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2,536 Matching Results
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Reliability Characterization and Performance Analysis of Solid State Drives in Data Centers
NAND flash-based solid state drives (SSDs) have been widely adopted in data centers and high performance computing (HPC) systems due to their better performance compared with hard disk drives. However, little is known about the reliability characteristics of SSDs in production systems. Existing works that study the statistical distributions of SSD failures in the field lack insights into distinct characteristics of SSDs. In this dissertation, I explore the SSD-specific SMART (Self-Monitoring, Analysis, and Reporting Technology) attributes and conduct in-depth analysis of SSD reliability in a production environment with a focus on the unique error types and health dynamics. QLC SSD delivers better performance in a cost-effective way. I study QLC SSDs in terms of their architecture and performance. In addition, I apply thermal stress tests to QLC SSDs and quantify their performance degradation processes. Various types of big data and machine learning workloads have been executed on SSDs under varying temperatures. The SSD throughput and application performance are analyzed and characterized.
Date:
December 2021
Creator:
Liang, Shuwen (Computer science and engineering researcher)
Object Type:
Thesis or Dissertation
System:
The UNT Digital Library
Unraveling the Effect of Atomic Configurations and Structural Statistics on Mechanical Behavior of Multicomponent and Amorphous Alloys
Multicomponent high-entropy and amorphous alloys represent relatively new classes of structural materials with complex atomic configurations and exceptional mechanical properties. However, there are several knowledge gaps in the relationships between their atomic structure and mechanical properties. Understanding these critical relationships will enable novel alloy design and tailoring of their mechanical properties for desired engineering applications. In this dissertation, first-principles calculations and molecular dynamics simulations are applied to investigate the local atomic configurations and ordering in high-entropy and amorphous alloys. Our findings suggest that fluctuations in local atomic configurations for high- entropy alloys result in significant changes in stacking fault energy, twin energy, dislocation behavior, dislocation-twin interactions, and critical shear stress. For amorphous alloys or metallic glasses, the short-range order (SRO) and medium-range order (MRO) were found to play decisive roles in determination of their mechanical properties. Structural relaxation was found to lead to shear localization, which was attributed to free volume change and evolution of SRO and MRO to more brittle nature. In contrast, rejuvenated metallic glasses had relatively large and uniform free volume distribution giving rise to homogeneous flow and increased plasticity.
Date:
December 2021
Creator:
Yang, Yu Chia
Object Type:
Thesis or Dissertation
System:
The UNT Digital Library
The Examination of Black and Latino/a/x Students' and Responsive STEM Teachers' Perceptions of Teacher Cultural Consciousness and Culturally Responsive Instructional Practices
School cultures, curriculum, and instruction are too often created through a monocultural lens, which excludes Black and Latino/a/x students both socially and academically, and perpetuates the false notion that these students are inherently less capable of achieving academic success when compared to their White counterparts. This is visible across all content areas, but especially in secondary science, technology, engineering, and mathematics (STEM) classes, which means that our Black and Latino/a/x students are continually denied preparation for the critical, high demand careers in the STEM field. Just as critical, with the dominance of White teachers in the classroom, out Black and Latino/a/x students often do not have access to teachers who share their lived experiences or who understand the nuances of their home cultures. However, teachers and school instructional leaders can change course by focusing their efforts to develop a rich cultural consciousness, and by focusing on the utilization of culturally responsive pedagogy (CRP) and related instructional strategies with great intentionality in the classroom. This mixed method, single site, exploratory case study was conducted to examine Black and Latino/a/x students' perceptions of their culturally responsive STEM teachers' cultural consciousness, and culturally responsive STEM teachers' perceptions of culturally responsive practices and their …
Date:
December 2021
Creator:
Norris, Margaret Louise
Object Type:
Thesis or Dissertation
System:
The UNT Digital Library
Domain Specific Cognitive Effects of Sickle Cell Disease in Children
Multiple contributors to neurocognitive impairment in individuals with sickle cell disease have been identified. Research indicates that a history of cerebrovascular accidents, such as silent infarcts and strokes are associated with greater cognitive decline among children with sickle cell disease. Additionally, disease effects such as hemoglobin and hematocrit levels significantly effect cognitive performance among this population and should be taken into consideration when examining neurocognitive impairment. Further, previous studies show a significant relationship between child behavior problems, family functioning, and cognitive performance in children with sickle cell, marking those as important targets for intervention among this population. While cognitive decline with increased age is not typically examined in healthy child populations, some research indicates the presence of age effects in those with SCD. A majority of the literature addresses cognitive impairment from a broad perspective, while a limited number of studies have begun to address effects among specific cognitive domains. Using archival data from the National Institutes of Health's Cooperative Study of Sickle Cell Disease, results revealed that disease severity was negatively correlated with some aspects of cognitive functioning, including visual-spatial domains. Additionally, some measures of cognitive performance were inversely correlated with age. Consistent with hypothesized outcomes, family functioning was …
Date:
December 2021
Creator:
Carroll, Bridgette
Object Type:
Thesis or Dissertation
System:
The UNT Digital Library
Air Corridors: Concept, Design, Simulation, and Rules of Engagement
Air corridors are an integral part of the advanced air mobility infrastructure. They are the virtual highways in the sky for transportation of people and cargo in the controlled airspace at an altitude of around 1000 ft. to 2000 ft. above the ground level. This paper presents fundamental insights into the design of air corridors with high operational efficiency as well as zero collisions. It begins with the definitions of air cube, skylane or track, intersection, vertiport, gate, and air corridor. Then, a multi-layered air corridor model is proposed. Traffic at intersections is analyzed in detail with examples of vehicles turning in different directions. The concept of capacity of an air corridor is introduced along with the nature of distribution of locations of vehicles in the air corridor and collision probability inside the corridor are discussed. Finally, the results of simulations of traffic flows are presented.
Date:
December 2021
Creator:
Muna, Sabrina Islam
Object Type:
Thesis or Dissertation
System:
The UNT Digital Library
A Proposal for a Training Program to Support Culturally Responsive Professional-Family Interactions
Behavior analysts often work with families from diverse cultural backgrounds. Ideally, behavior analysts and families interact in ways that are responsive to the family's culture and valued outcomes. The data indicate that most behavior analysts, however, come from one dominant cultural group. This is a proposal for training program and evaluation method to support culturally responsive professional-family interactions. This proposed study is designed to be conducted via Zoom-- a cloud-based video conferencing service. A pre-post treatment design is proposed to assess the effects of the training. Hypothetical data were generated to consider the range of effects such a program might have on trainee responses to written/live scenarios. Responses in the observation protocol included written descriptions, empathetic statements, perspective taking statements, and non-verbal behaviors. Overall, the program was designed using evidence-based procedures and is likely to support behavior analysts in training and in practice to improve their interactions with families and become more culturally responsive to groups of people that are from the non-dominant culture.
Date:
December 2021
Creator:
Anegbeh, Cynthia Momoh
Object Type:
Thesis or Dissertation
System:
The UNT Digital Library
The Effect of Online Consumer Reviews and Brand Equity on the Consumer Decision Making Process
This research aims to investigate the (1) review effects on consumer decision making process, (2) effects of negative reviews on brand equity, and (3) consumers' likely response to a brand's request for reviews. The objective of the first essay is to investigate the nature of the relationship between skepticism and consumer decision making in an online behavior context. Its second objective is to know whether people's belief on their abilities or their hedonic principle moderates the relationship between a person's skepticism toward online reviews and their reliance on online reviews. The objective of the second essay is to explore whether negative online reviews that focus on service quality specific dimensions have a different effect on a service organization's perceived brand equity. Its second objective is to analyze the role of emotional contagion in the relationship between negative reviews related to various service quality dimensions and its effect on perceived brand equity. The main objective of the third essay is to know whether consumers are more likely to write an online review for a brand when the request comes from a higher equity brand. This essay also investigates how message trust and persuasion knowledge influence the relationship between a brand's request …
Date:
December 2021
Creator:
Ahmad, Fayez
Object Type:
Thesis or Dissertation
System:
The UNT Digital Library
Transactions of the Regional Archeological Symposium for Southeastern New Mexico and Western Texas: 1996
Proceedings of the 32nd regional archeological symposium including the text of papers presented during the conference. It also includes the SWFAS by-laws, and the meeting minutes for the March 30, 1996 SWFAS business meeting.
Date:
2021
Creator:
McIntosh, Dennis
Object Type:
Book
System:
The Portal to Texas History
Essentials of E-Discovery
Book "compiled to serve as a desktop reference for attorneys practicing in Texas state courts and federal district courts located in Texas" on the legal issues surrounding e-discovery (p. xxiii).
Date:
2021
Creator:
Rodriguez, Xavier, 1961-
Object Type:
Book
System:
The Portal to Texas History
Texas Real Estate Forms Manual: 2021, Volume 1
Manual compiled by professional lawyers in the state of Texas regarding the processes and forms needed for typical real estate transactions: "This supplement updates the practice notes and forms and incorporates relevant statutory case law handed down since 2017" (p. 1).
Date:
2021
Creator:
State Bar of Texas. Real Estate Forms Committee.
Object Type:
Book
System:
The Portal to Texas History
Texas Real Estate Forms Manual: 2021, Volume 2
Manual compiled by professional lawyers in the state of Texas regarding the processes and forms needed for typical real estate transactions.
Date:
2021
Creator:
State Bar of Texas. Real Estate Forms Committee.
Object Type:
Book
System:
The Portal to Texas History
Optimal Pair-Trading Decision Rules for a Class of Non-Linear Boundary Crossings by Ornstein-Uhlenbeck Processes
The most useful feature used in finance of the Ornstein-Uhlenbeck (OU) stochastic process is its mean-reverting property: the OU process tends to drift towards its long- term mean (its equilibrium state) over time. This important feature makes the OU process arguably the most popular statistical model for developing best pair-trading strategies. However, optimal strategies depend crucially on the first passage time (FPT) of the OU process to a suitably chosen boundary and its probability density is not analytically available in general. Even for crossing a simple constant boundary, the FPT of the OU process would lead to crossing a square root boundary by a Brownian motion process whose FPT density involves the complicated parabolic cylinder function. To overcome the limitations of the existing methods, we propose a novel class of non-linear boundaries for obtaining optimal decision thresholds. We prove the existence and uniqueness of the maximizer of our decision rules. We also derive simple formulas for some FPT moments without analytical expressions of its density functions. We conduct some Monte Carlo simulations and analyze several pairs of stocks including Coca-Cola and Pepsi, Target and Walmart, Chevron and Exxon Mobil. The results demonstrate that our method outperforms the existing procedures.
Date:
December 2021
Creator:
Tamakloe, Emmanuel Edem Kwaku
Object Type:
Thesis or Dissertation
System:
The UNT Digital Library
A New Class of Stochastic Volatility Models for Pricing Options Based on Observables as Volatility Proxies
One basic assumption of the celebrated Black-Scholes-Merton PDE model for pricing derivatives is that the volatility is a constant. However, the implied volatility plot based on real data is not constant, but curved exhibiting patterns of volatility skews or smiles. Since the volatility is not observable, various stochastic volatility models have been proposed to overcome the problem of non-constant volatility. Although these methods are fairly successful in modeling volatilities, they still rely on the implied volatility approach for model implementation. To avoid such circular reasoning, we propose a new class of stochastic volatility models based on directly observable volatility proxies and derive the corresponding option pricing formulas. In addition, we propose a new GARCH (1,1) model, and show that this discrete-time stochastic volatility process converges weakly to Heston's continuous-time stochastic volatility model. Some Monte Carlo simulations and real data analysis are also conducted to demonstrate the performance of our methods.
Date:
December 2021
Creator:
Zhou, Jie
Object Type:
Thesis or Dissertation
System:
The UNT Digital Library
Charter of the Select Committee on Artificial Intelligence
This report details the creation of the Select Committee on Artificial Intelligence, chartered by action of the National Science and Technology Council (NSTC). The purpose of the Select Committee is to advise and assist the NSTC to improve the overall effectiveness and productivity of Federal research and development, demonstration, and education and workforce development efforts related to artificial intelligence.
Date:
January 15, 2021
Creator:
Select Committee on Artificial Intelligence
Object Type:
Report
System:
The UNT Digital Library
Artificial Intelligence and Machine Learning In Consumer Products
This report provides background information on artificial intelligence and machine learning (AI/ML) and outlines a proposed framework to evaluate the safety of these technologies in consumer products. It outlines efforts underway and recommended future actions the CPSC can take to identify safety concerns with AI/ML technologies.
Date:
May 19, 2021
Creator:
Consumer Product Safety Commission (U.S.)
Object Type:
Report
System:
The UNT Digital Library
S&T Artificial Intelligence & Machine Learning Strategic Plan
This report presents goals that will enable the Science and Technology Directorate to conduct artificial intelligence and machine learning research, development, test, and evaluation activities to support DHS mission needs.
Date:
August 2021
Creator:
United States. Department of Homeland Security. Science and Technology Directorate
Object Type:
Report
System:
The UNT Digital Library