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Scholarships, The Mcnair Team

McNair Scholars Research Journal

No abstract provided.

Matrix-Based Methods Of Data Collection And Analysis Of Soccer Matches, Henry Alvarez

McNair Scholars Research Journal

No abstract provided.

Liquid-To-Liquid Low Grade Waste Heat Recovery Using A Two-Channel Loop, Waleed Farwana

Masters Theses

The use of thermoelectric generators (TEGs) for producing electric energy from low grade “waste heat” has been theorized to provide a sustainable and low-cost energy source for electric power plants. The purpose of this study is to model and experimentally validate a TEG device that takes advantage of low grade waste heat (approximately 100-150 degrees Celsius) in liquid form in order to generate power that can be used for various applications in the surrounding environment. This research aims to demonstrate that optimized TEG designs bear the potential to compete with other methods of low grade waste heat energy harvesting in …

Qed: The Research Annual Of The Uta Honors College (2018), Misbah Ahmed, Jeremy Dubhrós, Genichiro Fujioka, Gregory Luke, Samantha Oliphint, Valerie Rose Bilton, Alyssa Bragg, Darshan Chalise, Divya Chalise, Sanjari Chelawat, Lauren Crane, Iretomiwa Esho, Islam Hammad, Phyllis Mae Helms, Alyssa Hernandez, Mostofa Hisham, Valery Lofton, Virginia Morris, Jonathan Nufable, Cristian Almendariz, Nicholas Byrnes, Daniela Chavez Garcia, Sanjari Chelawat, Stephanie Dolenz, Arnav Garg, Prasoon Gautam, Wade Girton, Kalen Goss Manshack, Jared Hanes, Ian Harris, Nawal Joulani, Alexandra E. Kessler, Hrishabh Khakurel, Tiffany Kim, Nicholas Lira, Marissa Lopez, Vaishanavi Mirapurkar, Chidalu Mozie, Murtaza Mucklai, Ariel O’Brien, Leonee Onyekwere, Ashley Quimod, Mohammad Rashik, Raegan P. Rust, Tanmay Sardesai, Chanel Sassoon, Swangya Saurav, Romeeka Arfeen Siddiqui, Trevor Stull, Jaycee Weber

2018 Fall Honors Capstone Projects - Archive

The Honors College of the University of Texas at Arlington is a purposefully diverse community of student scholars in all majors dedicated to student success. The mission of the College is simple: to offer high achieving students an extraordinary undergraduate education through special academic programs and opportunities for research, study abroad, and leadership. The Honors curriculum fits with all majors, and complements and advances the goals of student's academic disciplines.

Book Review: Life On Mars: What To Know Before We Go, T. D. Oswalt

Publications

This document is Dr. Oswalt’s review of Life on Mars: what to know before we go. Princeton, 2018. 302p index ISBN 9780691180533, $29.95; ISBN 9781400889945 ebook, contact publisher for price.

Effects Of Parafluvial Flows On Interstitial Ammonia And Freshwater Mussels In The Buffalo National River, David Alan Johnson

Graduate Theses/Dissertations

Freshwater mussel populations and distributions have declined over the past several decades in the Buffalo River, Arkansas. Among many possible causes, this study tested the hypothesis that ammonia concentrations in parafluvial flows through gravel bars might be high enough to impair the survival and growth of juvenile mussels. Ammonia, pH, temperature, and dissolved oxygen were measured in interstitial and water column samples from gravel bars to test for possible longitudinal gradients. Samples were taken along 3 large bars at locations within the Buffalo National River, at approximate bi-weekly intervals between June and September of 2010. Water sample ammonia concentrations were …

Modeling The Response Of Black Walnut -Dominant Mixed Hardwoods To Seasonal Climate Effects With Uav-Based Hyperspectral Sensor And Aerial Photogrammetry, Tyler G. Bradford

Graduate Theses/Dissertations

The development of compact sensors in recent years has inspired the use of UAS-based hyperspectral and aerial imaging techniques for small-scale remote sensing applications. With increasing concerns about climate change, spectrally-derived vegetation indices (VIs) have proven useful for quantifying stress-induced vegetation response. The goal of this study was to develop predictive models and assess methodology for modeling the biological response of a black walnut -dominant mixed hardwood stand to seasonal climate events using UAV-based hyperspectral remote-sensing. The derived VIs were evaluated against the means of four seasonal measures of climate calculated for a two-week period prior to the flight date. …

Towards Automated Domain-Oriented Lexicon Construction And Dimension Reduction For Arabic Sentiment Analysis, Hasan A. Alshahrani

Dissertations

Sentiment analysis is a type of text mining that uses Natural Language Processing (NLP) tools to identify and label opinionated text. There are two main approaches of sentiment analysis: lexicon-based, and statistical approach. In our research, we use the lexicon-based approach because the lexicon contains sentiment words and phrases which are the main linguistic units to express sentiments. More specifically, we work with domain-oriented lexicons as they are more efficient than general ones because the polarity is heavily driven by domains.

Arabic language has a degree of uniqueness that makes it hard to be processed with the available cross-language tools …

Generalized Line Graphs, Mohra Abdullah Z. Alqahtani

Dissertations

With every nonempty graph, there are associated many graphs. One of the best known and most studied of these is the line graph L (G) of a graph G, whose vertices are the edges of G and where two vertices of L (G) are adjacent if the corresponding edges of G are adjacent. This concept was implicitly introduced by Whitney in 1932. Over the years, characterizations of graphs that are line graphs have been given, as well as graphs whose line graphs have some specified property. For example, Beineke characterized graphs that are line graphs by forbidding certain graphs …

Protecting Privacy Of Data In The Internet Of Things With Policy Enforcement Fog Module, Abduljaleel Al-Hasnawi

Dissertations

The growth of IoT applications has resulted in generating massive volumes of data about people and their surroundings. Significant portions of these data are sensitive since they reflect peoples' behaviors, interests, lifestyles, etc. Protecting sensitive IoT data from privacy violations is a challenge since these data need to be handled by public networks, servers and clouds, most of which are untrusted parties for data owners. In this study, a solution called Policy Enforcement Fog Module (PEFM) is proposed for protecting sensitive IoT data. The primary task of the PEFM solution is mandatory enforcement of privacy polices for sensitive IoT data-whenever …

Integrated Compressive Sensing And Feature Descriptors- A Framework For Facial Recognition Systems, Ali Kadhem Jaber

Dissertations

Facial recognition is still a challenge in many applications, particularly in surveillance, security systems, and human-computer interactive (HCI) tools. The impact of real-world environmental variations on the performance of any facial recognition system can be significant. These variations may include illumination, facial expressions, poses, disguises (facial hair, glasses or cosmetics) and partial face occlusion. Furthermore, the number of images (samples) needed for facial recognition systems can be very large, much larger than what is typically required by an algorithm, and this is often made worse with expansion of the feature space dimensionality. Truly, the “curse of dimensionality” haunts any real-time …

Assessing Land Deformation And Sea Encroachment In The Nile Delta: A Radar Interferometric And Modeling Approach, Esayas Gebrekidan Gebremichael

Dissertations

Many of the deltas of the world are experiencing land deformation, subsidence or uplift of landmass, due to natural or anthropogenic causes, or a combination of both processes and causes. These deltaic settings are densely populated and border some of our world’s largest water bodies (oceans and seas). The land deformation, especially the subsidence component, when combined with the climate change-induced sea level rise, coastal erosion, and other anthropogenic drivers, will undoubtedly impact the population and economy of coastal areas of deltas. For the Nile Delta of Egypt, the land deformation processes and the factors that control the deformation processes …

Efficacy Of Deep Learning In Support Of Smart Services, Basheer Mohammed Basheer Qolomany

Dissertations

The massive amount of streaming data generated and captured by smart service appliances, sensors and devices needs to be analyzed by algorithms, transformed into information, and minted to extract knowledge to facilitate timely actions and better decision making. This can lead to new products and services that can dramatically transform our lives. Machine learning and data analytics will undoubtedly play a critical role in enabling the delivery of smart services. Within the machine-learning domain, Deep Learning (DL) is emerging as a superior new approach that is much more effective than any rule or formula used by traditional machine learning. Furthermore, …

Classifying Interdependencies In The Food And Agriculture Critical Infrastructure Sector, John Doerpinghaus

Graduate Theses and Dissertations

This work classifies examples of infrastructure interdependencies found in the food and agriculture critical infrastructure sector. Interdependencies are identified through an examination of rice and poultry agriculture throughout the state of Arkansas. The subtleties of interdependence examples in the food and agriculture sector are inadequately captured by the well-studied interdependence classification taxonomies. Through 39 interviews, we develop an understanding of the subtle temporal, geographic, and productivity scales of interdependence in over 100 examples and present five new, distinct classifications of interdependence: (1) dynamic physical, (2) dynamic geographic, (3) deadline, (4) delay, and (5) human, economic, and natural resource interdependencies. An …

Risk And Return Comparisons Of Pre-Harvest Marketing Strategies, John Leander Turner V

Graduate Theses and Dissertations

This paper analyzes risk and returns associated with pre-harvest corn grain marketing strategies for the state of Arkansas. Farming is characterized by a volatile environment. Numerous risks are taken by producers in order to provide commodities that are bought and sold by various parties in the supply chain. Price, yield, and production costs vary daily and can have large variation between years. Risk and Return Comparisons of Pre-harvest Marketing Strategies examines the effectiveness of using pre-harvest marketing strategies to enhance returns and to mitigate inherent price risk in the Memphis cash corn market. Thirteen strategies are compared to the October …

Message From The Chairs, Toshiki Hirao, Yutaro Kashiwa, Christoph Treude, Raula Gaikovina Kula

Research Collection School Of Computing and Information Systems

It is our great pleasure to welcome everyone to the 2018 International Workshop on Empirical Software Engineering in Practice (IWESEP 2018). Our workshop aims to foster the development of the area by providing a forum where researchers and practitioners can report on and discuss new research results and applications in the area of empirical software engineering. The workshop encourages the exchange of ideas within the international community so as to be able to understand, from an empirical viewpoint, the strengths and weaknesses of technology in use and new technologies, with the expectation of advancing the field of software engineering in …

Pbl In Radiotherapy Techniques Education, Ying-Hsiang Chou, Shang-Lung Dong, Cheng-Ting Shih, Chun-Chao Chuang

Journal of Medical Education

Purpose: The educational goal of the Department of Medical Imaging and Radiological Sciences is to nurture high-quality and professional medical radiation technologists. Radiotherapy techniques are one of the three major clinical subjects. Our department has chosen to apply problem-based learning (PBL) to courses on radiotherapy techniques, in the hope that students can integrate the professional knowledge acquired during courses on basic medicine, diagnostic radiology, and others to enhance learning efficiency and deepen their understanding of such knowledge for practical application. Methods: This study evaluated students' learning outcomes after PBL based on the pre- and post-tests of the course evaluation questionnaire …

Occupancy Detection Using Wireless Sensor Network In Indoor Environment, Farah Ferdaus

Master's Theses and Capstones

Occupancy detection plays an important role in many smart buildings such as reducing building energy usage by controlling heating, ventilation and air conditioning (HVAC) systems, monitoring systems and managing lighting systems, tracking people in hospitals for medical issues, advertising to people in malls, and to search and rescue missions. The global positioning system (GPS) is used most widely as a localization system but highly inaccurate for indoor applications. The indoor environment is difficult to handle because along with the loss of signals, privacy is a major concern. Indoor tracking has many aspects in common with sensor localization in Wireless Sensor …

Classification Of Arbitrary Motion Into A Canonical Basis, Michael Moger

Master's Theses and Capstones

The Empatica E4 wristwatch utilizes four sensors to capture medical data from its user - an accelerometer, a plethysmograph, an electro-dermal activity sensor, and an infrared thermophile. Utilizing these sensors, the device can provide detection-based feedback for patients suffering from various ailments. However, each sensor is coupled with the other readings, so any raw data will have a degree of noise accompanying the actual signal. After detailing a conceptual and programming knowledge of various industry-standard data processing techniques, we follow the appropriate steps to take in order to clean up a noisy E4 data signal, starting with supervised basis signals …

A Protocol For Using Long-Term Structural Health Monitoring Data To Detect And Localize Damage In Bridges, Kathryn Elaine Kaspar

Master's Theses and Capstones

The purpose of this research is to establish a protocol for using strain gauge data to characterize the undamaged state of a bridge for structural health monitoring. The Powder Mill Bridge (PMB), which has been instrumented with strain gauges since its opening in 2009, is used as a case study. and the strain gauges used in this study are located at 27 different locations throughout the bridge. Artificial neural networks (ANNs) and linear regression are presented as methodologies for characterizing the relationship between the strains at each of the stations on the bridge. One linear regression analysis was performed as …

Subject Matter Eligibility And Functional Claiming In Software Patents, Michael Xun Liu

North Carolina Journal of Law & Technology

Subject matter eligibility and functional claiming are considered separate doctrines in patent law. Conceptually, subject matter eligibility relates to the types of ideas that can be patented, whereas limits on functional claiming constrain how patentees can claim their inventions. In practice, however, patents that recite functional claims are also more likely to be invalidated for failing to recite patentable subject matter. This trend is especially prevalent in the software field, where courts often hold the function or end result of a computer program represents an unpatentable abstract idea.

Critics argue this judicial approach to software patents improperly conflates “what is …

Volcano Infrasound Monitoring With Applications For Statistical Forecasting Of Explosions At Sakurajima (Japan), Matthew R. Vonlintig

Boise State University Theses and Dissertations

Volcanic eruptions are powerful natural phenomena that often occur unpredictably in time and magnitude. Nearby communities are put at risk during volcanic unrest; however, when hazards are well understood and clearly defined risk can be mitigated. This thesis addresses the problem of forecasting the likelihood of future explosive volcanic behavior by monitoring ongoing eruptive history with infrasound. I parameterize inter-event temporal behavior to determine the eruption controlling processes is material failure opposed to changes in magma and volatile supply.

I analyze data from Sakurajima, a type-example open volcano, using two local (4 km from the vent) microphone arrays, which recorded …

Cross-Scale Interactions Between Atmospheric And Hydrologic Processes In A Topographically Complex, Snow-Dominated Watershed As Revealed Through An Integrated Hydrologic Model, Miguel A. Aguayo Arias

Boise State University Theses and Dissertations

In much of the world, water for agricultural, domestic, and hydroelectric power generation uses are derived from snow-dominated mountain basins. In these regions, water management requires accurate and timely knowledge of runoff generation by snowmelt. This information is used to plan reservoir releases for downstream users and is generated by models of biophysical processes associated with varying degrees of fidelity to physical processes and/or spatial heterogeneities. The large variability in the characteristic spatial and temporal scales of atmospheric forcings, land-surface water and energy balance, and groundwater flow contribute to significant uncertainties in resolved hydrologic states and fluxes. Underlying sources of …

Using Dna For Data Storage: Encoding And Decoding Algorithm Development, Kelsey Suyehira

Boise State University Theses and Dissertations

The recent explosion of digital data has created an increasing need for improved data storage architectures with the ability to store large amounts of data over extensive periods of time. DNA as a data storage solution shows promise with a thousand times greater increase in information density and information retention times ranging from hundreds to thousands of years. This thesis explores the challenges and potential approaches in developing an encoding and decoding algorithm for use in a DNA data storage architecture. When encoding binary data into sequences representing DNA strands, the algorithms should account for biological constraints representing the idiosyncrasies …

Pressure Waves And Tephra Dispersal From Volcanic Explosions: Models, Observations, And Instrumentation, Jacob Fortner Anderson

Boise State University Theses and Dissertations

Real-time study of erupting vents is important for both monitoring and scientific purposes; because direct in-situ study of erupting vents is impractical, our best tools for studying eruptions in real time involve monitoring eruptive products and waves that travel far from the volcano. The atmosphere is a particularly advantageous medium for studying propagation and transport of volcanic waves and products: acoustic waves pass through it with minimal scattering, particles follow predictable trajectories, and the atmospheric structure that affects both is well-monitored. Analyses of acoustic waves and tephra deposits can provide important information on eruptions including total explosive energy, volume, and …

Correlating The Spatial Distribution Of Snow Depth To Forest Canopy Parameters Derived From Terrestrial Laser Scans, Zachary Uhlmann

Boise State University Theses and Dissertations

In nonpolar, cold climate zones, snow accounts for 17% of the total terrestrial water storage. Estimating the amount of water stored in a snowpack, the snow water equivalent (SWE), and its spatial distribution is crucial to providing water managers with parameters to predict runoff timing, duration and amount. Reservoir management, hydropower and flood forecasting depend on SWE estimates. While landscape features such as aspect and slope are dominant controls on radiative energy in non-forested areas, forest cover can shift the energy balance composition from turbulent exchange in exposed, windy sites to primarily radiative inputs in the subcanopy. Additionally, forest cover …

Investigating The Annual Water Balance Of A High-Altitude Watershed Using Near-Real Time Lidar Data Integration Into A Physically Based Snowmelt Model, Andrew R. Hedrick

Boise State University Theses and Dissertations

Knowledge of the amount of water stored in the mountain snowpack is crucial for flood prevention, drought mitigation, and energy production in the Western United States. In modeling terms, the most important component of the hydrologic water balance is the precipitation input to the system. Determining where and how much precipitation falls in mountain catchments, however, is the most difficult problem with regards to closing the water balance. The work presented in this dissertation details the modeling portion of the NASA Airborne Snow Observatory (ASO) using the iSnobal physically based snow model. This combination of remote sensing and modeling at …

Stable Isotope Geochemistry Of Bioapatite, Amanda E. Drewicz

Boise State University Theses and Dissertations

The Cenozoic Era was a time period where dynamic shifts in climate created for both warm-wet greenhouse environments of the mid-Miocene Climatic Optimum (MMCO), and cool-dry, glacial periods of the late Pleistocene. The Cenozoic is close to our own time period, and although past climate reconstructions cannot be used as direct analogs for future climate change, understanding previous environmental responses can help inform policy surrounding future climate change. Presented here are climate reconstructions of the interior western United States, from two different geologic time periods. Each had a different climate, that differed greatly from modern day environments. The use of …

Post-Fire Variation In Aeolian Deposition In The Northern Great Basin, Clayton Roehner

Boise State University Theses and Dissertations

Aeolian processes play a significant role in the redistribution of sediment and nutrients in sparsely vegetated sagebrush-steppe ecosystems. When fire is introduced to the landscape, decreased surface roughness and associated threshold friction velocities allow for the increased mobility of surface sediments and burnt organic material, mobilizing previously stable material. Once material is entrained, interactions between a dynamic atmosphere and complex topography control the spatial distribution of aeolian deposition over a landscape. Given the significant impact of fire on aeolian processes in semi-arid deserts, we posit that postfire aeolian redistribution of material is an important control on the spatial variability of …

Evaluating Stable Isotope And Geochronologic Techniques For Paleoclimate Reconstruction: Case Study Of The Santa Cruz Formation, Argentina, Robin B. Trayler

Boise State University Theses and Dissertations

Stable isotope analysis has become the method of choice for many studies investigating the paleoecology and paleoclimate of fossil mammal faunas. While organic tissues (collagen, keratins, proteins) persist for < 10⁵ years highly mineralized tooth enamel is resistant to alteration and degradation and faithfully preserves its isotopic composition for millions (> 10⁶) years. Reconstructing past climates from these records relies on both understanding both micro-scale mechanisms of isotope incorporation into individual teeth, and macro-scale changes in isotope compositions over hundreds of thousands or millions of years. In this dissertation I address three questions.

First, how does the geometry and …