Digital Commons Network^™

Speleogenesis And Delineation Of Megaporosity And Karst Geohazards Through Geologic Cave Mapping And Lidar Analyses Associated With Infrastructure In Culberson County, Texas, Jon T. Ehrhart

Electronic Theses and Dissertations

The Gypsum Plain region of the Delaware Basin hosts approximately 1800 km² of the Castile Formation outcrop. A myriad of karstic developments from closed sinkholes to large multi-kilometer cave systems have been documented within the region. Karst studies on the distribution and speleogenetic evolution within Castile strata began within the last decade with ever increasing data resolution. In this study, a combination of both physical field surveys and analyses of high resolution (~30 cm accuracy) LiDAR data was used to create a theoretical model for karst development across the region. This idealized model considers speleogenetic formation type variations (hypogene …

An Open Source Approach To Serve A Large Number Of Computer Users Using Block-Level Streaming, Max D. Torres

Theses and Dissertations

There are several options for providing a large number of computers to users for their daily tasks. A typical setup may consist of a large number of computers where each relies on an HDD consisting of the required software, sufficient RAM, a capable CPU that meets the software requirements, and a stable network connection. This thesis proposes the use of the open-source AoE protocol to stream an OS to a user computer from a central server. Since the streaming is done from a well-protected central storage, the AoE protocol is less prone to failures compared to the traditional approach based …

A Multi-Value Sequence Generated By Power Residue Symbol And Trace Function Over Odd Characteristic Field, Yasuyuki Nogami, Satoshi Uehara, Kazuyoshi Tsuchiya, Nasima Begum, Hiroto Ino, Robert Morelos-Zaragoza

Faculty Publications

This paper proposes a new multi-value sequence generated by utilizing primitive element, trace, and power residue symbol over odd characteristic finite field. In detail, let p and k be an odd prime number as the characteristic and a prime factor of p-1, respectively. Our proposal generates k-value sequence T={ti | ti=fk(Tr(ωi)+A)}, where ω is a primitive element in the extension field $\F{p}{m}$, Tr(⋅) is the trace function that maps $\F{p}{m} \rightarrow \f{p}$, A is a non-zero scalar in the prime field $\f{p}$, and fk(⋅) is a certain mapping function based on k-th power residue symbol. Thus, the proposed sequence has …

Privacy Protection And Aggregate Health Data: A Review Of Tabular Cell Suppression Methods (Not) Employed In Public Health Data Systems, Gregory J. Matthews, Ofer Harel, Robert H. Aseltine Jr.

Mathematics and Statistics: Faculty Publications and Other Works

Public health research often relies on individuals’ confidential medical data. Therefore, data collecting entities, such as states, seek to disseminate this medical data as widely as possible while still maintaining the privacy of the individual for legal and ethical reasons. One common way in which this medical data is released is through the use of Web-based Data Query Systems (WDQS). In this article, we examined WDQS listed in the National Association for Public Health Statistics and Information Systems (NAPHSIS) specifically reviewing them for how they prevent statistical disclosure in queries that produce a tabular response. One of the most common …

Predicting Social Functioning In Young Adults With 22q11.2 Deletion Syndrome: A Longitudinal Study, Kayla Eileen Wagner

Dissertations - ALL

Background: The primary objectives of the current study were to (a) describe social functioning outcomes over a 9-year span in individual with 22q11.2 Deletion Syndrome (22q11.2DS) and (b) identify childhood predictors of social functioning in young adults with 22q11.2DS.

Method: Using data from a prospective longitudinal study, young adult social functioning was compared among individuals with 22q11.2DS, their siblings, and community controls. Childhood cognitive, emotional, and behavioral predictors of young adult social functioning were examined. In addition, the relationship between psychosis and social functioning was explored. Family environment and factors contributing to parental stress in adolescence were investigated as potential …

High-Energy Neutron Backgrounds For Underground Dark Matter Experiments, Yu Chen

Dissertations - ALL

Direct dark matter detection experiments usually have excellent capability to distinguish nuclear recoils, expected interactions with Weakly Interacting Massive Particle (WIMP) dark matter, and electronic recoils, so that they can efficiently reject background events such as gamma-rays and charged particles. However, both WIMPs and neutrons can induce nuclear recoils. Neutrons are then the most crucial background for direct dark matter detection. It is important to understand and account for all sources of neutron backgrounds when claiming a discovery of dark matter detection or reporting limits on the WIMP-nucleon cross section. One type of neutron background that is not well understood …

Development Of Multicomponent Coupled-Cluster Theory And Its Application To Nanoclusters And Molecular Systems, Benjamin Harrison Ellis

Dissertations - ALL

Many theoretical and computational methods are based upon the Born-Oppenheimer approximation. This approximation greatly simplifies the search for a wave function that describes all electrons and nuclei in a chemical system. This is accomplished by assuming that the motion of nuclei and electrons are vastly different; the motion of the two particle types is decoupled. While the BO approximation is ubiquitous in computational and theoretical studies, it is not always justifiable. There are two main cases where this approximation is not valid. The first is when nuclear and electronic motion cannot be decoupled. Decoupling the motion leads to incorrect observations …

Laboratory Investigations Into The Fate Of Aromatic Pollutants In Natural Waters, Jarod Nathaniel Grossman

Dissertations - ALL

Condensed phases in the atmosphere, such as cloud droplets and aerosols, often contain both water and organic matter (OM). Reactivity can differ significantly between aqueous and organic phases. We have measured photolysis kinetics of the polycyclic aromatic hydrocarbons (PAHs) anthracene and pyrene in several organic solvents and in water, in miscible and phase-separated aqueous-organic mixtures, in the presence of halide salts (NaCl, NaBr, and NaI), and in simulated seawater. Moreover, the roles of singlet oxygen and pH were investigated on the kinetics at atmospherically-relevant wavelengths. Photolysis rate constants generally increased with increasing solvent polarity. Our results suggest that OM could …

On The Design And Analysis Of Secure Inference Networks, Venkata Sriram Siddhardh Nadendla

Dissertations - ALL

Parallel-topology inference networks consist of spatially-distributed sensing agents that collect and transmit observations to a central node called the fusion center (FC), so that a global inference is made regarding the phenomenon-of-interest (PoI). In this dissertation, we address two types of statistical inference, namely binary-hypothesis testing and scalar parameter estimation in parallel-topology inference networks. We address three different types of security threats in parallel-topology inference networks, namely Eavesdropping (Data-Confidentiality), Byzantine (Data-Integrity) or Jamming (Data-Availability) attacks. In an attempt to alleviate information leakage to the eavesdropper, we present optimal/near-optimal binary quantizers under two different frameworks, namely differential secrecy where the difference …

“My Training Wheels Are Off:” How First Generation College Students Made Meaning Of The Influence Of Their College Access And Support Programs, Staci Weber

Dissertations - ALL

This research explored how 47 first generation college students at a private university in the Northeast used non-profit and government-funded college access and support programs to make meaning of their college-going journeys. The participants used college access programs to prepare themselves for, gain access to, and persist at a selective postsecondary institution directly after high school. This research asked what skills and knowledge do first generation college students learn through their college access and support programs? How do first generation college students use the skills and knowledge they obtained through their college access and support programs to help navigate their …

Spartan Daily, December 1, 2016, San Jose State University, School Of Journalism And Mass Communications

Spartan Daily, 2016

Volume 147, Issue 38

Transport And Optical Conductivity In The Hubbard Model: A High-Temperature Expansion Perspective, Edward Perepelitsky, Andrew Galatas, Jernej Mravlje, Rok Žitko, Ehsan Khatami, B. Shastry, Antoine Georges

Faculty Publications

We derive analytical expressions for the spectral moments of the dynamical response functions of the Hubbard model using the high-temperature series expansion. We consider generic dimension d as well as the infinite-d limit, arbitrary electron density n, and both finite and infinite repulsion U. We use moment-reconstruction methods to obtain the one-electron spectral function, the self-energy, and the optical conductivity. They are all smooth functions at high temperature and, at large U, they are featureless with characteristic widths of the order of the lattice hopping parameter t. In the infinite-d limit, we compare the series expansion results with accurate numerical …

Investigation Of Dynamic Biological Systems Using Direct Injection And Liquid Chromatography Mass Spectrometry, Adam Clayton Swensen

Theses and Dissertations

In biological systems, small changes can have significant impacts. It is, therefore, very important to be able to identify these changes in order to understand what is occurring in the organism. In many cases, this is not an easy task. Mass spectrometry has proven to be a very useful tool in elucidating biological changes even at a very small scale. Several different mass spectrometry based techniques have been developed to discover and investigate complex biological changes. Some of these techniques, such as proteomics, have been through years of development and have advanced to the point that anyone can complete complex …

Managing The Spread Of Alfalfa Stem Nematodes (Ditylenchus Dipsaci): The Relationship Between Crop Rotation Periods And Pest Re-Emergence, S. Jordan, Claudia Nischwitz, R. Ramirez, Luis F. Gordillo

Mathematics and Statistics Faculty Publications

Alfalfa is a critical cash/rotation crop in the western region of the United States, where it is common to find crops affected by the alfalfa stem nematode (Ditylenchus dipsaci). Understanding the spread dynamics associated with this pest would allow growers to design better management programs and farming practices. This understanding is of particular importance given that there are no nematicides available against alfalfa stem nematodes and control strategies largely rely on crop rotation to non-host crops or by planting resistant varieties of alfalfa. In this paper we present a basic host-parasite model that describes the spread of the …

A Pes Study Of Factors Influencing Metal Partitioning In Aquatic Systems: “Design Of Experiment As, Cd, Co, Cr, Cu, Pb, Ni, And Zn”, Eid A. Alkhatib, John Rapaglia, Leon Theim

Chemistry & Physics Faculty Publications

Mobility and bioavailability of heavy metals are related to their partitioning amongst suspended sediment and water. A Particle Entrainment Simulator (PES) is used to simulate sediment resuspention in natural surface water systems. The simulations were carried out under various conditions of water/suspended solids conditions. Five factors, each at various levels, are tested collectively: the pH of water at two levels (4 and 8), shear stress on bottom sediment at three levels (0.1, 0.3, and 0.5 N/m2 ) salinity of water at two levels (0.01 and 14.0 ppt), organic matter in sediment at three levels (0.50, 1.93, and 3.80%) and temperature …

Spatial Distribution Of Antibiotic Resistance In Soils Receiving Beef Feedlot Runoff, Scott Speicher

Department of Environmental Engineering: Theses and Other Student Research

A study was conducted to provide new insight on the potential contribution to antibiotic resistance from the land application of beef feedlot runoff to soil. This study reports the distribution and quantity of antibiotic resistant bacteria (ARBs), fecal indicator bacteria (FIB), and antibiotic resistance genes (ARGs) in soil from (i) a field receiving long-term application of beef feedlot runoff holding pond effluent and (ii) a cool-season pasture with no history of supplemental manure application.

Soil samples were collected June 2015 at the U.S. Meat Animal Research Center near Clay Center, Nebraska. A response surface sampling design (RSSD) model based on …

Models For Decanting Gaseous Fuel Tanks: Simulations With Gfssp Thermal Model, Kailash Kumar Jain Munoth

Department of Mechanical and Materials Engineering: Dissertations, Theses, and Student Research

Transport of fuel from distillation/storage plant to different parts of the world has always been challenging task for Engineers. Different methods have been proposed over the time for transporting fuel efficiently and at low cost which include Marine vessels, Pipelines, Rail Cars and Trucks. In order to transport useful amount of fuel in a reasonably sized tank, we have to liquefy it. While few fuels are easy to liquefy there are great number of fuels which liquefy only under extreme pressure/temperature conditions. Methane has a boiling point of -161.7°C at atmospheric pressure which means it has to be cooled to …

Dynamic Responses Of Wheel-Rail Systems With Block Dampers, Tzuyu Tseng

Department of Mechanical and Materials Engineering: Dissertations, Theses, and Student Research

The wheel-rail interaction problem has been widely studied in the past few decades. In this problem, dynamic responses at the contact areas remain the central issue since they induce damage to the rail over time. In particular, the dynamic responses at the contact areas between the wheels and rails present difficulties in understanding and mathematical modeling. Even with the computer power one has today, its mathematical modeling employs the versatile numerical analysis method, the finite element method (FEM) remains a formidable challenge due to its extremely small contact areas and in turn the extremely high stress levels. In addition, friction …

Safety Performance Prediction Of Large-Truck Drivers In The Transportation Industry, Emily Moneka Francis Xavier

Graduate Theses and Dissertations

The trucking industry and truck drivers play a key role in the United States commercial transportation sector. Accidents involving large trucks is one such big event that can cause huge problems to the driver, company, customer and other road users causing property damage and loss of life. The objective of this research is to concentrate on an individual transportation company and use their historical data to build models based on statistical and machine learning methods to predict accidents. The focus is to build models that has high accuracy and correctly predicts an accident. Logistic regression and penalized logistic regression models …

Monte Carlo Methods In Bayesian Inference: Theory, Methods And Applications, Huarui Zhang

Graduate Theses and Dissertations

Monte Carlo methods are becoming more and more popular in statistics due to the fast development of efficient computing technologies. One of the major beneficiaries of this advent is the field of Bayesian inference. The aim of this thesis is two-fold: (i) to explain the theory justifying the validity of the simulation-based schemes in a Bayesian setting (why they should work) and (ii) to apply them in several different types of data analysis that a statistician has to routinely encounter. In Chapter 1, I introduce key concepts in Bayesian statistics. Then we discuss Monte Carlo Simulation methods in detail. Our …

Towards Structuring Smart Grid: Energy Scheduling, Parking Lot Allocation, And Charging Management, Mehdi Rahmani-Andebili

All Dissertations

Nowadays, the conventional power systems are being restructured and changed into smart grids to improve their reliability and efficiency, which brings about better social, economic, and environmental benefits. To build a smart grid, energy scheduling, energy management, parking lot allocation, and charging management of plug-in electric vehicles (PEVs) are important subjects that must be considered. Accordingly, in this dissertation, three problems in structuring a smart grid are investigated.

The first problem investigates energy scheduling of smart homes (SHs) to minimize daily energy consumption cost. The challenges of the problem include modeling the technical and economic constraints of the sources and …

Radiative Transfer Using Path Integrals For Multiple Scattering In Participating Media, Paul Michael Kilgo

All Dissertations

The theory of light transport forms the basis by which many computer graphic renderers are implemented. The more general theory of radiative transfer has applications in the wider scientific community, including ocean and atmospheric science, medicine, and even geophysics. Accurately capturing multiple scattering physics of light transport is an issue of great concern. Multiple scattering is responsible for indirect lighting, which is desired for images where high realism is the goal. Additionally, multiple scattering is quite important for scientific applications as it is a routine phenomenon. Computationally, it is a difficult process to model. Many have developed solutions for hard …

Complex Network Analysis And The Applications In Vehicle Delay-Tolerant Networks, Bo Wu

All Dissertations

Vehicle Delay Tolerant Networks (VDTNs) is a particular kind of Delay Tolerant Networks (DTNs), where vehicles equipped with transmission capabilities are interconnected to form Vehicle NETworks (VNETs). Some applications and services on the top of VDTNs have raised a lot of attention, especially by providing information about weather conditions, road safety, traffic jams, speed limit, and even video streamings without the need of infrastructures. However, due to features such as high vehicle mobility, dynamic scenarios, sparsity of vehicles, short contact durations, disruption and intermittent connectivity and strict requirements for latency, many VDTNs do not present satisfactory performance, because no path …

A Multi-Model Approach To Design A Robust Fixed-Order Controller To Improve Power System Stability, Abdlmnam Abdlrahem Abdlrahem

All Dissertations

The rapid increase in power system grid has resulted in additional challenges to reliable power transfer between interconnected systems of a large power network. Large-scale penetration of intermittent renewable energy increases uncertainty and variability in power systems operation. For secure operation of power systems under conditions of variability, it is imperative that power system damping controllers are robust. Electromechanical oscillations in the range of 0.2 Hz to 1 Hz are categorized as inter-area modes. These modes arise due primarily to the weak interconnections characterized by long transmission lines between different operating areas of an interconnected power system. One of the …

Characterizing The Performance Of A Ferrofluid-Based Electromagnetic Energy Harvester Under Direct And Parametric Excitations, Saad F. Alazemi

All Dissertations

When a container carrying a magnetized ferrofluid is subjected to external mechanical stimuli, the sloshing motion of the magnetized ferrofluid generates a time-varying magnetic flux, which can be used to induce an electromotive force in a coil placed adjacent to the container. This process generates an electric current in the coil, and therewith, can be used to transduce external vibrations into electric energy providing a unique approach for vibration energy harvesting using liquid-state transduction materials. As compared to traditional vibratory energy harvesters that employ soli transduction elements, this approach offers several advantages including, but not limited to, conformability to different …

Accelerating Big Data Analytics On Traditional High-Performance Computing Systems Using Two-Level Storage, Pengfei Xuan

All Dissertations

High-performance Computing (HPC) clusters, which consist of a large number of compute nodes, have traditionally been widely employed in industry and academia to run diverse compute-intensive applications. In recent years, the revolution in data-driven science results in large volumes of data, often size in terabytes or petabytes, and makes data-intensive applications getting exponential growth. The data-intensive computing presents new challenges to HPC clusters due to the different workload characteristics and optimization objectives. One of those challenges is how to efficiently integrate software frameworks developed for big data analytics, such as Hadoop and Spark, with traditional HPC systems to support both …

Effects Of Mismatched Math Self-Efficacy And Performance On Behaviors And Attitudes Of Engineering Students With Poor Math Preparation, Gustavo Moran

All Dissertations

This research is a sequential explanatory mixed methods study seeking to understand the influences of mathematics self-efficacy (math SE) on the behavior and attitudes of engineering students with poor math preparation behavior and attitudes in their first college math courses.

The quantitative phase of this research assessed the math SE of engineering students placed in non-college-level math courses at Clemson University. A total of 408 students completed a survey to classify their math SE level; based on the results of the quantitative data analysis, 11 engineering students were selected from different semesters between the Spring 2014 and Spring 2016 to …

Optimal Design Of Process Parameters During Laser Direct Metal Deposition Of Multi-Material Parts, Jingyuan Yan

All Dissertations

During the past few years, the need for multi-material parts or heterogeneous objects (HOs) has surfaced with the rapid growth of laser technology, material science and additive manufacturing techniques. Direct Metal Deposition (DMD) process, a metal based additive manufacturing technique, can locally deposit dissimilar metal powders to produce HOs as needed. While some theoretical and experimental studies have been conducted to investigate the DMD process, there are still some challenges such as the process parameters design, optimization, and adjustment during the fabrication of HOs that have not been well elucidated. This dissertation aims at developing the manufacturing science needed to …

Kernel Smoothing And Tolerance Intervals For Hierarchical Data, Christopher Wilson

All Dissertations

Multistage sampling is a common sampling technique in many studies. A challenge presented by multistage sampling schemes is that an additional random term should be introduced to the linear model. Observations are identically distributed but not independent, thus many traditional kernel smoothing techniques, which assume that the data is independent and identically distributed, may not produce reasonable estimates for the marginal density. Breunig (2001) proposed a method to account for the intra-class correlation leading to a complex bandwidth involving high order derivatives for bivariate kernel density estimate. We consider an alternative approach where the data are grouped into multiple random …

Formulation Of An Interactive Ruled-Based Design Envelope For Ensuring Aftermarket Vehicle Dynamics Compliance, Xianjie Zhou

All Dissertations

The objective of this research is to develop an integrated system engineering methodology for the customization design to maximize vehicle performance upgrade freedom while ensuring vehicle dynamics compliance. A post-delivery modification framework, which is led by an aftermarket umbrella organization and involve various stakeholders has been established. The umbrella organization will be in charge of developing the design envelope and distribute to various aftermarket kit suppliers to generate specific products according to their brand essence. A generic mathematical representation of a (proprietary) ESC system has been developed for virtual certification purposes. This approach is a cost-effective alternative to physical on-road …