Open Access. Powered by Scholars. Published by Universities.®

Physical Sciences and Mathematics Commons™

Open Access. Powered by Scholars. Published by Universities.®

California Polytechnic State University, San Luis Obispo

Discipline
Keyword
Publication Year
Publication
Publication Type
File Type

Articles 571 - 600 of 2725

Full-Text Articles in Physical Sciences and Mathematics

Visualization Of Geospatial Data As An Analytical And Educational Tool, Richard A. Vu Aug 2018

Visualization Of Geospatial Data As An Analytical And Educational Tool, Richard A. Vu

STAR Program Research Presentations

World Wind is an open-source API developed for Java, Android, and browsers that is designed to visualize and interact with geospatial data. The Web World Wind client is composed of four major components: the HTML template, the globe, geospatial features, and application features. The template was implemented using Bootstrap and hosts the globe provided by World Wind. This globe draws its data from multiple imagery sources, including the Open Geospatial Consortium (OGC) Web Map Service and Web Map Tile Service. This enables the application to perform and visualize complex calculations with multiple types of data such as weather and terrain. …


Tof-Sims Analysis Of Plant Seed Interactions With Plant Growth-Promoting Bacteria, Tammy Pheuphong, Rachel Komorek, Xiao-Ying Yu Aug 2018

Tof-Sims Analysis Of Plant Seed Interactions With Plant Growth-Promoting Bacteria, Tammy Pheuphong, Rachel Komorek, Xiao-Ying Yu

STAR Program Research Presentations

The use of time-of-flight secondary ion mass spectrometry (ToF-SIMS) in plant biology is a relatively unexplored and quickly developing field. The majority of research in plant SIMS involves the application of ToF-SIMS to study dried wood tissues, and only a handful of studies apply SIMS on plant stems, roots, and/or seeds. Our project provides a brief description and review of previous work using SIMS on plant stems, roots, and/or seeds, along with an emphasis on the sample preparation in each study. Additionally, the use of Brachypodium distachyon (Brachypodium) as a model system for research on grasses has also become more …


Applications Of Diels-Alder Chemistry In Polymer Synthesis, Joshua C. Stambaugh, Philip J. Costanzo, Sierra E. Gosting Aug 2018

Applications Of Diels-Alder Chemistry In Polymer Synthesis, Joshua C. Stambaugh, Philip J. Costanzo, Sierra E. Gosting

STAR Program Research Presentations

Diels-Alder chemistry is utilized for a myriad of commercial applications during polymer synthesis, ranging from self-healing materials to heat responsive materials to emulsion coatings. In particular, the ability to regulate and control the amount and type of functional group linkages is key component for polymer applications. A common strategy that is employed is the use of phenolic maleimide as a dienophile during Diels-Alder synthesis to control the linkages on a polymer, which determines its properties and functionality. This summer was the beginning of a project to prepare a commercial scale, water-based emulsion floor coating/polish. The first step in this project …


Anisotropic Conductive Adhesives For Interdigitated Back Contact (Ibc) Silicon Solar Cells, Katherine M. Lohmuste, Manuel Schnabel, Maikel F.A.M. Van Hest Aug 2018

Anisotropic Conductive Adhesives For Interdigitated Back Contact (Ibc) Silicon Solar Cells, Katherine M. Lohmuste, Manuel Schnabel, Maikel F.A.M. Van Hest

STAR Program Research Presentations

The current manufacturing process for solar panels using interdigitated back contact (IBC) silicon solar cells involves a multi-step metallization and interconnection process in which a substantial amount of silver is used. This work focuses on a new process using conductive adhesives (CA) which would increase efficiency and lower cost through a one-step metallization and interconnection process that combines with encapsulation using little silver and only requiring metal patterning on the back sheet or back glass. It would also not require direct metallization of the silicon, which would result in fewer defects, while increasing voltage and therefore efficiency. Silver-coated Poly(Methyl Methacrylate) …


Can We Detect Undeclared Facilities In The Nuclear Fuel Cycle Using Mathematical Simulations?, Kassandra Guajardo, Lee Burke, Romarie Morales Rosado Aug 2018

Can We Detect Undeclared Facilities In The Nuclear Fuel Cycle Using Mathematical Simulations?, Kassandra Guajardo, Lee Burke, Romarie Morales Rosado

STAR Program Research Presentations

What if there was a way to detect undeclared (Clandestine) facilities using data sets from a nuclear facility? The Statistical Modeling and Experimental Design group at the Pacific Northwest National Laboratory are developing the Modeling and Inference for Remote Sensing (MIRS) model. The model uses two deterrence scenarios within the nuclear fuel cycle to detect undeclared facilities. The two scenarios are used in an agent based nuclear fuel cycle simulator to produce the declared and undeclared feed, tails assay, and sink inventory in kilograms of Uranium. In the first scenario, natural uranium is being diverted from the conversion plant to …


Breakpoint Analysis Of Modis Vegetarian Cover Change In Southern California Deserts, Rebecca Baiman Aug 2018

Breakpoint Analysis Of Modis Vegetarian Cover Change In Southern California Deserts, Rebecca Baiman

STAR Program Research Presentations

This study applies time series breakpoint analysis to look at Moderate Resolution Imaging Spectroradiometer (MODIS) data of southern California. Past studies have looked at this desert land using Landsat data in order to analyze any changes the environment has gone through due to renewable energy development or other factors. This study develops a method for utilizing structural change models to study the DRECP land area. Focusing on breakpoints, this study found that most positive breakpoints represented years with high rainfall. Additionally, sandy washes with little vegetation did not yield any breakpoint between 2000 and 2018. This study can be used …


Quantifying The Environmental Performance Of A Stream Habitat Improvement Project, Cody Morse Aug 2018

Quantifying The Environmental Performance Of A Stream Habitat Improvement Project, Cody Morse

Master's Theses

River restoration projects are being installed worldwide to rehabilitate degraded river habitat. Many of these projects focus on stream habitat improvement (SHI), and an estimated 60%of the 37,000 projects listed in the National River Restoration Science Synthesis Program focus on SHI for salmon and trout species. These projects frequently lack a sufficient monitoring program or account for the environmental costs associated with SHI. The present study used life cycle assessment (LCA) techniques and topographic effectiveness monitoring to quantify environmental costs on the basis of geomorphic change. This methodology was a novel approach to assessing the cost-benefit relationship of SHI. To …


Looking Toward The Future: The Value Of Geothermal Energy In The United States Power Market, Reilly R. Moran Aug 2018

Looking Toward The Future: The Value Of Geothermal Energy In The United States Power Market, Reilly R. Moran

STAR Program Research Presentations

States are creating renewable portfolio standards (RPSs) that require utilities to run off a certain percentage of renewables. With the new RPSs and current emission standards the dynamic of the grids energy and reliability needs are changing. Because RPSs and emission standards, utilities are procuring the cheapest renewable resources, which tend to be solar and wind. As RPSs increase over time this causes higher procurements of solar and wind. Higher procurement and increasing penetration levels of solar and wind is causing their energy values to decrease as well as some reliability concerns. While geothermal energy value will continue to stay …


Pnnl Dark Matter Bubble Chamber, Ryan Robinson Aug 2018

Pnnl Dark Matter Bubble Chamber, Ryan Robinson

STAR Program Research Presentations

The Pacific Northwest National Laboratory (PNNL) prototype bubble chamber is intended to address issues encountered with the current PICO dark matter search detectors and improve the functionality of future experimental designs. The PNNL bubble chamber accomplishes this with a simplified interface between the hydraulic pressure controls and the target vessel and altering the standard chamber design such that it can be easily exchanged and replaced with vessels of various sizes and materials for testing purposes. The chamber itself is a glass vessel which houses perfluorobutane and holds the target fluid above room temperature and atmospheric pressure. The target fluid becomes …


Column Tests Of Nitrate Breakthrough Behavior In Subsurface Sediments To Understand Transport In The Root-Zone, Rebecca Sally Haworth, Emma Rose Goodwin Jun 2018

Column Tests Of Nitrate Breakthrough Behavior In Subsurface Sediments To Understand Transport In The Root-Zone, Rebecca Sally Haworth, Emma Rose Goodwin

Natural Resources Management and Environmental Sciences

Nitrate has become an increasingly ubiquitous pollutant in surface and groundwater, posing a threat to hu- man health and ecosystems. Nitrogen is a necessary nutrient for plant growth and is limiting in many soils. As a result, farmers often add nitrogen to soil in a usable form such as nitrate, nitrite, or ammonia through the addition of fertilizer.


Cuoricino Thermal Pulse Classification By Machine Learning Algorithms, Joshua Mann Jun 2018

Cuoricino Thermal Pulse Classification By Machine Learning Algorithms, Joshua Mann

Physics

Many of the various properties of neutrinos are still a mystery. One unknown is whether neutrinos are Majorana fermions or Dirac fermions. Cuoricino and CUORE are experiments that aim to solve this mystery. Noise reduction in these experiments hinges on the ability to discern among alpha, beta and gamma particle detections using the thermal pulses they create. In this paper, we look at Cuoricino data and attempt to classify pulses, not as alpha, beta or gamma particles, but rather as signal, noise or calibration data. We will use this preliminary testing ground to examine various machine learning algorithms' abilities in …


Heavy Flavour In Jets And Azimuthal Correlations, Patrick J. Steffanic Jun 2018

Heavy Flavour In Jets And Azimuthal Correlations, Patrick J. Steffanic

Physics

We studied heavy-flavor azimuthal correlations using the semi-leptonic decay channel of hard-scattered bottom quarks in proton-proton collisions at center-of-mass energies of 7 TeV. We used a mixed-event method to produce a corrected correlation that hinted at back-to-back pair production. We further studied the jets resulting from these heavy-flavor hard scatterings, and jets resulting from light-flavor and gluon scattering. We compared several kinematic variables from each of the jet populations, concluding that novel kinematic variables must be developed in order to effectively separate the jet populations.


Deaddrop: Message Passing Without Metadata Leakage, Davis Mike Arndt Jun 2018

Deaddrop: Message Passing Without Metadata Leakage, Davis Mike Arndt

Computer Science and Software Engineering

Even when network data is encrypted, observers can make inferences about content based on collected metadata. DeadDrop is an exploratory API designed to protect the metadata of a conversation from both outside observers and the facilitating server. To do so, DeadDrop servers are passed no recipient address, instead relying upon the recipient to check for messages of their own volition. In addition, the recipient downloads a copy of every encrypted message on the server to prevent even the server from knowing to whom each message is intended. To these purposes, DeadDrop is mostly successful. However, it does not obscure all …


Finding Spanning Trees In Strongly Connected Graphs With Per-Vertex Degree Constraints, Samuel Benjamin Chase Jun 2018

Finding Spanning Trees In Strongly Connected Graphs With Per-Vertex Degree Constraints, Samuel Benjamin Chase

Computer Science and Software Engineering

In this project, I sought to develop and prove new algorithms to create spanning trees on general graphs with per-vertex degree constraints. This means that each vertex in the graph would have some additional value, a degree constraint d. For a spanning tree to be correct, every vertex vi in the spanning tree must have a degree exactly equal to a degree constraint di. This poses an additional constraint on what would otherwise be a trivial spanning tree problem. In this paper, two proofs related to my studies will be discussed and analyzed, leading to my algorithm …


Extractive Text Summarization With Deep Learning, Garrett G. Chan Jun 2018

Extractive Text Summarization With Deep Learning, Garrett G. Chan

Computer Engineering

This project explores extractive text summarization using the capabilities of Deep Learning. The goal of this project is to create an application with a neural network to take in text as its input, and create a summary that is a shorter, condensed version of the input text. This has been implemented in Python by configuring and training a neural network that takes in a vector of features that are extracted from the text using various Natural Language Processing libraries. The implementation demonstrates that we can train simple deep neural networks to successfully summarize text.


Raymarching The Mandelbulb Fractal In Vr, Timotheus Alexander Letz Jun 2018

Raymarching The Mandelbulb Fractal In Vr, Timotheus Alexander Letz

Computer Engineering

Elaborate 3D fractals, such as the mandelbulb, offer fascinating depths and structures that bear self-similarity as one zooms in closer and closer. Traditional rendering techniques focus on pre-rendering the fractal, to bypass the need for real-time display. To display and explore the mandelbulb in VR, this real-time display is needed, and can be provided through the use of “Raymarching”, a technique that allows for the rendering of scenes within the GPU. This paper explores various techniques and systems used to provide, augment, and accelerate this process.


Jupyterlab_Voyager: A Data Visualization Enhancement In Jupyterlab, Ji Zhang Jun 2018

Jupyterlab_Voyager: A Data Visualization Enhancement In Jupyterlab, Ji Zhang

Master's Theses

With the emergence of big data, scientific data analysis and visualization (DAV) tools are critical components of the data science software ecosystem; the usability of these tools is becoming extremely important to facilitate next-generation scientific discoveries. JupyterLab has been considered as one of the best polyglot, web-based, open-source data science tools. As the next phase of extensible interface for the classic iPython Notebooks, this tool supports interactive data science and scientific computing across multiple programming languages with great performances. Despite these advantages, previous heuristics evaluation studies have shown that JupyterLab has some significant flaws in the data visualization side. The …


Bird Abundance At Bird Feeders In Response To Temperature, Wind Speed And Precipitation During The Winter Season, Siddhant Kahal Jun 2018

Bird Abundance At Bird Feeders In Response To Temperature, Wind Speed And Precipitation During The Winter Season, Siddhant Kahal

Master's Theses

The goal of this project is to explore how 23 different bird species respond to 3 climatic attributes. These attributes are lower than average temperatures, wind speed and precipitation level. Information about the bird species and all of the data associated with them is provided by Project FeederWatch (PFW). This is a citizen based survey study that provides key information about bird species abundance through the use of backyard and community feeders. The study volunteers from across the United States and Canada monitor these bird feeders and note important information about the species such as the number of individuals seen. …


Acceleration Of Jaccard's Index Algorithm For Training To Tag Damage On Post-Earthquake Images, Kyle John Mulligan Jun 2018

Acceleration Of Jaccard's Index Algorithm For Training To Tag Damage On Post-Earthquake Images, Kyle John Mulligan

Master's Theses

There are currently different efforts to use Supervised Neural Networks (NN) to automatically label damages on images of above ground infrastructure (buildings made of concrete) taken after an earthquake. The goal of the supervised NN is to classify raw input data according to the patterns learned from an input training set. This input training data set is usually supplied by experts in the field, and in the case of this project, structural engineers carefully and mostly manually label these images for different types of damage. The level of expertise of the professionals labeling the training set varies widely, and some …


Topographic Maps: Image Processing And Path-Finding, Calin Washington Jun 2018

Topographic Maps: Image Processing And Path-Finding, Calin Washington

Master's Theses

Topographic maps are an invaluable tool for planning routes through unfamiliar terrain. However, accurately planning routes on topographic maps is a time- consuming and error-prone task. One factor is the difficulty of interpreting the map itself, which requires prior knowledge and practice. Another factor is the difficulty of making choices between possible routes that have different trade-offs between length and the terrain they traverse.

To alleviate these difficulties, this thesis presents a system to automate the process of finding routes on scanned images of topographic maps. The system allows users to select any two points on a topographic map and …


Funqual: User-Defined, Statically-Checked Call Graph Constraints In C++, Andrew P. Nelson Jun 2018

Funqual: User-Defined, Statically-Checked Call Graph Constraints In C++, Andrew P. Nelson

Master's Theses

Static analysis tools can aid programmers by reporting potential programming mistakes prior to the execution of a program. Funqual is a static analysis tool that reads C++17 code ``in the wild'' and checks that the function call graph follows a set of rules which can be defined by the user. This sort of analysis can help the programmer to avoid errors such as accidentally calling blocking functions in time-sensitive contexts or accidentally allocating memory in heap-sensitive environments. To accomplish this, we create a type system whereby functions can be given user-defined type qualifiers and where users can define their own …


Compiler Optimization Effects On Register Collisions, Jonathan S. Tan Jun 2018

Compiler Optimization Effects On Register Collisions, Jonathan S. Tan

Master's Theses

We often want a compiler to generate executable code that runs as fast as possible. One consideration toward this goal is to keep values in fast registers to limit the number of slower memory accesses that occur. When there are not enough physical registers available for use, values are ``spilled'' to the runtime stack. The need for spills is discovered during register allocation wherein values in use are mapped to physical registers. One factor in the efficacy of register allocation is the number of values in use at one time (register collisions). Register collision is affected by compiler optimizations that …


Field Investigation Of Stream-Aquifer Interactions: A Case Study In Coastal California, Devin Pritchard-Peterson Jun 2018

Field Investigation Of Stream-Aquifer Interactions: A Case Study In Coastal California, Devin Pritchard-Peterson

Master's Theses

This study is a detailed investigation of the dynamic interaction between a stream and an alluvial aquifer at Swanton Pacific Ranch in the Scotts Creek watershed in Santa Cruz County, California. The aquifer is an important source of groundwater for cropland irrigation and for aquatic ecosystem support. The potential for groundwater pumping to deplete Scotts Creek stream flows is a source of serious concern for land managers, fisheries biologists, and regulatory agencies due to the presence of federally protected steelhead trout (Oncorhynchus mykiss) and coho salmon (Oncorhynchus kisutch). An understanding of the interaction between the stream and pumped aquifer will …


Analyzing Global Cyber Attack Correlates Through An Open Database, Brady Benjamin Aiello Jun 2018

Analyzing Global Cyber Attack Correlates Through An Open Database, Brady Benjamin Aiello

Master's Theses

As humanity becomes more reliant on digital storage and communication for every aspect of life, cyber attacks pose a growing threat. However, cyber attacks are generally understood as individual incidents reported in technological circles, sometimes tied to a particular vulnerability. They are not generally understood through the macroscopic lens of statistical analysis spanning years over several countries and sectors, leaving researchers largely ignorant of the larger trends and correlates between attacks. This is large part due to the lack of a coherent and open database of prominent attacks. Most data about cyber attacks has been captured using a repository of …


Pseudo Power Law Statistics In A Jammed, Amorphous Solid, Jacob Brian Hass Jun 2018

Pseudo Power Law Statistics In A Jammed, Amorphous Solid, Jacob Brian Hass

Physics

Simulations have shown that in many solid materials, rearrangements within the solid obey power-law statistics. A connection has been proposed between these statistics and the ability of a system to reach a limit cycle under cyclic driving. We study experimentally a 2D jammed solid that reaches such a limit cycle. Our solid consists of microscopic plastic beads adsorbed at an oil-water interface and cyclically sheared by a magnetically driven needle. We track each particles trajectory in the solid to identify rearrangements. By associating particles both spatially and temporally, we can measure the extent of each rearrangement. We study specifically the …


The Effect Of Endgame Tablebases On Modern Chess Engines, Christopher D. Peterson Jun 2018

The Effect Of Endgame Tablebases On Modern Chess Engines, Christopher D. Peterson

Computer Engineering

Modern chess engines have the ability to augment their evaluation by using massive tables containing billions of positions and their memorized solutions. This report examines the importance of these tables to better understand the circumstances under which they should be used. The analysis conducted in this paper empirically examines differences in size and speed of memorized positions and their impacts on engine strength. Using this technique, situations where memorized tables improve play (and situations where they do not) are discovered.


Simulating The Electrical Properties Of Random Carbon Nanotube Networks Using A Simple Model Based On Percolation Theory, Roberto Abril Valenzuela Jun 2018

Simulating The Electrical Properties Of Random Carbon Nanotube Networks Using A Simple Model Based On Percolation Theory, Roberto Abril Valenzuela

Physics

Carbon nanotubes (CNTs) have been subject to extensive research towards their possible applications in the world of nanoelectronics. The interest in carbon nanotubes originates from their unique variety of properties useful in nanoelectronic devices. One key feature of carbon nanotubes is that the chiral angle at which they are rolled determines whether the tube is metallic or semiconducting. Of main interest to this project are devices containing a thin film of randomly arranged carbon nanotubes, known as carbon nanotube networks. The presence of semiconducting tubes in a CNT network can lead to a switching effect when the film is electro-statically …


Extension Of Cpe 454 Operating System, Joseph Nathaniel Arhar Jun 2018

Extension Of Cpe 454 Operating System, Joseph Nathaniel Arhar

Computer Science and Software Engineering

This project extended on the operating system I wrote in CPE 454 by adding additional features on top of the existing implementation. In order to implement them, I researched operating system design patterns and hardware details. I used wiki.osdev.org for most research, just like I did in CPE 454. The source code for the project is at https://github.com/josepharhar/jos.


Tectonic Controls On Alluvial Fan Dissection In The El Paso Mountains, Michael Thomas Gaffney Jun 2018

Tectonic Controls On Alluvial Fan Dissection In The El Paso Mountains, Michael Thomas Gaffney

Natural Resources Management and Environmental Sciences

The localized dissection of alluvial fans along the western El Paso Mountains is under question. A relatively minor, south dipping normal fault, previously unmentioned in scientific literature, cuts across Quaternary terraces and alluvial fans in the piedmont of the El Paso Mountains. The linear trend of footwall uplift and the pattern of stream incision into the footwall adjacent to the linear trend of footwall uplift reveal that fan dissection is a result of base level fall caused by ongoing tectonism along the El Paso fault system. The regional importance is discussed as the timing of faulting reveals relatively recent uplift …


Assembling And Characterizing The Efficiency Of An Injection Locked Laser System For Cold Neutral Atom Optical Traps, Alexandra Papa Crawford Jun 2018

Assembling And Characterizing The Efficiency Of An Injection Locked Laser System For Cold Neutral Atom Optical Traps, Alexandra Papa Crawford

Physics

Creating a quantum computer requires a system of particles that can be well-controlled to achieve quantum operations. We need a large array of these particles – called qubits – with long coherence times, which can be initialized, operated on by single and two qubit gates, and read out. For neutral atoms, the qubit states are stable ground states that interact minimally with the environment, leading to long coherence times. Experimentally, the qubits are manipulated using carefully timed laser beam pulses with controlled frequency and intensity, but the outstanding issue for optically trapping cold atoms is finding a light pattern that …