Computer Engineering Commons^™

Stickars: Effortlessly Apply A Fun Overlay To The Real World, Théo Arrouye, Jackson Centeno, Morgan Fleshren, Vasilis Odysseos

Computer Science and Engineering Senior Theses

Augmented Reality (AR) technology has slowly seeped into the mainstream as many mobile phone manufacturers increasingly develop hardware and software that enable AR applications. While the technology has been available for the past few years, there are not many compelling AR applications available on mobile phones. Additionally, shared AR experiences are difficult to produce and share. In order to create a compelling AR application, we created StickARs, an iOS application that makes it easy to create and share AR experiences , by placing virtual stickers anywhere in the world.

StickARs allows users to choose from a predefined set of sticker …

Nicaragua Weather Application, Alexa Grau, Justin Ling, Greta Seitz

Computer Science and Engineering Senior Theses

ASDENIC is an organization that partners with local farmers and citizens in northern Nicaragua to provide resources and information to ensure the safety of residents and optimize agricultural techniques. Currently, a singular, localized weather station collects useful information on patterns that can be used for indicators, yet the data requires manual processing and there is not a system in place to report the findings. The current method of information transfer is in person during weekly meetings which can be ineffective and inconsistent.

In continuation of a previous project focused on sharing water quality information, our mobile application acts as a …

Understanding Covid-19 Public Sentiment Towards Public Health Policies Using Social Media Data, Olivia Figueira, Yuka Hatori, Liying Liang, Christine Chye

Computer Science and Engineering Senior Theses

With the outbreak of the COVID-19 pandemic, an overabundance of information related to the virus was released through social media. While more information can ultimately help people learn about the virus and how to protect themselves from it, there has been a lack of uniformity amongst individual states and the federal government in regards to policies and health guidelines (69), which may lead to the public being confused on the best guidelines to follow. There has also been an ideological divide driven by political polarization in the US on how to respond to this pandemic, causing greater contention (17; 86; …

Jamming Attack Workaround Study, Soren Madsen, Jack Schoen

Interdisciplinary Design Senior Theses

The Internet of Things (IoT) is a fast growing industry with strong footholds in the smart home market featuring devices such as the Amazon Echo, Ring security cameras, smart TVs, and much more. However, it doesn’t stop there; the industrial sector has begun using smart devices for measurement, automated tasks, and time sensitive communication. Many of these devices have become reliant on WiFi technology and are vulnerable to attacks on the security of the protocols involved.

In this paper, we discuss the details of the deauthentication attack on WPA and WPA2 systems and propose a solution for detection and recovery …

Siheyuan, Andrea Horvath, Isabel Wu

Computer Science and Engineering Senior Theses

Learning Chinese as a second language often poses a challenge to students, and the extensive non-alphabetic script that accompanies it adds to the complexity of the language. It can take years for a student to feel comfortable writing with Chinese characters, and practice is a key component of this learning process. Most practice includes repetitive writing of the characters until the student memorizes the look and stroke order of a character, but this method could be improved with the addition of visuals and audio to enhance the learning experience. The stakeholders of this problem are students seeking to learn the …

Lightweight Speed Protocol, Zachary James Hardy

Computer Science and Engineering Senior Theses

In this project, we aimed to design and implement a network protocol, using existing C networking libraries as a foundational basis for expansion and elaboration. Our design, Lightweight Speed Protocol (LSP), aims to offer increased flexibility and adaptability for programmers utilizing our protocol compared to existing alternatives (such as TCP). LSP aims to offer these benefits by utilizing variable levels of encryption (specifiable by the programmer using our protocol) and customizable amounts of cache space to store these varying levels of encryption algorithms. In order to give developers as much flexibility as possible, we want to pass on to them …

Martha: Offline Streaming Media For Cameroonian Refugees, Sarah Ahmed, Marco Marenzi, Leila Scola

Computer Science and Engineering Senior Theses

MARTHA is a mobile application intended to deliver educational content to refugees from Cameroon currently residing in Nigeria. Refugees were forced to flee after advocating for educational freedom, so education is of utmost importance to those residing in these refugee camps. Parents want their children to benefit from learning general educational content, as well as vocational content which is important for social mobility. Our application will display files that can be followed at the users’ pace. While the project entails two phases, the final goal is to have a Raspberry Pi act as a server and local database, allowing local …

A Method For Monitoring Operating Equipment Effectiveness With The Internet Of Things And Big Data, Carl D. Hays Iii

Master's Theses

The purpose of this paper was to use the Overall Equipment Effectiveness productivity formula in plant manufacturing and convert it to measuring productivity for forklifts. Productivity for a forklift was defined as being available and picking up and moving containers at port locations in Seattle and Alaska. This research uses performance measures in plant manufacturing and applies them to mobile equipment in order to establish the most effective means of analyzing reliability and productivity. Using the Internet of Things to collect data on fifteen forklift trucks in three different locations, this data was then analyzed over a six-month period to …

Music For Me, Zachary Graber, William Henrion

Computer Science and Engineering Senior Theses

Music For Me is an online web application that enables users to compose improvised music alongside an AI. Users have an array of understandable, easy to use yet powerful options available to them. While previous AI-collaborative music improvisation tools exist, they are either limited in scope, with minimal structure and user customization or completely overwhelming with a large amount of provided options so as to be inaccessible except to those dedicated to learning the program. This web application provides an intersection between these two extremes, providing a pick-up and play model that allows for a rich improvisational experience while still …

Physically Based Rendering Techniques To Visualize Thin-Film Smoothed Particle Hydrodynamics Fluid Simulations, Aditya H. Prasad

Dartmouth College Undergraduate Theses

This thesis introduces a methodology and workflow I developed to visualize smoothed hydrodynamic particle based simulations for the research paper ’Thin-Film Smoothed Particle Hydrodynamics Fluid’ (2021), that I co-authored. I introduce a physically based rendering model which allows point cloud simulation data representing thin film fluids and bubbles to be rendered in a photorealistic manner. This includes simulating the optic phenomenon of thin-film interference and rendering the resulting iridescent patterns. The key to the model lies in the implementation of a physically based surface shader that accounts for the interference of infinitely many internally reflected rays in its bidirectional surface …

Object Manipulation With Modular Planar Tensegrity Robots, Maxine Perroni-Scharf

Dartmouth College Undergraduate Theses

This thesis explores the creation of a novel two-dimensional tensegrity-based mod- ular system. When individual planar modules are linked together, they form a larger tensegrity robot that can be used to achieve non-prehensile manipulation. The first half of this dissertation focuses on the study of preexisting types of tensegrity mod- ules and proposes different possible structures and arrangements of modules. The second half describes the construction and actuation of a modular 2D robot com- posed of planar three-bar tensegrity structures. We conclude that tensegrity modules are suitably adapted to object manipulation and propose a future extension of the modular 2D …

Learning Medical Materials From Radiography Images, Carson Molder, Benjamin Lowe, Justin Zhan

Computer Science and Computer Engineering Faculty Publications and Presentations

Deep learning models have been shown to be effective for material analysis, a subfield of computer vision, on natural images. In medicine, deep learning systems have been shown to more accurately analyze radiography images than algorithmic approaches and even experts. However, one major roadblock to applying deep learning-based material analysis on radiography images is a lack of material annotations accompanying image sets. To solve this, we first introduce an automated procedure to augment annotated radiography images into a set of material samples. Next, using a novel Siamese neural network that compares material sample pairs, called D-CNN, we demonstrate how to …

The Effects Of Artificial Intelligence On Competitive Sports, Qiyu Pu

School of Professional Studies

This Research thesis is to explore the application and impact of artificial intelligence in the field of competitive sports, discover the risks and problems in it, and discuss solutions. Nowadays, artificial intelligence has been applied to all walks of life, and the field of competitive sports is no exception, such as VR video technology, artificial intelligence for competition and player data analysis, artificial intelligence equipment to help players train, artificial intelligence to develop tactics, etc. But artificial intelligence has also brought about problems such as disrupting game viewing, making intellectual competitive sports meaningless, and threatening the status of industry practitioners. …

Data Integrity Preservation Schemes In Smart Healthcare Systems That Use Fog Computing Distribution, Abdulwahab Fahad S. Alazeb, Brajendra Panda, Sultan Ahmed A Almakdi, Mohammed Saleh H. Alshehri

Computer Science and Computer Engineering Faculty Publications and Presentations

The volume of data generated worldwide is rapidly growing. Cloud computing, fog computing, and the Internet of things (IoT) technologies have been adapted to compute and process this high data volume. In coming years information technology will enable extensive developments in the field of healthcare and offer health care providers and patients broadened opportunities to enhance their healthcare experiences and services owing to heightened availability and enriched services through real-time data exchange. As promising as these technological innovations are, security issues such as data integrity and data consistency remain widely unaddressed. Therefore, it is important to engineer a solution to …

The State Of Artificial Intelligence In Medical Imaging, Catalin Cristian Veghes

School of Professional Studies

This study explores the current state of Artificial Intelligence in medical imaging and provides an accessible assessment of how radiologists perceive the emerging technologies. Throughout the research, we analyze different aspects such as the adoption rate of Artificial Intelligence or the performance of state-of-the-art models, and we identify some of the significant barriers that prevent a wider adoption, such as the lack of collaboration between radiologists and computer scientists. Additionally, we provide a brief theoretical background that explains how deep learning works and how it can be helpful in medical imaging. We describe the architecture of a binary classifier in …

Pier Ocean Pier, Brandon J. Nowak

Computer Engineering

Pier Ocean Peer is a weatherproof box containing a Jetson Nano, connected to a cell modem and camera, and powered by a Lithium Iron Phosphate battery charged by a 50W solar panel. This system can currently provide photos to monitor the harbor seal population that likes to haul out at the base of the Cal Poly Pier, but more importantly it provides a platform for future expansion by other students either though adding new sensors directly to the Jetson Nano or by connecting to the jetson nano remotely through a wireless protocol of their choice.

Observation Of The Evolution Of Hide And Seek Ai, Anthony J. Catelani

Computer Science and Software Engineering

The purpose of this project is to observe the evolution of two artificial agents, a ‘Seeker’ and a ‘Hider’, as they play a simplified version of the game Hide and Seek. These agents will improve through machine learning, and will only be given an understanding of the rules of the game and the ability to navigate through the grid-like space where the game shall be played; they will not be taught or given any strategies, and will be made to learn from a clean slate. Of particular interest is observing the particular playstyle of hider and seeker intelligences as new …

Using Pitch Tipping For Baseball Pitch Prediction, Brian Ishii

Master's Theses

Data Analytics and technology have changed baseball as we know it. From the increase in defensive shifts to teams using cameras in the outfield to steal signs, teams will try anything to win. One way to gain an edge in baseball is to figure out what pitches a pitcher will pitch. Pitch prediction is a popular task to try to accomplish with all the data that baseball provides. Most methods involve using situational data like the ball and strike count. In this paper, we try a different method of predicting pitch type by only looking at the pitcher's pose in …

Scalable Cognitive Radio Network Testbed In Real Time, Kevin Z. Yu

Master's Theses

Modern society places an increasingly high demand on data transmission. Much of that data transmission takes place through communication over the frequency spectrum. The channels on the spectrum are limited resources. Researchers realize that at certain times of day some channels are overloaded, while others are not being fully utilized. A spectrum management system may be beneficial to remedy this efficiency issue. One of the proposed systems, Cognitive Radio Network (CRN), has progressed over the years thanks to studies on a wide range of subjects, including geolocation, data throughput rate, and channel handoff selection algorithm, which provide fundamental support for …

Adaptive Robotic Chassis (Arc): Robocrop A Smart Agricultural Robot Toolset, Steven Bucher, Krissy Ikeda, Brooke Broszus, Alejandro Gutierrez, Ariana Low

Interdisciplinary Design Senior Theses

RoboCrop is a payload system that attaches to an existing modular drivetrain to support the agriculture industry with their primary challenge of labor shortages. ARC: RoboCrop features three degrees of freedom as an XYZ Cartesian robot and is intended specifically for pruning strawberry flowers. The image bay camera attached to RoboCrop’s frame identifies the strawberry flowers, communicates their XYZ coordinates, and then the Cartesian robot moves to the desired locations. The snipping toolhead is interfaced at the bottom of the Z-stroke and performs the snipping process. RoboCrop has a proven success rate of at least 70% of flowers pruned in …