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You searched for +publisher:"Mississippi State University" +contributor:("Song Zhang"). Showing records 1 – 10 of 10 total matches.

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Mississippi State University

1. Balasubramaniam, Mahadevan. Performance analysis and evaluation of divisible load theory and dynamic loop scheduling algorithms in parallel and distributed environments.

Degree: PhD, Computer Science and Engineering, 2015, Mississippi State University

  High performance parallel and distributed computing systems are used to solve large, complex, and data parallel scientific applications that require enormous computational power. Data… (more)

Subjects/Keywords: 3D torus; parallel and distributed computing; robustness; scalability; dynamic loop scheduling; divisible load theory; arbitrarily divisible workloads; data parallel workloads; cluster

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APA (6th Edition):

Balasubramaniam, M. (2015). Performance analysis and evaluation of divisible load theory and dynamic loop scheduling algorithms in parallel and distributed environments. (Doctoral Dissertation). Mississippi State University. Retrieved from http://sun.library.msstate.edu/ETD-db/theses/available/etd-04282015-235336/ ;

Chicago Manual of Style (16th Edition):

Balasubramaniam, Mahadevan. “Performance analysis and evaluation of divisible load theory and dynamic loop scheduling algorithms in parallel and distributed environments.” 2015. Doctoral Dissertation, Mississippi State University. Accessed December 06, 2019. http://sun.library.msstate.edu/ETD-db/theses/available/etd-04282015-235336/ ;.

MLA Handbook (7th Edition):

Balasubramaniam, Mahadevan. “Performance analysis and evaluation of divisible load theory and dynamic loop scheduling algorithms in parallel and distributed environments.” 2015. Web. 06 Dec 2019.

Vancouver:

Balasubramaniam M. Performance analysis and evaluation of divisible load theory and dynamic loop scheduling algorithms in parallel and distributed environments. [Internet] [Doctoral dissertation]. Mississippi State University; 2015. [cited 2019 Dec 06]. Available from: http://sun.library.msstate.edu/ETD-db/theses/available/etd-04282015-235336/ ;.

Council of Science Editors:

Balasubramaniam M. Performance analysis and evaluation of divisible load theory and dynamic loop scheduling algorithms in parallel and distributed environments. [Doctoral Dissertation]. Mississippi State University; 2015. Available from: http://sun.library.msstate.edu/ETD-db/theses/available/etd-04282015-235336/ ;


Mississippi State University

2. Zhang, Fangyan. Large-scale graph visual analytics.

Degree: PhD, Computer Science and Engineering, 2017, Mississippi State University

  Large-scale graph analysis and visualization is becoming a more challenging task, due to the increasing amount of graph data. This dissertation focuses on methods… (more)

Subjects/Keywords: large-scale graph; graph sampling; graph property; graph visualization; graph clustering; graph hierarchy

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APA (6th Edition):

Zhang, F. (2017). Large-scale graph visual analytics. (Doctoral Dissertation). Mississippi State University. Retrieved from http://sun.library.msstate.edu/ETD-db/theses/available/etd-10232017-142140/ ;

Chicago Manual of Style (16th Edition):

Zhang, Fangyan. “Large-scale graph visual analytics.” 2017. Doctoral Dissertation, Mississippi State University. Accessed December 06, 2019. http://sun.library.msstate.edu/ETD-db/theses/available/etd-10232017-142140/ ;.

MLA Handbook (7th Edition):

Zhang, Fangyan. “Large-scale graph visual analytics.” 2017. Web. 06 Dec 2019.

Vancouver:

Zhang F. Large-scale graph visual analytics. [Internet] [Doctoral dissertation]. Mississippi State University; 2017. [cited 2019 Dec 06]. Available from: http://sun.library.msstate.edu/ETD-db/theses/available/etd-10232017-142140/ ;.

Council of Science Editors:

Zhang F. Large-scale graph visual analytics. [Doctoral Dissertation]. Mississippi State University; 2017. Available from: http://sun.library.msstate.edu/ETD-db/theses/available/etd-10232017-142140/ ;


Mississippi State University

3. Camacho Rincon, Rene A. Evaluation of uncertainty in hydrodynamic modeling.

Degree: PhD, Civil and Environmental Engineering, 2013, Mississippi State University

  Uncertainty analysis in hydrodynamic modeling is useful to identify and report the limitations of a model caused by different sources of error. In the… (more)

Subjects/Keywords: Generalized Likelihood Uncertainty Estimation; Markov Chain Monte Carlo; Bayes Monte Carlo; First Order Variance Analysis; Uncertainty analysis

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APA (6th Edition):

Camacho Rincon, R. A. (2013). Evaluation of uncertainty in hydrodynamic modeling. (Doctoral Dissertation). Mississippi State University. Retrieved from http://sun.library.msstate.edu/ETD-db/theses/available/etd-07082013-103845/ ;

Chicago Manual of Style (16th Edition):

Camacho Rincon, Rene A. “Evaluation of uncertainty in hydrodynamic modeling.” 2013. Doctoral Dissertation, Mississippi State University. Accessed December 06, 2019. http://sun.library.msstate.edu/ETD-db/theses/available/etd-07082013-103845/ ;.

MLA Handbook (7th Edition):

Camacho Rincon, Rene A. “Evaluation of uncertainty in hydrodynamic modeling.” 2013. Web. 06 Dec 2019.

Vancouver:

Camacho Rincon RA. Evaluation of uncertainty in hydrodynamic modeling. [Internet] [Doctoral dissertation]. Mississippi State University; 2013. [cited 2019 Dec 06]. Available from: http://sun.library.msstate.edu/ETD-db/theses/available/etd-07082013-103845/ ;.

Council of Science Editors:

Camacho Rincon RA. Evaluation of uncertainty in hydrodynamic modeling. [Doctoral Dissertation]. Mississippi State University; 2013. Available from: http://sun.library.msstate.edu/ETD-db/theses/available/etd-07082013-103845/ ;

4. Sanyal, Jibonananda. UNCERTAINTY VISUALIZATION OF ENSEMBLE SIMULATIONS.

Degree: PhD, Computer Science and Engineering, 2011, Mississippi State University

  Ensemble simulation is a commonly used technique in operational forecasting of weather and floods. Multi-member ensemble output is usually large, multivariate, and challenging to… (more)

Subjects/Keywords: exploratory data analysis; geo-visualization; uncertainty; uncertainty quantification; uncertainty visualization; ensemble simulation; meteorological data; hydrological data; tool design; spaghetti plots; glyph based techniques; visual interaction techniques

…PhD is but prayed all along so that I’d get through! My advisor, Dr. Song Zhang is a man… 

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APA (6th Edition):

Sanyal, J. (2011). UNCERTAINTY VISUALIZATION OF ENSEMBLE SIMULATIONS. (Doctoral Dissertation). Mississippi State University. Retrieved from http://sun.library.msstate.edu/ETD-db/theses/available/etd-10212011-112115/ ;

Chicago Manual of Style (16th Edition):

Sanyal, Jibonananda. “UNCERTAINTY VISUALIZATION OF ENSEMBLE SIMULATIONS.” 2011. Doctoral Dissertation, Mississippi State University. Accessed December 06, 2019. http://sun.library.msstate.edu/ETD-db/theses/available/etd-10212011-112115/ ;.

MLA Handbook (7th Edition):

Sanyal, Jibonananda. “UNCERTAINTY VISUALIZATION OF ENSEMBLE SIMULATIONS.” 2011. Web. 06 Dec 2019.

Vancouver:

Sanyal J. UNCERTAINTY VISUALIZATION OF ENSEMBLE SIMULATIONS. [Internet] [Doctoral dissertation]. Mississippi State University; 2011. [cited 2019 Dec 06]. Available from: http://sun.library.msstate.edu/ETD-db/theses/available/etd-10212011-112115/ ;.

Council of Science Editors:

Sanyal J. UNCERTAINTY VISUALIZATION OF ENSEMBLE SIMULATIONS. [Doctoral Dissertation]. Mississippi State University; 2011. Available from: http://sun.library.msstate.edu/ETD-db/theses/available/etd-10212011-112115/ ;

5. Mun, Sungkwang. Block Compressed Sensing of Images and Video.

Degree: PhD, Electrical and Computer Engineering, 2012, Mississippi State University

 Compressed sensing is an emerging approach for signal acquisition wherein theory has shown that a small number of linear, random projection of a signal contains… (more)

Subjects/Keywords: Compressed Sensing; Block Compressed Sensing; Image Reconstruction; Iterative Threshold

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APA (6th Edition):

Mun, S. (2012). Block Compressed Sensing of Images and Video. (Doctoral Dissertation). Mississippi State University. Retrieved from http://sun.library.msstate.edu/ETD-db/theses/available/etd-10112012-172143/ ;

Chicago Manual of Style (16th Edition):

Mun, Sungkwang. “Block Compressed Sensing of Images and Video.” 2012. Doctoral Dissertation, Mississippi State University. Accessed December 06, 2019. http://sun.library.msstate.edu/ETD-db/theses/available/etd-10112012-172143/ ;.

MLA Handbook (7th Edition):

Mun, Sungkwang. “Block Compressed Sensing of Images and Video.” 2012. Web. 06 Dec 2019.

Vancouver:

Mun S. Block Compressed Sensing of Images and Video. [Internet] [Doctoral dissertation]. Mississippi State University; 2012. [cited 2019 Dec 06]. Available from: http://sun.library.msstate.edu/ETD-db/theses/available/etd-10112012-172143/ ;.

Council of Science Editors:

Mun S. Block Compressed Sensing of Images and Video. [Doctoral Dissertation]. Mississippi State University; 2012. Available from: http://sun.library.msstate.edu/ETD-db/theses/available/etd-10112012-172143/ ;

6. Phillips, Nathaniel Christopher. The inference engine.

Degree: MS, Computer Science and Engineering, 2013, Mississippi State University

  Data generated by complex, computational models can provide highly accurate predictions of hydrological and hydrodynamic data in multiple dimensions. Unfortunately, however, for large data… (more)

Subjects/Keywords: reduced order modeling; support vector regression; MARSplines

…the Geophysical Research Institute of Mississippi State University. Thus, it is desirable to… 

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APA (6th Edition):

Phillips, N. C. (2013). The inference engine. (Masters Thesis). Mississippi State University. Retrieved from http://sun.library.msstate.edu/ETD-db/theses/available/etd-03282013-115624/ ;

Chicago Manual of Style (16th Edition):

Phillips, Nathaniel Christopher. “The inference engine.” 2013. Masters Thesis, Mississippi State University. Accessed December 06, 2019. http://sun.library.msstate.edu/ETD-db/theses/available/etd-03282013-115624/ ;.

MLA Handbook (7th Edition):

Phillips, Nathaniel Christopher. “The inference engine.” 2013. Web. 06 Dec 2019.

Vancouver:

Phillips NC. The inference engine. [Internet] [Masters thesis]. Mississippi State University; 2013. [cited 2019 Dec 06]. Available from: http://sun.library.msstate.edu/ETD-db/theses/available/etd-03282013-115624/ ;.

Council of Science Editors:

Phillips NC. The inference engine. [Masters Thesis]. Mississippi State University; 2013. Available from: http://sun.library.msstate.edu/ETD-db/theses/available/etd-03282013-115624/ ;

7. Wu, Keqin. Feature-based uncertainty visualization.

Degree: PhD, Electrical and Computer Engineering, 2012, Mississippi State University

  While uncertainty in scientific data attracts an increasing research interest in the visualization community, two critical issues remain insufficiently studied: (1) visualizing the impact… (more)

Subjects/Keywords: contour tree; vector field topology; feature-based visualization; uncertainty visualization

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APA (6th Edition):

Wu, K. (2012). Feature-based uncertainty visualization. (Doctoral Dissertation). Mississippi State University. Retrieved from http://sun.library.msstate.edu/ETD-db/theses/available/etd-03292012-122300/ ;

Chicago Manual of Style (16th Edition):

Wu, Keqin. “Feature-based uncertainty visualization.” 2012. Doctoral Dissertation, Mississippi State University. Accessed December 06, 2019. http://sun.library.msstate.edu/ETD-db/theses/available/etd-03292012-122300/ ;.

MLA Handbook (7th Edition):

Wu, Keqin. “Feature-based uncertainty visualization.” 2012. Web. 06 Dec 2019.

Vancouver:

Wu K. Feature-based uncertainty visualization. [Internet] [Doctoral dissertation]. Mississippi State University; 2012. [cited 2019 Dec 06]. Available from: http://sun.library.msstate.edu/ETD-db/theses/available/etd-03292012-122300/ ;.

Council of Science Editors:

Wu K. Feature-based uncertainty visualization. [Doctoral Dissertation]. Mississippi State University; 2012. Available from: http://sun.library.msstate.edu/ETD-db/theses/available/etd-03292012-122300/ ;

8. Moser, Kenneth R. Towards system agnostic calibration of optical see-through head-mounted displays for augmented reality.

Degree: PhD, Computer Science and Engineering, 2016, Mississippi State University

  This dissertation examines the developments and progress of spatial calibration procedures for Optical See-Through (OST) Head-Mounted Display (HMD) devices for visual Augmented Reality (AR)… (more)

Subjects/Keywords: spatial calibration; head mounted display; augmented reality

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APA (6th Edition):

Moser, K. R. (2016). Towards system agnostic calibration of optical see-through head-mounted displays for augmented reality. (Doctoral Dissertation). Mississippi State University. Retrieved from http://sun.library.msstate.edu/ETD-db/theses/available/etd-06012016-172049/ ;

Chicago Manual of Style (16th Edition):

Moser, Kenneth R. “Towards system agnostic calibration of optical see-through head-mounted displays for augmented reality.” 2016. Doctoral Dissertation, Mississippi State University. Accessed December 06, 2019. http://sun.library.msstate.edu/ETD-db/theses/available/etd-06012016-172049/ ;.

MLA Handbook (7th Edition):

Moser, Kenneth R. “Towards system agnostic calibration of optical see-through head-mounted displays for augmented reality.” 2016. Web. 06 Dec 2019.

Vancouver:

Moser KR. Towards system agnostic calibration of optical see-through head-mounted displays for augmented reality. [Internet] [Doctoral dissertation]. Mississippi State University; 2016. [cited 2019 Dec 06]. Available from: http://sun.library.msstate.edu/ETD-db/theses/available/etd-06012016-172049/ ;.

Council of Science Editors:

Moser KR. Towards system agnostic calibration of optical see-through head-mounted displays for augmented reality. [Doctoral Dissertation]. Mississippi State University; 2016. Available from: http://sun.library.msstate.edu/ETD-db/theses/available/etd-06012016-172049/ ;

9. Al Boni, Mohammad. Reshare: An operational ontology framework for research modeling, combining and sharing.

Degree: MS, Computational Engineering, 2014, Mississippi State University

  Scientists always face difficulties dealing with disjointed information. There is a need for a standardized and robust way to represent and exchange knowledge. Ontology… (more)

Subjects/Keywords: ontology matching; ontology; generic modeling; dynamic binding; object oriented; generic visualization

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APA (6th Edition):

Al Boni, M. (2014). Reshare: An operational ontology framework for research modeling, combining and sharing. (Masters Thesis). Mississippi State University. Retrieved from http://sun.library.msstate.edu/ETD-db/theses/available/etd-06032014-203823/ ;

Chicago Manual of Style (16th Edition):

Al Boni, Mohammad. “Reshare: An operational ontology framework for research modeling, combining and sharing.” 2014. Masters Thesis, Mississippi State University. Accessed December 06, 2019. http://sun.library.msstate.edu/ETD-db/theses/available/etd-06032014-203823/ ;.

MLA Handbook (7th Edition):

Al Boni, Mohammad. “Reshare: An operational ontology framework for research modeling, combining and sharing.” 2014. Web. 06 Dec 2019.

Vancouver:

Al Boni M. Reshare: An operational ontology framework for research modeling, combining and sharing. [Internet] [Masters thesis]. Mississippi State University; 2014. [cited 2019 Dec 06]. Available from: http://sun.library.msstate.edu/ETD-db/theses/available/etd-06032014-203823/ ;.

Council of Science Editors:

Al Boni M. Reshare: An operational ontology framework for research modeling, combining and sharing. [Masters Thesis]. Mississippi State University; 2014. Available from: http://sun.library.msstate.edu/ETD-db/theses/available/etd-06032014-203823/ ;

10. Tramel, Eric William. Distance-Weighted Regularization for Compressed-Sensing Video Recovery and Supervised Hyperspectral Classification.

Degree: PhD, Electrical and Computer Engineering, 2012, Mississippi State University

 The compressed sensing (CS) model of signal processing, while offering many unique advantages in terms of low-cost sensor design, poses interesting challenges for both signal… (more)

Subjects/Keywords: Compressed Sensing; Video Compression; Block Compressed Sensing; Supervised Classification; Hyperspectral Imagery

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APA (6th Edition):

Tramel, E. W. (2012). Distance-Weighted Regularization for Compressed-Sensing Video Recovery and Supervised Hyperspectral Classification. (Doctoral Dissertation). Mississippi State University. Retrieved from http://sun.library.msstate.edu/ETD-db/theses/available/etd-09212012-112351/ ;

Chicago Manual of Style (16th Edition):

Tramel, Eric William. “Distance-Weighted Regularization for Compressed-Sensing Video Recovery and Supervised Hyperspectral Classification.” 2012. Doctoral Dissertation, Mississippi State University. Accessed December 06, 2019. http://sun.library.msstate.edu/ETD-db/theses/available/etd-09212012-112351/ ;.

MLA Handbook (7th Edition):

Tramel, Eric William. “Distance-Weighted Regularization for Compressed-Sensing Video Recovery and Supervised Hyperspectral Classification.” 2012. Web. 06 Dec 2019.

Vancouver:

Tramel EW. Distance-Weighted Regularization for Compressed-Sensing Video Recovery and Supervised Hyperspectral Classification. [Internet] [Doctoral dissertation]. Mississippi State University; 2012. [cited 2019 Dec 06]. Available from: http://sun.library.msstate.edu/ETD-db/theses/available/etd-09212012-112351/ ;.

Council of Science Editors:

Tramel EW. Distance-Weighted Regularization for Compressed-Sensing Video Recovery and Supervised Hyperspectral Classification. [Doctoral Dissertation]. Mississippi State University; 2012. Available from: http://sun.library.msstate.edu/ETD-db/theses/available/etd-09212012-112351/ ;

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