Open Access. Powered by Scholars. Published by Universities.®
Physical Sciences and Mathematics Commons™
Open Access. Powered by Scholars. Published by Universities.®
- Discipline
-
- Physics (922)
- Computer Sciences (788)
- Environmental Sciences (297)
- Mathematics (235)
- Engineering (227)
-
- Software Engineering (206)
- Chemistry (196)
- Earth Sciences (182)
- Statistics and Probability (180)
- Life Sciences (169)
- Artificial Intelligence and Robotics (116)
- Astrophysics and Astronomy (99)
- Graphics and Human Computer Interfaces (96)
- Soil Science (82)
- Other Computer Sciences (73)
- Biochemistry, Biophysics, and Structural Biology (70)
- Biochemistry (67)
- Polymer Chemistry (66)
- Social and Behavioral Sciences (63)
- Applied Statistics (59)
- Optics (58)
- Environmental Monitoring (57)
- Materials Chemistry (54)
- Other Physics (54)
- Sustainability (53)
- Computer Engineering (52)
- Applied Mathematics (49)
- Atomic, Molecular and Optical Physics (49)
- Electrical and Computer Engineering (49)
- Keyword
-
- Machine Learning (33)
- Galaxies (32)
- Statistics (25)
- Machine learning (23)
- Simulation (22)
-
- Physics (21)
- Seyfert (21)
- Education (18)
- Spr_stu (18)
- Quasars (17)
- Data (16)
- Agents (15)
- Deep Learning (15)
- Sustainability (15)
- Computer Vision (14)
- Spr_fac (14)
- Artificial Intelligence (13)
- AI (12)
- Active galactic nuclei (12)
- Ontology (12)
- Soil (12)
- California (11)
- Graphics (11)
- Information (11)
- Optics (11)
- Artificial intelligence (10)
- Astronomy (10)
- SOFIA (10)
- Supermassive black holes (10)
- Android (9)
- Publication
-
- Physics (884)
- Master's Theses (448)
- Computer Science and Software Engineering (341)
- STAR Program Research Presentations (191)
- Natural Resources Management and Environmental Sciences (141)
-
- Mathematics (123)
- Statistics (107)
- Collaborative Agent Design (CAD) Research Center (103)
- Chemistry and Biochemistry (60)
- Research Scholars in Residence (57)
- Earth and Soil Sciences (52)
- Computer Engineering (49)
- Master of Science in Environmental Sciences and Management Projects (35)
- College of Engineering Summer Undergraduate Research Program (25)
- Mechanical Engineering (11)
- Materials Engineering (10)
- Social Sciences (10)
- Liberal Arts and Engineering Studies (9)
- Electrical Engineering (8)
- Graphic Communication (8)
- Construction Management (6)
- Feminist Pedagogy (6)
- Agricultural Education and Communication (5)
- Office of the Provost Scholarship (4)
- Aerospace Engineering (3)
- Horticulture and Crop Science (3)
- Industrial Technology and Packaging (3)
- Animal Science (2)
- Architectural Engineering (2)
- Biological Sciences (2)
- Publication Type
- File Type
Articles 301 - 330 of 2725
Full-Text Articles in Physical Sciences and Mathematics
Artist-Configurable Node-Based Approach To Generate Procedural Brush Stroke Textures For Digital Painting, Keavon Chambers
Artist-Configurable Node-Based Approach To Generate Procedural Brush Stroke Textures For Digital Painting, Keavon Chambers
Master's Theses
Digital painting is the field of software designed to provide artists a virtual medium to emulate the experience and results of physical drawing. Several hardware and software components come together to form a whole workflow, ranging from the physical input devices, to the stroking process, to the texture content authorship. This thesis explores an artist-friendly approach to synthesize the textures that give life to digital brush strokes.
Most painting software provides a limited library of predefined brush textures. They aim to offer styles approximating physical media like paintbrushes, pencils, markers, and airbrushes. Often these are static bitmap textures that are …
Comparing Learned Representations Between Unpruned And Pruned Deep Convolutional Neural Networks, Parker Mitchell
Comparing Learned Representations Between Unpruned And Pruned Deep Convolutional Neural Networks, Parker Mitchell
Master's Theses
While deep neural networks have shown impressive performance in computer vision tasks, natural language processing, and other domains, the sizes and inference times of these models can often prevent them from being used on resource-constrained systems. Furthermore, as these networks grow larger in size and complexity, it can become even harder to understand the learned representations of the input data that these networks form through training. These issues of growing network size, increasing complexity and runtime, and ambiguity in the understanding of internal representations serve as guiding points for this work.
In this thesis, we create a neural network that …
Rasm: Compiling Racket To Webassembly, Grant Matejka
Rasm: Compiling Racket To Webassembly, Grant Matejka
Master's Theses
WebAssembly is an instruction set designed for a stack based virtual machine, with an emphasis on speed, portability and security. As the use cases for WebAssembly grow, so does the desire to target WebAssembly in compilation. In this thesis we present Rasm, a Racket to WebAssembly compiler that compiles a select subset of the top forms of the Racket programming language to WebAssembly. We also present our early findings in our work towards adding a WebAssembly backend to the Chez Scheme compiler that is the backend of Racket. We address initial concerns and roadblocks in adopting a WebAssembly backend and …
Exploring The Numerical Range Of Block Toeplitz Operators, Brooke Randell
Exploring The Numerical Range Of Block Toeplitz Operators, Brooke Randell
Master's Theses
We will explore the numerical range of the block Toeplitz operator with symbol function \(\phi(z)=A_0+zA_1\), where \(A_0, A_1 \in M_2(\mathbb{C})\). A full characterization of the numerical range of this operator proves to be quite difficult and so we will focus on characterizing the boundary of the related set, \(\{W(A_0+zA_1) : z \in \partial \mathbb{D}\}\), in a specific case. We will use the theory of envelopes to explore what the boundary looks like and we will use geometric arguments to explore the number of flat portions on the boundary. We will then make a conjecture as to the number of flat …
On The Numerical Range Of Compact Operators, Montserrat Dabkowski
On The Numerical Range Of Compact Operators, Montserrat Dabkowski
Master's Theses
One of the many characterizations of compact operators is as linear operators which
can be closely approximated by bounded finite rank operators (theorem 25). It is
well known that the numerical range of a bounded operator on a finite dimensional
Hilbert space is closed (theorem 54). In this thesis we explore how close to being
closed the numerical range of a compact operator is (theorem 56). We also describe
how limited the difference between the closure and the numerical range of a compact
operator can be (theorem 58). To aid in our exploration of the numerical range of
a compact …
Recreating Nasa Images Using Hubble Data: Two Populations Of Stars In Messier 5, Adam N. Looper
Recreating Nasa Images Using Hubble Data: Two Populations Of Stars In Messier 5, Adam N. Looper
Physics
This project seeks to recreate a color photo from NASA using Hubble data that shows the two distinct populations of stars in the cluster. Although the colored image displays the two types of stars, scientists often recolor astronomical pictures for two reasons: in order to clearly define objects, or to convert an image taken outside the visible spectrum into color. Thus, overlapping Hubble images colored according to filter should verify that there are two populations of stars in Messier 5, and the colored NASA photograph is valid in highlighting the unusual distribution of stars.
Quantum Key Distribution Simulation Using Entangled Bell States, Nayana Tiwari
Quantum Key Distribution Simulation Using Entangled Bell States, Nayana Tiwari
Physics
To communicate information securely, the sender and recipient of the information need to have a shared, secret key. Quantum key distribution (QKD) is a proposed method for this and takes advantage of the laws of quantum mechanics. The users, Alice and Bob, exchange quantum information in the form of entangled qubits over a quantum channel as well as exchanging measurement information over a classical channel. A successful QKD algorithm will ensure that when an eavesdropper has access to both the quantum and classical information channels, they cannot deduce the key, and they will be detected by the key generators. This …
Legislative Language For Success, Sanjana Gundala
Legislative Language For Success, Sanjana Gundala
Master's Theses
Legislative committee meetings are an integral part of the lawmaking process for local and state bills. The testimony presented during these meetings is a large factor in the outcome of the proposed bill. This research uses Natural Language Processing and Machine Learning techniques to analyze testimonies from California Legislative committee meetings from 2015-2016 in order to identify what aspects of a testimony makes it successful. A testimony is considered successful if the alignment of the testimony matches the bill outcome (alignment is "For" and the bill passes or alignment is "Against" and the bill fails). The process of finding what …
A Comparison Of Exotic And Pyraf In Analyzing Exoplanet Transits, Kailei A. Gallup
A Comparison Of Exotic And Pyraf In Analyzing Exoplanet Transits, Kailei A. Gallup
Physics
In this paper we discuss the data analysis processes using PyRaf, a Python-based version of IRAF, which is one of the most commonly used coding softwares in the astronomy community, as well as the analysis process using EXOTIC. Additionally, we will compare the outcomes from each process to determine if either has significant benefits over the other.
Developing A Data Acquisition System For Use In Cold Neutral Atom Traps, Jonathan E. Fuzaro Alencar
Developing A Data Acquisition System For Use In Cold Neutral Atom Traps, Jonathan E. Fuzaro Alencar
Physics
The rising interest in quantum computing has led to new quantum systems being developed and researched. Among these are trapped neutral atoms which have several desirable features and may be configured and operated on using lasers in an optical lattice. This work describes the development of a new data acquisition system for use in tuning lasers near the precise hyperfine transition frequencies of Rb 87 atoms, a crucial step in the functionality of a neutral atom trap. This improves on previous implementations that were deprecated and limited in laser frequency sweep range. Integration into the experiment was accomplished using an …
Developing A Miniature Smart Boat For Marine Research, Michael Isaac Eirinberg
Developing A Miniature Smart Boat For Marine Research, Michael Isaac Eirinberg
Computer Engineering
This project examines the development of a smart boat which could serve as a possible marine research apparatus. The smart boat consists of a miniature vessel containing a low-cost microcontroller to live stream a camera feed, GPS telemetry, and compass data through its own WiFi access point. The smart boat also has the potential for autonomous navigation. My project captivated the interest of several members of California Polytechnic State University, San Luis Obispo’s (Cal Poly SLO) Marine Science Department faculty, who proposed a variety of fascinating and valuable smart boat applications.
Maximum Trapping Focal Length In Photophoretic Trap For 3d Imaging Systems, Jason M. Childers
Maximum Trapping Focal Length In Photophoretic Trap For 3d Imaging Systems, Jason M. Childers
Electrical Engineering
This product is a photophoretic trapping system which allows varying focal lengths to test which focal lengths are possible for trapping toner particles. This system establishes that there exists a maximum trapping distance limitation and is the first time the effect of focal length is studied in a photophoretic trapping system. Increasing photophoretic trapping focal length is necessary for improving this technology as a 3D display. The 3D imaging technology is realized by dragging a microscopic (micrometer-scale) particles with a laser beam to trace an image. This technology can display fully colored and high-resolution 3D images visible from almost any …
Biomass Estimation Of Marine Biofilms On Plastic Surfaces, Kian Banihashemi, Fernando Javier Gil
Biomass Estimation Of Marine Biofilms On Plastic Surfaces, Kian Banihashemi, Fernando Javier Gil
Biological Sciences
Plastics have become a major source of marine pollution, which threatens food safety and quality, human health, and marine ecosystems. Due to the drastic negative effects of plastics in a marine environment, alternative biodegradable plastics are being generated that are more eco-friendly and have less environmental impact. Though some of these plastics are known to biodegrade, the process of degradation for bioplastics has not been heavily studied in a marine environment. This pilot project sought to both quantify the process of biodegradation and compare across different methods for effectiveness of biomass estimation, which serves as an indicator of biodegradation. Plastics …
An Investigation Into Crouzeix's Conjecture, Timothy T. Royston
An Investigation Into Crouzeix's Conjecture, Timothy T. Royston
Master's Theses
We will explore Crouzeix’s Conjecture, an upper bound on the norm of a matrix after the application of a polynomial involving the numerical range. More formally, Crouzeix’s Conjecture states that for any n × n matrix A and any polynomial p from C → C,
∥p(A)∥ ≤ 2 supz∈W (A) |p(z)|.
Where W (A) is a set in C related to A, and ∥·∥ is the matrix norm. We first discuss the conjecture, and prove the simple case when the matrix is normal. We then explore a proof for a class of matrices given by Daeshik Choi. We expand …
Dynamical Systems And Matching Symmetry In Beta-Expansions, Karl Zieber
Dynamical Systems And Matching Symmetry In Beta-Expansions, Karl Zieber
Master's Theses
Symbolic dynamics, and in particular β-expansions, are a ubiquitous tool in studying more complicated dynamical systems. Applications include number theory, fractals, information theory, and data storage.
In this thesis we will explore the basics of dynamical systems with a special focus on topological dynamics. We then examine symbolic dynamics and β-transformations through the lens of sequence spaces. We discuss observations from recent literature about how matching (the property that the itinerary of 0 and 1 coincide after some number of iterations) is linked to when Tβ,⍺ generates a subshift of finite type. We prove the set of ⍺ in …
Wildfire Risk Assessment Using Convolutional Neural Networks And Modis Climate Data, Sean F. Nesbit
Wildfire Risk Assessment Using Convolutional Neural Networks And Modis Climate Data, Sean F. Nesbit
Master's Theses
Wildfires burn millions of acres of land each year leading to the destruction of homes and wildland ecosystems while costing governments billions in funding. As climate change intensifies drought volatility across the Western United States, wildfires are likely to become increasingly severe. Wildfire risk assessment and hazard maps are currently employed by fire services, but can often be outdated. This paper introduces an image-based dataset using climate and wildfire data from NASA’s Moderate Resolution Imaging Spectroradiometer (MODIS). The dataset consists of 32 climate and topographical layers captured across 0.1 deg by 0.1 deg tiled regions in California and Nevada between …
A Network Analysis Of Covid-19 In The United States, Joseph C. Mcguire
A Network Analysis Of Covid-19 In The United States, Joseph C. Mcguire
Master's Theses
Through methods in network theory and time-series analysis, we will analyze the spread of COVID-19 in the United States by determining trends in state-by-state daily cases through a network construction. Previous researchers have found frameworks for approximating the spread of the COVID-19 pandemic and identifying potential rises in cases by a network construction based on correlation of cases between regions [1]. Applying this network construction we determine how this network and its structure act as a predictor for overall COVID-19 cases in the United States by preforming a trend analysis on a variety of network statistics and US COVID-19 cases.
An Introduction To Fröberg's Conjecture, Caroline Semmens
An Introduction To Fröberg's Conjecture, Caroline Semmens
Master's Theses
The goal of this thesis is to make Fröberg's conjecture more accessible to the average math graduate student by building up the necessary background material to understand specific examples where Fröberg's conjecture is true.
Out-Of-Core Gpu Path Tracing On Large Instanced Scenes Via Geometry Streaming, Jeremy Berchtold
Out-Of-Core Gpu Path Tracing On Large Instanced Scenes Via Geometry Streaming, Jeremy Berchtold
Master's Theses
We present a technique for out-of-core GPU path tracing of arbitrarily large scenes that is compatible with hardware-accelerated ray-tracing. Our technique improves upon previous works by subdividing the scene spatially into streamable chunks that are loaded using a priority system that maximizes ray throughput and minimizes GPU memory usage. This allows for arbitrarily large scaling of scene complexity. Our system required under 19 minutes to render a solid color version of Disney's Moana Island scene (39.3 million instances, 261.1 million unique quads, and 82.4 billion instanced quads at a resolution of 1024x429 and 1024spp on an RTX 5000 (24GB memory …
Effects Of Experimental Scale On The Adsorption Of Two Pharmaceutical Drugs Detected In Municipal Wastewater Effluent, Michael Moore
Effects Of Experimental Scale On The Adsorption Of Two Pharmaceutical Drugs Detected In Municipal Wastewater Effluent, Michael Moore
Master's Theses
Pharmaceutical drugs are being produced and consumed in increasing quantities every year and are poorly treated by conventional wastewater treatment processes, leading to increasing detection of such compounds in surface water, groundwater, and municipal drinking water. Soil aquifer treatment (SAT) is a promising method for treating these emerging compounds through combined adsorption and degradation of target compounds in soil. This thesis examines the consistency of results from typical studies like adsorption isotherms and soil columns utilized in analysis of SAT performance, across varying experimental scales. The adsorption behavior of two pharmaceuticals was investigated as a function of experimental scale and …
Unique Signed Minimal Wiring Diagrams And The Stanley-Reisner Correspondence, Vanessa Newsome-Slade
Unique Signed Minimal Wiring Diagrams And The Stanley-Reisner Correspondence, Vanessa Newsome-Slade
Master's Theses
Biological systems are commonly represented using networks consisting of interactions between various elements in the system. Reverse engineering, a method of mathematical modeling, is used to recover how the elements in the biological network are connected. These connections are encoded using wiring diagrams, which are directed graphs that describe how elements in a network affect one another. A signed wiring diagram provides additional information about the interactions between elements relating to activation and inhibition. Due to cost concerns, it is optimal to gain insight into biological networks with as few experiments and data as possible. Minimal wiring diagrams identify the …
Van Kampen Diagrams And Small Cancellation Theory, Kelsey N. Lowrey
Van Kampen Diagrams And Small Cancellation Theory, Kelsey N. Lowrey
Master's Theses
The Lick Agn Monitoring Project 2016: Dynamical Modeling Of Velocity-Resolved Hβ Lags In Luminous Seyfert Galaxies, Lizvette Villafaña, Peter R. Williams, Tommaso Treu, Brendon J. Brewer, Aaron J. Barth, Vivian U, Vardha N. Bennert, H. Alexander Vogler, Hengxiao Guo, Misty C. Bentz
The Lick Agn Monitoring Project 2016: Dynamical Modeling Of Velocity-Resolved Hβ Lags In Luminous Seyfert Galaxies, Lizvette Villafaña, Peter R. Williams, Tommaso Treu, Brendon J. Brewer, Aaron J. Barth, Vivian U, Vardha N. Bennert, H. Alexander Vogler, Hengxiao Guo, Misty C. Bentz
Physics
We have modeled the velocity-resolved reverberation response of the Hβ broad emission line in nine Seyfert 1 galaxies from the Lick Active Galactic Nucleus (AGN) Monitoring Project 2016 sample, drawing inferences on the geometry and structure of the low-ionization broad-line region (BLR) and the mass of the central supermassive black hole. Overall, we find that the Hβ BLR is generally a thick disk viewed at low to moderate inclination angles. We combine our sample with prior studies and investigate line-profile shape dependence, such as log₁₀(FWHM/σ), on BLR structure and kinematics and search for any BLR luminosity-dependent trends. We …
Automation Of The Transition Identification Procedure For Trapping Rubidium Atoms In A Magneto-Optical Trap, Michael P. Fletcher
Automation Of The Transition Identification Procedure For Trapping Rubidium Atoms In A Magneto-Optical Trap, Michael P. Fletcher
Physics
The words “quantum computer” often conjure images of science fiction and unrealistic technology from an impossible future. Some may even believe that they aren’t real or are only theoretical. The truth is that quantum computers are real, tangible systems with real life uses and rooted in credible scientific research. Today, many groups of scientists collaborate on research into better ways of implementing and improving quantum computing techniques. This paper will be addressing the systems required and phenomena used to achieve neutral atom trapping for quantum computation. This thesis will outline the physical phenomena involved with the frequency tuning process for …
Electrochromic Windows: Return On Investment Analysis, Thomas Michael Caprio
Electrochromic Windows: Return On Investment Analysis, Thomas Michael Caprio
Construction Management
In recent years, sustainability in construction has become a topic of undeniable interest. With sustainability certifications becoming more prominent and desirable, members of the construction industry have begun to seek alternatives for standard systems to keep up with market trends. One of the main issues that the construction industry faces is accessibility of technology. While there are new products and technologies being released frequently, members of the construction industry lack knowledge on the specific details and implications of working with newer systems. One piece of technology that was recently introduced is electrochromic glass, or smart glass. Electrochromic windows analyze sunlight …
One-Dimensional Array Of Optical Dark Spot Traps From Nested Gaussian Laser Beams For Quantum Computing, Katharina Gillen-Christandl, Travis Daniel Frazer
One-Dimensional Array Of Optical Dark Spot Traps From Nested Gaussian Laser Beams For Quantum Computing, Katharina Gillen-Christandl, Travis Daniel Frazer
Physics
Quantum computing is rapidly becoming a practical technology, driven by new and advanced quantum systems, each with its own advantages and disadvantages. For neutral atoms as a host system, the natural advantage of long lifetimes is limited by decoherence mechanisms like light scattering. In this work, we computationally investigate a blue-detuned one-dimensional optical dipole trap array to reduce light scattering by holding atoms in minimum light intensity regions. The array consists of two counter-propagating Gaussian beams of differing widths, such that light walls from the larger beam radially confine the standing wave generating the dipole traps. We find this system …
Energy Analysis For Neutron Induced Ternary Fission Events In The Niffte Fission Time Projection Chamber, Vanessa Aguilar
Energy Analysis For Neutron Induced Ternary Fission Events In The Niffte Fission Time Projection Chamber, Vanessa Aguilar
Physics
In this paper, energy analyses were made for investigating ternary fission in neutron-induced fission of U235 and U238 using the Neutron Induced Fission Fragment Tracking Experiment (NIFFTE) collaboration’s fission time projection chamber (TPC) data. The Neutron kinetic energy was calculated from neutron time of flight (nToF) for energy ranges of 0.1 to 32 MeV. Along with this, the Stopping and Range of Ions in Matter (SRIM) software was used to simulate alphas going through an argon gas target in order to calibrate observed energy loss of alphas from ternary fission.
One‑Dimensional Arrays Of Optical Dark Spot Traps From Nested Gaussian Laser Beams For Quantum Computing, Travis Frazer, Katharina Gillen
One‑Dimensional Arrays Of Optical Dark Spot Traps From Nested Gaussian Laser Beams For Quantum Computing, Travis Frazer, Katharina Gillen
Physics
Quantum computing is rapidly becoming a practical technology, driven by new and advanced quantum systems, each with its own advantages and disadvantages. For neutral atoms as a host system, the natural advantage of long lifetimes is limited by decoherence mechanisms like light scattering. In this work, we computationally investigate a blue-detuned one-dimensional optical dipole trap array to reduce light scattering by holding atoms in minimum light intensity regions. The array consists of two counter-propagating Gaussian beams of differing widths, such that light walls from the larger beam radially confine the standing wave generating the dipole traps. We find this system …
Memory Capacity In A System Of Swelling Particles, David T. Keating
Memory Capacity In A System Of Swelling Particles, David T. Keating
Physics
A system has the ability to store memory if one is able to write, retrieve, and erase information from it. Some systems are capable of storing multiple transient memories; with no noise in these systems, at long time, the memories degrade until one or two remain. The addition of noise to these systems can extend the retention of multiple memories, in some cases indefinitely [2, 3]. While this behavior was first observed in simulations of charge density waves, it has since appeared in other systems [1].
Past research has shown that sheared non-Brownian liquid suspensions of particles exhibit similar behavior …
An Optimization Model For Minimization Of Systemic Risk In Financial Portfolios, Zachary Alexander Gelber
An Optimization Model For Minimization Of Systemic Risk In Financial Portfolios, Zachary Alexander Gelber
Master's Theses
In this thesis, we study how sovereign credit default swaps are able to measure systemic risk as well as how they can be used to construct optimal portfolios to minimize risk. We define the clustering coefficient as a proxy for systemic risk and design an optimization problem with the goal of minimizing the mean absolute deviation of the clustering coefficient on a group of nine European countries. Additionally, we define a metric we call the diversity score that measures the diversification of any given portfolio. We solve this problem for a baseline set of parameters, then spend the remainder of …