Physical Sciences and Mathematics Commons^™

Exploring The Shift In Player Enthusiasm Towards Games, David Daniel

ART 108: Introduction to Games Studies

Video games, providing a constant source of excitement have been an integral part of the lives of many enthusiasts, helping shape childhoods and providing a source of entertainment and social interaction between friends and strangers. From the joy of unboxing the Wii with siblings back in the day, all the way to playing multiplayer battle royales and among us with our friends over the pandemic, the gaming platform has been an ever changing and dynamic experience. However, with time, a noticeable split emerged among peers who once shared the same joy of running home and putting on the headset. Some …

An Analysis Of The Debate And How It Changed Everything: Narratology Vs. Ludology, Robert Veloya

ART 108: Introduction to Games Studies

Video games will rot your brain. Something that people have told us during its inception into the modern world; however, little did they know that the video game industry will one day take its place in the world as one of the best mediums to tell a story and challenge its audience. The video game industry is an ever-growing industry where innovation flows through its veins causing it to grow into a field that is more immersive and compelling. Video games have also evolved into a field of study, a discipline that dives deep into what makes them a unique …

From Pong To Narrative: The Evolution Of Ai In Gaming, Muhammad Assaf

ART 108: Introduction to Games Studies

As video games evolve, the role of artificial intelligence also referred to as AI has been essential. Games have come a long way from being small and having rudimentary logic to being extremely complex and narrative-driven. This research paper will dive into the vast history of AI in gaming, following its path from the simple ball-paddle mechanics of Pong, to the intricate entanglements presented in modern games such as Fortnite, Call of Duty, League of Legends, and more. The interplay between game design and AI development doesn’t just show how far we have come in technological advancement, but rather it …

Influence Of Pavement Conditions On Commercial Motor Vehicle Crashes, Stephen Arhin, Babin Manandhar, Adam Gatiba

Mineta Transportation Institute Publications

Commercial motor vehicle (CMV) safety is a major concern in the United States, including the District of Columbia (DC), where CMVs make up 15% of traffic. This research uses a comprehensive approach, combining statistical analysis and machine learning techniques, to investigate the impact of road pavement conditions on CMV accidents. The study integrates traffic crash data from the Traffic Accident Reporting and Analysis Systems Version 2.0 (TARAS2) database with pavement condition data provided by the District Department of Transportation (DDOT). Data spanning from 2016 to 2020 was collected and analyzed, focusing on CMV routes in DC. The analysis employs binary …

Examining The Externalities Of Highway Capacity Expansions In California: An Analysis Of Land Use And Land Cover (Lulc) Using Remote Sensing Technology, Serena E. Alexander, Bo Yang, Owen Hussey, Derek Hicks

Mineta Transportation Institute Publications

There are over 590,000 bridges dispersed across the roadway network that stretches across the United States alone. Each bridge with a length of 20 feet or greater must be inspected at least once every 24 months, according to the Federal Highway Act (FHWA) of 1968. This research developed an artificial intelligence (AI)-based framework for bridge and road inspection using drones with multiple sensors collecting capabilities. It is not sufficient to conduct inspections of bridges and roads using cameras alone, so the research team utilized an infrared (IR) camera along with a high-resolution optical camera. In many instances, the IR camera …

What You Don't See: The Impact Of Hidden Game Mechanics On Players, Jan Virsunen

ART 108: Introduction to Games Studies

Since the rise of technology in the early nineteen sixties the art of gaming became an increasingly popular form of entertainment for many people throughout the years. As time progressed so did the advancements in technology which allowed for video games to become more immersive, captivating, and complex. Due to these advancements in tech, it generated a wide variety of ways for developers to increase game complexities. However, as the complexity of video games has increased, so too has the number of hidden game mechanics. These game mechanics are seen as the underlying systems and rules that govern how the …

A Gravity Model Integrating Land-Use And Transportation Policies For Sustainable Development: Case Study Of Fresno, California, Chih-Hao Wang, Na Chen

Mineta Transportation Institute Publications

The idea of urban compaction has been long proposed and promoted to address the problem of urban sprawl in many American cities. However, there are still rare successful cases of such implementation in the United States. This study uses a classic gravity model, TELEM (Transpiration, Economic, and Land-Use Model) to examine to what extent a land-use or transportation policy must be regulated to make the urban compaction occur in a typical auto-dependent city—Fresno, California. Five scenarios are considered (BL, L1, L2, T1, and T2), in which the baseline (BL) is a natural growth scenario. Without any policy interventions, the city …

Melt Inclusion Record Of Submarine Caldera Formation On Axial Seamount, Juan De Fuca Ridge, Destiny Kapule

Master's Theses

This study contributes to understanding magmatic processes and the plumbing system of submarine volcanoes before, during, and after caldera formation with the use of melt inclusions (MIs). Major, trace and volatile geochemistry from both olivine and plagioclase-hosted MIs taken from volcaniclastic deposits around Axial Seamount reveal information about the storage conditions, ascent rates and eruption styles of magmas. Magma crystallizes in the subsurface, capturing MIs, and ascends where some host glasses may interact with seawater during eruption. Oversaturation in volatiles and low vesicularity show quick ascent rates. By analyzing chemical data within a pre-existing stratigraphic context this study can assess …

Impacts Of Synoptic-Scale Dynamics On Cloud Properties And Radiation In High Southern Latitudes, Tyler R. Barone

Master's Theses

Predicting future climate change relies on accurate representations of the earth’s surface radiation budget. Complex interactions between large-scale dynamical conditions (e.g., low-pressure systems) and microscale processes (e.g., cloud properties) are key contributors to energy budget biases within global climate models. Proper estimation of cloud microscale processes and their responses to synoptic-scale dynamics will greatly improve the accuracy of the simulated energy balance within global climate models. High-latitudinal clouds have significant influences on the Earth’s radiative balance. We examined observations from two field campaigns at Macquarie Island in the Southern Ocean and McMurdo Station in Antarctica. Two global climate models are …

Daily Synoptic-Scale Influences On Weather-Dependent Renewable Energy Supply And Demand In Hypothetical Fully Electrified North American Interconnections, Howard Tang

Master's Theses

Energy grids around the world are becoming increasingly penetrated by renewable energy sources, resulting in progressively variable energy generation. This study aims to provide a fundamental basis for observing atmospheric conditions in relation to weather-dependent renewable energy supply, where daily synoptic-scale influences are considered in hypothetical fully electrified North American interconnections. Three renewable energy types – 100% wind energy, 100% solar energy, and a 50-50 split of wind and solar energy – are scaled to meet weather-driven energy demand on average in three interconnections, namely the Western Interconnection, the Eastern Interconnection, and a hypothetical combined interconnection composed of the Western, …

Structure, Construction, And Emplacement Of The Northern Margin Of The Late Cretaceous Sonora Pass Intrusive Suite: North-Central Sierra Nevada Batholith, California, Victoria A. Arnold

Master's Theses

Of the four voluminous, normally zoned Late Cretaceous intrusive suites of the Sierra Nevada batholith, the >1,000 km², ~96-88 Ma Sonora Pass intrusive suite is the oldest, northernmost, and least studied. It contains the marginal, equigranular Kinney Lakes hornblende-biotite granodiorite and the inner, porphyritic Topaz Lake biotite granodiorite. From this research, the Lake Alpine granodiorite is now considered the outermost part of the Sonora Pass intrusive suite. The suite intruded Early Cretaceous plutons and metasedimentary rocks. The Kinney Lakes and Lake Alpine granodiorites were constructed by multiple phases, as were the plutonic host rocks. The granodiorites are marked by schlieren …

Spatiotemporal Dynamics And Biogeochemical Responses In A Tidally Restricted Moro Cojo Slough, Ryan Chiu

Master's Theses

Four years of observational data for Moro Cojo Slough (MCS), a Mediterranean climate estuary in central California, linked anthropogenic nutrient loading and hydrological modifications to a shift in net ecosystem metabolism (NEM) that differs from the characteristic net heterotrophic behavior of most estuarine systems. A lack of precipitation and limited flushing during the dry seasons, as evidenced from hypersaline waters, contribute to high ecosystem respiration rates that drove NEM to nearly balanced or net autotrophic. During the wet seasons, increased runoff and nutrient loading due to precipitation elevated primary production rates within MCS, characterizing the system as net autotrophic. Box …

Evaluating The Effect Of Resveratrol On Sirt1 With Different Peptide Substrates, Yujin Hur

Master's Theses

SIRT1 is an NAD+-dependent lysine deacetylase that is involved in many important cellular pathways. The protein has an extended N-terminal domain that seems to play a role in regulating its activity. Sirtuin Activating Compounds (STACs) are allosteric activators, such as resveratrol, that regulate the activity of SIRT1. STACs bind to the N-terminal STAC Binding Domain (SBD) in SIRT1. Past literature has found that SIRT1 activity can be increased, decreased, or remain unchanged by resveratrol depending on the identity of the peptide substrate. The goal of this study is to clarify the mechanism for substrate-specific allosteric regulation by resveratrol. The interactions …

Quantum Mechanics And Dynamical Models For Finite Unlabeled Simple Graphs, Nathan M. Lewis

Master's Theses

This thesis constructs quantum mechanical theories of finite simple graphs for both labeled and unlabeled graphs.These theories may provide a description for discrete spacetime in a quantum gravity theory. Finite simple graphs and their properties are introduced. The first and second quantization of the standard quantum mechanics of particle systems are reviewed. A quantum mechanical theory of graphs similar to first quantization of standard quantum mechanics is developed via a correspondence of graph edges to particles in particle systems. An algorithm for constructing quantum states of graphs which is independent of graph vertex labeling is developed. It builds antisymmetric graphstates …

Characterization And Evaluation Of Catalytic Activity Of Small Molecule Copper Complexes For Metallopolymer Design, Brenda Lu

Master's Theses

Catalysis is one of the driving forces in designing greener chemical processes for essential real-world applications. Enzymes, Nature’s catalysts, are known for their high selectivity, use of readily available metals and reagents, and ability to work under physiological conditions; three important qualities that synthetic chemists would like to mimic in their small molecule metal catalysts. Though most small molecule metal catalysts fall short of enzyme-like activity, we hypothesize that using a polymer scaffold as a secondary coordination sphere mimic around the metal complex will affect the microenvironment (steric and electronic) and enable enzyme-like activity. Previously, we synthesized ligand precursors and …

Optimizing Soluble Recombinant Expression Of The Aedes Aegypti Early Trypsin Protease, Neomi Millan

Master's Theses

The female Aedes aegypti mosquito is a primary vector for the transmission of blood–borne viral pathogens such as Chikungunya, Zika, Yellow Fever, and Dengue. The female mosquito will become infected with these pathogens through the uptake of a blood meal from an infected host. The midgut digestive enzymes are required to digest the blood meal to obtain necessary nutrients needed for the completion of the gonotrophic cycle. Blood meal digestion is biphasic and digestive enzymes are expressed at different time points after uptake of a blood meal. The focus of this study is on an early phase protease known as …

Single Chain Nanoparticles As Synthetic Enzyme Mimics, Tony Mo

Master's Theses

Enzymes, nature’s catalysts, are a crucial component in biological reactions because they help lower the activation energy and speed up these reactions. They display impressive selectivity, catalytic activity, and specificity. However, they can be difficult to produce synthetically, especially on a large scale, and they are not suitable for all reactions for which synthetic catalysts are needed. Metalloenzymes contain a transition metal active site inside the primary coordination sphere (PCS) (ligands directly bound to the metal) that is surrounded by a secondary coordination sphere (SCS) (made up of more distant amino acids) which provides steric bulk and intramolecular interactions between …

Bosons In Anti De Sitter Spacetime, Thi Khanh Linh Pham

Master's Theses

I am extremely grateful to Dr. Kassahun Betre for his support and guidance throughout my thesis journey. His wisdom, knowledge, and encouragement have been invaluable to me. His willingness to take me on making this project and the collaborative friendship is the highlight of my master’s program. Many thanks to Dr. Curtis Asplund and Dr. Ehsan Khatami for participating on my committee and with regard to their valuable feedback on my thesis draft, ensuring the completion of this work. Finally, I am grateful to my family for their unwavering love and all the support and absolute patience over the years …

Vehicle-Based Disconnected Data Distribution, Aditya Singhania

Master's Projects

The world today is highly connected and there is an immense dependency on this connectivity to accomplish basic everyday tasks. However much of the world lacks connectivity. Even in well-connected locations, natural disasters can cause infrastructure disruption. To combat these situations, Delay Tolerant Networks

(DTNs) employ to store and forward techniques along with intermittently connected transports to provide data connectivity. DTNs focus on intermittently connected networks however what if the regions are never connected? For example, Region A - is never connected to the internet, and Region B – has internet connectivity. Using a vehicle that travels between the two …

Spartanscript: New Language Design For Smart Contracts, Ajinkya Lakade

Master's Projects

Smart contracts have become a crucial element for developing decentralized applications on blockchain, resulting in numerous innovative projects on blockchain networks. Ethereum has played a significant role in this space by providing a high-performance Ethereum virtual machine, enabling the creation of several high- level programming languages that can run on the Ethereum blockchain. Despite its usefulness, the Ethereum Virtual Machine has been prone to security vulnerabilities that can result in developers succumbing to common pitfalls which are otherwise safeguarded by modern virtual machines used in programming languages. The project aims to introduce a new interpreted scripting programming language that closely …

Quantifying Bromocarbon Emissions From Seaweed Aquaculture In California, Jessica C. Metter

Master's Theses

Feeding ruminant livestock seaweed rich in bromoform (CHBr3) is an emerging strategy to reduce methane emissions from the livestock sector to meet climate targets. Consequently, there is a strong interest in farming bromoform rich seaweeds (e.g., Asparagopsis taxiformis) on a large scale which may impact the atmospheric inventory of bromine and in return induce catalytic ozone destruction. However, to date, only three studies have measured bromoform emission rates from Asparagopsis seaweeds which vary by order of magnitude. To fill this gap, the most comprehensive data set of bromocarbon emissions from A. taxiformis, a leading candidate for enteric methane reduction in …

Cirrus Microphysical Properties And The Controlling Factors Using A Machine Learning Approach, Derek D. Ngo

Master's Theses

Cirrus clouds are located at high altitudes and are composed of ice crystals. The unique location of cirrus clouds and their large variability in-cloud microphysical properties allow them to have either warming or cooling effects on Earth’s surface and affect the Earth’s energy budget on a global scale. The examination of cirrus radiative effects is further complicated by multiple factors affecting their formation and evolution, including the effects of thermodynamic, dynamic, aerosol, and chemical tracer variables. In this work, we developed a composite aircraft-based in-situ observation dataset based on seven National Science Foundation (NSF) and five NASA flight campaigns that …

Cloud Phase Distribution At A Global-Scale And The Governing Factors Using Satellite And In-Situ Airborne Observations, Dao Wang

Master's Theses

Cloud thermodynamic phase distributions play a crucial role in accurately representing cloud radiative effects and feedback in a changing climate. The partitioning of cloud thermodynamic phases (ice, liquid, and mixed phase) significantly influences Earth's surface temperature and its ability to mitigate the impact of global warming. Satellite-based cloud phase data are frequently used for the evaluation of global climate models, yet validation of them against in-situ observations is still lacking. This study examines global cloud phase distributions and their determinant factors by validating three satellite-based cloud phase products against an extensive in-situ airborne dataset. CALIPSO exhibits the most similar ice …

A Data Delivery Mechanism For Disconnected Mobile Applications, Shashank Hegde

Master's Projects

Previous attempts to bring the data of the internet to environments that do not have continuous connectivity to the internet have made use of special hardware which requires additional expenditure on installation. We will develop a software-based infrastructure running on existing Android smartphones to exchange application data between a disconnected user’s phone and corresponding application servers on the internet. The goal of this project is to implement client and server modules for this infrastructure to run on a disconnected phone and the internet respectively. These modules will multiplex application data to be sent into packages and distribute the data present …

Automated Evaluation For Distributed System Assignments, Nimesh Nischal

Master's Projects

A distributed system can exist in numerous states, including many erroneous permutations that could have been addressed in the code. As distributed systems such as cloud computing and microservices gain popularity, involving distributed com- puting assignments is becoming increasingly crucial in Computer Science and related fields. However, designing such systems poses various challenges, such as considering parallel executions, error-inducing edge cases, and interactions with external systems. Typically, distributed assignments require students to implement a system and run multiple instances of the same code to behave as distributed. However, such assign- ments do not encourage students to consider the potential edge …

Machine Learning-Based Anomaly Detection In Cloud Virtual Machine Resource Usage, Tarun Mourya Satveli

Master's Projects

Anomaly detection is an important activity in cloud computing systems because it aids in the identification of odd behaviours or actions that may result in software glitch, security breaches, and performance difficulties. Detecting aberrant resource utilization trends in virtual machines is a typical application of anomaly detection in cloud computing (VMs). Currently, the most serious cyber threat is distributed denial-of-service attacks. The afflicted server's resources and internet traffic resources, such as bandwidth and buffer size, are slowed down by restricting the server's capacity to give resources to legitimate customers.

To recognize attacks and common occurrences, machine learning techniques such as …

Web Traffic Time Series Forecasting, Summanth Redde Mulkkalla

Master's Projects

Online web traffic forecasting is one of the most crucial elements of maintaining and improving websites and digital platforms. Traffic patterns usually predict future online traffic, including page views, unique visitors, session duration, and bounce rates. However, it is challenging to forecast non-stationary online web traffic, particularly when the data has spikes or irregular patterns. This non-stationary property demands a more advanced forecasting technique. In this study, we provide a neural networkbased method, Spiking Neural Networks (SNNs), for dealing with the data spikes and irregular patterns in non-stationary data. In our study, we compared the forecasting results of SNNs with …

Dynamic Predictions Of Thermal Heating And Cooling Of Silicon Wafer, Hitesh Kumar

Master's Projects

Neural Networks are now emerging in every industry. All the industries are trying their best to exploit the benefits of neural networks and deep learning to make predictions or simulate their ongoing process with the use of their generated data. The purpose of this report is to study the heating pattern of a silicon wafer and make predictions using various machine learning techniques. The heating of the silicon wafer involves various factors ranging from number of lamps, wafer properties and points taken in consideration to capture the heating temperature. This process involves dynamic inputs which facilitates the heating of the …

Gender Classification Via Human Joints Using Convolutional Neural Network, Cheng-En Sung

Master's Projects

With the growing demand for gender-related data on diverse applications, including security systems for ascertaining an individual’s identity for border crossing, as well as marketing purposes of digging the potential customer and tailoring special discounts for them, gender classification has become an essential task within the field of computer vision and deep learning. There has been extensive research conducted on classifying human gender using facial expression, exterior appearance (e.g., hair, clothes), or gait movement. However, within the scope of our research, none have specifically focused gender classification on two-dimensional body joints. Knowing this, we believe that a new prediction pipeline …

Security And Routing In A Disconnected Delay Tolerant Network, Anirudh Kariyatil Chandakara

Master's Projects

Providing internet access in disaster-affected areas where there is little to no internet connectivity is extremely difficult. This paper proposes an architecture that utilizes existing hardware and mobile applications to enable users to access the Internet while maintaining a high level of security. The system comprises a client application, a transport application, and a server running on the cloud. The client combines data from all supported applications into a single bundle, which is encrypted using an end-to-end encryption technique and sent to the transport. The transport physically moves the bundles to a connected area and forwards them to the server. …