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Creator | Title | Description | Subject | Date |
1 |
 | Sivo, Jacob | Agile in the Wild - An in-Depth look into EAE Student Development Practice | There have been works produced on Agile techniques and their e#11;ectiveness in terms of both actual project progress as well as human factors, especially in industry. There are many training programs that companies enroll their employees in, such as ASPE. In these training programs, individuals are... | | 2019 |
2 |
 | Green, Jared | Algebraic reconstruction optimization through precomputation of weights matrix | There are several methods for volumetric scene analysis. This research focuses on real-time optimization of the ray-driven projector for forward and backward projections in the application of medical x-ray imaging. One of the current methods used by Computed Tomography systems to produce 3D medical ... | | 2021 |
3 |
 | Meier, John E. | An evaluation of the quality of contemporary ray tracing methods on architectural materials | Predictive computer graphics can be used to visualize the appearance of an object or scene from a virtual design. A seminal experiment in that field was performed in 1984 to evaluate the perceptual quality of computer graphics images with a physical model of the scene. The original study was limited... | Ray tracing algorithms | 2009-05 |
4 |
 | Campbell, Andrew | Asynchronous distributed }OT-Enabled customer characterization in distrubtion networks: theory and hardware implementation | This work proposes and implements an asynchronous distributed IoT (Internet of Things)-enabled customer characterization framework to classify customers' load consumption behaviors in electric distribution networks. More specifically, the proposed framework enables robust fully distributed clusterin... | asynchronous | 2021 |
5 |
 | Best, Emily | Babysteps: reflection on launching a mobile APP | BabySteps is a mobile application designed for newborn caregivers. It helps parents, grandparents, nannies, and other members of a newborn's "village" stay organized and updated on the child's development. It was developed by a team of four computer scientists as their Senior Capstone Project. We id... | development | 2024 |
6 |
 | Eccles, Patrick Nolan | The cabal reflection: a post mortem of an entertainment arts and engineering capstone project | This document will serve as Patrick Eccles' Honors Thesis at the University of Utah and will reflect upon the process and result of his and his team members' senior project within the Entertainment Arts and Engineering program: the 3D Puzzle Platformer A Divided Light . On the senior project team, P... | computer games; design; cabal process | 2015-08 |
7 |
 | Geary, Thatcher | Chop-sat in NON-Euclidean Geometry | This study explores methods of applying Non-Euclidean Geometry to the Boolean Satisfiability Problem (SAT). When presented with a knowledge base in Conjunctive Normal Form (CNF) with n atoms, it can be represented as an n-dimensional hypercube, where each corner corresponds to a unique combination o... | | 2024 |
8 |
 | Perez, Yerry | Cita a matchmaking mobile app: an analysis of why developers choose certain frameworks | Software developers have an array of tools to help them create new technologies. Therefore, it is important that they distinguish which tools are right for the task they are trying to complete. As time progresses new tools for developers emerge and some gain popularity faster than others. This thesi... | | 2021 |
9 |
 | Redman, Simon | Critical Reroute | Due to network failure, underprovisioning, or temporary unanticipated increases in traffic, networks may become overloaded. In such situations, it may be desirable to prioritize some traffic flows over others, such as for public safety applications or priority customers. Solutions such as priority q... | | 2018 |
10 |
 | Bracken, Kallie | Defining learning: mystifying machine learning as a powerful tool in a data-driven world | Until recently, the driving paradigm in software engineering has been to design applications for a predefined set of tasks. This approach, however, is quickly being dwarfed by data-driven applications which are designed to use knowledge and understanding to decide how they can best fulfill use... | Machine learning - Case studies; Machine learning - Study and Teaching; Machine Learning - Technique | 2016-04 |
11 |
 | Linnebach, Shawn Michael III | Designing a large scale software application: the Histia Story | When designing a large-scale software system there are many aspects of software design that go into making a successful final product. This document seeks to give insight into the software design process, using my capstone project, Hestia, as a case study. Hestia is an all-encompassing household man... | | 2021 |
12 |
 | Ryan Stutsman | Explaining and evaluating the use of RDMA in high performance containers | Containers are an increasingly popular packaging framework for complex applications, offering benefits such as lightweight isolation, portability, and ease of deployment. These benefits have the potential to solve a myriad of issues that have long been present in the high performance computing world... | | 2022 |
13 |
 | Machado, Liam | Extending Support for Floating-Points in the Boogie and Smack Software Verifiers | Software verification, which aims to prove critical properties about programs using rigorous formal methods based on logic, is an active area of research in the field of computer science. In particular, the veri#12;cation of floating-points is a topic of paramount importance, given their ubiquity ac... | Boogie's; verification; floating- point | 2019 |
14 |
 | Lethaby, Aidan | Functional validation and improvement of a low-cost control system for assistive robotic devices | The goal of this research is to increase the affordability of portable and intuitive control systems for assistive robotic devices used by patients and researchers. Current control systems are either expensive or utilize unintuitive inputs such as foot-mounted inertia measurement units (for prosthes... | | 2022 |
15 |
 | Zhang, Conan | Fund Raising Game Development Through Crowdfunding | This paper seeks to formally review and evaluate a Kickstarter campaign launched by a team of five students at the University of Utah. First, an introduction to the topic and its environment is outlined to clarify where the project came from. Next, an overview of the product's design and development... | | 2017 |
16 |
 | Spackman, James | Game feel development analysis of student game final project | Game feel expresses the unique "feeling" a game provides to the player and is seen as an underdeveloped language that game developers are looking to leave their mark on. Achieving good game feel is challenging and requires a substantial number of resources through slow incremental developmental test... | | 2023 |
17 |
 | Herbert-Voss, Ariel | Generating audio mixtures using deep convolutional neural networks | Deep neural networks have recently been used in a generative capacity to separate and convolve the content and style of two input images. This is done using a joint cost function during gradient descent that encodes information about style and content to iteratively calculate forward node activation... | Computer sound processing; Computer music; Machine learning; Neural networks; Audio mixtures; Spectrograms; Split integer scaling | 2016-05 |
18 |
 | South, Koriann | How to stop AI from ruining the world: designing and pilot testing integrated al-ethics assignments | I would like to thank my thesis mentor, Dr. Eliane Wiese, for guiding me through the research process and supporting me for the past 3 years. I would also like to thank Ph.D. student Noelle Brown, Dr. Alan Kuntz, Dr. Suresh Venkatasubramanian, and Dr. Mu Zhang, who I worked with on this project. Par... | | 2022 |
19 |
 | Goller, Nicholas | Iterative game development: What goes into making an effective game and the lessons learned from making two games | Imagine you are told you have two semesters to make a game. You have a team of over ten people ready to help out. You even have the basic idea of what the game will be about. How hard can it be? Well, it is not that hard to make "a game" in two semesters. A competent coder can hack together a game... | Computer games - Design | 2016-04 |
20 |
 | Taylor, Andree Nicholas Crawford | Latent space planning for multi-object manipulation with enviornment-aware relational classifiers | A useful robot operating in human environments will no doubt encounter scenes where it needs to manage and manipulate multiple objects. The interactions of these objects with each other and the environment are important to reason about in order to predict the outcome of any action. We aim to learn a... | | 2024 |
21 |
 | Van der Merwe, Mark | Learning 3D Reconstructions for Geometrically aware Robotic Grasping | Robotic grasping is a crucial subtask of many important robotic applications, such as in-home robotic assistance, emergency responce robots, and industrial robotics. Deep learning has enabled remarkable improvements in robotic grasp synthesis for previously unseen objects from partial object views. ... | | 2020 |
22 |
 | Potter, Hannah | Lifting Coach: Using Machine Learning to Battle Musculoskeletal Damage | Many manual laborers develop musculoskeletal disorders performing their work duties. The prevalence of these issues is concerning because of the negative effects on workers' health and well-being, the great cost to workers who are not able to work temporarily or permanently, and the great cost to co... | Random; normalized | 2019 |
23 |
 | Yehle, Tobin | Memoized parsing with derivatives | Due to the computational complexity of parsing, constituent parsing is not preferred for tasks involving large corpora. However, the high similarity between sentences in natural language suggests that it is not necessary to pay the full computational price for each new sentence. In this work we p... | Parsing (Computer grammar) | 2016-04 |
24 |
 | Tayler, Andrew Nichola Crawford | Natural language guided goals for robotic manipulation | Goal specification for robotic manipulation is a critical area of research, defining how we interact with robots and how we communicate with them. We propose using universally guided diffusion to generate natural language goal aligned rigid body transforms, from segmented point clouds. We explore va... | specification | 2024 |
25 |
 | Nelson, Jennifer | Partial-Order Ambiguous Observations of Fluents and Actions for Goal Recognition as Planning | This work readies goal recognition for real-world scenarios by adapting a foundational compilation by Ram´ırez and Geffner to work with partial-order, ambiguous observations of both facts and actions. We first redefine what observations can be and what it means to satisfy them. We provide a compil... | | 2020 |