+publisher:"University of Oklahoma" +contributor:("Zhu, Meijun")

University of Oklahoma

1. Cheng, Kesong. MATHEMATICAL THEORY IN CLASSIFICATION AND SEGMENTATION.

Degree: PhD, 2012, University of Oklahoma

URL: http://hdl.handle.net/11244/320215

► We develop several mathematical approaches to solve a series of questions of interdisciplinary research interests. New distance functions are designed for the verification of meteorological… (more)

Subjects/Keywords: Numerical weather forecasting; Weather forecasting – Mathematical models; Cluster analysis

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APA (6^th Edition):

Cheng, K. (2012). MATHEMATICAL THEORY IN CLASSIFICATION AND SEGMENTATION. (Doctoral Dissertation). University of Oklahoma. Retrieved from http://hdl.handle.net/11244/320215

Chicago Manual of Style (16^th Edition):

Cheng, Kesong. “MATHEMATICAL THEORY IN CLASSIFICATION AND SEGMENTATION.” 2012. Doctoral Dissertation, University of Oklahoma. Accessed February 28, 2021. http://hdl.handle.net/11244/320215.

MLA Handbook (7^th Edition):

Cheng, Kesong. “MATHEMATICAL THEORY IN CLASSIFICATION AND SEGMENTATION.” 2012. Web. 28 Feb 2021.

Vancouver:

Cheng K. MATHEMATICAL THEORY IN CLASSIFICATION AND SEGMENTATION. [Internet] [Doctoral dissertation]. University of Oklahoma; 2012. [cited 2021 Feb 28]. Available from: http://hdl.handle.net/11244/320215.

Council of Science Editors:

Cheng K. MATHEMATICAL THEORY IN CLASSIFICATION AND SEGMENTATION. [Doctoral Dissertation]. University of Oklahoma; 2012. Available from: http://hdl.handle.net/11244/320215

University of Oklahoma

2. Zhu, Min. EEG/MEG Sparse Source Imaging and Its Application in Epilepsy.

Degree: PhD, 2013, University of Oklahoma

URL: http://hdl.handle.net/11244/7905

► This dissertation is a summary of my Ph.D. work on the development of sparse source imaging technologies based on electroencephalography (EEG) and magneto-encephalography (MEG) and… (more)

▼ This dissertation is a summary of my Ph.D. work on the development of sparse source imaging technologies based on electroencephalography (EEG) and magneto-encephalography (MEG) and their application to noninvasively reconstruct brain activation from external surface measurements. Conventional sparse source imaging (SSI) methods using the ℓ1-norm regularization to enforce sparseness in the original source domain leads to over-focused solutions and causes bias in estimating spatially extended brain sources. I address the over-focused issue in the ℓ1-norm regularization technique framework by exploring sparseness in the transform domains. First, I apply a SSI method that uses the variation transform, i.e. V-SSI, on clinical MEG interictal recordings from partial epilepsy patients. Estimated epileptic sources by V-SSI are validated using clinical pre-surgical evaluation data and surgical outcomes. Second, I implement a novel face-based wavelet transform, which can efficiently compress brain activation signals into sparse representations on a multi-resolution cortical source model, into the SSI technology framework. The proposed wavelet-based SSI (W-SSI) demonstrates a significantly improved ability in inferring both brain source locations and extents as compared with conventional ℓ2-norm regularizations in obtaining EEG/MEG inverse solutions and other SSI technologies. Furthermore, the face-based wavelet also indicates better performance than a previously reported vertex-based wavelet in W-SSI. I evaluate the W-SSI method and conduct the comparison studies using both simulations and real data collected from partial epilepsy patients. Lastly, I further propose the concept of using multiple transforms in the SSI technology framework and investigated a new SSI method by enforcing sparseness in both variation and face-based wavelet domains, termed as VW-SSI. I conduct simulation studies, which demonstrate that VW-SSI has significantly better detection accuracies in both source locations and extents than conventional ℓ2-norm regularizations and other SSI methods, including SSI, V-SSI, and W-SSI. I further validate the VW-SSI method using clinical MEG data from both language and motor experiments collected from epilepsy patients again to localize their important functional brain areas. The results indicate that VW-SSI provides a performance advantage in detecting neural phenomena that have been extremely difficult to recognize by other EEG/MEG inverse solutions. It thus suggests that the sparse source imaging technique is promising to serve as a non-invasive tool in assisting pre-surgical planning for partial epilepsy patients. Advisors/Committee Members: Ding, Lei (advisor), Ding, Lei (committee member), Zhu, Meijun (committee member), Fagg, Andrew (committee member), Havlicek, Joseph (committee member), Liu, Hong (committee member).

Subjects/Keywords: Engineering; Electronics and Electrical.

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APA (6^th Edition):

Zhu, M. (2013). EEG/MEG Sparse Source Imaging and Its Application in Epilepsy. (Doctoral Dissertation). University of Oklahoma. Retrieved from http://hdl.handle.net/11244/7905

Chicago Manual of Style (16^th Edition):

Zhu, Min. “EEG/MEG Sparse Source Imaging and Its Application in Epilepsy.” 2013. Doctoral Dissertation, University of Oklahoma. Accessed February 28, 2021. http://hdl.handle.net/11244/7905.

MLA Handbook (7^th Edition):

Zhu, Min. “EEG/MEG Sparse Source Imaging and Its Application in Epilepsy.” 2013. Web. 28 Feb 2021.

Vancouver:

Zhu M. EEG/MEG Sparse Source Imaging and Its Application in Epilepsy. [Internet] [Doctoral dissertation]. University of Oklahoma; 2013. [cited 2021 Feb 28]. Available from: http://hdl.handle.net/11244/7905.

Council of Science Editors:

Zhu M. EEG/MEG Sparse Source Imaging and Its Application in Epilepsy. [Doctoral Dissertation]. University of Oklahoma; 2013. Available from: http://hdl.handle.net/11244/7905

University of Oklahoma

3. Tu, Qichao. METAGENOMIC INSIGHTS INTO MICROBIAL COMMUNITY RESPONSES TO LONG-TERM ELEVATED CO2.

Degree: PhD, 2014, University of Oklahoma

URL: http://hdl.handle.net/11244/10457

► Understanding how belowground microbial communities respond to increasing atmospheric CO2 is of crucial importance for global change biology, microbial ecology and predictive biology. However, our… (more)

▼ Understanding how belowground microbial communities respond to increasing atmospheric CO2 is of crucial importance for global change biology, microbial ecology and predictive biology. However, our understanding of CO2 effects on microbial communities is still limited, especially due to the immense diversity and as yet-uncultivable nature of most soil microorganisms. By implementing next generation sequencing (NGS) technologies, we comprehensively surveyed the responses of microbial communities to elevated CO2 (eCO2) in the BioCON experimental site, a grassland ecosystem, which had been exposed to eCO2 for 12 years. In the beginning of this study, it was noticed that computational approaches to identify microbial strains/species from shotgum metagenomes are very limited, thus we have developed a computational algorithm, termed GSMer that identifies genome-specific markers (GSMs) from currently sequenced microbial genomes for strain/species identification in metagenomes. Although GSMer was not very successfully applied in our soil metagenomes due to the extremely low coverage and high diversity of soil microbial communities as well as short sequencing reads from early Illumina GAII performs, it was successfully used to analyze microbial communities with a good coverage of reference genomes, such as human microbiomes. Sensitivity evaluation against synthetic metagenomes with different levels of coverage suggested that 50 GSMs per strain were sufficient to identify most microbial strains with ≥ 0.25x coverage, and 10% of selected GSMs in a database should be detected for confident positive callings. Application of GSMs respectively identified 45 and 74 microbial strains/species significantly associated with type-2-diabetes (T2D) patients and obese/lean individuals from corresponding gastrointestinal tract metagenomes. Our results agreed well with previous studies, but provided strain-level information. In the following, we analyzed the biodiversity, composition, structure and functional potential of soil microbial communities in response to eCO2 at multiple (e.g., phylogenetic, taxonomic, genetic, functional) dimensions using next generation sequencing approaches. For each dimension of microbial biodiversity, all components of diversity, including alpha-, beta- and gamma-diversity were analyzed. Our results suggested that long-term eCO2 decreased the overall microbial biodiversity. Beta-diversity analysis suggested eCO2 decreased functional beta-diversity, but increased taxonomic and phylogenetic diversity, suggesting long-term eCO2 selected for microbial function rather than taxonomy. Further meta-analysis suggested that such decreased biodiversity was significantly negatively correlated with increased soil ammonification rate. Moreover, the abundance of gene families involved in ammonium producing pathways increased significantly as well, indicating a functional convergence process as a result of higher demand for biologically available nitrogen (N) by stimulated plant growth as a result of eCO2. Our findings… Advisors/Committee Members: Zhou, Jizhong (advisor), Zhu, Meijun (committee member), Qi, Fengxia (Felicia) (committee member), McInerney, Michael (committee member), Stevenson, Bradley (committee member).

Subjects/Keywords: Biology; Microbiology.

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APA (6^th Edition):

Tu, Q. (2014). METAGENOMIC INSIGHTS INTO MICROBIAL COMMUNITY RESPONSES TO LONG-TERM ELEVATED CO2. (Doctoral Dissertation). University of Oklahoma. Retrieved from http://hdl.handle.net/11244/10457

Chicago Manual of Style (16^th Edition):

Tu, Qichao. “METAGENOMIC INSIGHTS INTO MICROBIAL COMMUNITY RESPONSES TO LONG-TERM ELEVATED CO2.” 2014. Doctoral Dissertation, University of Oklahoma. Accessed February 28, 2021. http://hdl.handle.net/11244/10457.

MLA Handbook (7^th Edition):

Tu, Qichao. “METAGENOMIC INSIGHTS INTO MICROBIAL COMMUNITY RESPONSES TO LONG-TERM ELEVATED CO2.” 2014. Web. 28 Feb 2021.

Vancouver:

Tu Q. METAGENOMIC INSIGHTS INTO MICROBIAL COMMUNITY RESPONSES TO LONG-TERM ELEVATED CO2. [Internet] [Doctoral dissertation]. University of Oklahoma; 2014. [cited 2021 Feb 28]. Available from: http://hdl.handle.net/11244/10457.

Council of Science Editors:

Tu Q. METAGENOMIC INSIGHTS INTO MICROBIAL COMMUNITY RESPONSES TO LONG-TERM ELEVATED CO2. [Doctoral Dissertation]. University of Oklahoma; 2014. Available from: http://hdl.handle.net/11244/10457

University of Oklahoma

4. Shi, Zhou. DEVELOPMENT OF HIGH-THROUGHPUT EXPERIMENTAL AND COMPUTATIONAL TECHNOLOGIES FOR ANALYZING MICROBIAL FUNCTIONS AND INTERACTIONS IN ENVIRONMENTAL METAGENOMES.

Degree: PhD, 2017, University of Oklahoma

URL: http://hdl.handle.net/11244/50834

► Microorganisms are ubiquitous on earth, and they interact each other to form communities, which play unique and integral roles in various biochemical processes and functions… (more)

▼ Microorganisms are ubiquitous on earth, and they interact each other to form communities, which play unique and integral roles in various biochemical processes and functions that are of critical importance in global biogeochemical cycling, human health, energy, climate change, environmental remediation, engineering, industry, and agriculture. However, identification, characterization, and quantification of microbial communities are still limited, due to the extreme diversity and yet-uncultivable nature of a vast majority of microorganisms, and our understanding of microbial communities is further hindered by complex organization and dynamics of interactions among microorganisms. In this work, we developed high-throughput functional gene arrays (FGAs), bioinformatics tools and computational methods for analysis of microbial metagenomes and interactomes to address some of the limitations, whose powerfulness were demonstrated in application studies. In the beginning of this work, we developed a high-throughput FGA for characterizing a specific group of microorganisms - plant growth promoting microorganisms (PGPMs). PGPMs can promote plant growth and suppress disease directly and/or indirectly by enhancing soil fertility and plant resistance to biotic and abiotic stresses, thus may contribute to the success of invasive plants over native species. However, PGPMs are highly diverse in terms of both species richness and plant promoting mechanisms. Therefore, it is difficult to study the PGPMs changes along with environment shifts, and their subsequent impacts on plant performance and ecosystem functioning. The developed high-throughput FGA, termed Plant Associated Beneficial Microorganism Chip (PABMC), focused on functional genes from PGPMs that are beneficial to plants. A total of 3,870 probes covering 34 functional gene families were designed in PABMC, including six categories: plant growth-promoting hormones, plant pathogen resistance, antibiotics, antioxidants, drought tolerance, and secondary benefits (e.g. elicitor of plant immune defense response). Computational analysis showed that ~98% of the probes were highly specific at the species or strain level. The PABMC was also applied to investigate PGPMs’ responses to Ageratina adenophora (A. adenophora) invasion in a natural grassland, and showed A. adenophora invasion increased the alpha diversity and shifted the composition of PGPM communities compared with what from the native site. The PABMC uncovered changes in abundance of a key gene related to drought tolerance, pathogen resistance, antibiotic biosynthesis, and antioxidant biosynthesis, due to A. adenophora invasion. These changes may promote the survival and growth of A. adenophora over native species in the site we studied. Next, we developed GeoChip 5.0, and advanced the FGA based metagenomics technology to a new level of comprehensiveness, for analyzing complex microbial communities. GeoChip 5.0 was based on Agilent platform, with two formats. The smaller format contained 60K probes (GeoChip 5.0S), majorly… Advisors/Committee Members: Krumholz, Lee (advisor), Zhu, Meijun (committee member), Luo, Yiqi (committee member), Radhakrishnan, Sridhar (committee member), Zhou, Jizhong (committee member).

Subjects/Keywords: Computational Biology; Bioinformatics; Biotechnology; Metagenomics and Microbial Ecology

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Shi, Z. (2017). DEVELOPMENT OF HIGH-THROUGHPUT EXPERIMENTAL AND COMPUTATIONAL TECHNOLOGIES FOR ANALYZING MICROBIAL FUNCTIONS AND INTERACTIONS IN ENVIRONMENTAL METAGENOMES. (Doctoral Dissertation). University of Oklahoma. Retrieved from http://hdl.handle.net/11244/50834

Chicago Manual of Style (16^th Edition):

Shi, Zhou. “DEVELOPMENT OF HIGH-THROUGHPUT EXPERIMENTAL AND COMPUTATIONAL TECHNOLOGIES FOR ANALYZING MICROBIAL FUNCTIONS AND INTERACTIONS IN ENVIRONMENTAL METAGENOMES.” 2017. Doctoral Dissertation, University of Oklahoma. Accessed February 28, 2021. http://hdl.handle.net/11244/50834.

MLA Handbook (7^th Edition):

Shi, Zhou. “DEVELOPMENT OF HIGH-THROUGHPUT EXPERIMENTAL AND COMPUTATIONAL TECHNOLOGIES FOR ANALYZING MICROBIAL FUNCTIONS AND INTERACTIONS IN ENVIRONMENTAL METAGENOMES.” 2017. Web. 28 Feb 2021.

Vancouver:

Shi Z. DEVELOPMENT OF HIGH-THROUGHPUT EXPERIMENTAL AND COMPUTATIONAL TECHNOLOGIES FOR ANALYZING MICROBIAL FUNCTIONS AND INTERACTIONS IN ENVIRONMENTAL METAGENOMES. [Internet] [Doctoral dissertation]. University of Oklahoma; 2017. [cited 2021 Feb 28]. Available from: http://hdl.handle.net/11244/50834.

Council of Science Editors:

Shi Z. DEVELOPMENT OF HIGH-THROUGHPUT EXPERIMENTAL AND COMPUTATIONAL TECHNOLOGIES FOR ANALYZING MICROBIAL FUNCTIONS AND INTERACTIONS IN ENVIRONMENTAL METAGENOMES. [Doctoral Dissertation]. University of Oklahoma; 2017. Available from: http://hdl.handle.net/11244/50834

University of Oklahoma

5. Li, Suyu. Some sharp inequalities related to Moser-Tridinger-Onofri inequality.

Degree: PhD, 2014, University of Oklahoma

URL: http://hdl.handle.net/11244/10370

► In this dissertation, we focus on the study of sharp inequalities of Moser- Trudinger-Onofri type. We first establish the analog Bliss and Hardy inequal- ities… (more)

Subjects/Keywords: Mathematics.

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APA (6^th Edition):

Li, S. (2014). Some sharp inequalities related to Moser-Tridinger-Onofri inequality. (Doctoral Dissertation). University of Oklahoma. Retrieved from http://hdl.handle.net/11244/10370

Chicago Manual of Style (16^th Edition):

Li, Suyu. “Some sharp inequalities related to Moser-Tridinger-Onofri inequality.” 2014. Doctoral Dissertation, University of Oklahoma. Accessed February 28, 2021. http://hdl.handle.net/11244/10370.

MLA Handbook (7^th Edition):

Li, Suyu. “Some sharp inequalities related to Moser-Tridinger-Onofri inequality.” 2014. Web. 28 Feb 2021.

Vancouver:

Li S. Some sharp inequalities related to Moser-Tridinger-Onofri inequality. [Internet] [Doctoral dissertation]. University of Oklahoma; 2014. [cited 2021 Feb 28]. Available from: http://hdl.handle.net/11244/10370.

Council of Science Editors:

Li S. Some sharp inequalities related to Moser-Tridinger-Onofri inequality. [Doctoral Dissertation]. University of Oklahoma; 2014. Available from: http://hdl.handle.net/11244/10370

University of Oklahoma

6. TANG, SHIYUN. SOME RESULTS ON ELLIPTIC EQUATIONS AND MODELING SEASONAL DYNAMICS OF HUMAN INFLUENZA.

Degree: PhD, 2015, University of Oklahoma

URL: http://hdl.handle.net/11244/15224

► This dissertation includes two parts: the theoretical study of an elliptic equation, and the practical study regarding the seasonality of human influenza. In the first… (more)

Subjects/Keywords: ELLIPTIC EQUATIONS; MODELING; HUMAN INFLUENZA

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

TANG, S. (2015). SOME RESULTS ON ELLIPTIC EQUATIONS AND MODELING SEASONAL DYNAMICS OF HUMAN INFLUENZA. (Doctoral Dissertation). University of Oklahoma. Retrieved from http://hdl.handle.net/11244/15224

Chicago Manual of Style (16^th Edition):

TANG, SHIYUN. “SOME RESULTS ON ELLIPTIC EQUATIONS AND MODELING SEASONAL DYNAMICS OF HUMAN INFLUENZA.” 2015. Doctoral Dissertation, University of Oklahoma. Accessed February 28, 2021. http://hdl.handle.net/11244/15224.

MLA Handbook (7^th Edition):

TANG, SHIYUN. “SOME RESULTS ON ELLIPTIC EQUATIONS AND MODELING SEASONAL DYNAMICS OF HUMAN INFLUENZA.” 2015. Web. 28 Feb 2021.

Vancouver:

TANG S. SOME RESULTS ON ELLIPTIC EQUATIONS AND MODELING SEASONAL DYNAMICS OF HUMAN INFLUENZA. [Internet] [Doctoral dissertation]. University of Oklahoma; 2015. [cited 2021 Feb 28]. Available from: http://hdl.handle.net/11244/15224.

Council of Science Editors:

TANG S. SOME RESULTS ON ELLIPTIC EQUATIONS AND MODELING SEASONAL DYNAMICS OF HUMAN INFLUENZA. [Doctoral Dissertation]. University of Oklahoma; 2015. Available from: http://hdl.handle.net/11244/15224

University of Oklahoma

7. Qin, Yujia. Studying microbial community diversities by developing high-throughput experimental techniques and computational tools.

Degree: PhD, 2018, University of Oklahoma

URL: http://hdl.handle.net/11244/316306

► Since the advent of high-throughput technologies, the understanding of microbial biodiversity has rapidly transformed. Amplicon sequencing of phylogenetic makers, especially 16S rRNA genes has now… (more)

▼ Since the advent of high-throughput technologies, the understanding of microbial biodiversity has rapidly transformed. Amplicon sequencing of phylogenetic makers, especially 16S rRNA genes has now become a well-adopted tool to discover microbial taxonomic diversities in virtually all habitats, aquatic, terrestrial, local or global ecosystems. Although high-throughput sequencing, such as Illumina-based technologies (e.g. MiSeq), has revolutionized microbial ecology, the adoption of amplicon sequencing for environmental microbial community analysis is challenging due to the problem of low base diversity of the target region. In this study, a new phasing amplicon sequencing approach (PAS) was developed by shifting sequencing phases among different community samples from both directions via adding various numbers of bases (0–7) as spacers to both forward and reverse primers. Our results first indicated that the PAS method substantially ameliorated the problem of unbalanced base composition. Second, the PAS method substantially improved the sequence read base quality (an average of 10 % higher of bases above Q30). Third, the PAS method effectively increased raw sequence throughput (~15 % more raw reads). In addition, the PAS method significantly increased effective reads (9–47 %) and the effective read sequence length (16–96 more bases) after quality trim at Q30 with window 5. In addition, the PAS method reduced half of the sequencing errors (0.54–1.1 % less). Finally, two-step PCR amplification of the PAS method effectively ameliorated the amplification biases introduced by the long-barcoded PCR primers. The developed strategy is robust for 16S rRNA gene amplicon sequencing, and a similar strategy could also be used for sequencing other genes important to ecosystem functional processes. To facilitate the analysis of the data produced from the amplicon sequencing technologies, a data analysis pipeline is developed and is running to serve more than 200 users with the data processing and preliminary analysis for the amplicon sequences. The publicly available pipelines, such as QIIME(Caporaso, Kuczynski et al. 2010, Caporaso, Lauber et al. 2012) and MOTHUR (Schloss, Westcott et al. 2009), are mostly standalone services and need minimum program skills to perform the analysis. Our pipeline provides a more user-friendly interface through webpage and users will only need to click buttons rather than type command lines to perform the basic data analysis. Besides the convenient operations, the Galaxy platform provides an organized way to upload, store, track and share the data histories from different projects. The pipeline is also flexible to add new programs that are developed by others and the data source is not limited to 16S rRNAs but also functional gene amplicon sequences. The pipeline has served the research community for several years, and more than a dozen papers are published using this pipeline. A practical application of amplicon sequencing was followed to discover the biodiversity of microbial fungal… Advisors/Committee Members: Zhou, Jizhong (advisor), Zhu, Meijun (committee member), McInerney, Michael J. (committee member), Neeman, Henry (committee member), Stevenson, Bradley S. (committee member).

Subjects/Keywords: Microbiol diversity; High-throughput technology; Functional diversity; Fungi diversity

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Qin, Y. (2018). Studying microbial community diversities by developing high-throughput experimental techniques and computational tools. (Doctoral Dissertation). University of Oklahoma. Retrieved from http://hdl.handle.net/11244/316306

Chicago Manual of Style (16^th Edition):

Qin, Yujia. “Studying microbial community diversities by developing high-throughput experimental techniques and computational tools.” 2018. Doctoral Dissertation, University of Oklahoma. Accessed February 28, 2021. http://hdl.handle.net/11244/316306.

MLA Handbook (7^th Edition):

Qin, Yujia. “Studying microbial community diversities by developing high-throughput experimental techniques and computational tools.” 2018. Web. 28 Feb 2021.

Vancouver:

Qin Y. Studying microbial community diversities by developing high-throughput experimental techniques and computational tools. [Internet] [Doctoral dissertation]. University of Oklahoma; 2018. [cited 2021 Feb 28]. Available from: http://hdl.handle.net/11244/316306.

Council of Science Editors:

Qin Y. Studying microbial community diversities by developing high-throughput experimental techniques and computational tools. [Doctoral Dissertation]. University of Oklahoma; 2018. Available from: http://hdl.handle.net/11244/316306

University of Oklahoma

8. Lynam, Matthew. Extensional Maps.

Degree: PhD, 2014, University of Oklahoma

URL: http://hdl.handle.net/11244/10391

► In a recent paper, Ziga Virk defined a type of continuous map which preserves extension properties. We generalize this notion and call such maps extensional… (more)

Subjects/Keywords: Mathematics.

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APA (6^th Edition):

Lynam, M. (2014). Extensional Maps. (Doctoral Dissertation). University of Oklahoma. Retrieved from http://hdl.handle.net/11244/10391

Chicago Manual of Style (16^th Edition):

Lynam, Matthew. “Extensional Maps.” 2014. Doctoral Dissertation, University of Oklahoma. Accessed February 28, 2021. http://hdl.handle.net/11244/10391.

MLA Handbook (7^th Edition):

Lynam, Matthew. “Extensional Maps.” 2014. Web. 28 Feb 2021.

Vancouver:

Lynam M. Extensional Maps. [Internet] [Doctoral dissertation]. University of Oklahoma; 2014. [cited 2021 Feb 28]. Available from: http://hdl.handle.net/11244/10391.

Council of Science Editors:

Lynam M. Extensional Maps. [Doctoral Dissertation]. University of Oklahoma; 2014. Available from: http://hdl.handle.net/11244/10391

University of Oklahoma

9. Ogunsola, Oluwaseyi. Investigation of Methodologies for Minimizing Buildings Electricity Demand and Cost.

Degree: PhD, 2016, University of Oklahoma

URL: http://hdl.handle.net/11244/34736

► Heating, ventilating, and air conditioning (HVAC) systems are the largest consumer of electricity in buildings. The HVAC system is complex in terms of components that… (more)

▼ Heating, ventilating, and air conditioning (HVAC) systems are the largest consumer of electricity in buildings. The HVAC system is complex in terms of components that make them up and their different time scales. The inefficient operation of HVAC system leads to unreasonable electricity consumption during peak periods, which is accompanied by high cost of electricity use. The dynamic changes in building demand, contributions from exogenous inputs such as solar radiation and ambient temperature, and phenomenon such as radiative delays, thermal storage, internal mass etc. are some of the current challenges in buildings systems operation. Due to dynamic and thermal coupling between the conditioned building and HVAC systems components, optimal control is difficult to achieve. In a multi-zone building, multiple thermal interactions among the different thermal zones and the effects on electricity demand and cost are not well understood, due to lack of fundamental knowledge. The existing strategies for electricity demand and cost control do not consider the dynamics of building construction and multi-zone interactions in their formulation. As a result, existing demand and electricity minimization strategies are not consistent in their conclusions. Meanwhile, multi-zone interactions and building dynamics play a crucial role in the overall electricity demand, cost, and load profiles due to the dependency of states of each individual zone on the thermal characteristics and states of the adjacent zones. The objective of this research is to understand multi-zone and equipment interactions in buildings energy systems, in order to minimize electricity cost. This is the first research to integrate building dynamics into controller formulation and design through the use of a physically representative thermal model that captures important phenomenon of building load and cooling coil operations. The intellectual contribution of this research is the understanding of multiple-zone interactions in buildings to aid in effective decision making regarding the operational states of HVAC equipment that minimizes overall electricity cost. Other original contributions are identification of critical thermal zones in a multi-zone building, extension of the R-C thermal network approach for transient modeling of cooling coils, identification of new methods (near constant cooling and temperature recovery/optimal start) for minimizing buildings electricity demand and cost, downsizing of heating system size based on passive thermal storage properties of building construction, and demonstration of the electricity cost savings capabilities in air handling units operations through the use of Model predictive control (MPC) methods. This is the first research to demonstrate predictive control that utilizes building dynamics through the use of models that represent the building physically and captures important phenomenon e.g. radiative delays and thermal storage. Therefore, it provides opportunities to strategically maximize curtailment potentials… Advisors/Committee Members: Song, Li (advisor), Lai, Feng (committee member), Zhu, Meijun (committee member), Attar, Peter (committee member), Miller, David (committee member).

Subjects/Keywords: HVAC Systems Control; Thermal Network Model; Heat Transfer in Multi-zone Buildings; Model Predictive Control

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APA (6^th Edition):

Ogunsola, O. (2016). Investigation of Methodologies for Minimizing Buildings Electricity Demand and Cost. (Doctoral Dissertation). University of Oklahoma. Retrieved from http://hdl.handle.net/11244/34736

Chicago Manual of Style (16^th Edition):

Ogunsola, Oluwaseyi. “Investigation of Methodologies for Minimizing Buildings Electricity Demand and Cost.” 2016. Doctoral Dissertation, University of Oklahoma. Accessed February 28, 2021. http://hdl.handle.net/11244/34736.

MLA Handbook (7^th Edition):

Ogunsola, Oluwaseyi. “Investigation of Methodologies for Minimizing Buildings Electricity Demand and Cost.” 2016. Web. 28 Feb 2021.

Vancouver:

Ogunsola O. Investigation of Methodologies for Minimizing Buildings Electricity Demand and Cost. [Internet] [Doctoral dissertation]. University of Oklahoma; 2016. [cited 2021 Feb 28]. Available from: http://hdl.handle.net/11244/34736.

Council of Science Editors:

Ogunsola O. Investigation of Methodologies for Minimizing Buildings Electricity Demand and Cost. [Doctoral Dissertation]. University of Oklahoma; 2016. Available from: http://hdl.handle.net/11244/34736

University of Oklahoma

10. Li, Zhe. CYLINDRICAL POLARIMETRIC PHASED ARRAY RADAR DEMONSTRATOR: PERFORMANCE ASSESSMENT AND WEATHER MEASUREMENTS.

Degree: PhD, 2020, University of Oklahoma

URL: http://hdl.handle.net/11244/325311

► A desirable candidate for future weather observation is a polarimetric phased array radar (PPAR), which is capable of both using polarimetry for multi-parameter measurements and… (more)

▼ A desirable candidate for future weather observation is a polarimetric phased array radar (PPAR), which is capable of both using polarimetry for multi-parameter measurements and the fast-scan proficiency of the PAR. However, it is challenging to collect high-quality polarimetric radar data of weather with a planar PPAR (PPPAR), whose beam and polarization characteristics change with the electronic beam direction, causing geometrically induced cross-polarization coupling, sensitivity losses, and measurement biases when the PPPAR beam is steered away from the broadside. As an alternative to PPPAR, the concept of cylindrical polarimetric phased array radar (CPPAR) was proposed, which has scan-invariant beam characteristics in azimuth and polarization purity in all directions using commutating scan, thus enables high quality polarimetric weather measurements. To validate the CPPAR concept, a small-scale CPPAR demonstrator has been jointly developed by the Advanced Radar Research Center (ARRC) at the University of Oklahoma (OU) and the National Severe Storms Laboratory (NSSL) of NOAA. This dissertation presents the results of initial weather measurements, shows the performance of the CPPAR demonstrator, and evaluates the polarimetric data quality that has been achieved. The system specifications and field tests of the CPPAR demonstrator are provided, including system overview, waveform design and verification, pattern optimization and far-field tests. In addition, three methods of system calibration are introduced and compared, including calibration with an external source, calibration with weather measurements of mechanical scan, and calibration with ground clutter. It is found that calibration with weather measurements of mechanical scan has the best performance and it is applied on the CPPAR demonstrator for the first time, which effectively improved the beam-to-beam consistency and radar data quality in commutating beam electronic scan by minimizing gain and beamwidth variations. Performance of the CPPAR is assessed through system simulation and weather measurements. The CPPAR is evaluated through an end-to-end phased array radar system simulator (PASIM). The simulation framework, weather returns modeling, antenna pattern, channel electronics, and simulation results of CPPAR, as well as comparison with those that would be obtained with a PPPAR, are provided. Also, weather measurements of a few convective precipitation cases and a stratiform precipitation case made with the CPPAR, employing the single beam mechanical scan and commutating beam electronic scan respectively, are presented. First, a qualitative comparison is made between the CPPAR and a nearby operational NEXRAD. Then a quantitative comparison is conducted between the mechanical scan and electronic scan, and error statistics are estimated and discussed. In addition, a theoretical explanation of a feature of the commutating beam electronic scan in clutter detection that is different from mechanical scan is presented and verified by measurements in clear… Advisors/Committee Members: Zhang, Guifu (advisor), Sigmarsson, Hjalti (committee member), Zrnić, Dusan (committee member), Zhu, Meijun (committee member), Zhang, Yan (committee member).

Subjects/Keywords: Engineering, Electronics and Electrical.; Weather Radar; Cylindrical Polarimetric Phased Array Radar

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Li, Z. (2020). CYLINDRICAL POLARIMETRIC PHASED ARRAY RADAR DEMONSTRATOR: PERFORMANCE ASSESSMENT AND WEATHER MEASUREMENTS. (Doctoral Dissertation). University of Oklahoma. Retrieved from http://hdl.handle.net/11244/325311

Chicago Manual of Style (16^th Edition):

Li, Zhe. “CYLINDRICAL POLARIMETRIC PHASED ARRAY RADAR DEMONSTRATOR: PERFORMANCE ASSESSMENT AND WEATHER MEASUREMENTS.” 2020. Doctoral Dissertation, University of Oklahoma. Accessed February 28, 2021. http://hdl.handle.net/11244/325311.

MLA Handbook (7^th Edition):

Li, Zhe. “CYLINDRICAL POLARIMETRIC PHASED ARRAY RADAR DEMONSTRATOR: PERFORMANCE ASSESSMENT AND WEATHER MEASUREMENTS.” 2020. Web. 28 Feb 2021.

Vancouver:

Li Z. CYLINDRICAL POLARIMETRIC PHASED ARRAY RADAR DEMONSTRATOR: PERFORMANCE ASSESSMENT AND WEATHER MEASUREMENTS. [Internet] [Doctoral dissertation]. University of Oklahoma; 2020. [cited 2021 Feb 28]. Available from: http://hdl.handle.net/11244/325311.

Council of Science Editors:

Li Z. CYLINDRICAL POLARIMETRIC PHASED ARRAY RADAR DEMONSTRATOR: PERFORMANCE ASSESSMENT AND WEATHER MEASUREMENTS. [Doctoral Dissertation]. University of Oklahoma; 2020. Available from: http://hdl.handle.net/11244/325311

University of Oklahoma

11. Guan, Wei. SOME LOCAL AND GLOBAL ASPECTS OF MATHEMATICAL DIGITAL SIGNAL PROCESSING.

Degree: PhD, 2010, University of Oklahoma

URL: http://hdl.handle.net/11244/319237

We also study curve motions based on differential equations. Curve motion equations are classified into two types: adaptive equation and non-adapative equations. examples of both types of equations are studied and the global existences for these equations are proved based on integral estimates. Advisors/Committee Members: Zhu, Meijun (advisor).

Subjects/Keywords: Signal processing – Digital techniques – Mathematics

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Guan, W. (2010). SOME LOCAL AND GLOBAL ASPECTS OF MATHEMATICAL DIGITAL SIGNAL PROCESSING. (Doctoral Dissertation). University of Oklahoma. Retrieved from http://hdl.handle.net/11244/319237

Chicago Manual of Style (16^th Edition):

Guan, Wei. “SOME LOCAL AND GLOBAL ASPECTS OF MATHEMATICAL DIGITAL SIGNAL PROCESSING.” 2010. Doctoral Dissertation, University of Oklahoma. Accessed February 28, 2021. http://hdl.handle.net/11244/319237.

MLA Handbook (7^th Edition):

Guan, Wei. “SOME LOCAL AND GLOBAL ASPECTS OF MATHEMATICAL DIGITAL SIGNAL PROCESSING.” 2010. Web. 28 Feb 2021.

Vancouver:

Guan W. SOME LOCAL AND GLOBAL ASPECTS OF MATHEMATICAL DIGITAL SIGNAL PROCESSING. [Internet] [Doctoral dissertation]. University of Oklahoma; 2010. [cited 2021 Feb 28]. Available from: http://hdl.handle.net/11244/319237.

Council of Science Editors:

Guan W. SOME LOCAL AND GLOBAL ASPECTS OF MATHEMATICAL DIGITAL SIGNAL PROCESSING. [Doctoral Dissertation]. University of Oklahoma; 2010. Available from: http://hdl.handle.net/11244/319237

12. Hu, Junjun. Forecast Uncertainty Quantification using Monte Carlo, Polynomial Chaos Expansion and Unscented Transformation Methods.

Degree: PhD, 2015, University of Oklahoma

URL: http://hdl.handle.net/11244/21722

► In the context of prediction science, the sources of uncertainty can be from the uncertainties of the experiments, modeling, model inputs, numerical analysis, etc. This… (more)

▼ In the context of prediction science, the sources of uncertainty can be from the uncertainties of the experiments, modeling, model inputs, numerical analysis, etc. This study concentrates on quantifying the forecast uncertainty arising from the propagation of the uncertainties in the model inputs to the dynamical model. The uncertainties in the inputs include the randomness in (1) the initial conditions, (2) the forcing term (including both the external forcing and the boundary conditions), and (3) randomness in the parameters of the model. In order to quantify the uncertainties in the forecast, three uncertainty quantification (UQ) methods are studied, namely classical Monte Carlo (MC), polynomial chaos (PC) expansion and unscented transformation (UT). Using MC as the benchmark, two dynamical models are used in this study to examine the performance of PC expansion and UT. One is the low order (two components) spectral solution to the nonlinear advection equation, and the other one is the five-variable mixed-layer model which is used to describe the return flow event over the Gulf of Mexico during the cool season (between November and March) every year. The experimental results and the comparisons with MC have shown that both PC and UT can provide good estimates on the statistical information relating to the forecast, for example, the mean, variation (or standard deviation), covariance. The approach of UT utilizes a set of deterministically chosen sigma points to propagate the uncertainties contained in the inputs through the dynamical model. Only the first two moments of the forecast can be estimated by UT. Different from UT, the PC expansion represents the stochastic process in the form of a series expression (hence a surrogate approximation) in terms of the orthogonal polynomials whose type depends on the probability distribution of the random inputs. Ensemble forecast can be achieved by sampling the random variable used in the PC expansion. Furthermore, the histogram of the forecast can be constructed using the ensemble forecast, and then one can estimate the probability density function (PDF) of the forecast. What’s more, PC expansion can also give estimates on the statistics of higher order moments. The application of PC and UT in quantifying the forecast uncertainties in large scale system, the combination with data assimilation techniques and its real applications, and the ability to deal with nonGaussian distributions will be some of the topics for future study. Advisors/Committee Members: Lakshmivarahan, S. (advisor), Zhu, Meijun (committee member), Radhakrishnan, Sridhar (committee member), Kim, Changwook (committee member), Dhall, Sudarshan (committee member).

Subjects/Keywords: Uncertainty Quantification; Polynomial Chaos Expansion; Unscented Transformation

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Hu, J. (2015). Forecast Uncertainty Quantification using Monte Carlo, Polynomial Chaos Expansion and Unscented Transformation Methods. (Doctoral Dissertation). University of Oklahoma. Retrieved from http://hdl.handle.net/11244/21722

Chicago Manual of Style (16^th Edition):

Hu, Junjun. “Forecast Uncertainty Quantification using Monte Carlo, Polynomial Chaos Expansion and Unscented Transformation Methods.” 2015. Doctoral Dissertation, University of Oklahoma. Accessed February 28, 2021. http://hdl.handle.net/11244/21722.

MLA Handbook (7^th Edition):

Hu, Junjun. “Forecast Uncertainty Quantification using Monte Carlo, Polynomial Chaos Expansion and Unscented Transformation Methods.” 2015. Web. 28 Feb 2021.

Vancouver:

Hu J. Forecast Uncertainty Quantification using Monte Carlo, Polynomial Chaos Expansion and Unscented Transformation Methods. [Internet] [Doctoral dissertation]. University of Oklahoma; 2015. [cited 2021 Feb 28]. Available from: http://hdl.handle.net/11244/21722.

Council of Science Editors:

Hu J. Forecast Uncertainty Quantification using Monte Carlo, Polynomial Chaos Expansion and Unscented Transformation Methods. [Doctoral Dissertation]. University of Oklahoma; 2015. Available from: http://hdl.handle.net/11244/21722

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