Browsing by Title
Now showing items 5466-5485 of 9103
A Low-Power Analog Bus for On-Chip Digital Communication
(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
(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
(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
(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
(2022-07-27)
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
(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
(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
(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
(2022-12-08)
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
(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
(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
(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
(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
(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
(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 ...
Machine learning-based additive manufacturing process optimization and quality prediction with photomicrography and tomography
(2023-08-03)
Process optimization and quality prediction are essential for promoting manufacturing quality and improving product reliability in Additive manufacturing (AM). However, the complex multi-physics processes of AM, involving ...
A Machine Vision and Sensing System for Braid Defect Detection, Diagnosis and Prevention During Manufacture
(2007-12-15)
The mechanical properties of braids are often quite convenient for achieving the high performance levels expected of composite materials. A favorable attribute of a braided structure is the ability for the design engineer ...
MACN: Map-Aided Cooperative Inertial Navigation
(2020-05-18)
This thesis presents an inertial navigation system (INS) that leverages the global positioning system (GPS) and a sparse road network database to cooperatively localize ground vehicles within close proximity to one another. ...
Macro-propagation of native cane (Arundinaria spp.) in central Kentucky and restoration out-plantings in western Tennessee and southern Alabama.
(2015-07-23)
Canebrakes, monodominant stands of native bamboo (Arundinaria spp.; hereafter cane), are a critically endangered ecosystem in the Southeastern United States. Canebrakes have declined to <2% of their former range from ...
Macrophage CXCR7: A Potential New Target for Atherosclerosis
(2013-07-15)
Objective—The discovery of CXCR7 as a new receptor for SDF-1 places many previously described SDF-1 functions attributed to CXCR4 in question, though whether CXCR7 acts as a signaling or “decoy” receptor has been in debate. ...