Computer Engineering Commons^™

Comparative Analysis Of Imputation Methods In Real Estate Data, Connor Donlen

Honors Theses

This project involves comparing different methods of missing data imputation in the context of predicting real estate listing prices. These methods are compared against each other in both their ability to recreate the original data and their effects on a final predictive model. In order to evaluate their effectiveness, first, a predictive model is made using the complete dataset to use as a benchmark for the imputed datasets. Then, a complete dataset is split into 80% training and 20% testing datasets, and missing values are created in the training data using two different missing data mechanisms, missing completely at random …

Automated Test Generation For Validating Systemc Designs, Bin Lin

Dissertations and Theses

Modern system design involves integration of all components of a system on a single chip, namely System-on-a-Chip (SoC). The ever-increasing complexity of SoCs and rapidly decreasing time-to-market have pushed the design abstraction to the electronic system level (ESL), in order to increase design productivity. SystemC is a widely used ESL modeling language that plays a central role in modern SoCs design process. ESL SystemC designs usually serve as executable specifications for the subsequent SoCs design flow. Therefore, undetected bugs in ESL SystemC designs may propagate to low-level implementations or even final silicon products. In addition, modern SoCs design often involves …

The Youplanner, Taylor Burgess

Williams Honors College, Honors Research Projects

Staying organized can be difficult. A four tier web application was created to help in the endeavor. Utilizing software engineering practices, an online notepad was created where users can add, update, and delete notes. The application was a full stack application. For the backend, MySQL was the language and phpMyAdmin was the server. For the front end, PHP and Bootstrap 5.1 was used.

Computational Simulation And Analysis Of Neuroplasticity, Madison E. Yancey

Browse all Theses and Dissertations

Homeostatic synaptic plasticity is the process by which neurons alter their activity in response to changes in network activity. Neuroscientists attempting to understand homeostatic synaptic plasticity have developed three different mathematical methods to analyze collections of event recordings from neurons acting as a proxy for neuronal activity. These collections of events are from control data and treatment data, referring to the treatment of neuron cultures with pharmacological agents that augment or inhibit network activity. If the distribution of control events can be functionally mapped to the distribution of treatment events, a better understanding of the biological processes underlying homeostatic synaptic …

Identifying Knowledge Gaps Using A Graph-Based Knowledge Representation, Daniel P. Schmidt

Browse all Theses and Dissertations

Knowledge integration and knowledge bases are becoming more and more prevalent in the systems we use every day. When developing these knowledge bases, it is important to ensure the correctness of the information upon entry, as well as allow queries of all sorts; for this, understanding where the gaps in knowledge can arise is critical. This thesis proposes a descriptive taxonomy of knowledge gaps, along with a framework for automated detection and resolution of some of those gaps. Additionally, the effectiveness of this framework is evaluated in terms of successful responses to queries on a knowledge base constructed from a …

An Adversarial Framework For Deep 3d Target Template Generation, Walter E. Waldow

Browse all Theses and Dissertations

This paper presents a framework for the generation of 3D models. This is an important problem for many reasons. For example, 3D models are important for systems that are involved in target recognition. These systems use 3D models to train up accuracy on identifying real world object. Traditional means of gathering 3D models have limitations that the generation of 3D models can help overcome. The framework uses a novel generative adversarial network (GAN) that learns latent representations of two dimensional views of a model to bootstrap the network’s ability to learn to generate three dimensional objects. The novel architecture is …

An Investigation Of Low Frequency Noise In Server Rooms, Ahmed Al Naami

Theses & Dissertations

Noise in a server room can have a major impact on the performance and well-being of the occupants. Sound level and low frequency noise are considered factors that influence the hearing ability of workers. This thesis is an investigation of low-frequency noise in server rooms. We conducted the field study in a server room for a large financial institution. Some employees in this study indicated that they experienced headaches from the noise and requested an analysis of the sound to determine if there were any potential adverse health effects. Attributes of the noise were investigated by evaluating the sound pressure …

A Twitter-Based Study For Understanding Public Reaction On Zika Virus, Roopteja Muppalla

Browse all Theses and Dissertations

In recent times, social media platforms like Twitter have become more popular and people have become more interactive and responsive than before. People often react to every news in real-time and within no-time, the information spreads rapidly. Even with viral diseases like Zika, people tend to share their opinions and concerns on social media. This can be leveraged by the health officials to track the disease in real-time thereby reducing the time lag due to traditional surveys. A faster and accurate detection of the disease can allow health officials to understand people's opinion of the disease and take necessary precautions …

Automated Rendering Of Schema Diagram For Ontologies, Nazifa Karima

Browse all Theses and Dissertations

Semantic Web extends the current web, using ontologies, metadata and other technologies to establish links between terms and concepts. This enables machines to automatically integrate information across different platforms utilizing the standard definitions. Furthermore, reasoning agents can infer new knowledge by gathering existing information and these additional connections between them. As a result of being designed and maintained independently, data sources exhibit highly heterogeneous nature. This increases the complexity of data integration and hinders interoperability. However, if we can align the overlapping concepts among different domains of knowledge, the prospect of achieving interoperability and integration without having any intermediate reasoning …

Visualization Of Carbon Monoxide Particles Released From Firearms, Sadan Suneesh Menon

Browse all Theses and Dissertations

A number of soldiers have come forward to report discomfort, irritation and respiratory problems after taking part in a live firing session. These problems are caused due to the fumes and particulates emitted from the gun upon firing. There exists substantial research work focused on lead and other harmful metallic particulates expelled from a firearm, since they are the most harmful among the other emissions. However, our research focuses on visualizing the carbon monoxide (CO) particles released from a firearm in order to help understand adverse effects they may have on the human body. We use data provided by researchers …

Rendering Owl In Latex For Improved Readability: Extensions To The Owlapi, Cogan M. Shimizu

Browse all Theses and Dissertations

As ontology engineering is inherently a multidisciplinary process, it is necessary to utilize multiple vehicles to present an ontology to a user. In order to examine the content of an ontology, formal logic renderings of the axioms appear to be a very helpful approach for some. This thesis introduces a number of incremental improvements to the OWLAPI's \LaTeX{} rendering framework in order to improve the readability, concision, and correctness of OWL files translated into Description Logic and First Order Logic. In addition, we examine the efficacy of these renderings as vehicles for understanding an ontology.

Spectrochet: A Game, Lucas Gnos

Computer Engineering

No abstract provided.

Deontological Ethical System For Google's Self-Driving Car, Edgard Alejandro Arroliga Jr.

Computer Science and Software Engineering

Google's Self-Driving Car is a revolutionary product that is riddled with ethical conundrums. It is able to accurately scan and drive through densely populated roads without much difficulty. However, there are some situations where the car will likely have to make decisions that affect, maybe even take, the lives of those on the road. Issues such as the Trolley Problem and the Rear-End Dilemma describe situations where there seems to be no single ethical answer as to how the car should act. In order to solve these issues, I propose that a Deontological Ethical System should be implemented because it …

Can You Hack It? Validating Predictors For It Boot Camps, Courtney Gear

All Graduate Theses, Dissertations, and Other Capstone Projects

Given the large number of information technology jobs open and lack of qualified individuals to fill them, coding boot camps have sprung up in response to this skill gap by offering a specialized training program in an accelerated format. This fast growth has created a need to measure these training programs and understand their effectiveness. In the present study, a series of analyses examined whether specific or combinations of predictors were valid for training performance in this coding academy. Self-rated, daily efficacy scores were used as outcome variables of training success and correlation results showed a positive relationship with efficacy …

Creating A 3d Racing Game In Opengl, Noah Harper

Computer Science and Software Engineering

No abstract provided.

Enterprise Smart Outlet: Android Development, Aaron Koeppel

Computer Science and Software Engineering

This project consists of one part of a larger multidisciplinary project, Enterprise Smart Outlet. The purpose of the Enterprise Smart Outlet is to create an electrical outlet which would allow enterprise users to monitor and change their power consumption habits on a large scale. The goal of this project is to allow consumers to see their power consumption per outlet in real time, and then use that information to inform their future habits, helping them conserve electrical energy and money. The Enterprise Smart Outlet Android application provides an interface to display the real time data of all smart outlets connected …

Automatic Human Face Detection In Color Images, Son Lam Phung

Theses: Doctorates and Masters

Automatic human face detection in digital image has been an active area of research over the past decade. Among its numerous applications, face detection plays a key role in face recognition system for biometric personal identification, face tracking for intelligent human computer interface (HCI), and face segmentation for object-based video coding. Despite significant progress in the field in recent years, detecting human faces in unconstrained and complex images remains a challenging problem in computer vision. An automatic system that possesses a similar capability as the human vision system in detecting faces is still a far-reaching goal. This thesis focuses on …

Web-Based Interactive Self-Evaluation System For Computer Science In Generic Tutorial System For The Sciences Project, Supachai Praritsantik

Theses Digitization Project

The goal of this master project is to promote and facilitate the use of new web-based and Java-based technologies in the development of self-evaluation systems for computer science; in particular, analysis of sorting algorithms.

Development Of Self-Adaptive Back Propagation And Derivative Free Training Algorithms In Artificial Neural Networks, Shamsuddin Ahmed

Theses: Doctorates and Masters

Three new iterative, dynamically self-adaptive, derivative-free and training parameter free artificial neural network (ANN) training algorithms are developed. They are defined as self-adaptive back propagation, multi-directional and restart ANN training algorithms. The descent direction in self-adaptive back propagation training is determined implicitly by a central difference approximation scheme, which chooses its step size according to the convergence behavior of the error function. This approach trains an ANN when the gradient information of the corresponding error function is not readily available. The self- adaptive variable learning rates per epoch are determined dynamically using a constrained interpolation search. As a result, appropriate …

The Application Of Object-Oriented Techniques To Preliminary Design Problems, Patrick S. Mackessy

Theses: Doctorates and Masters

Preliminary structural design is an early stage in building design during which the engineer formulates and assesses a number of different structural schemes. It is conceptual in nature and involves decision making, which relies on heuristics. Whilst preliminary structural design has not been well supported by PC software, recent research has indicated the potential for knowledge-based, object-oriented systems to assist in the area. This thesis explores the issues that arise when object-oriented techniques arc used to develop knowledge-based software. lt reviews certain basic principles of structural design, methods of representing structural design knowledge and earlier approaches to the design of …

Automated Circulation Control For The Utah State University Library, Richard M. Montgomery

All Graduate Theses and Dissertations, Spring 1920 to Summer 2023

This package of programs is a result of the U.S.U. Library incorporating an automated control on the circulation of their books, which would provide the library with a daily record of all books in circulation, or not available for circu­lation, and send notices when books were overdue.

Because of the long-range program of the Data Processing Department of the University, it was decided to develop the software for this project rather than purchase the hardware.