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You searched for +publisher:"Colorado State University" +contributor:("Siegel, Howard Jay"). Showing records 1 – 7 of 7 total matches.

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Colorado State University

1. Maxwell, Paul. Robust resource allocation heuristics for military village search missions.

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

 On the modern battlefield, cordon and search missions (a.k.a. village searches) are conducted daily. Creating resource allocations that assign different types of search teams (e.g.,… (more)

Subjects/Keywords: robustness; resource allocation; village search; dynamic; petri net

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APA (6th Edition):

Maxwell, P. (2012). Robust resource allocation heuristics for military village search missions. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/67942

Chicago Manual of Style (16th Edition):

Maxwell, Paul. “Robust resource allocation heuristics for military village search missions.” 2012. Doctoral Dissertation, Colorado State University. Accessed January 28, 2021. http://hdl.handle.net/10217/67942.

MLA Handbook (7th Edition):

Maxwell, Paul. “Robust resource allocation heuristics for military village search missions.” 2012. Web. 28 Jan 2021.

Vancouver:

Maxwell P. Robust resource allocation heuristics for military village search missions. [Internet] [Doctoral dissertation]. Colorado State University; 2012. [cited 2021 Jan 28]. Available from: http://hdl.handle.net/10217/67942.

Council of Science Editors:

Maxwell P. Robust resource allocation heuristics for military village search missions. [Doctoral Dissertation]. Colorado State University; 2012. Available from: http://hdl.handle.net/10217/67942


Colorado State University

2. Eberhardt, Gerald M. Design and implementation of a compact highly efficient 472kHz radio frequency generator for electrosurgery.

Degree: MS(M.S.), Electrical and Computer Engineering, 2011, Colorado State University

 This thesis explores the utilization of modern design practices and advance technologies to reduce the size of traditional 472kHz radio frequency generators used for electrosurgery.… (more)

Subjects/Keywords: 472kHz; generator; electrosurgery

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APA (6th Edition):

Eberhardt, G. M. (2011). Design and implementation of a compact highly efficient 472kHz radio frequency generator for electrosurgery. (Masters Thesis). Colorado State University. Retrieved from http://hdl.handle.net/10217/51789

Chicago Manual of Style (16th Edition):

Eberhardt, Gerald M. “Design and implementation of a compact highly efficient 472kHz radio frequency generator for electrosurgery.” 2011. Masters Thesis, Colorado State University. Accessed January 28, 2021. http://hdl.handle.net/10217/51789.

MLA Handbook (7th Edition):

Eberhardt, Gerald M. “Design and implementation of a compact highly efficient 472kHz radio frequency generator for electrosurgery.” 2011. Web. 28 Jan 2021.

Vancouver:

Eberhardt GM. Design and implementation of a compact highly efficient 472kHz radio frequency generator for electrosurgery. [Internet] [Masters thesis]. Colorado State University; 2011. [cited 2021 Jan 28]. Available from: http://hdl.handle.net/10217/51789.

Council of Science Editors:

Eberhardt GM. Design and implementation of a compact highly efficient 472kHz radio frequency generator for electrosurgery. [Masters Thesis]. Colorado State University; 2011. Available from: http://hdl.handle.net/10217/51789


Colorado State University

3. Hansen, Timothy M. Resource allocation optimization in the smart grid and high-performance computing.

Degree: PhD, Electrical and Computer Engineering, 2015, Colorado State University

 This dissertation examines resource allocation optimization in the areas of Smart Grid and high-performance computing (HPC). The primary focus of this work is resource allocation… (more)

Subjects/Keywords: high-performance computing; resource allocation; cyber-physical systems; smart grid; optimization

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APA (6th Edition):

Hansen, T. M. (2015). Resource allocation optimization in the smart grid and high-performance computing. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/167096

Chicago Manual of Style (16th Edition):

Hansen, Timothy M. “Resource allocation optimization in the smart grid and high-performance computing.” 2015. Doctoral Dissertation, Colorado State University. Accessed January 28, 2021. http://hdl.handle.net/10217/167096.

MLA Handbook (7th Edition):

Hansen, Timothy M. “Resource allocation optimization in the smart grid and high-performance computing.” 2015. Web. 28 Jan 2021.

Vancouver:

Hansen TM. Resource allocation optimization in the smart grid and high-performance computing. [Internet] [Doctoral dissertation]. Colorado State University; 2015. [cited 2021 Jan 28]. Available from: http://hdl.handle.net/10217/167096.

Council of Science Editors:

Hansen TM. Resource allocation optimization in the smart grid and high-performance computing. [Doctoral Dissertation]. Colorado State University; 2015. Available from: http://hdl.handle.net/10217/167096

4. Hogade, Ninad. Minimizing energy costs for geographically distributed heterogeneous data centers.

Degree: MS(M.S.), Electrical and Computer Engineering, 2018, Colorado State University

 The recent proliferation and associated high electricity costs of distributed data centers have motivated researchers to study energy-cost minimization at the geo-distributed level. The development… (more)

Subjects/Keywords: memory interference; peak shaving; geo-distributed data centers; workload management; net metering

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APA (6th Edition):

Hogade, N. (2018). Minimizing energy costs for geographically distributed heterogeneous data centers. (Masters Thesis). Colorado State University. Retrieved from http://hdl.handle.net/10217/191286

Chicago Manual of Style (16th Edition):

Hogade, Ninad. “Minimizing energy costs for geographically distributed heterogeneous data centers.” 2018. Masters Thesis, Colorado State University. Accessed January 28, 2021. http://hdl.handle.net/10217/191286.

MLA Handbook (7th Edition):

Hogade, Ninad. “Minimizing energy costs for geographically distributed heterogeneous data centers.” 2018. Web. 28 Jan 2021.

Vancouver:

Hogade N. Minimizing energy costs for geographically distributed heterogeneous data centers. [Internet] [Masters thesis]. Colorado State University; 2018. [cited 2021 Jan 28]. Available from: http://hdl.handle.net/10217/191286.

Council of Science Editors:

Hogade N. Minimizing energy costs for geographically distributed heterogeneous data centers. [Masters Thesis]. Colorado State University; 2018. Available from: http://hdl.handle.net/10217/191286

5. Tarplee, Kyle M. Highly scalable algorithms for scheduling tasks and provisioning machines on heterogeneous computing systems.

Degree: PhD, Electrical and Computer Engineering, 2015, Colorado State University

 As high performance computing systems increase in size, new and more efficient algorithms are needed to schedule work on the machines, understand the performance trade-offs… (more)

Subjects/Keywords: high performance computing; resource provisioning; stochastic programming; linear programming; heterogeneous computing; scheduling

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APA (6th Edition):

Tarplee, K. M. (2015). Highly scalable algorithms for scheduling tasks and provisioning machines on heterogeneous computing systems. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/167055

Chicago Manual of Style (16th Edition):

Tarplee, Kyle M. “Highly scalable algorithms for scheduling tasks and provisioning machines on heterogeneous computing systems.” 2015. Doctoral Dissertation, Colorado State University. Accessed January 28, 2021. http://hdl.handle.net/10217/167055.

MLA Handbook (7th Edition):

Tarplee, Kyle M. “Highly scalable algorithms for scheduling tasks and provisioning machines on heterogeneous computing systems.” 2015. Web. 28 Jan 2021.

Vancouver:

Tarplee KM. Highly scalable algorithms for scheduling tasks and provisioning machines on heterogeneous computing systems. [Internet] [Doctoral dissertation]. Colorado State University; 2015. [cited 2021 Jan 28]. Available from: http://hdl.handle.net/10217/167055.

Council of Science Editors:

Tarplee KM. Highly scalable algorithms for scheduling tasks and provisioning machines on heterogeneous computing systems. [Doctoral Dissertation]. Colorado State University; 2015. Available from: http://hdl.handle.net/10217/167055


Colorado State University

6. Dewri, Rinku. Multi-criteria analysis in modern information management.

Degree: PhD, Computer Science, 2010, Colorado State University

 The past few years have witnessed an overwhelming amount of research in the field of information security and privacy. An encouraging outcome of this research… (more)

Subjects/Keywords: Information management; data broadcasting; multi-objective optimization; information security and privacy; Computer networks  – Security measures; Computer security; Multiple criteria decision making

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APA (6th Edition):

Dewri, R. (2010). Multi-criteria analysis in modern information management. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/40284

Chicago Manual of Style (16th Edition):

Dewri, Rinku. “Multi-criteria analysis in modern information management.” 2010. Doctoral Dissertation, Colorado State University. Accessed January 28, 2021. http://hdl.handle.net/10217/40284.

MLA Handbook (7th Edition):

Dewri, Rinku. “Multi-criteria analysis in modern information management.” 2010. Web. 28 Jan 2021.

Vancouver:

Dewri R. Multi-criteria analysis in modern information management. [Internet] [Doctoral dissertation]. Colorado State University; 2010. [cited 2021 Jan 28]. Available from: http://hdl.handle.net/10217/40284.

Council of Science Editors:

Dewri R. Multi-criteria analysis in modern information management. [Doctoral Dissertation]. Colorado State University; 2010. Available from: http://hdl.handle.net/10217/40284


Colorado State University

7. Briceno Guerrero, Luis Diego. Resource allocation for heterogeneous computing systems: performance criteria, robustness measures, optimization heuristics, and properties.

Degree: PhD, Electrical and Computer Engineering, 2010, Colorado State University

 Heterogeneous computing (HC) is the coordinated use of different types of machines, networks, and interfaces to maximize the combined performance and/or cost effectiveness of the… (more)

Subjects/Keywords: Computing algorithms; heterogeneous computing; robustness; resource allocation; heuristics; Heterogeneous computing; Parallel processing (Electronic computers); Heuristic programming

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

APA (6th Edition):

Briceno Guerrero, L. D. (2010). Resource allocation for heterogeneous computing systems: performance criteria, robustness measures, optimization heuristics, and properties. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/40277

Chicago Manual of Style (16th Edition):

Briceno Guerrero, Luis Diego. “Resource allocation for heterogeneous computing systems: performance criteria, robustness measures, optimization heuristics, and properties.” 2010. Doctoral Dissertation, Colorado State University. Accessed January 28, 2021. http://hdl.handle.net/10217/40277.

MLA Handbook (7th Edition):

Briceno Guerrero, Luis Diego. “Resource allocation for heterogeneous computing systems: performance criteria, robustness measures, optimization heuristics, and properties.” 2010. Web. 28 Jan 2021.

Vancouver:

Briceno Guerrero LD. Resource allocation for heterogeneous computing systems: performance criteria, robustness measures, optimization heuristics, and properties. [Internet] [Doctoral dissertation]. Colorado State University; 2010. [cited 2021 Jan 28]. Available from: http://hdl.handle.net/10217/40277.

Council of Science Editors:

Briceno Guerrero LD. Resource allocation for heterogeneous computing systems: performance criteria, robustness measures, optimization heuristics, and properties. [Doctoral Dissertation]. Colorado State University; 2010. Available from: http://hdl.handle.net/10217/40277

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