This Is AuburnElectronic Theses and Dissertations

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Now showing items 5452-5471 of 9089

Low Temperature Oxidation of Carbon Monoxide Using Microfibrous Entrapped Catalysts for Fire Escape Mask Application 

Karanjikar, Mukund (2005-08-15)
The prime reason for life casualties in fire is not the fire itself but poisoning caused by presence of carbon monoxide. It has been reported by American Medical Association that CO causes about 2100 deaths per year and ...

Low-Bandwidth Three Dimensional Mapping and Latency Reducing Model Prediction to Improve Teleoperation of Robotic Vehicles 

Woodall, William (2012-07-25)
This thesis uses novel three dimensional sensors like the Microsoft Kinect [1] and the Asus Xtion Pro Live [2] to generate three dimensional environments and use the recon- structed environment with a predictive model in ...

Low-Cost, Rapid, Sensitive Detection of Pathogenic Bacteria Using Phage-Based Magnetoelastic Biosensors 

Horikawa, Shin (2013-04-05)
As part of the ongoing efforts to secure food safety as well as to guard against possible bioterrorism, the role of pathogen detection technologies has become vital. However, conventional and standard detection methods, ...

Low-dose clozapine but not haloperidol attenuates ketamine-induced deficits under an incremental repeated acquisition procedure 

Shen, Andrew (2014-08-07)
Ketamine, like other N-methyl-D-aspartate (NMDA) receptor antagonists, causes both locomotor and cognitive dysfunction, decrements that may be mediated by distinct neurotransmitter systems. The present study was designed ...

A Low-Effort Animated Data Structure Visualization Creation System 

Barowski, Larry (2014-07-09)
Algorithm animations and high level data structure visualizations are not widely used, in part because producing them is difficult and time consuming. Algorithm animation and data structure visualization systems attempt ...

A Low-Power Analog Bus for On-Chip Digital Communication 

Taher, Farah (2013-07-10)
At present, performance and efficiency of a system-on-chip (SoC) design depends significantly on the on-chip global communication across various modules on the chip. On-chip communication is mostly implemented using a bus ...

Low-Power, High-Performance Frequency Dividers for a Phase-Locked Loop 

Daniels, Kyle (2020-03-16)
The world embraces the dawn of 5G implementation, and there is much work to be done. Companies, researchers, engineers, and many more posterities of people are pressing into high-frequency ranges, which presents a plethora ...

Low-Slip Force Friction Connections for Early Phase Energy Dissipation in Steel Structures 

Koch, Patrick (2015-11-10)
Previous research suggests adding early phase energy dissipation to structural steel systems can improve seismic performance. This can be achieved with a Low-slip Force Friction (LSFF) damper designed to activate prior to ...

Lower Bounds for Betti Numbers in Vietoris–Rips Complexes of Hypercubes 

Wang, Zichao (2024-04-29)
This thesis serves as a comprehensive introduction and elucidation of Henry Adams and Žiga Virk's seminal work \cite{Lower bounds} on new lower bounds on the Betti numbers for Vietoris–Rips complexes of hypercube graphs ...

Lower Extremity Biomechanics and Cognition: Implications for Noncontact Anterior Cruciate Ligament Injuries and Relevant, Practical Applications 

Holmes, Hillary (2022-07-27)  ETD File Embargoed
Cognition, like reaction time, visual processing, and decision-making, is associated with neuromuscular control and noncontact injuries, including noncontact anterior cruciate ligament (ACL) injuries. The persistent high ...

Lowest Price Guarantee Policies on Travel Websites: A Comprehensive Study on Policy Variety, Policy Costs, and Customer Perceived Value of Key Policy Features 

Xu, Hui (2016-07-29)
According to eMarketer (2015), approximately 60% of travel product purchases are made online, a figure that will continue to increase due to the widespread use of smartphones and the booming of mobile device booking. To ...

The Lure of Non-credit Studio Art Classes for Adult Learners 

Murray, Gina (2012-06-18)
The purpose of this study was to examine the motivation and satisfaction of adult learners who participated in non-credit studio art classes. Leisure motivation has been researched by educators, philosophers, psychologists, ...

Lying in Psychotherapy: Results of an Exploratory Study 

Martin, Leslie (2006-12-15)
Although the topic of lying in psychotherapy has been addressed in philosophical and theoretical discussion, it has received scant attention in research endeavors. In order to gather data on lying in psychotherapy, the ...

Lysophosphatidic Acid Induces Tau Hyperphosphorylation by Dysregulation of Kinase and Phosphatases 

Ramesh, Sindhu (2022-12-08)  ETD File Embargoed
The increased incidence of Alzheimer’s disease (AD) indicates an unmet medical need to develop novel molecular targets for therapeutic potential. Alzheimer’s disease is primarily classified into early-onset (genetic) and ...

MAC and Routing Protocols for Multi-Hop Cognitive Radio Networks 

Kondareddy, Yogesh (2008-08-15)
Cognitive radio networks that allow dynamic spectrum access are considered spectrally more efficient than networks using fixed spectral allocation. These networks are characterized by dynamically changing channel sets at ...

Machine Learning Algorithms for QSPR/QSAR Predictive Model Development Involving High-Dimensional Data 

Datta, Shounak (2019-03-21)
With advancements in fields such as computational chemistry, computer-aided molecular design and chemoinformatics, the scientific community has now become inundated with a very large set of molecular descriptors. The ...

A Machine Learning Approach to Transit Fraud Detection 

Claiborne, Jerry (2022-04-25)
This research is a collection of 3 papers on the use of machine learning methods to detect and classify transit media fraud using passenger transaction data. Academically, this work is an extension of machine learning ...

Machine Learning Approaches for Disease State Classification from Neuroimaging Data 

Wang, Peng (2013-05-01)
Automated recognition and classification of brain diseases are of tremendous value to society. Attention deficit hyperactivity disorder (ADHD) is a diverse spectrum disorder whose clinical diagnosis is based on behavior. ...

Machine Learning Based Approach Using Electromyography to Predict Joint Angles of the Knee 

Coker, Jordan (2020-07-13)
In order for an active exoskeleton and its user to achieve synchronous motion, the intended motion of the user needs to be detected with enough lead-time to process and move the exoskeleton accordingly. This must also ...

MACHINE LEARNING BASED MINERAL CHARACTERIZATION FROM PORE TO CORE SCALE AND IMPLICATIONS FOR GEOCHEMICAL REACTIVITY 

Asadi, Parisa (2022-11-29)
Geological formations have great potential for large-scale carbon sequestration to reduce the net rate of increase in atmospheric CO2. In these systems, CO2 is injected into formations and mineralized through geochemical ...