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Level: masters

You searched for subject:(source identification). Showing records 1 – 11 of 11 total matches.

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University of Manitoba

1. Nasr Esfahani, Ali. Detection and classification of partial discharge sources under variable frequency and air pressure.

Degree: Electrical and Computer Engineering, 2018, University of Manitoba

 With the development of electrical apparatus in more-electric aircraft (MEA), demand for higher electric power is increasing rapidly. In turn, this requires a higher voltage… (more)

Subjects/Keywords: Partial discharge source identification

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APA (6th Edition):

Nasr Esfahani, A. (2018). Detection and classification of partial discharge sources under variable frequency and air pressure. (Masters Thesis). University of Manitoba. Retrieved from http://hdl.handle.net/1993/33747

Chicago Manual of Style (16th Edition):

Nasr Esfahani, Ali. “Detection and classification of partial discharge sources under variable frequency and air pressure.” 2018. Masters Thesis, University of Manitoba. Accessed December 08, 2019. http://hdl.handle.net/1993/33747.

MLA Handbook (7th Edition):

Nasr Esfahani, Ali. “Detection and classification of partial discharge sources under variable frequency and air pressure.” 2018. Web. 08 Dec 2019.

Vancouver:

Nasr Esfahani A. Detection and classification of partial discharge sources under variable frequency and air pressure. [Internet] [Masters thesis]. University of Manitoba; 2018. [cited 2019 Dec 08]. Available from: http://hdl.handle.net/1993/33747.

Council of Science Editors:

Nasr Esfahani A. Detection and classification of partial discharge sources under variable frequency and air pressure. [Masters Thesis]. University of Manitoba; 2018. Available from: http://hdl.handle.net/1993/33747


Louisiana State University

2. Tong, Yangbin. Development of watershed-based modeling approach to pollution source identification.

Degree: MSCE, Civil and Environmental Engineering, 2013, Louisiana State University

Identification of unknown pollution sources is essential to environmental protection and emergency response. A review of recent publications in source identification revealed that there are… (more)

Subjects/Keywords: Source Identification; Moment; VART model; Time of Concentration

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APA (6th Edition):

Tong, Y. (2013). Development of watershed-based modeling approach to pollution source identification. (Masters Thesis). Louisiana State University. Retrieved from etd-07082013-160959 ; https://digitalcommons.lsu.edu/gradschool_theses/1830

Chicago Manual of Style (16th Edition):

Tong, Yangbin. “Development of watershed-based modeling approach to pollution source identification.” 2013. Masters Thesis, Louisiana State University. Accessed December 08, 2019. etd-07082013-160959 ; https://digitalcommons.lsu.edu/gradschool_theses/1830.

MLA Handbook (7th Edition):

Tong, Yangbin. “Development of watershed-based modeling approach to pollution source identification.” 2013. Web. 08 Dec 2019.

Vancouver:

Tong Y. Development of watershed-based modeling approach to pollution source identification. [Internet] [Masters thesis]. Louisiana State University; 2013. [cited 2019 Dec 08]. Available from: etd-07082013-160959 ; https://digitalcommons.lsu.edu/gradschool_theses/1830.

Council of Science Editors:

Tong Y. Development of watershed-based modeling approach to pollution source identification. [Masters Thesis]. Louisiana State University; 2013. Available from: etd-07082013-160959 ; https://digitalcommons.lsu.edu/gradschool_theses/1830


Virginia Tech

3. White, Parker Douglas. Constrained Clustering for Frequency Hopping Spread Spectrum Signal Separation.

Degree: MS, Electrical Engineering, 2019, Virginia Tech

 The expansion of technology in areas such as smart homes and appliances, personal devices, smart vehicles, and many others, leads to more and more devices… (more)

Subjects/Keywords: FHSS; signal separation; constrained clustering; source identification; signal detection

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APA (6th Edition):

White, P. D. (2019). Constrained Clustering for Frequency Hopping Spread Spectrum Signal Separation. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/93726

Chicago Manual of Style (16th Edition):

White, Parker Douglas. “Constrained Clustering for Frequency Hopping Spread Spectrum Signal Separation.” 2019. Masters Thesis, Virginia Tech. Accessed December 08, 2019. http://hdl.handle.net/10919/93726.

MLA Handbook (7th Edition):

White, Parker Douglas. “Constrained Clustering for Frequency Hopping Spread Spectrum Signal Separation.” 2019. Web. 08 Dec 2019.

Vancouver:

White PD. Constrained Clustering for Frequency Hopping Spread Spectrum Signal Separation. [Internet] [Masters thesis]. Virginia Tech; 2019. [cited 2019 Dec 08]. Available from: http://hdl.handle.net/10919/93726.

Council of Science Editors:

White PD. Constrained Clustering for Frequency Hopping Spread Spectrum Signal Separation. [Masters Thesis]. Virginia Tech; 2019. Available from: http://hdl.handle.net/10919/93726


University of Colorado

4. Jin, Qi. Contaminant Source Identification in Building Hvac Systems Using Adjoint Probability Method.

Degree: MS, Civil, Environmental & Architectural Engineering, 2015, University of Colorado

  Although high efficiency filter is one critical component in the Air Handler Unit (AHU), HVAC system is potential contaminant emission source. Released contaminants can… (more)

Subjects/Keywords: adjoint probability method; CONTAM; contaminant source identification; HVAC systems; indoor air quality; Civil Engineering

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APA (6th Edition):

Jin, Q. (2015). Contaminant Source Identification in Building Hvac Systems Using Adjoint Probability Method. (Masters Thesis). University of Colorado. Retrieved from https://scholar.colorado.edu/cven_gradetds/185

Chicago Manual of Style (16th Edition):

Jin, Qi. “Contaminant Source Identification in Building Hvac Systems Using Adjoint Probability Method.” 2015. Masters Thesis, University of Colorado. Accessed December 08, 2019. https://scholar.colorado.edu/cven_gradetds/185.

MLA Handbook (7th Edition):

Jin, Qi. “Contaminant Source Identification in Building Hvac Systems Using Adjoint Probability Method.” 2015. Web. 08 Dec 2019.

Vancouver:

Jin Q. Contaminant Source Identification in Building Hvac Systems Using Adjoint Probability Method. [Internet] [Masters thesis]. University of Colorado; 2015. [cited 2019 Dec 08]. Available from: https://scholar.colorado.edu/cven_gradetds/185.

Council of Science Editors:

Jin Q. Contaminant Source Identification in Building Hvac Systems Using Adjoint Probability Method. [Masters Thesis]. University of Colorado; 2015. Available from: https://scholar.colorado.edu/cven_gradetds/185


University of Central Florida

5. Al Rumaithi, Ayad. Characterization of Dynamic Structures Using Parametric and Non-parametric System Identification Methods.

Degree: 2014, University of Central Florida

 The effects of soil-foundation-structure (SFS) interaction and extreme loading on structural behaviors are important issues in structural dynamics. System identification is an important technique to… (more)

Subjects/Keywords: System identification; modal analysis; blind source seperation; Civil Engineering; Engineering; Geotechnical Engineering; Structural Engineering

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APA (6th Edition):

Al Rumaithi, A. (2014). Characterization of Dynamic Structures Using Parametric and Non-parametric System Identification Methods. (Masters Thesis). University of Central Florida. Retrieved from https://stars.library.ucf.edu/etd/1325

Chicago Manual of Style (16th Edition):

Al Rumaithi, Ayad. “Characterization of Dynamic Structures Using Parametric and Non-parametric System Identification Methods.” 2014. Masters Thesis, University of Central Florida. Accessed December 08, 2019. https://stars.library.ucf.edu/etd/1325.

MLA Handbook (7th Edition):

Al Rumaithi, Ayad. “Characterization of Dynamic Structures Using Parametric and Non-parametric System Identification Methods.” 2014. Web. 08 Dec 2019.

Vancouver:

Al Rumaithi A. Characterization of Dynamic Structures Using Parametric and Non-parametric System Identification Methods. [Internet] [Masters thesis]. University of Central Florida; 2014. [cited 2019 Dec 08]. Available from: https://stars.library.ucf.edu/etd/1325.

Council of Science Editors:

Al Rumaithi A. Characterization of Dynamic Structures Using Parametric and Non-parametric System Identification Methods. [Masters Thesis]. University of Central Florida; 2014. Available from: https://stars.library.ucf.edu/etd/1325


Florida Atlantic University

6. Rocher, Yvel. The correlations between OSTDS sites and the pollution of the surface water bodies in Broward County.

Degree: MS, 2014, Florida Atlantic University

Summary: Sampling data of many surface water bodies in Broward County tend to reveal abnormal levels of bacterial concentrations for total coliform, Escherichia coli and… (more)

Subjects/Keywords: Bacterial pollution of water; Groundwater  – Pollution; Pathogenic microorganisms  – Detection; Sewage disposal; Sewerage; Water  – Pollution  – Point source identification; Water quality  – Management

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APA (6th Edition):

Rocher, Y. (2014). The correlations between OSTDS sites and the pollution of the surface water bodies in Broward County. (Masters Thesis). Florida Atlantic University. Retrieved from http://purl.flvc.org/fau/fd/FA00004324 ; (URL) http://purl.flvc.org/fau/fd/FA00004324

Chicago Manual of Style (16th Edition):

Rocher, Yvel. “The correlations between OSTDS sites and the pollution of the surface water bodies in Broward County.” 2014. Masters Thesis, Florida Atlantic University. Accessed December 08, 2019. http://purl.flvc.org/fau/fd/FA00004324 ; (URL) http://purl.flvc.org/fau/fd/FA00004324.

MLA Handbook (7th Edition):

Rocher, Yvel. “The correlations between OSTDS sites and the pollution of the surface water bodies in Broward County.” 2014. Web. 08 Dec 2019.

Vancouver:

Rocher Y. The correlations between OSTDS sites and the pollution of the surface water bodies in Broward County. [Internet] [Masters thesis]. Florida Atlantic University; 2014. [cited 2019 Dec 08]. Available from: http://purl.flvc.org/fau/fd/FA00004324 ; (URL) http://purl.flvc.org/fau/fd/FA00004324.

Council of Science Editors:

Rocher Y. The correlations between OSTDS sites and the pollution of the surface water bodies in Broward County. [Masters Thesis]. Florida Atlantic University; 2014. Available from: http://purl.flvc.org/fau/fd/FA00004324 ; (URL) http://purl.flvc.org/fau/fd/FA00004324


Michigan State University

7. Kumar, Lekha Satheesh. Development of a rapid method for a human pollution source tracking marker using enterococcus surface protein (esp) in E. faecium.

Degree: MS, Department of Fisheries and Wildlife, 2007, Michigan State University

Subjects/Keywords: Water – Microbiology; Pathogenic microorganisms – Detection; Water – Pollution – Point source identification

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APA (6th Edition):

Kumar, L. S. (2007). Development of a rapid method for a human pollution source tracking marker using enterococcus surface protein (esp) in E. faecium. (Masters Thesis). Michigan State University. Retrieved from http://etd.lib.msu.edu/islandora/object/etd:38720

Chicago Manual of Style (16th Edition):

Kumar, Lekha Satheesh. “Development of a rapid method for a human pollution source tracking marker using enterococcus surface protein (esp) in E. faecium.” 2007. Masters Thesis, Michigan State University. Accessed December 08, 2019. http://etd.lib.msu.edu/islandora/object/etd:38720.

MLA Handbook (7th Edition):

Kumar, Lekha Satheesh. “Development of a rapid method for a human pollution source tracking marker using enterococcus surface protein (esp) in E. faecium.” 2007. Web. 08 Dec 2019.

Vancouver:

Kumar LS. Development of a rapid method for a human pollution source tracking marker using enterococcus surface protein (esp) in E. faecium. [Internet] [Masters thesis]. Michigan State University; 2007. [cited 2019 Dec 08]. Available from: http://etd.lib.msu.edu/islandora/object/etd:38720.

Council of Science Editors:

Kumar LS. Development of a rapid method for a human pollution source tracking marker using enterococcus surface protein (esp) in E. faecium. [Masters Thesis]. Michigan State University; 2007. Available from: http://etd.lib.msu.edu/islandora/object/etd:38720


Ohio University

8. Wright, Sarah E. Sample Frequency, Duration, and Spatial Representation Considerations of Great Lakes Beach Sanitary Survey Data at Three Beaches in Racine, Wisconsin.

Degree: MS, Environmental Studies (Voinovich), 2014, Ohio University

 Great Lakes beaches have a high number of beach action days (advisory or closure of beach) each swimming season, many of which are inaccurate. Sampling… (more)

Subjects/Keywords: Environmental Health; Environmental Management; Environmental Science; Environmental Studies; Water Resource Management; Great Lakes beaches; beach sanitary survey data analysis; E coli; beach pollutant source identification; microbial pollution; Virtual Beach; sampling design; sample frequency; sample duration; spatial representation; freshwater pollution

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APA (6th Edition):

Wright, S. E. (2014). Sample Frequency, Duration, and Spatial Representation Considerations of Great Lakes Beach Sanitary Survey Data at Three Beaches in Racine, Wisconsin. (Masters Thesis). Ohio University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1416922217

Chicago Manual of Style (16th Edition):

Wright, Sarah E. “Sample Frequency, Duration, and Spatial Representation Considerations of Great Lakes Beach Sanitary Survey Data at Three Beaches in Racine, Wisconsin.” 2014. Masters Thesis, Ohio University. Accessed December 08, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1416922217.

MLA Handbook (7th Edition):

Wright, Sarah E. “Sample Frequency, Duration, and Spatial Representation Considerations of Great Lakes Beach Sanitary Survey Data at Three Beaches in Racine, Wisconsin.” 2014. Web. 08 Dec 2019.

Vancouver:

Wright SE. Sample Frequency, Duration, and Spatial Representation Considerations of Great Lakes Beach Sanitary Survey Data at Three Beaches in Racine, Wisconsin. [Internet] [Masters thesis]. Ohio University; 2014. [cited 2019 Dec 08]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1416922217.

Council of Science Editors:

Wright SE. Sample Frequency, Duration, and Spatial Representation Considerations of Great Lakes Beach Sanitary Survey Data at Three Beaches in Racine, Wisconsin. [Masters Thesis]. Ohio University; 2014. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1416922217

9. Wilco, W.C. Authorship Identification and Verification of JavaScript Source Code: An Evaluation of Techniques:.

Degree: 2014, Delft University of Technology

 The increasing number of criminals that exploit the speed and anonymity of the Web has become of increasing concern. Little effort has been spent to… (more)

Subjects/Keywords: authorship analysis; authorship identification; authorhip verification; source code; n-gram; JavaScript; minification

…7 2.2 Source code authorship identification . . . . . . . . . . . . . . . . . . . . . 15… …source code authorship identification is different from identifying code clones in software… …literature considered authorship identification of source code, but no studies have been found that… …identification of source code and we investigate how this task has been approached in literature… …source code. 2.1 The authorship analysis process In general, authorship identification… 

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APA (6th Edition):

Wilco, W. C. (2014). Authorship Identification and Verification of JavaScript Source Code: An Evaluation of Techniques:. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:f6aa2f88-e657-4fef-b684-188a212c71ad

Chicago Manual of Style (16th Edition):

Wilco, W C. “Authorship Identification and Verification of JavaScript Source Code: An Evaluation of Techniques:.” 2014. Masters Thesis, Delft University of Technology. Accessed December 08, 2019. http://resolver.tudelft.nl/uuid:f6aa2f88-e657-4fef-b684-188a212c71ad.

MLA Handbook (7th Edition):

Wilco, W C. “Authorship Identification and Verification of JavaScript Source Code: An Evaluation of Techniques:.” 2014. Web. 08 Dec 2019.

Vancouver:

Wilco WC. Authorship Identification and Verification of JavaScript Source Code: An Evaluation of Techniques:. [Internet] [Masters thesis]. Delft University of Technology; 2014. [cited 2019 Dec 08]. Available from: http://resolver.tudelft.nl/uuid:f6aa2f88-e657-4fef-b684-188a212c71ad.

Council of Science Editors:

Wilco WC. Authorship Identification and Verification of JavaScript Source Code: An Evaluation of Techniques:. [Masters Thesis]. Delft University of Technology; 2014. Available from: http://resolver.tudelft.nl/uuid:f6aa2f88-e657-4fef-b684-188a212c71ad


Florida Atlantic University

10. Tarnowski, Marie E. The effects of on-site sewage treatment and disposal systems on the relief canals of Indian River County, the St. Sebastian River, and the central Indian River lagoon.

Degree: MS, 2014, Florida Atlantic University

Summary: Effluent from on-site sewage treatment and disposal systems (OSTDS) is generally known to impact groundwaters and surface waters with nitrogen (N) and phosphorus (P)… (more)

Subjects/Keywords: Groundwater  – Pollution; Indian River (Lagoon)  – Environmental aspects; Indian River County (Fla.)  – Environmental aspects; Nutrient pollution of water; Saint Sebastian River (Fla.)  – Environmental aspects; Sewage disposal; Sewerage; Water  – Pollution  – Point source identification; Water quality  – Management

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APA (6th Edition):

Tarnowski, M. E. (2014). The effects of on-site sewage treatment and disposal systems on the relief canals of Indian River County, the St. Sebastian River, and the central Indian River lagoon. (Masters Thesis). Florida Atlantic University. Retrieved from http://purl.flvc.org/fau/fd/FA00004335 ; (URL) http://purl.flvc.org/fau/fd/FA00004335

Chicago Manual of Style (16th Edition):

Tarnowski, Marie E. “The effects of on-site sewage treatment and disposal systems on the relief canals of Indian River County, the St. Sebastian River, and the central Indian River lagoon.” 2014. Masters Thesis, Florida Atlantic University. Accessed December 08, 2019. http://purl.flvc.org/fau/fd/FA00004335 ; (URL) http://purl.flvc.org/fau/fd/FA00004335.

MLA Handbook (7th Edition):

Tarnowski, Marie E. “The effects of on-site sewage treatment and disposal systems on the relief canals of Indian River County, the St. Sebastian River, and the central Indian River lagoon.” 2014. Web. 08 Dec 2019.

Vancouver:

Tarnowski ME. The effects of on-site sewage treatment and disposal systems on the relief canals of Indian River County, the St. Sebastian River, and the central Indian River lagoon. [Internet] [Masters thesis]. Florida Atlantic University; 2014. [cited 2019 Dec 08]. Available from: http://purl.flvc.org/fau/fd/FA00004335 ; (URL) http://purl.flvc.org/fau/fd/FA00004335.

Council of Science Editors:

Tarnowski ME. The effects of on-site sewage treatment and disposal systems on the relief canals of Indian River County, the St. Sebastian River, and the central Indian River lagoon. [Masters Thesis]. Florida Atlantic University; 2014. Available from: http://purl.flvc.org/fau/fd/FA00004335 ; (URL) http://purl.flvc.org/fau/fd/FA00004335


Michigan State University

11. Jenkins, Tracie Michelle. Technique for detecting sources of human pollution in water using an Enterococcus biomarker.

Degree: MS, Department of Crop and Soil Sciences, 2005, Michigan State University

Subjects/Keywords: Water – Pollution – Michigan; Water – Pollution – Point source identification; Biochemical markers; Enterococcus – Michigan; Enterococcus faecalis – Michigan

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APA (6th Edition):

Jenkins, T. M. (2005). Technique for detecting sources of human pollution in water using an Enterococcus biomarker. (Masters Thesis). Michigan State University. Retrieved from http://etd.lib.msu.edu/islandora/object/etd:33872

Chicago Manual of Style (16th Edition):

Jenkins, Tracie Michelle. “Technique for detecting sources of human pollution in water using an Enterococcus biomarker.” 2005. Masters Thesis, Michigan State University. Accessed December 08, 2019. http://etd.lib.msu.edu/islandora/object/etd:33872.

MLA Handbook (7th Edition):

Jenkins, Tracie Michelle. “Technique for detecting sources of human pollution in water using an Enterococcus biomarker.” 2005. Web. 08 Dec 2019.

Vancouver:

Jenkins TM. Technique for detecting sources of human pollution in water using an Enterococcus biomarker. [Internet] [Masters thesis]. Michigan State University; 2005. [cited 2019 Dec 08]. Available from: http://etd.lib.msu.edu/islandora/object/etd:33872.

Council of Science Editors:

Jenkins TM. Technique for detecting sources of human pollution in water using an Enterococcus biomarker. [Masters Thesis]. Michigan State University; 2005. Available from: http://etd.lib.msu.edu/islandora/object/etd:33872

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