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You searched for +publisher:"University of Houston" +contributor:("Fu, Xin"). Showing records 1 – 7 of 7 total matches.

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University of Houston

1. Megharaj, Paraag Ashok Kumar. Integrating Processing In-Memory (PIM) Technology into General Purpose Graphics Processing Units (GPGPU) for Energy Efficient Computing.

Degree: MSin Electrical Engineering, Electrical Engineering, 2017, University of Houston

 Processing-in-memory (PIM) offers a viable solution to overcome the memory wall crisis that has been plaguing memory system for decades. Due to advancements in 3D… (more)

Subjects/Keywords: Processing in-memory; GPGPU; Offloading

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APA (6th Edition):

Megharaj, P. A. K. (2017). Integrating Processing In-Memory (PIM) Technology into General Purpose Graphics Processing Units (GPGPU) for Energy Efficient Computing. (Masters Thesis). University of Houston. Retrieved from http://hdl.handle.net/10657/4820

Chicago Manual of Style (16th Edition):

Megharaj, Paraag Ashok Kumar. “Integrating Processing In-Memory (PIM) Technology into General Purpose Graphics Processing Units (GPGPU) for Energy Efficient Computing.” 2017. Masters Thesis, University of Houston. Accessed November 25, 2020. http://hdl.handle.net/10657/4820.

MLA Handbook (7th Edition):

Megharaj, Paraag Ashok Kumar. “Integrating Processing In-Memory (PIM) Technology into General Purpose Graphics Processing Units (GPGPU) for Energy Efficient Computing.” 2017. Web. 25 Nov 2020.

Vancouver:

Megharaj PAK. Integrating Processing In-Memory (PIM) Technology into General Purpose Graphics Processing Units (GPGPU) for Energy Efficient Computing. [Internet] [Masters thesis]. University of Houston; 2017. [cited 2020 Nov 25]. Available from: http://hdl.handle.net/10657/4820.

Council of Science Editors:

Megharaj PAK. Integrating Processing In-Memory (PIM) Technology into General Purpose Graphics Processing Units (GPGPU) for Energy Efficient Computing. [Masters Thesis]. University of Houston; 2017. Available from: http://hdl.handle.net/10657/4820


University of Houston

2. Zhang, Yiqun 1991-. Scalable Machine Learning Algorithms in Parallel Database Systems Exploiting A Data Summarization Matrix.

Degree: MS, Computer Science, 2016, University of Houston

 Data summarization is an essential mechanism to accelerate analytic algorithms on large data sets. In this work we present a comprehensive data summarization matrix, namely… (more)

Subjects/Keywords: Data summarization; Array; DBMS; Matrix multiplication; Machine learning; Big data analytics

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APA (6th Edition):

Zhang, Y. 1. (2016). Scalable Machine Learning Algorithms in Parallel Database Systems Exploiting A Data Summarization Matrix. (Masters Thesis). University of Houston. Retrieved from http://hdl.handle.net/10657/1482

Chicago Manual of Style (16th Edition):

Zhang, Yiqun 1991-. “Scalable Machine Learning Algorithms in Parallel Database Systems Exploiting A Data Summarization Matrix.” 2016. Masters Thesis, University of Houston. Accessed November 25, 2020. http://hdl.handle.net/10657/1482.

MLA Handbook (7th Edition):

Zhang, Yiqun 1991-. “Scalable Machine Learning Algorithms in Parallel Database Systems Exploiting A Data Summarization Matrix.” 2016. Web. 25 Nov 2020.

Vancouver:

Zhang Y1. Scalable Machine Learning Algorithms in Parallel Database Systems Exploiting A Data Summarization Matrix. [Internet] [Masters thesis]. University of Houston; 2016. [cited 2020 Nov 25]. Available from: http://hdl.handle.net/10657/1482.

Council of Science Editors:

Zhang Y1. Scalable Machine Learning Algorithms in Parallel Database Systems Exploiting A Data Summarization Matrix. [Masters Thesis]. University of Houston; 2016. Available from: http://hdl.handle.net/10657/1482


University of Houston

3. -5055-5720. Multidimensional Aggregations in Parallel Database Systems.

Degree: PhD, Computer Science, 2017, University of Houston

 Aggregations help computing summaries of a data set, which are ubiquitous in various big data analytics problems. In this dissertation, we provide two major technical… (more)

Subjects/Keywords: Databases; Multidimensional; Aggregation; Parallel; Cube; OLAP; Machine learning; Data summarization; PCA; Regression; Percentage

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APA (6th Edition):

-5055-5720. (2017). Multidimensional Aggregations in Parallel Database Systems. (Doctoral Dissertation). University of Houston. Retrieved from http://hdl.handle.net/10657/5686

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Chicago Manual of Style (16th Edition):

-5055-5720. “Multidimensional Aggregations in Parallel Database Systems.” 2017. Doctoral Dissertation, University of Houston. Accessed November 25, 2020. http://hdl.handle.net/10657/5686.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

MLA Handbook (7th Edition):

-5055-5720. “Multidimensional Aggregations in Parallel Database Systems.” 2017. Web. 25 Nov 2020.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Vancouver:

-5055-5720. Multidimensional Aggregations in Parallel Database Systems. [Internet] [Doctoral dissertation]. University of Houston; 2017. [cited 2020 Nov 25]. Available from: http://hdl.handle.net/10657/5686.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Council of Science Editors:

-5055-5720. Multidimensional Aggregations in Parallel Database Systems. [Doctoral Dissertation]. University of Houston; 2017. Available from: http://hdl.handle.net/10657/5686

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete


University of Houston

4. Shah, Chinmay. Virtual Synchronous Machine based Fuzzy V-F Control for VSC of Battery Storage System for Seamless Performance of Microgrid.

Degree: MSin Electrical Engineering, Electrical Engineering, 2017, University of Houston

 This thesis presents seamless transition between the grid-connected and islanded mode of microgrid. The prominence of the seamless transition is to maintain the load voltage… (more)

Subjects/Keywords: Virtual Synchronous Machine; Fuzzy Control; Microgrid; Voltage Source Converter

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APA (6th Edition):

Shah, C. (2017). Virtual Synchronous Machine based Fuzzy V-F Control for VSC of Battery Storage System for Seamless Performance of Microgrid. (Masters Thesis). University of Houston. Retrieved from http://hdl.handle.net/10657/4575

Chicago Manual of Style (16th Edition):

Shah, Chinmay. “Virtual Synchronous Machine based Fuzzy V-F Control for VSC of Battery Storage System for Seamless Performance of Microgrid.” 2017. Masters Thesis, University of Houston. Accessed November 25, 2020. http://hdl.handle.net/10657/4575.

MLA Handbook (7th Edition):

Shah, Chinmay. “Virtual Synchronous Machine based Fuzzy V-F Control for VSC of Battery Storage System for Seamless Performance of Microgrid.” 2017. Web. 25 Nov 2020.

Vancouver:

Shah C. Virtual Synchronous Machine based Fuzzy V-F Control for VSC of Battery Storage System for Seamless Performance of Microgrid. [Internet] [Masters thesis]. University of Houston; 2017. [cited 2020 Nov 25]. Available from: http://hdl.handle.net/10657/4575.

Council of Science Editors:

Shah C. Virtual Synchronous Machine based Fuzzy V-F Control for VSC of Battery Storage System for Seamless Performance of Microgrid. [Masters Thesis]. University of Houston; 2017. Available from: http://hdl.handle.net/10657/4575


University of Houston

5. Gaure, Prateek. Decentralized-Inverter Based Reactive Power Compensation of Active Meshed Distribution Network.

Degree: MS, Electrical Engineering, University of Houston

 This thesis presents the analysis of voltage control in distribution systems, with the presence of distributed generation (DG). In microgrids, many smaller renewable generators (e.g,… (more)

Subjects/Keywords: Distributed Generation; Distributed Energy Resource; Reactive Power Compensation

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APA (6th Edition):

Gaure, P. (n.d.). Decentralized-Inverter Based Reactive Power Compensation of Active Meshed Distribution Network. (Masters Thesis). University of Houston. Retrieved from http://hdl.handle.net/10657/3689

Note: this citation may be lacking information needed for this citation format:
No year of publication.

Chicago Manual of Style (16th Edition):

Gaure, Prateek. “Decentralized-Inverter Based Reactive Power Compensation of Active Meshed Distribution Network.” Masters Thesis, University of Houston. Accessed November 25, 2020. http://hdl.handle.net/10657/3689.

Note: this citation may be lacking information needed for this citation format:
No year of publication.

MLA Handbook (7th Edition):

Gaure, Prateek. “Decentralized-Inverter Based Reactive Power Compensation of Active Meshed Distribution Network.” Web. 25 Nov 2020.

Note: this citation may be lacking information needed for this citation format:
No year of publication.

Vancouver:

Gaure P. Decentralized-Inverter Based Reactive Power Compensation of Active Meshed Distribution Network. [Internet] [Masters thesis]. University of Houston; [cited 2020 Nov 25]. Available from: http://hdl.handle.net/10657/3689.

Note: this citation may be lacking information needed for this citation format:
No year of publication.

Council of Science Editors:

Gaure P. Decentralized-Inverter Based Reactive Power Compensation of Active Meshed Distribution Network. [Masters Thesis]. University of Houston; Available from: http://hdl.handle.net/10657/3689

Note: this citation may be lacking information needed for this citation format:
No year of publication.


University of Houston

6. Sinha, Soumya. Modified Control for Single-Phase Fuel Cell Systems with Input Ripple Compensation and Improved Output Quality.

Degree: MS, Electrical Engineering, University of Houston

 Fuel cells serve as a clean, renewable and efficient source of electrical energy. The power conditioning system associated with their applications consist of a DC-DC… (more)

Subjects/Keywords: Power electronics; Fuel cell; Second harmonic current; DC-DC boost converter; Single-phase; Inverters

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APA (6th Edition):

Sinha, S. (n.d.). Modified Control for Single-Phase Fuel Cell Systems with Input Ripple Compensation and Improved Output Quality. (Masters Thesis). University of Houston. Retrieved from http://hdl.handle.net/10657/2781

Note: this citation may be lacking information needed for this citation format:
No year of publication.

Chicago Manual of Style (16th Edition):

Sinha, Soumya. “Modified Control for Single-Phase Fuel Cell Systems with Input Ripple Compensation and Improved Output Quality.” Masters Thesis, University of Houston. Accessed November 25, 2020. http://hdl.handle.net/10657/2781.

Note: this citation may be lacking information needed for this citation format:
No year of publication.

MLA Handbook (7th Edition):

Sinha, Soumya. “Modified Control for Single-Phase Fuel Cell Systems with Input Ripple Compensation and Improved Output Quality.” Web. 25 Nov 2020.

Note: this citation may be lacking information needed for this citation format:
No year of publication.

Vancouver:

Sinha S. Modified Control for Single-Phase Fuel Cell Systems with Input Ripple Compensation and Improved Output Quality. [Internet] [Masters thesis]. University of Houston; [cited 2020 Nov 25]. Available from: http://hdl.handle.net/10657/2781.

Note: this citation may be lacking information needed for this citation format:
No year of publication.

Council of Science Editors:

Sinha S. Modified Control for Single-Phase Fuel Cell Systems with Input Ripple Compensation and Improved Output Quality. [Masters Thesis]. University of Houston; Available from: http://hdl.handle.net/10657/2781

Note: this citation may be lacking information needed for this citation format:
No year of publication.


University of Houston

7. Khan, Tariq. Real-Time Management of Smart Grid Using Multi-Agent Systems.

Degree: MSin Electrical Engineering, Electrical Engineering, University of Houston

 In this thesis, we explore the following three areas: Design of a multi-agent system (MAS) and a microgrid, implementation of MAS in a microgrid, and… (more)

Subjects/Keywords: Microgrid; Smartgrid; Multi-agent system (MAS); Agents

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APA (6th Edition):

Khan, T. (n.d.). Real-Time Management of Smart Grid Using Multi-Agent Systems. (Masters Thesis). University of Houston. Retrieved from http://hdl.handle.net/10657/3577

Note: this citation may be lacking information needed for this citation format:
No year of publication.

Chicago Manual of Style (16th Edition):

Khan, Tariq. “Real-Time Management of Smart Grid Using Multi-Agent Systems.” Masters Thesis, University of Houston. Accessed November 25, 2020. http://hdl.handle.net/10657/3577.

Note: this citation may be lacking information needed for this citation format:
No year of publication.

MLA Handbook (7th Edition):

Khan, Tariq. “Real-Time Management of Smart Grid Using Multi-Agent Systems.” Web. 25 Nov 2020.

Note: this citation may be lacking information needed for this citation format:
No year of publication.

Vancouver:

Khan T. Real-Time Management of Smart Grid Using Multi-Agent Systems. [Internet] [Masters thesis]. University of Houston; [cited 2020 Nov 25]. Available from: http://hdl.handle.net/10657/3577.

Note: this citation may be lacking information needed for this citation format:
No year of publication.

Council of Science Editors:

Khan T. Real-Time Management of Smart Grid Using Multi-Agent Systems. [Masters Thesis]. University of Houston; Available from: http://hdl.handle.net/10657/3577

Note: this citation may be lacking information needed for this citation format:
No year of publication.

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