Browsing PhD Dissertations - DO NOT EDIT by Title
Now showing items 106-125 of 133
-
Sequential Frameworks For Statistics-based Value Function Representation In Approximate Dynamic Programming
(Industrial & Manufacturing Engineering, 2008-09-17)Dynamic programming (DP) was derived by Bellman in 1957 as a mathematical programming method to solve multistage decision problems. The DP concept has great potential, but it only can solve small problems exactly under ... -
SHAPE-BASED TIME SERIES MINING FOR PROCESS MONITORING AND ANOMALY DETECTION
(2021-09-02)Due to the rapid development of computing and sensing technology, Internet of Things (IoT)-enabled monitoring plays a crucial role for people suffering from cardiac problems. It is important to detect the abnormal ECG ... -
Software Capacity Planning: A Methodology For A Portfolio Of High Technology Product Development Projects
(Industrial & Manufacturing Engineering, 2009-09-16)High technology product development projects make extensive use of engineering software during the product development process. The suite of engineering software tools deployed during product development represents a ... -
Some New Results for Equilibria of N-Person Games
(2017-11-28)In this dissertation, we present four journal articles in the area of game theory. In the first article, we define a generalized equilibrium for n−person normal form games. We prove that the Nash equilibrium and the mixed ... -
Some New Results on Statistical Information and Evidence
(2020-05-21)This dissertation represents an attempt to relate some fundamental statistical problems using the notions of information, entropy, and evidence. -
Sparse Representation and Learning for Discriminative EEG Source Imaging
(2018-05-07)As a direct measurement modality of neural electrical firing patterns, electroencephalogram (EEG) has a much higher temporal resolution up to millisecond compared to positron emission topography (PET) and functional magnetic ... -
Stationary And Non-stationary Time Series Prediction Using State Space Model And Pattern-based Approach
(Industrial & Manufacturing Engineering, 2014)The motion-adaptive radiotherapy techniques are promising to deliver ablative radiation doses to tumor with minimal normal tissue exposure by accounting for real-time tumor movement. However, a major challenge of successful ... -
STATISTICAL META-MODEL FOR AIR TRAFFIC FLOW AND CAPACITY MANAGEMENT BASED ON AIRSPACE OPTIMIZATION-SIMULATION: THE CONTINUOUS CHALLENGE OF THE HUB OF THE AMERICA CONGESTION
(2018-08-31)Panama is only Country on the Americas with a Canal and the hub of Logistics that include the interaction of the Atlantic and the Pacific in a less than a day. This Logistics growth after the Panama Canal Expansion resulted ... -
Statistical Modeling Approach To Airline Revenue Management With Overbooking
(Industrial & Manufacturing Engineering, 2007-08-23)A Revenue Management (RM) method in the airline industry plays a very important role in maximizing revenue under various uncertainty issues, like customer demand, the number of seats to be maintained in inventory, the ... -
Statistics-based Approaches To Stochastic Optimal Control Problems
(Industrial & Manufacturing Engineering, 2007-08-23)This dissertation develops practical approaches to stochastic optimal control problems in the absence of linear system transition functions, quadratic cost functions, and/or Gaussian random disturbances. In such type of ... -
Supervised Sparse Learning with Applications in Bioinformatics
(2018-08-23)In machine learning and mathematical optimization, sparse learning is the use of mathematical norms such as L1-norm, group norm and L21-norm in order to seek a trade-off between the goodness-of-fit measure and sparsity of ... -
System And Method For The Pooling Of Sterile Product
(Industrial & Manufacturing Engineering, 2007-10-08)This dissertation defines an automated system and method for removing the tops from individual sealed bottles and pooling the small volumes of liquid contained in each bottle together in a collection container while ... -
A Systems Thinking Approach To Apply Water Sustainability In Hospitals
(Industrial & Manufacturing Engineering, 2014)One of the most critical challenges the world is facing is to ensure everyone has access to an adequate and quality supply of water. As the population increases, the demand for water rises. Water needs to be sustained for ... -
TEENAGE CYCLISTS’ PERCEPTION TOWARDS AUTONOMOUS VEHICLES AND ITS ASSOCIATED TRAFFIC INFRASTRUCTURES
(2021-05-03)Background: Cycling is a cost-effective means of transportation. Many teenagers cycle to go to schools and ride in neighborhoods. Cyclists are more vulnerable to injuries and fatalities than motor vehicle drivers. With the ... -
The Art Of Microchannel Molding In Microscope Glass Slides
(Industrial & Manufacturing Engineering, 11-28-12)This research is an effort to develop a new process by combining engineering principles with the history of glass art molding to develop clear micro-level test features in glass, for bio-medical and drug experiments dealing ... -
Time Depedent Queuing Models Of The National Airspace
(Industrial & Manufacturing Engineering, 2011-07-14)Air transportation in the US system has dramatically changed in the past few decades. The National Airspace System (NAS) has increasingly become congested. A high volume of air traffic demand is one of the major challenges ... -
TK-MARS: An Efficient Approach for Deterministic and Stochastic Black-Box Optimization
(2018-08-23)Surrogate optimization approaches for black-box functions focus on approximating the underlying function, using metamodeling techniques, in order to optimize computationally expensive simulation models. Historically, ... -
Topics in Optimization for Sustainable Energy Planning
(2023-08-24)**Please note that the full text is embargoed until 8/1/2025** ABSTRACT: Due to the current trend of rising energy demand, finding alternate energy sources is vital. Many cities consider renewable energy as a component of ... -
Towards Sustainable Additive Manufacturing: Assessment of Cost, Greenhouse Gas Emission, and Recyclability
(2023-08-11)Additive Manufacturing technologies fabricate 3D objects layer by layer following a predesigned CAD model. Owing to the unique layer-wise production method, additive manufacturing offers competitive advantages in comparison ... -
Two-stage Stochastic Programming In Adaptive Interdisciplinary Pain Management
Chronic pain is a global health problem. About 100 million adult Americans suffering from chronic pain, which costs $560 - $635 billion per year. The Eugene McDermott Center for Pain Management at the University of Texas ...