Dec 2019.

Vancouver:

Zhao X. Motion pattern learning and applications to tracking and detection. [Internet] [Doctoral dissertation]. University of Southern California; 2014. [cited 2019 Dec 13]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/316458/rec/4223.

Council of Science Editors:

Zhao X. Motion pattern learning and applications to tracking and detection. [Doctoral Dissertation]. University of Southern California; 2014. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/316458/rec/4223


University of Notre Dame

9. Radha Krishna Ganti. A Stochastic Geometry Approach to the Interference and Outage Characterization of Large Wireless Networks</h1>.

Degree: PhD, Electrical Engineering, 2009, University of Notre Dame

  This thesis characterizes the relationship between the geometry of a wireless network and its performance. The geometry of the network is largely influenced by… (more)

Subjects/Keywords: Stochastic Geometry; Interference; Ad Hoc; Wireless; Point Processes

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APA (6th Edition):

Ganti, R. K. (2009). A Stochastic Geometry Approach to the Interference and Outage Characterization of Large Wireless Networks</h1>. (Doctoral Dissertation). University of Notre Dame. Retrieved from https://curate.nd.edu/show/db78tb11p5k

Chicago Manual of Style (16th Edition):

Ganti, Radha Krishna. “A Stochastic Geometry Approach to the Interference and Outage Characterization of Large Wireless Networks</h1>.” 2009. Doctoral Dissertation, University of Notre Dame. Accessed December 13, 2019. https://curate.nd.edu/show/db78tb11p5k.

MLA Handbook (7th Edition):

Ganti, Radha Krishna. “A Stochastic Geometry Approach to the Interference and Outage Characterization of Large Wireless Networks</h1>.” 2009. Web. 13 Dec 2019.

Vancouver:

Ganti RK. A Stochastic Geometry Approach to the Interference and Outage Characterization of Large Wireless Networks</h1>. [Internet] [Doctoral dissertation]. University of Notre Dame; 2009. [cited 2019 Dec 13]. Available from: https://curate.nd.edu/show/db78tb11p5k.

Council of Science Editors:

Ganti RK. A Stochastic Geometry Approach to the Interference and Outage Characterization of Large Wireless Networks</h1>. [Doctoral Dissertation]. University of Notre Dame; 2009. Available from: https://curate.nd.edu/show/db78tb11p5k


University of Southern California

10. Chung, Hyukjune. Complexity scalable and robust motion estimation for video compression.

Degree: PhD, Electrical Engineering, 2007, University of Southern California

 Thanks to the fast development of network technology, transmission of high quality multimedia data becomes essential. However, the growth of data transferring capability is not… (more)

Subjects/Keywords: low complexity; motion estimation; motion compensation; video compression; memory management control; error tolerance

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APA (6th Edition):

Chung, H. (2007). Complexity scalable and robust motion estimation for video compression. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/327291/rec/1526

Chicago Manual of Style (16th Edition):

Chung, Hyukjune. “Complexity scalable and robust motion estimation for video compression.” 2007. Doctoral Dissertation, University of Southern California. Accessed December 13, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/327291/rec/1526.

MLA Handbook (7th Edition):

Chung, Hyukjune. “Complexity scalable and robust motion estimation for video compression.” 2007. Web. 13 Dec 2019.

Vancouver:

Chung H. Complexity scalable and robust motion estimation for video compression. [Internet] [Doctoral dissertation]. University of Southern California; 2007. [cited 2019 Dec 13]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/327291/rec/1526.

Council of Science Editors:

Chung H. Complexity scalable and robust motion estimation for video compression. [Doctoral Dissertation]. University of Southern California; 2007. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/327291/rec/1526


Penn State University

11. Park, Joonho Daniel. Steganographic sonar.

Degree: PhD, Electrical Engineering, 2016, Penn State University

 Steganographic transmission waveforms are desirable for many underwater applications such as underwater acoustic communications, surveillance, detection, and tracking. In the context of active sonar tracking,… (more)

Subjects/Keywords: sonar; signal processing; tracking; steganography; information theory; detection; estimation; motion modeling; sound modeling; waveform design

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APA (6th Edition):

Park, J. D. (2016). Steganographic sonar. (Doctoral Dissertation). Penn State University. Retrieved from https://etda.libraries.psu.edu/catalog/13425jdp971

Chicago Manual of Style (16th Edition):

Park, Joonho Daniel. “Steganographic sonar.” 2016. Doctoral Dissertation, Penn State University. Accessed December 13, 2019. https://etda.libraries.psu.edu/catalog/13425jdp971.

MLA Handbook (7th Edition):

Park, Joonho Daniel. “Steganographic sonar.” 2016. Web. 13 Dec 2019.

Vancouver:

Park JD. Steganographic sonar. [Internet] [Doctoral dissertation]. Penn State University; 2016. [cited 2019 Dec 13]. Available from: https://etda.libraries.psu.edu/catalog/13425jdp971.

Council of Science Editors:

Park JD. Steganographic sonar. [Doctoral Dissertation]. Penn State University; 2016. Available from: https://etda.libraries.psu.edu/catalog/13425jdp971


Penn State University

12. Fairchild, Dustin Paul. Classification and Modeling of Human Activities Using Empirical Mode Decomposition with S-Band and Millimeter-Wave Micro-Doppler Radars.

Degree: PhD, Electrical Engineering, 2013, Penn State University

 The ability to identify human movements can be an important tool in many different applications such as surveillance, military combat situations, search and rescue operations,… (more)

Subjects/Keywords: Micro-Doppler Radar; Empirical Mode Decomposition; Support Vector Machine; Human Motion Classification; Bistatic Doppler

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APA (6th Edition):

Fairchild, D. P. (2013). Classification and Modeling of Human Activities Using Empirical Mode Decomposition with S-Band and Millimeter-Wave Micro-Doppler Radars. (Doctoral Dissertation). Penn State University. Retrieved from https://etda.libraries.psu.edu/catalog/19573

Chicago Manual of Style (16th Edition):

Fairchild, Dustin Paul. “Classification and Modeling of Human Activities Using Empirical Mode Decomposition with S-Band and Millimeter-Wave Micro-Doppler Radars.” 2013. Doctoral Dissertation, Penn State University. Accessed December 13, 2019. https://etda.libraries.psu.edu/catalog/19573.

MLA Handbook (7th Edition):

Fairchild, Dustin Paul. “Classification and Modeling of Human Activities Using Empirical Mode Decomposition with S-Band and Millimeter-Wave Micro-Doppler Radars.” 2013. Web. 13 Dec 2019.

Vancouver:

Fairchild DP. Classification and Modeling of Human Activities Using Empirical Mode Decomposition with S-Band and Millimeter-Wave Micro-Doppler Radars. [Internet] [Doctoral dissertation]. Penn State University; 2013. [cited 2019 Dec 13]. Available from: https://etda.libraries.psu.edu/catalog/19573.

Council of Science Editors:

Fairchild DP. Classification and Modeling of Human Activities Using Empirical Mode Decomposition with S-Band and Millimeter-Wave Micro-Doppler Radars. [Doctoral Dissertation]. Penn State University; 2013. Available from: https://etda.libraries.psu.edu/catalog/19573


University of Southern California

13. Chong, In Suk. Error tolerant multimedia compression system.

Degree: PhD, Electrical Engineering, 2009, University of Southern California

 All existing digital system design approaches strive to provide error-free values at system outputs, which is achieved by using testing techniques, as well as defect… (more)

Subjects/Keywords: error tolerance; high yield discrete cosine transform; low power motion estimation; multimedia compression

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APA (6th Edition):

Chong, I. S. (2009). Error tolerant multimedia compression system. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/599334/rec/2418

Chicago Manual of Style (16th Edition):

Chong, In Suk. “Error tolerant multimedia compression system.” 2009. Doctoral Dissertation, University of Southern California. Accessed December 13, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/599334/rec/2418.

MLA Handbook (7th Edition):

Chong, In Suk. “Error tolerant multimedia compression system.” 2009. Web. 13 Dec 2019.

Vancouver:

Chong IS. Error tolerant multimedia compression system. [Internet] [Doctoral dissertation]. University of Southern California; 2009. [cited 2019 Dec 13]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/599334/rec/2418.

Council of Science Editors:

Chong IS. Error tolerant multimedia compression system. [Doctoral Dissertation]. University of Southern California; 2009. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/599334/rec/2418


University of Southern California

14. Thaipanich, Tanaphol. Image and video enhancement through motion based interpolation and nonlocal-means denoising techniques.

Degree: PhD, Electrical Engineering, 2010, University of Southern California

 In this research, we investigate advanced image and video enhancement techniques based on motion based interpolation and nonlocal-means (NL-means) denoising. The dissertation consists of three… (more)

Subjects/Keywords: adaptive nonlocal-means; frame rate up-conversion; image denoising; motion based interpolation; video error concealment

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APA (6th Edition):

Thaipanich, T. (2010). Image and video enhancement through motion based interpolation and nonlocal-means denoising techniques. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/293950/rec/3344

Chicago Manual of Style (16th Edition):

Thaipanich, Tanaphol. “Image and video enhancement through motion based interpolation and nonlocal-means denoising techniques.” 2010. Doctoral Dissertation, University of Southern California. Accessed December 13, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/293950/rec/3344.

MLA Handbook (7th Edition):

Thaipanich, Tanaphol. “Image and video enhancement through motion based interpolation and nonlocal-means denoising techniques.” 2010. Web. 13 Dec 2019.

Vancouver:

Thaipanich T. Image and video enhancement through motion based interpolation and nonlocal-means denoising techniques. [Internet] [Doctoral dissertation]. University of Southern California; 2010. [cited 2019 Dec 13]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/293950/rec/3344.

Council of Science Editors:

Thaipanich T. Image and video enhancement through motion based interpolation and nonlocal-means denoising techniques. [Doctoral Dissertation]. University of Southern California; 2010. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/293950/rec/3344


University of Southern California

15. Cho, Yoon-Sik. Modeling and predicting with spatial‐temporal social networks.

Degree: PhD, Electrical Engineering, 2014, University of Southern California

 Network data and user behavior data are becoming pervasive. In this thesis, we develop efficient machine learning methods for addressing various real‐world problems using these… (more)

Subjects/Keywords: clustering; location based social networks; mixed membership; point processes; spatial‐temporal; topic model

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APA (6th Edition):

Cho, Y. (2014). Modeling and predicting with spatial‐temporal social networks. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/447544/rec/4118

Chicago Manual of Style (16th Edition):

Cho, Yoon-Sik. “Modeling and predicting with spatial‐temporal social networks.” 2014. Doctoral Dissertation, University of Southern California. Accessed December 13, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/447544/rec/4118.

MLA Handbook (7th Edition):

Cho, Yoon-Sik. “Modeling and predicting with spatial‐temporal social networks.” 2014. Web. 13 Dec 2019.

Vancouver:

Cho Y. Modeling and predicting with spatial‐temporal social networks. [Internet] [Doctoral dissertation]. University of Southern California; 2014. [cited 2019 Dec 13]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/447544/rec/4118.

Council of Science Editors:

Cho Y. Modeling and predicting with spatial‐temporal social networks. [Doctoral Dissertation]. University of Southern California; 2014. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/447544/rec/4118


Vanderbilt University

16. Abdelaziz, Hamzah Ahmed. A Data-Driven Approach for Modeling, Analysis and Control of Stochastic Hybrid Systems using Gaussian Processes.

Degree: PhD, Electrical Engineering, 2018, Vanderbilt University

 The growing advances in information technologies have led to a new generation of systems known as cyber-physical systems (CPS). CPS are multi-discipline engineering systems, which… (more)

Subjects/Keywords: Gaussian Processes; Stochastic Hybrid Systems; Reachability Analysis; Cyber Physical Systems; Model Predictive Control; Model Learning

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APA (6th Edition):

Abdelaziz, H. A. (2018). A Data-Driven Approach for Modeling, Analysis and Control of Stochastic Hybrid Systems using Gaussian Processes. (Doctoral Dissertation). Vanderbilt University. Retrieved from http://etd.library.vanderbilt.edu/available/etd-01112018-132607/ ;

Chicago Manual of Style (16th Edition):

Abdelaziz, Hamzah Ahmed. “A Data-Driven Approach for Modeling, Analysis and Control of Stochastic Hybrid Systems using Gaussian Processes.” 2018. Doctoral Dissertation, Vanderbilt University. Accessed December 13, 2019. http://etd.library.vanderbilt.edu/available/etd-01112018-132607/ ;.

MLA Handbook (7th Edition):

Abdelaziz, Hamzah Ahmed. “A Data-Driven Approach for Modeling, Analysis and Control of Stochastic Hybrid Systems using Gaussian Processes.” 2018. Web. 13 Dec 2019.

Vancouver:

Abdelaziz HA. A Data-Driven Approach for Modeling, Analysis and Control of Stochastic Hybrid Systems using Gaussian Processes. [Internet] [Doctoral dissertation]. Vanderbilt University; 2018. [cited 2019 Dec 13]. Available from: http://etd.library.vanderbilt.edu/available/etd-01112018-132607/ ;.

Council of Science Editors:

Abdelaziz HA. A Data-Driven Approach for Modeling, Analysis and Control of Stochastic Hybrid Systems using Gaussian Processes. [Doctoral Dissertation]. Vanderbilt University; 2018. Available from: http://etd.library.vanderbilt.edu/available/etd-01112018-132607/ ;


Virginia Tech

17. Gholson, Norman Hamilton. Tracking maneuvering targets via semi-Markov maneuver modeling.

Degree: PhD, Electrical Engineering, 1977, Virginia Tech

 Adaptive algorithms for state estimation are currently of tremendous interest. Such estimation techniques have particular military usefulness in automatic gunfire control systems. The conventional Kalman… (more)

Subjects/Keywords: Markov processes; LD5655.V856 1977.G47

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APA (6th Edition):

Gholson, N. H. (1977). Tracking maneuvering targets via semi-Markov maneuver modeling. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/37468

Chicago Manual of Style (16th Edition):

Gholson, Norman Hamilton. “Tracking maneuvering targets via semi-Markov maneuver modeling.” 1977. Doctoral Dissertation, Virginia Tech. Accessed December 13, 2019. http://hdl.handle.net/10919/37468.

MLA Handbook (7th Edition):

Gholson, Norman Hamilton. “Tracking maneuvering targets via semi-Markov maneuver modeling.” 1977. Web. 13 Dec 2019.

Vancouver:

Gholson NH. Tracking maneuvering targets via semi-Markov maneuver modeling. [Internet] [Doctoral dissertation]. Virginia Tech; 1977. [cited 2019 Dec 13]. Available from: http://hdl.handle.net/10919/37468.

Council of Science Editors:

Gholson NH. Tracking maneuvering targets via semi-Markov maneuver modeling. [Doctoral Dissertation]. Virginia Tech; 1977. Available from: http://hdl.handle.net/10919/37468


Case Western Reserve University

18. Chu, Wen-Hwa Martin. Microfabricated tweezers with a large gripping force and a large range of motion.

Degree: PhD, Electrical Engineering, 1994, Case Western Reserve University

 The objective of this thesis is to gain a basic understanding of bimetallic microactuation through a study of microfabricated bimetallic microtweezers. The microtweezers utilize two… (more)

Subjects/Keywords: Microfabricated tweezers; large gripping force; large range of motion

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APA (6th Edition):

Chu, W. M. (1994). Microfabricated tweezers with a large gripping force and a large range of motion. (Doctoral Dissertation). Case Western Reserve University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=case1057869514

Chicago Manual of Style (16th Edition):

Chu, Wen-Hwa Martin. “Microfabricated tweezers with a large gripping force and a large range of motion.” 1994. Doctoral Dissertation, Case Western Reserve University. Accessed December 13, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=case1057869514.

MLA Handbook (7th Edition):

Chu, Wen-Hwa Martin. “Microfabricated tweezers with a large gripping force and a large range of motion.” 1994. Web. 13 Dec 2019.

Vancouver:

Chu WM. Microfabricated tweezers with a large gripping force and a large range of motion. [Internet] [Doctoral dissertation]. Case Western Reserve University; 1994. [cited 2019 Dec 13]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=case1057869514.

Council of Science Editors:

Chu WM. Microfabricated tweezers with a large gripping force and a large range of motion. [Doctoral Dissertation]. Case Western Reserve University; 1994. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=case1057869514


University of Notre Dame

19. Sean Borman. Topics in Multiframe Superresolution Restoration</h1>.

Degree: PhD, Electrical Engineering, 2004, University of Notre Dame

  Multiframe superresolution restoration refers to methods for still image and video restoration from multiple low-resolution, degraded observed images derived from an underlying scene. These… (more)

Subjects/Keywords: Superresolution; restoration; video; motion estimation; inverse problem; observation model

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APA (6th Edition):

Borman, S. (2004). Topics in Multiframe Superresolution Restoration</h1>. (Doctoral Dissertation). University of Notre Dame. Retrieved from https://curate.nd.edu/show/2b88qc00f1z

Chicago Manual of Style (16th Edition):

Borman, Sean. “Topics in Multiframe Superresolution Restoration</h1>.” 2004. Doctoral Dissertation, University of Notre Dame. Accessed December 13, 2019. https://curate.nd.edu/show/2b88qc00f1z.

MLA Handbook (7th Edition):

Borman, Sean. “Topics in Multiframe Superresolution Restoration</h1>.” 2004. Web. 13 Dec 2019.

Vancouver:

Borman S. Topics in Multiframe Superresolution Restoration</h1>. [Internet] [Doctoral dissertation]. University of Notre Dame; 2004. [cited 2019 Dec 13]. Available from: https://curate.nd.edu/show/2b88qc00f1z.

Council of Science Editors:

Borman S. Topics in Multiframe Superresolution Restoration</h1>. [Doctoral Dissertation]. University of Notre Dame; 2004. Available from: https://curate.nd.edu/show/2b88qc00f1z


Arizona State University

20. WEI, SIYUAN. Low Cost 3D Flow Estimation in Medical Ultrasound.

Degree: Electrical Engineering, 2018, Arizona State University

Subjects/Keywords: Electrical engineering; Clutter filter; Medical ultrasound; Motion estimation

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APA (6th Edition):

WEI, S. (2018). Low Cost 3D Flow Estimation in Medical Ultrasound. (Doctoral Dissertation). Arizona State University. Retrieved from http://repository.asu.edu/items/51669

Chicago Manual of Style (16th Edition):

WEI, SIYUAN. “Low Cost 3D Flow Estimation in Medical Ultrasound.” 2018. Doctoral Dissertation, Arizona State University. Accessed December 13, 2019. http://repository.asu.edu/items/51669.

MLA Handbook (7th Edition):

WEI, SIYUAN. “Low Cost 3D Flow Estimation in Medical Ultrasound.” 2018. Web. 13 Dec 2019.

Vancouver:

WEI S. Low Cost 3D Flow Estimation in Medical Ultrasound. [Internet] [Doctoral dissertation]. Arizona State University; 2018. [cited 2019 Dec 13]. Available from: http://repository.asu.edu/items/51669.

Council of Science Editors:

WEI S. Low Cost 3D Flow Estimation in Medical Ultrasound. [Doctoral Dissertation]. Arizona State University; 2018. Available from: http://repository.asu.edu/items/51669


University of Vermont

21. Ghanavati, Goodarz. Statistical Analysis of High Sample Rate Time-series Data for Power System Stability Assessment.

Degree: PhD, Electrical Engineering, 2015, University of Vermont

  The motivation for this research is to leverage the increasing deployment of the phasor measurement unit (PMU) technology by electric utilities in order to… (more)

Subjects/Keywords: Autocorrelation function; Critical slowing down; Phasor measurement unit; Power system stability; Stochastic differential equations; Stochastic processes; Electrical and Electronics

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APA (6th Edition):

Ghanavati, G. (2015). Statistical Analysis of High Sample Rate Time-series Data for Power System Stability Assessment. (Doctoral Dissertation). University of Vermont. Retrieved from https://scholarworks.uvm.edu/graddis/333

Chicago Manual of Style (16th Edition):

Ghanavati, Goodarz. “Statistical Analysis of High Sample Rate Time-series Data for Power System Stability Assessment.” 2015. Doctoral Dissertation, University of Vermont. Accessed December 13, 2019. https://scholarworks.uvm.edu/graddis/333.

MLA Handbook (7th Edition):

Ghanavati, Goodarz. “Statistical Analysis of High Sample Rate Time-series Data for Power System Stability Assessment.” 2015. Web. 13 Dec 2019.

Vancouver:

Ghanavati G. Statistical Analysis of High Sample Rate Time-series Data for Power System Stability Assessment. [Internet] [Doctoral dissertation]. University of Vermont; 2015. [cited 2019 Dec 13]. Available from: https://scholarworks.uvm.edu/graddis/333.

Council of Science Editors:

Ghanavati G. Statistical Analysis of High Sample Rate Time-series Data for Power System Stability Assessment. [Doctoral Dissertation]. University of Vermont; 2015. Available from: https://scholarworks.uvm.edu/graddis/333


Virginia Tech

22. Sockell, Michael Elliot. Similarity solutions of stochastic nonlinear parabolic equations.

Degree: PhD, Electrical Engineering, 1987, Virginia Tech

Subjects/Keywords: LD5655.V856 1987.S654; Stochastic integral equations; Stochastic processes

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APA (6th Edition):

Sockell, M. E. (1987). Similarity solutions of stochastic nonlinear parabolic equations. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/49898

Chicago Manual of Style (16th Edition):

Sockell, Michael Elliot. “Similarity solutions of stochastic nonlinear parabolic equations.” 1987. Doctoral Dissertation, Virginia Tech. Accessed December 13, 2019. http://hdl.handle.net/10919/49898.

MLA Handbook (7th Edition):

Sockell, Michael Elliot. “Similarity solutions of stochastic nonlinear parabolic equations.” 1987. Web. 13 Dec 2019.

Vancouver:

Sockell ME. Similarity solutions of stochastic nonlinear parabolic equations. [Internet] [Doctoral dissertation]. Virginia Tech; 1987. [cited 2019 Dec 13]. Available from: http://hdl.handle.net/10919/49898.

Council of Science Editors:

Sockell ME. Similarity solutions of stochastic nonlinear parabolic equations. [Doctoral Dissertation]. Virginia Tech; 1987. Available from: http://hdl.handle.net/10919/49898


Clemson University

23. Pundlik, Shrinivas. Motion Segmentation from Clustering of Sparse Point Features Using Spatially Constrained Mixture Models.

Degree: PhD, Electrical Engineering, 2009, Clemson University

Motion is one of the strongest cues available for segmentation. While motion segmentation finds wide ranging applications in object detection, tracking, surveillance, robotics, image and… (more)

Subjects/Keywords: articulated human motion; mixture models; motion segmentation; sparse point features; Electrical and Computer Engineering

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APA (6th Edition):

Pundlik, S. (2009). Motion Segmentation from Clustering of Sparse Point Features Using Spatially Constrained Mixture Models. (Doctoral Dissertation). Clemson University. Retrieved from https://tigerprints.clemson.edu/all_dissertations/417

Chicago Manual of Style (16th Edition):

Pundlik, Shrinivas. “Motion Segmentation from Clustering of Sparse Point Features Using Spatially Constrained Mixture Models.” 2009. Doctoral Dissertation, Clemson University. Accessed December 13, 2019. https://tigerprints.clemson.edu/all_dissertations/417.

MLA Handbook (7th Edition):

Pundlik, Shrinivas. “Motion Segmentation from Clustering of Sparse Point Features Using Spatially Constrained Mixture Models.” 2009. Web. 13 Dec 2019.

Vancouver:

Pundlik S. Motion Segmentation from Clustering of Sparse Point Features Using Spatially Constrained Mixture Models. [Internet] [Doctoral dissertation]. Clemson University; 2009. [cited 2019 Dec 13]. Available from: https://tigerprints.clemson.edu/all_dissertations/417.

Council of Science Editors:

Pundlik S. Motion Segmentation from Clustering of Sparse Point Features Using Spatially Constrained Mixture Models. [Doctoral Dissertation]. Clemson University; 2009. Available from: https://tigerprints.clemson.edu/all_dissertations/417

24. Hunter, Jonathan Edward. Human Action Segmentation and Recognition with a High Dimensional Single Camera System.

Degree: PhD, Electrical Engineering, 2009, Vanderbilt University

 A key goal in machine vision is to understand how the actions of sentient agents such as humans are processed, identified, and understood. The most… (more)

Subjects/Keywords: high dimensional; sparse feature vectors; human motion segmentation; human motion analysis; behavioral cues

…LIST OF FIGURES Figure Page 1. Research Tree for Human Motion Analysis… …48 29. 3 Motion Class Examples… …sequence. (d) shows the computed motion valley. (e,f) show the forward and… …reverse flows. (g) shows the inverse depth from motion. (h) shows 3D… …structure from motion. (p,q) show the pair of stereo images. (r) shows the… 

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APA (6th Edition):

Hunter, J. E. (2009). Human Action Segmentation and Recognition with a High Dimensional Single Camera System. (Doctoral Dissertation). Vanderbilt University. Retrieved from http://etd.library.vanderbilt.edu//available/etd-03242009-152733/ ;

Chicago Manual of Style (16th Edition):

Hunter, Jonathan Edward. “Human Action Segmentation and Recognition with a High Dimensional Single Camera System.” 2009. Doctoral Dissertation, Vanderbilt University. Accessed December 13, 2019. http://etd.library.vanderbilt.edu//available/etd-03242009-152733/ ;.

MLA Handbook (7th Edition):

Hunter, Jonathan Edward. “Human Action Segmentation and Recognition with a High Dimensional Single Camera System.” 2009. Web. 13 Dec 2019.

Vancouver:

Hunter JE. Human Action Segmentation and Recognition with a High Dimensional Single Camera System. [Internet] [Doctoral dissertation]. Vanderbilt University; 2009. [cited 2019 Dec 13]. Available from: http://etd.library.vanderbilt.edu//available/etd-03242009-152733/ ;.

Council of Science Editors:

Hunter JE. Human Action Segmentation and Recognition with a High Dimensional Single Camera System. [Doctoral Dissertation]. Vanderbilt University; 2009. Available from: http://etd.library.vanderbilt.edu//available/etd-03242009-152733/ ;


The Ohio State University

25. Tang, Zhijun. Information-theoretic management of mobile sensor agents.

Degree: PhD, Electrical Engineering, 2005, The Ohio State University

  Sensor management (SM) is one of the key factors that determine the performance of a multi-sensor system, especially when the system consists of mobile… (more)

Subjects/Keywords: Sensor Management; Mobile Sensor Agent; Target Track Maintenance; Motion Planning

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APA (6th Edition):

Tang, Z. (2005). Information-theoretic management of mobile sensor agents. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1126882086

Chicago Manual of Style (16th Edition):

Tang, Zhijun. “Information-theoretic management of mobile sensor agents.” 2005. Doctoral Dissertation, The Ohio State University. Accessed December 13, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1126882086.

MLA Handbook (7th Edition):

Tang, Zhijun. “Information-theoretic management of mobile sensor agents.” 2005. Web. 13 Dec 2019.

Vancouver:

Tang Z. Information-theoretic management of mobile sensor agents. [Internet] [Doctoral dissertation]. The Ohio State University; 2005. [cited 2019 Dec 13]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1126882086.

Council of Science Editors:

Tang Z. Information-theoretic management of mobile sensor agents. [Doctoral Dissertation]. The Ohio State University; 2005. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1126882086


University of Dayton

26. Zhang, Yi. Blur Image Processing.

Degree: PhD, Electrical Engineering, 2015, University of Dayton

 Image blur stems from camera sensor pixel recording light from multiple sources. There are three causes of blur: object motion, optical defocus and camera shake.… (more)

Subjects/Keywords: Electrical Engineering; Image blind deblurring, Noisy and blurry image, Bayesian statistics, double discrete wavelet transform, deblur with IMU, Motion estimation, Spatially varying blur

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APA (6th Edition):

Zhang, Y. (2015). Blur Image Processing. (Doctoral Dissertation). University of Dayton. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=dayton1448384360

Chicago Manual of Style (16th Edition):

Zhang, Yi. “Blur Image Processing.” 2015. Doctoral Dissertation, University of Dayton. Accessed December 13, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1448384360.

MLA Handbook (7th Edition):

Zhang, Yi. “Blur Image Processing.” 2015. Web. 13 Dec 2019.

Vancouver:

Zhang Y. Blur Image Processing. [Internet] [Doctoral dissertation]. University of Dayton; 2015. [cited 2019 Dec 13]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=dayton1448384360.

Council of Science Editors:

Zhang Y. Blur Image Processing. [Doctoral Dissertation]. University of Dayton; 2015. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=dayton1448384360


Penn State University

27. Lim, Hwasup. DYNAMIC MOTION AND APPEARANCE MODELING FOR ROBUST VISUAL TRACKING.

Degree: PhD, Electrical Engineering, 2007, Penn State University

 Visual tracking is one of the most active areas in computer vision and it has many promising applications such as human motion capture, human computer… (more)

Subjects/Keywords: visual tracking; caratheodory-fejer; appearance modeling; motion modeling; object tracking

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APA (6th Edition):

Lim, H. (2007). DYNAMIC MOTION AND APPEARANCE MODELING FOR ROBUST VISUAL TRACKING. (Doctoral Dissertation). Penn State University. Retrieved from https://etda.libraries.psu.edu/catalog/7514

Chicago Manual of Style (16th Edition):

Lim, Hwasup. “DYNAMIC MOTION AND APPEARANCE MODELING FOR ROBUST VISUAL TRACKING.” 2007. Doctoral Dissertation, Penn State University. Accessed December 13, 2019. https://etda.libraries.psu.edu/catalog/7514.

MLA Handbook (7th Edition):

Lim, Hwasup. “DYNAMIC MOTION AND APPEARANCE MODELING FOR ROBUST VISUAL TRACKING.” 2007. Web. 13 Dec 2019.

Vancouver:

Lim H. DYNAMIC MOTION AND APPEARANCE MODELING FOR ROBUST VISUAL TRACKING. [Internet] [Doctoral dissertation]. Penn State University; 2007. [cited 2019 Dec 13]. Available from: https://etda.libraries.psu.edu/catalog/7514.

Council of Science Editors:

Lim H. DYNAMIC MOTION AND APPEARANCE MODELING FOR ROBUST VISUAL TRACKING. [Doctoral Dissertation]. Penn State University; 2007. Available from: https://etda.libraries.psu.edu/catalog/7514


University of Southern California

28. Hu, Yu. Power efficient multimedia applications on embedded systems.

Degree: PhD, Electrical Engineering, 2006, University of Southern California

 This dissertation proposes a complete solution for power efficient multimedia applications on embedded system. We concentrate the research on the emerging video standard: H.264/AVC, both… (more)

Subjects/Keywords: H.264/AVC; motion estimation; adaptive deblocking filter; decoder friendly; power analysis

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APA (6th Edition):

Hu, Y. (2006). Power efficient multimedia applications on embedded systems. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/28568/rec/5146

Chicago Manual of Style (16th Edition):

Hu, Yu. “Power efficient multimedia applications on embedded systems.” 2006. Doctoral Dissertation, University of Southern California. Accessed December 13, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/28568/rec/5146.

MLA Handbook (7th Edition):

Hu, Yu. “Power efficient multimedia applications on embedded systems.” 2006. Web. 13 Dec 2019.

Vancouver:

Hu Y. Power efficient multimedia applications on embedded systems. [Internet] [Doctoral dissertation]. University of Southern California; 2006. [cited 2019 Dec 13]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/28568/rec/5146.

Council of Science Editors:

Hu Y. Power efficient multimedia applications on embedded systems. [Doctoral Dissertation]. University of Southern California; 2006. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/28568/rec/5146


Florida International University

29. O-larnnithipong, Nonnarit. Hand Motion Tracking System using Inertial Measurement Units and Infrared Cameras.

Degree: PhD, Electrical Engineering, 2018, Florida International University

  This dissertation presents a novel approach to develop a system for real-time tracking of the position and orientation of the human hand in three-dimensional… (more)

Subjects/Keywords: Hand Motion Tracking; Inertial Measurement Unit; Gyroscope Drift; Sensor Fusion; Orientation Correction Algorithm; Quaternion; Navigation, Guidance, Control, and Dynamics; Robotics; Signal Processing

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APA (6th Edition):

O-larnnithipong, N. (2018). Hand Motion Tracking System using Inertial Measurement Units and Infrared Cameras. (Doctoral Dissertation). Florida International University. Retrieved from https://digitalcommons.fiu.edu/etd/3905 ; FIDC007002

Chicago Manual of Style (16th Edition):

O-larnnithipong, Nonnarit. “Hand Motion Tracking System using Inertial Measurement Units and Infrared Cameras.” 2018. Doctoral Dissertation, Florida International University. Accessed December 13, 2019. https://digitalcommons.fiu.edu/etd/3905 ; FIDC007002.

MLA Handbook (7th Edition):

O-larnnithipong, Nonnarit. “Hand Motion Tracking System using Inertial Measurement Units and Infrared Cameras.” 2018. Web. 13 Dec 2019.

Vancouver:

O-larnnithipong N. Hand Motion Tracking System using Inertial Measurement Units and Infrared Cameras. [Internet] [Doctoral dissertation]. Florida International University; 2018. [cited 2019 Dec 13]. Available from: https://digitalcommons.fiu.edu/etd/3905 ; FIDC007002.

Council of Science Editors:

O-larnnithipong N. Hand Motion Tracking System using Inertial Measurement Units and Infrared Cameras. [Doctoral Dissertation]. Florida International University; 2018. Available from: https://digitalcommons.fiu.edu/etd/3905 ; FIDC007002


Virginia Tech

30. Lee, Jongsoo. Facet model optic flow and rigid body motion.

Degree: PhD, Electrical Engineering, 1985, Virginia Tech

Subjects/Keywords: LD5655.V856 1985.L425; Motion perception (Vision); Image processing  – Mathematics; Optical images

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APA (6th Edition):

Lee, J. (1985). Facet model optic flow and rigid body motion. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/53885

Chicago Manual of Style (16th Edition):

Lee, Jongsoo. “Facet model optic flow and rigid body motion.” 1985. Doctoral Dissertation, Virginia Tech. Accessed December 13, 2019. http://hdl.handle.net/10919/53885.

MLA Handbook (7th Edition):

Lee, Jongsoo. “Facet model optic flow and rigid body motion.” 1985. Web. 13 Dec 2019.

Vancouver:

Lee J. Facet model optic flow and rigid body motion. [Internet] [Doctoral dissertation]. Virginia Tech; 1985. [cited 2019 Dec 13]. Available from: http://hdl.handle.net/10919/53885.

Council of Science Editors:

Lee J. Facet model optic flow and rigid body motion. [Doctoral Dissertation]. Virginia Tech; 1985. Available from: http://hdl.handle.net/10919/53885

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